Evidence map›Paper›PMID 27273236›Full record

ArticleHuman brain mapping2016

Parametric fMRI of paced motor responses uncovers novel whole-brain imaging biomarkers in spinocerebellar ataxia type 3.

João Valente Duarte, Ricardo Faustino, Mercês Lobo, Gil Cunha, César Nunes, Carlos Ferreira, Cristina Januário, Miguel Castelo-Branco

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. MR Imaging of SCA3/MJD.Frontiers in neuroscience · 2020
    Review
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  15. Article
  16. Age-related functional brain changes inNeuroImage. Clinical · 2018
    Article
  17. Review
  18. 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

8 authors at 2 institutions in 1 country.

João Valente DuarteInstitute for Biomedical Imaging and Life Sciences (IBILI) - Faculty of Medicine, University of Coimbra, Portugal.
Ricardo FaustinoInstitute for Biomedical Imaging and Life Sciences (IBILI) - Faculty of Medicine, University of Coimbra, Portugal.
Mercês LoboInstitute for Biomedical Imaging and Life Sciences (IBILI) - Faculty of Medicine, University of Coimbra, Portugal.
Gil CunhaInstitute of Nuclear Sciences Applied to Health (ICNAS) - University of Coimbra, Brain Imaging Network of Portugal, Portugal.
César NunesDepartment of Neuroradiology, Hospital of Coimbra University, Portugal.
Carlos FerreiraInstitute for Biomedical Imaging and Life Sciences (IBILI) - Faculty of Medicine, University of Coimbra, Portugal.
Cristina JanuárioDepartment of Neurology, Hospital of Coimbra University, Portugal.
Miguel Castelo-BrancoInstitute for Biomedical Imaging and Life Sciences (IBILI) - Faculty of Medicine, University of Coimbra, Portugal.
University of Coimbra · PTAssociation for Innovation and Biomedical Research on Light and Image · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Machado-Joseph Disease, inherited type 3 spinocerebellar ataxia (SCA3), is the most common form worldwide. Neuroimaging and neuropathology have consistently demonstrated cerebellar alterations. Here we aimed to discover whole-brain functional biomarkers, based on parametric performance-level-dependent signals. We assessed 13 patients with early SCA3 and 14 healthy participants. We used a combined parametric behavioral/functional neuroimaging design to investigate disease fingerprints, as a function of performance levels, coupled with structural MRI and voxel-based morphometry. Functional magnetic resonance imaging (fMRI) was designed to parametrically analyze behavior and neural responses to audio-paced bilateral thumb movements at temporal frequencies of 1, 3, and 5 Hz. Our performance-level-based design probing neuronal correlates of motor coordination enabled the discovery that neural activation and behavior show critical loss of parametric modulation specifically in SCA3, associated with frequency-dependent cortico/subcortical activation/deactivation patterns. Cerebellar/cortical rate-dependent dissociation patterns could clearly differentiate between groups irrespective of grey matter loss. Our findings suggest functional reorganization of the motor network and indicate a possible role of fMRI as a tool to monitor disease progression in SCA3. Accordingly, fMRI patterns proved to be potential biomarkers in early SCA3, as tested by receiver operating characteristic analysis of both behavior and neural activation at different frequencies. Discrimination analysis based on BOLD signal in response to the applied parametric finger-tapping task significantly often reached >80% sensitivity and specificity in single regions-of-interest.Functional fingerprints based on cerebellar and cortical BOLD performance dependent signal modulation can thus be combined as diagnostic and/or therapeutic targets in hereditary ataxia. Hum Brain Mapp 37:3656-3668, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

Brain MappingMagnetic Resonance ImagingAdultAge FactorsCerebrovascular CirculationFemaleFingersHumansImage Processing, Computer-AssistedMachado-Joseph DiseaseMaleMiddle AgedMotor ActivityOrgan SizeOxygenSensitivity and SpecificityOxygencerebellar degenerationimaging biomarkermovement disorderparametric functional MRIspinocerebellar ataxia type 3voxel-based morphometry

Identifiers

PMID27273236
PMCPMC6867469
OpenAlexW2412684565

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.