Evidence map›Paper›PMID 42290020›Full record

ArticleEuropean journal of neurology2026

Hand-Specific Engagement of Cerebello-Thalamo-Cortical and Higher-Order Sensorimotor Networks in Essential Tremor: Converging Evidence From GLM and MVPA-Based fMRI Analysis.

Alma S Torres-Torres, Jelle R Dalenberg, A M Madelein van der Stouwe, Bauke M de Jong, Remco J Renken, Giorgia Sciacca, Marina A J Tijssen

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Article in European journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Alma S Torres-TorresDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0003-2933-7056
Jelle R DalenbergDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.
A M Madelein van der StouweDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-9497-2019
Bauke M de JongDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.
Remco J RenkenCognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, the Netherlands.
Giorgia SciaccaDepartment of Medical, Surgical Sciences and Advanced Technologies G. F. Ingrassia, University of Catania, Catania, Italy.
Marina A J TijssenDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.

Funding

ZonMw-TOP 2018/91218013
6 · The paper itself

Abstract

backgroundEssential tremor (ET) is a prevalent movement disorder affecting the upper limbs, yet the neural basis of hand-specific motor dysfunction remains incompletely understood. Most fMRI studies have not explicitly addressed lateralization of tremor-related brain activity. This study used both multivariate pattern analysis (MVPA) and univariate general linear modeling (GLM) to characterize brain network engagement during right- and left-hand movements in ET.

methodsEighteen right-handed ET patients and 18 age-matched healthy volunteers performed alternating right- and left-hand finger-tapping tasks during fMRI. Whole-brain GLM assessed subject-level BOLD activation, and searchlight MVPA quantified subject-level local decoding performance. Group-level analyses compared activation and decoding patterns between groups, and associations with hand-specific tremor severity were examined within the ET group.

resultsDuring right-hand finger-tapping, ET patients exhibited bilateral motor network engagement. GLM revealed reduced BOLD activity in the thalami and right supramarginal gyrus, while MVPA showed decreased decoding in the right supramarginal gyrus. In left-hand finger-tapping, a more lateralized pattern emerged, with diminished activation and decoding performance in the right thalamus and right supramarginal gyrus. Left cerebellar involvement differed between tasks and showed putative compensatory engagement, and right insular activity was associated with tremor severity during task performance. Overall, cortical alterations were predominantly right lateralized across both hands.

conclusionsET is associated with hand-specific differences in task-related network engagement, involving cerebello-thalamo-cortical and higher-order sensorimotor regions. Right-hand movements engaged more bilateral motor circuits, whereas left-hand movements showed relatively stronger right-hemispheric involvement, suggesting lateralized task-related network alterations in ET.

Indexed as

CerebellumCerebral CortexEssential TremorHandNerve NetSensorimotor CortexThalamusAdultAgedBrain MappingFemaleFunctional LateralityHumansMagnetic Resonance ImagingMaleMiddle AgedBOLD signal decodingcerebello‐thalamo‐cortical networkmotor lateralizationsearchlight analysissensorimotor integrationthalamic dysfunction

Identifiers

PMID42290020
PMCPMC13266084

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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.