Evidence map›Paper›PMID 32901067›Full record

ArticleScientific reports2020

Sensorimotor conflict tests in an immersive virtual environment reveal subclinical impairments in mild traumatic brain injury.

Hrishikesh M Rao, Tanya Talkar, Gregory Ciccarelli, Michael Nolan, Anne O'Brien, Gloria Vergara-Diaz, Delsey Sherrill, Ross Zafonte, Jeffrey S Palmer, Thomas F Quatieri and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

13 authors.

Hrishikesh M RaoHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA. Hrishikesh.Rao@LL.mit.edu.
Tanya TalkarHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Gregory CiccarelliHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Michael NolanHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Anne O'BrienMotion Analysis Laboratory Spaulding Rehabilitation Hospital, Boston, MA, USA.
Gloria Vergara-DiazMotion Analysis Laboratory Spaulding Rehabilitation Hospital, Boston, MA, USA.
Delsey SherrillHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Ross ZafonteDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Boston, MA, USA.
Jeffrey S PalmerHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Thomas F QuatieriHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Ryan J McKindlesHuman Health & Performance Systems, MIT Lincoln Laboratory, Lexington, MA, USA.
Paolo BonatoMotion Analysis Laboratory Spaulding Rehabilitation Hospital, Boston, MA, USA.
Adam C LammertDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current clinical tests lack the sensitivity needed for detecting subtle balance impairments associated with mild traumatic brain injury (mTBI). Patient-reported symptoms can be significant and have a huge impact on daily life, but impairments may remain undetected or poorly quantified using clinical measures. Our central hypothesis was that provocative sensorimotor perturbations, delivered in a highly instrumented, immersive virtual environment, would challenge sensory subsystems recruited for balance through conflicting multi-sensory evidence, and therefore reveal that not all subsystems are performing optimally. The results show that, as compared to standard clinical tests, the provocative perturbations illuminate balance impairments in subjects who have had mild traumatic brain injuries. Perturbations delivered while subjects were walking provided greater discriminability (average accuracy ≈ 0.90) than those delivered during standing (average accuracy ≈ 0.65) between mTBI subjects and healthy controls. Of the categories of features extracted to characterize balance, the lower limb accelerometry-based metrics proved to be most informative. Further, in response to perturbations, subjects with an mTBI utilized hip strategies more than ankle strategies to prevent loss of balance and also showed less variability in gait patterns. We have shown that sensorimotor conflicts illuminate otherwise-hidden balance impairments, which can be used to increase the sensitivity of current clinical procedures. This augmentation is vital in order to robustly detect the presence of balance impairments after mTBI and potentially define a phenotype of balance dysfunction that enhances risk of injury.

Indexed as

EnvironmentPostural BalanceWalkingAccelerometryAdolescentAdultAgedAged, 80 and overBrain ConcussionFemaleFollow-Up StudiesGait Disorders, NeurologicHumansMaleMiddle AgedPrognosis

Identifiers

PMID32901067
PMCPMC7479615

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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.