Literature DB >> 30113100

Brain morphometry of preschool age children affected by autism spectrum disorder: Correlation with clinical findings.

S Lucibello1, T Verdolotti2, F M Giordano2, L Lapenta1, A Infante2, F Piludu2, T Tartaglione2,3, D Chieffo1, C Colosimo2,3, E Mercuri1,3, R Battini1,4.   

Abstract

The aim of our study was to use a combined imaging and clinical approach to identify possible patterns of clinical and imaging findings in a cohort of preschool age autism spectrum disorder (ASD) patients. In order to identify imaging patterns that could be related to specific clinical features, a selected group of ASD patients (age range 3-6 years) without dysmorphic features, epilepsy or other major neurological signs, malformations or other lesions at MRI was subjected to brain volumetric analysis using semiautomatic brain segmentation. An age-matched group of typically developing children was subjected to the same analysis. Our results were consistent with previous literature: Total gray matter volume, total cortical gray matter volume and amygdalar volumes were significantly greater in the ASD group than the control group. When we divided the study group into subgroups on the basis of clinical findings such as high- or low-functioning, or verbal and nonverbal, the only significant difference between verbal and nonverbal subjects was in cerebellar hemispheric size. In conclusions, our results confirm that newer brain MRI techniques using semiautomatic brain segmentation can provide information useful for defining the differences between ASD patients and controls, particularly if they form part of an integrated approach between MRI and cognitive-behavioral and genetic data. Clin. Anat. 32:143-150, 2019.
© 2018 Wiley Periodicals, Inc. HIGHLIGHTS: Combined imaging and clinical approach in autism spectrum disorders Semiautomatic brain segmentation in a selected preschool age ASD group Reduced total cerebellar white matter volume in non-verbal ASD patients. © 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  MRI; autism spectrum disorder; brain volumetric analysis; cerebellum; language; neuropsycological data

Mesh:

Year:  2019        PMID: 30113100     DOI: 10.1002/ca.23252

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  4 in total

1.  A 16-year study of longitudinal volumetric brain development in males with autism.

Authors:  Molly B D Prigge; Nicholas Lange; Erin D Bigler; Jace B King; Douglas C Dean; Nagesh Adluru; Andrew L Alexander; Janet E Lainhart; Brandon A Zielinski
Journal:  Neuroimage       Date:  2021-04-18       Impact factor: 6.556

Review 2.  The Reeler Mouse: A Translational Model of Human Neurological Conditions, or Simply a Good Tool for Better Understanding Neurodevelopment?

Authors:  Laura Lossi; Claudia Castagna; Alberto Granato; Adalberto Merighi
Journal:  J Clin Med       Date:  2019-12-01       Impact factor: 4.241

3.  Cortical Thickness and Clinical Findings in Prescholar Children With Autism Spectrum Disorder.

Authors:  Simona Lucibello; Giovanna Bertè; Tommaso Verdolotti; Martina Lucignani; Antonio Napolitano; Rosa D'Abronzo; Maria G Cicala; Elisa Pede; Daniela Chieffo; Paolo Mariotti; Cesare Colosimo; Eugenio Mercuri; Roberta Battini
Journal:  Front Neurosci       Date:  2022-02-07       Impact factor: 4.677

4.  Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets.

Authors:  Merel C Postema; Daan van Rooij; Evdokia Anagnostou; Celso Arango; Guillaume Auzias; Marlene Behrmann; Geraldo Busatto Filho; Sara Calderoni; Rosa Calvo; Eileen Daly; Christine Deruelle; Adriana Di Martino; Ilan Dinstein; Fabio Luis S Duran; Sarah Durston; Christine Ecker; Stefan Ehrlich; Damien Fair; Jennifer Fedor; Xin Feng; Jackie Fitzgerald; Dorothea L Floris; Christine M Freitag; Louise Gallagher; David C Glahn; Ilaria Gori; Shlomi Haar; Liesbeth Hoekstra; Neda Jahanshad; Maria Jalbrzikowski; Joost Janssen; Joseph A King; Xiang Zhen Kong; Luisa Lazaro; Jason P Lerch; Beatriz Luna; Mauricio M Martinho; Jane McGrath; Sarah E Medland; Filippo Muratori; Clodagh M Murphy; Declan G M Murphy; Kirsten O'Hearn; Bob Oranje; Mara Parellada; Olga Puig; Alessandra Retico; Pedro Rosa; Katya Rubia; Devon Shook; Margot J Taylor; Michela Tosetti; Gregory L Wallace; Fengfeng Zhou; Paul M Thompson; Simon E Fisher; Jan K Buitelaar; Clyde Francks
Journal:  Nat Commun       Date:  2019-10-31       Impact factor: 14.919

  4 in total

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