Literature DB >> 23404723

Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study.

Masahito Mihara1, Noriaki Hattori, Megumi Hatakenaka, Hajime Yagura, Teiji Kawano, Taro Hino, Ichiro Miyai.   

Abstract

BACKGROUND AND
PURPOSE: Despite the findings that motor imagery and execution are supposed to share common neural networks, previous studies using imagery-based rehabilitation have revealed inconsistent results. In the present study, we investigated whether feedback of cortical activities (neurofeedback) using near-infrared spectroscopy could enhance the efficacy of imagery-based rehabilitation in stroke patients.
METHODS: Twenty hemiplegic patients with subcortical stroke received 6 sessions of mental practice with motor imagery of the distal upper limb in addition to standard rehabilitation. Subjects were randomly allocated to REAL and SHAM groups. In the REAL group, cortical hemoglobin signals detected by near-infrared spectroscopy were fed back during imagery. In the SHAM group, irrelevant randomized signals were fed back. Upper limb function was assessed using the finger and arm subscales of the Fugl-Meyer assessment and the Action Research Arm Test.
RESULTS: The hand/finger subscale of the Fugl-Meyer assessment showed greater functional gain in the REAL group, with a significant interaction between time and group (F(2,36)=15.5; P<0.001). A significant effect of neurofeedback was revealed even in severely impaired subjects. Imagery-related cortical activation in the premotor area was significantly greater in the REAL group than in the SHAM group (T(58)=2.4; P<0.05).
CONCLUSIONS: Our results suggest that near-infrared spectroscopy-mediated neurofeedback may enhance the efficacy of mental practice with motor imagery and augment motor recovery in poststroke patients with severe hemiparesis.

Entities:  

Mesh:

Year:  2013        PMID: 23404723     DOI: 10.1161/STROKEAHA.111.674507

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  58 in total

1.  Effects of visual-motor illusion on functional connectivity during motor imagery.

Authors:  Katsuya Sakai; Keisuke Goto; Junpei Tanabe; Kazu Amimoto; Ken Kumai; Hiroyo Kamio; Yumi Ikeda
Journal:  Exp Brain Res       Date:  2021-06-03       Impact factor: 1.972

2.  Feasibility of NIRS-based neurofeedback training in social anxiety disorder: behavioral and neural correlates.

Authors:  Ann-Christin S Kimmig; Thomas Dresler; Justin Hudak; Florian B Haeussinger; Dirk Wildgruber; Andreas J Fallgatter; Ann-Christine Ehlis; Benjamin Kreifelts
Journal:  J Neural Transm (Vienna)       Date:  2018-11-29       Impact factor: 3.575

3.  Task-based neurofeedback training: A novel approach toward training executive functions.

Authors:  S M Hadi Hosseini; Mika Pritchard-Berman; Natasha Sosa; Angelica Ceja; Shelli R Kesler
Journal:  Neuroimage       Date:  2016-03-22       Impact factor: 6.556

Review 4.  Review of functional near-infrared spectroscopy in neurorehabilitation.

Authors:  Masahito Mihara; Ichiro Miyai
Journal:  Neurophotonics       Date:  2016-07-12       Impact factor: 3.593

5.  Hand-grasping and finger tapping induced similar functional near-infrared spectroscopy cortical responses.

Authors:  Nasser H Kashou; Brenna M Giacherio; Ramzi W Nahhas; Sudarshan R Jadcherla
Journal:  Neurophotonics       Date:  2016-06-15       Impact factor: 3.593

Review 6.  [Neurofeedback-based motor imagery training for rehabilitation after stroke].

Authors:  C Dettmers; N Braun; I Büsching; T Hassa; S Debener; J Liepert
Journal:  Nervenarzt       Date:  2016-10       Impact factor: 1.214

7.  How feedback, motor imagery, and reward influence brain self-regulation using real-time fMRI.

Authors:  Pradyumna Sepulveda; Ranganatha Sitaram; Mohit Rana; Cristian Montalba; Cristian Tejos; Sergio Ruiz
Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

Review 8.  The sensory side of post-stroke motor rehabilitation.

Authors:  Nadia Bolognini; Cristina Russo; Dylan J Edwards
Journal:  Restor Neurol Neurosci       Date:  2016-04-11       Impact factor: 2.406

9.  Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.

Authors:  Jennifer Wu; Erin Burke Quinlan; Lucy Dodakian; Alison McKenzie; Nikhita Kathuria; Robert J Zhou; Renee Augsburger; Jill See; Vu H Le; Ramesh Srinivasan; Steven C Cramer
Journal:  Brain       Date:  2015-06-11       Impact factor: 13.501

10.  Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data.

Authors:  Ning Liu; Sarit Cliffer; Anjali H Pradhan; Amy Lightbody; Scott S Hall; Allan L Reiss
Journal:  Neurophotonics       Date:  2016-08-17       Impact factor: 3.593

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