Files and links (2)
Published, Version of Record (VoR)CC BY-NC-SA V4.0, Open
Journal article
Distinct Cortical Correlates of Autistic versus Antisocial Traits in a Longitudinal Sample of Typically Developing Youth
The Journal of neuroscience, v 32(14), pp 4856-4860
04 Apr 2012
PMID: 22492041
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In humans, behaviors associated with autism and antisociality, disorders characterized by distinct social impairments, can be viewed as quantitative traits that range from frank impairment to normal variation, as found in the general population. Neuroimaging investigations of autism and antisociality demonstrate diagnostically specific aberrant cortical brain structure. However, little is known about structural brain correlates of social behavior in nonclinical populations. Therefore, we sought to determine whether autistic and antisocial traits exhibit dissociable cortical correlates and whether these associations are stable across development among typically developing youth. Three hundred twenty-three typically developing youth (age at first scan: mean = 10.63, SD = 3.71 years) underwent anatomic magnetic resonance imaging (1-6 scans each; total = 742 scans), and provided ratings of autistic and antisocial traits. Higher autistic trait ratings were associated with thinner cortex most prominently in right superior temporal sulcus while higher antisocial trait ratings were associated with thinner cortex in primarily bilateral anterior prefrontal cortices. There was no interaction with age, indicating that these brain-behavior associations were stable across development. Using assessments of both subclinical autistic and subclinical antisocial traits within a large longitudinal sample of typically developing youth, we demonstrate dissociable neuroanatomic correlations that parallel those found in the frank clinical disorders of autism (e. g., superior temporal cortex) and antisociality (e. g., anterior prefrontal cortex). Moreover, these correlations appear to be established in early childhood and remain fixed into early adulthood. These results support the dimensional view of psychopathology and provide neural signatures that can serve as informative endophenotypes for future genetic studies.
Metrics
Details
- Title
- Distinct Cortical Correlates of Autistic versus Antisocial Traits in a Longitudinal Sample of Typically Developing Youth
- Creators
- Gregory L. Wallace - National Institute of Mental HealthPhilip Shaw - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USANancy Raitano Lee - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USALiv S. Clasen - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USAArmin Raznahan - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USARhoshel K. Lenroot - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USAAlex Martin - NIMH, Lab Brain & Cognit, NIH, Bethesda, MD 20892 USAJay N. Giedd - NIMH, Child Psychiat Branch, NIH, Bethesda, MD 20892 USA
- Publication Details
- The Journal of neuroscience, v 32(14), pp 4856-4860
- Publisher
- Soc Neuroscience
- Number of pages
- 5
- Grant note
- ZIAMH002920 / NATIONAL INSTITUTE OF MENTAL HEALTH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) NIH, National Institute of Mental Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) ZIAHG200378 / NATIONAL HUMAN GENOME RESEARCH INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000302783500016
- Scopus ID
- 2-s2.0-84859340821
- Other Identifier
- 991019296800404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neurosciences