Literature DB >> 12953294

MRI-based morphometric of typical and atypical brain development.

David N Kennedy1, Christian Haselgrove, Sean McInerney.   

Abstract

The neuroinformatics landscape in which human brain morphometry occurs has advanced dramatically over the past few years. Rapid advancement in image acquisition methods, image analysis tools and interpretation of morphometric results make the study of in vivo anatomic analysis both challenging and rewarding. This has revolutionized our expectations for current and future diagnostic and investigative work with the developing brain. This paper will briefly cover the methods of morphometric analysis available for neuroanatomic analysis, and tour some sample results from a prototype retrospective database of neuroanatomic volumetric information. From these observations, issues regarding the anatomic variability of developmental maturation of neuroanatomic structures in both typically and atypically developing populations can be discussed. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12953294     DOI: 10.1002/mrdd.10075

Source DB:  PubMed          Journal:  Ment Retard Dev Disabil Res Rev        ISSN: 1080-4013


  7 in total

1.  A general XML schema and SPM toolbox for storage of neuro-imaging results and anatomical labels.

Authors:  David Bryant Keator; Syam Gadde; Jeffrey S Grethe; Derek V Taylor; Steven G Potkin
Journal:  Neuroinformatics       Date:  2006

2.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

3.  Visualizing data mining results with the brede tools.

Authors:  Finn Arup Nielsen
Journal:  Front Neuroinform       Date:  2009-07-28       Impact factor: 4.081

4.  Adolescent development of the reward system.

Authors:  Adriana Galvan
Journal:  Front Hum Neurosci       Date:  2010-02-12       Impact factor: 3.169

5.  Synergy of image analysis for animal and human neuroimaging supports translational research on drug abuse.

Authors:  Guido Gerig; Ipek Oguz; Sylvain Gouttard; Joohwi Lee; Hongyu An; Weili Lin; Matthew McMurray; Karen Grewen; Josephine Johns; Martin Andreas Styner
Journal:  Front Psychiatry       Date:  2011-10-03       Impact factor: 4.157

6.  Frontal lobe morphometry with MRI in a normal age group of 6-17 year-olds.

Authors:  M Ilkay Koşar; Ilhan Otağ; Vedat Sabancıoğulları; Mehmet Atalar; Hasan Tetiker; Aynur Otağ; Mehmet Cimen
Journal:  Iran J Radiol       Date:  2012-12-27       Impact factor: 0.212

7.  Structure-centered portal for child psychiatry research.

Authors:  Pallavi Rane; Christian Haselgrove; Steven M Hodge; Jean A Frazier; David N Kennedy
Journal:  Front Neuroinform       Date:  2014-04-30       Impact factor: 4.081

  7 in total

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