Literature DB >> 31802435

Brain-Machine Interface Induced Morpho-Functional Remodeling of the Neural Motor System in Severe Chronic Stroke.

Andrea Caria1,2,3, Josué Luiz Dalboni da Rocha4, Giuseppe Gallitto5, Niels Birbaumer6, Ranganatha Sitaram7,8,9, Ander Ramos Murguialday6,10.   

Abstract

Brain-machine interfaces (BMI) permit bypass motor system disruption by coupling contingent neuroelectric signals related to motor activity with prosthetic devices that enhance afferent and proprioceptive feedback to the somatosensory cortex. In this study, we investigated neural plasticity in the motor network of severely impaired chronic stroke patients after an EEG-BMI-based treatment reinforcing sensorimotor contingency of ipsilesional motor commands. Our structural connectivity analysis revealed decreased fractional anisotropy in the splenium and body of the corpus callosum, and in the contralesional hemisphere in the posterior limb of the internal capsule, the posterior thalamic radiation, and the superior corona radiata. Functional connectivity analysis showed decreased negative interhemispheric coupling between contralesional and ipsilesional sensorimotor regions, and decreased positive intrahemispheric coupling among contralesional sensorimotor regions. These findings indicate that BMI reinforcing ipsilesional brain activity and enhancing proprioceptive function of the affected hand elicits reorganization of contralesional and ipsilesional somatosensory and motor-assemblies as well as afferent and efferent connection-related motor circuits that support the partial re-establishment of the original neurophysiology of the motor system even in severe chronic stroke.

Entities:  

Keywords:  Brain–machine interface; DTI; functional connectivity; motor recovery; stroke

Mesh:

Year:  2020        PMID: 31802435      PMCID: PMC7283440          DOI: 10.1007/s13311-019-00816-2

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  110 in total

1.  Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback.

Authors:  Kai Keng Ang; Cuntai Guan; Karen Sui Geok Chua; Beng Ti Ang; Christopher Kuah; Chuanchu Wang; Kok Soon Phua; Zheng Yang Chin; Haihong Zhang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study.

Authors:  Keiichiro Shindo; Kimiko Kawashima; Junichi Ushiba; Naoki Ota; Mari Ito; Tetsuo Ota; Akio Kimura; Meigen Liu
Journal:  J Rehabil Med       Date:  2011-10       Impact factor: 2.912

3.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

Authors:  Leigh R Hochberg; Mijail D Serruya; Gerhard M Friehs; Jon A Mukand; Maryam Saleh; Abraham H Caplan; Almut Branner; David Chen; Richard D Penn; John P Donoghue
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

4.  Using ipsilateral motor signals in the unaffected cerebral hemisphere as a signal platform for brain-computer interfaces in hemiplegic stroke survivors.

Authors:  David T Bundy; Mark Wronkiewicz; Mohit Sharma; Daniel W Moran; Maurizio Corbetta; Eric C Leuthardt
Journal:  J Neural Eng       Date:  2012-05-22       Impact factor: 5.379

5.  High-performance neuroprosthetic control by an individual with tetraplegia.

Authors:  Jennifer L Collinger; Brian Wodlinger; John E Downey; Wei Wang; Elizabeth C Tyler-Kabara; Douglas J Weber; Angus J C McMorland; Meel Velliste; Michael L Boninger; Andrew B Schwartz
Journal:  Lancet       Date:  2012-12-17       Impact factor: 79.321

6.  Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke.

Authors:  Ethan Buch; Cornelia Weber; Leonardo G Cohen; Christoph Braun; Michael A Dimyan; Tyler Ard; Jurgen Mellinger; Andrea Caria; Surjo Soekadar; Alissa Fourkas; Niels Birbaumer
Journal:  Stroke       Date:  2008-02-07       Impact factor: 7.914

7.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.

Authors:  Leigh R Hochberg; Daniel Bacher; Beata Jarosiewicz; Nicolas Y Masse; John D Simeral; Joern Vogel; Sami Haddadin; Jie Liu; Sydney S Cash; Patrick van der Smagt; John P Donoghue
Journal:  Nature       Date:  2012-05-16       Impact factor: 49.962

8.  Changes in functional brain organization and behavioral correlations after rehabilitative therapy using a brain-computer interface.

Authors:  Brittany M Young; Zack Nigogosyan; Léo M Walton; Jie Song; Veena A Nair; Scott W Grogan; Mitchell E Tyler; Dorothy F Edwards; Kristin Caldera; Justin A Sattin; Justin C Williams; Vivek Prabhakaran
Journal:  Front Neuroeng       Date:  2014-07-15

9.  Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device.

Authors:  Brittany Mei Young; Zack Nigogosyan; Alexander Remsik; Léo M Walton; Jie Song; Veena A Nair; Scott W Grogan; Mitchell E Tyler; Dorothy Farrar Edwards; Kristin Caldera; Justin A Sattin; Justin C Williams; Vivek Prabhakaran
Journal:  Front Neuroeng       Date:  2014-07-08

10.  Brain-Computer Interface Training after Stroke Affects Patterns of Brain-Behavior Relationships in Corticospinal Motor Fibers.

Authors:  Brittany M Young; Julie M Stamm; Jie Song; Alexander B Remsik; Veena A Nair; Mitchell E Tyler; Dorothy F Edwards; Kristin Caldera; Justin A Sattin; Justin C Williams; Vivek Prabhakaran
Journal:  Front Hum Neurosci       Date:  2016-09-16       Impact factor: 3.169

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  2 in total

1.  An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation.

Authors:  Lei Cao; Shugeng Chen; Jie Jia; Chunjiang Fan; Haoran Wang; Zhixiong Xu
Journal:  Front Neurosci       Date:  2021-01-28       Impact factor: 4.677

2.  Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System.

Authors:  Wenlin Sun; Yujun Qi; Yang Sun; Tiantian Zhao; Xiaoyong Su; Yang Liu
Journal:  J Healthc Eng       Date:  2021-03-17       Impact factor: 2.682

  2 in total

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