Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood

被引：0

作者：

Molly B. D. Prigge

Erin D. Bigler

Nicholas Lange

Jubel Morgan

Alyson Froehlich

Abigail Freeman

Kristina Kellett

Karen L. Kane

Carolyn K. King

June Taylor

Douglas C. Dean

Jace B. King

Jeff S. Anderson

Brandon A. Zielinski

Andrew L. Alexander

Janet E. Lainhart

机构：

[1] University of Utah,Department of Radiology and Imaging Sciences, Radiology Research

[2] Brigham Young University,Department of Psychology and Neuroscience Center

[3] University of Utah,Department of Neurology

[4] University of Utah,Department of Psychiatry

[5] University of California-Davis,Department of Neurology

[6] Harvard School of Medicine,Department of Psychiatry

[7] University of Utah,Department of Psychology

[8] University of Wisconsin-Madison,Waisman Center

[9] University of Wisconsin-Madison,Department of Medicine

[10] University of Utah,Department of Pediatrics

[11] University of Wisconsin-Madison,Department of Pediatrics

[12] University of Wisconsin-Madison,Department of Medical Physics

[13] University of Wisconsin-Madison,Department of Psychiatry

来源：

Journal of Autism and Developmental Disorders | 2022年 / 52卷

关键词：

Autism spectrum disorder; ASD; Intelligence; Longitudinal study; Cognitive development; Stability;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3–36 years of age at first visit) and 128 typically developing controls. Intelligence measures were collected over a 20-year period. In ASD, Full Scale (FSIQ) and Verbal (VIQ) Intelligence started lower in childhood and increased at a greater rate with age relative to the control group. By early adulthood, VIQ and working memory stabilized, whereas nonverbal and perceptual scores continued to change. Our results suggest that in individuals with ASD, IQ estimates may be dynamic in childhood and young adulthood.

引用

页码：4490 / 4504

页数：14

共 465 条

[1]

Akaike H(1974)A new look at the statistical model identification IEEE Transactions on Automatic Control 19 716-723

[2]

Akshoomoff N(2006)Use of the Mullen Scales of Early Learning for the assessment of young children with Autism Spectrum Disorders Child Neuropsychology 12 269-277

[3]

Alexander AL(2007)Diffusion tensor imaging of the corpus callosum in Autism NeuroImage 34 61-73

[4]

Lee JE(2014)Predicting young adult outcome among more and less cognitively able individuals with autism spectrum disorders Journal of Child Psychology and Psychiatry 55 485-494

[5]

Lazar M(2011)Functional connectivity magnetic resonance imaging classification of autism Brain 134 3742-3754

[6]

Boudos R(2009)Longitudinal studies of IQ stability in children with childhood autism - literature survey Psychiatria Danubina 21 310-319

[7]

DuBray MB(2017)Structural neuroimaging in neuropsychology: History and contemporary applications Neuropsychology 31 934-953

[8]

Oakes TR(2017)Identification of Developmental and Behavioral Markers Associated With Genetic Abnormalities in Autism Spectrum Disorder American Journal of Psychiatry 174 576-585

[9]

Miller JN(2015)Measurement of nonverbal IQ in autism spectrum disorder: Scores in young adulthood compared to early childhood Journal of Autism and Developmental Disorders 45 966-974

[10]

Lu J(2011)Convergent validity of the Mullen Scales of Early Learning and the differential ability scales in children with autism spectrum disorders American Journal on Intellectual and Developmental Disabilities 116 331-343

← 1 2 3 4 5 6 7 8 9 10 →