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Assessment and Communication for People with Disorders of Consciousness
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Feasibility of Using Source-Level Brain Computer Interface for People with Multiple Sclerosis.

John S Russo, Mukul Chodhary, Myrte Strik

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study shows Brain-Computer Interfaces (BCI) are feasible for Multiple Sclerosis (MS) patients. Source-level EEG analysis revealed distinct brain activity patterns, suggesting potential for tailored BCI applications in MS.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering

    Background:

    • Multiple Sclerosis (MS) can impair motor function, necessitating alternative communication and control methods.
    • Brain-Computer Interfaces (BCI) offer potential for individuals with neurological conditions to interact with technology.
    • Source-level analysis of electroencephalography (EEG) provides deeper insights into neural activity during cognitive tasks.

    Purpose of the Study:

    • To evaluate the feasibility of source-level Brain-Computer Interface (BCI) application for individuals with Multiple Sclerosis (MS).
    • To investigate brain activity patterns during motor imagery tasks in an MS participant compared to neurotypical controls.

    Main Methods:

    • Utilized previously collected EEG data from one MS participant and seven neurotypical controls.
    • Performed imagined right and left hand movements.
    • Applied equivalent current dipole cluster fitting for source-level brain activity assessment.
    • Analyzed dipole location and power spectrum.

    Main Results:

    • Dipole clusters were identified in motor cortices, with spatial differences noted between MS and control participants.
    • Neural sources for motor imagery were comparable in the MS participant and controls.
    • Reduced alpha power was observed in the MS participant during imagery tasks.
    • Beta band power showed potential for differentiating left and right imagined movements in MS users.

    Conclusions:

    • Source-level BCI is feasible for individuals with MS.
    • Cortical activation patterns during imagined BCI tasks are demonstrated in an MS participant.
    • This study serves as a proof of concept for adapting BCI research for MS patients.