Evidence map›Paper›PMID 29453171›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2018

Finger strength, individuation, and their interaction: Relationship to hand function and corticospinal tract injury after stroke.

Eric T Wolbrecht, Justin B Rowe, Vicky Chan, Morgan L Ingemanson, Steven C Cramer, David J Reinkensmeyer

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

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  18. Quantitative assessments of finger individuation with an instrumented glove.Journal of neuroengineering and rehabilitation · 2023
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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

6 authors.

Eric T WolbrechtDepartment of Mech. Engineering, University of Idaho, United States. Electronic address: ewolbrec@uidaho.edu.
Justin B RoweDepartment of Biomedical Engineering, University of California at Irvine, United States.
Vicky ChanDepartment of Neurology, University of California at Irvine, United States.
Morgan L IngemansonDepartment of Anatomy and Neurobiology, University of California at Irvine, United States.
Steven C CramerDepartment of Neurology, University of California at Irvine, United States; Department of Anatomy and Neurobiology, University of California at Irvine, United States; Department of Physical Medicine and Rehabilitation, University of California at Irvine, United States.
David J ReinkensmeyerDepartment of Biomedical Engineering, University of California at Irvine, United States; Department of Anatomy and Neurobiology, University of California at Irvine, United States; Department of Mechanical and Aerospace Engineering, University of California at Irvine, United States; Department of Physical Medicine and Rehabilitation, University of California at Irvine, United States.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
EFFECTIVENESS OF ROBOT-ASSISTED HAND MOVEMENT TRAINING AFTER STROKER01HD062744 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI David Jay Reinkensmeyer · 2010 to 2026
$3.5M
Brain plasticity and rehabilitation after strokeK24HD074722 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CRAMER, STEVEN C. · 2013 to 2017
$588k
NCATS NIH HHS UL1 TR001414NICHD NIH HHS K24 HD074722NICHD NIH HHS R01 HD062744
6 · The paper itself

Abstract

objectiveThe goal of this study was to determine the relative contributions of finger weakness and reduced finger individuation to reduced hand function after stroke, and their association with corticospinal tract (CST) injury.

methodsWe measured individuated and synergistic maximum voluntary contractions (MVCs) of the index and middle fingers, in both flexion and extension, of 26 individuals with a chronic stroke using a robotic exoskeleton. We quantified finger strength and individuation, and defined a novel metric that combines them - "multifinger capacity". We used stepwise linear regression to identify which measure best predicted hand function (Box and Blocks Test, Nine Hole Peg Test) and arm impairment (the Upper Extremity Fugl-Meyer Test).

resultsCompared to metrics of strength or individuation, capacity survived the stepwise regression as the strongest predictor of hand function and arm impairment. Capacity was also most strongly related to presence or absence of lesion overlap with the CST.

conclusionsReduced strength and individuation combine to shrink the space of achievable finger torques, and it is the resulting size of this space - the multifinger capacity - that is of elevated importance for predicting loss of hand function. SIGNIFICANCE: Multi-finger capacity may be an important target for rehabilitative hand training.

Indexed as

Exoskeleton DeviceAdultAgedFemaleFingersHand StrengthHumansMaleMiddle AgedMuscle ContractionPyramidal TractsStrokeStroke RehabilitationYoung AdultCorticospinal tract (CST) injuryFinger individuationFinger strengthHand functionMulti-finger strengthNeurorehabilitationStroke

Identifiers

PMID29453171
PMCPMC5856636

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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.