ArticleScientific data2026
An fNIRS Dataset for Cognitive Decoding during a Multi-day Block-design Stroop Task.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Cognitive state decoding is key to brain-computer interface technology, serves as a promising tool for psychiatric diagnosis and rehabilitation, and offers a novel perspective for neuroscientific study. Datasets for decoding cognitive states using optical neuroimaging modalities remain scarce. To address this, we provide an fNIRS dataset acquired during a Stroop task, consisting of frontal hemoglobin responses from 55 young adults. Each participant completed three sessions of color-word Stroop task within approximately 2 weeks, to collect more than 30 trials per condition while avoiding mental fatigue caused by a single session. This dataset supports a range of applications, from studying conflict inhibition to building decoders for neurofeedback training and large-scale cross-subject fNIRS models, while also facilitating the development of signal processing algorithms for hemodynamic signals.
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