[FieldTrip] data.sampleinfo when preprocessing was completed in EEGLAB

Eelke Spaak eelke.spaak at donders.ru.nl
Thu Sep 11 09:55:25 CEST 2014


Correct :)

On 10 September 2014 16:56, Clara A. Scholl <clara.scholl at gmail.com> wrote:
> Dear Eelke,
>
> Thank you!  Just to clarify:  when I use ft_mvaranalysis to perform
> multivariate autoregressive modeling on time series data over multiple
> trials, the relative temporal adjacency of each trial (assumed to be
> consecutive segments, when this is not the case) has no impact on the
> resulting autoregressive coefficients and the covariance of the residuals?
>
> Respectfully,
> Clara
>
>
> On Wed, Sep 10, 2014 at 4:49 AM, Eelke Spaak <eelke.spaak at donders.ru.nl>
> wrote:
>>
>> Dear Clara,
>>
>> 1) Some FT functions require a sampleinfo for their inner workings, so
>> they reconstruct it in a simple way if it is not present. You can
>> safely ignore this warning if you are not doing anything with sample
>> indices yourself. Specifically, the FT artifact and event functions
>> use sample indices (i.e. return segments of artifacts/events in terms
>> of samples relative to the original recording), if you are not using
>> these you are probably safe.
>>
>> 2) Not me ;)
>>
>> Best,
>> Eelke
>>
>> On 9 September 2014 21:25, Clara A. Scholl <cas243 at georgetown.edu> wrote:
>> > Dear FieldTrip Community,
>> >
>> > I did preprocessing in EEGLAB and imported into FieldTrip using
>> > eeglab2fieldtrip (from EEGLAB version 13.3.2b).  The resulting FieldTrip
>> > data structures do not have the data field "sampleinfo" to specify the
>> > position of each trial relative to the actual recording.  As a result of
>> > this, I get the warning "reconstructing sampleinfo by assuming that the
>> > trials are consecutive segments of a continuous recording" when calling
>> > the
>> > functions ft_timelockanalysis and ft_mvaranalysis.
>> >
>> > My questions are twofold:
>> >
>> > 1) when can I ignore this warning?
>> > 2) has anyone imported the sampleinfo into FieldTrip from an EEGLAB EEG
>> > structure? Any guidance on the best way to do this?
>> >
>> > Thanks immensely for feedback!
>> > Respectfully,
>> > Clara
>> >
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>
>
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