[Eeglablist] Is dipfit ever used for purposes other than localising source space data?

Eric Rawls elrawls at email.uark.edu
Mon Jul 8 11:07:17 PDT 2019


Hi Kaelasha,
Could you link to the paper you are trying to replicate?
As others have mentioned, I have a hard time thinking of a use of dipole
fitting if you are categorically not interested in source localization.
One possibility that I saw at a recent conference (don't know if the paper
is out yet, it was a poster presented by Sid Segalowitz) is to remove all
ICs except those localized to certain anatomical regions, then to analyze
the scalp projection made of only (for example) PFC generators.
However, without knowledge of the analysis you're trying to replicate this
is speculatory.
You can also technically fit a dipole to the scalp map of EEG activation at
a specific time point but this is not advisable, because many individual
dipoles are active at each point in the time series.
Cheers
Eric Rawls, M.S.
Graduate Research Assistant, Instructor
Department of Psychological Sciences
University of Arkansas

On Mon, Jul 8, 2019 at 5:51 AM Kaelasha Tyler <kaelasha.tyler at gmail.com>
wrote:

> Hi all,
>
> EEG and MEG data can be analysed at the level of electrodes/sensors, or on
> the data as it is reconstructed back into anatomical space in the brain,
> using are range of processes (Beamforming, dipole fitting, LORETA etc).
>
> *My question is: will dipfit ever be useful if you are content carrying out
> the analysis at the level of the electrodes or sensors (not in
> reconstructed anatomical space)?*
>
> To explain:
> I am replicating an analysis in the literature, and reference in the paper
> I am following is made to fitting dipoles using dipfit2.2. However I am not
> needing to calculate eeg as it wold have occurred within the brain, but am
> content performing the analysis on ICA components of data recorded at the
> electrodes.
>
> In this case, is there any need at all to fit dipoles using dipfit2.2 ?
> Does using diptfit serve any other purpose?
>
> Thanks in advance.
> Kaelasha
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