Evidence map›Paper›PMID 25369465›Full record

ArticlePloS one2014

Deficient grip force control in schizophrenia: behavioral and modeling evidence for altered motor inhibition and motor noise.

Maxime Teremetz, Isabelle Amado, Narjes Bendjemaa, Marie-Odile Krebs, Pavel G Lindberg, Marc A Maier

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02826629 ("MADOCS), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT02826629 naunknown statusnot on this mapstarted 2016, after this paper: background citation

"MADOCS: Manual Dexterity and Oculomotor Control as Vulnerability Markers in Schizophrenia"

TypeinterventionalSponsorCentre Hospitalier St AnneRan2016 to 2019Enrolled105ConditionsSchizophreniaArmsManual dexterity, Oculomotor movements, TMS coupled to EMG recording, Psychopathological evaluations, Neuropsychological evaluations
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  4. Review
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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

6 authors.

Maxime TeremetzUniversité Paris Descartes, FR3636 CNRS, Sorbonne Paris Cité, 75006, Paris, France.
Isabelle AmadoSHU, Université Paris Descartes, Hôpital Sainte-Anne, 75014, Paris, France; INSERM U894; Université Paris Descartes, Sorbonne Paris Cité, GDR3557, Psychiatrie, 75014, Paris, France.
Narjes BendjemaaSHU, Université Paris Descartes, Hôpital Sainte-Anne, 75014, Paris, France; INSERM U894; Université Paris Descartes, Sorbonne Paris Cité, GDR3557, Psychiatrie, 75014, Paris, France.
Marie-Odile KrebsSHU, Université Paris Descartes, Hôpital Sainte-Anne, 75014, Paris, France; INSERM U894; Université Paris Descartes, Sorbonne Paris Cité, GDR3557, Psychiatrie, 75014, Paris, France.
Pavel G LindbergUniversité Paris Descartes, FR3636 CNRS, Sorbonne Paris Cité, 75006, Paris, France.
Marc A MaierUniversité Paris Descartes, FR3636 CNRS, Sorbonne Paris Cité, 75006, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, 75012, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether upper limb sensorimotor control is affected in schizophrenia and how underlying pathological mechanisms may potentially intervene in these deficits is still being debated. We tested voluntary force control in schizophrenia patients and used a computational model in order to elucidate potential cerebral mechanisms underlying sensorimotor deficits in schizophrenia. A visuomotor grip force-tracking task was performed by 17 medicated and 6 non-medicated patients with schizophrenia (DSM-IV) and by 15 healthy controls. Target forces in the ramp-hold-and-release paradigm were set to 5 N and to 10% maximal voluntary grip force. Force trajectory was analyzed by performance measures and Principal Component Analysis (PCA). A computational model incorporating neural control signals was used to replicate the empirically observed motor behavior and to explore underlying neural mechanisms. Grip task performance was significantly lower in medicated and non-medicated schizophrenia patients compared to controls. Three behavioral variables were significantly higher in both patient groups: tracking error (by 50%), coefficient of variation of force (by 57%) and duration of force release (up by 37%). Behavioral performance did not differ between patient groups. Computational simulation successfully replicated these findings and predicted that decreased motor inhibition, together with an increased signal-dependent motor noise, are sufficient to explain the observed motor deficits in patients. PCA also suggested altered motor inhibition as a key factor differentiating patients from control subjects: the principal component representing inhibition correlated with clinical severity. These findings show that schizophrenia affects voluntary sensorimotor control of the hand independent of medication, and suggest that reduced motor inhibition and increased signal-dependent motor noise likely reflect key pathological mechanisms of the sensorimotor deficit.

Indexed as

Hand StrengthAdultFeedback, SensoryHumansMaleMiddle AgedPsychomotor PerformanceSchizophreniaSchizophrenic PsychologyYoung Adult

Identifiers

PMID25369465
PMCPMC4219790

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Registered trials

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.