From di.zhu3 at students.mq.edu.au  Mon Dec  2 09:01:38 2019
From: di.zhu3 at students.mq.edu.au (Judy Zhu)
Date: Mon, 2 Dec 2019 19:01:38 +1100
Subject: [FieldTrip] Magnitude of estimated source activity
Message-ID: <CA+GWpw9exbHUoPWWFzWKBo+BNRqF_H8yLy5kVyWBkaQoSRTdCw@mail.gmail.com>

Dear FieldTrip experts,

My name is Judy Zhu and I am a PhD student at Macquarie University in
Sydney, Australia.

I am using an LCMV beamformer in fieldtrip to estimate source activities
from MEG data. My aim is to compute the magnitude of brain activity in
selected ROIs over a timecourse, without worrying about the orientation of
that activity. I am using free dipole orientation for the beamformer
(cfg.lcmv.fixedori = 'no'), which gives me 3 spatial filters (1 on each
axis) for each source vertex. Then I use spatial_filter * ERF to obtain 3
timecourses for each vertex, and then take the norm at every time sample,
so that I eventually end up with 1 timecourse for this vertex. My
understanding is that, by keeping all 3 orientations, I would obtain (for
each orientation) a timecourse representing the absolute magnitude of
activity at that source vertex in that orientation, and hence the entire
timecourse should be positive. However, that is not the case - the
timecourse for each orientation always contain positive and negative
values. Is this as expected? What does the sign represent here?

Here's my code snippet:

cfg                 = [];
cfg.keeptrials      = 'no';
cfg.channel         = 'MEG';
cfg.grad            = grads;
cfg.senstype        = 'MEG';
cfg.method          = 'lcmv';
cfg.grid            = grid;
cfg.grid.unit       = 'cm';
cfg.headmodel       = headmodel;
%cfg.lcmv.lamda      = '5%';
cfg.lcmv.lamda      = '100%'; % regularisation parameter - set to 1 here
because our data is rank-reduced (due to rejecting ICA comps)
cfg.lcmv.fixedori   = 'no';
cfg.lcmv.keepfilter = 'yes';
cfg.lcmv.projectmom = 'no';
cfg.lcmv.normalize  = 'yes'; %corrects for depth bias?
source_combined = ft_sourceanalysis(cfg, erf_allconds); % create spatial
filter

% spatial filter for a selected vertex
F = source_combined.avg.filter{vertex_idx};

% compute source timecourses in all 3 orientations for each condition
for i = conds
    VE.(cond_names{i}).avg = F(:,:) * erf.(cond_names{i}).avg(:,:); %
estimated source activity = filter * erf
end

When using "free orientation" in ft_sourceanalysis, is the orientation
information still embedded in the spatial filter generated? If so, how do I
extract just the magnitude information? I've had a look at the other fields
in the output, and these don't seem to be what I am after. The .mom field
seems to be an estimated timecourse for each vertex (i.e. spatial_filter *
ERF_averaged_over_all_conditions), and the .pow field contains a single
value for each vertex (averaged over time?)

Any advice would be highly appreciated!

Many thanks,
Judy
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From umkraemer at gmail.com  Tue Dec  3 12:56:51 2019
From: umkraemer at gmail.com (Ulrike Kraemer)
Date: Tue, 3 Dec 2019 12:56:51 +0100
Subject: [FieldTrip] Post-doc position at University of Lubeck, Germany
Message-ID: <CALrk5KqU09Qp+wyrVwRji=Xn1EmcRXZPh22Jmxjiy8TDriS0ng@mail.gmail.com>

Dear colleagues,

please see the attached pdf for a 3 year post-doc vacancy in social
cognitive neuroscience at our lab (cns-luebeck.de) at the University of
Lübeck.

Please feel free to forward to potentially interested candidates.

Best wishes,

Ulrike Krämer.
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From sabbaspoor.neusci at gmail.com  Tue Dec  3 19:55:23 2019
From: sabbaspoor.neusci at gmail.com (Saman Abbaspoor)
Date: Tue, 3 Dec 2019 12:55:23 -0600
Subject: [FieldTrip] Intratrial phase coherence (phase concentration) for a
 broad range of frequencies
Message-ID: <CAB4L7-ZE+t76o95k7nSkS_7caUt7jZhXr5xQCdUp3uN=SWcu3g@mail.gmail.com>

*Dear Fieldtrip family,*

As part of my project, I would like to use Fieldtrip to plot phase
concentration for a range of frequency (3 - 9 Hz) over the whole time
length of a signal. I am trying to generate figure 3A on the following
paper: https://www.jneurosci.org/content/31/50/18423.short

This instantaneous phase should be for a broad range of frequencies (3 - 9
Hz) not a specific frequency (e.g. 3Hz).

I have read on one of your email discussions that I can use the following
approach:
1 - Do the time-frequency analysis
3 - take the instantaneous phase by using "*angle*" in Matlab
4 - Then use "*circ_r*" in circular statics toolbox (or using the
formula: *abs(mean(exp(1i
* Phase), 1))* )
5 - Plot over time

Yet, this will give me the frequency-specific phases that I am not looking
for. I am looking for phase concentration for a broad frequency band.

My approach was to:
1 - Filter the data in the frequency range of interest using a Butterworth
filter
2 - take the Hilbert Transform of the signals (*hilbert* function in Matlab)
3 - take the instantaneous phase by using "*angle*" in Matlab
4 - Then use "*circ_r*" in circular statics toolbox (or using the
formula: *abs(mean(exp(1i
* Phase), 1))* )
5 - Plot over time

It gives me some strange looking results that might get fixed by binning
the angular data.

I would like to know how I can implement this analysis in Fieldtrip.

Looking forward to hearing from you.

Best regards,

*SAM*

Saman Abbaspoor
Ph.D. Student | Vanderbilt University | Psychological Sciences Department
*mobile: (615) 705-94 <(615)+238-7261>16*
*email: saman.abbaspoor at vanderbilt.com <saman.abbaspoor at vanderbilt.com>*
*skype: saman95abbaspour*
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From umkraemer at gmail.com  Wed Dec  4 09:06:19 2019
From: umkraemer at gmail.com (Ulrike Kraemer)
Date: Wed, 4 Dec 2019 09:06:19 +0100
Subject: [FieldTrip] 3-year Post-doc position at University of Lubeck,
 Germany
Message-ID: <CALrk5KqKywfEf2tsNHXGLsmnrgzdnCg=p14AJg89rqGQ=mybkQ@mail.gmail.com>

The Cognitive Neuroscience Lab, headed by Prof. Dr. Ulrike Krämer
(*cns-luebeck.de
<http://cns-luebeck.de>*) at the Department of Neurology, University of
Lübeck, is seeking to hire a

*Post-doctoral Researcher*

starting by April 2020, initially for 3 years, with the option of
extension. The post-doc is expected to get involved in the lab’s research
projects on empathy, action understanding and aggression and should develop
her/his own line of research within the lab’s research framework.

We are looking for a person with a promising track record in the field of
cognitive neuroscience, who holds a degree in psychology, cognitive
science, physics, or engineering. Expertise in human neuroscience methods
and experience in programing and statistical analyses (MATLAB, R) is
expected. Persons with a background in advanced EEG analysis methods who
are interested in applying this knowledge to social neuroscience questions
are especially welcome to apply.

The position involves teaching seminars in Basic Psychology and Cognitive
Neuroscience (typically 4 hours/week during the semester). As teaching is
primarily in German, candidates are expected to have German language
proficiency or be willing to learn German.

The lab is located at the Center for Brain, Behavior and Metabolism (CBBM),
which offers an excellent and state-of the-art research environment. At the
CBBM, several EEG, an fNIRS-system and a research dedicated Siemens Skyra
3T MRI are available.

The University of Lübeck is a modern university specializing in Medicine,
Computer Science, Molecular Biology, Psychology, Biomathematics and Medical
Engineering. Internationally renowned research and high standards of
academic tutoring characterize the profile of the university.

Payment will follow salary group E13 TV‑L (full time), if conditions based
on German Public service regulations are satisfied. The University of
Lübeck is an equal opportunities employer. Applications from female
candidates are strongly encouraged. In case of compatible qualifications,
preference will be given to people with disabilities

Questions regarding the position can be directed to Prof. Ulrike Krämer (
ulrike.kraemer at uni-luebeck.de) or Dr. Macià Buades Rotger (
macia.rotger at neuro.uni-luebeck.de), who currently holds the position.
Applications
should include a cover letter, CV, list of publications and contact details
of two potential references. Applications should be sent as single pdf-file
to Ulrike Krämer (email above). Applications will be considered until
February 15th or until the position is filled (whichever happens first).
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From Johannes.Sarnthein at usz.ch  Wed Dec  4 13:24:20 2019
From: Johannes.Sarnthein at usz.ch (Sarnthein Johannes)
Date: Wed, 4 Dec 2019 12:24:20 +0000
Subject: [FieldTrip] open 1-year Postdoc  position in Zurich
In-Reply-To: <c3bf6385e3434d2c858e736b6c94af38@usz.ch>
References: <c3bf6385e3434d2c858e736b6c94af38@usz.ch>
Message-ID: <f833f25fb7c1466e80b0b2a9a39aac33@usz.ch>

We aim to fill a 1-year Postdoc position in pediatric epilepsy research.
Please forward to persons that might be interested.
Given the tight schedule and visa requirements, only EU citizens or Swiss residents can be accepted.
Thanks and all the best,
Johannes Sarnthein

Prof. Dr. techn. Johannes Sarnthein | Intraoperative Neurophysiologie | Klinik für Neurochirurgie
UniversitätsSpital Zürich | Frauenklinikstrasse 10 | 8091 Zürich | Schweiz | +41 44 255 5672 |



The Neurosurgery Department at USZ is collaborating with the Department of Neuropediatrics at University Children's Hospital Zurich to investigate biomarkers to monitor therapy in children with epilepsy. We are currently looking for a

Postdoc in clinical neuroscience

We aim to develop biomarkers that can quickly and reliably monitor the effects of therapy in scalp EEG recordings of children with epilepsy. In particular, High-Frequency Oscillations (HFO) have been recently proposed to monitor epilepsy therapy.

You will be responsible for the computational and theoretical aspects of the project, which aims to develop the optimal algorithms for identifying these biomarkers. While a large body of data is already available, you will also participate in data acquisition from scalp EEG in children with epilepsy. You will spend time both at the Department of Neuropediatrics, University Children's Hospital, and at the Department of Neurosurgery, University Hospital Zurich.

We offer advanced, interdisciplinary Postdoc training and participation in cutting-edge clinical neuroscience research projects. The highly competitive salary follows Swiss National Science Foundation guidelines. The successful candidate will benefit from the ZNZ postdoctoral program.

You have a PhD degree in Neuroscience, Psychology, Physics or related fields; knowledge in programming, time series analysis and machine learning; good written and spoken English; strong team-working abilities and excellent communication skills. Basic knowledge in neuroscience is required. For communicating with patients and technicians during EEG recordings, some German would be beneficial.

We look forward to receiving your email application including a letter of motivation, CV, diplomas, and contact details of 2 referees. We accept applications submitted through our online application portal www.jobs.uzh.ch<http://www.jobs.uzh.ch>

For further information please visit our websites www.neurochirurgie.usz.ch<http://www.neurochirurgie.usz.ch> and www.kispi.uzh.ch<http://www.kispi.uzh.ch>. Questions regarding the position can be directed to Johannes.Sarnthein at usz.ch<mailto:Johannes.Sarnthein at usz.ch> or Georgia.Ramantani at kispi.uzh.ch<mailto:Georgia.Ramantani at kispi.uzh.ch>

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From N.Vardalakis at student.tudelft.nl  Thu Dec  5 10:46:56 2019
From: N.Vardalakis at student.tudelft.nl (Nikolaos Vardalakis)
Date: Thu, 5 Dec 2019 09:46:56 +0000
Subject: [FieldTrip] ft_sourcestatistics over ROIs
Message-ID: <03d711db603040c0ab832a6fa35ff29c@student.tudelft.nl>

Hello community,


As the title says, I am trying to run a statistical analysis between two conditions at the source level. I am performing a single-subject, between-trials statistical analysis using the Montecarlo method and ft_sourcestatistics, on localized sources using the LCMV beamformer, which I would like to constraint over a specific ROI (the motor cortex).


However, the tutorials are very limited in the scope of running statistics at the source level. Plus, it seems that the incorporation of prior knowledge in the form of ROIs is still not implemented in the function (?). Is there any way to bypass this and test for significance over specific ROIs? I understand that cluster analysis can only be used to accept/reject the null-hypothesis, and the locations of the clusters cannot be used as spatial markers of the activity, something which is specified here: http://www.fieldtriptoolbox.org/faq/how_not_to_interpret_results_from_a_cluster-based_permutation_test/


At first, I thought I would create a mask over the ROIs I am interested in, and use that mask to "zero out" the power in all other source locations before running the statistical analysis. Is that the "correct" way to go about it? Should I normalize the power of the remaining sources in some way, since I am removing power from other areas across the brain?


Obviously if any of you have any other suggestions, I would gladly read them.


Thank you all for your time!


P.S. I am attaching my code for the statistical analysis down below. This code produces the exact same results both w/ and w/o the atlas/roi cfg options.


statistics
cfg                     = [];
cfg.dim                 = sources_all.dim;
cfg.method              = 'montecarlo';
cfg.statistic           = 'ft_statfun_indepsamplesT';       %function to use when calculating the parametric t-values

cfg.parameter           = 'pow';

cfg.alpha               = 0.05;         % (type-I error rate) - note that this only implies single-sided testing
cfg.tail                = 0;            % two-sided test
cfg.correcttail         = 'alpha';      % Bonferroni correction for the two tails, i.e., divide alpha by two
%     cfg.correcttail         = 'prob';       % multiplying the p-values (in stat.prob, stat.posclusters.prob and stat.negclusters.prob) with a factor of two

cfg.correctm            = 'cluster';    % the correction to use
cfg.numrandomization    = 1000;

cfg.design              = eeg_all_curr.trialinfo;
%     cfg.uvar                = 1; % row of design matrix that contains unit variable (in this case: trials)
cfg.ivar                = 1; % row of design matrix that contains independent variable (the conditions)

% prepare neighbours sctructure
cfg_neigh               = [];
cfg_neigh.elec          = elec;
cfg_neigh.method        = 'triangulation';
cfg_neigh.feedback      = 'no';  % visualizes the neighbors
neighb                  = ft_prepare_neighbours(cfg_neigh);

cfg.neighbours          = neighb;   % the spatial structire
cfg.minnbchan           = 2; % minimum number of channels required to form a cluster

% load the atlas
atl = ft_read_atlas([paths.templ '\atlas\brainnetome\BNA_MPM_thr25_1.25mm.nii']);

% specify ROIs
cfg.atlas               = atl;
cfg.roi                 = atl.tissuelabel(contains(atl.tissuelabel, 'precentral', 'IgnoreCase', true) & contains(atl.tissuelabel, 'Left', 'IgnoreCase', true));

stats                   = ft_sourcestatistics(cfg, sources_all);

save('stats.mat', 'stat');
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From jan.schoffelen at donders.ru.nl  Fri Dec  6 14:06:58 2019
From: jan.schoffelen at donders.ru.nl (Schoffelen, J.M. (Jan Mathijs))
Date: Fri, 6 Dec 2019 13:06:58 +0000
Subject: [FieldTrip] Fwd: Postdoc in ML & AI in brain imaging
References: <67C1D5CF-F4CC-4CA7-9456-904BCACAA3B1@ohba.ox.ac.uk>
Message-ID: <5FA17207-3639-4B9E-829B-ECBEBBED613D@donders.ru.nl>

Dear FieldTrip community,

On behalf of Mark Woolrich: please see below an advertisement for an exciting opportunity to do cool work combining brain imaging with machine learning.

Best wishes,
JM

_____________________________________________________________________________________________________________________________________________________________________________________________


Postdoctoral Researcher in Machine Learning for Brain Imaging

Applications are invited for a Postdoctoral Researcher to work on a Wellcome Trust funded project, Exploring the Mechanisms of Distributed Spontaneous Brain Activity. The project is led by Professor Mark Woolrich and uses a combination of electrophysiology (M/EEG, LFP recordings), fMRI and computational methods development to advance our understanding of brain network dynamics. The post is based at the Wellcome Centre for Integrative Neuroimaging (WIN -  https://www.win.ox.ac.uk <https://www.win.ox.ac.uk/> ) for 2 years (in the first instance).

You will build novel machine learning and artificial intelligence techniques to gain new insights into the nature of brain network dynamics from functional neuroimaging data (fMRI, M/EEG, LFP). You will also interact with, and make important contributions to, a wider research programme, between Oxford (WIN), London (Kings’s College) and Nijmegen (Donders Institute); and you will be at the heart of some of the major brain imaging initiatives.

You will have or be close to completion of a PhD in a neuroimaging, computational neuroscience, machine learning, applied statistics, information engineering, computer science, engineering maths, physics or a relevant computational domain. With knowledge of machine learning, and/or engineering maths you will have the necessary mathematical and computational skills to put these into practice. Good knowledge in statistics and/or Bayesian learning would be desirable.

The closing date for this post is 12.00 midday on 20 January 2020. See https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=144323  to apply.

Please contact Prof. Mark Woolrich for informal enquiries: mark.woolrich at ohba.ox.ac.uk<mailto:mark.woolrich at ohba.ox.ac.uk>


_______________________________________________________________________________________________________________________________________________________________________________________________


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From t.donner at uke.de  Sat Dec  7 16:04:51 2019
From: t.donner at uke.de (Tobias Donner)
Date: Sat, 7 Dec 2019 16:04:51 +0100
Subject: [FieldTrip] Several Postdoc Positions to be filled in 2020
Message-ID: <D7359B00-90AB-4950-A0B8-569E47E3E433@uke.de>

Several Postdoc Positions in Computational Cognitive Neuroscience to be filled in 2020

The Donner lab at the University Medical Center Hamburg-Eppendorf (UKE) aims to fill several postdoc positions during the course of 2020. The vacant positions are for projects in computational cognitive neuroscience with links to psychiatry, and they are funded for a full duration between two and five years. Positions can start any time from March 2020 to early 2021. Applications will be reviewed until all positions are filled.

The Donner lab combines pharmacological intervention, psychophysics, eye-tracking, and neuroimaging (MEG and fMRI) in human subjects with computational modeling and advanced data analysis. Ongoing work focuses on (i) decision-related cortical feedback signals and biases in perception and cognition (including confirmation biases); (ii) the impact of cortical excitation-inhibition balance on inference and decision-making; and (iii) the shaping of the latter by neuromodulatory systems (including stress). These topics are studied in the healthy brain and in neuropsychiatric disorders. The lab maintains several collaborations with leading theoretical, cellular, and clinical neuroscientists. The UKE provides an excellent infrastructure for state-of-the-art cognitive neuroscience, including multiple neuroimaging facilities (e.g., research-only MEG and MRI scanners, EEG and TMS systems), and a streamlined procedure for pharmacological intervention studies in healthy human subjects.

The new lab members will join existing teams with extensive expertise in the above techniques and topics. In addition to running new experiments, there is an option to engage in (i) data analysis / modeling projects on an already existing pool of pharmacological MEG data sets targeting distinct neurotransmitter systems, and (ii) ongoing collaborations on brain disorders and in-vivo neurophysiology (including calcium imaging and opto/-chemogenetics) within the Collaborative Research Center 936 <http://www.sfb936.net/>.

The Donner lab is committed to diversity and seeks applications from qualified individuals from all demographics, genders, and backgrounds.

Candidates should have or expect a Ph.D. in neuroscience or related discipline, and strong computational and analytical skills. Experience in quantitative psychophysics, behavioral/neural modeling, MEG, and/or advanced data analysis, is a plus. However, the main criteria are a strong academic track record and a commitment to scientific excellence.

Applications should include a motivation letter, a CV including publication list, copies of university degrees and courses (including obtained grades), and the names and e-mail addresses of two scientists, who can provide references (do not include reference letters). The publication list should include also manuscripts / thesis chapters under review or in preparation, and conference abstracts, plus a brief (2-3 sentences) synopsis of all lead-author papers. Copies of key papers and preprints are welcome.

Please send your application materials as PDF (ideally in one file) to: t.donner at uke.de <mailto:t.donner at uke.de>
Further information on, and publications from the lab, can be found here: http://www.tobiasdonner.net <http://www.tobiasdonner.net/>

Prof. Dr. Tobias H. Donner 
Professor of Integrative Neuroscience
University Medical Center Hamburg-Eppendorf

 
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--

_____________________________________________________________________

Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de
Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Marya Verdel
_____________________________________________________________________

SAVE PAPER - THINK BEFORE PRINTING
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From eusvansomeren at gmail.com  Sun Dec  8 15:51:43 2019
From: eusvansomeren at gmail.com (Eus van Someren)
Date: Sun, 8 Dec 2019 15:51:43 +0100
Subject: [FieldTrip] Vacancy Sleep, Cognition,
 Emotion MRI/EEG/machine learning/online assessment
Message-ID: <E5CD59FC-D3A6-44D0-A63A-18F30D82A68F@gmail.com>

Dear colleagues,

I hope you can help me and my Sleep, Cognition and Emotion lab to find one or more appropriate candidates for vacancies.
We have exciting job opportunities for technically skilled postdocs (or exceptional MSc's for a PhD trajectory) to work within an ERC-AdG project on brain mechanisms of insomnia and the risk of depression.

We are looking for scientists with strong capabilities in one or more of the following areas:
· Complex web-based assessment and intervention (now implemented in PHP/Symphony);
· High-dimensional neuroimaging analysis (MRI, DTI, fMRI, rsfMRI);
· High-density (256-chn) EEG and ERP analysis (wake and sleep);
· Cluster computing;
· Machine learning.

Please find below a description. I would appreciate it if you would be so kind to distribute it among whoever you think might be interested.
Thanks a lot and all the best,

Eus van Someren (e.van.someren at nin.knaw.nl <mailto:e.van.someren at nin.knaw.nl>)

------------------------------------

The Netherlands Institute for Neuroscience (NIN) is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW). We aim to explain how circuits of neurons enable us to see the world and act upon it.


The Sleep, Cognition and Emotion lab has an exciting job opportunity for a 

Post-doc (or highly skilled PhD student)

to work within an ERC-AdG project on
brain mechanisms of insomnia and the risk of depression

We are looking for a scientist with strong capabilities in one or more of the following:
· Web-based assessment and intervention (now implemented in symphony);
· High-dimensional neuroimaging analysis (MRI, DTI, fMRI, rsfMRI);
· High-density  (256-chn) EEG and ERP during wake and sleep;
· Cluster computing;
· Machine learning.


We're looking for a post-doc, but may alternatively consider a highly skilled PhD student.

Are you familiar with the development and/or application of scripts for web-based assessment and database management, or for analysis of high-dimensional imaging data? Do you have strong methodological, data management and analysis skills? Do you have strong interest in the role of brain structure and function in mental disorders? Can you complement our research program, which is dedicated to understanding the brain circuits involved in insomnia? Do you have excellent writing skills? Would you enjoy working in close collaboration with colleagues in our group and at neighboring institutes of Amsterdam Neuroscience and worldwide? Then this job may be for you.

The mission of our research group is to understand brain mechanisms of insomnia. In collaboration with other research groups, projects cover genetic vulnerability and animal models to comprehensive assessment ranging from brain structure and function to online surveys, wearables and experience sampling in human volunteers. 

Over the past few years, the group acquired a unprecedented rich multivariate dataset of all mentioned modalities in about 200 cases with insomnia disorder and 100 controls without sleep complaints. The current main research questions are:
•	which combination of features discriminates people with different subtypes of insomnia and controls without sleep complaints?
•	who among people with insomnia are resilient vs. at risk of developing depression or anxiety?
•	what are the mechanisms that put people with insomnia at risk of developing depression or anxiety?
For further reading, see e.g. (Jansen, Nat Genet 2019;51:394; Blanken, Lancet Psychiatry 2019;6:151; Wassing, Brain 2019;142:1783; Wassing, Curr Biol 2019;29:2351).

Job description
You would have the following responsibilities:
•	advanced web-based assessment and intervention implementation or data analyses on the above mentioned modalities to address mentioned main questions
•	mentor PhD students and their use of advanced analyses and cluster computing
•	write up findings in formats that could generate interest of leading journals
•	actively collaborate with colleagues

Desired skills and experience: a combination of components from:
•	you have obtained your PhD degree, or will soon;
•	experience with implementing and managing complex web-based assessment and intervention and underlying database structure;
•	experience with the analysis of high-dimensional neuroimaging data (one or more of: MRI, DTI, fMRI, rsfMRI, HD-EEG, ERPs during wake or sleep);
•	advanced programming skills in one or more of the following: Matlab, R and/or Python;
•	Familiar with Linux and cluster/distributed computing;
•	your track record in scientific research includes publications in relevant journals
•	excellent writing skills;
•	ability to work and troubleshoot independently as well as collaboratively;
•	experience with machine learning / deep learning is a pre;
•	experience with sleep, mental disorders or even specifically insomnia is a pre.

As an Equal Opportunity Employer, we strongly encourage those who are underrepresented in neuroscience to consider our employment opportunities.

Environment
The Netherlands Institute for Neuroscience (www.nin.nl <http://www.nin.nl/>) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists in the neuroscience techniques, together with a dynamic multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally-oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering, but with an emphasis on biology and psychology. 

Appointment
We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position if for two years with a possibility for extension. 
The salary is in accordance with the regulations for academic personnel. For a postdoc it will range from €32.508,- up to a maximum of €59.647 per year and for a PhD student from €32.447,- up to a maximum of €41.477,- per year. This annual salary is before tax, (including holiday and end of year allowance) based on a full-time appointment, and depending on expertise and previous experience. Gross monthly salaries are in accordance with the Collective Labour Agreement (CAO) for Dutch Universities. 
Additionally, the housing department of the Netherlands Institute for Neuroscience assists foreign employees and students in finding accommodation. 

Starting date
As soon as possible

Application and time schedule
Applications should be submitted via email to e.van.someren at nin.knaw.nl <mailto:e.van.someren at nin.knaw.nl>:
•	a cover letter and a statement summarizing your research interests and motivation (max 1 page);
•	a curriculum vitae including a complete list of publications and a list of your five best papers;
•	your previous research accomplishments and your future research goals (max 2 pages);
•	the name and email addresses of up to three referees
The deadline for applications is 30 December 2019, but earlier application would be highly appreciated. Pre-selection of candidates will be completed 31 December 2019 by a gender-balanced panel. Applicants will be emailed about pre-selection outcomes by 6 January 2020. Pre-selected candidates will be invited for an interview.

For further information on the group and our institute please visit our website: https://nin.nl/ <https://nin.nl/>research/researchgroups/van-someren-group/ or contact Prof. dr. Eus Van Someren e.van.someren at nin.knaw.nl <mailto:e.van.someren at nin.knaw.nl>, group leader.

Any acquisition further to this advertisement will not be appreciated
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From andrea.brovelli at univ-amu.fr  Mon Dec  9 21:36:57 2019
From: andrea.brovelli at univ-amu.fr (Andrea Brovelli)
Date: Mon, 9 Dec 2019 21:36:57 +0100
Subject: [FieldTrip] PhD Opening on large-scale dynamics of functional
 networks and information routing (@Aix-Marseille University)
Message-ID: <de37612a-83e6-5327-c6d3-534beca6c74c@univ-amu.fr>

We are recruiting one PhD fellow at the Institute for Systems 
Neuroscience at Aix-Marseille University. The student will work within 
Dr. Demian Battaglia’s group (theoretical neuroscientist), in strict 
interaction with other researchers at Aix-Marseille University (Andrea 
Brovelli, systems and cognitive neuroscientist; Alain Barrat, complex 
networks physicist), as well as Strasbourg University.

The project will delve with the analysis of multi-frequency dynamic 
brain networks in large-scale electrophysiological recordings.

Brain regions interact between them in a highly dynamic manner even to 
perform very simple tasks, preventing too simplistic attempts of 
description. Flexibly changing patterns of information exchange and 
integration can be tracked using novel information theoretical and 
time-series analyses tools and generating directed multi-layer temporal 
networks representations of the data. In the framework of this project, 
a variety of different large-scale electrophysiological datasets (from 
rodents to non-human primates and humans) will be characterized based on 
complex network analyses tools that, initially forged in statistical 
physics, have not yet been adapted to be compliant with neural datasets, 
although they provide a natural language to describe the complex “life” 
of cell assemblies and transiently integrated coalitions of brain 
regions. The PhD fellow will characterize how spatio-spectro-temporal 
network patterns correlate or predict behavior and cognitive performance 
(e.g. in working memory or spatial navigation tasks) and, potentially, 
how these patterns are altered in specific animal pathology models (AD, 
ALS…).

Network analyses of empirical data may be complemented by the design of 
connectome-based computational models of multi-scale oscillations, to 
reverse engineer physiological mechanisms (e.g. alterations of 
excitability) that may underpin generalized functional connectivity 
changes, in control or pathological conditions.

This project is one of the “ESR” (Early Stage Researcher) positions 
opening within the Marie Skłodowska-Curie Innovative Training Network 
(ITN) project “i-Conn” funded by the European Commission, under their 
H2020 program. Such prestige program offers ideal conditions to the 
successful candidate such as: a salary well superior to the national 
average of ~1.9k euros monthly (plus family allowance when applies), net 
after taxes, with full social security coverage; and generous grant 
money for training and traveling to conferences. Through the ITN project 
activities, the PhD fellow will have the opportunity to come in contact 
with leading research groups in the UK, Germany, Czech Republic, Austria 
and Cyprus adopting network science techniques in a wide variety of 
disciplines, including neuroscience, but also socio-economics, 
geography, astronomy, etc.

At Aix-Marseille University, the PhD fellow will integrate the 
second-largest neuroscience community in France in a dynamic university 
with an emphasis on interdisciplinary approaches. The PhD fellow will 
profit of the high-level training opportunities provided by the local 
“NeuroSchool” (https://neuro-marseille.org/en), an excellence PhD 
program in clinical and integrative neuroscience, as well as by 
convergence institutes as the Turing Center for Living Systems 
(http://centuri-livingsystems.org). In addition, Marseille is a vibrant 
multi-cultural city located in the beautiful natural and cultural 
context of Southern France, at a few hours only by direct high-speed 
train from European cities as Paris, Barcelona, Brussels or Frankfurt.

We seek for candidates with computational neuroscience, physics or 
computer science/machine learning background (ideally but not 
necessarily). The most important prerequisite is the willingness and 
skill to explore large-scale datasets with advanced information theory 
and network science tools. Previous experience in programming, 
computational modeling or network analyses is a plus. The working and 
training language is English.


IMPORTANT! some strict requirements apply to be eligible as an Early 
Stage Researcher funded by the Marie Skłodowska-Curie program:

  1) The applicant should have — at the date of recruitment — less than 
4 years of a research career, and not have a doctoral degree. The 4 
years are measured from the date when they obtained the degree which 
would formally entitle them to embark on a PhD, either in the country 
where the degree was obtained or in the country where the PhD is provided.

  2) *Trans-national mobility*: The applicant — at the date of 
recruitment— should not have resided in France, where the research 
training takes place, for more than 12 months in the 3 years immediately 
prior to recruitment, and not have carried out their main activity (work 
,studies, etc.) in France.

To register your interest in applying for this position please, and to 
ask for any further information, please contact 
demian.battaglia at univ-amu.fr. To apply for this position, we require a 
copy of your CV, degree transcripts, motivation letter and the names 
and/or recommendation letters of 2 referees. Please include your master 
thesis as well and any publication you authored (included manuscripts at 
preprint or sufficiently advanced draft stages).

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From Johannes.Sarnthein at usz.ch  Tue Dec 10 09:20:35 2019
From: Johannes.Sarnthein at usz.ch (Sarnthein Johannes)
Date: Tue, 10 Dec 2019 08:20:35 +0000
Subject: [FieldTrip] open Postdoc position in Zurich
In-Reply-To: <2b41e85b09454f88b39343ca40097b19@usz.ch>
References: <c3bf6385e3434d2c858e736b6c94af38@usz.ch>,
 <f833f25fb7c1466e80b0b2a9a39aac33@usz.ch>,
 <2b41e85b09454f88b39343ca40097b19@usz.ch>
Message-ID: <c1172091cbda4646abcb4d3cb34beb51@usz.ch>

The Neurosurgery Department at USZ is collaborating with the Department of Neuropediatrics at University Children’s Hospital Zurich to investigate biomarkers to monitor therapy in children with epilepsy. We are currently looking for a



Postdoc in clinical neuroscience

We aim to develop biomarkers that can quickly and reliably monitor the effects of therapy in scalp EEG recordings of children with epilepsy. In particular, High-Frequency Oscillations (HFO) have been recently proposed to monitor epilepsy therapy.

You will be responsible for the computational and theoretical aspects of the project, which aims to develop the optimal algorithms for identifying these biomarkers. While a large body of data is already available, you will also participate in data acquisition from scalp EEG in children with epilepsy. You will spend time both at the Department of Neuropediatrics, University Children’s Hospital, and at the Department of Neurosurgery, University Hospital Zurich.

We offer advanced, interdisciplinary Postdoc training and participation in cutting-edge clinical neuroscience research projects. The highly competitive salary follows Swiss National Science Foundation guidelines. The successful candidate will benefit from the ZNZ postdoctoral program.

You have a PhD degree in Neuroscience, Psychology, Physics or related fields; knowledge in programming, time series analysis and machine learning; good written and spoken English; strong team-working abilities and excellent communication skills. Basic knowledge in neuroscience is required. For communicating with patients and technicians during EEG recordings, some German would be beneficial.

We look forward to receiving your email application including a letter of motivation, CV, diplomas, and contact details of 2 referees. We accept applications submitted through our online application portal www.jobs.uzh.ch<http://www.jobs.uzh.ch>

For further information please visit our websites www.neurochirurgie.usz.ch<http://www.neurochirurgie.usz.ch> and www.kispi.uzh.ch<http://www.kispi.uzh.ch>. Questions regarding the position can be directed to Johannes.Sarnthein at usz.ch<mailto:Johannes.Sarnthein at usz.ch> or Georgia.Ramantani at kispi.uzh.ch<mailto:Georgia.Ramantani at kispi.uzh.ch>


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From huangyujing at westlake.edu.cn  Wed Dec 11 09:24:49 2019
From: huangyujing at westlake.edu.cn (=?gb2312?B?WXVqaW5nIEhVQU5HILvG0/G+pw==?=)
Date: Wed, 11 Dec 2019 08:24:49 +0000
Subject: [FieldTrip] inquiry about spike and local field potential data
Message-ID: <HK2PR01MB31530D3D51E8FDF9CE007CA3E65A0@HK2PR01MB3153.apcprd01.prod.exchangelabs.com>

Dear Sir or Madam,

I am running the script to do the spike-LFP analysis according to the tutorial on Fieldtrip. The sample dataset was used in line with the tutorial. But I encountered the following problems:

  1.  spikeTrials structure is not the same as the tutorial. The timestamp for the spikeTrials structure is [1x 83616] [1x61526] rather than [1x83601] [1x61513]
  2.  when I try to run ft_spiketriggeredaverage, the cfg_latency for post stimulus or pre stimulus didn't show any differences for the STA.
Attached is the tutorial I used and the problems I have.
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From agnese.zazio at hotmail.it  Wed Dec 11 11:43:00 2019
From: agnese.zazio at hotmail.it (Agnese Zazio)
Date: Wed, 11 Dec 2019 10:43:00 +0000
Subject: [FieldTrip] Granger causality in time-frequency domain for
 source-projected MEG data
Message-ID: <AM0PR04MB488204D5D2F70B57F9AB8829E15A0@AM0PR04MB4882.eurprd04.prod.outlook.com>

Dear Fieldtrip community,

I have a question about connectivity analysis, specifically on granger causality. I am working on MEG data at source level (LCMV method), and I am interested in studying connectivity between 2 pre-defined ROIs in 2 experimental conditions. Specifically, I would like to calculate both coherence and granger causality, keeping information on both frequency and time dimensions.
So, I run time-frequency analysis with sliding time windows of frequency-dependent length, and used this ouput for ft_connectivityanalysis (please see the code pasted below). I obtained time-frequency coherence values, and I would like to do the same for granger causality (i.e., keeping time dimension), because the effect I am interested in is narrowed in time (and so running a mtmfft may not be optimal).
I am wondering, is it possible to run granger causality in the time-frequency domain? Otherwise, how can I restrict the analysis on a time-window of interest?

Any help would be really appreciated!
Thanks in advance.

Best,
Agnese

--
%time-freq analysis
cfg=[];
cfg.output='fourier';
cfg.channel=[area1 area2];
cfg.method='mtmconvol';
cfg.taper='dpss';
cfg.keeptrials='yes';
cfg.toi          = -1:0.01:1;
cfg.foi = [1:128];
cfg.tapsmofrq=0.4*cfg.foi;
cfg.t_ftimwin    = 5./cfg.foi;
tfr_A =ft_freqanalysis(cfg, data_A);
tfr_B =ft_freqanalysis(cfg, data_B);

%coherence
cfg=[];
cfg.method = 'coh';
coh_A = ft_connectivityanalysis(cfg, tfr_A);
coh_B = ft_connectivityanalysis(cfg, tfr_B);

%granger
cfg=[];
cfg.method='granger';
cfg.granger.sfmethod='bivariate';
grang_A = ft_connectivityanalysis(cfg, ?);
grang_B = ft_connectivityanalysis(cfg, ?);

--
Agnese Zazio, PhD
Cognitive Neuroscience Section,
IRCCS Centro San Giovanni di Dio Fatebenefratelli
Via Pilastroni 4, 25125 Brescia, Italy
Phone number: (+39) 0303501-596
Site: http://www.cognitiveneuroscience.it<http://www.cognitiveneuroscience.it/>
E-mail: agnese.zazio at cognitiveneuroscience.it<mailto:agnese.zazio at cognitiveneuroscience.it>


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From M.Wimber at bham.ac.uk  Wed Dec 11 15:53:43 2019
From: M.Wimber at bham.ac.uk (Maria Wimber)
Date: Wed, 11 Dec 2019 14:53:43 +0000
Subject: [FieldTrip] SUsHi 2020
Message-ID: <eb3d1d93bf724bb1b1a4884ff6eb25fb@bham.ac.uk>


[cid:image002.jpg at 01D5B032.C8261510]
Dear colleagues,

We are very happy to announce registration and abstract submissions are open for SUsHi 2020<https://memorybham.squarespace.com/sushi2020>!

The Single Units and Human iEEG Meeting (SUsHi), taking place in Birmingham, UK, from 1st - 3rd April 2020, will bring together Cognitive Neuroscientists working with human single unit and/or LFP recordings.

The three day event will comprise of a small workshop followed by a two-day traditional conference, hosted at the University of Birmingham. SUsHi will bring together researchers who work with these rich and complex datasets, with the aim to discuss the appropriate methods for data analysis, hands-on training for researchers who are new to these methods, and a discussion of the latest scientific progress in the field. This three day event includes a spike sorting workshop for early career researchers (sold out), panel discussions, poster sessions and the chance to take part in a Method Challenge prior to the conference. We have exciting Keynote Presentations from Prof. Florian Mormann<http://epileptologie-bonn.de/cms/front_content.php?idcat=324>, Dr Leila Reddy<http://cerco.ups-tlse.fr/~lreddy/Leila_Reddy/>, Dr Ueli Rutishauser<http://www.urut.ch/new/serendipity/> and Prof. Rodrigo Quian Quiroga<https://www2.le.ac.uk/centres/csn/people-1/Rodrigo>.

You can register here<https://shop.bham.ac.uk/conferences-and-events/college-of-medical-dental-sciences/medical-dental-sciences-conferences-events/single-units-and-human-ieeg-sushi-2020-conference>, submit abstracts here<https://memorybham.squarespace.com/abstract-submission> and find out more about our Method Challenge here<https://memorybham.squarespace.com/method-challenge>.

Important deadlines:
15th January - Abstract and Method Challenge Submission
31st January - Method Challenge Submission
16th March - Registration

Kind regards,
Simon Hanslmayr, Bernhard Staresina and Maria Wimber

SUsHi Organisers
SUsHi at contacts.bham.ac.uk<mailto:SUsHi at contacts.bham.ac.uk>

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From bahman at neuromotor.org  Mon Dec 16 15:40:32 2019
From: bahman at neuromotor.org (Bahman Nasseroleslami)
Date: Mon, 16 Dec 2019 14:40:32 +0000
Subject: [FieldTrip] PhD Studentship in Neurophysiology and Neural
 Engineering - Neurology, Trinity College Dublin, the University of Dublin,
 Dublin, Ireland
Message-ID: <hTsp6jyCpY8tcGGp_DbNLStMjnQEDz3OzcMe6qOn8yu6m11G5Gisc_-0AX7FrJjOmPo7kR-7YQfoif-epYbRLqqEB6rTRAkkMu0okzU9E20=@neuromotor.org>

Dear all,

There is a 4-year PhD Studentship available in Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin, Ireland.

-------------------------------------------------------
Post Specification (Job ID : 034261)

Post Title: PhD Studentship (Neurophysiology and Neural Engineering)
Post Status: 4-year Structured Full-Time PhD
Research Group / Department / School: Neurophysiology and Neural Signal Analysis in Motor Neuron Disease (NeuroMotor), Academic Unit of Neurology, School of Medicine
Location: Trinity College Dublin, the University of Dublin College Green, Dublin, Ireland
Reports to: Dr Bahman Nasseroleslami
Terms & Conditions: The position is funded by the Provost's PhD Project Award (Graduate Studies in Trinity), which fully covers the tuition fee (including both EU and non-EU/International fees) and provides an annual tax-free stipend of 16,000-21,000.
Closing Date: 5:00 PM (Irish Standard Mean Time), Monday, 2nd March 2020
Contact Person : Mr Mark Heverin (Research Manager)
Contact Email : mark.heverin at tcd.ie
Close Date : 02-Mar-2020 17:00
NOTE: Garda vetting will be sought in respect of individuals who come under consideration for a post.

Post Summary:
Applications are invited for a motivated and self-driven PhD student with the NeuroMotor Group (Neurophysiology and Neural Signal Analysis Research Strand in the Motor Neuron Research Group), hosted in the Trinity Biomedical Sciences Institute (TBSI)'s Academic Unit of Neurology. The research project for this position seeks to develop a novel methodology and an innovative technology for non-invasive assessment of the spinal cord for neurological diagnosis. It uses a combination of experimental neurophysiological procedures as well as modelling and analysis of neuroelectric signals such as electroencephalographic (EEG), electromyography (EMG), and similar methods. The ideal candidate will have a solid technical/engineering background, i.e. an undergraduate or master's degree in biomedical engineering or a cognate area, with a strong knowledge of (biomedical/neural) signal processing and computer programming (MATLAB). Familiarity with and/or the ability to quickly acquire skills in experimental motor neuroscience and neuro-electro-physiological recordings, would be necessary. The studentship is expected to start in 2020 (preferably from 1 September).
-------------------------------------------------------

The detailed job description file (PDF) and the application instructions can be found online at http://jobs.tcd.ie.
or directly from https://drive.google.com/file/d/1olExD-TPSjJNVjLf7uxnRZ6aUpytElpi 
Informal enquiries can be sent to Bahman Nasseroleslami at nasserob at tcd.ie

To apply, please follow the instructions in "Application Procedure" in the PDF file of the full advert (i.e. submit the application by email to Mr Mark Heverin).

It would be really appreciated if you could share this with those that may be interested.

Sincerely
Bahman
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From daniel.strahnen at uni-ulm.de  Tue Dec 17 11:57:24 2019
From: daniel.strahnen at uni-ulm.de (daniel.strahnen at uni-ulm.de)
Date: Tue, 17 Dec 2019 11:57:24 +0100
Subject: [FieldTrip] wPLI values higher than normal coherence
Message-ID: <001d01d5b4c8$c6f98d80$54eca880$@uni-ulm.de>

Dear FieldTrip - Community,

 

I am using the wPLI routine from the FieldTrip toolbox to detect true
connectivity.

However, I found that the wPLI values that I obtain are even higher than the
coherence values and the maximum often goes up to 1.

Based on the theory behind the two measures I would rather expect the
opposite.

Has anybody stumbled upon the same phenomenon?



 

Here is the code I used, Output_data contains 7 channels (samples x
channels) and it is a continuous recording over 10 minutes which is
truncated into 4 second trials:

 

    data.label = {'Ref'; 'PFCd'; 'PFCu'; 'dHC'; 'vHCu'; 'vHCd'; 'MD'};

    data.fsample = 1000; 

    j = 1;

    for k = 1:20    

        data.time{k} = j:(k*30000);

        data.trial{k} = Output_data((j:(k*30000)),:)';

        j = k*30000 + 1;

    end

 

    cfg.length    =  4;              

    cfg.overlap   =  0.5;             

    [data] = ft_redefinetrial(cfg, data);

 

    %% Freqanalysis to obtain the cross spectral density

    cfg_freq = [];

    cfg_freq.method = 'mtmfft';

    cfg_freq.output = 'fourier';

    cfg_freq.keeptrials = 'yes'; 

    cfg_freq.taper = 'dpss';

    cfg_freq.tapsmofrq = 2;

    cfg_freq.foilim = [0 48];

    cfg_freq.pad = 'nextpow2';

    freq_data = ft_freqanalysis(cfg_freq, data);

    

    %% coh analysis

    cfg_conn = [];

    cfg_conn.method = 'coh';

    coh_str = ft_connectivityanalysis(cfg_conn, freq_data); 

    coh_str = ft_checkdata(coh_str, 'cmbrepresentation',
'full','datatype','freq'); 

    

    %% wPLI analysis

    cfg_conn = [];

    cfg_conn.method = 'wpli_debiased';

    wpli_str = ft_connectivityanalysis(cfg_conn, freq_data); 

    wpli_str = ft_checkdata(wpli_str, 'cmbrepresentation',
'full','datatype','freq');

 

 

Thank you very much and best regards

 

Daniel

 

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From max-philipp.stenner at med.ovgu.de  Tue Dec 17 14:53:06 2019
From: max-philipp.stenner at med.ovgu.de (Stenner, Max-Philipp)
Date: Tue, 17 Dec 2019 13:53:06 +0000
Subject: [FieldTrip] Deadline approaching: PhD position in Freigeist
 Research Group (University of Magdeburg)
In-Reply-To: <5929d6c1cb2d426180d583a73db079a9@med.ovgu.de>
References: <32078_1544429470_5C0E1F9D_32078_1978_1_FBEFFA1F493D8944969D2F5AE78E5883D6FFC367@esen3.imed.uni-magdeburg.de>,
 <FBEFFA1F493D8944969D2F5AE78E5883D700A0B1@ESEN4.imed.uni-magdeburg.de>,
 <5929d6c1cb2d426180d583a73db079a9@med.ovgu.de>
Message-ID: <354116381ecb4813941756045964320a@med.ovgu.de>

Dear all
an exciting opportunity has become available for a fully funded PhD position (for 3 years) in the newly funded Freigeist Research Group "Motor Learning" at the Leibniz Institute for Neurobiology & Department of Neurology at the University of Magdeburg, Germany. Please find attached a detailed job description and instructions how to apply (deadline December 23rd 2019).
Looking forward to welcoming you to Magdeburg,
Max-Philipp Stenner
https://www.lin-magdeburg.de/forschung/forschungseinheiten/ag-motorisches-lernen
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From Alexandre.Franco at NKI.rfmh.org  Tue Dec 17 19:52:49 2019
From: Alexandre.Franco at NKI.rfmh.org (Franco, Alexandre (NKI))
Date: Tue, 17 Dec 2019 18:52:49 +0000
Subject: [FieldTrip] =?utf-8?q?Neuroimaging_Data_Analyst_=E2=80=93_Nathan?=
 =?utf-8?q?_Kline_Institute_=28NKI=29?=
Message-ID: <370B46B4-1F4B-4D9C-AECE-70B1A4F90599@contoso.com>

Applications are currently being invited for a Neuroimaging Data Analyst position in the Computational Neuroimaging Laboratories (CNL) within the Center for the Biomedical Imaging and Neuromodulation (C-BIN) at the Nathan Kline Institute (NKI), under the direction of Alexandre R. Franco, PhD. A primary responsibility of this position will be to establish, maintain and continually improve data acquisition, data storage, transfer, and security, and perform quality control processes for a multisite and multimodal Neuroimaging Study (Electrocorticography [ECoG] and MRI data).



The Neuroimaging Data Analyst will be responsible for curating the neuroimaging data from multiple sites within a CONTE Center for Basic Neuroscience Research. Tasks include; managing and maintaining a neuroinformatics platform, performing quality control of the data, and supporting researchers of the CONTE Center. The position also includes travel to the project sites to set up site data transfer and train the local staff to upload imaging data to the centralized neuroinformatics platform. He/she will be directly reporting to Dr. Franco, but also working closely with researchers of the other projects within the CONTE center and C-BIN.



Successful candidates must have sufficient computational technical skills (e.g., SQL, Python, R, Matlab, bash scripts) to independently develop and maintain a database, modify processing pipelines, and apply novel data analysis strategies. As experience grows, the analyst will be expected to provide supervision for junior researchers in their data curation efforts.
Anticipated start date: as soon as possible

To obtain more information and for applying for the position, go to the following link:
https://nki.applicantpro.com/jobs/1280496.html


Alexandre R. Franco, PhD

Director, Computational Neuroimaging Laboratories (CNL)
Center for Biomedical Imaging and Neuromodulation (C-BIN)
Nathan S. Kline Institute for Psychiatric Research
https://www.nki.rfmh.org/
845-398-5822
alexandre.franco at nki.rfmh.org

and

Child Mind Institute
Research Scientist, CDB
alexandre.franco at childmind.org
childmind.org<http://www.childmind.org/>  |  Location<https://childmind.org/about-us/contact-us/>
Facebook<https://www.facebook.com/ChildMindInstitute>  |  Twitter<https://twitter.com/ChildMindDotOrg>  |  Instagram<https://www.instagram.com/childmindinstitute/>

This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message.



________________________________

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From charlotte.ohmer at charite.de  Wed Dec 18 16:36:23 2019
From: charlotte.ohmer at charite.de (Ohmer, Charlotte Chiara)
Date: Wed, 18 Dec 2019 15:36:23 +0000
Subject: [FieldTrip] General Question about using Fieldtrip with already
 scored data
Message-ID: <E77381AB0094754C86E95DE99A408BC8754B86@s-mx14-mb0105.charite.de>

Dear community,



My name is Charlotte Ohmer and I am working in the teaching hospital Charité in Berlin in the field of Sleepmedicine. Currently I am analyzing data of clinical trials which investigate the impact that high-frequency radiation has on your sleep and on some cognitive tasks.

We already have human scored sleep-data here but thought about using Fieldtrip to make the statistical analysis of them.

We couldn't find an answer to the general question if it is possible to use the statistics-functions of Fieldtrip with our own pre-scored edf data, or if we really have to go through the whole analysis pipeline to get the right input for the statistics functions.

Or maybe there's a way to modify our own data so it mimics the previous output of the Fieldtrip-function which is needed.

It would be great if someone could help us, because our main goal is to get to know Fieldtrip better and hopefully use it also in future projects.

Any help would be appreciated.



Best,

Charlotte Ohmer


---------------------------------------------------------------------
Charlotte Ohmer
Charité - Universitätsmedizin Berlin
CC15 - Campus Benjamin Franklin
Kompetenzzentrum-Schlafmedizin (Leitung: Prof. Heidi Danker-Hopfe)
Hindenburgdamm 30
12200 Berlin

E-Mail: charlotte.ohmer at charite.de<mailto:charlotte.ohmer at charite.de>



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From paolo.belardinelli at gmail.com  Wed Dec 18 17:42:01 2019
From: paolo.belardinelli at gmail.com (Paolo Belardinelli)
Date: Wed, 18 Dec 2019 17:42:01 +0100
Subject: [FieldTrip] MNI coordinates of the individual 15684p mesh
Message-ID: <CAMa54+NuQxnpeBGAx2_JzPXf_XfXPRHk8sOmge5k3gdS3it0jg@mail.gmail.com>

Dear FieldTrippers,

I am using Jan Mathijs's procedure for the mesh sourcemodel and I would
like to get MNI coordinates of each single subject. As far as I understand,
only the sphere files contained in the folder workbench/fsaverage are in
MNI coordinates. However, these are generated only for the 164K p meshes by
the ft_postfreesurfer script of Jan Mathijs. Should one modify this to get
the Sphere files in MNI coordinates for the 8K files of the two hemispheres
involved in the 16K procedure?

Thanks and best wishes,

Paolo

-- 
--
Paolo Belardinelli, PhD
Neurology Department
University Hospital Tuebingen
Eberhard Karls University Tuebingen
Hoppe-Seyler Str. 3
D-72076 Tuebingen
Tel: +49 7071 / 29 80478
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From e.spaak at donders.ru.nl  Thu Dec 19 09:00:23 2019
From: e.spaak at donders.ru.nl (Eelke Spaak)
Date: Thu, 19 Dec 2019 09:00:23 +0100
Subject: [FieldTrip] General Question about using Fieldtrip with already
 scored data
In-Reply-To: <E77381AB0094754C86E95DE99A408BC8754B86@s-mx14-mb0105.charite.de>
References: <E77381AB0094754C86E95DE99A408BC8754B86@s-mx14-mb0105.charite.de>
Message-ID: <CABPNLUrB6REx6zXt=_E40bKU99kNdxjvXGbfbGdogORgTuJBDQ@mail.gmail.com>

Dear Charlotte,

I don't know exactly how your data is structured at the moment, but in
general: yes, it's fairly straightforward to "manually" create a data
structure that FieldTrip will understand. See here for details:
http://www.fieldtriptoolbox.org/faq/how_are_the_various_data_structures_defined/

Hope that helps,
best,
Eelke

On Wed, 18 Dec 2019 at 16:36, Ohmer, Charlotte Chiara
<charlotte.ohmer at charite.de> wrote:
>
> Dear community,
>
>
>
> My name is Charlotte Ohmer and I am working in the teaching hospital Charité in Berlin in the field of Sleepmedicine. Currently I am analyzing data of clinical trials which investigate the impact that high-frequency radiation has on your sleep and on some cognitive tasks.
>
> We already have human scored sleep-data here but thought about using Fieldtrip to make the statistical analysis of them.
>
> We couldn’t find an answer to the general question if it is possible to use the statistics-functions of Fieldtrip with our own pre-scored edf data, or if we really have to go through the whole analysis pipeline to get the right input for the statistics functions.
>
> Or maybe there’s a way to modify our own data so it mimics the previous output of the Fieldtrip-function which is needed.
>
> It would be great if someone could help us, because our main goal is to get to know Fieldtrip better and hopefully use it also in future projects.
>
> Any help would be appreciated.
>
>
>
> Best,
>
> Charlotte Ohmer
>
>
>
> ---------------------------------------------------------------------
> Charlotte Ohmer
> Charité - Universitätsmedizin Berlin
> CC15 - Campus Benjamin Franklin
> Kompetenzzentrum-Schlafmedizin (Leitung: Prof. Heidi Danker-Hopfe)
> Hindenburgdamm 30
> 12200 Berlin
>
> E-Mail: charlotte.ohmer at charite.de
>
>
>
>
>
> _______________________________________________
> fieldtrip mailing list
> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
> https://doi.org/10.1371/journal.pcbi.1002202



From jan.schoffelen at donders.ru.nl  Thu Dec 19 10:17:15 2019
From: jan.schoffelen at donders.ru.nl (Schoffelen, J.M. (Jan Mathijs))
Date: Thu, 19 Dec 2019 09:17:15 +0000
Subject: [FieldTrip] MNI coordinates of the individual 15684p mesh
In-Reply-To: <CAMa54+NuQxnpeBGAx2_JzPXf_XfXPRHk8sOmge5k3gdS3it0jg@mail.gmail.com>
References: <CAMa54+NuQxnpeBGAx2_JzPXf_XfXPRHk8sOmge5k3gdS3it0jg@mail.gmail.com>
Message-ID: <07E0987D-D662-4031-9BEE-B635F02122B7@donders.ru.nl>

Dear Paolo,

Just as a quick correction: spherical topologies can never be in MNI coordinates, since a sphere is a deformed surface. I don’t know for sure why the spheres have ‘MNI” in their names, this has probably been decided by the wisdom of the people who implemented the original pipeline procedure and code, which I adjusted to create the postfreesurferscript.

I don’t know what the exact motivation would be for you to get the MNI coordinates, but if you want to do this in a rigorous and correct way, you probably want to check out the original post freesurfer processing script that is used in the structural processing pipeline of the HCP. I used a(n older) version of the code that can be found here: https://github.com/Washington-University/HCPpipelines/blob/master/PostFreeSurfer/scripts/FreeSurfer2CaretConvertAndRegisterNonlinear.sh

Alternatively, if you are looking for an approximation, you could estimate the normalisation parameters from a call to ft_volumenormalise, with the subject’s anatomical MRI in the input (ensuring it to be in the same coordinate space as your meshes, and both probably in ‘mm’ (ft_convert_units) ), and use ft_warp_apply on the mesh.pos to get the ‘MNI coordinates’.

Best wishes,
Jan-Mathijs

On 18 Dec 2019, at 17:42, Paolo Belardinelli <paolo.belardinelli at gmail.com<mailto:paolo.belardinelli at gmail.com>> wrote:

Dear FieldTrippers,

I am using Jan Mathijs's procedure for the mesh sourcemodel and I would like to get MNI coordinates of each single subject. As far as I understand, only the sphere files contained in the folder workbench/fsaverage are in MNI coordinates. However, these are generated only for the 164K p meshes by the ft_postfreesurfer script of Jan Mathijs. Should one modify this to get the Sphere files in MNI coordinates for the 8K files of the two hemispheres involved in the 16K procedure?

Thanks and best wishes,

Paolo

--
--
Paolo Belardinelli, PhD
Neurology Department
University Hospital Tuebingen
Eberhard Karls University Tuebingen
Hoppe-Seyler Str. 3
D-72076 Tuebingen
Tel: +49 7071 / 29 80478

_______________________________________________
fieldtrip mailing list
https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
https://doi.org/10.1371/journal.pcbi.1002202

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From politzerahless at gmail.com  Thu Dec 19 12:40:27 2019
From: politzerahless at gmail.com (Stephen Politzer-Ahles)
Date: Thu, 19 Dec 2019 19:40:27 +0800
Subject: [FieldTrip] General Question about using Fieldtrip with already
 scored data
In-Reply-To: <mailman.11.1576753202.22988.fieldtrip@science.ru.nl>
References: <mailman.11.1576753202.22988.fieldtrip@science.ru.nl>
Message-ID: <CAJT2k_9yzvoqLh6C4Kq993dFsCoMDKLm6r5D28KBDsxKnjjOfg@mail.gmail.com>

Hi Charlotte,

It's definitely possible to take data that have been preprocessed in other
software and import them into FieldTrip, or to put the data into a
FieldTrip structure. It's hard to give much more details without knowing
more about your situation (e.g., what kind of data you have, what has been
done with it, and what you're trying to accomplish).

---
Stephen Politzer-Ahles
The Hong Kong Polytechnic University
Department of Chinese and Bilingual Studies
http://www.polyu.edu.hk/cbs/sjpolit/




> Message: 1
> Date: Wed, 18 Dec 2019 15:36:23 +0000
> From: "Ohmer, Charlotte Chiara" <charlotte.ohmer at charite.de>
> To: "'fieldtrip at science.ru.nl'" <fieldtrip at science.ru.nl>
> Subject: [FieldTrip] General Question about using Fieldtrip with
>         already scored data
> Message-ID:
>         <E77381AB0094754C86E95DE99A408BC8754B86 at s-mx14-mb0105.charite.de>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Dear community,
>
>
>
> My name is Charlotte Ohmer and I am working in the teaching hospital
> Charité in Berlin in the field of Sleepmedicine. Currently I am analyzing
> data of clinical trials which investigate the impact that high-frequency
> radiation has on your sleep and on some cognitive tasks.
>
> We already have human scored sleep-data here but thought about using
> Fieldtrip to make the statistical analysis of them.
>
> We couldn't find an answer to the general question if it is possible to
> use the statistics-functions of Fieldtrip with our own pre-scored edf data,
> or if we really have to go through the whole analysis pipeline to get the
> right input for the statistics functions.
>
> Or maybe there's a way to modify our own data so it mimics the previous
> output of the Fieldtrip-function which is needed.
>
> It would be great if someone could help us, because our main goal is to
> get to know Fieldtrip better and hopefully use it also in future projects.
>
> Any help would be appreciated.
>
>
>
> Best,
>
> Charlotte Ohmer
>
>
> ---------------------------------------------------------------------
> Charlotte Ohmer
> Charité - Universitätsmedizin Berlin
> CC15 - Campus Benjamin Franklin
> Kompetenzzentrum-Schlafmedizin (Leitung: Prof. Heidi Danker-Hopfe)
> Hindenburgdamm 30
> 12200 Berlin
>
> E-Mail: charlotte.ohmer at charite.de<mailto:charlotte.ohmer at charite.de>
>
>
>
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From marieke.scholvinck at esi-frankfurt.de  Thu Dec 19 14:33:29 2019
From: marieke.scholvinck at esi-frankfurt.de (Scholvinck, Marieke)
Date: Thu, 19 Dec 2019 13:33:29 +0000
Subject: [FieldTrip] PhD position in mouse/monkey electrophysiology at Ernst
 Strungmann Institute (Frankfurt, Germany)
Message-ID: <81df29e22af4482fba5501d8ea10818d@esi-frankfurt.de>

We are hiring! We are looking for an enthusiastic Ph.D. candidate to join our team in the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany.



The position
The Zero-Noise Lab investigates how neuronal activity unfolds during natural behaviour rather than in the restricted conditions of most laboratory experiments, and how this compares between mouse and monkey. To this end, we implant electrodes to record neuronal activity in multiple visual brain areas as our animals move through a realistic virtual reality environment in search of virtual rewards. More information about the lab can be found at https://www.esi-frankfurt.de/research/havenith-scholvinck-lab/.
­­­
The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith. Postdocs and Ph.D. students focus on either mice or monkeys, but intensely work together to ensure that we constantly learn from each other's experiments. This means that as a Ph.D. student you will work together closely with a postdoc to set up and run the experiments. Ideally, we would like you to start in spring 2020, but later would also work. We are most urgently looking for a Ph.D. student for the monkey experiments. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel.
­

You
If you (are about to) hold an M.Sc. or equivalent, and are excited to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that are not a must, but would be very valuable:
- programming skills (Matlab and/or Python)
- experience with training animals

- experience with electrophysiology



How to apply
If you're interested, please send an email to Marieke (marieke.scholvinck at esi-frankfurt.de<mailto:marieke.scholvinck at esi-frankfurt.de>) and Martha (marthanari.havenith at gmail.com<mailto:marthanarihavenith at gmail.com>) before February 15, 2020. In your email, please explain your background and why you want to join us in Frankfurt. The application remains open until the position is filled.



We look forward to hearing from you!



Martha and Marieke

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From cdragicevic at gmail.com  Thu Dec 19 22:47:52 2019
From: cdragicevic at gmail.com (Constantino Dragicevic)
Date: Thu, 19 Dec 2019 18:47:52 -0300
Subject: [FieldTrip] Import TFR's for stats analysis
Message-ID: <CAP_Vi9J5yTh_-oMHZO_xO3JJmhOUKi7VMZycxZZcPiXq6WdNiQ@mail.gmail.com>

Dear FieldTrip users,
                                 I am new with this toolbox, and before
reading in detail all the documentation, I would like to know if it is
possible to compare TFR's between two groups of subjects (healthy controls
and patients) that performed the same task. I would like to run a
statistical test such as the cluster-based permutation analysis, but no
examples for this specific case is given in the documentation.

I have already calculated TFR's with another software (ELAN), and need to
import those into FieldTrip, hopefully without re-calculating TFR's inside
FieldTrip. I have done a similar conversion before, from ELAN TFR's to
matlab, but it seems FieldTrip needs a specific internal format in order to
run the mentioned test .

Can you give me clues for importing TFR's to FieldTrip, and then compare
these TFR's corresponding to 2 different groups of subjects?

Meanwhile, I will read more basic documentation because anyway I will need
to use FieldTrip in the future for more basic applications such as
artifacts removal, ERPs, etc...

In addition, if you suggest a method belonging to eeglab, it would also be
helpfull.

Thanks!

Tino

Ph.D. in Biomedical Sciences.
Neurosystems Lab
Universidad de Chile
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From ecaspar at ulb.ac.be  Fri Dec 20 19:06:52 2019
From: ecaspar at ulb.ac.be (Emilie Caspar)
Date: Fri, 20 Dec 2019 19:06:52 +0100
Subject: [FieldTrip] Markers display with topoplots
Message-ID: <6B34687A-E9D9-4E95-ACAB-EE5BD6345664@ulb.ac.be>

Dear Community, 

I rerun a script that I run 2 years ago to capture my topoplots in a better rendering. Visually, the markers are not positioned similarly anymore (on the attached picture, you will see on the left the old version and on the right the new version). The layout has not changed, the script has not changed, the data are of course the same, so I am confused about what would be the cause of this modification. Has the function changed in the meantime?

Here is the script to ask the topoplot display :
cfg = [];
  cfg.baseline = [-3 0];
  cfg.baselinetype = 'absolute';
cfg.zlim = [-1 1];
cfg.xlim = [0 3];
cfg.layout      = 'biosemi64.lay';
cfg.gridscale = 600;
cfg.marker = 'on';
clf;
set(gca, 'color', 'none');
cfg.colormap = colormap('jet');
cfg.ylim = [8 12];
ft_topoplotTFR(cfg, GAall_TrainingRight);


Thank you very much for the help!

Emilie


---------------------------------------------
Emilie Caspar, Ph.D
 
CO3, Centre de Recherche Cognition et Neurosciences (CRCN), ULB 
Voice : +32 2 650 32 95 
mail : ecaspar at ulb.ac.be
office: DB10-138 

Social Brain Lab, Netherlands Institute for Neuroscience (NIN), KNAW
mail : e.caspar at nin.knaw.nl

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From anne.cheylus at isc.cnrs.fr  Sat Dec 21 12:27:38 2019
From: anne.cheylus at isc.cnrs.fr (Anne Cheylus)
Date: Sat, 21 Dec 2019 12:27:38 +0100
Subject: [FieldTrip] Markers display with topoplots
In-Reply-To: <6B34687A-E9D9-4E95-ACAB-EE5BD6345664@ulb.ac.be>
References: <6B34687A-E9D9-4E95-ACAB-EE5BD6345664@ulb.ac.be>
Message-ID: <e76c75b9-d22b-e78d-cc7c-4d91bff91b35@isc.cnrs.fr>

Dear Emilie,

the layout file biosemi64.lay has changed two years ago, see

https://github.com/fieldtrip/fieldtrip/commits/master/template/layout/biosemi64.lay

the new layout correctly displays Cz at the center of the topoplot.

Because of the old misleading layout, electrodes labelled as Cz, C3 and 
C4 were indeed CPz, CP3 and CP4, see

http://www.fieldtriptoolbox.org/assets/img/template/layout/biosemi64.lay.png

biosemi64.lay topoplot


All the best,

Anne

Le 20/12/2019 à 19:06, Emilie Caspar a écrit :
> Dear Community,
>
> I rerun a script that I run 2 years ago to capture my topoplots in a 
> better rendering. Visually, the markers are not positioned similarly 
> anymore (on the attached picture, you will see on the left the old 
> version and on the right the new version). The layout has not changed, 
> the script has not changed, the data are of course the same, so I am 
> confused about what would be the cause of this modification. Has the 
> function changed in the meantime?
>
> Here is the script to ask the topoplot display :
> cfg = [];
>   cfg.baseline = [-3 0];
>   cfg.baselinetype = 'absolute';
> cfg.zlim = [-1 1];
> cfg.xlim = [0 3];
> cfg.layout      = 'biosemi64.lay';
> cfg.gridscale = 600;
> cfg.marker = 'on';
> clf;
> set(gca, 'color', 'none');
> cfg.colormap = colormap('jet');
> cfg.ylim = [8 12];
> ft_topoplotTFR(cfg, GAall_TrainingRight);
>
>
> Thank you very much for the help!
>
> Emilie
>
> ---------------------------------------------
> Emilie Caspar, Ph.D
>
> CO3, Centre de Recherche Cognition et Neurosciences (CRCN), ULB
> Voice : +32 2 650 32 95
> mail : ecaspar at ulb.ac.be <mailto:ecaspar at ulb.ac.be>
> office: DB10-138
>
> Social Brain Lab, Netherlands Institute for Neuroscience (NIN), KNAW
> mail : e.caspar at nin.knaw.nl <mailto:e.caspar at nin.knaw.nl>
>
>
> _______________________________________________
> fieldtrip mailing list
> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
> https://doi.org/10.1371/journal.pcbi.1002202

-- 
Anne CHEYLUS
Ingénieur de Recherche / Research Engineer
UMR5304 CNRS/UCBL & UMR5292 CNRS/UCBL/INSERM/UJM
Institut des Sciences Cognitives Marc Jeannerod & CRNL
67 Bd Pinel
FR 69675 BRON
(+33) (-0) 437 911 267

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From ecaspar at ulb.ac.be  Sat Dec 21 14:08:25 2019
From: ecaspar at ulb.ac.be (Emilie Caspar)
Date: Sat, 21 Dec 2019 14:08:25 +0100
Subject: [FieldTrip] Markers display with topoplots
In-Reply-To: <e76c75b9-d22b-e78d-cc7c-4d91bff91b35@isc.cnrs.fr>
References: <6B34687A-E9D9-4E95-ACAB-EE5BD6345664@ulb.ac.be>
 <e76c75b9-d22b-e78d-cc7c-4d91bff91b35@isc.cnrs.fr>
Message-ID: <22AAD86C-B460-4A09-9B73-E08063497EA7@ulb.ac.be>

Thank you very much!

Emilie

---------------------------------------------
Emilie Caspar, Ph.D
 
CO3, Centre de Recherche Cognition et Neurosciences (CRCN), ULB 
Voice : +32 2 650 32 95 
mail : ecaspar at ulb.ac.be
office: DB10-138 

Social Brain Lab, Netherlands Institute for Neuroscience (NIN), KNAW
mail : e.caspar at nin.knaw.nl

> Le 21 déc. 2019 à 12:27, Anne Cheylus <anne.cheylus at isc.cnrs.fr> a écrit :
> 
> Dear Emilie,
> 
> the layout file biosemi64.lay has changed two years ago, see 
> https://github.com/fieldtrip/fieldtrip/commits/master/template/layout/biosemi64.lay <https://github.com/fieldtrip/fieldtrip/commits/master/template/layout/biosemi64.lay>
> the new layout correctly displays Cz at the center of the topoplot.
> 
> Because of the old misleading layout, electrodes labelled as Cz, C3 and C4 were indeed CPz, CP3 and CP4, see
> 
> http://www.fieldtriptoolbox.org/assets/img/template/layout/biosemi64.lay.png <http://www.fieldtriptoolbox.org/assets/img/template/layout/biosemi64.lay.png>
> 
> All the best,
> 
> Anne
> Le 20/12/2019 à 19:06, Emilie Caspar a écrit :
>> Dear Community, 
>> 
>> I rerun a script that I run 2 years ago to capture my topoplots in a better rendering. Visually, the markers are not positioned similarly anymore (on the attached picture, you will see on the left the old version and on the right the new version). The layout has not changed, the script has not changed, the data are of course the same, so I am confused about what would be the cause of this modification. Has the function changed in the meantime?
>> 
>> Here is the script to ask the topoplot display :
>> cfg = [];
>>   cfg.baseline = [-3 0];
>>   cfg.baselinetype = 'absolute';
>> cfg.zlim = [-1 1];
>> cfg.xlim = [0 3];
>> cfg.layout      = 'biosemi64.lay';
>> cfg.gridscale = 600;
>> cfg.marker = 'on';
>> clf;
>> set(gca, 'color', 'none');
>> cfg.colormap = colormap('jet');
>> cfg.ylim = [8 12];
>> ft_topoplotTFR(cfg, GAall_TrainingRight);
>> 
>> 
>> Thank you very much for the help!
>> 
>> Emilie
>> <Marker.jpg>
>> 
>> ---------------------------------------------
>> Emilie Caspar, Ph.D
>>  
>> CO3, Centre de Recherche Cognition et Neurosciences (CRCN), ULB 
>> Voice : +32 2 650 32 95 
>> mail : ecaspar at ulb.ac.be <mailto:ecaspar at ulb.ac.be>
>> office: DB10-138 
>> 
>> Social Brain Lab, Netherlands Institute for Neuroscience (NIN), KNAW
>> mail : e.caspar at nin.knaw.nl <mailto:e.caspar at nin.knaw.nl>
>> 
>> 
>> 
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