Dear PhD Student,
We have an exciting Topics class for you to consider for Spring 2022!
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* |
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CSC |
8910 |
016 |
Atlanta |
3.000 |
T |
03:30 pm-06:00 pm |
10 |
0 |
10 |
30 |
0 |
30 |
This class will be held in 55 Park Place 1802. |
Vince Calhoun (P) |
01/10-05/03 |
55 Park Place Building |
Best wishes,
Raj Sunderraman
Topics in Neuroimaging Analysis:
Networks, Connectomes, Dynamics, and Multimodal Fusion
Vince Calhoun
PSYCH 8910 & CSC 8910
Spring Semester, 2022
Course Description/Syllabus: This graduate-level course will provide an overview of approaches to study functional
(network) connectivity in functional magnetic resonance imaging (fMRI) data and will cover a variety of topics including brain networks/connectome, dynamic connectivity, and multimodal data fusion. FMRI is a widely-used brain imaging technique which produces
a series of images which are sensitive to localized changes in blood oxygenation which occur in the brain intrinsically and are modulated while performing a task. We will briefly review the basics of MRI and the fMRI signal as well as preprocessing. Most of
the course will focus on the analysis of the time series data produced by functional magnetic resonance imaging of the brain with various approaches including linear modeling, seed-based functional connectivity, and blind source separation tools, such as independent
component analysis. We will also cover methods that can be used to combine fMRI data with other imaging modalities such as structural MRI or EEG, in a joint analysis, i.e., multimodal data fusion. Several Matlab-based software packages will be used in the
projects order to demonstrate the concepts and learn how to read in and manipulate the data.
--
Rajshekhar Sunderraman
Professor and Associate Chair
Department of Computer Science
Georgia State University
P.O. Box 5060
Atlanta, GA 30302-5060
www: http://tinman.cs.gsu.edu/~raj
WebEx: https://gsumeetings.webex.com/meet/rsunderraman
phone: (404)413-5726 fax: (404)413-5717