Defining research priorities in dystonia

Codrin Lungu1, Laurie Ozelius2, David Standaert2

  • 1From the Division of Clinical Research (C.L.), National Institute of Neurological Disorders and Stroke, National Institutes of Health; Harvard Medical School (L.O., N.S.), Massachusetts General Hospital, Boston, MA; University of Alabama, Birmingham (D.S.), Birmingham, AL; Medical Neurology Branch (M.H.), NINDS, NIH, Bethesda, MD; Division of Neuroscience (B.-A.S., C.S.-F.), NINDS, NIH, Bethesda, MD; Department of Neurology (B.D.B.), University of Colorado Denver, Aurora, CO; Duke University School of Medicine, Durham, NC; RUCDR/Infinite Biologics (J.C.M.), Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ; Washington University School of Medicine (J.S.P.), St Louis, MO; Department of Neurology (S.E.P.R.), University of New Mexico Health Sciences Center, Albuquerque, NM; Department of Neurology (R.S.-P.), Icahn School of Medicine at Mount Sinai, New York, NY; Coriell Institute for Medical Research (L.S.), Camden, NJ; Department of Neuroscience (R.S.), Baylor College of Medicine, Houston, TX; Harvard Medical School (K.S.), Department of Otolaryngology, Head and Neck Surgery, Massachusetts Eye and Ear Institute, Boston, MA; Department of Neurological Surgery (P.A.S.), University of California San Francisco, San Francisco, CA; Division of Extramural Activities (A.T.), NINDS, NIH, Rockville, MD; and Department of Neurology (J.V.), University of Minnesota, Minneapolis, MN. lunguci@ninds.nih.gov.

Neurology
|February 27, 2020
PubMed
Summary

Dystonia research faces challenges due to its complexity. Prioritizing data integration, advanced models, and circuit-level interventions is crucial for developing effective therapies for this movement disorder.

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