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Sophie Herbst edited this page Apr 12, 2019 · 8 revisions

Welcome to the Cognition & Brain Dynamic MEG_Pipeline wiki!

Simple pipeline to get you started

Analysis of MEG localizer data (Zilber et al NIMG 2014)

Task: passive MEG localizer was used to localize hMT+ (human motion coherence). Stimuli: red cloud of visual dots 120 trials of one red cloud of visual dots start with incoherent for 0.500 s and followed by 1 s of coherent motion (95% of coherence, 60 trials) or incoherent (0% of coherence, 60 trials).

In the paper, the evoked response fields (ERFs) elicited by the transition to fully coherent (i.e. going from 0% to 95% coherence) were contrasted with the ERFs elicited at the same latency but in the absence of transition (i.e. 0% of coherence).

trigger 33 = 0% coherence down; trigger 35 = 0% coherence up trigger 37 = 95% coherence down; trigger 39 = 95% coherence up

Expected outcome of the localizer data image

Misc info: Sampling, Nyquist, Aliasing: https://youtu.be/Fy9dJgGCWZI

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