Sub-acute stroke demonstrates altered beta oscillation and connectivity pattern in working memory

Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery...

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Published inJournal of neuroengineering and rehabilitation Vol. 21; no. 1; pp. 212 - 12
Main Authors Mao, Lin, Che, Xianwei, Wang, Juehan, Jiang, Xiaorui, Zhao, Yifan, Zou, Liliang, Wei, Shuang, Pan, Shuyi, Guo, Dazhi, Zhu, Xueqiong, Hu, Dongxia, Yang, Xiaofeng, Chen, Zuobing, Wang, Daming
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Published England BioMed Central Ltd 04.12.2024
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Abstract Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances. We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
AbstractList Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke.INTRODUCTIONWorking memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke.This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis.METHODSThis study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis.Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances.RESULTSPatients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances.We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.CONCLUSIONSWe provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
Introduction Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. Methods This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. Results Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances. Conclusions We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery. Keywords: Stroke, Working memory, Prognosis, EEG, Oscillations
Abstract Introduction Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. Methods This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. Results Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances. Conclusions We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated the oscillatory mechanisms of WM in subacute stroke. This study included 48 first subacute stroke patients (26 good-recovery, 22 poor-recovery, based on prognosis after a 4-week period) and 24 matched health controls. We examined the oscillatory characteristics and functional connectivity of the 0-back WM paradigm and assessed their associations with prognosis. Patients of poor recovery are characterised by a loss of significant beta rebound, beta-band connectivity, as well as impaired working memory speed and performances. Meanwhile, patients with good recovery have preserved these capacities to some extent. Our data further identified beta rebound to be closely associated with working memory speed and performances. We provided novel findings that beta rebound and network connectivity as mechanistic evidence of impaired working memory in subacute stroke. These oscillatory features could potentially serve as a biomarker for brain stimulation technologies in stroke recovery.
ArticleNumber 212
Audience Academic
Author Zhao, Yifan
Yang, Xiaofeng
Wang, Daming
Jiang, Xiaorui
Guo, Dazhi
Che, Xianwei
Zou, Liliang
Pan, Shuyi
Zhu, Xueqiong
Wang, Juehan
Hu, Dongxia
Wei, Shuang
Chen, Zuobing
Mao, Lin
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Cites_doi 10.1093/brain/awx001
10.1212/WNL.0000000000001882
10.1016/j.neuroimage.2010.12.077
10.1093/cercor/bhh031
10.1093/braincomms/fcaa161
10.1016/j.neuroimage.2011.02.025
10.1186/s12873-022-00585-w
10.1111/j.1532-5415.2005.53221.x
10.1016/j.jneumeth.2003.10.009
10.1001/jama.2015.6968
10.1016/0022-3956(75)90026-6
10.1016/j.cmpb.2018.06.011
10.1186/s12984-019-0500-5
10.3389/fnhum.2020.00072
10.1523/JNEUROSCI.1778-08.2008
10.1016/j.neuroimage.2005.02.008
10.1161/01.STR.20.7.864
10.1007/s00221-013-3774-z
10.1016/j.ijchp.2022.100343
10.1016/j.brs.2017.10.015
10.1073/pnas.95.12.7092
10.1523/JNEUROSCI.1961-14.2014
10.1523/ENEURO.0489-21.2022
10.1016/j.neuroimage.2012.10.054
10.1080/13803391003596421
10.1016/j.jneumeth.2014.08.002
10.1016/j.neuroimage.2022.119801
10.1016/j.neubiorev.2018.11.013
10.1016/j.neuroimage.2010.06.041
10.1523/ENEURO.0170-17.2017
10.1016/j.jneumeth.2007.03.024
10.1093/cercor/bhv182
10.1007/s11065-020-09462-4
10.1038/s41467-017-02791-8
10.1016/j.neuroimage.2019.116053
10.1016/j.neuroimage.2011.01.055
10.1002/hbm.23189
10.1016/j.nicl.2013.07.003
10.1093/cercor/bhab493
10.1161/STROKEAHA.120.028932
10.1523/JNEUROSCI.21-20-j0008.2001
10.1016/0926-6410(95)00042-9
10.1007/s11517-011-0748-9
10.1016/j.neuron.2016.02.028
10.1155/2011/156869
10.1093/texcom/tgac015
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Issue 1
Keywords Oscillations
Stroke
Prognosis
Working memory
EEG
Language English
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References J Sarnthein (1516_CR40) 1998; 95
A Fry (1516_CR44) 2016; 37
1516_CR30
JK Lindeløv (1516_CR2) 2017; 140
FI Mahoney (1516_CR16) 1965; 14
E Maris (1516_CR24) 2007; 164
JM Cassidy (1516_CR49) 2020; 51
MJ Kas (1516_CR7) 2019; 97
C Tallon-Baudry (1516_CR37) 2004; 14
BC Haatveit (1516_CR17) 2010; 32
M Vinck (1516_CR22) 2011; 55
FJ Fraga (1516_CR35) 2018; 164
NW Bailey (1516_CR28) 2018; 11
1516_CR42
1516_CR43
S Lugtmeijer (1516_CR6) 2021; 31
I Unibaso-Markaida (1516_CR1) 2019; 16
L Sutcliffe (1516_CR12) 2022; 22
A Zalesky (1516_CR27) 2010; 53
NM Dotson (1516_CR39) 2014; 34
1516_CR8
1516_CR5
S Makeig (1516_CR41) 1996; 4
O Jensen (1516_CR47) 2005; 26
SD Muthukumaraswamy (1516_CR48) 2013; 66
X Luo (1516_CR29) 2023; 23
M Lundqvist (1516_CR10) 2018; 9
W Gaetz (1516_CR45) 2011; 55
N Axmacher (1516_CR38) 2008; 28
S Kornblith (1516_CR33) 2016; 26
A Widmann (1516_CR19) 2015; 250
X Che (1516_CR23) 2019; 201
N Smyrnis (1516_CR11) 2014; 232
T Brott (1516_CR13) 1989; 20
SD Hall (1516_CR46) 2011; 56
Y Li (1516_CR26) 2022; 3
M Lundqvist (1516_CR9) 2016; 90
SC Coleman (1516_CR31) 2023; 265
1516_CR25
MF Folstein (1516_CR14) 1975; 12
B Güntekin (1516_CR34) 2013; 3
C Tallon-Baudry (1516_CR36) 2001; 21
1516_CR21
Y Li (1516_CR32) 2022; 3
NE Synhaeve (1516_CR3) 2015; 85
ZS Nasreddine (1516_CR15) 2005; 53
DA Levine (1516_CR4) 2015; 314
A Delorme (1516_CR18) 2004; 134
RJ Korhonen (1516_CR20) 2011; 49
References_xml – volume: 14
  start-page: 61
  issue: 2
  year: 1965
  ident: 1516_CR16
  publication-title: Maryland State Med J
– volume: 140
  start-page: 1100
  issue: 4
  year: 2017
  ident: 1516_CR2
  publication-title: Brain
  doi: 10.1093/brain/awx001
– volume: 85
  start-page: 776
  issue: 9
  year: 2015
  ident: 1516_CR3
  publication-title: Neurology
  doi: 10.1212/WNL.0000000000001882
– volume: 55
  start-page: 616
  issue: 2
  year: 2011
  ident: 1516_CR45
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2010.12.077
– volume: 14
  start-page: 713
  issue: 7
  year: 2004
  ident: 1516_CR37
  publication-title: Cereb Cortex
  doi: 10.1093/cercor/bhh031
– ident: 1516_CR5
  doi: 10.1093/braincomms/fcaa161
– volume: 56
  start-page: 1506
  issue: 3
  year: 2011
  ident: 1516_CR46
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2011.02.025
– volume: 22
  start-page: 29
  issue: 1
  year: 2022
  ident: 1516_CR12
  publication-title: BMC Emerg Med
  doi: 10.1186/s12873-022-00585-w
– volume: 53
  start-page: 695
  issue: 4
  year: 2005
  ident: 1516_CR15
  publication-title: J Am Geriatr Soc
  doi: 10.1111/j.1532-5415.2005.53221.x
– volume: 134
  start-page: 9
  issue: 1
  year: 2004
  ident: 1516_CR18
  publication-title: J Neurosci Methods
  doi: 10.1016/j.jneumeth.2003.10.009
– volume: 314
  start-page: 41
  issue: 1
  year: 2015
  ident: 1516_CR4
  publication-title: Jama-Journal Am Med Association
  doi: 10.1001/jama.2015.6968
– volume: 12
  start-page: 0
  issue: 3
  year: 1975
  ident: 1516_CR14
  publication-title: J Psychiatr Res
  doi: 10.1016/0022-3956(75)90026-6
– volume: 164
  start-page: 1
  year: 2018
  ident: 1516_CR35
  publication-title: Comput Methods Programs Biomed
  doi: 10.1016/j.cmpb.2018.06.011
– volume: 16
  start-page: 1
  year: 2019
  ident: 1516_CR1
  publication-title: J Neuroeng Rehabil
  doi: 10.1186/s12984-019-0500-5
– ident: 1516_CR43
  doi: 10.3389/fnhum.2020.00072
– volume: 28
  start-page: 7304
  issue: 29
  year: 2008
  ident: 1516_CR38
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.1778-08.2008
– volume: 26
  start-page: 347
  issue: 2
  year: 2005
  ident: 1516_CR47
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2005.02.008
– volume: 20
  start-page: 864
  issue: 7
  year: 1989
  ident: 1516_CR13
  publication-title: Stroke
  doi: 10.1161/01.STR.20.7.864
– volume: 232
  start-page: 659
  year: 2014
  ident: 1516_CR11
  publication-title: Exp Brain Res
  doi: 10.1007/s00221-013-3774-z
– volume: 23
  start-page: 100343
  issue: 1
  year: 2023
  ident: 1516_CR29
  publication-title: Int J Clin Health Psychol
  doi: 10.1016/j.ijchp.2022.100343
– volume: 11
  start-page: 190
  issue: 1
  year: 2018
  ident: 1516_CR28
  publication-title: Brain Stimul
  doi: 10.1016/j.brs.2017.10.015
– volume: 95
  start-page: 7092
  issue: 12
  year: 1998
  ident: 1516_CR40
  publication-title: Proc Natl Acad Sci
  doi: 10.1073/pnas.95.12.7092
– volume: 34
  start-page: 13600
  issue: 41
  year: 2014
  ident: 1516_CR39
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.1961-14.2014
– ident: 1516_CR42
  doi: 10.1523/ENEURO.0489-21.2022
– volume: 66
  start-page: 36
  year: 2013
  ident: 1516_CR48
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2012.10.054
– volume: 32
  start-page: 871
  issue: 8
  year: 2010
  ident: 1516_CR17
  publication-title: J Clin Exp Neuropsychol
  doi: 10.1080/13803391003596421
– volume: 250
  start-page: 34
  year: 2015
  ident: 1516_CR19
  publication-title: J Neurosci Methods
  doi: 10.1016/j.jneumeth.2014.08.002
– volume: 265
  start-page: 119801
  year: 2023
  ident: 1516_CR31
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2022.119801
– volume: 97
  start-page: 1
  year: 2019
  ident: 1516_CR7
  publication-title: Neurosci Biobehav Rev
  doi: 10.1016/j.neubiorev.2018.11.013
– volume: 53
  start-page: 1197
  issue: 4
  year: 2010
  ident: 1516_CR27
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2010.06.041
– ident: 1516_CR8
  doi: 10.1523/ENEURO.0170-17.2017
– volume: 164
  start-page: 177
  issue: 1
  year: 2007
  ident: 1516_CR24
  publication-title: J Neurosci Methods
  doi: 10.1016/j.jneumeth.2007.03.024
– volume: 26
  start-page: 3772
  issue: 9
  year: 2016
  ident: 1516_CR33
  publication-title: Cereb Cortex
  doi: 10.1093/cercor/bhv182
– volume: 31
  start-page: 202
  year: 2021
  ident: 1516_CR6
  publication-title: Neuropsychol Rev
  doi: 10.1007/s11065-020-09462-4
– volume: 9
  start-page: 394
  issue: 1
  year: 2018
  ident: 1516_CR10
  publication-title: Nat Commun
  doi: 10.1038/s41467-017-02791-8
– volume: 201
  start-page: 116053
  year: 2019
  ident: 1516_CR23
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2019.116053
– volume: 55
  start-page: 1548
  issue: 4
  year: 2011
  ident: 1516_CR22
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2011.01.055
– volume: 37
  start-page: 2493
  issue: 7
  year: 2016
  ident: 1516_CR44
  publication-title: Hum Brain Mapp
  doi: 10.1002/hbm.23189
– volume: 3
  start-page: 39
  year: 2013
  ident: 1516_CR34
  publication-title: NeuroImage: Clin
  doi: 10.1016/j.nicl.2013.07.003
– ident: 1516_CR30
  doi: 10.1093/cercor/bhab493
– volume: 51
  start-page: 1442
  issue: 5
  year: 2020
  ident: 1516_CR49
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.120.028932
– volume: 21
  start-page: RC177
  issue: 20
  year: 2001
  ident: 1516_CR36
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.21-20-j0008.2001
– volume: 4
  start-page: 15
  issue: 1
  year: 1996
  ident: 1516_CR41
  publication-title: Cogn Brain Res
  doi: 10.1016/0926-6410(95)00042-9
– volume: 49
  start-page: 397
  issue: 4
  year: 2011
  ident: 1516_CR20
  publication-title: Med Biol Eng Comput
  doi: 10.1007/s11517-011-0748-9
– volume: 90
  start-page: 152
  issue: 1
  year: 2016
  ident: 1516_CR9
  publication-title: Neuron
  doi: 10.1016/j.neuron.2016.02.028
– ident: 1516_CR25
  doi: 10.1016/j.neuroimage.2022.119801
– ident: 1516_CR21
  doi: 10.1155/2011/156869
– volume: 3
  start-page: tgac015
  issue: 2
  year: 2022
  ident: 1516_CR32
  publication-title: Cereb Cortex Commun
  doi: 10.1093/texcom/tgac015
– volume: 3
  start-page: tgac015
  issue: 2
  year: 2022
  ident: 1516_CR26
  publication-title: Cereb Cortex Commun
  doi: 10.1093/texcom/tgac015
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Snippet Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study investigated...
Introduction Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG, this study...
Abstract Introduction Working memory (WM) is suggested to play a pivotal role in relearning and neural restoration during stroke rehabilitation. Using EEG,...
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StartPage 212
SubjectTerms Adult
Aged
Beta Rhythm - physiology
Brain - diagnostic imaging
Brain - physiopathology
Care and treatment
Complications and side effects
EEG
Electroencephalography
Female
Health aspects
Humans
Male
Memory, Short-Term - physiology
Middle Aged
Oscillations
Prognosis
Recovery of Function - physiology
Short-term memory
Stroke
Stroke (Disease)
Stroke - complications
Stroke - physiopathology
Stroke Rehabilitation - methods
Working memory
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Title Sub-acute stroke demonstrates altered beta oscillation and connectivity pattern in working memory
URI https://www.ncbi.nlm.nih.gov/pubmed/39633420
https://www.proquest.com/docview/3146521683
https://pubmed.ncbi.nlm.nih.gov/PMC11619298
https://doaj.org/article/ee10b1fd3868493caea375e733b906bc
Volume 21
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