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Effects of rhythmic visual cues on cortical activation and functional connectivity features during stepping: an fNIRS study.

Jiajia Wu | Huilin Zhou | Hao Chen | Wensong Jiang | Xuelian Wang | Tao Meng | Chaowen Wu | Li Li | Yuemin Wu | Weinv Fan | Changcheng Shi | Guokun Zuo
Frontiers in human neuroscience | 2024

Rhythmic visual cues (RVCs) may influence gait initiation by modulating cognition resources. However, it is unknown how RVCs modulate cognitive resources allocation during gait movements. This study focused on investigating the effects of RVCs on cortical hemodynamic response features during stepping to evaluate the changes of cognitive resources.

Pubmed ID: 38410257

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This is a list of tools and resources that we have found mentioned in this publication.


Homer2 (tool)

RRID:SCR_009586

Software matlab scripts used for analyzing fNIRS data to obtain estimates and maps of brain activation. Graphical user interface (GUI) for visualization and analysis of functional near-infrared spectroscopy (fNIRS) data.

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NIRS-SPM (tool)

RRID:SCR_009630

A SPM and MATLAB-based software package for statistical analysis of near-infrared spectroscopy (NIRS) signals. Based on the general linear model (GLM), and Sun's tube formula / Lipschitz-Killing curvature (LKC) based expected Euler characteristics, NIRS-SPM not only provides activation maps of oxy-, deoxy-, and total-hemoglobin, but also allows for super-resolution activation localization. Additional features, including a wavelet-minimum description length detrending algorithm and cerebral metabolic rate of oxygen (CMRO2) estimation without hypercapnia, were implemented in the NIRS-SPM software package.

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