» Articles » PMID: 17687024

Inter-individual Variability in the Capacity for Motor Recovery After Ischemic Stroke

Overview
Publisher Sage Publications
Date 2007 Aug 10
PMID 17687024
Citations 223
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Motor recovery after stroke is predicted only moderately by clinical variables, implying that there is still a substantial amount of unexplained, biologically meaningful variability in recovery. Regression diagnostics can indicate whether this is associated simply with Gaussian error or instead with multiple subpopulations that vary in their relationships to the clinical variables.

Objective: To perform regression diagnostics on a linear model for recovery versus clinical predictors.

Methods: Forty-one patients with ischemic stroke were studied. Impairment was assessed using the upper extremity Fugl-Meyer Motor Score. Motor recovery was defined as the change in the upper extremity Fugl-Meyer Motor Score from 24 to 72 hours after stroke to 3 or 6 months later. The clinical predictors in the model were age, gender, infarct location (subcortical vs cortical), diffusion weighted imaging infarct volume, time to reassessment, and acute upper extremity Fugl-Meyer Motor Score. Regression diagnostics included a Kolmogorov-Smirnov test for Gaussian errors and a test for outliers using Studentized deleted residuals.

Results: In the random sample, clinical variables explained only 47% of the variance in recovery. Among the patients with the most severe initial impairment, there was a set of regression outliers who recovered very poorly. With the outliers removed, explained variance in recovery increased to 89%, and recovery was well approximated by a proportional relationship with initial impairment (recovery congruent with 0.70 x initial impairment).

Conclusions: Clinical variables only moderately predict motor recovery. Regression diagnostics demonstrated the existence of a subpopulation of outliers with severe initial impairment who show little recovery. When these outliers were removed, clinical variables were good predictors of recovery among the remaining patients, showing a tight proportional relationship to initial impairment.

Citing Articles

Effects of transcranial direct current stimulation (tDCS) on motor function among people with stroke: evidence mapping.

Qin Y, Xu J, Ng S Syst Rev. 2025; 14(1):60.

PMID: 40069897 PMC: 11899689. DOI: 10.1186/s13643-025-02795-2.


Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery.

Zich C, Ward N, Forss N, Bestmann S, Quinn A, Karhunen E Neuroimage Clin. 2025; 45:103754.

PMID: 39978147 PMC: 11889610. DOI: 10.1016/j.nicl.2025.103754.


Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study.

Binyamin-Netser R, Handelzalts S, Goldhamer N, Avni I, Tayer Yeshurun A, Koren Y JMIR Serious Games. 2025; 13:e56397.

PMID: 39946405 PMC: 11841746. DOI: 10.2196/56397.


Alterations of upper-extremity functional muscle networks in chronic stroke survivors.

OReilly D, Delis I Exp Brain Res. 2024; 243(1):31.

PMID: 39710730 PMC: 11663821. DOI: 10.1007/s00221-024-06973-x.


Neuronutrition and Its Impact on Post-Stroke Neurorehabilitation: Modulating Plasticity Through Diet.

Ciancarelli I, Morone G, Iosa M, Cerasa A, Calabro R, Tozzi Ciancarelli M Nutrients. 2024; 16(21).

PMID: 39519537 PMC: 11547614. DOI: 10.3390/nu16213705.