Literature DB >> 34292446

Application of fMRI and Simultaneous fMRI-EEG Neurofeedback in Post-Stroke Motor Rehabilitation.

D D Bezmaternykh1,2, K V Kalgin2, P E Maximova1, M Ye Mel'nikov3, E D Petrovskii4, E V Predtechenskaya2, A A Savelov4, A A Semenikhina2, T N Tsaplina1, M B Shtark1, A V Shurunova2.   

Abstract

This article discusses the contribution of fMRI- and fMRI-EEG-neurofeedback into recovery of motor function in two subacute stroke patients during the early post-stroke period. Premotor and supplementary motor zones of the cortex were chosen as the targets of voluntary control. Patient 1 received 6 sessions of motor imagery-based fMRI neurofeedback of secondary motor areas activity and Patient 2 received a similar course with the addition of μ- and β-EEG activity suppression. Both reduced the motor deficit severity, improved on the quality of life, and increased the C3/C4 coherence to other central leads within EEG μ-band. Patient 1 reliably increased the fMRI signal in target areas and improved on the strength and speed of hand movements. Patient 2 (fMRI-EEG) mastered the EEG activity regulation to a greater degree. The authors conclude that pure fMRI neurofeedback and bi-modal fMRI-EEG neurofeedback produce different clinical effects in motor rehabilitation, which confirms the prospect of the closed-loop stroke treatment.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  EEG μ band; fMRI neurofeedback; ischemic stroke; motor imagery; supplementary motor area

Mesh:

Year:  2021        PMID: 34292446     DOI: 10.1007/s10517-021-05232-1

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  6 in total

1.  Dynamics of Interactions between Cerebral Networks Derived from fMRI Data and Motor Rehabilitation during Stokes.

Authors:  A A Savelov; M B Shtark; L I Kozlova; E G Verevkin; E D Petrovskii; M A Pokrovskii; P D Rudych; G M Tsyrkin
Journal:  Bull Exp Biol Med       Date:  2019-01-09       Impact factor: 0.804

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

Authors:  Masahito Mihara; Noriaki Hattori; Megumi Hatakenaka; Hajime Yagura; Teiji Kawano; Taro Hino; Ichiro Miyai
Journal:  Stroke       Date:  2013-02-12       Impact factor: 7.914

3.  Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study.

Authors:  Ranganatha Sitaram; Ralf Veit; Birte Stevens; Andrea Caria; Christian Gerloff; Niels Birbaumer; Friedhelm Hummel
Journal:  Neurorehabil Neural Repair       Date:  2011-09-08       Impact factor: 3.919

4.  Improving Motor Corticothalamic Communication After Stroke Using Real-Time fMRI Connectivity-Based Neurofeedback.

Authors:  Sook-Lei Liew; Mohit Rana; Sonja Cornelsen; Marcos Fortunato de Barros Filho; Niels Birbaumer; Ranganatha Sitaram; Leonardo G Cohen; Surjo R Soekadar
Journal:  Neurorehabil Neural Repair       Date:  2015-12-14       Impact factor: 3.919

5.  A Multi-Target Motor Imagery Training Using Bimodal EEG-fMRI Neurofeedback: A Pilot Study in Chronic Stroke Patients.

Authors:  Giulia Lioi; Simon Butet; Mathis Fleury; Elise Bannier; Anatole Lécuyer; Isabelle Bonan; Christian Barillot
Journal:  Front Hum Neurosci       Date:  2020-02-18       Impact factor: 3.169

6.  Brain Functional Networks Study of Subacute Stroke Patients With Upper Limb Dysfunction After Comprehensive Rehabilitation Including BCI Training.

Authors:  Qiong Wu; Zan Yue; Yunxiang Ge; Di Ma; Hang Yin; Hongliang Zhao; Gang Liu; Jing Wang; Weibei Dou; Yu Pan
Journal:  Front Neurol       Date:  2020-01-27       Impact factor: 4.003

  6 in total

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