Brain-Computer Interfaces for Treatment of Focal Dystonia

Kristina Simonyan; Stefan K Ehrlich; Richard Andersen; Jonathan Brumberg; Frank Guenther; Mark Hallett; Matthew A Howard; José Del R Millán; Richard B Reilly; Tanja Schultz; Davide Valeriani

doi:10.1002/mds.29178

Brain-Computer Interfaces for Treatment of Focal Dystonia

Mov Disord. 2022 Sep;37(9):1798-1802. doi: 10.1002/mds.29178. Epub 2022 Aug 10.

Authors

Kristina Simonyan^{1

2}, Stefan K Ehrlich¹, Richard Andersen³, Jonathan Brumberg⁴, Frank Guenther^{5

6

7

8}, Mark Hallett⁹, Matthew A Howard¹⁰, José Del R Millán^{11

12}, Richard B Reilly¹³, Tanja Schultz¹⁴, Davide Valeriani¹

Affiliations

¹ Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.
² Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
³ Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
⁴ Department of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, Kansas, USA.
⁵ Department of Speech, Language, & Hearing Sciences, Boston University, Boston, Massachusetts, USA.
⁶ Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
⁷ Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
⁸ Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
⁹ Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
¹⁰ Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
¹¹ Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, USA.
¹² Department of Neurology, University of Texas at Austin, Austin, Texas, USA.
¹³ Center for Biomedical Engineering, Trinity College Institute of Neuroscience, School of Medicine, School of Engineering, Trinity College Dublin and the University of Dublin, Dublin, Ireland.
¹⁴ Faculty 03 Mathematics and Computer Science, University of Bremen, Bremen, Germany.

Abstract

Task-specificity in isolated focal dystonias is a powerful feature that may successfully be targeted with therapeutic brain-computer interfaces. While performing a symptomatic task, the patient actively modulates momentary brain activity (disorder signature) to match activity during an asymptomatic task (target signature), which is expected to translate into symptom reduction.

Brain-Computer Interfaces for Treatment of Focal Dystonia

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