Evidence map›Paper›PMID 30627303›Full record

ArticleACM transactions on accessible computing2018

Extraction of Emotional Information via Visual Scanning Patterns: A Feasibility Study of Participants with Schizophrenia and Neurotypical Individuals.

Joshua Wade, Heathman S Nichols, Megan Ichinose, Dayi Bian, Esube Bekele, Matthew Snodgress, Ashwaq Zaini Amat, Eric Granholm, Sohee Park, Nilanjan Sarkar

2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in ACM transactions on accessible computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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.

NCT03128099 nacompletednot on this map

Physiology-based Virtual Reality Training for Social Skills in Schizophrenia

TypeinterventionalSponsorVanderbilt UniversityRan2016 to 2018Enrolled47ConditionsSchizophreniaArmsVirtual reality social skills training
NCT04005794 nacompletednot on this mapstarted 2021, after this paper: background citation

Physiology-based Virtual Reality Training for Social Skills in Schizophrenia

TypeinterventionalSponsorVanderbilt UniversityRan2021 to 2024Enrolled50ConditionsSchizophrenia, Schizo Affective Disorder, Social SkillsArmssocial VR (virtual reality) training, Cognitive training (control game)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

10 authors at 2 institutions in 1 country.

Joshua WadeDepartment Of Mechanical Engineering, Vanderbilt University.
Heathman S NicholsDepartment Of Psychology, Vanderbilt University.
Megan IchinoseDepartment Of Psychology, Vanderbilt University.
Dayi BianDepartment Of Electrical Engineering & Computer Science, Vanderbilt University.
Esube BekeleDepartment Of Electrical Engineering & Computer Science, Vanderbilt University.
Matthew SnodgressDepartment Of Psychology, Vanderbilt University.
Ashwaq Zaini AmatDepartment Of Electrical Engineering & Computer Science, Vanderbilt University.
Eric GranholmDepartment Of Psychiatry, University Of California, San Diego.
Sohee ParkDepartment Of Psychology, Vanderbilt University.
Nilanjan SarkarDepartment Of Mechanical Engineering, Vanderbilt University.
Vanderbilt University · USUniversity of California San Diego · US

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Adaptive Response Technology for Autism Spectrum Disorders InterventionR01MH091102 · NIMH · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN · 2011 to 2015
$1.8M
Physiology-based virtual reality training for social skills in schizophreniaR33MH106748 · NIMH · VANDERBILT UNIVERSITY · PI PARK, SOHEE, SARKAR, NILANJAN · 2019 to 2021
$1.6M
Physiology-based virtual reality training for social skills in schizophreniaR21MH106748 · NIMH · VANDERBILT UNIVERSITY · PI PARK, SOHEE, SARKAR, NILANJAN · 2016 to 2017
$827k
NICHD NIH HHS U54 HD083211NIMH NIH HHS R01 MH091102NIMH NIH HHS R21 MH106748NIMH NIH HHS R33 MH106748
6 · The paper itself

Abstract

Emotion recognition impairment is a core feature of schizophrenia (SZ), present throughout all stages of this condition, and leads to poor social outcome. However, the underlying mechanisms that give rise to such deficits have not been elucidated and hence, it has been difficult to develop precisely targeted interventions. Evidence supports the use of methods designed to modify patterns of visual attention in individuals with SZ in order to effect meaningful improvements in social cognition. To date, however, attention-shaping systems have not fully utilized available technology (e.g., eye tracking) to achieve this goal. The current work consisted of the design and feasibility testing of a novel gaze-sensitive social skills intervention system called MASI-VR. Adults from an outpatient clinic with confirmed SZ diagnosis (n=10) and a comparison sample of neurotypical participants (n=10) were evaluated on measures of emotion recognition and visual attention at baseline assessment, and a pilot test of the intervention system was evaluated on the SZ sample following five training sessions over three weeks. Consistent with the literature, participants in the SZ group demonstrated lower recognition of faces showing medium intensity fear, spent more time deliberating about presented emotions, and had fewer fixations in comparison to neurotypical peers. Furthermore, participants in the SZ group showed significant improvement in the recognition of fearful faces post-training. Preliminary evidence supports the feasibility of a gaze-sensitive paradigm for use in assessment and training of emotion recognition and social attention in individuals with SZ, thus warranting further evaluation of the novel intervention.

Identifiers

PMID30627303
PMCPMC6322689
OpenAlexW2901511249

What OpenQuestion holds

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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.