Brain–Computer Interfaces for Treatment of Focal Dystonia,Movement Disorders

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Brain–Computer Interfaces for Treatment of Focal Dystonia
Movement Disorders ( IF 7.4 ) Pub Date : 2022-08-10 , DOI: 10.1002/mds.29178
Kristina Simonyan _{1,

2} , Stefan K Ehrlich ₁ , Richard Andersen ₃ , Jonathan Brumberg ₄ , Frank Guenther _{5,

6,

7,

8} , Mark Hallett ₉ , Matthew A Howard ₁₀ , José Del R Millán _{11,

12} , Richard B Reilly ₁₃ , Tanja Schultz ₁₄ , Davide Valeriani ₁

Affiliation

Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.
Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Department of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, Kansas, USA.
Department of Speech, Language, & Hearing Sciences, Boston University, Boston, Massachusetts, USA.
Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, USA.
Department of Neurology, University of Texas at Austin, Austin, Texas, USA.
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.
Faculty 03 Mathematics and Computer Science, University of Bremen, Bremen, Germany.

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.

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