Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke

In this study we documented brain connectivity associated with multisensory integration during wrist control in healthy young adults, aged matched controls and stroke survivors. A novel functional MRI task paradigm involving wrist movement was developed to gain insight into the effects of multimodal...

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Main Authors: Benjamin T. Kalinosky, Kaleb Vinehout, Miguel R. Sotelo, Allison S. Hyngstrom, Brian D. Schmit
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.00609/full
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spelling doaj-fb9803b358ff4671a69205df6e777a8f2020-11-25T01:58:51ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-06-011010.3389/fneur.2019.00609454232Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After StrokeBenjamin T. Kalinosky0Kaleb Vinehout1Miguel R. Sotelo2Allison S. Hyngstrom3Brian D. Schmit4Integrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United StatesIntegrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United StatesIntegrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United StatesIntegrative Neural Engineering and Rehabilitation Laboratory, Department of Physical Therapy, Marquette University, Milwaukee, WI, United StatesIntegrative Neural Engineering and Rehabilitation Laboratory, Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United StatesIn this study we documented brain connectivity associated with multisensory integration during wrist control in healthy young adults, aged matched controls and stroke survivors. A novel functional MRI task paradigm involving wrist movement was developed to gain insight into the effects of multimodal sensory feedback on brain functional networks in stroke participants. This paradigm consisted of an intermittent position search task using the wrist during fMRI signal acquisition with visual and auditory feedback of proximity to a target position. We enrolled 12 young adults, 10 participants with chronic post-stroke hemiparesis, and nine age-matched controls. Activation maps were obtained, and functional connectivity networks were calculated using an independent component analysis (ICA) approach. Task-based networks were identified using activation maps, and nodes were obtained from the ICA components. These nodes were subsequently used for connectivity analyses. Stroke participants demonstrated significantly greater contralesional activation than controls during the visual feedback condition and less ipsilesional activity than controls during the auditory feedback condition. The sensorimotor component obtained from the ICA differed between rest and task for control and stroke participants: task-related lateralization to the contralateral cortex was observed in controls, but not in stroke participants. Connectivity analyses between the lesioned sensorimotor cortex and the contralesional cerebellum demonstrated decreased functional connectivity in stroke participants (p < 0.005), which was positively correlated the Box and Blocks arm function test (r2 = 0.59). These results suggest that task-based functional connectivity provides detail on changes in brain networks in stroke survivors. The data also highlight the importance of cerebellar connections for recovery of arm function after stroke.https://www.frontiersin.org/article/10.3389/fneur.2019.00609/fullstrokefunctional connectivityupper limbsensory integrationtask based approach
collection DOAJ
language English
format Article
sources DOAJ
author Benjamin T. Kalinosky
Kaleb Vinehout
Miguel R. Sotelo
Allison S. Hyngstrom
Brian D. Schmit
spellingShingle Benjamin T. Kalinosky
Kaleb Vinehout
Miguel R. Sotelo
Allison S. Hyngstrom
Brian D. Schmit
Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
Frontiers in Neurology
stroke
functional connectivity
upper limb
sensory integration
task based approach
author_facet Benjamin T. Kalinosky
Kaleb Vinehout
Miguel R. Sotelo
Allison S. Hyngstrom
Brian D. Schmit
author_sort Benjamin T. Kalinosky
title Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
title_short Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
title_full Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
title_fullStr Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
title_full_unstemmed Tasked-Based Functional Brain Connectivity in Multisensory Control of Wrist Movement After Stroke
title_sort tasked-based functional brain connectivity in multisensory control of wrist movement after stroke
publisher Frontiers Media S.A.
series Frontiers in Neurology
issn 1664-2295
publishDate 2019-06-01
description In this study we documented brain connectivity associated with multisensory integration during wrist control in healthy young adults, aged matched controls and stroke survivors. A novel functional MRI task paradigm involving wrist movement was developed to gain insight into the effects of multimodal sensory feedback on brain functional networks in stroke participants. This paradigm consisted of an intermittent position search task using the wrist during fMRI signal acquisition with visual and auditory feedback of proximity to a target position. We enrolled 12 young adults, 10 participants with chronic post-stroke hemiparesis, and nine age-matched controls. Activation maps were obtained, and functional connectivity networks were calculated using an independent component analysis (ICA) approach. Task-based networks were identified using activation maps, and nodes were obtained from the ICA components. These nodes were subsequently used for connectivity analyses. Stroke participants demonstrated significantly greater contralesional activation than controls during the visual feedback condition and less ipsilesional activity than controls during the auditory feedback condition. The sensorimotor component obtained from the ICA differed between rest and task for control and stroke participants: task-related lateralization to the contralateral cortex was observed in controls, but not in stroke participants. Connectivity analyses between the lesioned sensorimotor cortex and the contralesional cerebellum demonstrated decreased functional connectivity in stroke participants (p < 0.005), which was positively correlated the Box and Blocks arm function test (r2 = 0.59). These results suggest that task-based functional connectivity provides detail on changes in brain networks in stroke survivors. The data also highlight the importance of cerebellar connections for recovery of arm function after stroke.
topic stroke
functional connectivity
upper limb
sensory integration
task based approach
url https://www.frontiersin.org/article/10.3389/fneur.2019.00609/full
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