Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts

Abstract Humans constantly recall past experiences and anticipate future events, generating a continuous flow of thoughts. However, the neural mechanisms underlying the natural transitions and trajectories of thoughts during spontaneous memory recall and future thinking remain underexplored. To addr...

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Main Authors: Haowen Su, Xian Li, Savannah Born, Christopher J. Honey, Janice Chen, Hongmi Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61807-w
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author Haowen Su
Xian Li
Savannah Born
Christopher J. Honey
Janice Chen
Hongmi Lee
author_facet Haowen Su
Xian Li
Savannah Born
Christopher J. Honey
Janice Chen
Hongmi Lee
author_sort Haowen Su
collection DOAJ
description Abstract Humans constantly recall past experiences and anticipate future events, generating a continuous flow of thoughts. However, the neural mechanisms underlying the natural transitions and trajectories of thoughts during spontaneous memory recall and future thinking remain underexplored. To address this gap, we conducted a functional magnetic resonance imaging study using a think-aloud paradigm, where participants verbalize their uninterrupted stream of thoughts during rest. We found that transitions between thoughts, particularly those involving significant shifts in semantic content, activate the brain’s default and control networks. These neural responses to internally generated thought boundaries produce activation patterns resembling those triggered by external event boundaries. Moreover, interactions within and between these networks shape the overall semantic structure of thought trajectories. Specifically, stronger functional connectivity within the medial temporal subsystem of the default network predicts greater variability in thoughts, while stronger connectivity between the control and core default networks is associated with reduced variability. Together, our findings highlight how the default and control networks guide the dynamic transitions and structure of naturally arising memory and future thinking.
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spelling doaj-art-6cb9dc9b0dab4fe4b6c8d811485af1282025-08-20T03:46:23ZengNature PortfolioNature Communications2041-17232025-07-0116111810.1038/s41467-025-61807-wNeural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughtsHaowen Su0Xian Li1Savannah Born2Christopher J. Honey3Janice Chen4Hongmi Lee5Department of Psychological Sciences, Purdue UniversityDepartment of Psychological and Brain Sciences, Johns Hopkins UniversityDepartment of Psychological and Brain Sciences, Washington University in St. LouisDepartment of Psychological and Brain Sciences, Johns Hopkins UniversityDepartment of Psychological and Brain Sciences, Johns Hopkins UniversityDepartment of Psychological Sciences, Purdue UniversityAbstract Humans constantly recall past experiences and anticipate future events, generating a continuous flow of thoughts. However, the neural mechanisms underlying the natural transitions and trajectories of thoughts during spontaneous memory recall and future thinking remain underexplored. To address this gap, we conducted a functional magnetic resonance imaging study using a think-aloud paradigm, where participants verbalize their uninterrupted stream of thoughts during rest. We found that transitions between thoughts, particularly those involving significant shifts in semantic content, activate the brain’s default and control networks. These neural responses to internally generated thought boundaries produce activation patterns resembling those triggered by external event boundaries. Moreover, interactions within and between these networks shape the overall semantic structure of thought trajectories. Specifically, stronger functional connectivity within the medial temporal subsystem of the default network predicts greater variability in thoughts, while stronger connectivity between the control and core default networks is associated with reduced variability. Together, our findings highlight how the default and control networks guide the dynamic transitions and structure of naturally arising memory and future thinking.https://doi.org/10.1038/s41467-025-61807-w
spellingShingle Haowen Su
Xian Li
Savannah Born
Christopher J. Honey
Janice Chen
Hongmi Lee
Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
Nature Communications
title Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
title_full Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
title_fullStr Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
title_full_unstemmed Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
title_short Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
title_sort neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts
url https://doi.org/10.1038/s41467-025-61807-w
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