fNIRS Dataset for Stroop Decoding: Frontal Hemoglobin Responses from 55 Young Adults

fNIRS Dataset for Stroop Decoding provides functional near-infrared spectroscopy data acquired during a color-word Stroop task. The dataset consists of frontal hemoglobin responses from 55 young adults, with each participant completing three sessions over approximately two weeks to collect more than 30 trials per condition. It was authored by Zeng Lingwei and last updated on 2026-05-29.

Use Cases

• Studying conflict inhibition based on frontal hemodynamic responses during the Stroop task.
• Building decoders for neurofeedback training based on fNIRS signals.
• Developing large-scale cross-subject fNIRS models based on data from 55 participants.
• Creating signal processing algorithms for hemodynamic signals based on the provided time-series data.

Strengths

• Contains data from 55 participants, which suggests a substantial sample size for neuroimaging.
• Designed to mitigate mental fatigue by collecting data over three sessions within approximately two weeks.
• Includes more than 30 trials per condition, which may support robust statistical analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

Zeng Lingwei via figshare

Collection Method

fNIRS data acquired during a color-word Stroop task from 55 young adults.

Freshness

Last updated 2026-05-29 08:30:32; freshness should be verified.