Evidence map›Paper›PMID 26605915›Full record

ArticlePloS one2015

What Do Eye Gaze Metrics Tell Us about Motor Imagery?

Elodie Poiroux, Christine Cavaro-Ménard, Stéphanie Leruez, Jean Michel Lemée, Isabelle Richard, Mickael Dinomais

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Elodie PoirouxLUNAM, Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), EA 7315 F-49000, Angers, France.
Christine Cavaro-MénardLUNAM, Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), EA 7315 F-49000, Angers, France.
Stéphanie LeruezLUNAM, Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), EA 7315 F-49000, Angers, France.
Jean Michel LeméeLUNAM, Université d'Angers, Département de Neurochirurgie, CHU d'Angers, 4 rue Larrey, 49933, Angers, Cedex 9, France.
Isabelle RichardLUNAM, Université d'Angers, Département de Médecine Physique et de Réadaptation, CHU d'Angers, 4 rue Larrey, 49933, Angers, Cedex 9, France.
Mickael DinomaisLUNAM, Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), EA 7315 F-49000, Angers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of the brain structures involved in performing real movements also have increased activity during imagined movements or during motor observation, and this could be the neural substrate underlying the effects of motor imagery in motor learning or motor rehabilitation. In the absence of any objective physiological method of measurement, it is currently impossible to be sure that the patient is indeed performing the task as instructed. Eye gaze recording during a motor imagery task could be a possible way to "spy" on the activity an individual is really engaged in. The aim of the present study was to compare the pattern of eye movement metrics during motor observation, visual and kinesthetic motor imagery (VI, KI), target fixation, and mental calculation. Twenty-two healthy subjects (16 females and 6 males), were required to perform tests in five conditions using imagery in the Box and Block Test tasks following the procedure described by Liepert et al. Eye movements were analysed by a non-invasive oculometric measure (SMI RED250 system). Two parameters describing gaze pattern were calculated: the index of ocular mobility (saccade duration over saccade + fixation duration) and the number of midline crossings (i.e. the number of times the subjects gaze crossed the midline of the screen when performing the different tasks). Both parameters were significantly different between visual imagery and kinesthesic imagery, visual imagery and mental calculation, and visual imagery and target fixation. For the first time we were able to show that eye movement patterns are different during VI and KI tasks. Our results suggest gaze metric parameters could be used as an objective unobtrusive approach to assess engagement in a motor imagery task. Further studies should define how oculomotor parameters could be used as an indicator of the rehabilitation task a patient is engaged in.

Indexed as

Eye MovementsImaginationVision, OcularAdultFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID26605915
PMCPMC4659676

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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.