TY - JOUR
T1 - Cortical Thickness and Clinical Findings in Prescholar Children With Autism Spectrum Disorder
AU - Lucibello, Simona
AU - Bertè, Giovanna
AU - Verdolotti, Tommaso
AU - Lucignani, Martina
AU - Napolitano, Antonio
AU - D'Abronzo, Rosa
AU - Cicala, Maria G
AU - Pede, Elisa
AU - Chieffo, Daniela Pia Rosaria
AU - Mariotti, Paolo
AU - Colosimo, Cesare
AU - Mercuri, Eugenio Maria
AU - Battini, Roberta
PY - 2021
Y1 - 2021
N2 - : The term autism spectrum disorder (ASD) includes a wide variability of clinical presentation, and this clinical heterogeneity seems to reflect a still unclear multifactorial etiopathogenesis, encompassing different genetic risk factors and susceptibility to environmental factors. Several studies and many theories recognize as mechanisms of autism a disruption of brain development and maturation time course, suggesting the existence of common neurobiological substrates, such as defective synaptic structure and aberrant brain connectivity. Magnetic resonance imaging (MRI) plays an important role in both assessment of region-specific structural changes and quantification of specific alterations in gray or white matter, which could lead to the identification of an MRI biomarker. In this study, we performed measurement of cortical thickness in a selected well-known group of preschool ASD subjects with the aim of finding correlation between cortical metrics and clinical scores to understand the underlying mechanism of symptoms and to support early clinical diagnosis. Our results confirm that recent brain MRI techniques combined with clinical data can provide some useful information in defining the cerebral regions involved in ASD although large sample studies with homogeneous analytical and multisite approaches are needed.
AB - : The term autism spectrum disorder (ASD) includes a wide variability of clinical presentation, and this clinical heterogeneity seems to reflect a still unclear multifactorial etiopathogenesis, encompassing different genetic risk factors and susceptibility to environmental factors. Several studies and many theories recognize as mechanisms of autism a disruption of brain development and maturation time course, suggesting the existence of common neurobiological substrates, such as defective synaptic structure and aberrant brain connectivity. Magnetic resonance imaging (MRI) plays an important role in both assessment of region-specific structural changes and quantification of specific alterations in gray or white matter, which could lead to the identification of an MRI biomarker. In this study, we performed measurement of cortical thickness in a selected well-known group of preschool ASD subjects with the aim of finding correlation between cortical metrics and clinical scores to understand the underlying mechanism of symptoms and to support early clinical diagnosis. Our results confirm that recent brain MRI techniques combined with clinical data can provide some useful information in defining the cerebral regions involved in ASD although large sample studies with homogeneous analytical and multisite approaches are needed.
KW - MRI
KW - autism spectrum disorder (ASD)
KW - cortical thickness
KW - local gyrification index
KW - neuropsychological
KW - pre-scholar child
KW - MRI
KW - autism spectrum disorder (ASD)
KW - cortical thickness
KW - local gyrification index
KW - neuropsychological
KW - pre-scholar child
UR - https://publicatt.unicatt.it/handle/10807/223509
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85124970379&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124970379&origin=inward
U2 - 10.3389/fnins.2021.776860
DO - 10.3389/fnins.2021.776860
M3 - Article
SN - 1662-453X
VL - 15
SP - 1
EP - 8
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
IS - February
ER -