Precision Mapping of the Default Network Reveals Common and Distinct (Inter)activity for Autobiographical Memory and Theory of Mind

自传体记忆 心理学 默认模式网络 认知心理学 神经科学 心理理论 情景记忆 认知科学 功能连接 计算机科学 认知
作者
Colleen Hughes,Roni Setton,Laetitia Mwilambwe-Tshilobo,Giulia Baracchini,Gary R. Turner,R. Nathan Spreng
出处
期刊:Journal of Neurophysiology [American Physiological Society]
卷期号:132 (2): 375-388
标识
DOI:10.1152/jn.00427.2023
摘要

The default network is widely implicated as a common neural substrate for self-generated thought, such as remembering one's past (autobiographical memory) and imagining the thoughts and feelings of others (theory of mind). Findings that the default network comprises subnetworks of regions, some commonly and some distinctly involved across processes, suggest that one's own experiences inform their understanding of others. With the advent of precision functional MRI (fMRI) methods, however, it is unclear if this shared substrate is observed instead due to traditional group analysis methods. We investigated this possibility using a novel combination of methodological strategies. Twenty-three participants underwent multi-echo resting-state and task fMRI. We used their resting-state scans to conduct cortical parcellation sensitive to individual variation while preserving our ability to conduct group analysis. Using multivariate analyses, we assessed the functional activation and connectivity profiles of default network regions while participants engaged in autobiographical memory, theory of mind, or a sensorimotor control condition. Across the default network, we observed stronger activity associated with both autobiographical memory and theory of mind compared to the control condition. Nonetheless, we also observed that some regions showed preferential activity to either experimental condition, in line with past work. The connectivity results similarly indicated shared and distinct functional profiles. Our results support that autobiographical memory and theory of mind, two theoretically important and widely studied domains of social cognition, evoke common and distinct aspects of the default network even when ensuring high fidelity to individual-specific characteristics.
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