ArticleJournal of neurophysiology2017
A novel computational model to probe visual search deficits during motor performance.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Can we trust computers to assess the cognition of stroke patients? A systematic review.Frontiers in neurology · 2023Pooled it
- I Got Rhythm and Executive Function, Memory, and More: The Automated Test of Embodied Cognition (ATEC).Brain sciences · 2025Article
- Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies.Neurology international · 2024Review
- Perceptual-Cognitive Integration for Goal-Directed Action in Naturalistic Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Object motion influences feedforward motor responses during mechanical stopping of virtual projectiles: a preliminary study.Experimental brain research · 2023Article
- Enhanced cognitive interference during visuomotor tasks may cause eye-hand dyscoordination.Experimental brain research · 2023Article
- 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 · 2021Article
- Multiple processes independently predict motor learning.Journal of neuroengineering and rehabilitation · 2020Article
- Vision does not always help stroke survivors compensate for impaired limb position sense.Journal of neuroengineering and rehabilitation · 2019Article
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Authors and funding
7 authors.
Funding
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.
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