Keyword search (4,163 papers available)

"functional connectivity" Keyword-tagged Publications:

Title Authors PubMed ID
1 Probing cognitive reserve with resting state functional connectivity in subcortical ischemic vascular cognitive impairment Gu Y; Hsu CL; Boa Sorte Silva NC; Tam RC; Alkeridy WA; Lam K; Liu-Ambrose T; 41929984
HKAP
2 Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles Rattray GF; Jourde HR; Baillet S; Coffey EBJ; 41002111
PSYCHOLOGY
3 Effect of a single dose of lorazepam on resting state functional connectivity in healthy adults Ferland MC; Wang R; Therrien-Blanchet JM; Remahi S; Côté S; Fréchette AJ; Dang-Vu TT; Liu H; Lepage JF; Théoret H; 40646404
PERFORM
4 Hearing loss is associated with decreased default-mode network connectivity in individuals with mild cognitive impairment Grant N; Phillips N; 40567819
PSYCHOLOGY
5 Sleep neuroimaging: Review and future directions Pereira M; Chen X; Paltarzhytskaya A; Pache?o Y; Muller N; Bovy L; Lei X; Chen W; Ren H; Song C; Lewis LD; Dang-Vu TT; Czisch M; Picchioni D; Duyn J; Peigneux P; Tagliazucchi E; Dresler M; 39940102
HKAP
6 Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG Bedford O; Noly-Gandon A; Ara A; Wiesman AI; Albouy P; Baillet S; Penhune V; Zatorre RJ; 39757971
PSYCHOLOGY
7 Neural correlates of impulsivity in amphetamine use disorder Kaboodvand N; Shabanpour M; Guterstam J; 38991286
ENCS
8 Empathy, Defending, and Functional Connectivity While Witnessing Social Exclusion McIver TA; Craig W; Bosma RL; Chiarella J; Klassen J; Sandra A; Goegan S; Booij L; 35659207
PSYCHOLOGY
9 Neurophysiological Changes Induced by Music-Supported Therapy for Recovering Upper Extremity Function after Stroke: A Case Series Ghai S; Maso FD; Ogourtsova T; Porxas AX; Villeneuve M; Penhune V; Boudrias MH; Baillet S; Lamontagne A; 34065395
PSYCHOLOGY
10 DNA methylation differences in stress-related genes, functional connectivity and gray matter volume in depressed and healthy adolescents. Chiarella J, Schumann L, Pomares FB, Frodl T, Tozzi L, Nemoda Z, Yu P, Szyf M, Khalid-Khan S, Booij L 32479312
PSYCHOLOGY
11 Neural network retuning and neural predictors of learning success associated with cello training Wollman I; Penhune V; Segado M; Carpentier T; Zatorre RJ; 29891670
PSYCHOLOGY
12 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
13 SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity. Lee K, Lina JM, Gotman J, Grova C 27046111
PERFORM
14 Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry. Khalili-Mahani N, Rombouts SA, van Osch MJ, Duff EP, Carbonell F, Nickerson LD, Becerra L, Dahan A, Evans AC, Soucy JP, Wise R, Zijdenbos AP, van Gerven JM 28145075
PERFORM

 

Title:Sleep neuroimaging: Review and future directions
Authors:Pereira MChen XPaltarzhytskaya APache?o YMuller NBovy LLei XChen WRen HSong CLewis LDDang-Vu TTCzisch MPicchioni DDuyn JPeigneux PTagliazucchi EDresler M
Link:https://pubmed.ncbi.nlm.nih.gov/39940102/
DOI:10.1111/jsr.14462
Publication:Journal of sleep research
Keywords:functional connectivityfunctional magnetic resonance imagingneuroimagingpositron emission tomographyregional cerebral blood flowsleep
PMID:39940102 Category: Date Added:2025-02-13
Dept Affiliation: HKAP
1 Donders Institute of Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands.
2 Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
3 School of Information Science and Technology & Human Phenome Institute, Fudan University, Shanghai, China.
4 School of Health and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
5 Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK.
6 Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
7 Center for Systems Neuroscience, Boston University, Boston, Massachusetts, USA.
8 Department of Health, Kinesiology and Applied Physiology, Concordia University & Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Montreal, Quebec, Canada.
9 Max Planck Institute of Psychiatry, Munich, Germany.
10 Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA.
11 Advanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
12 UR2NF - Neuropsychology and Functional Neuroimaging Research Unit at CRCN - Centre de Recherches Cognition et Neurosciences, and UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.
13 Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires, Buenos Aires, Argentina.
14 Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile.

Description:

Sleep research has evolved considerably since the first sleep electroencephalography recordings in the 1930s and the discovery of well-distinguishable sleep stages in the 1950s. While electrophysiological recordings have been used to describe the sleeping brain in much detail, since the 1990s neuroimaging techniques have been applied to uncover the brain organization and functional connectivity of human sleep with greater spatial resolution. The combination of electroencephalography with different neuroimaging modalities such as positron emission tomography, structural magnetic resonance imaging and functional magnetic resonance imaging imposes several challenges for sleep studies, for instance, the need to combine polysomnographic recordings to assess sleep stages accurately, difficulties maintaining and consolidating sleep in an unfamiliar and restricted environment, scanner-induced distortions with physiological artefacts that may contaminate polysomnography recordings, and the necessity to account for all physiological changes throughout the sleep cycles to ensure better data interpretability. Here, we review the field of sleep neuroimaging in healthy non-sleep-deprived populations, from early findings to more recent developments. Additionally, we discuss the challenges of applying concurrent electroencephalography and imaging techniques to sleep, which consequently have impacted the sample size and generalizability of studies, and possible future directions for the field.





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