Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study

Sleep onset is characterized by a departure from arousal, and can be separated into well-differentiated stages: NREM (which encompasses three substages: N1, N2 and N3) and REM (Rapid Eye Movement). Awake brain dynamics are maintained by various wake-promoting mechanisms, particularly the neuromodulators Acetylcholine (ACh) and Noradrenaline (NA), whose levels naturally decrease during the transition to sleep. The combined influence of these neurotransmitters on brain connectivity during sleep remains unclear, as previous models have examined them mostly in isolation or only in deep sleep. In this study, we analyze fMRI data obtained from healthy individuals and employ a whole-brain model to investigate how changes in brain neurochemistry during NREM sleep, specifically involving ACh and NA, affect the Functional Connectivity (FC) of the brain. FC analysis reveals distinct connectivity changes: a decrease in Locus Coeruleus (LC) connectivity with the cortex during N2 and N3, and a decrease in Basal Forebrain (BF) connectivity with the cortex during N3. Additionally, compared to Wakefulness (W), there is a transition to a more integrated state in N1 and a more segregated state in N3. Using a Wilson-Cowan whole-brain model, informed by an empirical connectome and a heterogeneous receptivity map of neuromodulators, we explored possible mechanisms underlying these dynamics. We fit the model adjusting the coupling and input-output slope of the whole-brain model to account for ACh and NA, respectively, and show that region-specific neurotransmitter effect is key to explain their effects on FC. This work enhances our understanding of neurotransmitters' roles in modulating sleep stages and their significant contribution to brain state transitions between different states of consciousness, both in health and disease.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-10-28
DOI
https://doi.org/10.1371/journal.pcbi.1012852
Citations
1
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
1.43
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article

Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study

Carlos Coronel‐Oliveros, Vicente Medel, Thomas Liebe, Sebastián Orellana et al.
1 citations
PLoS Computational Biology
Sleep and Wakefulness Research
1.43
article

Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study

Carlos Coronel‐Oliveros, Vicente Medel, Thomas Liebe, Sebastián Orellana, Patricio Orio, Diego Becerra, Enzo Tagliazucchi, Jörn Kaufmann, Fernando Lehue
article en
1 citations

Abstract

Sleep onset is characterized by a departure from arousal, and can be separated into well-differentiated stages: NREM (which encompasses three substages: N1, N2 and N3) and REM (Rapid Eye Movement). Awake brain dynamics are maintained by various wake-promoting mechanisms, particularly the neuromodulators Acetylcholine (ACh) and Noradrenaline (NA), whose levels naturally decrease during the transition to sleep. The combined influence of these neurotransmitters on brain connectivity during sleep remains unclear, as previous models have examined them mostly in isolation or only in deep sleep. In this study, we analyze fMRI data obtained from healthy individuals and employ a whole-brain model to investigate how changes in brain neurochemistry during NREM sleep, specifically involving ACh and NA, affect the Functional Connectivity (FC) of the brain. FC analysis reveals distinct connectivity changes: a decrease in Locus Coeruleus (LC) connectivity with the cortex during N2 and N3, and a decrease in Basal Forebrain (BF) connectivity with the cortex during N3. Additionally, compared to Wakefulness (W), there is a transition to a more integrated state in N1 and a more segregated state in N3. Using a Wilson-Cowan whole-brain model, informed by an empirical connectome and a heterogeneous receptivity map of neuromodulators, we explored possible mechanisms underlying these dynamics. We fit the model adjusting the coupling and input-output slope of the whole-brain model to account for ACh and NA, respectively, and show that region-specific neurotransmitter effect is key to explain their effects on FC. This work enhances our understanding of neurotransmitters' roles in modulating sleep stages and their significant contribution to brain state transitions between different states of consciousness, both in health and disease.

PLoS Computational BiologyVol. 21(10)
Trinity College Dublin (IE), Adolfo Ibáñez University (CL), Universidad de Buenos Aires (AR), University Hospital Magdeburg (DE), Global Brain Health Institute (US), Fundación Ciencias Exactas y Naturales (AR), University of Valparaíso (CL)
Openalex Percentile: Top 14%
Sleep and Wakefulness Research
1.43
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