Large-Scale Brain Network Coupling Predicts Total Sleep Deprivation Effects on Cognitive Capacity

Area of Science:

• Neuroscience
• Cognitive Science
• Sleep Research

Background:

• Interactions between large-scale brain networks are crucial for understanding cognitive dysfunction.
• Assessing the impact of sleep pressure on brain function and cognition is vital.

Purpose of the Study:

• To test if large-scale brain network coupling strength reflects sleep pressure and predicts cognitive performance.
• To develop and validate a Sleep Pressure Index (SPI).

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used in 14 healthy subjects under rested wakefulness (RW) and after 36 hours of total sleep deprivation (TSD).
• The SPI was developed based on the coupling strength between the salience network (SN) and the default mode network (DMN).
• Sleepiness was assessed using the visual analogue scale, and working memory (WM) performance was evaluated.

Main Results:

• Sleepiness scores were significantly higher after TSD compared to RW.
• WM performance was significantly reduced after TSD.
• SPI significantly increased after TSD, indicating heightened sleep pressure.
• SPI correlated significantly with subjective sleepiness and impaired WM performance.

Conclusions:

• Alterations in SN-DMN coupling are critical for cognitive deficits observed after TSD.
• The developed SPI shows potential as a clinical biomarker for assessing sleep deprivation effects.
• Further research is needed to validate SPI as a clinical tool.