Keyword search (3,876 papers available)


BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy

Author(s): Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F;

Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-depe...

Article GUID: 40927858

Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk

Author(s): Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L;

Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population. Methods: Children's (= 17 years) DXA data in NHANES (n =...

Article GUID: 40878792

Multivariate white matter microstructure alterations in older adults with coronary artery disease

Author(s): Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; St...

Patients with coronary artery disease (CAD) face an increased risk of cognitive impairment, dementia, and stroke. While white matter (WM) lesions are frequently reported in patients with CAD, the e...

Article GUID: 40829939

The age of obesity onset affects changes in subcutaneous adipose tissue macrophages and T cells after weight loss

Author(s): Murphy J; Morais JA; Tsoukas MA; Cooke AB; Daskalopoulou SS; Santosa S;

Introduction: Adipose tissue inflammation, driven in part by immune cells, may contribute to the elevated type 2 diabetes risk in adults with childhood-onset obesity (CO) compared to those with adult-onset obesity (AO). Weight loss can modify adipose tissue...

Article GUID: 40831565

Prioritising methodological research questions for scoping reviews, mapping reviews and evidence and gap maps for health research: a protocol for PROSPECT Delphi study

Author(s): Pollock D; Hasanoff S; McBride G; Kanukula R; Tricco AC; Khalil H; Campbell F; Jia RM; Alexander L; Peters M; Vieira AM; Aromataris E; Nunn ...

Introduction: Scoping reviews, mapping reviews and evidence and gap maps (collectively known as 'big picture reviews') in health continue to gain popularity within the evidence ecosystem. T...

Article GUID: 40759523

The longitudinal effects of global and regional brain measurements on cognitive abilities

Author(s): Hosseininasabnajar F; Kakinami L;

Loss of brain tissues and cognitive abilities are natural processes of aging, but longitudinal studies are limited. We explored the longitudinal association between global and regional brain measures with cognitive abilities among individuals with normal co...

Article GUID: 40739300

Assessing quantitative MRI techniques using multimodal comparisons

Author(s): Carter F; Anwander A; Johnson M; Goucha T; Adamson H; Friederici AD; Lutti A; Gauthier CJ; Weiskopf N; Bazin PL; Steele CJ;...

The study of brain structure and change in neuroscience is commonly conducted using macroscopic morphological measures of the brain such as regional volume or cortical thickness, providing little i...

Article GUID: 40705745

Assessment of cognitive load in the context of neurosurgery

Author(s): Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL;

Purpose: Image-guided neurosurgery demands precise depth perception to minimize cognitive burden during intricate navigational tasks. Existing evaluation methods rely heavily on subjective user feedback, which can be biased and inconsistent. This study uses...

Article GUID: 40650801

Effect of a single dose of lorazepam on resting state functional connectivity in healthy adults

Author(s): Ferland MC; Wang R; Therrien-Blanchet JM; Remahi S; Côté S; Fréchette AJ; Dang-Vu TT; Liu H; Lepage JF; Théoret H;...

Lorazepam is a fast-acting benzodiazepine that is widely used to manage anxiety symptoms through modulation of GABAergic activity. Despite being one of the most prescribed benzodiazepines, the effe...

Article GUID: 40646404


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.