The aim of this study is to compare the time-course changes in neurologic impairments (trunk control, motor function, sensory, and cognition) and recovery in functional impairments (activity of daily livings and gait) simultaneously from initiating rehabilitation to 6 months after stroke. Consecutive stroke patients were recruited from the department of nervous surgery, and transferred into the department of rehabilitation medicine and continued on treatment during the acute stage. Outcome measures were examined at the initial rehabilitation baseline, 1, 2, and 4 weeks after rehabilitation treatment, and 3, 4, 5, and 6 months after stroke. Patients were assessed using the Trunk Impairment Scale, the Fugl-Meyer Motor and Sensory Assessments for the upper and lower limbs, Mini-Mental State Examination, Functional Ambulation Category, and Modified Barthel Index. Twenty consecutive patients were analyzed in the study with complete assessments. The recovery was relatively rapid during the 4 weeks after treatment (P value ranges from <0.001 to <0.007) and then to a lesser extent decelerated between 3 and 6 months after stroke (P value between <0.001 and 0.080). Statistical comparison by repeated measures analysis showed a significant interaction between time points and measures of all recovery variables (P<0.001). Significant differences in level of impairments and functional recovery were found at the different time points. In comparison with the lower leg and trunk control, the upper arm showed less recovery, with a significant difference. All variables except for leg motor function improved continuously over 6 months after stroke. Nevertheless, this study confirms the importance of the period within 3 months for recovery after stroke, during which most of the recovery occurred, ranging from 48 to 91%. Therefore, intensive treatment targeting motor and sensory functions early after stroke may be beneficial for recovery of impairments and functional performance.

ObjectivesGait recovery is an important goal in stroke patients. Several studies have sought to uncover relationships between specific brain lesions and the recovery of gait, but the effects of specific brain lesions on gait remain unclear. Thus, we investigated the effects of stroke lesions on gait recovery in stroke patients.Materials and MethodsIn total, 30 subjects with stroke were assessed in a retrograde longitudinal observational study. To assess gait function, the functional ambulation category (FAC) was tested four times: initially (within 2 weeks) and 1, 3, and 6 months after the onset of the stroke. Brain lesions were analyzed via overlap, subtraction, and voxel‐based lesion symptom mapping (VLSM).ResultsAmbulation with FAC improved significantly with time. Subtraction analysis showed that involvement of the corona radiata, internal capsule, globus pallidus, and putamen were associated with poor recovery of gait throughout 6 months after onset. The caudate nucleus did influence poor recovery of gait at 6 months after onset. VLSM revealed that corona radiata, internal capsule, globus pallidus, putamen and cingulum were related with poor recovery of gait at 3 months after onset. Corona radiata, internal capsule, globus pallidus, putamen, primary motor cortex, and caudate nucleus were related with poor recovery of gait at 6 months after onset.ConclusionResults identified several important brain lesions for gait recovery in patients with stroke. These results may be useful for planning rehabilitation strategies for gait and understanding the prognosis of gait in stroke patients.

Background: We investigated population-based data on grip strength, analyzed for demographic factors, and proposed a formula to estimate grip strength that could be generalized to a population with different anthropometric and background characteristics. Methods: This study used a complex, stratified, multistage probability cluster survey with a representative sample of the population. Select household Korean participants (n = 6577) over age 10 who were able to perform daily tasks without issue were included. Grip strength was measured in both hands, alternately, three times using a digital grip strength dynamometer. Results: There was a curvilinear relationship between grip strength and age, and grip strength was higher in males than females (p = 0.001). Hand preference significantly affected grip strength (p = 0.001). Weight and height were positively correlated with strength in both hands (p = 0.001), but waist circumference was negatively correlated with strength in both hands (p = 0.001). The intensity of occupational labor did significantly affect grip strength in both hands (p = 0.001). The formulas for estimating grip strength of each hand are presented as main results. Conclusions: To determine normative data on grip strength, we may consider factors such as occupations with different physical demands, underlying medical conditions, anthropometric characteristics, and unmodifiable factors such as age and sex.

Although studies have demonstrated that several specific brain lesions are related to the severity of functional outcomes, the effects of specific brain lesions are not yet clear. This study investigated the effects of hemorrhagic stroke lesions on motor recovery. Eleven subjects with hemorrhagic stroke were assessed. Using the Fugl-Meyer Assessment and functional ambulation category, clinical motor and sensory impairments were tested four times in total: initially within 2 weeks and 1, 3, and 6 months after the onset of stroke. Brain lesions and size were evaluated using MRIcron, SPM8, and Talairach Daemon software. Trunk control, motor function in the lower limbs, and sensory function improved significantly within 3 months, after which the change was no longer significant. Upper limb function and gait were unchanged within 1 month but improved significantly 3 months after onset and continued to improve for 6 months. Involvement of the anterior putamen, internal capsule, thalamus, periventricular white matter, and premotor cortex was related to poor upper limb recovery in patients with hemorrhagic stroke. These results should be useful for planning rehabilitation strategies and understanding the prognosis of hemorrhagic stroke.

The focus of gait rehabilitation for walking in real-life settings should vary according to different aspects of gait performance. Investigation of factors related to impairments specific to community ambulation or activity participation may be helpful in determining and targeting appropriate treatment for gait rehabilitation. Objective To investigate the relationship between community ambulation and factors determining gait ability. Methods Forty-six outpatients with a previous stroke participated in a cross-sectional assessment. Community ambulation was assessed using a self-administered questionnaire. Outcome measures included impairments (strength, sensation, muscle tone, and balance) and ambulatory activity limitations (self-paced and maximum 10-m gait speed, 6-minute walking test, and concurrent manual/cognitive dual-task walking speed). Ability to increase speed and the dual-tasks cost were calculated. Multivariate analysis of variance and multiple regression analyses were used to determine differences in walking and identify important factors related to community ambulation. Results Pearson and Spearman analyses revealed that impairments (balance, r = .665; muscle strength, r = 0.653) and ambulatory activity limitation (gait speed, r = 0.684; walking distance, r = 0.654; ability to increase speed, r = 0.413) were significantly positively correlated with community ambulation level. Balance was an important factor in predicting increasing speed (P < 0.001). Muscle strength and tone were positive contributors to gait speed (P = 0.001 for both) and distance (P = 0.019 and P = 0.002, respectively). Cognitive and manual dual tasks showed no significant relationship to other variables. Stepwise multivariate regression analysis showed that important determinants of community ambulation level were strength (P < 0.001) and gait endurance (P = 0.001). Conclusions Muscle strength and walking distance are contributing factors in community ambulation for patients with chronic stroke.