Mu down regulation EEG-neurofeedback training combined to motor imagery facilitates early consolidation in a sequential finger tapping task

被引：0

作者：

Hanna, Mira ^{[1
,2
]}

Kobaïter Maarrawi, Sandra ^{[1
,2
]}

Abdul Malak, Rami ^{[1
]}

Bou Merhy, Rose Mery ^{[2
]}

Maarrawi, Joseph ^{[1
,3
]}

机构：

[1] Laboratory of Research in Neuroscience (LAREN), Pôle Technologie Santé (PTS), Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon

[2] Institute of Psychomotor Therapy (IPM), Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon

[3] Department of Neurosurgery, Hôtel-Dieu de France University Medical Center, Beirut, Lebanon

来源：

Journal of Neural Engineering | 2024年 / 21卷 / 06期

关键词：

Objective. Motor imagery (MI) has demonstrated positive effects on motor performance and triggers activation in the motor cortex (MC). EEG-Neurofeedback (EEG-NF) is a neuromodulation technique that provides real-time feedback on one’s brain activity; enabling self-regulation of brain states. While there is increasing evidence of humans controlling the activity of various brain networks; including the MC; through EEG-NF; the tangible benefits of this self-regulation on motor performance remain uncertain. This study investigates the potential benefits of EEG-NF training in explicit learning of a sequential movement; in comparison to MI training and to a combined EEG-NF and MI training. Approach. Ninety-one right-handed healthy adults were randomly assigned to one of four groups (a)NF(n = 24); (b)MI(n; 22); (c)MI + NF(n = 23) and (d)control(n = 22). Participants performed a sequential finger tapping task before and after (immediately; 20 min and 24 h) a single 30 min training session. Motor performance; movement speed and event related desynchronization data were analyzed. Main results. MI training led to a better motor performance compared to control condition immediately after training that was sustained at the 20 min retest time point (p = 0.02 and 0.05). In contrast; EEG-NF training alone did not yield better motor performance compared to control condition at any time-point (p > .05). Remarkably; only the combination of both trainings led to superior motor performance 24 h after training in comparison to control group (p = 0.02). Additionally; all experimental groups successfully decreased mu rhythm amplitude throughout most of the training. Significance. Combined EEG-NF and MI training appears particularly promising for enhancing motor consolidation holding the potential to advance rehabilitation approaches. © 2024 The Author(s). Published by IOP Publishing Ltd;

D O I：

10.1088/1741-2552/ad8efb

中图分类号：

学科分类号：

摘要：

引用

共 6 条

[1] The functional alterations associated with motor imagery training: a comparison between motor execution and motor imagery of sequential finger tapping
Zhang, Hang
Yao, Li
Long, Zhiying
MEDICAL IMAGING 2011: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2011, 7965
[2] Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation
Nan, Wenya
Yang, Limin
Wan, Feng
Zhu, Frank
Hu, Yong
JOURNAL OF NEURAL ENGINEERING, 2020, 17 (02)
[3] Anodal transcranial direct current stimulation enhances the effects of motor imagery training in a finger tapping task
Saimpont, Arnaud
Mercier, Catherine
Malouin, Francine
Guillot, Aymeric
Collet, Christian
Doyon, Julien
Jackson, Philip L.
EUROPEAN JOURNAL OF NEUROSCIENCE, 2016, 43 (01) : 113 - 119
[4] Anodal transcranial direct current stimulation does not enhance the effects of motor imagery training of a sequential finger-tapping task in young adults
Muller, Camille O.
Metais, Angele
Boublay, Nawale
Breuil, Caroline
Deligault, Sebastien
Di Rienzo, Franck
Guillot, Aymeric
Collet, Christian
Krolak-Salmon, Pierre
Saimpont, Arnaud
JOURNAL OF SPORTS SCIENCES, 2024, 42 (05) : 392 - 403
[5] Anodal tDCS does not enhance the learning of the sequential finger-tapping task by motor imagery practice in healthy older adults
Metais, Angele
Muller, Camille O.
Boublay, Nawale
Breuil, Caroline
Guillot, Aymeric
Daligault, Sebastien
Di Rienzo, Franck
Collet, Christian
Krolak-Salmon, Pierre
Saimpont, Arnaud
FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
[6] IMPACT OF 1D AND 2D VISUALISATION ON EEG-FMRI NEUROFEEDBACK TRAINING DURING A MOTOR IMAGERY TASK
Cury, Claire
Lioi, Giulia
Perronnet, Lorraine
Lecuyer, Anatole
Maurel, Pierre
Barillot, Christian
2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 1018 - 1021

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