Temporal signatures of thought—neurodynamics distinguish on- and off-task thoughts

Our thoughts fluctuate dynamically, driven either by external stimuli and tasks (on-task thoughts) or drifting to task-unrelated contents (off-task thoughts or mind wandering). Although research has identified neural markers distinguishing different thought types, the temporal signature (dynamics) of on- and off-task thoughts remains poorly understood. This EEG study investigated different neurodynamical features-autocorrelation window (ACW), Lempel-Ziv complexity (LZC), power-law exponent (PLE), and median frequency (MF)-to differentiate these thoughts in their underlying dynamics during a signal-response task. Off-task thoughts exhibited prolonged ACW, reduced LZC, increased PLE, and smaller MF compared to on-task thoughts, establishing a distinct neurodynamic signature. Through statistical modeling, we identified a hierarchical background-foreground structure among these measures that unfolds along a temporal continuum, transitioning from longer block-level (17-second) to shorter trial-level (3-second) timescale. Notably, the longer background (block-level ACW) and shorter foreground (trial-level ACW and LZC) layers are tightly coupled during the "faster and shorter" on-task thoughts whereas they are more loosely related during "slower and longer" off-task thoughts. These findings, replicated in an independent dataset, demonstrate how the organization of our brain's dynamics, along a temporal continuum of longer background durations to shorter foreground durations, shapes on-task and off-task thoughts thereby yielding their distinct signatures.

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Publication Details

Journal
Communications Biology
Published
2026-02-16
DOI
https://doi.org/10.1038/s42003-026-09715-7
Primary Topic
Mind wandering and attention
Type
article
Field-Weighted Citation Impact
0.00

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article

Temporal signatures of thought—neurodynamics distinguish on- and off-task thoughts

Zhengkun Long, Xiaolan Fu, Qi Chen, Jianfeng Zhang
Communications Biology
Mind wandering and attention
article

Temporal signatures of thought—neurodynamics distinguish on- and off-task thoughts

Zhengkun Long, Xiaolan Fu, Qi Chen, Jianfeng Zhang
article en

Abstract

Our thoughts fluctuate dynamically, driven either by external stimuli and tasks (on-task thoughts) or drifting to task-unrelated contents (off-task thoughts or mind wandering). Although research has identified neural markers distinguishing different thought types, the temporal signature (dynamics) of on- and off-task thoughts remains poorly understood. This EEG study investigated different neurodynamical features-autocorrelation window (ACW), Lempel-Ziv complexity (LZC), power-law exponent (PLE), and median frequency (MF)-to differentiate these thoughts in their underlying dynamics during a signal-response task. Off-task thoughts exhibited prolonged ACW, reduced LZC, increased PLE, and smaller MF compared to on-task thoughts, establishing a distinct neurodynamic signature. Through statistical modeling, we identified a hierarchical background-foreground structure among these measures that unfolds along a temporal continuum, transitioning from longer block-level (17-second) to shorter trial-level (3-second) timescale. Notably, the longer background (block-level ACW) and shorter foreground (trial-level ACW and LZC) layers are tightly coupled during the "faster and shorter" on-task thoughts whereas they are more loosely related during "slower and longer" off-task thoughts. These findings, replicated in an independent dataset, demonstrate how the organization of our brain's dynamics, along a temporal continuum of longer background durations to shorter foreground durations, shapes on-task and off-task thoughts thereby yielding their distinct signatures.

Communications BiologyVol. 9(1)
Shenzhen University (CN), Shanghai Jiao Tong University (CN), Royal Ottawa Mental Health Centre (CA), Shenzhen Institute of Neuroscience (CN), Institute of Psychology, Chinese Academy of Sciences (CN), Institute of Mechanics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Shanghai Jiao Tong University, Shenzhen University, Canadian Institutes of Health Research, National Key Research and Development Program of China
Peace, Justice and strong institutions
Openalex Percentile: Top 56%
Mind wandering and attention
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