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<b>Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation</b> <b>(EEG Data)</b>

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NIAID Data Ecosystem2026-05-02 收录
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A detailed description of the study is available here. Please cite the following article when using this data. Published manuscript: OverviewElectroencephalography (EEG) data from eight participants with various symptoms of MS and ten neurotypical control participants. Participants made imagined movements of the hands and feet as directed by a go no-go protocol. ParticipantsThis experiment was approved by The University of Melbourne Human Research Ethics Committee (HREC ID: 1748801 for shared data and HREC ID: 26070 for newly collected data). Electroencephalography (EEG) data from seven right-handed neurotypical control participants (five male and two female) aged 20-23 years old (S1-S7) and one participant diagnosed with MS aged 60 years old (P1) were collected previously (Shiels et al., 2018). Newly collected EEG data were recorded from four neurotypical control participants (three male and one female) aged 27-30 years old (S8-S11) and seven participants with diagnosed MS (two male and six female) aged 25-60 years old (P2-P7). Each MS participant experienced individual symptoms, which are summarized in Table 1 (see published manuscript: ). Note that the type of MS for P1 was not recorded in the previous data collection. The expanded disability status scale was unknown for all participants expect P5, who reported a value of 4. ContactIf you have any questions, please contact John at russoj1@student.unimelb.edu.au.

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2024-07-10
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