Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis

Stepping accuracy relies on a distributed neural network, with the ACC playing a central role in performance monitoring. We propose an integrated framework comprising the following systems: error monitoring (ACC), sensorimotor integration (paracentral lobules), and visuospatial processing (precuneus and occipital regions). These findings highlight the importance of neural oscillatory mechanisms in precise motor control and offer insights for rehabilitation strategies and fall prevention programs.

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Publication Details

Journal
Brain Sciences
Published
2025-03-29
DOI
https://doi.org/10.3390/brainsci15040356
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis

Kouji Maeda, Takayuki Kodama, Ryosuke Yamauchi, D. Harada et al.
Brain Sciences
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article

Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis

Kouji Maeda, Takayuki Kodama, Ryosuke Yamauchi, D. Harada, Kohei Okuyama
article en

Abstract

Stepping accuracy relies on a distributed neural network, with the ACC playing a central role in performance monitoring. We propose an integrated framework comprising the following systems: error monitoring (ACC), sensorimotor integration (paracentral lobules), and visuospatial processing (precuneus and occipital regions). These findings highlight the importance of neural oscillatory mechanisms in precise motor control and offer insights for rehabilitation strategies and fall prevention programs.

Brain SciencesVol. 15(4)
Kyoto Tachibana University (JP), Bukkyo University (JP)
Openalex Percentile: Top 97%
Neural Networks and Applications
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