TY - GEN
T1 - Altered Regional Brain Communities during High Order Cognitive Processes
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
AU - Abbasi, Nida Itrat
AU - Bose, Rohit
AU - Kumar, Yaswanth
AU - Bodala, Indu P.
AU - Bezerianos, Anastasios
AU - Thakor, Nitish V.
AU - Dragomir, Andrei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - Understanding modular organization between brain regions can provide deeper insight into the complex neural mechanisms associated with processes like vigilance decrement. Distinct but interacting modules in brain connectivity networks have been known to support integration of specific mechanisms relevant in high-order cognitive processes. To investigate the neuronal mechanisms associated with vigilance decrement, we conducted an experiment where the participants performed a driving task. EEG graph metrics within communities, like clustering coefficient (Cintra), efficiency (Eintra), density (Dintra), and between communities, like intermodule density (Dinter), were computed from the source-localized surface brain signals. Further, we also calculated the nodal out degree to investigate the difference in information flow in the brain during vigilance decrement. Increase in the intermodule density, Dinter, was observed from the left fronto-parietal cluster to the right temporo-parietal cluster. Moreover, significant reduction in the intramodule metrics, Eintra and Cintra was observed in the right temporo- parietal cluster. Thus, our findings signify a flexible topographical architecture to compensate the hub disruption effect caused due to decline in vigilance.
AB - Understanding modular organization between brain regions can provide deeper insight into the complex neural mechanisms associated with processes like vigilance decrement. Distinct but interacting modules in brain connectivity networks have been known to support integration of specific mechanisms relevant in high-order cognitive processes. To investigate the neuronal mechanisms associated with vigilance decrement, we conducted an experiment where the participants performed a driving task. EEG graph metrics within communities, like clustering coefficient (Cintra), efficiency (Eintra), density (Dintra), and between communities, like intermodule density (Dinter), were computed from the source-localized surface brain signals. Further, we also calculated the nodal out degree to investigate the difference in information flow in the brain during vigilance decrement. Increase in the intermodule density, Dinter, was observed from the left fronto-parietal cluster to the right temporo-parietal cluster. Moreover, significant reduction in the intramodule metrics, Eintra and Cintra was observed in the right temporo- parietal cluster. Thus, our findings signify a flexible topographical architecture to compensate the hub disruption effect caused due to decline in vigilance.
UR - http://www.scopus.com/inward/record.url?scp=85066752028&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066752028&partnerID=8YFLogxK
U2 - 10.1109/NER.2019.8717003
DO - 10.1109/NER.2019.8717003
M3 - Conference contribution
AN - SCOPUS:85066752028
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 631
EP - 634
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
Y2 - 20 March 2019 through 23 March 2019
ER -