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Midlife risk factors such as type 2 diabetes mellitus (T2DM) confer a significantly increased risk of cognitive impairment in later life with executive function, memory, and attention domains often affected first. Spatiotemporal gait characteristics are emerging as important integrative biomarkers of neurocognitive function and of later dementia risk. We examined 24 spatiotemporal gait parameters across five domains of gait previously linked to cognitive function on usual-pace, maximal-pace, and cognitive dual-task gait conditions in 102 middle-aged adults with (57.5 ± 8.0 years; 40% female) and without (57.0 ± 8.3 years; 62.1% female) T2DM. Neurocognitive function was measured using a neuropsychological assessment battery. T2DM was associated with significant changes in gait phases and rhythm domains at usual pace, and greater gait variability observed during maximal pace and dual tasks. In the overall cohort, both the gait pace and rhythm domains were associated with memory and executive function during usual pace. At maximal pace, gait pace parameters were associated with reaction time and delayed memory. During the cognitive dual task, associations between gait variability and both delayed memory/executive function were observed. Associations persisted following covariate adjustment and did not differ by T2DM status. Principal components analysis identified a consistent association of slower gait pace (step/stride length) and increased gait variability during maximal-pace walking with poorer memory and executive function performance. These data support the use of spatiotemporal gait as an integrative biomarker of neurocognitive function in otherwise healthy middle-aged individuals and reveal discrete associations between both differing gait tasks and gait domains with domain-specific neuropsychological performance. Employing both maximal-pace and dual-task paradigms may be important in cognitively unimpaired populations with risk factors for later cognitive decline-with the aim of identifying individuals who may benefit from potential preventative interventions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11207228 | PMC |
http://dx.doi.org/10.3390/s24123903 | DOI Listing |
BMC Neurol
September 2025
Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.
Background: Parkinson's disease (PD) is characterized by motor symptoms altering gait domains such as slow walking speed, reduced step and stride length, and increased double support time. Gait disturbances occur in the early, mild to moderate, and advanced stages of the disease in both backward walking (BW) and forward walking (FW), but are more pronounced in BW. At this point, however, no information is available about BW performance and disease stages specified using the Hoehn and Yahr (H&Y) scale.
View Article and Find Full Text PDFGeroscience
September 2025
Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Degenerative cervical myelopathy (DCM) is a leading cause of non-traumatic spinal cord disorders in older adults. Gait instability and balance dysfunction are common in DCM, even in the absence of clinically evident lower limb weakness. We hypothesized that subclinical weakness, measured through maximal voluntary isometric contractions (MVICs) of the knee extensors and ankle plantar flexors, is associated with impaired gait and balance in individuals with DCM.
View Article and Find Full Text PDFGait Posture
August 2025
Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK. Electronic address:
Background: Gait impairments in Parkinson's disease (PD) arise from disruptions in automatic motor control, requiring compensatory engagement of cortical networks. This study compared resting-state functional connectivity in specific cortical regions (frontal, central, parietal, occipital, and temporal) between people with PD and healthy individuals and explored its potential association with multidimensional gait domains.
Methods: Twenty individuals with PD and 19 healthy controls participated.
Neural Netw
August 2025
College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, 511436, China. Electronic address:
Dynamic vision sensors (DVS) asynchronously encode the polarity of brightness changes with high temporal resolution and a wide dynamic range, making them ideal for capturing temporal information. Spiking neural networks (SNNs) are well-suited for handling such event streams due to their inherent temporal information processing capability. However, existing SNNs only transmit membrane potential across timesteps, neglecting spatial dependencies and failing to extract complex temporal features.
View Article and Find Full Text PDFAnn Rehabil Med
August 2025
Department of Physical Therapy for Neurology and Neurosurgery, Faculty of Physical Therapy, Cairo University, Giza, Egypt.
Objective: To examine the short-term and long-term effects of computer-based cognitive training on postural stability, locomotion, and cognitive performance in Parkinson's disease (PD) patients.
Methods: Sixty-eight PD participated in this randomized-controlled trial, were randomly allocated into two groups; control group (GA) received a designed physiotherapy program for 60 minutes, and an experimental group (GB) got 30 minutes physiotherapy program as GA, along with 30 minutes of computerized cognitive training. Treatment sessions were three times/week for eight weeks.