Mapping the structural organization of the brain in conduct disorder: replication of findings in two independent samples.
Neuroimaging methods that allow researchers to investigate structural covariance between brain regions are increasingly being used to study psychiatric disorders. Structural covariance analyses are particularly well suited for studying disorders with putative neurodevelopmental origins as they appear sensitive to changes in the synchronized maturation of different brain regions. We assessed interregional correlations in cortical thickness as a measure of structural covariance, and applied this method to investigate the coordinated development of different brain regions in conduct disorder (CD). We also assessed whether structural covariance measures could differentiate between the childhood-onset (CO-CD) and adolescence-onset (AO-CD) subtypes of CD, which may differ in terms of etiology and adult outcomes.



We examined interregional correlations in cortical thickness in male youths with CO-CD or AO-CD relative to healthy controls (HCs) in two independent datasets. The age range in the Cambridge sample was 16-21 years (mean: 18.0), whereas the age range of the Southampton sample was 13-18 years (mean: 16.7). We used FreeSurfer to perform segmentations and applied structural covariance methods to the resulting parcellations.



In both samples, CO-CD participants displayed a strikingly higher number of significant cross-cortical correlations compared to HC or AO-CD participants, whereas AO-CD participants presented fewer significant correlations than HCs. Group differences in the strength of the interregional correlations were observed in both samples, and each set of results remained significant when controlling for IQ and comorbid attention-deficit/hyperactivity disorder symptoms.



This study provides new evidence for quantitative differences in structural brain organization between the CO-CD and AO-CD subtypes, and supports the hypothesis that both subtypes of CD have neurodevelopmental origins.
Academic Unit of Psychology, University of Southampton, Southampton, UK.|Department of Psychiatry, University of Cambridge, Cambridge, UK.
Graeme
G
Fairchild
Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.|Martinos Center for Biomedical Imaging, Boston, MA, USA.|Harvard Medical School, Boston, MA, USA.
Nicola
N
Toschi
Academic Unit of Psychology, University of Southampton, Southampton, UK.
Kate
K
Sully
Academic Unit of Psychology, University of Southampton, Southampton, UK.|Department of Experimental, Clinical & Health Psychology, Gent University, Gent, Belgium.
Edmund J S
EJ
Sonuga-Barke
Department of Psychiatry, University of Cambridge, Cambridge, UK.|Department of Psychology, Columbia University, New York, NY, USA.
Cindy C
CC
Hagan
Department of Electrical, Electronic, and Information Engineering, University of Bologna, Bologna, Italy.
Stefano
S
Diciotti
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Ian M
IM
Goodyer
Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK.
Andrew J
AJ
Calder
Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK.|Institute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy.|Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Luca
L
Passamonti
D000293:Adolescent; D000328:Adult; D017668:Age of Onset; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000000981:diagnostic imaging / Q000473:pathology; D019955:Conduct Disorder / Q000000981:diagnostic imaging / Q000473:pathology* / Q000503:physiopathology; D006801:Humans; D007604:Juvenile Delinquency; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D055815:Young Adult
Cortical thickness; antisocial behavior; conduct disorder; developmental taxonomic theory; structural covariance