Evidence map›Paper›PMID 23999996›Full record

Trial reportMagma (New York, N.Y.)2014

Effect of voluntary repetitive long-lasting muscle contraction activity on the BOLD signal as assessed by optimal hemodynamic response function.

Silvia Francesca Storti, Emanuela Formaggio, Deborah Moretto, Alessandra Bertoldo, Francesca Benedetta Pizzini, Alberto Beltramello, Antonio Fiaschi, Gianna Maria Toffolo, Paolo Manganotti

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Magma (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Silvia Francesca StortiSection of Neurology, Department of Neurological and Movement Sciences, University of Verona, P.le L.A. Scuro 10, 37134, Verona, Italy, silviafrancesca.storti@univr.it.
Emanuela Formaggio
Deborah Moretto
Alessandra Bertoldo
Francesca Benedetta Pizzini
Alberto Beltramello
Antonio Fiaschi
Gianna Maria Toffolo
Paolo Manganotti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAmong other neuroimaging techniques, functional magnetic resonance imaging (fMRI) can be useful for studying the development of motor fatigue. The aim of this study was to identify differences in cortical neuronal activation in nine subjects on three motor tasks: right-hand movement with minimum, maximum, and post-fatigue maximum finger flexion. MATERIALS AND

methodsfMRI activation maps for each subject and during each condition were obtained by estimating the optimal model of the hemodynamic response function (HRF) out of four standard HRF models and an individual-based HRF model (ibHRF).

resultsibHRF was selected as the optimal model in six out of nine subjects for minimum movement, in five out of nine for maximum movement, and in eight out of nine for post-fatigue maximum movement. As compared to maximum movement, a large reduction in the total number of active voxels (primary sensorimotor area, supplementary motor area and cerebellum) was observed in post-fatigue maximum movement.

conclusionThis is the first approach to the evaluation of long-lasting contraction effort in healthy subjects by means of the fMRI paradigm with the use of an individual-based hemodynamic response. The results may be relevant for defining a baseline in future studies on central fatigue in patients with neuropathological disorders.

Indexed as

AdultBrain MappingEvoked Potentials, MotorFemaleHumansMagnetic Resonance ImagingMaleMotor CortexMuscle ContractionMuscle FatigueOxygen ConsumptionPhysical EndurancePhysical ExertionReproducibility of ResultsSensitivity and SpecificityVolition

Identifiers

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Textmetadata
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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.