Understanding the minds of others: a neuroimaging meta-analysis

Molenberghs, Pascal, Johnson, Halle, Henry, Julie D. and Mattingley, Jason B. (2016) Understanding the minds of others: a neuroimaging meta-analysis. Neuroscience and Biobehavioral Reviews, 65 276-291. doi:10.1016/j.neubiorev.2016.03.020

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Author Molenberghs, Pascal
Johnson, Halle
Henry, Julie D.
Mattingley, Jason B.
Title Understanding the minds of others: a neuroimaging meta-analysis
Journal name Neuroscience and Biobehavioral Reviews   Check publisher's open access policy
ISSN 0149-7634
Publication date 2016-06-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.neubiorev.2016.03.020
Open Access Status File (Author Post-print)
Volume 65
Start page 276
End page 291
Total pages 16
Place of publication Kidlington, Oxford United Kingdom
Publisher Pergamon Press
Language eng
Subject 3206 Neuropsychology and Physiological Psychology
2805 Cognitive Neuroscience
2802 Behavioral Neuroscience
Abstract Theory of mind (ToM) is an important skill that refers broadly to the capacity to understand the mental states of others. A large number of neuroimaging studies have focused on identifying the functional brain regions involved in ToM, but many important questions remain with respect to the neural networks implicated in specific types of ToM tasks. In the present study, we conducted a series of activation likelihood estimation (ALE) meta-analyses on 144 datasets (involving 3150 participants) to address these questions. The ALE results revealed common regions shared across all ToM tasks and broader task parameters, but also some important dissociations. In terms of commonalities, consistent activation was identified in the medial prefrontal cortex and bilateral temporoparietal junction. On the other hand, ALE contrast analyses on our dataset, as well as meta-analytic connectivity modelling (MACM) analyses on the BrainMap database, indicated that different types of ToM tasks reliably elicit activity in unique brain areas. Our findings provide the most accurate picture to date of the neural networks that underpin ToM function.
Keyword Theory of mind
Activation likelihood estimation
Medial prefrontal cortex
Temporoparietal junction
Meta-analytic connectivity modelling
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
School of Psychology Publications
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Citation counts: TR Web of Science Citation Count  Cited 35 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 19 Aug 2016, 00:45:43 EST by Susan Day on behalf of Queensland Brain Institute