Task-merging for finer separation of functional brain networks in working memory

Cortex ◽  
2020 ◽  
Vol 125 ◽  
pp. 246-271 ◽  
Author(s):  
Nicole Sanford ◽  
Jennifer C. Whitman ◽  
Todd S. Woodward
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Karolina Finc ◽  
Kamil Bonna ◽  
Xiaosong He ◽  
David M. Lydon-Staley ◽  
Simone Kühn ◽  
...  

2016 ◽  
Author(s):  
Antonio G. Zippo ◽  
Pasquale A. Della Rosa ◽  
Isabella Castiglioni ◽  
Gabriele E. M. Biella

AbstractBrain functional networks show high variability in short time windows but mechanisms governing these transient dynamics still remain unknown. In this work we studied the temporal evolution of functional brain networks involved in a working memory task while recording high-density electroencephalography in human normal subjects. We found that functional brain networks showed an initial phase characterized by an increase of the functional segregation index followed by a second phase where the functional segregation fell down and the functional integration prevailed. Notably, wrong trials were associated with different sequences of the segregation-integration profile and measures of network centrality and modularity were able to catch crucial aspects of the oscillatory network dynamics. Additionally, computational investigations further supported the experimental results. The brain functional organization may respond to the information processing demand of a working memory task following a 2-step atomic scheme wherein segregation and integration alternately dominate the functional configurations.


NeuroImage ◽  
2020 ◽  
Vol 219 ◽  
pp. 116971 ◽  
Author(s):  
Lourdes Delgado Reyes ◽  
Sobanawartiny Wijeakumar ◽  
Vincent A. Magnotta ◽  
Samuel H. Forbes ◽  
John P. Spencer

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