Literature DB >> 8891233

Regional MRI measurements of the corpus callosum: a methodological and developmental study.

J C Rajapakse1, J N Giedd, J M Rumsey, A C Vaituzis, S D Hamburger, J L Rapoport.   

Abstract

A technique for quantifying the midsagittal size and shape of the corpus callosum (CC) from magnetic resonance brain scans is presented. The technique utilizes the distances to the ventral and dorsal boundaries of small sectors of the CC from a reference point to compute the size and shape parameters of the CC and its subdivisions. Intrarater and interrater interclass correlation coefficients for the area measurements ranged from 0.88 to 0.99. Correlations between these automated measures and those obtained by pixel counting were equally high. The corpus callosa of 104 (57 male and 47 female) right-handed healthy children and adolescents, ages 4-18, were examined in relation to age and sex. Corpus callosum growth was most striking for the splenium and isthmus with some changes in the midbody regions. The area and perimeter of these regions increased, shapes became more compact, and the boundaries became more regular with age. The length and curvature at the anterior and posterior regions of the CC increased more rapidly in males than in females. These significant and consistent results indicate that the method is reliable and sensitive to developmental changes of the CC.

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Year:  1996        PMID: 8891233     DOI: 10.1016/0387-7604(96)00034-4

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  29 in total

1.  Diffusion tensor imaging metrics of the corpus callosum in relation to bimanual coordination: effect of task complexity and sensory feedback.

Authors:  Jolien Gooijers; Karen Caeyenberghs; Helene M Sisti; Monique Geurts; Marcus H Heitger; Alexander Leemans; Stephan P Swinnen
Journal:  Hum Brain Mapp       Date:  2011-10-22       Impact factor: 5.038

2.  The development of the corpus callosum in the healthy human brain.

Authors:  Eileen Luders; Paul M Thompson; Arthur W Toga
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

3.  Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography.

Authors:  Yi-Ping Chao; Kuan-Hung Cho; Chun-Hung Yeh; Kun-Hsien Chou; Jyh-Horng Chen; Ching-Po Lin
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

4.  Assessing ventricular size: is subjective evaluation accurate enough? New MRI-based normative standards for 19-year-olds.

Authors:  Stein Magnus Aukland; Morten Duus Odberg; Roxanna Gunny; W K Kling Chong; Geir Egil Eide; Karen Rosendahl
Journal:  Neuroradiology       Date:  2008-07-12       Impact factor: 2.804

5.  Localized measures of callosal atrophy are associated with late-life hypertension: AGES-Reykjavik Study.

Authors:  Peter Harris; Dan A Alcantara; Nina Amenta; Oscar L Lopez; Gudný Eiríksdóttir; Sigurdur Sigurdsson; Villmundur Gudnason; Sarah Madsen; Paul M Thompson; Lenore J Launer; Owen T Carmichael
Journal:  Neuroimage       Date:  2008-07-18       Impact factor: 6.556

Review 6.  Polymicrogyria, Large Corpus Callosum and Psychomotor Retardation in Four-Year-Old Girl: Potential Association Based on MR Findings. A Case Report and Literature Review.

Authors:  Caterina Budai; Giulia Moscato; Francesco Patruno; Marco Leonardi; Monica Maffei
Journal:  Neuroradiol J       Date:  2014-09-25

7.  Development of cortical motor circuits between childhood and adulthood: A navigated TMS-HdEEG study.

Authors:  Sara Määttä; Mervi Könönen; Elisa Kallioniemi; Timo Lakka; Niina Lintu; Virpi Lindi; Florinda Ferreri; David Ponzo; Laura Säisänen
Journal:  Hum Brain Mapp       Date:  2017-02-20       Impact factor: 5.038

8.  Human motor corpus callosum: topography, somatotopy, and link between microstructure and function.

Authors:  Mathias Wahl; Birgit Lauterbach-Soon; Elke Hattingen; Patrick Jung; Oliver Singer; Steffen Volz; Johannes C Klein; Helmuth Steinmetz; Ulf Ziemann
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

9.  Puberty in the corpus callosum.

Authors:  M C Chavarria; F J Sánchez; Y-Y Chou; P M Thompson; E Luders
Journal:  Neuroscience       Date:  2014-01-24       Impact factor: 3.590

10.  Cross-sectional analysis of the association between age and corpus callosum size in chimpanzees (Pan troglodytes).

Authors:  William D Hopkins; Kimberley A Phillips
Journal:  Dev Psychobiol       Date:  2010-03       Impact factor: 3.038

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