Evidence map›Paper›PMID 39143114›Full record

ReviewNPJ Parkinson's disease2024

Multimodal neuroimaging to characterize symptom-specific networks in movement disorders.

Elizabeth G Ellis, Garance M Meyer, Valtteri Kaasinen, Daniel T Corp, Nicola Pavese, Martin M Reich, Juho Joutsa

Abstract readReview
In one paragraph

Review in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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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

7 authors.

Elizabeth G EllisTurku Brain and Mind Center, University of Turku, Turku, Finland. elizabeth.ellis@utu.fi.ORCID http://orcid.org/0000-0001-7977-6693
Garance M MeyerCenter for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
Valtteri KaasinenClinical Neurosciences, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0002-3446-7093
Daniel T CorpTurku Brain and Mind Center, University of Turku, Turku, Finland.
Nicola PaveseInstitute of Clinical Medicine, Department of Nuclear Medicine & PET, Aarhus University, Aarhus, Denmark.
Martin M ReichDepartment of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany.ORCID http://orcid.org/0000-0001-9115-5136
Juho JoutsaTurku Brain and Mind Center, University of Turku, Turku, Finland. jtjout@utu.fi.ORCID http://orcid.org/0000-0002-3457-9415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement disorders, such as Parkinson's disease, essential tremor, and dystonia, are characterized by their predominant motor symptoms, yet diseases causing abnormal movement also encompass several other symptoms, including non-motor symptoms. Here we review recent advances from studies of brain lesions, neuroimaging, and neuromodulation that provide converging evidence on symptom-specific brain networks in movement disorders. Although movement disorders have traditionally been conceptualized as disorders of the basal ganglia, cumulative data from brain lesions causing parkinsonism, tremor and dystonia have now demonstrated that this view is incomplete. Several recent studies have shown that lesions causing a given movement disorder occur in heterogeneous brain locations, but disrupt common brain networks, which appear to be specific to each motor phenotype. In addition, findings from structural and functional neuroimaging in movement disorders have demonstrated that brain abnormalities extend far beyond the brain networks associated with the motor symptoms. In fact, neuroimaging findings in each movement disorder are strongly influenced by the constellation of patients' symptoms that also seem to map to specific networks rather than individual anatomical structures or single neurotransmitters. Finally, observations from deep brain stimulation have demonstrated that clinical changes, including both symptom improvement and side effects, are dependent on the modulation of large-scale networks instead of purely local effects of the neuromodulation. Combined, this multimodal evidence suggests that symptoms in movement disorders arise from distinct brain networks, encouraging multimodal imaging studies to better characterize the underlying symptom-specific mechanisms and individually tailor treatment approaches.

Identifiers

PMID39143114
PMCPMC11324766

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Registered trials

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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.