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2026-08-06 00:00 China Papers Foundations & Methods Translated from EN

Air Force Medical University Releases Multi-Day fNIRS Stroop Dataset from 55 Adults

Summary Researchers at Air Force Medical University have published a functional near-infrared spectroscopy (fNIRS) dataset in Scientific Data: frontal hemoglobin responses from 55 young adults, each recorded across three color-word Stroop sessions spread over about two weeks, with more than 30 trials per condition. The authors offer it for work on conflict inhibition, for building decoders for neurofeedback training, and for training large-scale cross-subject fNIRS models.
Why it matters Repeat-session data is the scarce ingredient in fNIRS, because without it there is no way to tell whether a decoder has learned a cognitive state or one day's optode placement, and three sessions per subject across 55 people is enough to start testing that.

BCIwiki (bciwiki.com) — Researchers at the Fourth Military Medical University published an fNIRS dataset acquired during a multi-day Stroop task, comprising frontal hemoglobin responses from 55 young adults, providing a new optical neuroimaging resource for cognitive state decoding in brain-computer interfaces. The study was published online on August 6, 2026, in Scientific Data, by authors Zeng L, Sun K, Yuan Y, Gao Y, Wang X, and Wen Z, affiliated with the Department of Medical Psychology and the Department of Aerospace Medicine at the Fourth Military Medical University.

The dataset was collected from 55 young adults, each completing three sessions of a color-word Stroop task within approximately 2 weeks, with more than 30 trials per condition to avoid mental fatigue caused by a single session. The team noted that datasets for decoding cognitive states using optical neuroimaging modalities remain scarce. The dataset supports applications ranging from studying conflict inhibition to building decoders for neurofeedback training and large-scale cross-subject fNIRS models, as well as facilitating the development of signal processing algorithms for hemodynamic signals.

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