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The recovery of independent gait after stroke is a main goal of patients and understanding the relationship between brain lesions and the recovery of gait can help physicians set viable rehabilitation plans. Our study investigated the association between variables of gait parameters and brain lesions.Fifty poststroke patients with a mean age of 67.5 ± 1.3 years and an average duration after onset of 62.2 ± 7.9 months were included. Three-dimensional gait analysis and magnetic resonance imaging were conducted for all patients. Twelve quantified gait parameters of temporal-spatial, kinematic, and kinetic data were used. To correlate gait parameters with specific brain lesions, we used a voxel-based lesion symptom mapping analysis. Statistical significance was set to an uncorrected P value <.005 and cluster size >10 voxels.Based on the location of a brain lesion, the following results were obtained: The posterior limb of the internal capsule was significantly associated with gait speed and increased knee extension in the stance phase. The hippocampus and frontal lobe were significantly associated with cadence. The proximal corona radiata was significantly associated with stride length and affected the hip maximal extension angle in the stance phase. The paracentral lobule was significantly associated with the affected knee maximal flexion angle in the swing phase and with the affected ankle maximal dorsiflexion angle in the stance phase. The frontal lobe, thalamus, and the lentiform nucleus were associated with kinetic gait parameters.Cortical, proximal white matter, and learning-related and motor-related areas are mainly associated with one's walking ability after stroke.
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http://dx.doi.org/10.1097/MD.0000000000010453 | DOI Listing |
Cureus
August 2025
Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, Cleveland, USA.
Freezing of gait (FoG) is a disabling symptom of Parkinson's disease (PD) characterized by involuntary cessation/reduction. While deep brain stimulation (DBS) targeting the subthalamic nucleus (STN) effectively treats common PD symptoms such as tremor, its impact on FoG is less clear. Rarely, STN-DBS itself can induce FoG.
View Article and Find Full Text PDFIEEE Internet Things J
August 2025
Geometric Media Lab, School of Arts, Media and Engineering and School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA.
Human gait analysis with wearable sensors has been widely used in various applications, such as daily life healthcare, rehabilitation, physical therapy, and clinical diagnostics and monitoring. In particular, ground reaction force (GRF) provides critical information about how the body interacts with the ground during locomotion. Although instrumented treadmills have been widely used as the gold standard for measuring GRF during walking, their lack of portability and high cost make them impractical for many applications.
View Article and Find Full Text PDFFront Neurol
August 2025
Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Gait deficits and leg spasticity are frequent symptoms in Primary and Secondary Progressive Multiple Sclerosis (PPMS and SPMS). Transcutaneous spinal cord stimulation (tSCS) may alleviate these symptoms through the reduction of spinal hyperexcitability. We conducted a single-center, randomized, sham-controlled clinical crossover study (German Clinical Trials Register: DRKS00023357, https://www.
View Article and Find Full Text PDFMov Disord Clin Pract
September 2025
Department of Physical Medicine and Rehabilitation, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, USA.
Background: The Scale for the Assessment and Rating of Ataxia (SARA) is the most used outcome measure in clinical trials for cerebellar ataxias. The minimal clinically important difference (MCID), a parameter used to assess meaningful change, is not clearly defined.
Objective: To help define MCID for SARA.
Gait Posture
August 2025
Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Background: During pregnancy, significant physiological, morphological, and hormonal changes profoundly affect women's biomechanics, increasing the risk of falls and musculoskeletal complaints, especially in the third trimester. To understand movement adaptations and musculoskeletal disorders in pregnant women, kinetic analysis using pregnant-specific multi-segment or musculoskeletal models is essential. This review aims to evaluate the development, applications and limitations of such models intended for kinetic analysis in pregnancy.
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