1. Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
- Author
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Jaimie Elowsky, Soonjo Hwang, Amanda Schwartz, Avantika Mathur, Karina S. Blair, Johannah Bashford-Largo, R. James R. Blair, Ru Zhang, Matthew Dobbertin, Sahil Bajaj, and Ellen Leibenluft
- Subjects
medicine.medical_specialty ,Multivariate analysis ,Adolescent ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Negative association ,Audiology ,Irritability ,Cortical volume ,Amygdala ,Article ,Functional networks ,Cellular and Molecular Neuroscience ,Human behaviour ,Control network ,medicine ,Biological neural network ,Humans ,Biological Psychiatry ,business.industry ,Brain ,Diagnostic markers ,Magnetic Resonance Imaging ,Irritable Mood ,Psychiatry and Mental health ,medicine.anatomical_structure ,Female ,medicine.symptom ,business ,RC321-571 - Abstract
Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonical functional networks; (ii) the association between the CV of functional networks and severity of irritability; and (iii) the extent to which IQ mediates the association between structural abnormalities and severity of irritability. Structural MRI and IQ data were collected from 130 adolescents with high irritability (mean age = 15.54±1.83 years, 58 females, self-reported Affective Reactivity Index [ARI] ≥ 4) and 119 adolescents with low irritability (mean age = 15.10±1.93 years, 39 females, self-reported ARI < 4). Subject-specific network-wise CV was estimated after parcellating the whole brain into 17 previously reported functional networks. Our Multivariate Analysis of Covariance (MANCOVA) revealed that adolescents with high irritability had significantly reduced CV of the bilateral control and default-mode networks (p
- Published
- 2021