Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling

Abstract Background Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate c...

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Main Authors: Ru Zhang, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Jaimie Elowsky, Johannah Bashford-Largo, Ahria J. Dominguez, Melissa Hatch, Sahil Bajaj
Format: Article
Language:English
Published: Springer 2023-11-01
Series:Discover Mental Health
Online Access:https://doi.org/10.1007/s44192-023-00052-3
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author Ru Zhang
R. James R. Blair
Karina S. Blair
Matthew Dobbertin
Jaimie Elowsky
Johannah Bashford-Largo
Ahria J. Dominguez
Melissa Hatch
Sahil Bajaj
author_facet Ru Zhang
R. James R. Blair
Karina S. Blair
Matthew Dobbertin
Jaimie Elowsky
Johannah Bashford-Largo
Ahria J. Dominguez
Melissa Hatch
Sahil Bajaj
author_sort Ru Zhang
collection DOAJ
description Abstract Background Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate cortex, and fusiform gyrus. The current study developed a multivariate generalized linear model (GLM) to differentiate adolescents with CD from typically developing (TD) adolescents in terms of grey matter volume (GMV). Methods The whole‐brain structural MRI data were collected from 96 adolescents with CD (mean age = $$16.188\pm 1.259$$ 16.188 ± 1.259 years; mean IQ =  $$104.292\pm 8.107$$ 104.292 ± 8.107 ; 63 males) and 90 TD individuals (mean age = $$15.956\pm 1.506$$ 15.956 ± 1.506 years; mean IQ =  $$106.622\pm 9.076$$ 106.622 ± 9.076 ; 59 males) matched on age, IQ, and sex. Region-wise GMV was extracted following whole-brain parcellation into 68 cortical and 14 subcortical regions for each participant. A multivariate GLM was developed to predict the GMV of the pre-hypothesized regions-of-interest (ROIs) based on CD diagnosis, with intracranial volume, age, sex, and IQ serving as the covariate. Results A diagnosis of CD was a significant predictor for GMV in the right pars orbitalis, right insula, right superior temporal gyrus, left fusiform gyrus, and left amygdala (F (1, 180) = 5.460–10.317, p < 0.05, partial eta squared = 0.029–0.054). The CD participants had smaller GMV in these regions than the TD participants (MCD–MTD = [− 614.898] mm3–[− 53.461] mm3). Conclusions Altered GMV within specific regions may serve as a biomarker for the development of CD in adolescents. Clinical work can potentially target these biomarkers to treat adolescents with CD.
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spelling doaj.art-dc42a733982344d8b40588b0212de9e32023-11-19T12:30:23ZengSpringerDiscover Mental Health2731-43832023-11-013111010.1007/s44192-023-00052-3Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modelingRu Zhang0R. James R. Blair1Karina S. Blair2Matthew Dobbertin3Jaimie Elowsky4Johannah Bashford-Largo5Ahria J. Dominguez6Melissa Hatch7Sahil Bajaj8Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaChild and Adolescent Mental Health Centre, Mental Health ServicesCenter for Neurobehavioral Research, Boys Town National Research HospitalInpatient Psychiatric Care Unit, Boys Town National Research HospitalDepartment of Psychology, University of Nebraska-LincolnCenter for Brain, Biology, and Behavior, University of Nebraska-LincolnClinical Health, Emotion, and Neuroscience (CHEN) Laboratory, Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center (UNMC)Mind and Brain Health Labs (MBHL), Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center (UNMC)Department of Cancer Systems Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer CenterAbstract Background Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate cortex, and fusiform gyrus. The current study developed a multivariate generalized linear model (GLM) to differentiate adolescents with CD from typically developing (TD) adolescents in terms of grey matter volume (GMV). Methods The whole‐brain structural MRI data were collected from 96 adolescents with CD (mean age = $$16.188\pm 1.259$$ 16.188 ± 1.259 years; mean IQ =  $$104.292\pm 8.107$$ 104.292 ± 8.107 ; 63 males) and 90 TD individuals (mean age = $$15.956\pm 1.506$$ 15.956 ± 1.506 years; mean IQ =  $$106.622\pm 9.076$$ 106.622 ± 9.076 ; 59 males) matched on age, IQ, and sex. Region-wise GMV was extracted following whole-brain parcellation into 68 cortical and 14 subcortical regions for each participant. A multivariate GLM was developed to predict the GMV of the pre-hypothesized regions-of-interest (ROIs) based on CD diagnosis, with intracranial volume, age, sex, and IQ serving as the covariate. Results A diagnosis of CD was a significant predictor for GMV in the right pars orbitalis, right insula, right superior temporal gyrus, left fusiform gyrus, and left amygdala (F (1, 180) = 5.460–10.317, p < 0.05, partial eta squared = 0.029–0.054). The CD participants had smaller GMV in these regions than the TD participants (MCD–MTD = [− 614.898] mm3–[− 53.461] mm3). Conclusions Altered GMV within specific regions may serve as a biomarker for the development of CD in adolescents. Clinical work can potentially target these biomarkers to treat adolescents with CD.https://doi.org/10.1007/s44192-023-00052-3
spellingShingle Ru Zhang
R. James R. Blair
Karina S. Blair
Matthew Dobbertin
Jaimie Elowsky
Johannah Bashford-Largo
Ahria J. Dominguez
Melissa Hatch
Sahil Bajaj
Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
Discover Mental Health
title Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
title_full Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
title_fullStr Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
title_full_unstemmed Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
title_short Reduced grey matter volume in adolescents with conduct disorder: a region-of-interest analysis using multivariate generalized linear modeling
title_sort reduced grey matter volume in adolescents with conduct disorder a region of interest analysis using multivariate generalized linear modeling
url https://doi.org/10.1007/s44192-023-00052-3
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