Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification

被引:101
|
作者
Yang, Daniel Y. -J. [1 ]
Beam, Danielle [1 ]
Pelphrey, Kevin A. [1 ]
Abdullahi, Sebiha [1 ]
Jou, Roger J. [1 ]
机构
[1] Yale Univ, Ctr Child Study, Ctr Translat Dev Neurosci, New Haven, CT 06520 USA
来源
MOLECULAR AUTISM | 2016年 / 7卷
关键词
Autism spectrum disorder; Neuroanatomy; Surface-based morphometry; Brain development; Brain structure; PROSPECTIVE MOTION CORRECTION; COMPARABLE SURFACE-AREA; HUMAN CEREBRAL-CORTEX; AGE; YEARS; SPECTRUM DISORDER; BRAIN GROWTH; MRI; SYSTEM; CHILDHOOD; EXPANSION;
D O I
10.1186/s13229-016-0076-x
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Individuals with autism spectrum disorder (ASD) have been characterized by altered cerebral cortical structures; however, the field has yet to identify consistent markers and prior studies have included mostly adolescents and adults. While there are multiple cortical morphological measures, including cortical thickness, surface area, cortical volume, and cortical gyrification, few single studies have examined all these measures. The current study analyzed all of the four measures and focused on pre-adolescent children with ASD. Methods: We employed the FreeSurfer pipeline to examine surface-based morphometry in 60 high-functioning boys with ASD (mean age = 8.35 years, range = 4-12 years) and 41 gender-, age-, and IQ-matched typically developing (TD) peers (mean age = 8.83 years), while testing for age-by-diagnosis interaction and between-group differences. Results: During childhood and in specific regions, ASD participants exhibited a lack of normative age-related cortical thinning and volumetric reduction and an abnormal age-related increase in gyrification. Regarding surface area, ASD and TD exhibited statistically comparable age-related development during childhood. Across childhood, ASD relative to TD participants tended to have higher mean levels of gyrification in specific regions. Within ASD, those with higher Social Responsiveness Scale total raw scores tended to have greater age-related increase in gyrification in specific regions during childhood. Conclusions: ASD is characterized by cortical neuroanatomical abnormalities that are age-, measure-, statistical model-, and region-dependent. The current study is the first to examine the development of all four cortical measures in one of the largest pre-adolescent samples. Strikingly, Neurosynth-based quantitative reverse inference of the surviving clusters suggests that many of the regions identified above are related to social perception, language, self-referential, and action observation networks-those frequently found to be functionally altered in individuals with ASD. The comprehensive, multilevel analyses across a wide range of cortical measures help fill a knowledge gap and present a complex but rich picture of neuroanatomical developmental differences in children with ASD.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Hippocampal volume and magnetic resonance imaging markers in clinical trials
    Doraiswamy, PM
    INTERNATIONAL PSYCHOGERIATRICS, 2003, 15 : 86 - 86
  • [32] Effects of alcohol dependence on cortical thickness as determined by magnetic resonance imaging
    Momenan, Reza
    Steckler, Leah E.
    Saad, Ziad S.
    van Rafelghem, Stefanie
    Kerich, Michael J.
    Hommer, Daniel W.
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2012, 204 (2-3) : 101 - 111
  • [33] Structural and functional magnetic resonance imaging of autism spectrum disorders
    Stigler, Kimberly A.
    McDonald, Brenna C.
    Anand, Amit
    Saykin, Andrew J.
    McDougle, Christopher J.
    BRAIN RESEARCH, 2011, 1380 : 146 - 161
  • [34] The yield of structural magnetic resonance imaging in autism spectrum disorders
    Lisy, Jiri
    Efremova, Andrea
    Hrdlicka, Michal
    BIOMEDICAL PAPERS-OLOMOUC, 2019, 163 (04): : 374 - 378
  • [35] A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study
    Eyler, Lisa T.
    Chen, Chi-Hua
    Panizzon, Matthew S.
    Fennema-Notestine, Christine
    Neale, Michael C.
    Jak, Amy
    Jernigan, Terry L.
    Fischl, Bruce
    Franz, Carol E.
    Lyons, Michael J.
    Grant, Michael
    Prom-Wormley, Elizabeth
    Seidman, Larry J.
    Tsuang, Ming T.
    Fiecas, Mark Joseph A.
    Dale, Anders M.
    Kremen, William S.
    TWIN RESEARCH AND HUMAN GENETICS, 2012, 15 (03) : 304 - 314
  • [36] Cortical abnormalities in schizophrenia identified by structural magnetic resonance imaging
    Goldstein, JM
    Goodman, JM
    Seidman, LJ
    Kennedy, DN
    Makris, N
    Lee, H
    Tourville, J
    Caviness, VS
    Faraone, SV
    Tsuang, MT
    ARCHIVES OF GENERAL PSYCHIATRY, 1999, 56 (06) : 537 - 547
  • [37] Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children
    Tang, Shilong
    Nie, Lisha
    Liu, Xianfan
    Chen, Zhuo
    Zhou, Yu
    Pan, Zhengxia
    He, Ling
    FRONTIERS IN MEDICINE, 2022, 9
  • [38] Magnetic resonance imaging study of the orbitofrontal cortex in autism
    Hardan, Antonio Y.
    Girgis, Ragy R.
    Lacerda, Acioly L. T.
    Yorbik, Ozgur
    Kilpatiick, Megan
    Keshavan, Matcheri S.
    Minshew, Nancy J.
    JOURNAL OF CHILD NEUROLOGY, 2006, 21 (10) : 866 - 871
  • [39] MAGNETIC-RESONANCE-IMAGING EVIDENCE FOR A DEFECT OF CEREBRAL CORTICAL DEVELOPMENT IN AUTISM
    PIVEN, J
    BERTHIER, ML
    STARKSTEIN, SE
    NEHME, E
    PEARLSON, G
    FOLSTEIN, S
    AMERICAN JOURNAL OF PSYCHIATRY, 1990, 147 (06): : 734 - 739
  • [40] Structural asymmetry of the human cerebral cortex: Regional and between-subject variability of surface area, cortical thickness, and local gyrification
    Chiarello, Christine
    Vazquez, David
    Felton, Adam
    McDowell, Alessandra
    NEUROPSYCHOLOGIA, 2016, 93 : 365 - 379