Evidence map›Paper›PMID 27733596›Full record

ArticleJournal of neurophysiology2017

A novel computational model to probe visual search deficits during motor performance.

Tarkeshwar Singh, Julius Fridriksson, Christopher M Perry, Sarah C Tryon, Angela Ross, Stacy Fritz, Troy M Herter

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Perceptual-Cognitive Integration for Goal-Directed Action in Naturalistic Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
  5. Article
  6. Article
  7. Investigating a classical neuropsychological test in a real world context.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
  8. Multiple processes independently predict motor learning.Journal of neuroengineering and rehabilitation · 2020
    Article
  9. 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

7 authors.

Tarkeshwar SinghDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, South Carolina; and.
Christopher M PerryDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina.
Sarah C TryonDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina.
Angela RossDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina.
Stacy FritzDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina.
Troy M HerterDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina; therter@sc.edu.ORCID 0000-0001-7466-1619

Funding

Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

Successful execution of many motor skills relies on well-organized visual search (voluntary eye movements that actively scan the environment for task-relevant information). Although impairments of visual search that result from brain injuries are linked to diminished motor performance, the neural processes that guide visual search within this context remain largely unknown. The first objective of this study was to examine how visual search in healthy adults and stroke survivors is used to guide hand movements during the Trail Making Test (TMT), a neuropsychological task that is a strong predictor of visuomotor and cognitive deficits. Our second objective was to develop a novel computational model to investigate combinatorial interactions between three underlying processes of visual search (spatial planning, working memory, and peripheral visual processing). We predicted that stroke survivors would exhibit deficits in integrating the three underlying processes, resulting in deteriorated overall task performance. We found that normal TMT performance is associated with patterns of visual search that primarily rely on spatial planning and/or working memory (but not peripheral visual processing). Our computational model suggested that abnormal TMT performance following stroke is associated with impairments of visual search that are characterized by deficits integrating spatial planning and working memory. This innovative methodology provides a novel framework for studying how the neural processes underlying visual search interact combinatorially to guide motor performance. NEW & NOTEWORTHY: Visual search has traditionally been studied in cognitive and perceptual paradigms, but little is known about how it contributes to visuomotor performance. We have developed a novel computational model to examine how three underlying processes of visual search (spatial planning, working memory, and peripheral visual processing) contribute to visual search during a visuomotor task. We show that deficits integrating spatial planning and working memory underlie abnormal performance in stroke survivors with frontoparietal damage.

Indexed as

Computer SimulationAdultAgedAge FactorsAttention Deficit Disorder with HyperactivityFemaleFixation, OcularHumansMaleMiddle AgedModels, BiologicalMotor SkillsPhotic StimulationPsychomotor DisordersStatistics as TopicStrokecomputational modelsaccadesstrokevisual searchvisuomotor

Identifiers

PMID27733596
PMCPMC5209551

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.