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Killian O, Hutchinson M, Reilly R. Neuromodulation in Dystonia - Harnessing the Network. ADVANCES IN NEUROBIOLOGY 2023; 31:177-194. [PMID: 37338702 DOI: 10.1007/978-3-031-26220-3_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Adult-onset isolated focal dystonia (AOIFD) is a network disorder characterised by abnormalities of sensory processing and motor control. These network abnormalities give rise to both the phenomenology of dystonia and the epiphenomena of altered plasticity and loss of intracortical inhibition. Existing modalities of deep brain stimulation effectively modulate parts of this network but are limited both in terms of targets and invasiveness. Novel approaches using a variety of non-invasive neuromodulation techniques including transcranial stimulation and peripheral stimulation present an interesting alternative approach and may, in conjunction with rehabilitative strategies, have a role in tailored therapies targeting the underlying network abnormality behind AOIFD.
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Affiliation(s)
- Owen Killian
- The Dublin Neurological Institute, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Michael Hutchinson
- Department of Neurology, St Vincent's University Hospital, Dublin, Ireland
| | - Richard Reilly
- School of Medicine, Trinity College, The University of Dublin, Dublin, Ireland.
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Simonyan K, Ehrlich SK, Andersen R, Brumberg J, Guenther F, Hallett M, Howard MA, Millán JDR, Reilly RB, Schultz T, Valeriani D. Brain-Computer Interfaces for Treatment of Focal Dystonia. Mov Disord 2022; 37:1798-1802. [PMID: 35947366 PMCID: PMC9474652 DOI: 10.1002/mds.29178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/20/2022] [Accepted: 07/19/2022] [Indexed: 11/12/2022] Open
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.
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Affiliation(s)
- Kristina Simonyan
- 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
| | - Stefan K. Ehrlich
- Department of Otolaryngology–Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA
| | - Richard Andersen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA
| | - Jonathan Brumberg
- Department of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, Kansas, USA
| | - Frank Guenther
- 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
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew A. Howard
- Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - José del R. Millán
- 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
| | - Richard B. Reilly
- 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
| | - Tanja Schultz
- Faculty 03 Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Davide Valeriani
- Department of Otolaryngology–Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA
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Anandan C, Jankovic J. Botulinum Toxin in Movement Disorders: An Update. Toxins (Basel) 2021; 13:toxins13010042. [PMID: 33430071 PMCID: PMC7827923 DOI: 10.3390/toxins13010042] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/30/2020] [Accepted: 01/05/2021] [Indexed: 12/17/2022] Open
Abstract
Since its initial approval in 1989 by the US Food and Drug Administration for the treatment of blepharospasm and other facial spasms, botulinum toxin (BoNT) has evolved into a therapeutic modality for a variety of neurological and non-neurological disorders. With respect to neurologic movement disorders, BoNT has been reported to be effective for the treatment of dystonia, bruxism, tremors, tics, myoclonus, restless legs syndrome, tardive dyskinesia, and a variety of symptoms associated with Parkinson’s disease. More recently, research with BoNT has expanded beyond its use as a powerful muscle relaxant and a peripherally active drug to its potential central nervous system applications in the treatment of neurodegenerative disorders. Although BoNT is the most potent biologic toxin, when it is administered by knowledgeable and experienced clinicians, it is one of the safest therapeutic agents in clinical use. The primary aim of this article is to provide an update on recent advances in BoNT research with a focus on novel applications in the treatment of movement disorders. This comprehensive review of the literature provides a critical review of evidence-based clinical trials and highlights recent innovative pilot studies.
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Atashzar SF, Huang HY, Duca FD, Burdet E, Farina D. Energetic Passivity Decoding of Human Hip Joint for Physical Human-Robot Interaction. IEEE Robot Autom Lett 2020; 5:5953-5960. [DOI: 10.1109/lra.2020.3010459] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
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