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Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults.
Levman, Jacob; MacDonald, Patrick; Rowley, Sean; Stewart, Natalie; Lim, Ashley; Ewenson, Bryan; Galaburda, Albert; Takahashi, Emi.
Afiliação
  • Levman J; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
  • MacDonald P; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Charlestown, MA, United States.
  • Rowley S; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada.
  • Stewart N; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
  • Lim A; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada.
  • Ewenson B; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
  • Galaburda A; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
  • Takahashi E; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada.
Front Hum Neurosci ; 13: 75, 2019.
Article em En | MEDLINE | ID: mdl-30930758
ABSTRACT
Autism is a group of complex neurodevelopmental disorders characterized by impaired social interaction and restricted/repetitive behavior. We performed a large-scale retrospective analysis of 1,996 clinical neurological structural magnetic resonance imaging (MRI) examinations of 781 autistic and 988 control subjects (aged 0-32 years), and extracted regionally distributed cortical thickness measurements, including average measurements as well as standard deviations which supports the assessment of intra-regional cortical thickness variability. The youngest autistic participants (<2.5 years) were diagnosed after imaging and were identified retrospectively. The largest effect sizes and the most common findings not previously published in the scientific literature involve abnormal intra-regional variability in cortical thickness affecting many (but not all) regions of the autistic brain, suggesting irregular gray matter development in autism that can be detected with MRI. Atypical developmental patterns have been detected as early as 0 years old in individuals who would later be diagnosed with autism.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article