Table 2_Brain cortex activity of patients with disorders of consciousness under familiar a

Jinqin Zhang's dataset contains functional near-infrared spectroscopy (fNIRS) data from a study of 64 patients with disorders of consciousness. It records cortical activation patterns elicited by auditory stimulation using familiar versus unfamiliar voices calling the subject's own name. The dataset was last updated on June 4, 2026.

Use Cases

• Compare cortical activation patterns between familiar and unfamiliar voice stimuli based on fNIRS metrics.
• Investigate correlations between brain activity peaks and Coma Recovery Scale-Revised (CRS-R) scores.
• Analyze differences in hemodynamic response features like peak value and initial slope across brain regions.
• Guide personalized rehabilitation strategies based on individual neural responses to auditory stimuli.

Strengths

• Dataset includes data from 64 participants with disorders of consciousness.
• Measures brain activity using fNIRS, a method noted for high portability and spatial resolution.
• Links neural activation metrics to clinical assessment scores from the CRS-R.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Jinqin Zhang via figshare.

Collection Method

Data collected via fNIRS during auditory sensory stimulation experiments.

Freshness

Last updated 2026-06-04 04:27:24; freshness should be verified.