Evidence map›Paper›PMID 35280288›Full record

ReviewFrontiers in neurology2022

Leveraging Factors of Self-Efficacy and Motivation to Optimize Stroke Recovery.

Rachana Gangwani, Amelia Cain, Amy Collins, Jessica M Cassidy

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 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

4 authors.

Rachana GangwaniDepartment of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Amelia CainDepartment of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Amy CollinsDepartment of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jessica M CassidyDepartment of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

Brain Network Connectivity Measures in Early Stroke RehabilitationR00HD091375 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CASSIDY, JESSICA M · 2019 to 2021
$550k
NICHD NIH HHS R00 HD091375
6 · The paper itself

Abstract

The International Classification of Functioning, Disability and Health framework recognizes that an individual's functioning post-stroke reflects an interaction between their health condition and contextual factors encompassing personal and environmental factors. Personal factors significantly impact rehabilitation outcomes as they determine how an individual evaluates their situation and copes with their condition in daily life. A key personal factor is self-efficacy-an individual's belief in their capacity to achieve certain outcomes. Self-efficacy influences an individual's motivational state to execute behaviors necessary for achieving desired rehabilitation outcomes. Stroke rehabilitation practice and research now acknowledge self-efficacy and motivation as critical elements in post-stroke recovery, and increasing evidence highlights their contributions to motor (re)learning. Given the informative value of neuroimaging-based biomarkers in stroke, elucidating the neurological underpinnings of self-efficacy and motivation may optimize post-stroke recovery. In this review, we examine the role of self-efficacy and motivation in stroke rehabilitation and recovery, identify potential neural substrates underlying these factors from current neuroimaging literature, and discuss how leveraging these factors and their associated neural substrates has the potential to advance the field of stroke rehabilitation.

Indexed as

biomarkermotivationneuroimagingneurorehabilitationself-efficacystroke

Identifiers

PMID35280288
PMCPMC8907401

What OpenQuestion holds

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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.