T-20

My application for Google Summer of Code was accepted!

Its officially community bonding period and I'm in the planning phases of my summer coding.

First of all, I'm interested in using Python to look at electromagnetic brain activity in deep layers beneath the cortex. This electromagnetic activity is typically collected using EEG or MEG. In order to spatially localize sources of electromagnetic activity, one needs a structural MRI.

Luckily, I have MRI and EEG data available in the Gazzaley Lab. In one of our studies, we looked at younger and older adults' brains as they either viewed or imagined visual stimuli (Kalkstein et al., 2011). According to the fMRI data from this study, when participants viewed or imagined faces, they showed increased amygdala activity. Since the amygdala is located beneath the cortical layers, this is a good data set for looking at subcortical electromagnetic activity.

First, here's a list of subject IDs for participants that have both EEG and fMRI data

• 503
• 506
• 507
• 512
• 513
• 517
• 518
• 519
• 522
• 533

The numbers are arbitrary, but each one represents a participant from our study.

Each participant has an rt1_mprage.nii file which we will analyze using freesurfer to create a map on which to overlay the EEG data.

That's all for today. More to follow tomorrow.