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Perturbations in Brain Functional Connectivity Patterns After Waking From Slow Wave Sleep Under Different Cognitive StatesSleep inertia refers to the state of transition between sleep and wake characterized by impaired alertness, confusion, and reduced cognitive and behavioral performance. While the behavioral symptoms of sleep inertia are well described, the neurological changes that lead to this state remain elusive. Here, to understand the state of sleep inertia and the reorganization that the brain undergoes, we took a graph theoretical approach and compared the EEG derived brain connectivity patterns before sleep and after waking up while participants (n = 10) performed multiple tasks that differed in cognitive complexities. We focused on how the degree and the clustering coefficient of brain regions (EEG sensors) change immediately after participants wake up from slow wave sleep. During a psychomotor vigilance task (PVT), designed to assess vigilant attention, we find that the brain regions with strong network connectivity (degree) before sleep show a reduction in connectivity after waking. In contrast, those with low connectivity before sleep have greater connectivity after waking. The regions that undergo these changes are specific to each participant and these findings are unique to the beta frequency range, which plays a key role in sensorimotor functioning and preserving the current state of the brain. Moreover, in tasks that required inhibitory control and arithmetic reasoning, we found that only regions with weak connectivity before sleep exhibited more connections after waking, but regions with high connectivity prior to sleeping remained unchanged, highlighting task specific effects. Furthermore, we find that during the PVT, the clustering coefficient within low frequency oscillations of the brain is reduced upon waking while it remains unchanged during other tasks. These results suggest that the connections between regions that are lost after abrupt awakening can be reallocated to other regions in order to renormalize the brain. However, this response may only be evident during specific cognitive states and may be more nuanced during complex task performance.
Document ID
20230010156
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
L. O. Jimenez
(US CCDC Army)
C. J. Hilditch
(San Jose State University San Jose, California, United States)
E. E. Flynn-Evans
(Ames Research Center Mountain View, California, United States)
J. O. Garcia
(US CCDC Army)
N. L. Shattuck ORCID
(Naval Postgraduate School Monterey, California, United States)
K. Bansal
(US CCDC Army)
Date Acquired
July 11, 2023
Subject Category
Behavioral Sciences
Meeting Information
Meeting: 32nd Annual Computational Neuroscience Meeting (CNS 2023)
Location: Leipzig
Country: DE
Start Date: July 15, 2023
End Date: July 19, 2023
Sponsors: Network Science Society
Funding Number(s)
CONTRACT_GRANT: NNX17AE07A
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
Keywords
sleep inertia
neural networks
cognitive performance
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