File(s) under embargo

11

month(s)

6

day(s)

until file(s) become available

Bayesian change-point detection for dynamic functional brain networks

thesis
posted on 31.08.2021, 22:43 by LINGBIN BIAN
Brain function relies on a precisely coordinated and dynamic balance between the functional integration and segregation of distinct networks. Characterizing the way in which brain regions reconfigure their interactions to give rise to distinct but hidden brain states remains an open challenge. In this thesis, novel Bayesian methods are developed for identifying the states and transitions of dynamic functional brain networks and estimating the community structure of the group-level discrete brain states.

History

Campus location

Australia

Principal supervisor

Jonathan Macgregor Keith

Additional supervisor 1

Tiangang Cui

Additional supervisor 2

Adeel Razi

Year of Award

2021

Department, School or Centre

Mathematics

Additional Institution or Organisation

School of Mathematics, Faculty of Science

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Science