The rapid growth of the literature on neuroimaging in humans has led to major advances in our understanding of human brain function but has also made it increasingly difficult to aggregate and synthesize neuroimaging findings. Here we describe and validate an automated brain-mapping framework that uses text-mining, meta-analysis and machine-learning techniques to generate a large database of mappings between neural and cognitive states. We show that our approach can be used to automatically conduct large-scale, high-quality neuroimaging meta-analyses, address long-standing inferential problems in the neuroimaging literature and support accurate 'decoding' of broad cognitive states from brain activity in both entire studies and individual human subjects. Collectively, our results have validated a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale.
'The surface management system' (SuMS) database: a surface-based database to aid cortical surface reconstruction, visualization and analysis
Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex
For better or for worse: neural systems supporting the cognitive down- and up-regulation of negative emotion
Functional grouping and cortical-subcortical interactions in emotion: a meta-analysis of neuroimaging studies.
Individual differences in delay discounting: relation to intelligence, working memory, and anterior prefrontal cortex
BOLD correlates of trial-by-trial reaction time variability in gray and white matter: a multi-study fMRI analysis.
ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.
Decoding the large-scale structure of brain function by classifying mental States across individuals.
Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: validation of the Lancaster transform.
Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009)
Neural and behavioral responses during self-evaluative processes differ in youth with and without autism.
Penalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotyping
Neural processing correlates of assaultive violence exposure and PTSD symptoms during implicit threat processing: a network-level analysis among adolescent girls
Who's Missing the Point? A Commentary on Claims that Autistic Persons Have a Specific Deficit in Figurative Language Comprehension
Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits
Decoding the role of the insula in human cognition: functional parcellation and large-scale reverse inference.
Is there "one" DLPFC in cognitive action control? Evidence for heterogeneity from co-activation-based parcellation.
The phenomenology of error processing: the dorsal ACC response to stop-signal errors tracks reports of negative affect
Functional connectivity profile of the human inferior frontal junction: involvement in a cognitive control network.
Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): how to assign scans to categories without using spatial normalization.
An informatics approach to integrating genetic and neurological data in speech and language neuroscience
Value-based modulation of memory encoding involves strategic engagement of fronto-temporal semantic processing regions
Irrational exuberance and neural crash warning signals during endogenous experimental market bubbles
Bioinformatics in Biomedicine
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