Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence

• Authors: Brittany K. Taylor, Boys Town National Research Hospital; Michaela R. Frenzel, Boys Town National Research Hospital; Jacob A. Eastman, Boys Town National Research Hospital; Christine M. Embury, Boys Town National Research Hospital; Oktay Agcaoglu, Georgia State University; Yu-Ping Wang, Tulane University; Julia M. Stephen, The Mind Research Network; Vince D. Calhoun, Georgia State University; Tony W. Wilson, Boys Town National Research Hospital
• Journal Title: NeuroImage
• Volume: Volume 247
• Publisher: Elsevier Science Inc. | 2022-02-15, Pages 118852-118852
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1016/j.neuroimage.2021.118852
• Subjects: Biology, Neuroscience; Health Sciences, Pharmacology; Engineering, Biomedical; Psychology, Cognitive
• Keywords: Development; Emotional control; Striatum; Structural Equation Modeling (SEM); Structure-function relationships; longitudinal; Adolescent; Amygdala; Child; Cognition; Corpus Striatum; Emotions; Female; Humans; Image Processing, Computer-Assisted; Individuality; Latent Class Analysis; Longitudinal Studies; Magnetic Resonance Imaging; Male; Neural Pathways; Organ Size

Abstract

Adolescence is a critical period of structural and functional neural maturation among regions serving the cognitive control of emotion. Evidence suggests that this process is guided by developmental changes in amygdala and striatum structure and shifts in functional connectivity between subcortical (SC) and cognitive control (CC) networks. Herein, we investigate the extent to which such developmental shifts in structure and function reciprocally predict one another over time. 179 youth (9-15 years-old) completed annual MRI scans for three years. Amygdala and striatum volumes and connectivity within and between SC and CC resting state networks were measured for each year. We tested for reciprocal predictability of within-person and between-person changes in structure and function using random-intercept cross-lagged panel models. Within-person shifts in amygdala volumes in a given year significantly and specifically predicted deviations in SC-CC connectivity in the following year, such that an increase in volume was associated with decreased SC-CC connectivity the following year. Deviations in connectivity did not predict changes in amygdala volumes over time. Conversely, broader group-level shifts in SC-CC connectivity were predictive of subsequent deviations in striatal volumes. We did not see any cross-predictability among amygdala or striatum volumes and within-network connectivity measures. Within-person shifts in amygdala structure year-to-year robustly predicted weaker SC-CC connectivity in subsequent years, whereas broader increases in SC-CC connectivity predicted smaller striatal volumes over time. These specific structure function relationships may contribute to the development of emotional control across adolescence.