ArticleJournal of neuroscience methods2022
A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI.
Article in Journal of neuroscience methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
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- An evaluation of brain volume and cortical thickness measurement at 0.55 T.Magma (New York, N.Y.) · 2026Article
- Divergent scalp-to-region distance alteration patterns in autism spectrum disorders, Parkinson's disease and Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival.Annals of clinical and translational neurology · 2026Article
- Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation.Human brain mapping · 2026Article
- A non-local diffusion magnetic resonance imaging tract density biomarker to stratify, predict, and interpret survival rates in human glioblastoma.Neuro-oncology · 2026Article
- Robust cortical thickness estimation in the presence of partial volumes using adaptive diffusion equation.Journal of neuroscience methods · 2025Article
- Comparison of surgical approaches to the hippocampal formation with artificial intelligence.Neurosurgical review · 2025Article
- Frontotemporal dementia characterization using neurite orientation dispersion and density imaging.Brain communications · 2025Article
- JOSA: Joint surface-based registration and atlas construction of brain geometry and function.Medical image analysis · 2024Article
- Prediction of Post Traumatic Epilepsy Using MR-Based Imaging Markers.Human brain mapping · 2024Article
- Feedback matters: EEG correlates of empathy involved in the naturalistic communication of emotions.Heliyon · 2024Article
- BrainSuite BIDS App: Containerized Workflows for MRI Analysis.bioRxiv : the preprint server for biology · 2024Article
- Decoding MRI-informed brain age using mutual information.Insights into imaging · 2024Article
- Contrast-free dynamic susceptibility contrast using sinusoidal and bolus oxygenation challenges.NMR in biomedicine · 2024Article
- Neurogenetics of Brain Connectivity: Current Approaches to the Study (Review).Sovremennye tekhnologii v meditsine · 2024Review
- Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation.Brain communications · 2024Article
- Functional and structural connectivity success predictors of real-time fMRI neurofeedback targeting DLPFC: Contributions from central executive, salience, and default mode networks.Network neuroscience (Cambridge, Mass.) · 2024Article
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12 authors.
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Abstract
We present a new high-quality, single-subject atlas with sub-millimeter voxel resolution, high SNR, and excellent gray-white tissue contrast to resolve fine anatomical details. The atlas is labeled into two parcellation schemes: 1) the anatomical BCI-DNI atlas, which is manually labeled based on known morphological and anatomical features, and 2) the hybrid USCBrain atlas, which incorporates functional information to guide the sub-parcellation of cerebral cortex. In both cases, we provide consistent volumetric and cortical surface-based parcellation and labeling. The intended use of the atlas is as a reference template for structural coregistration and labeling of individual brains. A single-subject T1-weighted image was acquired five times at a resolution of 0.547 mm × 0.547 mm × 0.800 mm and averaged. Images were processed by an expert neuroanatomist using semi-automated methods in BrainSuite to extract the brain, classify tissue-types, and render anatomical surfaces. Sixty-six cortical and 29 noncortical regions were manually labeled to generate the BCI-DNI atlas. The cortical regions were further sub-parcellated into 130 cortical regions based on multi-subject connectivity analysis using resting fMRI (rfMRI) data from the Human Connectome Project (HCP) database to produce the USCBrain atlas. In addition, we provide a delineation between sulcal valleys and gyral crowns, which offer an additional set of 26 sulcal subregions per hemisphere. Lastly, a probabilistic map is provided to give users a quantitative measure of reliability for each gyral subdivision. Utility of the atlas was assessed by computing Adjusted Rand Indices (ARIs) between individual sub-parcellations obtained through structural-only coregistration to the USCBrain atlas and sub-parcellations obtained directly from each subject's resting fMRI data. Both atlas parcellations can be used with the BrainSuite, FreeSurfer, and FSL software packages.
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