001     862045
005     20220930130209.0
024 7 _ |a 10.1002/hbm.24855
|2 doi
024 7 _ |a 1065-9471
|2 ISSN
024 7 _ |a 1097-0193
|2 ISSN
024 7 _ |a 2128/24301
|2 Handle
024 7 _ |a altmetric:69830841
|2 altmetric
024 7 _ |a pmid:31680379
|2 pmid
024 7 _ |a WOS:000493799800001
|2 WOS
037 _ _ |a FZJ-2019-02411
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Li, Changhong
|0 P:(DE-Juel1)174035
|b 0
245 _ _ |a Impact of acute sleep deprivation on dynamic functional connectivity states
260 _ _ |a New York, NY
|c 2020
|b Wiley-Liss
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1581085642_26287
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Sleep deprivation (SD) could amplify the temporal fluctuation of spontaneous brain activities that reflect different arousal levels using a dynamic functional connectivity (dFC) approach. Therefore, we intended to evaluate the test–retest reliability of dFC characteristics during rested wakefulness (RW), and to explore how the properties of these dynamic connectivity states were affected by extended durations of acute sleep loss (28/52 hr). We acquired resting‐state fMRI and neuropsychological datasets in two independent studies: (a) twice during RW and once after 28 hr of SD (n = 15) and (b) after 52 hr of SD and after 14 hr of recovery sleep (RS; n = 14). Sliding‐window correlations approach was applied to estimate their covariance matrices and corresponding three connectivity states were generated. The test–retest reliability of dFC properties demonstrated mean dwell time and fraction of connectivity states were reliable. After SD, the mean dwell time of a specific state, featured by strong subcortical–cortical anticorrelations, was significantly increased. Conversely, another globally hypoconnected state was significantly decreased. Subjective sleepiness and objective performances were separately positive and negative correlated with the increased and decreased state. Two brain connectivity states and their alterations might be sufficiently sensitive to reflect changes in the dynamics of brain mental activities after sleep loss.
536 _ _ |a 573 - Neuroimaging (POF3-573)
|0 G:(DE-HGF)POF3-573
|c POF3-573
|f POF III
|x 0
536 _ _ |a 571 - Connectivity and Activity (POF3-571)
|0 G:(DE-HGF)POF3-571
|c POF3-571
|f POF III
|x 1
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 2
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Fronczek‐Poncelet, Judith
|0 0000-0001-7457-9172
|b 1
700 1 _ |a Lange, Denise
|0 P:(DE-Juel1)165827
|b 2
700 1 _ |a Hennecke, Eva
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Kroll, Tina
|0 P:(DE-Juel1)131691
|b 4
700 1 _ |a Matusch, Andreas
|0 P:(DE-Juel1)138474
|b 5
|u fzj
700 1 _ |a Aeschbach, Daniel
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Bauer, Andreas
|0 P:(DE-Juel1)131672
|b 7
700 1 _ |a Elmenhorst, Eva‐Maria
|0 0000-0003-0336-6705
|b 8
700 1 _ |a Elmenhorst, David
|0 P:(DE-Juel1)131679
|b 9
|e Corresponding author
773 _ _ |a 10.1002/hbm.24855
|g p. hbm.24855
|0 PERI:(DE-600)1483485-6
|n 4
|p 994-1005
|t Human brain mapping
|v 41
|y 2020
|x 1047-3211
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/862045/files/Li_et_al-2020-Human_Brain_Mapping.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/862045/files/Li_et_al-2020-Human_Brain_Mapping.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:862045
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)174035
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 0000-0001-7457-9172
910 1 _ |a Department of Sleep and Human FactorsResearch, Institute of Aerospace Medicine,German Aerospace Center, Cologne, Germany
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-Juel1)165827
910 1 _ |a Department of Sleep and Human FactorsResearch, Institute of Aerospace Medicine,German Aerospace Center, Cologne, Germany
|0 I:(DE-HGF)0
|b 3
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131691
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)138474
910 1 _ |a Division of Sleep Medicine, Harvard MedicalSchool, Sleep Division, Boston, Massachusetts
|0 I:(DE-HGF)0
|b 6
|6 P:(DE-HGF)0
910 1 _ |a Department of Sleep and Human FactorsResearch, Institute of Aerospace Medicine,German Aerospace Center, Cologne, Germany
|0 I:(DE-HGF)0
|b 6
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)131672
910 1 _ |a Department of Neurology, Medical Faculty,Heinrich-Heine-University Düsseldorf,Düsseldorf, Germany
|0 I:(DE-HGF)0
|b 7
|6 P:(DE-Juel1)131672
910 1 _ |a Department of Sleep and Human FactorsResearch, Institute of Aerospace Medicine,German Aerospace Center, Cologne, Germany
|0 I:(DE-HGF)0
|b 8
|6 0000-0003-0336-6705
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)131679
910 1 _ |a Division of Medical Psychology, RheinischeFriedrich-Wilhelms-University Bonn, Bonn,Germany
|0 I:(DE-HGF)0
|b 9
|6 P:(DE-Juel1)131679
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-573
|2 G:(DE-HGF)POF3-500
|v Neuroimaging
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-571
|2 G:(DE-HGF)POF3-500
|v Connectivity and Activity
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 2
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CEREB CORTEX : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CEREB CORTEX : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-2-20090406
|k INM-2
|l Molekulare Organisation des Gehirns
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-2-20090406
980 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21