DYNAMIC FUNCTIONAL CONNECTIVITY NETWORKS: NEW ANALYSIS AND INTERPRETATION STRATEGIES

Traditional brain network studies have implicitly assumed that functional connectivity between distinct brain regions is static over the recording period of resting state scans. Brain network organization must dynamically recognize, integrate and respond to internal and external stimuli across multiple time scales. Thus, investigating dynamic brain network connectivity may provide greater insight into understanding fundamental properties of brain networks. This project takes three approaches to studying dynamic brain connectivity.

Grantor dc:publisher

Wake Forest University

Year dc:date.issued

2018

Author dc:creator

• Mokhtari, Fatemeh

• Data science

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10339/92389

OAI identifier oai:identifier

oai:wakespace.lib.wfu.edu:10339/92389