Sender–receiver subdivisions of the default mode network in perceptual and memory-guided cognition

Everyday cognition depends on the brain's capacity to shift between sensing the external world and constructing it from memory. To achieve this, large-scale cortical systems must flexibly integrate incoming sensory signals with internally generated representations. Here, we show that this flexibility is reflected in the macroscale architecture of the default mode network (DMN). Using convergent analyses across three independent fMRI datasets spanning directional connectivity, intrinsic organization, and task-evoked responses, we identify spatially distinct DMN subregions that are preferentially engaged during perceptual decisions about faces or memory-guided decisions based on previously seen images. These subregions correspond to a microarchitectural distinction, captured via directional and intrinsic connectivity profiles: regions preferentially engaged during face perception align with receiver-like, afferent-biased zones that show strong intrinsic connectivity across the heteromodal cortex, a profile that might support information integration during perceptually guided decision-making. In contrast, memory-guided, perceptually decoupled decisions differentially engage sender-like, efferent-biased zones that show broader connectivity with perceptual-motor and attentional systems beyond the DMN. This double dissociation demonstrates a systematic association between DMN connectivity and engagement during perceptually coupled versus memory-guided cognitive processes, providing an organizational account of how DMN architecture relates to flexible human thought.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-04-07
DOI
https://doi.org/10.1073/pnas.2528851123
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00

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article

Sender–receiver subdivisions of the default mode network in perceptual and memory-guided cognition

Meichao Zhang, Robert Leech, Brontë Mckeown, Casey Paquola et al.
Proceedings of the National Academy of Sciences
Face Recognition and Perception
article

Sender–receiver subdivisions of the default mode network in perceptual and memory-guided cognition

Meichao Zhang, Robert Leech, Brontë Mckeown, Casey Paquola, Elizabeth Jefferies, Charlotte Murphy, Katya Krieger-Redwood, Daniel S. Margulies, Chang Liu, Jonathan Smallwood
article en

Abstract

Everyday cognition depends on the brain's capacity to shift between sensing the external world and constructing it from memory. To achieve this, large-scale cortical systems must flexibly integrate incoming sensory signals with internally generated representations. Here, we show that this flexibility is reflected in the macroscale architecture of the default mode network (DMN). Using convergent analyses across three independent fMRI datasets spanning directional connectivity, intrinsic organization, and task-evoked responses, we identify spatially distinct DMN subregions that are preferentially engaged during perceptual decisions about faces or memory-guided decisions based on previously seen images. These subregions correspond to a microarchitectural distinction, captured via directional and intrinsic connectivity profiles: regions preferentially engaged during face perception align with receiver-like, afferent-biased zones that show strong intrinsic connectivity across the heteromodal cortex, a profile that might support information integration during perceptually guided decision-making. In contrast, memory-guided, perceptually decoupled decisions differentially engage sender-like, efferent-biased zones that show broader connectivity with perceptual-motor and attentional systems beyond the DMN. This double dissociation demonstrates a systematic association between DMN connectivity and engagement during perceptually coupled versus memory-guided cognitive processes, providing an organizational account of how DMN architecture relates to flexible human thought.

Proceedings of the National Academy of SciencesVol. 123(15)
Forschungszentrum Jülich (DE), King's College London (GB), Chinese Academy of Sciences (CN), Queen's University (CA), Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), Centre de Recherches sur la Cognition Animale (FR), Czech Academy of Sciences, Institute of Psychology (CZ), University of Chinese Academy of Sciences (CN), University of York (GB)
National Natural Science Foundation of China, European Research Council
Peace, Justice and strong institutions
Openalex Percentile: Top 36%
Face Recognition and Perception
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