ArticleHuman brain mapping2022
Connectivity-based parcellation of normal and anatomically distorted human cerebral cortex.
Article in Human brain mapping, 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, 53 citations in OpenAlex.
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- Transparent 3D-printed brain tumor model integrating tractography for planning minimally invasive transcortical resection of an intraventricular meningioma: A case report.Surgical neurology international · 2026Article
- Eloquent glioma resection assisted by brain connectomics: A new tool for awake neurosurgery.Surgical neurology international · 2026Article
- Novel planning pipeline utilizing the Surgical Theater system for pediatric epilepsy surgery.Epilepsia open · 2025Article
- Article
- Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.BMC neurology · 2024Review
- Discernible interindividual patterns of global efficiency decline during theoretical brain surgery.Scientific reports · 2024Article
- Application of individual brain connectome in chronic ischemia: mapping symptoms before and after reperfusion.MedComm · 2024Article
- DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.IEEE transactions on medical imaging · 2024Article
- Intrinsic and Microenvironmental Drivers of Glioblastoma Invasion.International journal of molecular sciences · 2024Review
- [Whole-brain parcellation for macaque brain magnetic resonance images based on attention mechanism and multi-modality feature fusion].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Altered morphological characteristics and structural covariance connectivity associated with verbal working memory performance in ADHD children.The British journal of radiology · 2023Article
- Functional connectivity reveals different brain networks underlying the idiopathic foreign accent syndrome.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Automatic brain structure segmentation forQuantitative imaging in medicine and surgery · 2023Article
- Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome.Chinese neurosurgical journal · 2023Article
- An agile, data-driven approach for target selection in rTMS therapy for anxiety symptoms: Proof of concept and preliminary data for two novel targets.Brain and behavior · 2023Article
- Functional connectivity of the language area in migraine: a preliminary classification model.BMC neurology · 2023Article
- Review
- Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.Frontiers in human neuroscience · 2023Review
- Connectomic insight into unique stroke patient recovery after rTMS treatment.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
For over a century, neuroscientists have been working toward parcellating the human cortex into distinct neurobiological regions. Modern technologies offer many parcellation methods for healthy cortices acquired through magnetic resonance imaging. However, these methods are suboptimal for personalized neurosurgical application given that pathology and resection distort the cerebrum. We sought to overcome this problem by developing a novel connectivity-based parcellation approach that can be applied at the single-subject level. Utilizing normative diffusion data, we first developed a machine-learning (ML) classifier to learn the typical structural connectivity patterns of healthy subjects. Specifically, the Glasser HCP atlas was utilized as a prior to calculate the streamline connectivity between each voxel and each parcel of the atlas. Using the resultant feature vector, we determined the parcel identity of each voxel in neurosurgical patients (n = 40) and thereby iteratively adjusted the prior. This approach enabled us to create patient-specific maps independent of brain shape and pathological distortion. The supervised ML classifier re-parcellated an average of 2.65% of cortical voxels across a healthy dataset (n = 178) and an average of 5.5% in neurosurgical patients. Our patient dataset consisted of subjects with supratentorial infiltrating gliomas operated on by the senior author who then assessed the validity and practical utility of the re-parcellated diffusion data. We demonstrate a rapid and effective ML parcellation approach to parcellation of the human cortex during anatomical distortion. Our approach overcomes limitations of indiscriminately applying atlas-based registration from healthy subjects by employing a voxel-wise connectivity approach based on individual data.
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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.