[FieldTrip] Can the cortical source of any sensor-level metric be localized?

[Ingmar de Vries]

Hi Li Su,

What a coincidence, before posting my question I exactly read (amongst some
others) your two papers you suggested.
Thanks for the suggestions :-)

Best,
Ingmar

Op ma 29 mrt. 2021 om 17:16 schreef Li Su <ls514 at cam.ac.uk>:

> Hi Ingmar,
>
> My suggestion is that if you are interested in the source, you’d better to
> do MNE localisation first and run RSA directly in the source space. Here
> are two papers from my own group applying this method.
>
> *Wingfield, C., Su, L. , Liu, X., Zhang, C., Woodland, P., Thwaites, A.,
> Fonteneau, E., Marslen-Wilson, W.D., (2017) Relating Dynamic Brain States
> to Dynamic Machine States: Human and Machine Solutions to the Speech
> Recognition Problem, PloS Computational Biology.
> doi.org/10.1371/journal.pcbi.1005617
> <http://doi.org/10.1371/journal.pcbi.1005617>*
>
> *Su, L. , Fonteneau, E., Marslen-Wilson, W. and Kriegeskorte, N. (2012)
> Spatiotemporal Searchlight Representational Similarity Analysis in EMEG
> Source Space, IEEE Xplore, 97-100, doi:10.1109/PRNI.2012.26*
>
> Bw,
>
> Li Su
>
>
> —
> *Professor Li Su, PhD*
> Chair of Neuroimaging
> Sheffield Institute for Translational Neuroscience,
> University of Sheffield, 385A Glossop Road,
> Sheffield, S10 2HQ, UK
> Alzheimer’s Research UK Senior Research Fellow
> Department of Psychiatry, University of Cambridge,
> Level E4, Box 189, Cambridge Biomedical Campus,
> Cambridge, CB2 0SP, UK
>
> On 29 Mar 2021, at 15:43, Ingmar de Vries <i.e.j.de.vries at gmail.com>
> wrote:
>
> Dear Fieldtrip community,
>
> I have a conceptual question that potentially applies to many possible
> situations. If it helps, here is my situation:
>
> I am currently analyzing MEG data (Neuromag, 306 sensors), using
> representational similarity analysis (RSA). I have applied a spatial
> searchlight at the sensor level, which results in RSA (i.e. correlation)
> values at each of the 306 sensors. This results in an interesting spatial
> peak of correlation above areas that are expected to be involved.
>
> Is it possible to localize the cortical source of this sensor-level peak
> in correlation?
> This question can be generalized to any metric, i.e.: Is it possible
> to localize the cortical source of any sensor-level metric?
>
> I can't find any literature doing something similar, and the main problem
> I foresee is in the definition of a head model. That is, standard head
> models either define electrical conductivity (EEG), or spread of the
> magnetic field (MEG), but not the spread of an information-based metric
> (here correlation, but could be decoding accuracy as well). Is there a
> solution for this?
>
> The alternative approach (plan B) would be to first apply source
> reconstruction on the raw MEG signal with a distributed source model (e.g.
> MNE), and subsequently apply the RSA analyses on the source-reconstructed
> signal.
>
> Thanks for the input and I hope you are all healthy and safe, and able to
> continue your research in these strange times!
>
> cheers,
>
> --
> *~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*
> *Ingmar de Vries, PhD.*
> *Postdoc @ CIMeC, University of Trento*
> *i.e.j.de.vries at gmail.com <i.e.j.de.vries at gmail.com>*
> *~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*
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-- 
*~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*
*Ingmar de Vries, PhD.*
*Postdoc @ CIMeC, University of Trento*
*i.e.j.de.vries at gmail.com <i.e.j.de.vries at gmail.com>*
*~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*
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