Evidence map›Paper›PMID 32934259›Full record

Trial reportScientific reports2020

Voxel-based morphometry and task functional magnetic resonance imaging in essential tremor: evidence for a disrupted brain network.

Ilaria Boscolo Galazzo, Francesca Magrinelli, Francesca Benedetta Pizzini, Silvia Francesca Storti, Federica Agosta, Massimo Filippi, Angela Marotta, Giancarlo Mansueto, Gloria Menegaz, Michele Tinazzi

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Oscillatory Coupling Between Thalamus, Cerebellum, and Motor Cortex in Essential Tremor.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. The Role of the Cerebellum in Tremor - Evidence from Neuroimaging.Tremor and other hyperkinetic movements (New York, N.Y.) · 2021
    Review
  12. Review
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

10 authors at 3 institutions in 1 country.

Ilaria Boscolo Galazzo *Department of Computer Science, University of Verona, Strada Le Grazie 15, Ca' Vignal 2, 37134, Verona, Italy. ilaria.boscologalazzo@univr.it.
Francesca Magrinelli *Department of Neurosciences, Biomedicine and Movement Sciences, Neurology Section, University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy. francesca.magrinelli@univr.it.
Francesca Benedetta PizziniDepartment of Diagnostics and Pathology, University of Verona, Verona, Italy.
Silvia Francesca StortiDepartment of Computer Science, University of Verona, Strada Le Grazie 15, Ca' Vignal 2, 37134, Verona, Italy.
Federica AgostaNeuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Angela MarottaDepartment of Neurosciences, Biomedicine and Movement Sciences, Neurology Section, University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Giancarlo MansuetoDepartment of Diagnostics and Pathology, University of Verona, Verona, Italy.
Gloria MenegazDepartment of Computer Science, University of Verona, Strada Le Grazie 15, Ca' Vignal 2, 37134, Verona, Italy.
Michele TinazziDepartment of Neurosciences, Biomedicine and Movement Sciences, Neurology Section, University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
University of Verona · ITNeuroscience Institute · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathophysiology of essential tremor (ET) is controversial and might be further elucidated by advanced neuroimaging. Focusing on homogenous ET patients diagnosed according to the 2018 consensus criteria, this study aimed to: (1) investigate whether task functional MRI (fMRI) can identify networks of activated and deactivated brain areas, (2) characterize morphometric and functional modulations, relative to healthy controls (HC). Ten ET patients and ten HC underwent fMRI while performing two motor tasks with their upper limb: (1) maintaining a posture (both groups); (2) simulating tremor (HC only). Activations/deactivations were obtained from General Linear Model and compared across groups/tasks. Voxel-based morphometry and linear regressions between clinical and fMRI data were also performed. Few cerebellar clusters of gray matter loss were found in ET. Conversely, widespread fMRI alterations were shown. Tremor in ET (task 1) was associated with extensive deactivations mainly involving the cerebellum, sensory-motor cortex, and basal ganglia compared to both tasks in HC, and was negatively correlated with clinical tremor scales. Homogeneous ET patients demonstrated deactivation patterns during tasks triggering tremor, encompassing a network of cortical and subcortical regions. Our results point towards a marked cerebellar involvement in ET pathophysiology and the presence of an impaired cerebello-thalamo-cortical tremor network.

Indexed as

Basal GangliaEssential TremorMagnetic Resonance ImagingSensorimotor CortexAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID32934259
PMCPMC7493988
OpenAlexW3087349706

What OpenQuestion holds

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LicenceCC BY
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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.