Keyword search (3,614 papers available)


Combating childhood overweight and obesity: The role of Olympic Movement and bodily movement

Author(s): Tam BT; Wan K; Santosa S; Cai Z;

With over 420 million children (aged 0-19 years) worldwide living with overweight or obesity, the "obesity epidemic" or "globesity" is a defining public health challenge of this generation. While significant efforts have been made to address...

Article GUID: 39991475

A database of magnetic resonance imaging-transcranial ultrasound co-registration

Author(s): Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y;

Purpose: As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, inc...

Article GUID: 39920905

Sex differences in the metabolism of glucose and fatty acids by adipose tissue and skeletal muscle in humans

Author(s): Costa DN; Santosa S; Jensen MD;

Adult males and females have markedly different body composition, energy expenditure, and have different degrees of risk for metabolic diseases. A major aspect of metabolic regulation involves the appropriate storage and disposal of glucose and fatty acids....

Article GUID: 39869194

Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach

Author(s): Ali OBK; Vidal A; Grova C; Benali H;

Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles ...

Article GUID: 39804928

Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks

Author(s): Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ;

The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and ...

Article GUID: 39791308

Cognitive-behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K-complex involvement

Author(s): Sforza M; Morin CM; Dang-Vu TT; Pomares FB; Perrault AA; Gouin JP; Bušková J; Janku K; Vgontzas A; Fernandez-Mendoza J; Bastien CH; Riemann ...

Investigating the mechanisms of action of cognitive-behavioural therapy for insomnia (CBT-I), the first-line treatment for chronic insomnia disorder (ID), can contribute to the overall understandin...

Article GUID: 39739397

Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology

Author(s): Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klim...

Introduction: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack...

Article GUID: 39608298

Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression

Author(s): Infantino E; Barnett TA; Côté-Lussier C; Van Hulst A; Henderson M; Mathieu ME; Sabiston C; Kakinami L;...

Background: Physical characteristics and perceptions of an environment can have enduring effects on one's mental health. The present study aimed to determine whether a set of measures of neighb...

Article GUID: 39604905

The Immediate Effect of a Single Treatment of Neuromuscular Electrical Stimulation with the StimaWELL 120MTRS System on Multifidus Stiffness in Patients with Chronic Low Back Pain

Author(s): Wolfe D; Dover G; Boily M; Fortin M;

Background/objectives: Individuals with chronic low back pain (CLBP) have altered lumbar multifidus stiffness properties compared to healthy controls. Although neuromuscular electrical stimulation (NMES) application to the multifidus might affect stiffness,...

Article GUID: 39594260


Title:NREM sleep brain networks modulate cognitive recovery from sleep deprivation
Authors:Lee KWang YCross NEJegou ARazavipour FPomares FBPerrault AANguyen AAydin ÜUji MAbdallah CAnticevic AFrauscher BBenali HDang-Vu TTGrova C
Link:https://pubmed.ncbi.nlm.nih.gov/39005401/
DOI:10.1101/2024.06.28.601285
Category:
PMID:39005401
Dept Affiliation: PERFORM
1 Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA, 06510.
2 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, QC, Canada H3A 2B4.
3 Multimodal Functional Imaging Lab, Department of Physics, Concordia University, Montréal, QC, Canada H4B 2A7.
4 Concordia School of Health / PERFORM Centre, Concordia University, Montréal, QC, Canada H4B 1R6.
5 Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China 200025.
6 Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China 200025.
7 Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montréal, QC, Canada H4B 1R6.
8 Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, Montréal, QC, Canada H3W 1W5.
9 School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom, RG6 6ET.
10 Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montréal, QC, Canada H3A 1A1.
11 Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada H3A 2B4.
12 Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut, USA, 06510.
13 Department of Psychology, Yale University School of Medicine, New Haven, Connecticut, USA, 06510.
14 Analytical Neurophysiology Lab, Department of Neurology, Duke University Medical Center, Durham, NC, USA.
15 Biomedical Imaging and Healthy Aging Laboratory, Department of Electrical and Computer Engineering, Concordia University, Montréal, Québec, Canada H3G 1S6.
16 Centre De Recherches En Mathématiques, Montréal, Québec, Canada H3C 3J7.

Description:

Decrease in cognitive performance after sleep deprivation followed by recovery after sleep suggests its key role, and especially non-rapid eye movement (NREM) sleep, in the maintenance of cognition. It remains unknown whether brain network reorganization in NREM sleep stages N2 and N3 can uniquely be mapped onto individual differences in cognitive performance after a recovery nap following sleep deprivation. Using resting state functional magnetic resonance imaging (fMRI), we quantified the integration and segregation of brain networks during NREM sleep stages N2 and N3 while participants took a 1-hour nap following 24-hour sleep deprivation, compared to well-rested wakefulness. Here, we advance a new analytic framework called the hierarchical segregation index (HSI) to quantify network segregation across spatial scales, from whole-brain to the voxel level, by identifying spatio-temporally overlapping large-scale networks and the corresponding voxel-to-region hierarchy. Our results show that network segregation increased in the default mode, dorsal attention and somatomotor networks during NREM sleep compared to wakefulness. Segregation within the visual, limbic, and executive control networks exhibited N2 versus N3 sleep-specific voxel-level patterns. More segregation during N3 was associated with worse recovery of working memory, executive attention, and psychomotor vigilance after the nap. The level of spatial resolution of network segregation varied among brain regions and was associated with the recovery of performance in distinct cognitive tasks. We demonstrated the sensitivity and reliability of voxel-level HSI to provide key insights into within-region variation, suggesting a mechanistic understanding of how NREM sleep replenishes cognition after sleep deprivation.