Literature DB >> 21896334

Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses.

Sara Calderoni1, Alessandra Retico, Laura Biagi, Raffaella Tancredi, Filippo Muratori, Michela Tosetti.   

Abstract

Several studies on structural MRI in children with autism spectrum disorders (ASD) have mainly focused on samples prevailingly consisting of males. Sex differences in brain structure are observable since infancy and therefore caution is required in transferring to females the results obtained for males. The neuroanatomical phenotype of female children with ASD (ASDf) represents indeed a neglected area of research. In this study, we investigated for the first time the anatomic brain structures of a sample entirely composed of ASDf (n=38; 2-7 years of age; mean=53 months; SD=18) with respect to 38 female age and non verbal IQ matched controls, using both mass-univariate and pattern classification approaches. The whole brain volumes of each group were compared using voxel-based morphometry (VBM) with diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) procedure, allowing us to build a study-specific template. Significantly more gray matter (GM) was found in the left superior frontal gyrus (SFG) in ASDf subjects compared to controls. The GM segments obtained in the VBM-DARTEL preprocessing are also classified with a support vector machine (SVM), using the leave-pair-out cross-validation protocol. Then, the recursive feature elimination (SVM-RFE) approach allows for the identification of the most discriminating voxels in the GM segments and these prove extremely consistent with the SFG region identified by the VBM analysis. Furthermore, the SVM-RFE map obtained with the most discriminating set of voxels corresponding to the maximum Area Under the Receiver Operating Characteristic Curve (AUC(max)=0.80) highlighted a more complex circuitry of increased cortical volume in ASDf, involving bilaterally the SFG and the right temporo-parietal junction (TPJ). The SFG and TPJ abnormalities may be relevant to the pathophysiology of ASDf, since these structures participate in some core atypical features of autism.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21896334     DOI: 10.1016/j.neuroimage.2011.08.070

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


  45 in total

Review 1.  Developmental neurogenetics and multimodal neuroimaging of sex differences in autism.

Authors:  Christina Chen; John Darrell Van Horn
Journal:  Brain Imaging Behav       Date:  2017-02       Impact factor: 3.978

Review 2.  A review of feature reduction techniques in neuroimaging.

Authors:  Benson Mwangi; Tian Siva Tian; Jair C Soares
Journal:  Neuroinformatics       Date:  2014-04

3.  Neuropsychological profile in high functioning autism spectrum disorders.

Authors:  Antonio Narzisi; Filippo Muratori; Sara Calderoni; Franco Fabbro; Cosimo Urgesi
Journal:  J Autism Dev Disord       Date:  2013-08

Review 4.  Diagnosing autism in neurobiological research studies.

Authors:  Rebecca M Jones; Catherine Lord
Journal:  Behav Brain Res       Date:  2012-11-12       Impact factor: 3.332

Review 5.  Neuroimaging-based methods for autism identification: a possible translational application?

Authors:  Alessandra Retico; Michela Tosetti; Filippo Muratori; Sara Calderoni
Journal:  Funct Neurol       Date:  2014 Oct-Dec

6.  SCoRS--A Method Based on Stability for Feature Selection and Mapping inNeuroimaging [corrected].

Authors:  Jane M Rondina; Tim Hahn; Leticia de Oliveira; Andre F Marquand; Thomas Dresler; Thomas Leitner; Andreas J Fallgatter; John Shawe-Taylor; Janaina Mourao-Miranda
Journal:  IEEE Trans Med Imaging       Date:  2013-09-11       Impact factor: 10.048

7.  Diagnosis of autism spectrum disorders using regional and interregional morphological features.

Authors:  Chong-Yaw Wee; Li Wang; Feng Shi; Pew-Thian Yap; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2013-11-06       Impact factor: 5.038

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

Authors:  Franco Cauda; Tommaso Costa; Sara Palermo; Federico D'Agata; Matteo Diano; Francesca Bianco; Sergio Duca; Roberto Keller
Journal:  Hum Brain Mapp       Date:  2013-07-26       Impact factor: 5.038

9.  Early generalized overgrowth in autism spectrum disorder: prevalence rates, gender effects, and clinical outcomes.

Authors:  Daniel J Campbell; Joseph Chang; Katarzyna Chawarska
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2014-08-13       Impact factor: 8.829

10.  Brainstem enlargement in preschool children with autism: Results from an intermethod agreement study of segmentation algorithms.

Authors:  Paolo Bosco; Alessia Giuliano; Jonathan Delafield-Butt; Filippo Muratori; Sara Calderoni; Alessandra Retico
Journal:  Hum Brain Mapp       Date:  2018-09-05       Impact factor: 5.038

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