Literature DB >> 21698393

A library of cortical morphology analysis tools to study development, aging and genetics of cerebral cortex.

Peter Kochunov1, William Rogers, Jean-Francois Mangin, Jack Lancaster.   

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 ).

Entities:  

Mesh:

Year:  2012        PMID: 21698393      PMCID: PMC3471145          DOI: 10.1007/s12021-011-9127-9

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  84 in total

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2.  Whole brain and regional hyperintense white matter volume and blood pressure: overlap of genetic loci produced by bivariate, whole-genome linkage analyses.

Authors:  Peter Kochunov; David Glahn; Jack Lancaster; Anderson Winkler; Jack W Kent; Rene L Olvera; Shelley A Cole; Thomas D Dyer; Laura Almasy; Ravi Duggirala; Peter T Fox; John Blangero
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3.  Sulcal variability of twins.

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4.  Comparative analysis of cortical layering and supragranular layer enlargement in rodent carnivore and primate species.

Authors:  Jeffrey J Hutsler; Dong-Geun Lee; Kristin K Porter
Journal:  Brain Res       Date:  2005-08-02       Impact factor: 3.252

Review 5.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

6.  Morphological regionalization using fetal magnetic resonance images of normal developing brains.

Authors:  Hui-Hsin Hu; Wan-Yuo Guo; Hui-Yun Chen; Po-Shan Wang; Chih-I Hung; Jen-Chuen Hsieh; Yu-Te Wu
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7.  Blood pressure and cerebral white matter share common genetic factors in Mexican Americans.

Authors:  Peter Kochunov; David C Glahn; Jack Lancaster; Anderson Winkler; Kathrin Karlsgodt; Rene L Olvera; Joanna E Curran; Melanie A Carless; Thomas D Dyer; Laura Almasy; Ravi Duggirala; Peter T Fox; John Blangero
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8.  Gender effects on cortical thickness and the influence of scaling.

Authors:  E Luders; K L Narr; P M Thompson; D E Rex; R P Woods; H Deluca; L Jancke; A W Toga
Journal:  Hum Brain Mapp       Date:  2006-04       Impact factor: 5.038

9.  Processing speed is correlated with cerebral health markers in the frontal lobes as quantified by neuroimaging.

Authors:  P Kochunov; T Coyle; J Lancaster; D A Robin; J Hardies; V Kochunov; G Bartzokis; J Stanley; D Royall; A E Schlosser; M Null; P T Fox
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10.  Brain size and folding of the human cerebral cortex.

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  22 in total

1.  The human cerebral cortex flattens during adolescence.

Authors:  Yasser Alemán-Gómez; Joost Janssen; Hugo Schnack; Evan Balaban; Laura Pina-Camacho; Fidel Alfaro-Almagro; Josefina Castro-Fornieles; Soraya Otero; Immaculada Baeza; Dolores Moreno; Nuria Bargalló; Mara Parellada; Celso Arango; Manuel Desco
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

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3.  Age-related effects in the neocortical organization of chimpanzees: gray and white matter volume, cortical thickness, and gyrification.

Authors:  Michelle M Autrey; Lisa A Reamer; Mary Catherine Mareno; Chet C Sherwood; James G Herndon; Todd Preuss; Steve J Schapiro; William D Hopkins
Journal:  Neuroimage       Date:  2014-06-29       Impact factor: 6.556

4.  Globally optimal cortical surface matching with exact landmark correspondence.

Authors:  Alex Tsui; Devin Fenton; Phong Vuong; Joel Hass; Patrice Koehl; Nina Amenta; David Coeurjolly; Charles DeCarli; Owen Carmichael
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5.  Cortical complexity as a measure of age-related brain atrophy.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neuroimage       Date:  2016-04-19       Impact factor: 6.556

6.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

7.  A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.

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Journal:  Med Image Anal       Date:  2015-02-03       Impact factor: 8.545

8.  Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.

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Journal:  Neuroimage       Date:  2016-12-26       Impact factor: 6.556

9.  Transcriptomics of cortical gray matter thickness decline during normal aging.

Authors:  P Kochunov; J Charlesworth; A Winkler; L E Hong; T E Nichols; J E Curran; E Sprooten; N Jahanshad; P M Thompson; M P Johnson; J W Kent; B A Landman; B Mitchell; S A Cole; T D Dyer; E K Moses; H H H Goring; L Almasy; R Duggirala; R L Olvera; D C Glahn; J Blangero
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

10.  Sulcal depth-position profile is a genetically mediated neuroscientific trait: description and characterization in the central sulcus.

Authors:  D Reese McKay; Peter Kochunov; Matthew D Cykowski; Jack W Kent; Angela R Laird; Jack L Lancaster; John Blangero; David C Glahn; Peter T Fox
Journal:  J Neurosci       Date:  2013-09-25       Impact factor: 6.167

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