Skip to content

fMRI algorithm that will measure a subject's visual cortex while as they view pictures of famous & non-famous people.

Notifications You must be signed in to change notification settings

ShahinKhalkhali/Biological-Signal-Processing

Repository files navigation

Biological-Signal-Processing

Summary

fMRI algorithm that will analyze a subject's visual cortex as they view pictures of famous & non-famous people.

The dataset used has been published by Henson et al. (https://doi.org/10.3389/fnhum.2011.00076). This dataset contains EEG, MEG, functional MRI, and structural MRI data from 16 subjects who undertook multiple runs of a simple task performed on a large number of Famous, Unfamiliar, and Scrambled faces. There were 9 runs (sessions) per subject for the fMRI experiment. During this project, you will be only analyzing the functional MRI data. More information about the data acquisition can be found here: https://www.nature.com/articles/sdata20151

Using the same pipeline shown in the tutorial report the following activation maps for one subject (assigned based on your group number) and for the group :

  • Famous face > 0
  • Unfamiliar face > 0
  • Faces > Scrambled Faces

For the group analysis, report the result on the MNI template. For the subject result, report the result on the subject-specific anatomy (skip normalization). For both, report all statistically significant results with a threshold of p < 0.05 (FWE corrected).

About

fMRI algorithm that will measure a subject's visual cortex while as they view pictures of famous & non-famous people.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages