Evidence map›Paper›PMID 35947366›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2022

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 and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Brain-Computer Interface Improves Symptoms of Isolated Focal Laryngeal Dystonia: A Single-Blind Study.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 3 countries.

Kristina SimonyanDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7444-0437
Stefan K EhrlichDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.
Richard AndersenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Jonathan BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, Kansas, USA.
Frank GuentherDepartment of Speech, Language, & Hearing Sciences, Boston University, Boston, Massachusetts, USA.
Mark HallettHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-3180-6811
Matthew A HowardDepartment of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
José Del R MillánDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, USA.
Richard B ReillyCenter 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 SchultzFaculty 03 Mathematics and Computer Science, University of Bremen, Bremen, Germany.
Davide ValerianiDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-9866-0063
Massachusetts Eye and Ear Infirmary · USBoston University · USCalifornia Institute of Technology · USHochschule Bremen · DENational Institutes of Health · USThe University of Texas at Austin · USTrinity College Dublin · IEUniversity of Iowa · USUniversity of Kansas · US

Funding

Voice tremor in spasmodic dysphonia: central mechanisms and treatment responseR01DC012545 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI SIMONYAN, KRISTINA · 2012 to 2021
$5.2M
Adaptive closed-loop brain-computer interface therapeutic intervention in laryngeal dystoniaR01DC019353 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI SIMONYAN, KRISTINA · 2021 to 2025
$1.8M
NIDCD NIH HHS R01 DC012545NIDCD NIH HHS R01 DC019353
6 · The paper itself

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.

Indexed as

Brain-Computer InterfacesDystonic DisordersHumans

Identifiers

PMID35947366
PMCPMC9474652
OpenAlexW4292513316

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.