[Eeglablist] Connectivity normalization

[Sampath Thoutanahalli Kapanaiah]

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