Characterizing EEG Electrodes in Directed Functional Brain Networks Using Normalized Transfer Entropy and PageRank

2021 ◽  
pp. 27-49
Author(s):  
Kaushik Suresh ◽  
Vijayalakshmi Ramasamy ◽  
Ronnie Daniel ◽  
Sushil Chandra
Keyword(s):  
Brain Networks ◽  
Transfer Entropy ◽  
Functional Brain ◽  
Functional Brain Networks

scholarly journals Directed Connectivity Analysis of Functional Brain Networks during Cognitive Activity Using Transfer Entropy

2016 ◽  
Vol 45 (3) ◽  
pp. 807-824 ◽  
Author(s):  
Md. Hedayetul Islam Shovon ◽  
Nanda Nandagopal ◽  
Ramasamy Vijayalakshmi ◽  
Jia Tina Du ◽  
Bernadine Cocks
Keyword(s):  
Brain Networks ◽  
Cognitive Activity ◽  
Transfer Entropy ◽  
Connectivity Analysis ◽  
Functional Brain ◽  
Functional Brain Networks

scholarly journals Alterations in functional brain networks in depressed patients with a suicide attempt history

2019 ◽  
Vol 45 (6) ◽  
pp. 964-974 ◽  
Author(s):  
JeYoung Jung ◽  
Sunyoung Choi ◽  
Kyu-Man Han ◽  
Aram Kim ◽  
Wooyoung Kang ◽  
...  
Keyword(s):  
Suicide Attempt ◽  
Brain Networks ◽  
Functional Brain ◽  
Depressed Patients ◽  
Functional Brain Networks

scholarly journals Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study

2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Blake R. Neyland ◽  
Christina E. Hugenschmidt ◽  
Robert G. Lyday ◽  
Jonathan H. Burdette ◽  
Laura D. Baker ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Community Structure ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Functional Brain ◽  
Network Community ◽  
Functional Brain Networks ◽  
The Brain

Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.

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