The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis
Open accessAbstract
A core brain network has been proposed to underlie a number of different processes, including remembering, prospection, navigation, and theory of mind [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences, 11, 49–57, 2007]. This purported network—medial prefrontal, medial-temporal, and medial and lateral parietal regions—is similar to that observed during default-mode processing and has been argued to represent self-projection [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences, 11, 49–57, 2007] or scene-construction [Hassabis, D., & Maguire, E. A. Deconstructing episodic memory with construction. Trends in Cognitive Sciences, 11, 299–306, 2007]. To date, no systematic and quantitative demonstration of evidence for this common network has been presented. Using the activation likelihood estimation (ALE) approach, we conducted four separate quantitative meta-analyses of neuroimaging studies on: (a) autobiographical memory, (b) navigation, (c) theory of mind, and (d) default mode. A conjunction analysis between these domains demonstrated a high degree of correspondence. We compared these findings to a separate ALE analysis of prospection studies and found additional correspondence. Across all domains, and consistent with the proposed network, correspondence was found within the medial-temporal lobe, precuneus, posterior cingulate, retrosplenial cortex, and the temporo-parietal junction. Additionally, this study revealed that the core network extends to lateral prefrontal and occipital cortices. Autobiographical memory, prospection, theory of mind, and default mode demonstrated further reliable involvement of the medial prefrontal cortex and lateral temporal cortices. Autobiographical memory and theory of mind, previously studied as distinct, exhibited extensive functional overlap. These findings represent quantitative evidence for a core network underlying a variety of cognitive domains.
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The DMN is implicated in a broad range of tasks probing social cognition and communication, with consistent activation patterns reported in the PCC, mPFC, AG, and adjoining temporal parietal junction.
“Consistent with this perspective, the DMN is implicated in a broad range of tasks probing social cognition and communication, with consistent activation patterns reported in the PCC, mPFC, AG, and adjoining temporal parietal junction. 42,43”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [43]
The Medial Parietal Regions, Medial Prefrontal Cortex, and Temporo-parietal Junction and Occipital Lobe sections (pages unavailable) report overlapping activity in the PCC, mPFC, and TPJ across the studied domains, including theory of mind. The paper does not establish consistent activation across a broad range of communication tasks; the Discussion raises narrative processing only as a possible additional domain. It also does not separately identify the angular gyrus as a consistent activation site. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe DMN is critical to negative self-referential processing such as rumination and worrying known to go awry in depression.
“The DMN includes medial cortical structures, such as the ventromedial prefrontal cortex and the posterior cingulate cortex, and it is critical to negative self-referential processing such as rumination and worrying known to go awry in depression (35–38).”
From Feasibility and preliminary efficacy of a novel RDoC-based treatment program for adolescent depression: "Training for Awareness Resilience and Action" (TARA)-A pilot study (2017) · cites this paper as [35]
The Default Mode section links the network to internally directed thought, and the Discussion says self-related processes are likely involved in default-mode processing. Neither passage establishes that the DMN is critical to negative self-referential processing, specifically rumination or worrying, or links those processes to depression (pages unavailable in our copy). (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe DMN plays a crucial role in episodic memory operations, particularly those related to personally relevant details of remembered experiences.
“The DMN plays a crucial role in episodic memory operations, particularly those related to personally relevant details of remembered experiences.”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [43]
The Discussion reports that autobiographical memory engages regions of the default-mode network and associates self-related processing with personal detail during recollection. The Autobiographical Memory section describes episodic recall of personal experiences. However, the Discussion explicitly cautions that overlap in brain activity does not establish a causal role, so the claim that the DMN plays a ‘crucial role’ is stronger than the paper supports. (LLM, conf=0.84)
Experimental — accuracy not yet measuredToM, autobiographical memory and resting-state cognition draw on a shared 'core' network including mPFC, precuneus, posterior cingulate and TPJ.
“ToM, autobiographical memory and resting-state cognition have been proposed to draw on a shared ‘core’ network including mPFC, precuneus, posterior cingulate and TPJ (Spreng et al., 2009).”
From The brain's conversation with itself: neural substrates of dialogic inner speech (2016) · cites this paper as Spreng et al., 2009
The profound deficits in simulating future events exhibited by patients with semantic dementia, despite a relative preservation of past episodic memory, suggest that other forms of self-projection, such as theory of mind, empathy and moral reasoning, may also be compromised.
“The profound deficits in simulating future events exhibited by patients with semantic dementia, despite a relative preservation of past episodic memory, suggest that other forms of self-projection, such as theory of mind, empathy and moral reasoning (Spreng et al., 2009), may also be compromised.”
From Considering the role of semantic memory in episodic future thinking: evidence from semantic dementia (2012) · cites this paper as Spreng et al., 2009
Recent studies suggest that the DMN consists of several subnetworks with diverse and specialized roles, including subnetworks specific for self-referential or social cognitive processing, or differentiating between the self and others.
“Recent studies suggest that the DMN consists of several subnetworks with diverse and specialized roles, including subnetworks specific for self-referential or social cognitive processing [Menon, 2011;Spreng et al., 2009], or differentiating between the self and others [van Veluw and Chance, 2014].”
From Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks: Mentalizing and Default-Mode Subnetworks (2015) · cites this paper as Spreng et al., 2009
The results of the meta-analysis of ToM were consistent with earlier quantitative analyses of neuroimaging studies.
“The results of the meta-analysis of ToM were consistent with earlier quantitative analyses”
From Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy (2012) · cites this paper as Spreng et al. 2009
Similar brain mechanisms in remembering past episodes and envisioning future circumstances is supported by their engagement of identical brain areas, as evidenced by a quantitative meta-analysis.
“Similar brain mechanisms in remembering past episodes and envisioning future circumstances is supported by their engagement of identical brain areas, as evidenced by a quantitative meta-analysis (Spreng et al. 2009).”
From Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy (2012) · cites this paper as Spreng et al. 2009
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“43 The DMN’s role in autobiographical memory has been well articulated in previous reviews.”
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- Authors
- Spreng, R. N., Mar, R. A., & Kim, A. S. N.
- Affiliations
- University of Toronto (CA)
- York University (CA)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2009-03-01
- Volume
- 21
- Issue
- 3
- Pages
- 489-510
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2144421443
- Semantic Scholar
- 65ab3415072bded398074af8ecc57f410ed75b07
- Cited by
- 2,143
- References
- 241
- Citations by year
- 2026: 83 · 2025: 93 · 2024: 107 · 2023: 101 · 2022: 112 · 2021: 158 · 2020: 139 · 2019: 148 · 2018: 131 · 2017: 174 · 2016: 143 · 2015: 141 · 2014: 137 · 2013: 156 · 2012: 131
- FWCI
- 31.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- eScholarship@McGill (McGill) (submittedVersion, cc-by)
- Funders
- Social Sciences and Humanities Research Council of Canada
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- autobiographical memory, prospection, navigation, theory of mind, default mode network, self-projection, scene construction, medial prefrontal cortex, medial temporal lobe, precuneus, posterior cingulate cortex, retrosplenial cortex, temporoparietal junction, activation likelihood estimation
- MeSH terms
- Autobiographies as Topic, Brain, Brain Mapping, Diagnostic Imaging, Humans, Memory, Models, Psychological, Meta-Analysis as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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