A high-density diffuse optical tomography dataset of naturalistic viewing

Area of Science:

• Cognitive Neuroscience
• Neuroimaging

Background:

• Traditional lab tasks lack real-world ecological validity.
• Naturalistic stimuli like movies engage broader cognitive processes.
• Need for rich, naturalistic datasets in cognitive neuroscience.

Purpose of the Study:

• To present a new dataset of cortical activity.
• To enable methods exploration in cognitive neuroscience.
• To facilitate the study of cognitive phenomena using naturalistic stimuli.

Main Methods:

• Collected functional near-infrared spectroscopy (fNIRS) data from 58 healthy adults (18-76 years).
• Participants viewed 10 minutes of "The Good, the Bad, and the Ugly".
• High-density diffuse optical tomography mapped cortical responses across major brain lobes.

Main Results:

• Acquired 106 sessions of brain activity data.
• Mapped cortical responses in occipital, temporal, parietal, and frontal lobes.
• Quantified intersubject correlation to assess data consistency.

Conclusions:

• The dataset provides a valuable resource for cognitive neuroscience.
• Suitable for exploring novel analysis techniques.
• Facilitates research into brain function during naturalistic viewing.