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A Library of Cortical Morphology Analysis Tools to Study Development, Aging and Genetics of Cerebral Cortex

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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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Acknowledgment

This research was supported by the National Institute of Biomedical Imaging and Bioengineering (K01 EB006395) grant to P.K.

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Authors and Affiliations

  1. Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA

    Peter Kochunov, William Rogers & Jack Lancaster

  2. Southwest Foundation for Biomedical Research, San Antonio, TX, USA

    Peter Kochunov

  3. Neurospin, I2BM, CEA, 91190, Gif sur Yvette, France

    Jean-Francois Mangin

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  1. Peter Kochunov
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  2. William Rogers
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  3. Jean-Francois Mangin
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Correspondence to Peter Kochunov.

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Kochunov, P., Rogers, W., Mangin, JF. et al. A Library of Cortical Morphology Analysis Tools to Study Development, Aging and Genetics of Cerebral Cortex. Neuroinform 10, 81–96 (2012). https://doi.org/10.1007/s12021-011-9127-9

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