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Trends in Cognitive Sciences· Annemarie Wolff, Guillaume Dumas·· 2026-03-25AI 评分60

综述提出内在神经时间尺度与右侧颞顶联合区整合社会互动的框架

Coupled neural timescales in social interaction

AI 导读

Annemarie Wolff 与 Guillaume Dumas 在《Trends in Cognitive Sciences》发表综述,提出内在神经时间尺度(INTs)可能是社会互动中跨时间尺度信息整合的关键机制,右侧颞顶联合区(rTPJ)在其中充当关键枢纽。

摘要

Social interactions require integrating information across multiple timescales, yet the underlying mechanisms remain unclear. We review evidence suggesting that intrinsic neural timescales (INTs) may be a key mechanism enabling this integration, with the right temporoparietal junction (rTPJ) serving as a critical hub during social interactions. INTs form a cortical hierarchy for multiscale temporal processing, and differences in this hierarchy are linked to social impairments across neuropsychiatric conditions. The rTPJ dynamically integrates fast mirroring and slow mentalizing processes; interbrain synchrony there predicts success in social interactions, while mismatched timescales between individuals cause communication breakdowns. We propose that this INT and rTPJ framework unifies dual-process theories within a single neurophysiological mechanism, providing a novel, testable account of social interactions and their impairments.

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来源:Trends in Cognitive Sciences · cell.com