Evidence map›Paper›PMID 38958281›Full record

ArticleJournal of neurophysiology2024

Precision mapping of the default network reveals common and distinct (inter) activity for autobiographical memory and theory of mind.

Colleen Hughes, Roni Setton, Laetitia Mwilambwe-Tshilobo, Giulia Baracchini, Gary R Turner, R Nathan Spreng

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Parallel systems for social and spatial cognition reaching the cortical apex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. 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

6 authors.

Colleen HughesMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-0632-4060
Roni SettonPsychology Department, Harvard University, Cambridge, Massachusetts, United States.
Laetitia Mwilambwe-TshiloboPsychology Department, Princeton University, Princeton, New Jersey, United States.
Giulia BaracchiniMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.
Gary R TurnerDepartment of Psychology, York University, Toronto, Ontario, Canada.
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.

Funding

Uncovering and Surveilling Financial Deception Risk in Aging (Diversity Supplement to 1R01AG057764-01A1)R01AG057764 · NIA · UNIVERSITY OF FLORIDA · PI EBNER, NATALIE C, SPRENG, ROBERT NATHAN · 2018 to 2022
$2.5M
Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
3T MR scanner for imaging from mouse to humanS10RR025145 · NCRR · CORNELL UNIVERSITY · PI WANG, YI · 2009 to 2009
$2.0M
Canadian Government | Canadian Institutes of Health Research (CIHR) 181831FRQ | Fonds de Recherche du Québec - Santé (FRQS) 320680HHS | National Institutes of Health (NIH) 1S10RR025145HHS | NIH | National Institute on Aging (NIA) R01AG057764HHS | NIH | National Institute on Aging (NIA) R01AG068563NCRR NIH HHS S10 RR025145NIA NIH HHS R01 AG057764NIA NIH HHS R01 AG068563
6 · The paper itself

Abstract

The default network is widely implicated as a common neural substrate for self-generated thought, such as remembering one's past (autobiographical memory) and imagining the thoughts and feelings of others (theory of mind). Findings that the default network comprises subnetworks of regions, some commonly and some distinctly involved across processes, suggest that one's own experiences inform their understanding of others. With the advent of precision functional MRI (fMRI) methods, however, it is unclear if this shared substrate is observed instead due to traditional group analysis methods. We investigated this possibility using a novel combination of methodological strategies. Twenty-three participants underwent multi-echo resting-state and task fMRI. We used their resting-state scans to conduct cortical parcellation sensitive to individual variation while preserving our ability to conduct group analysis. Using multivariate analyses, we assessed the functional activation and connectivity profiles of default network regions while participants engaged in autobiographical memory, theory of mind, or a sensorimotor control condition. Across the default network, we observed stronger activity associated with both autobiographical memory and theory of mind compared to the control condition. Nonetheless, we also observed that some regions showed preferential activity to either experimental condition, in line with past work. The connectivity results similarly indicated shared and distinct functional profiles. Our results support that autobiographical memory and theory of mind, two theoretically important and widely studied domains of social cognition, evoke common and distinct aspects of the default network even when ensuring high fidelity to individual-specific characteristics.

Indexed as

Default Mode NetworkMagnetic Resonance ImagingMemory, EpisodicTheory of MindAdultBrain MappingConnectomeFemaleHumansMaleYoung Adultautobiographical memorydefault networkfunctional magnetic resonance imagingmulti-echotheory of mind

Identifiers

PMID38958281
PMCPMC11427040

What OpenQuestion holds

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Registered trials

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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.