Network Configurations in the Human Brain Reflect Choice Bias during Rapid Face Processing

Area of Science:

• Neuroscience
• Cognitive Science
• Systems Biology

Background:

• Brain network interactions are crucial for perception and cognition.
• Balancing existing knowledge with new stimuli requires high-level and perceptual region interplay.
• Simultaneous electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) offers spatiotemporal brain activity analysis.

Purpose of the Study:

• To investigate network relationships between brain areas during face versus non-face categorization.
• To characterize the dynamical systems underlying perceptual decision-making.
• To link network interactions to behavioral biases in visual perception.

Main Methods:

• Simultaneous EEG/fMRI data acquisition from 21 human subjects.
• Multivariate dynamical systems (MDS) analysis of BOLD signals.
• Characterization of early perceptual and late frontal subsystems.

Main Results:

• Identified distinct early perceptual and late frontal subsystems for face categorization.
• Observed differences in network interactions between face-choice and house-choice conditions.
• Found a positive correlation between network interaction magnitude and false-positive face choices.

Conclusions:

• Network interactions between early and late brain subsystems significantly influence face perception bias.
• Frontal regions' saliency and expectations impact early perceptual processing.
• Spatiotemporal network properties provide insights into decision-making mechanisms.