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Background: Older adults with Mild Cognitive Impairment (MCI) are often subject to cognitive and gait deficits. Interactive Computerized Cognitive Training (ICCT) may improve cognitive function; however, the effect of such training on gait performance is limited. Transcranial Direct Current Stimulation (tDCS) improves cognition and gait performance. It remains unclear whether combining tDCS with ICCT produces an enhanced synergistic effect on cognition and complex gait performance relative to ICCT alone. This study aimed to compare the effects of tDCS combined with ICCT on cognition and gait performance in older adults with MCI.
Method: Twenty-one older adults with MCI were randomly assigned to groups receiving either anodal tDCS and ICCT ( tDCS + ICCT ) or sham tDCS and ICCT ( sham + ICCT ). Participants played Nintendo Switch cognitive games for 40 min per session, simultaneously receiving either anodal or sham tDCS over the left dorsolateral prefrontal cortex for the first 20 min. Cognitive and gait assessments were performed before and after 15 training sessions.
Results: The global cognition, executive function, and working-memory scores improved in both groups, but there were no significant interaction effects on cognitive outcomes. Additionally, the group × time interactions indicated that tDCS + ICCT significantly enhanced dual-task gait performance in terms of gait speed (p = 0.045), variability (p = 0.016), and dual-task cost (p = 0.039) compared to sham + ICCT.
Conclusion: The combined effect of tDCS and ICCT on cognition was not superior to that of ICCT alone; however, it had a significant impact on dual-task gait performance. Administering tDCS as an adjunct to ICCT may thus provide additional benefits for older adults with MCI.
Trial Registration: This trial was registered at http://www.
Clinicaltrials: in.th/ (TCTR 20,220,328,009).
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http://dx.doi.org/10.1186/s12984-024-01313-0 | DOI Listing |
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Department for Plastic Surgery, Hand Surgery-Burn Center, Division for Plexus Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen, 52074 North Rhine-Westphalia, Germany.
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DUT School of Software Technology & DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian 116620, China.
Achieving both high sensitivity and a wide detection range in flexible pressure sensors poses a challenge due to their inherent trade-off. Although porous structures offer promising solutions, conventional methods (templating, foaming, and freeze-drying) fail to precisely control cavity dimensions, spatial arrangement, and 3D morphology, which are crucial for sensing performance. Here, we propose a scalable fabrication strategy that integrates triply periodic minimal surface (TPMS) geometries─precisely engineered via FDM 3D printing─with ultrasonic impregnation of carbon black (CB) into TPU scaffolds.
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Department of Psychology, Wayne State University, Detroit, MI, 48202, USA; Institute of Gerontology, Wayne State University, Detroit, MI, 48202, USA; Translational Neuroscience Program, Wayne State University, Detroit, MI, 48201, USA. Electronic address:
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View Article and Find Full Text PDFIEEE Internet Things J
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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.
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