[Eeglablist] Connectivity normalization

[Makoto Miyakoshi]

Hello Sampath,

You may divide the post values with the pre values. I have been using
subtraction to show the differences between the conditions in the past. I
guess both should work just fine. Or do you see any concern in using
division there?

Makoto

On Wed, Jun 14, 2023 at 8:23 AM Sampath Thoutanahalli Kapanaiah <
sampath.kapanaiah at uni-ulm.de> wrote:

> Dear Makoto,  Arnaud Delorme and EEGLab Users,
>
> I hope this email finds you well. I seek guidance on the appropriate
> method for normalizing SIFT resting state connectivity matrix data obtained
> from LFP continuous recordings in mice depth electrodes.
>
> My dataset consists of connectivity matrices calculated over 20-second
> intervals spanning a total duration of 60 minutes. The first 10 minutes of
> the recording represent the pre-injection baseline, while the remaining
> time captures the post-injection data.
>
> To check the drug's effect, I am interested in normalizing the
> post-injection connectivity data relative to the baseline. I have been
> dividing the post-injection connectivity values by the connectivity values
> obtained during the 10-minute baseline period. However, I am uncertain if
> this approach is the most appropriate and would greatly appreciate your
> expert advice.
>
> Considering the nature of the data and the desired normalization, could
> you kindly suggest the best method to normalize the connectivity matrix
> data to the baseline? I want to ensure that differences do not solely
> influence any observed changes in connectivity post-injection in the
> baseline values.
>
> Thank you very much for your time. I look forward to your valuable
> insights and suggestions.
>
> Best regards,
> Sampath
>
> PhD student,
> Ulm University
> Ulm, Germany
>
>