SynthesisCerebral cortex (New York, N.Y. : 1991)2018
Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex.
Synthesis in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 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.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Common neural dysfunction in psychiatric disorders: Insights from a meta-analysis of resting-state fMRI studies.Translational psychiatry · 2025Pooled it
- Pooled it
- Separate neural networks of implicit emotional processing between pictures and words: A coordinate-based meta-analysis of brain imaging studies.Neuroscience and biobehavioral reviews · 2021Pooled it
- Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD.NeuroImage · 2019Trial
- Refining RDoC Using Individual-Level Task fMRI Factor Models Reveals Reproducible and Clinically Relevant Brain-Wide Motifs.bioRxiv : the preprint server for biology · 2026Article
- Altered functional connectivity of the hippocampus in cortico-subcortical networks in early-stage and emerging psychosis.European archives of psychiatry and clinical neuroscience · 2026Article
- Frontal-limbic mediated implicit cognitive control of emotion in the transition to adolescence.Cognitive, affective & behavioral neuroscience · 2026Article
- Resting-state effective connectivity is systematically linked to reappraisal success of high- and low-intensity negative emotions.Human brain mapping · 2024Article
- Neural Mechanisms of Neuro-Rehabilitation Using Transcranial Direct Current Stimulation (tDCS) over the Front-Polar Area.Brain sciences · 2023Review
- Characterizing functional modules in the human thalamus: coactivation-based parcellation and systems-level functional decoding.Brain structure & function · 2023Review
- Intrinsic brain activity patterns across large-scale networks predict reciprocity propensity.Human brain mapping · 2022Article
- Multivariate morphological brain signatures enable individualized prediction of dispositional need for closure.Brain imaging and behavior · 2022Article
- Prediction of trust propensity from intrinsic brain morphology and functional connectome.Human brain mapping · 2021Article
- Article
- Left dorsolateral prefrontal cortex supports context-dependent prioritisation of off-task thought.Nature communications · 2019Article
- Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Extensive fMRI study of human lateral frontal cortex (LFC) has yet to yield a consensus mapping between discrete anatomy and psychological states, partly due to the difficulty of inferring mental states from brain activity. Despite this, there have been few large-scale efforts to map the full range of psychological states across the entirety of LFC. Here, we used a data-driven approach to generate a comprehensive functional-anatomical mapping of LFC from 11 406 neuroimaging studies. We identified putatively separable LFC regions on the basis of whole-brain co-activation, revealing 14 clusters organized into 3 whole-brain networks. Next, we generated functional preference profiles by using multivariate classification to identify the psychological states that best predicted activity within each cluster. We observed large functional differences between networks, suggesting brain networks support distinct modes of processing. Within each network, however, we observed relatively low functional specificity, suggesting discrete psychological states are not strongly localized to individual regions; instead, our results are consistent with the view that individual LFC regions work as part of distributed networks to give rise to flexible behavior. Collectively, our results provide a comprehensive synthesis of a diverse neuroimaging literature using relatively unbiased data-driven methods.
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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.