Discriminative Analysis of Brain Functional Connectivity Patterns for Mental Fatigue Classification

2014 ◽  
Vol 42 (10) ◽  
pp. 2084-2094 ◽  
Author(s):  
Yu Sun ◽  
Julian Lim ◽  
Jianjun Meng ◽  
Kenneth Kwok ◽  
Nitish Thakor ◽  
...  
2018 ◽  
Vol 14 (1) ◽  
pp. 100-109 ◽  
Author(s):  
Jinliang Zhang ◽  
Gaoyan Zhang ◽  
Xianglin Li ◽  
Peiyuan Wang ◽  
Bin Wang ◽  
...  

2015 ◽  
Vol 10 (4) ◽  
pp. 1117-1126 ◽  
Author(s):  
Amgad Droby ◽  
Kenneth S. L. Yuen ◽  
Muthuraman Muthuraman ◽  
Sarah-Christina Reitz ◽  
Vinzenz Fleischer ◽  
...  

2015 ◽  
Vol 112 (28) ◽  
pp. 8762-8767 ◽  
Author(s):  
Javier Gonzalez-Castillo ◽  
Colin W. Hoy ◽  
Daniel A. Handwerker ◽  
Meghan E. Robinson ◽  
Laura C. Buchanan ◽  
...  

Functional connectivity (FC) patterns in functional MRI exhibit dynamic behavior on the scale of seconds, with rich spatiotemporal structure and limited sets of whole-brain, quasi-stable FC configurations (FC states) recurring across time and subjects. Based on previous evidence linking various aspects of cognition to group-level, minute-to-minute FC changes in localized connections, we hypothesized that whole-brain FC states may reflect the global, orchestrated dynamics of cognitive processing on the scale of seconds. To test this hypothesis, subjects were continuously scanned as they engaged in and transitioned between mental states dictated by tasks. FC states computed within windows as short as 22.5 s permitted robust tracking of cognition in single subjects with near perfect accuracy. Accuracy dropped markedly for subjects with the lowest task performance. Spatially restricting FC information decreased accuracy at short time scales, emphasizing the distributed nature of whole-brain FC dynamics, beyond univariate magnitude changes, as valuable markers of cognition.


2016 ◽  
Vol 298 ◽  
pp. 248-260 ◽  
Author(s):  
R. Yuvaraj ◽  
M. Murugappan ◽  
U. Rajendra Acharya ◽  
Hojjat Adeli ◽  
Norlinah Mohamed Ibrahim ◽  
...  

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