Literature DB >> 17538981

Statistical shape analysis of differences in the shape of the corpus callosum between genders.

Senem Turan Ozdemir1, Ilker Ercan, Ozdemir Sevinc, Ibrahim Guney, Gokhan Ocakoglu, Elif Aslan, Cagatay Barut.   

Abstract

Sexual dimorphic characteristics, which play an important role in human evolution studies and biological research, can be studied morphologically and metrically. Geometric morphometrics allows a better assessment of morphological characteristics. Statistical shape analysis has a long history in neuroanatomical and other research. The aim of this study was to identify shape differences of the corpus callosum between genders. Landmark coordinate data were collected from two-dimensional magnetic resonance imaging scans of 93 homogeneously aged patients, 45 men and 48 women. These data were analyzed using Euclidean distance matrix analysis and thin plate spline analysis. The general shape variability of the corpus callosum of men was greater than that of women (men, 0.134; women, 0.097). We found no significant difference between sexes in the general shape of the corpus callosum, but we did find significant differences in the distances between some landmarks. Deformation of the corpus callosum between men to women was mainly detected in the posterior of the corpus callosum. These results serve as a reference for future studies on shape alterations of the corpus callosum associated with certain conditions. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17538981     DOI: 10.1002/ar.20558

Source DB:  PubMed          Journal:  Anat Rec (Hoboken)        ISSN: 1932-8486            Impact factor:   2.064


  8 in total

1.  Gender-based differences in the shape of the human corpus callosum are associated with allometric variations.

Authors:  Emiliano Bruner; José Manuel de la Cuétara; Roberto Colom; Manuel Martin-Loeches
Journal:  J Anat       Date:  2012-02-01       Impact factor: 2.610

2.  Evaluation of corpus callosum morphometry in patients with mesial temporal lobe epilepsy with hippocampal sclerosis.

Authors:  A Firat; A B Tascioglu; M D Demiryurek; S Saygi; K Karli Oguz; F I Tezer; M Hayran
Journal:  Surg Radiol Anat       Date:  2013-06-15       Impact factor: 1.246

3.  Detecting corpus callosum abnormalities in autism based on anatomical landmarks.

Authors:  Qing He; Ye Duan; Kevin Karsch; Judith Miles
Journal:  Psychiatry Res       Date:  2010-08-30       Impact factor: 3.222

4.  Patterns of differences in brain morphology in humans as compared to extant apes.

Authors:  Kristina Aldridge
Journal:  J Hum Evol       Date:  2010-11-05       Impact factor: 3.895

5.  Biometry of the corpus callosum in children: MR imaging reference data.

Authors:  C Garel; I Cont; C Alberti; E Josserand; M L Moutard; H Ducou le Pointe
Journal:  AJNR Am J Neuroradiol       Date:  2011-07-28       Impact factor: 3.825

6.  Reduced interhemispheric connectivity in schizophrenia-tractography based segmentation of the corpus callosum.

Authors:  M Kubicki; M Styner; S Bouix; G Gerig; D Markant; K Smith; R Kikinis; R W McCarley; M E Shenton
Journal:  Schizophr Res       Date:  2008-09-30       Impact factor: 4.939

7.  Evaluation of the corpus callosum shape in patients with obstructive sleep apnea.

Authors:  Aygul Gunes; Deniz Sigirli; Ilker Ercan; Senem Turan Ozdemir; Yavuz Durmus; Tekin Yildiz
Journal:  Sleep Breath       Date:  2021-10-19       Impact factor: 2.655

8.  Planimetry investigation of the corpus callosum in temporal lobe epilepsy patients.

Authors:  Veli Caglar; Selen I Alp; Berrin T Demir; Umit Sener; Oguz A Ozen; Recep Alp
Journal:  Neurosciences (Riyadh)       Date:  2016-04       Impact factor: 0.906

  8 in total

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