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Improving Electroencephalography-Based Functional Connectivity Assessments to Identify Treatment Response in Major Depression

thesis
posted on 2024-07-11, 04:39 authored by ALEKSANDRA MILJEVIC
This thesis explores the best approaches for analysing Electroencephalography (EEG) data to assess functional connectivity - the way in which brain regions communicate with one another. The thesis identifies a robust and validated pipeline (i.e., combination of steps) and demonstrates how this pipeline could be used in clinical research settings, specifically in the application of EEG functional connectivity analyses in individuals with depression who have been treated with a brain stimulation intervention.

History

Principal supervisor

Paul Fitzgerald

Additional supervisor 1

Neil W. Bailey

Additional supervisor 2

Oscar W. Murphy

Year of Award

2024

Department, School or Centre

Central Clinical School

Additional Institution or Organisation

Monash Alfred Psychiatry research centre

Campus location

Australia

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Medicine, Nursing and Health Sciences

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    Faculty of Medicine, Nursing and Health Sciences Theses

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