Evidence map›Paper›PMID 29868443›Full record

ArticleNeuroImage. Clinical2018

Dynamic causal modeling revealed dysfunctional effective connectivity in both, the cortico-basal-ganglia and the cerebello-cortical motor network in writers' cramp.

Inken Rothkirch, Oliver Granert, Arne Knutzen, Stephan Wolff, Felix Gövert, Anya Pedersen, Kirsten E Zeuner, Karsten Witt

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Article
  7. Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025
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  9. Article
  10. Network localization of pediatric lesion-induced dystonia.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. Observational
  13. Article
  14. Embouchure Dystonia as a Network Disease.Advances in neurobiology · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Contemporary functional neuroanatomy and pathophysiology of dystonia.Journal of neural transmission (Vienna, Austria : 1996) · 2021
    Review
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Inken RothkirchDepartment of Neurology, Kiel University, Germany.
Oliver GranertDepartment of Neurology, Kiel University, Germany.
Arne KnutzenDepartment of Neurology, Kiel University, Germany.
Stephan WolffDepartment of Radiology, Kiel University, Germany.
Felix GövertDepartment of Neurology, Kiel University, Germany.
Anya PedersenDepartment of Psychology, Kiel University, 24118 Kiel, Germany.
Kirsten E ZeunerDepartment of Neurology, Kiel University, Germany.
Karsten WittDepartment of Neurology, Kiel University, Germany; School of Medicine and Health Sciences - European Medical School, University Hospital of Neurology, Medical Campus University of Oldenburg, 26111 Oldenburg, Germany. Electronic address: karsten.witt@evangelischeskrankenhaus.de.
Kiel University · DECarl von Ossietzky Universität Oldenburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Writer's cramp (WC) is a focal task-specific dystonia characterized by sustained or intermittent muscle contractions while writing, particularly with the dominant hand. Since structural lesions rarely cause WC, it has been assumed that the disease might be caused by a functional maladaptation within the sensory-motor system. Therefore, our objective was to examine the differences between patients suffering from WC and a healthy control (HC) group with regard to the effective connectivity that describes causal influences one brain region exerts over another within the motor network. The effective connectivity within a network including contralateral motor cortex (M1), supplementary motor area (SMA), globus pallidus (GP), putamen (PU) and ipsilateral cerebellum (CB) was investigated using dynamic causal modeling (DCM) for fMRI. Eight connectivity models of functional motor systems were compared. Fifteen WC patients and 18 age-matched HC performed a sequential, five-element finger-tapping task with the non-dominant and non-affected left hand within a 3 T MRI-scanner as quickly and accurately as possible. The task was conducted in a fixed block design repeated 15 times and included 30 s of tapping followed by 30 s of rest. DCM identified the same model in WC and HC as superior for reflecting basal ganglia and cerebellar motor circuits of healthy subjects. The M1-PU, as well as M1-CB connectivity, was more strongly influenced by tapping in WC, but the intracortical M1-SMA connection was more facilitating in controls. Inhibiting influences originating from GP to M1 were stronger in controls compared to WC patients whereby facilitating influences the PU exerts over CB and CB exerts over M1 were not as strong. Although the same model structure explains the given data best, DCM confirms previous research demonstrating a malfunction in effective connectivity intracortically (M1-SMA) and in the cortico-basal ganglia circuitry in WC. In addition, DCM analysis demonstrates abnormal reciprocal excitatory connectivity in the cortico-cerebellar circuitry. These results highlight the dysfunctional cerebello-cortical as well as basalganglio-cortical interaction in WC.

Indexed as

Models, NeurologicalAdultAgedBasal GangliaBrain MappingCerebellumDystonic DisordersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor CortexNeural PathwaysCerebellumDynamic causal modelingFocal hand dystoniaNetwork disorderWriter's cramp

Identifiers

PMID29868443
PMCPMC5984595
OpenAlexW2791940340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.