Literature DB >> 20620032

Detecting corpus callosum abnormalities in autism based on anatomical landmarks.

Qing He1, Ye Duan, Kevin Karsch, Judith Miles.   

Abstract

Autism is a severe developmental disorder whose neurological basis is largely unknown. The aim of this study was to identify the shape differences of the corpus callosum between patients with autism and control subjects. Anatomical landmarks were collected from midsagittal magnetic resonance images of 25 patients and 18 controls. Euclidean distance matrix analysis and thin-plate spline analyses were used to examine the landmark forms. Point-by-point shape comparison was performed both globally and locally. A new local shape comparison scheme was proposed which compared each part of the shape in its local coordinate system. Point correspondence was established among individual shapes based on the inherent landmark correspondence. No significant difference was found in the landmark form between patients and controls, but the distance between the interior genu and the posterior-most section was found to be significantly shorter in patients. Thin-plate spline analysis showed significant group differences between the landmark configurations in terms of the deformation from the overall mean configuration. Significant global shape differences were found in the anterior lower body and posterior bottom, and there was a local shape difference in the anterior bottom. This study can serve as both a clinical reference and a detailed procedural guideline for similar studies in the future. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20620032      PMCID: PMC2910223          DOI: 10.1016/j.pscychresns.2010.05.006

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  24 in total

1.  3D shape recovery of a newborn skull using thin-plate splines.

Authors:  R J Lapeer; R W Prager
Journal:  Comput Med Imaging Graph       Date:  2000 May-Jun       Impact factor: 4.790

2.  Fiber composition of the human corpus callosum.

Authors:  F Aboitiz; A B Scheibel; R S Fisher; E Zaidel
Journal:  Brain Res       Date:  1992-12-11       Impact factor: 3.252

Review 3.  A simple method for visualization of influential landmarks when using euclidean distance matrix analysis.

Authors:  T M Cole; J T Richtsmeier
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4.  Biometrics, biomathematics and the morphometric synthesis.

Authors:  F L Bookstein
Journal:  Bull Math Biol       Date:  1996-03       Impact factor: 1.758

5.  Essential versus complex autism: definition of fundamental prognostic subtypes.

Authors:  J H Miles; T N Takahashi; S Bagby; P K Sahota; D F Vaslow; C H Wang; R E Hillman; J E Farmer
Journal:  Am J Med Genet A       Date:  2005-06-01       Impact factor: 2.802

6.  An MRI study of the corpus callosum in autism.

Authors:  J Piven; J Bailey; B J Ranson; S Arndt
Journal:  Am J Psychiatry       Date:  1997-08       Impact factor: 18.112

7.  Corpus callosum size in autism.

Authors:  A Y Hardan; N J Minshew; M S Keshavan
Journal:  Neurology       Date:  2000-10-10       Impact factor: 9.910

8.  Midline corpus callosum is a neuroanatomical focus of fetal alcohol damage.

Authors:  Fred L Bookstein; Paul D Sampson; Paul D Connor; Ann P Streissguth
Journal:  Anat Rec       Date:  2002-06-15

9.  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

10.  Mapping corpus callosum deficits in autism: an index of aberrant cortical connectivity.

Authors:  Christine N Vidal; Rob Nicolson; Timothy J DeVito; Kiralee M Hayashi; Jennifer A Geaga; Dick J Drost; Peter C Williamson; Nagalingam Rajakumar; Yihong Sui; Rebecca A Dutton; Arthur W Toga; Paul M Thompson
Journal:  Biol Psychiatry       Date:  2006-02-07       Impact factor: 13.382

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  7 in total

1.  Sex estimation in the cranium and mandible: a multislice computed tomography (MSCT) study using anthropometric and geometric morphometry methods.

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2.  Concordance of white matter and gray matter abnormalities in autism spectrum disorders: a voxel-based meta-analysis study.

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Journal:  Hum Brain Mapp       Date:  2013-07-26       Impact factor: 5.038

Review 3.  Are Essential Trace Elements Effective in Modulation of Mental Disorders? Update and Perspectives.

Authors:  Mehran Shayganfard
Journal:  Biol Trace Elem Res       Date:  2021-04-27       Impact factor: 3.738

4.  Diffusional kurtosis imaging of the corpus callosum in autism.

Authors:  Yu Veronica Sui; Jeffrey Donaldson; Laura Miles; James S Babb; Francisco Xavier Castellanos; Mariana Lazar
Journal:  Mol Autism       Date:  2018-12-13       Impact factor: 7.509

5.  Sexual dimorphism of the mandibular conformational changes in aging human adults: A multislice computed tomographic study by geometric morphometrics.

Authors:  Leonor Costa Mendes; Julien Delrieu; Claudia Gillet; Norbert Telmon; Delphine Maret; Frédéric Savall
Journal:  PLoS One       Date:  2021-06-22       Impact factor: 3.240

6.  Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis.

Authors:  Mayssa Soussia; Islem Rekik
Journal:  Front Neuroinform       Date:  2018-10-26       Impact factor: 4.081

7.  Characteristics of 43 multiple auricular deformity case families and auricle morphology in 463 microtia patients in South China.

Authors:  Hua-Song Zhang; Sui-Jun Chen; Hai-Cang Zeng; Hao Xiong; Jun-Feng Lin; Yao-Dong Xu; Hui-Ying Zhao; Yi-Qing Zheng
Journal:  Ann Transl Med       Date:  2020-04
  7 in total

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