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Background and Purpose— We aimed to define the neuroimaging determinants of poststroke cognitive performance and their relative contributions among a spectrum of magnetic resonance imaging markers, including lesion burden and strategic locations. Methods— We prospectively included patients with stroke from the GRECogVASC study (Groupe de Réflexion pour l’Évaluation Cognitive Vasculaire) who underwent 3-T magnetic resonance imaging and a comprehensive standardized battery of neuropsychological tests 6 months after the index event. An optimized global cognitive score and neuroimaging markers, including stroke characteristics, cerebral atrophy markers, and small vessel diseases markers, were assessed. Location of strategic strokes was determined using a specifically designed method taking into account stroke size and cerebral atrophy. A stepwise multivariable linear regression model was used to identify magnetic resonance imaging determinants of cognitive performance. Results— Data were available for 356 patients (mean age: 63.67±10.6 years; 326 [91.6%] of the patients had experienced an ischemic stroke). Six months poststroke, 50.8% of patients presented with a neurocognitive disorder. Strategic strokes (right corticospinal tract, left antero-middle thalamus, left arcuate fasciculus, left middle frontal gyrus, and left postero-inferior cerebellum; R 2 =0.225; P =0.0001), medial temporal lobe atrophy ( R 2 =0.077; P =0.0001), total brain tissue volume ( R 2 =0.028; P =0.004), and stroke volume ( R 2 =0.013; P =0.005) were independent determinants of cognitive performance. Strategic strokes accounted for the largest proportion of the variance in the cognitive score (22.5%). The white matter hyperintensity burden, brain microbleeds, and dilated perivascular spaces were not independent determinants. Conclusions— Optimized global cognitive score and combined approach of both quantitative measures related to structure loss and qualitative measures related to the presence of strategic lesion are required to improve the determination of structure-function relationship of cognitive performance after stroke.

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Background: Shortly after stroke, patients exhibit excessive sensitivity to visual, proprioceptive and vestibular perturbations regarding balance control. Objective: To evaluate the stability of this perceptual behaviour after stroke and test the relationships between sensory sensitivity and balance. Methods: Thirty subjects following a hemispheric stroke (mean age 54.7 (standard deviation (SD) 10.6 years), 21 men, right hemisphere lesion = 13) and 30 control subjects (mean age 52.0 (SD 12.0), 14 men). Sensitivity to sensory perturbations was evaluated using the displacement of the centre of pressure during tendon vibration (proprioception score), optokinetic (visual score) and galvanic perturbations (vestibular score) while standing on a force-platform a mean of 2 months after stroke, and 1 month later. Balance and independence were evaluated using the Berg Balance Scale (BBS), Timed Up and Go test (TUG) and Barthel Index (BI). Conclusion:The initial months following stroke appear to be a period of individual perceptual motor adaptation. Sensory re-weighting is likely to be a major component of that process.

ObjectiveTo validate the ability of a specifically developed cognitive risk score to identify patients at risk of poststroke neurocognitive disorders (NCDs) who are eligible for a comprehensive cognitive assessment.MethodsAfter assessing 404 patients (infarct 91.3%) in the Groupe de Réflexion pour l'Evaluation Cognitive VASCulaire (GRECogVASC) cross-sectional study with the National Institute of Neurological Disorders and Stroke–Canadian Stroke Network battery 6 months after stroke, we used multivariable logistic regression and bootstrap analyses to determine factors associated with NCDs. Independent, internally validated factors were included in a cognitive risk score.ResultsCognitive impairment was present in 170 of the 320 patients with a Rankin Scale score ≥1. The backward logistic regression selected 4 factors (≥73% of the permutations): NIH Stroke Scale score on admission ≥7 (odds ratio [OR] 2.73, 95% confidence interval [CI] 1.29–4.3, p = 0.005), multiple strokes (OR 3.78, 95% CI 1.6–8, p = 0.002), adjusted Mini-Mental State Examination (MMSEadj) score ≤27 (OR 6.69, 95% CI 3.9–11.6, p = 0.0001), and Fazekas score ≥2 (OR 2.34, 95% CI 1.3–4.2, p = 0.004). The cognitive risk score computed with these 4 factors provided good calibration, discrimination (overoptimism-corrected C = 0.793), and goodness of fit (Hosmer-Lemeshow test p = 0.99). A combination of Rankin Scale score ≥1, cognitive risk score ≥1, and MMSEadj score ≥21 selected 230 (56.9%) of the 404 patients for a comprehensive assessment. This procedure yielded good sensitivity (96.5%) and moderate specificity (43%; positive predictive value 0.66, negative predictive value 0.91) and was more accurate (p ≤ 0.03 for all) than the sole use of screening tests (MMSE or Montréal Cognitive Assessment).ConclusionThe GRECogVASC cognitive risk score comprises 4 easily documented factors; this procedure helps to identify patients at risk of poststroke NCDs who must therefore undergo a comprehensive assessment.ClinicalTrials.gov identifier:NCT01339195.

The goggle task increases the difficulty in walking with visual deprivation compared to the Romberg task, so the goggle task can be proposed to gradually increase the difficulty in walking with visual deprivation (from eyes closed to eyes open in black goggles).

Background and Purpose: Additional therapy may improve poststroke outcomes. Self-rehabilitation is a useful means to increase rehabilitation time. Mechanized systems are usual means to extend time for motor training. The primary aim was to compare the effects of self-rehabilitation using a mechanized device with control self-exercises on upper extremity impairment in patients with stroke. Methods: Phase III, parallel, concealed allocation, randomized controlled, multicenter trial, with 12-month follow-up. Patients aged 18 to 80 years, 3 weeks to 3 months poststroke with a Fugl-Meyer Assessment score of 10 to 40 points, were randomized to the Exo or control groups. All undertook two 30-minute self-rehabilitation sessions/day, 5 days/wk for 4 weeks in addition to usual rehabilitation. The Exo group performed games-based exercises using a gravity-supported mechanical exoskeleton (Armeo Spring). The control group performed stretching plus basic active exercises. Primary outcome was change in upper extremity Fugl-Meyer Assessment score at 4 weeks. Results: Two hundred fifteen participants were randomly allocated to the Exo group (107) or the control group (108). Mean age (SD), 58.3 (13.6) years; mean time poststroke, 54.8 (22.1) days; and mean baseline Fugl-Meyer Assessment score, 26.1 (9.5). There was no between-group difference in mean change in Fugl-Meyer Assessment score following the intervention: 13.3 (9.0) in the Exo group and 11.8 (8.8) in the control group ( P =0.22). There were no significant between-group differences in changes for any of the other outcomes at any time point (except for perception of the self-rehabilitation). There was no between-group difference in cost utility at 12 months. Conclusions: In patients with moderate-to-severe impairment in the subacute phase of stroke, the purchase and use of complex devices to provide additional upper limb training may not be necessary: simply educating patients to regularly move and stretch their limbs appears sufficient. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01383512.

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