Functional Brain Connectivity Estimators: Understanding and Developing New Methodologies

The objective of the proposed research is to develop a framework to unify the different methodologies that are used for constructing a specific part of the brain functional networks (i.e., functional connectivity or the relationship between different parts of the functional networks). In addition, we will develop new methodologies for estimating functional connectivity and propose modifications for other methods already available in the field to improve them. Finally, we implement the proposed methods on real brain functional data to showcase these methods' applications for extracting biomarkers for both healthy (i.e., development of the human brain from early childhood to adolescence) and abnormal conditions of the human brain (e.g., Schizophrenia).

Level thesis:degree_level

Doctoral

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Faghiri, Ashkan

Advisor dc:contributor.advisor

• Calhoun, Vince D.

Committee members dc:contributor.committeemember

• Anderson, David V.
• Dovrolis, Constantine
• Miller, Robyn Leigh
• Rahnev, Dobromir

• dynamic functional connectivity
• resting state fmri

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/1853/72636

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/72636