Evidence map›Paper›PMID 41945445›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

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

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

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Sender-receiver subdivisions of the default mode network in perceptual and memory-guided cognition.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Meichao ZhangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0001-9594-7229
Casey PaquolaInstitute for Neuroscience and Medicine, Forschungszentrum Juelich, Juelich 52425, Germany.
Katya Krieger-RedwoodDepartment of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom.ORCID 0000-0003-4143-1168
Brontë MckeownDepartment of Psychology, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-4204-2001
Charlotte MurphyDepartment of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom.
Chang LiuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Daniel S MarguliesIntegrative Neuroscience and Cognition Centre, Centre National de la Recherche Scientifique and Université de Paris, Paris 75006, France.ORCID 0000-0002-8880-9204
Robert LeechInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom.
Jonathan SmallwoodDepartment of Psychology, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-7298-2459
Elizabeth JefferiesDepartment of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom.ORCID 0000-0002-3826-4330

Funding

EC | European Research Council (ERC) 646927- WANDERINGMINDSEC | European Research Council (ERC) 771863 - FLEXSEMMOST | National Natural Science Foundation of China (NSFC) 32300882
6 · The paper itself

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.

Indexed as

BrainCognitionDefault Mode NetworkMemoryAdultBrain MappingDecision MakingFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adultdefault mode networkfunctional connectivityinternal-external attentionmemoryperception

Identifiers

PMID41945445
PMCPMC13079981

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.