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Structural covariance networks (SCNs) representing patterns of coordinated regional maturation are widely used to study abnormalities associated with neurodisorders. However, the possible developmental changes of SCNs in autistic individuals during the first 2 postnatal years, which features dynamic development and can potentially serve as biomarkers, remain unexplored. To fill this gap, for the first time, SCNs of cortical thickness and surface area were constructed and investigated in infants at high familial risk for autism and typically developing infants in this study. Group differences of SCNs emerge at 12\u00a0months of age in surface area. By 24\u00a0months of age, the autism group shows significantly increased integration, decreased segregation, and decreased small-worldness, compared with controls. The SCNs of surface area are deteriorated and shifted toward randomness in autistic infants. The abnormal brain regions changed during development, and the group differences of the left lateral occipital cortex become more prominent with age. These results indicate that autism has more significant influences on coordinated development of surface area than that of cortical thickness and the occipital cortex maybe an important biomarker of autism during infancy.<\/jats:p>","DOI":"10.1093\/cercor\/bhab448","type":"journal-article","created":{"date-parts":[[2021,12,11]],"date-time":"2021-12-11T20:08:48Z","timestamp":1639253328000},"page":"3786-3798","source":"Crossref","is-referenced-by-count":10,"title":["Developmental abnormalities of structural covariance networks of cortical thickness and surface area in autistic infants within the first 2\u00a0years"],"prefix":"10.1093","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6281-112X","authenticated-orcid":false,"given":"Ya","family":"Wang","sequence":"first","affiliation":[{"name":"National Key Discipline of Human Anatomy , School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China"},{"name":"Department of Radiology and Biomedical Research Imaging Center , University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Research Imaging Center , University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengwang","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Research Imaging Center , University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Research Imaging Center , University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhua","family":"Huang","sequence":"additional","affiliation":[{"name":"National Key Discipline of Human Anatomy , School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Research Imaging Center , University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"key":"2022090103180409300_ref1","doi-asserted-by":"crossref","first-page":"0174","DOI":"10.1371\/journal.pcbi.0030017","article-title":"Efficiency and cost of economical brain functional networks","volume":"3","author":"Achard","year":"2007","journal-title":"PLoS Comput 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