Literature DB >> 25528403

Bimanual force variability in chronic stroke: with and without visual information.

Nyeonju Kang1, James H Cauraugh2.   

Abstract

Visual information is critical to producing and controlling force output to achieve targeted levels. This study investigated bimanual force control in chronic stroke individuals while manipulating visual information. Nine chronic stroke individuals and nine age-matched controls executed bimanual wrist and finger extension at 5% of maximum voluntary contraction. Bimanual force control outcome measures included: (a) coefficient of variation, (b) approximate entropy, and (c) bimanual coordination. Without visual information, chronic stroke individuals displayed less force variability and more regular force production in comparison to age-matched controls. These findings suggest that chronic stroke individuals depended on visual information during bimanual force execution.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Force Control; Force regularity; Force variability; Stroke; Visual information

Mesh:

Year:  2014        PMID: 25528403     DOI: 10.1016/j.neulet.2014.12.028

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  10 in total

1.  Dynamic bimanual force control in chronic stroke: contribution of non-paretic and paretic hands.

Authors:  Prakruti Patel; Neha Lodha
Journal:  Exp Brain Res       Date:  2019-06-13       Impact factor: 1.972

2.  Complexity of knee extensor torque in patients with frailty syndrome: a cross-sectional study.

Authors:  Bianca Ferdin Carnavale; Elie Fiogbé; Ana Claudia Silva Farche; Aparecida Maria Catai; Alberto Porta; Anielle Cristhine de Medeiros Takahashi
Journal:  Braz J Phys Ther       Date:  2018-12-20       Impact factor: 3.377

3.  Stroke Patients Showed Improvements in Balance in Response to Visual Restriction Exercise.

Authors:  Shima Jandaghi; Nahid Tahan; Alireza Akbarzadeh Baghban; Maryam Zoghi
Journal:  Phys Ther Res       Date:  2021-05-27

4.  Transferring synergies from neuroscience to robotics: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et al.

Authors:  Oliver Brock; Francisco Valero-Cuevas
Journal:  Phys Life Rev       Date:  2016-05-12       Impact factor: 11.025

5.  Effects of Computer-Aided Interlimb Force Coupling Training on Paretic Hand and Arm Motor Control following Chronic Stroke: A Randomized Controlled Trial.

Authors:  Chueh-Ho Lin; Li-Wei Chou; Hong-Ji Luo; Po-Yi Tsai; Fu-Kong Lieu; Shang-Lin Chiang; Wen-Hsu Sung
Journal:  PLoS One       Date:  2015-07-20       Impact factor: 3.240

6.  Effects of online-bandwidth visual feedback on unilateral force control capabilities.

Authors:  Joon Ho Lee; Nyeonju Kang
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

7.  Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force.

Authors:  Pengzhi Zhu; Yuanyu Wu; Jingtao Liang; Yu Ye; Huihua Liu; Tiebin Yan; Rong Song
Journal:  Entropy (Basel)       Date:  2018-05-17       Impact factor: 2.524

8.  Visual feedback improves bimanual force control performances at planning and execution levels.

Authors:  Hyun Joon Kim; Joon Ho Lee; Nyeonju Kang; James H Cauraugh
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

9.  Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery.

Authors:  Qianqian Huang; Dinghong Lin; Shishi Huang; Yungang Cao; Yun Jin; Bo Wu; Linyu Fan; Wenzhan Tu; Lejian Huang; Songhe Jiang
Journal:  Front Neurol       Date:  2022-03-03       Impact factor: 4.003

10.  Age-related deficits in bilateral motor synergies and force coordination.

Authors:  Nyeonju Kang; Lisa M Roberts; Clara Aziz; James H Cauraugh
Journal:  BMC Geriatr       Date:  2019-10-24       Impact factor: 3.921

  10 in total

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