Decreased resting-state alpha-band activation and functional connectivity after sleep deprivation

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Abstract
Cognitive abilities are impaired by sleep deprivation and can be recovered when sufficient sleep is obtained. Changes in alpha-band oscillations are considered to be closely related to sleep deprivation. In this study, power spectrum, source localization and functional connectivity analyses were used to investigate the changes in resting-state alpha-band activity after normal sleep, sleep deprivation and recovery sleep. The results showed that the global alpha power spectrum decreased and source activation was notably reduced in the precuneus, posterior cingulate cortex, cingulate gyrus, and paracentral lobule after sleep deprivation. Functional connectivity analysis after sleep deprivation showed a weakened functional connectivity pattern in a widespread network with the precuneus and posterior cingulate cortex as the key nodes. Furthermore, the changes caused by sleep deprivation were reversed to a certain extent but not significantly after one night of sleep recovery, which may be due to inadequate time for recovery sleep. In conclusion, large-scale resting-state alpha-band activation and functional connectivity were weakened after sleep deprivation, and the inhibition of default mode network function with the precuneus and posterior cingulate cortex as the pivotal nodes may be an important cause of cognitive impairment. These findings provide new insight into the physiological response to sleep deprivation and determine how sleep deprivation disrupts brain alpha-band oscillations.
Funding Information
  • the Military Science and Technology Commission National Defense Science and Technology Innovation Zone Project (1716312ZT00212101)
  • the Independent Project of Key Laboratory of Human Factors Engineering (SYFD160051806)
  • the Foundation of Key Laboratory for Equipment Advanced Research (6142222180204)
  • Equipment Advance Foundation of National Key Laboratory (614222201060317)
  • the Foundation Project in the field of Equipment Advanced Research (61400020402)

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