A neuroimaging dataset during sequential color qualia similarity judgments with and without reports

Recent neuroscientific research has advanced our understanding of consciousness, yet the connection between specific qualitative aspects of consciousness, known as "qualia," and particular brain regions or networks remains elusive. Traditional methods that rely on verbal descriptions from participants pose challenges in neuroimaging studies. To address this, our group has introduced a novel "qualia structure" paradigm that leverages exhaustive, structural, and relational comparisons among qualia instead of verbal reports. In this study, we present the fMRI dataset that captures relational similarity judgments among two out of nine color qualia per trial from 35 participants. This dataset also includes a "no-report" condition in half of the trials to assess the impact of overt reporting. Additionally, each participant's color discriminability was evaluated with a hue test conducted outside the scanner. Our data offer valuable insights into the brain functions associated with color qualia and contribute to a deeper understanding of the neural foundations of consciousness.

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Publication Details

Journal
Scientific Data
Published
2025-03-06
DOI
https://doi.org/10.1038/s41597-025-04511-0
Citations
6
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
8.59
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article

A neuroimaging dataset during sequential color qualia similarity judgments with and without reports

Makoto Higuchi, Naotsugu Tsuchiya, Mitsuhiro Miyamae, Yuhei Takado et al.
6 citations
Scientific Data
Neural dynamics and brain function
8.59
article

A neuroimaging dataset during sequential color qualia similarity judgments with and without reports

Makoto Higuchi, Naotsugu Tsuchiya, Mitsuhiro Miyamae, Yuhei Takado, Takayuki Obata, Daisuke Matsuyoshi, Makiko Yamada, Takahiro Hirao, Ryuto Inoue
article en
6 citations

Abstract

Recent neuroscientific research has advanced our understanding of consciousness, yet the connection between specific qualitative aspects of consciousness, known as "qualia," and particular brain regions or networks remains elusive. Traditional methods that rely on verbal descriptions from participants pose challenges in neuroimaging studies. To address this, our group has introduced a novel "qualia structure" paradigm that leverages exhaustive, structural, and relational comparisons among qualia instead of verbal reports. In this study, we present the fMRI dataset that captures relational similarity judgments among two out of nine color qualia per trial from 35 participants. This dataset also includes a "no-report" condition in half of the trials to assess the impact of overt reporting. Additionally, each participant's color discriminability was evaluated with a hue test conducted outside the scanner. Our data offer valuable insights into the brain functions associated with color qualia and contribute to a deeper understanding of the neural foundations of consciousness.

Scientific DataVol. 12(1)
Waseda University (JP), Chiba University (JP), Tohoku University (JP), National Center of Neurology and Psychiatry (JP), Advanced Telecommunications Research Institute International (JP), National Institutes for Quantum Science and Technology (JP), Monash University (AU), National Institute of Information and Communications Technology (JP)
Openalex Percentile: Top 2%
Neural dynamics and brain function
8.59
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