ArticlePLoS computational biology2012
Discovering relations between mind, brain, and mental disorders using topic mapping.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 12 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
88 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Olympic combat sports and mental health in children and adolescents with disability: a systematic review of controlled trials.Frontiers in psychology · 2025Pooled it
- Hippocampus long-axis specialization throughout development: A meta-analysis.Human brain mapping · 2023Pooled it
- Meta-analysis of the functional neuroimaging literature with probabilistic logic programming.Scientific reports · 2022Pooled it
- Pooled it
- Functional localization and categorization of intentional decisions in humans: A meta-analysis of brain imaging studies.NeuroImage · 2021Pooled it
- The posterior crus II cerebellum is specialized for social mentalizing and emotional self-experiences: a meta-analysis.Social cognitive and affective neuroscience · 2020Pooled it
- Functional parcellation of the default mode network: a large-scale meta-analysis.Scientific reports · 2020Pooled it
- Large scale structure-function mappings of the human subcortex.Scientific reports · 2018Pooled it
- Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2018Pooled it
- Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions.Human brain mapping · 2018Pooled it
- Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Pooled it
- Co-activation based parcellation of the human frontal pole.NeuroImage · 2015Pooled it
- Effects of Escitalopram Administration on Face Processing in Intermittent Explosive Disorder: An fMRI Study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016Trial
- The topology of adolescent mental health.medRxiv : the preprint server for health sciences · 2026Article
- A neuro-synthesis of psychological constructs relevant to posttraumatic stress disorder.Scientific reports · 2026Article
- Robust but independent sex differences in human brain function, structure, and behavior.Nature communications · 2026Article
- Latent neural architecture organising shared aesthetic evaluations of visual artworks.Nature communications · 2026Article
- Brain activity explains message effectiveness: A mega-analysis of 16 neuroimaging studies.PNAS nexus · 2025Article
- Neural Mechanisms of Feedback Processing and Regulation Recalibration During Neurofeedback Training.Human brain mapping · 2025Article
- Large-scale foundation models and generative AI for BigData neuroscience.Neuroscience research · 2025Review
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions and their mapping to brain systems. This analysis confirms many current ideas regarding the neural organization of cognition, but also provides some new insights into the roles of particular brain systems in mental function. We further show that the same methods can be used to identify the relations between mental disorders. Finally, we show that these two approaches can be combined to empirically identify novel relations between mental disorders and mental functions via their common involvement of particular brain networks. This approach has the potential to discover novel endophenotypes for neuropsychiatric disorders and to better characterize the structure of these disorders and the relations between them.
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Registered trials
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.