ArticleNeuroinformatics2012
A library of cortical morphology analysis tools to study development, aging and genetics of cerebral cortex.
Article in Neuroinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 46 citations in OpenAlex.
- Surgical outcomes for superior frontal sulcus focal cortical dysplasia-related epilepsy.Seizure · 2026Article
- Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026Article
- An MRI Study of Morphology, Asymmetry, and Sex Differences of Inferior Precentral Sulcus.Brain topography · 2024Article
- Cortical Sulcal Abnormalities Revealed by Sulcal Morphometry in Patients with Chronic and Episodic Migraine.Journal of pain research · 2024Article
- Cortical development coupling between surface area and sulcal depth on macaque brains.Brain structure & function · 2022Article
- Increased representation of the non-dominant hand in pianists demonstrated by measurement of 3D morphology of the central sulcus.Psychoradiology · 2021Article
- Association Between Socioeconomic Status and In Utero Fetal Brain Development.JAMA network open · 2021Article
- Robust estimation of sulcal morphology.Brain informatics · 2019Article
- Pregnancy and adolescence entail similar neuroanatomical adaptations: A comparative analysis of cerebral morphometric changes.Human brain mapping · 2019Article
- A controlled comparison of thickness, volume and surface areas from multiple cortical parcellation packages.BMC bioinformatics · 2019Article
- Predicting age from cortical structure across the lifespan.The European journal of neuroscience · 2018Article
- Relationship Between Sulcal Characteristics and Brain Aging.Frontiers in aging neuroscience · 2018Article
- Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.NeuroImage · 2017Article
- Mindboggling morphometry of human brains.PLoS computational biology · 2017Article
- Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers.Frontiers in aging neuroscience · 2017Article
- Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices.PloS one · 2017Article
- Cortical complexity as a measure of age-related brain atrophy.NeuroImage · 2016Article
- A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.Medical image analysis · 2015Article
- Age-related effects in the neocortical organization of chimpanzees: gray and white matter volume, cortical thickness, and gyrification.NeuroImage · 2014Article
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Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Sharing of analysis techniques and tools is among the main driving forces of modern neuroscience. We describe a library of tools developed to quantify global and regional differences in cortical anatomy in high resolution structural MR images. This library is distributed as a plug-in application for popular structural analysis software, BrainVisa (BV). It contains tools to measure global and regional gyrification, gray matter thickness and sulcal and gyral white matter spans. We provide a description of each tool and examples for several case studies to demonstrate their use. These examples show how the BV library was used to study cortical folding process during antenatal development and recapitulation of this process during cerebral aging. Further, the BV library was used to perform translation research in humans and non-human primates on the genetics of cerebral gyrification. This library, including source code and self-contained binaries for popular computer platforms, is available from the NIH-Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) resource ( http://www.nitrc.org/projects/brainvisa_ext ).
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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.