JOURNAL ARTICLE

Modulation of Neural Compensatory Response by Duration of Sleep Deprivation in a Cognitive Flexibility Task.

  • Published In: Journal of Sleep Research, 2026, v. 35, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhang, Yue; Miao, Haofei; Wang, Chao; Wu, Bin; Chen, Xiaoping; Chi, Lizhong 3 of 3

Abstract

The neural compensation mechanism involves maintaining cognitive performance during sleep deprivation (SD) by triggering alternative neural activations. While cognitive task complexity modulates post‐SD neural activation, the role of SD duration remains uncertain. Thirty‐three healthy college students (16 male and 17 female) completed a 36‐h SD protocol, performing a switching task at baseline (pre‐SD), after 24 h of SD (SD‐24), and after 36 h of SD (SD‐36). Resting‐state EEG signals were recorded for 5 min at each SD stage and analysed using Standardised Low‐Resolution Electromagnetic Tomography. Behavioural results showed that task performance declined after SD‐24 compared to pre‐SD, but recovered toward baseline levels after SD‐36. Additionally, cognitive flexibility was lower after SD‐24 and SD‐36 than pre‐SD, with no significant difference observed between SD‐24 and SD‐36. EEG results indicated decreased activation of the orbitofrontal and superior frontal gyrus after SD‐24 and SD‐36 compared to pre‐SD, but increased activation of the superior parietal lobe after SD‐36 compared to SD‐24. The results of this study suggest that compensatory mechanisms depend on SD duration, indicating that effective neural compensation requires sustained wakefulness to activate fully. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Sleep Research. 2026/02, Vol. 35, Issue 1, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:0962-1105
  • DOI:10.1111/jsr.70081
  • Accession Number:191256426
  • Copyright Statement:Copyright of Journal of Sleep Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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