Literature DB >> 16920366

Human cerebral cortex: a system for the integration of volume- and surface-based representations.

Nikos Makris1, Jonathan Kaiser, Christian Haselgrove, Larry J Seidman, Joseph Biederman, Denise Boriel, Eve M Valera, George M Papadimitriou, Bruce Fischl, Verne S Caviness, David N Kennedy.   

Abstract

We describe an MRI-based system for topological analysis followed by measurements of topographic features for the human cerebral cortex that takes as its starting point volumetric segmentation data. This permits interoperation between volume-based and surface-based topographic analysis and extends the functionality of many existing segmentation schemes. We demonstrate the utility of these operations in individual as well as to group analysis. The methodology integrates analyses of cortical segmentation data generated by manual and semi-automated volumetric morphometry routines (such as the program cardviews) with the procedures of the FreeSurfer program to generate a cortical ribbon of the cerebrum and perform cortical topographic measurements (including thickness, surface area and curvature) in individual subjects as well as in subject populations. This system allows the computation of topographical cortical measurements for segmentation data generated from manual and semi-automated volumetric sources other than FreeSurfer. These measurements can be regionally specific and integrated with systems of cortical parcellation that subdivides the neocortex into gyral-based parcellation units (PUs). This system of topographical analysis of the cerebral cortex is consistent with current views of cortical development and neural systems organization of the human and non-human primate brain.

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Year:  2006        PMID: 16920366     DOI: 10.1016/j.neuroimage.2006.04.220

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Further understanding of the comorbidity between Attention-Deficit/Hyperactivity Disorder and bipolar disorder in adults: an MRI study of cortical thickness.

Authors:  Nikos Makris; Larry J Seidman; Ariel Brown; Eve M Valera; Jonathan R Kaiser; Carter R Petty; Lichen Liang; Megan Aleardi; Denise Boriel; Carly S Henderson; Michelle Giddens; Stephen V Faraone; Thomas J Spencer; Joseph Biederman
Journal:  Psychiatry Res       Date:  2012-05-27       Impact factor: 3.222

Review 2.  Structural Image Analysis of the Brain in Neuropsychology Using Magnetic Resonance Imaging (MRI) Techniques.

Authors:  Erin D Bigler
Journal:  Neuropsychol Rev       Date:  2015-08-18       Impact factor: 7.444

3.  Evaluation of automated brain MR image segmentation and volumetry methods.

Authors:  Frederick Klauschen; Aaron Goldman; Vincent Barra; Andreas Meyer-Lindenberg; Arvid Lundervold
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

4.  Profiles of precentral and postcentral cortical mean thicknesses in individual subjects over acute and subacute time-scales.

Authors:  Xin Wang; Mischka Gerken; Michael Dennis; Richard Mooney; John Kane; Sadik Khuder; Hong Xie; William Bauer; A Vania Apkarian; John Wall
Journal:  Cereb Cortex       Date:  2009-10-13       Impact factor: 5.357

5.  Surface area accounts for the relation of gray matter volume to reading-related skills and history of dyslexia.

Authors:  Richard E Frye; Jacqueline Liederman; Benjamin Malmberg; John McLean; David Strickland; Michael S Beauchamp
Journal:  Cereb Cortex       Date:  2010-02-12       Impact factor: 5.357

Review 6.  Structural imaging in early pre-states of dementia.

Authors:  Charles D Smith
Journal:  Biochim Biophys Acta       Date:  2011-07-14

7.  Predictive models of autism spectrum disorder based on brain regional cortical thickness.

Authors:  Yun Jiao; Rong Chen; Xiaoyan Ke; Kangkang Chu; Zuhong Lu; Edward H Herskovits
Journal:  Neuroimage       Date:  2009-12-21       Impact factor: 6.556

8.  Volumetric parcellation methodology of the human hypothalamus in neuroimaging: normative data and sex differences.

Authors:  Nikos Makris; Dick F Swaab; Andre van der Kouwe; Brandon Abbs; Denise Boriel; Robert J Handa; Stuart Tobet; Jill M Goldstein
Journal:  Neuroimage       Date:  2012-12-14       Impact factor: 6.556

9.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

10.  A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging.

Authors:  Chloe Hutton; Bogdan Draganski; John Ashburner; Nikolaus Weiskopf
Journal:  Neuroimage       Date:  2009-06-25       Impact factor: 6.556

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