Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks

Authors

Saman Sargolzaei, Florida International UniversityFollow

Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Electrical Engineering

First Advisor's Name

Malek Adjouadi

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Mercedes Cabrerizo

Second Advisor's Committee Title

Committee Member

Third Advisor's Name

Armando Barreto

Third Advisor's Committee Title

Committee Member

Fourth Advisor's Name

Sakhrat Khizroev

Fourth Advisor's Committee Title

Committee Member

Fifth Advisor's Name

Naphtali David Rishe

Fifth Advisor's Committee Title

Committee Member

Keywords

Alzheimer's disease, Pediatric Epilepsy, Brain Connectivity Networks

Date of Defense

3-25-2015

Abstract

Understanding pathways of neurological disorders requires extensive research on both functional and structural characteristics of the brain. This dissertation introduced two interrelated research endeavors, describing (1) a novel integrated approach for constructing functional connectivity networks (FCNs) of brain using non-invasive scalp EEG recordings; and (2) a decision aid for estimating intracranial volume (ICV). The approach in (1) was developed to study the alterations of networks in patients with pediatric epilepsy. Results demonstrated the existence of statistically significant (p

Identifier

FI15032115

Recommended Citation

Sargolzaei, Saman, "Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks" (2015). FIU Electronic Theses and Dissertations. 1915.
https://digitalcommons.fiu.edu/etd/1915