ArticleScientific reports2022
High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
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- Language mapped to a high-resolution brain atlas for surgical evaluation of epilepsy patients.Epilepsia · 2026Article
- ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.Medical image analysis · 2026Article
- Classification of neurocognitive impairment in pediatric drug-resistant focal epilepsy by quantifying seizure-affected brain network abnormalities in clinical diffusion-weighted imaging connectome.Clinical and experimental pediatrics · 2026Article
- Brain function in language and associated networks in non- or minimally verbal children.Brain communications · 2026Article
- Stable individualized brain computing model informed by spatiotemporal co-activity patterns.PLoS computational biology · 2025Article
- Identifying the epileptic network by linking interictal functional and structural connectivity.Scientific reports · 2025Article
- Intracranial substrates of meditation-induced neuromodulation in the amygdala and hippocampus.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data.Frontiers in network physiology · 2025Article
- Influence of mindfulness meditation on intracranial EEG parameters in epileptic and non-epileptic brain areas.Epilepsy & behavior : E&B · 2024Article
- The human claustrum tracks slow waves during sleep.Nature communications · 2024Article
- Ipsilateral stimulation shows somatotopy of thumb and shoulder auricular points on the left primary somatosensory cortex using high-density fNIRS.bioRxiv : the preprint server for biology · 2024Article
- Mapping the structure-function relationship along macroscale gradients in the human brain.Nature communications · 2024Article
- Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net.Frontiers in neuroscience · 2024Article
- Leptomeningeal enhancement in multiple sclerosis demonstrates posterior predilection and TMultiple sclerosis journal - experimental, translational and clinicalArticle
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Precise cortical brain localization presents an important challenge in the literature. Brain atlases provide data-guided parcellation based on functional and structural brain metrics, and each atlas has its own unique benefits for localization. We offer a parcellation guided by intracranial electroencephalography, a technique which has historically provided pioneering advances in our understanding of brain structure-function relationships. We used a consensus boundary mapping approach combining anatomical designations in Duvernoy's Atlas of the Human Brain, a widely recognized textbook of human brain anatomy, with the anatomy of the MNI152 template and the magnetic resonance imaging scans of an epilepsy surgery cohort. The Yale Brain Atlas consists of 690 one-square centimeter parcels based around conserved anatomical features and each with a unique identifier to communicate anatomically unambiguous localization. We report on the methodology we used to create the Atlas along with the findings of a neuroimaging study assessing the accuracy and clinical usefulness of cortical localization using the Atlas. We also share our vision for the Atlas as a tool in the clinical and research neurosciences, where it may facilitate precise localization of data on the cortex, accurate description of anatomical locations, and modern data science approaches using standardized brain regions.
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