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http://hdl.handle.net/1942/43386
Title: | Toward methodologies for motor imagery enhancement: a tDCS-BCI study | Authors: | Blanco Mora, Diego Andrés VAN HOORNWEDER, Sybren VAN DUN, Kim VERSTRAELEN, Stefanie CUYPERS, Koen Bermúdez i Badia, Sergi MEESEN, Raf |
Issue Date: | 2024 | Publisher: | TAYLOR & FRANCIS LTD | Source: | Brain-Computer Interfaces, , p. 1 | Status: | Early view | Abstract: | Motor imagery (MI) becomes a powerful rehabilitation tool, particularly when combined with brain–computer interfaces (BCI). Therefore, methods to improve MI accuracy are a trending topic in the BCI field. Here, we examined the effects of transcranial direct current stimulation (tDCS) and MI priming on the MI signature in an EEG-based MI-BCI triple-blind study. Thirty healthy younger adults participated in this study and were designated to one of two priming groups: A bimanual tracking task and a MI task as primers for MI-BCI. During the performance of the primer task, participants received anodal and sham tDCS in two randomized sessions with a one-week wash-out period between sessions. Subsequently, participants performed an EEG-driven BCI-MI task. EEG time–frequency analyses revealed that desynchronization of the Beta Region precedes desynchronization in the Alpha Region, implying that the Beta frequency band might be best-suited to extract MI signatures as it could lead to faster MI-BCI. Contrary to our hypotheses, no effect of tDCS or priming task on EEG activity during the BCI-MI task was found. Future research should carefully consider the added value of tDCS and priming tasks BCI performance improvement. Electric field modeling studies and high-definition tDCS motor cortex stimulation might be promising avenues. | Notes: | Mora, DAB (corresponding author), Univ Lisbon, Med Fac, Ave Prof Egas Moniz MB, P-1649028 Lisbon, Portugal. diegoandres@edu.ulisboa.pt |
Keywords: | Motor imagery;tDCS;brain–computer interfaces;EEG;signal processing;neurostimulation | Document URI: | http://hdl.handle.net/1942/43386 | ISSN: | 2326-263X | e-ISSN: | 2326-2621 | DOI: | 10.1080/2326263X.2024.2372863 | ISI #: | WOS:001261623100001 | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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author version.docx | Peer-reviewed author version | 12.61 MB | Microsoft Word | View/Open |
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