Dynamic Functional Connectivity States in Narcolepsy Type 1: Distinct Patterns from Acute Sleep Deprivation and Associations with Clinical Measures of Sleepiness
Zhu, W.; Xiao, F.; Wang, M.; Dong, X.; Han, F.; Ma, N.
Show abstract
Background and ObjectivesNarcolepsy Type 1 (NT1) is a neurological disorder caused by hypocretin deficiency, leading to excessive daytime sleepiness and cataplexy. This study characterized dynamic functional connectivity (dFC) states in NT1 patients, acute sleep-deprived (SD) individuals, and healthy controls, and explored how these states relate to clinical measures of sleepiness and arousal. MethodsIn this study, resting-state co-fluctuation analysis was employed to identify recurring brain states and compare group differences in state dwell time, transition probabilities, and interaction strength. Associations between dFC properties and clinical metrics (Epworth Sleepiness Scale [ESS] scores, mean sleep latency from MSLT) were also investigated. ResultsFive distinct resting-state co-fluctuation states were identified. NT1 patients showed significantly longer mean dwell time and higher fraction rate in State 3, characterized by synchronized activity between the salience/ventral attention network (SN/VAN) and sensorimotor network (SMN) with antagonistic co-fluctuations to the visual network (VIS), compared to both SD and control groups. They also exhibited increased reciprocal transition probabilities between State 3 and State 5. Group-specific differences in co-fluctuation strength were observed across multiple states, with NT1 showing distinct alterations in interactions involving the striatum, limbic system, and attentional networks. Moreover, the fraction rate of State 5 negatively correlated with ESS scores, while the fraction rate of State 3 negatively correlated with mean sleep latency from MSLT in NT1 patients, indicating that increased occupancy of certain states was associated with less subjective sleepiness and greater arousal instability. ConclusionThese findings highlight the role of chronic hypocretin-mediated arousal failure versus acute homeostatic sleep pressure in shaping network co-fluctuation patterns, characterized by thalamocortical disconnection, cortical dysregulation, and enhanced striatal-limbic connectivity. This state might be specific to hypocretin deficiency and suggests that dFC states may serve as potential biomarkers for sleep-wake disorders.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Disrupted topological properties of structural brain networks presents a glutamatergic neuropathophysiology in narcolepsy patients 97%
- Divergent disruption of brain networks following total and chronic sleep loss: a longitudinal fMRI study 96%
- The Aging Slow Wave: A Shifting Amalgam of Distinct Slow Wave and Spindle Coupling Subtypes Define Slow Wave Sleep Across the Human Lifespan 94%
Similar papers in this journal
- Associating EEG Functional Networks and the Effect of Sleep Deprivation as Measured Using Psychomotor Vigilance Tests 95%
- Topographical relocation of adolescent sleep spindles reveals a new maturational pattern of the human brain 95%
- Delta-range coupling between prefrontal cortex and hippocampus supported by respiratory rhythmic input from the olfactory bulb in freely behaving rats 93%
Similar papers in this journal
- Functional connectome mediates the association between sleep disturbance and mental health in preadolescence 94%
- Spindle - slow oscillation coupling correlates with memory performance and connectivity changes in a hippocampal network after sleep 93%
- Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease 92%
Similar papers in this journal
- GBA variants in REM sleep behavior disorder: a multicenter study 92%
- White matter microstructural changes in adult-onset idiopathic focal cervical dystonia using ultra-strong diffusion gradient MRI 91%
- Normative and individual, non-normative intrinsic networks and the transition to impaired cognition 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.