The plasticity of intrinsic functional connectivity patterns associated with rehabilitation intervention in chronic stroke patients

Zheng, Xinqian; Sun, Limin; Yin, Dazhi; Jia, Jie; Zhao, Zhiyong; Jiang, Youen; Wang, Xiangmin; Wu, Jie; Gong, Jiayu; Fan, Mingxia

doi:10.1007/s00234-016-1647-4

Cited by 43 publications

(55 citation statements)

References 45 publications

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“…Our connectivity analysis revealed dysfunction after subcortical lesions in the motor network. The most consistent finding in previous resting‐state studies is that patients with motor impairment after stroke show decreased interhemispheric connectivity of the ipsilesional M1 with the contralesional SMC (Park et al, ; Zheng et al, ). Compared to our previous M1‐based resting‐state FC study (Yin et al, ), although both studies enrolled stroke patients with a similar left motor pathway dysfunction, the FC changes in the pattern of the MN are somewhat different, which is possibly due to the adoption of different FC analysis methods.…”

Section: Discussionsupporting

confidence: 69%

Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke

Zhao

Fan

et al. 2018

Human Brain Mapping

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Motor functions are supported through functional integration across the extended motor system network. Individuals following stroke often show deficits on motor performance requiring coordination of multiple brain networks; however, the assessment of connectivity patterns after stroke was still unclear. This study aimed to investigate the changes in intra- and inter-network functional connectivity (FC) of multiple networks following stroke and further correlate FC with motor performance. Thirty-three left subcortical chronic stroke patients and 34 healthy controls underwent resting-state functional magnetic resonance imaging. Eleven resting-state networks were identified via independent component analysis (ICA). Compared with healthy controls, the stroke group showed abnormal FC within the motor network (MN), visual network (VN), dorsal attention network (DAN), and executive control network (ECN). Additionally, the FC values of the ipsilesional inferior parietal lobule (IPL) within the ECN were negatively correlated with the Fugl-Meyer Assessment (FMA) scores (hand + wrist). With respect to inter-network interactions, the ipsilesional frontoparietal network (FPN) decreased FC with the MN and DAN; the contralesional FPN decreased FC with the ECN, but it increased FC with the default mode network (DMN); and the posterior DMN decreased FC with the VN. In sum, this study demonstrated the coexistence of intra- and inter-network alterations associated with motor-visual attention and high-order cognitive control function in chronic stroke, which might provide insights into brain network plasticity following stroke.

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Section: Discussionsupporting

confidence: 69%

Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke

Zhao

Fan

et al. 2018

Human Brain Mapping

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“…A large number of studies had demonstrated the decreased FC between the bilateral M1s in patients following subcortical stroke (Grefkes et al, 2008; Park et al, 2011; Li Y. et al, 2016; Zheng et al, 2016), which were in line with our findings. Patients with subcortical stroke showed abnormalities in both function and structure (Zhang et al, 2016).…”

Section: Discussionsupporting

confidence: 92%

“…One research from Li Y. et al (2016), who also performed the rsFC analysis of stroke patients after 1-month antiplatelet treatment, showed that the enhanced FC between the bilateral M1s after treatment following the motor function recovery and daily living abilities. Another two recent studies on the change of FC between the bilateral M1s after 4-week rehabilitation intervention in chronic stroke patients exhibited the same result (Fan et al, 2015; Zheng et al, 2016). Based on these previous studies, we can see that the adequate rehabilitation treatment could accelerate the recovery process in stroke patients, and the enhanced M1-M1 rsFC had been closely associated with motor function recovery (van Meer et al, 2012; Yin et al, 2012).…”

Section: Discussionsupporting

confidence: 53%

Enhanced Functional Connectivity between the Bilateral Primary Motor Cortices after Acupuncture at Yanglingquan (GB34) in Right-Hemispheric Subcortical Stroke Patients: A Resting-State fMRI Study

Ning

et al. 2017

Front. Hum. Neurosci.

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Increasing neuroimaging researches in stroke rehabilitation had revealed the neural mechanisms of rehabilitation therapy. However, little was known about the neural mechanisms of acupuncture therapy in subcortical stroke patients. The aim of this study was to investigate the changes of functional connectivity (FC) between the bilateral primary motor cortices (M1s) after acupuncture intervention in right subcortical stroke patients. Twenty right-hemispheric subcortical stroke patients and 20 healthy subjects were recruited to undergo one functional magnetic resonance imaging (fMRI) scanning. The scanning consisted of resting-state fMRI before and after needling at Yanglinquan (GB34), and task-evoked fMRI. The most significant active point during the left passive thumb-to-index task was chosen as the seed point. The seed-based FC analysis of the bilateral M1s was performed. Stroke patients revealed decreased FC between the bilateral M1s compared with healthy subjects, and the decreased FC was significantly enhanced after acupuncture at GB34. Acupuncture could increase the intrinsically decreased FC between the bilateral M1s which provided further insight into the neural mechanisms of acupuncture for motor function recovery in stroke patients.

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“…[Insert Table 2 here] Of the training-related change studies, only one utilized EEG (Wu et al, 2015), whereas the remainder used the fMRI technique (Bajaj et al, 2015a, b;Fan et al, 2015; https://mc.manuscriptcentral.com/revneuro Neurosciences 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 F o r P r e v i e w O n l y 10 Laney et Lazaridou et al, 2013;Varkuti et al, 2013;Wadden et al, 2015;Zhang et al, 2016;Zheng et al, 2016).…”

Section: Training Studiesmentioning

confidence: 99%

Dynamics of brain connectivity after stroke

Desowska

Turner

2019

Reviews in the Neurosciences

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Recovery from a stroke is a dynamic time-dependent process, in which the central nervous system reorganises to accommodate for the impact of the injury. The purpose of this paper is to review recent longitudinal studies of changes in brain connectivity after stroke. A systematic review of research papers reporting functional or effective connectivity at two or more time points in stroke patients was conducted. Stroke leads to an early reduction of connectivity in the motor network. With recovery time, the connectivity increases and can reach the same levels as in healthy participants. The increase in connectivity is correlated with functional motor gains. A new, more randomised pattern of connectivity may then emerge in the longer term. In some instances, a pattern of increased connectivity even higher than in healthy controls can be observed, and is related either to a specific time point or to a specific neural structure. Rehabilitation interventions can help improve connectivity between specific regions. Moreover, motor network connectivity undergoes reorganisation during recovery from a stroke and can be related to behavioural recovery. A detailed analysis of changes in connectivity pattern may enable a better understanding of adaptation to a stroke and how compensatory mechanisms in the brain may be supported by rehabilitation.

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The plasticity of intrinsic functional connectivity patterns associated with rehabilitation intervention in chronic stroke patients

Abstract: The impact of rehabilitation intervention on intrinsic functional connectivity patterns throughout the brain was measurable on resting-state fMRI, and systematic assessment of resting-state functional connectivity can provide prognostic insight for later motor improvement.

Cited by 43 publications

References 45 publications

Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke

Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke

Enhanced Functional Connectivity between the Bilateral Primary Motor Cortices after Acupuncture at Yanglingquan (GB34) in Right-Hemispheric Subcortical Stroke Patients: A Resting-State fMRI Study

Dynamics of brain connectivity after stroke

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