Evidence map›Paper›PMID 37338700›Full record

ReviewAdvances in neurobiology2023

Brain Connectivity in Dystonia: Evidence from Magnetoencephalography.

Deepal Shah-Zamora, Susan Bowyer, Andrew Zillgitt, Christos Sidiropoulos, Abhimanyu Mahajan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Understanding Anxiety in Cervical Dystonia: An Imaging Study.Movement disorders clinical practice · 2024
    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

5 authors at 4 institutions in 1 country.

Deepal Shah-ZamoraDepartment of Neurological Sciences, Rush Parkinson's Disease and Movement Disorders Program, Chicago, IL, USA.
Susan BowyerNeuromagnetism laboratory, Henry Ford Hospital, Detroit, MI, USA.
Andrew ZillgittAdult Epilepsy Program, Department of Neurology, Beaumont Hospital, Royal Oak, MI, USA.
Christos SidiropoulosDivision of Movement disorders, Department of Neurology, Michigan State University, East Lansing, MI, USA.
Abhimanyu MahajanDepartment of Neurological Sciences, Rush Parkinson's Disease and Movement Disorders Program, Chicago, IL, USA. abhimanyu_mahajan@rush.edu.
Rush University · USBeaumont Hospital, Royal Oak · USHenry Ford Hospital · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetoencephalography (MEG) detects synchronized activity within a neuronal network by measuring the magnetic field changes generated by intracellular current flow. Using MEG data, we can quantify brain region networks with similar frequency, phase, or amplitude of activity and thereby identify patterns of functional connectivity seen with specific disorders or disease states. In this review, we examine and summarize MEG-based literature on functional networks in dystonias. Specifically, we inspect literature evaluating the pathogenesis of focal hand dystonia, cervical dystonia, embouchure dystonia, the effects of sensory tricks, treatment with botulinum toxin and deep brain stimulation, and rehabilitation approaches. This review additionally highlights how MEG has potential for application to clinical care of patients with dystonia.

Indexed as

DystoniaDystonic DisordersBrainHumansMagnetoencephalographyCoherenceConnectivityDystoniaImagingMEG

Identifiers

PMID37338700
OpenAlexW4381308414

What OpenQuestion holds

Textmetadata
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.