The divided brain: Functional brain asymmetry underlying self-construal.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Social Neuroscience

Background:

• Self-construal, encompassing independence and interdependence, significantly influences human behavior and is associated with numerous brain regions.
• Existing research lacks a comprehensive understanding of the connectivity within these self-related brain regions and the underlying principles of self-functions.
• Resting-state functional connectivity is a key method for studying intrinsic brain activity related to self-processes.

Purpose of the Study:

• To investigate the neural underpinnings of self-construal orientations (independence and interdependence) using resting-state functional connectivity.
• To determine which brain connectivity metrics—brain asymmetry, hemispheric specialization, brain communication, or global connectivity—best predict self-construal orientations.
• To identify specific network connections associated with independence and interdependence.

Main Methods:

• Analysis of resting-state functional connectivity matrices, focusing on brain asymmetry, hemispheric specialization, inter-hemispheric interactions, and global connectivity.
• Application of machine learning techniques combined with hypothesis-driven network mapping.
• Examination of connectivity patterns within and between the default mode network, salience network, and executive control network.

Main Results:

• Brain asymmetry was the most effective metric in predicting orientations of independence and interdependence compared to other connectivity measures.
• Distinct asymmetric connections were identified between the default mode network, salience network, and executive control network.
• These specific asymmetric network patterns characterize and differentiate between independence and interdependence.

Conclusions:

• Brain asymmetry plays a crucial role in the neural representation of complex self-functions.
• The findings highlight the importance of studying asymmetric connectivity for understanding how independence and interdependence are represented in brain networks.
• This research provides novel insights into the neural basis of self-construal.