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fNIRS Data for Different Rivalry Color Pairs

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posted on 2025-01-06, 09:26 authored by Zaiqing ChenZaiqing Chen

This dataset comprises preprocessed functional Near-Infrared Spectroscopy (fNIRS) measurements, detailing changes in blood oxygen saturation levels in response to four stimuli of binocular color rivalry among 16 participants. The color contrasts include Red-Green (R-G), Yellow-Blue (Y-B), Red-Yellow versus Green-Blue (RY-GB), and Red-Green versus Yellow-Blue (RG-YB). Utilizing multiple source-detector pairs distributed across the scalp (e.g., S4-D2, S5-D3), we capture dynamic changes in hemoglobin concentration within cortical regions of the brain, reflecting immediate responses to visual stimuli.

Each record represents an observation at a specific time point, encompassing channel numbers, source-detector pair identifiers, and two key metrics: Mean Hemoglobin Oxygenation (Mean-HbO) and Difference in Hemoglobin Oxygenation (Difference-HbO). The Mean-HbO indicates changes in hemoglobin concentration relative to baseline levels, whereas Difference-HbO denotes relative variations compared to a reference condition. This design facilitates in-depth analysis of brain response patterns to varying color stimuli and exploration of both inter-individual and intra-individual changes over time.


All data have undergone a series of preprocessing steps aimed at optimizing signal quality and minimizing noise interference, ensuring the accuracy of the analytical outcomes. Consequently, this dataset provides a robust foundation for investigating activity patterns in the brain during visual stimulation, particularly in color recognition tasks. It not only aids in understanding color preference and its underlying neural mechanisms but also validates fNIRS as an effective tool for cognitive science research.

The dataset thus serves as a valuable resource for researchers seeking to explore how different colors influence brain activity and offers insights into the neurophysiological basis of visual processing.

Funding

National Science Foundation of China (62165019)

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