Cortical Activity and Gait Data for Chronic Low Back Pain Study

A cross-sectional study by Fan Jiang, last updated in 2026, compares cortical activity and gait parameters between 18 individuals with chronic nonspecific low back pain and 18 healthy controls. Data includes functional near-infrared spectroscopy (fNIRS) measurements from multiple brain regions and gait metrics from a 3D analysis system across single and dual-task conditions. The dataset is 17.5 KB in size and shared under a CC-BY-4.0 license.

Use Cases

• Compare cortical activation patterns between patient and control groups based on fNIRS data from the PMC/SMA, M1, SAC, and S1 regions.
• Analyze correlations between gait parameters (e.g., velocity, step length) and brain activity during walking tasks.
• Investigate the impact of cognitive-walking dual tasks on motor performance in chronic pain populations.
• Study central sensitization mechanisms by examining somatosensory cortex activity during simple tasks.

Strengths

• Includes data from 36 total participants (18 patients, 18 controls), enabling group comparisons.
• Multimodal data collection combines fNIRS brain imaging with 3D gait analysis for seven specific parameters.
• Experimental design includes three controlled task conditions (single walking, single cognitive, dual-task).
• Results include specific p-values for significant findings, such as lower velocity (p=0.029) in patients during Task 1.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (17.5 KB), indicating limited scope, likely containing summary results rather than raw time-series data.

Provenance

Source

Fan Jiang via figshare

Collection Method

Cross-sectional study using fNIRS and a three-dimensional gait analysis system.

Freshness

Last updated 2026-04-23 05:34:41; freshness should be verified.