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.
Authors
- Kouji Maeda (ORCID: https://orcid.org/0000-0003-0042-2732)
- Takayuki Kodama (ORCID: https://orcid.org/0000-0001-8784-6452)
- Ryosuke Yamauchi (ORCID: https://orcid.org/0000-0003-3790-5439)
- D. Harada (ORCID: https://orcid.org/0000-0002-0792-0569)
- Kohei Okuyama (ORCID: https://orcid.org/0000-0001-9876-1307)
Institutions
- Kyoto Tachibana University (JP)
- Bukkyo University (JP)
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