[Eeglablist] person-specific band parameters

[Cedric Cannard]

Dear Brian,

You can try the restingIAF code, designed to detect the IAF (with CoG or PAF methods), but I believe the paper mentioned you can use the algorithm to detect lower/upper bounds of any band, considering they have a shape in the power spectra. Repo: https://urldefense.com/v3/__https://github.com/corcorana/restingIAF__;!!Mih3wA!Bt0E7Cniwym8K_3ZS9G7Z6G72lFWwByQl4QvZhLkn0QkX1o8jWraIP7DAFBF2gZDt0CPYz3VLlqujy4GmgNB6nd6BA$ 

You could give it a try (see their tutorial script). Simply adjust the 'w' input to the band you want to inspect. 

For example for beta band:
% Load a processed file in EEG and launch this 9after cloning the restingIAF repo and after adding its path in Matlab):
[pSpec.sums, pSpec.chans, f]= restingIAF(EEG.data, EEG.nbchan, 3, [1 40], EEG.srate, [13 30], 11, 5); 

The individualized lower bound of beta band for this file is given for each channel in [pSpec.chans.pos1], and upper bound in [pSpec.chans.pos2]


Otherwise, LIMO-EEG allows you to do mass-univariate analyses with hierarchical linear modeling, advanced spatiotemporal corrections for type 1 error, and gives you results without any assumption about frequency bands. If there is something in the beta band for example, it will show up as significant cluster. See here: https://urldefense.com/v3/__https://github.com/LIMO-EEG-Toolbox/limo_tools/wiki__;!!Mih3wA!Bt0E7Cniwym8K_3ZS9G7Z6G72lFWwByQl4QvZhLkn0QkX1o8jWraIP7DAFBF2gZDt0CPYz3VLlqujy4GmgMDl5PhIA$ 

There is also the Independent modulators approach that may work, see here: https://sccn.ucsd.edu/~julie/AlphaIMposter.pdf


Cedric Cannard, PhD


Sent with Proton Mail secure email.

------- Original Message -------
On Monday, May 22nd, 2023 at 12:22 PM, Kavanaugh, Brian via eeglablist <eeglablist at sccn.ucsd.edu> wrote:


> Hi everyone,
> 
> Has anyone ever moved beyond the traditional band parameters (e.g., beta
> 15-29 hz) to calculate activity based on each person's specific or optimal
> range (e.g., 20-25 for person 1, 18-23 for person 2 etc).
> 
> Maybe the approach would be similar to calculating an 'individualized alpha
> peak', for example?
> 
> Curious to hear the group's thoughts!
> 
> Brian
> 
> 
> Brian Kavanaugh, Psy.D., ABPP
> 
> Board Certified in Clinical Neuropsychology, Pediatric Subspecialist
> 
> Pediatric Neuropsychologist, E. P. Bradley Hospital
> 
> Assistant Professor, Warren Alpert Medical School of Brown University
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to eeglablist-request at sccn.ucsd.edu