Nandita Vijayakumar1, Nicholas B Allen2, Meg Dennison3, Michelle L Byrne4, Julian G Simmons5, Sarah Whittle5. 1. Department of Psychology, University of Oregon, Eugene, Oregon, USA. Electronic address: nanditav@uoregon.edu. 2. Department of Psychology, University of Oregon, Eugene, Oregon, USA; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia; Orygen Youth Health Research Centre, Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia. 3. Department of Psychology, University of Washington, Seattle, Washington, USA. 4. Department of Psychology, University of Oregon, Eugene, Oregon, USA. 5. Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia.
Abstract
BACKGROUND: Adolescence is characterized by increasing prevalence of depressive symptomatology, along with significant structural brain development. While much research has examined focal abnormalities in gray matter structure underlying depression, we employed a structural coupling approach to examine whether longitudinal associations between amygdala and cortical development (referred to as maturational coupling) was related to concurrent changes in depressive symptomatology during adolescence. METHOD: 166 participants underwent up to three MRI scans (367 scans) between 11 and 20 years of age. Depressive symptoms were measured at three coinciding time points using the Center for Epidemiological Studies-Depression scale. Linear mixed models were employed to identify whether change in amygdala volume was related to development of cortical thickness, and if maturational coupling of these regions was related to changes in depressive symptomatology. RESULTS: Positive maturational coupling was identified between the right amygdala and (predominantly anterior) prefrontal cortex, as well as parts of the temporal cortices. Greater positive coupling of these regions was associated with reductions in depressive symptoms over time. CONCLUSIONS: Findings highlight significant associations between cortico-amygdalar maturational coupling and the emergence of depressive symptoms during adolescence, suggesting that synchronous development of these regions might support more adaptive affect regulation and functioning.
BACKGROUND: Adolescence is characterized by increasing prevalence of depressive symptomatology, along with significant structural brain development. While much research has examined focal abnormalities in gray matter structure underlying depression, we employed a structural coupling approach to examine whether longitudinal associations between amygdala and cortical development (referred to as maturational coupling) was related to concurrent changes in depressive symptomatology during adolescence. METHOD: 166 participants underwent up to three MRI scans (367 scans) between 11 and 20 years of age. Depressive symptoms were measured at three coinciding time points using the Center for Epidemiological Studies-Depression scale. Linear mixed models were employed to identify whether change in amygdala volume was related to development of cortical thickness, and if maturational coupling of these regions was related to changes in depressive symptomatology. RESULTS: Positive maturational coupling was identified between the right amygdala and (predominantly anterior) prefrontal cortex, as well as parts of the temporal cortices. Greater positive coupling of these regions was associated with reductions in depressive symptoms over time. CONCLUSIONS: Findings highlight significant associations between cortico-amygdalar maturational coupling and the emergence of depressive symptoms during adolescence, suggesting that synchronous development of these regions might support more adaptive affect regulation and functioning.
Authors: Sarah Whittle; Marie B H Yap; Lisa Sheeber; Paul Dudgeon; Murat Yücel; Christos Pantelis; Julian G Simmons; Nicholas B Allen Journal: Dev Psychopathol Date: 2011-02
Authors: Greg J Siegle; Wesley Thompson; Cameron S Carter; Stuart R Steinhauer; Michael E Thase Journal: Biol Psychiatry Date: 2006-10-06 Impact factor: 13.382
Authors: Nancy Raitano Lee; Armin Raznahan; Gregory L Wallace; Aaron Alexander-Bloch; Liv S Clasen; Jason P Lerch; Jay N Giedd Journal: Hum Brain Mapp Date: 2013-06-03 Impact factor: 5.038
Authors: Rebecca Kerestes; Christopher G Davey; Katerina Stephanou; Sarah Whittle; Ben J Harrison Journal: Neuroimage Clin Date: 2013-12-11 Impact factor: 4.881
Authors: Martin P Paulus; Lindsay M Squeglia; Kara Bagot; Joanna Jacobus; Rayus Kuplicki; Florence J Breslin; Jerzy Bodurka; Amanda Sheffield Morris; Wesley K Thompson; Hauke Bartsch; Susan F Tapert Journal: Neuroimage Date: 2018-10-16 Impact factor: 6.556
Authors: Adina S Fischer; M Catalina Camacho; Tiffany C Ho; Susan Whitfield-Gabrieli; Ian H Gotlib Journal: JAMA Psychiatry Date: 2018-05-01 Impact factor: 21.596
Authors: Hajer Nakua; Colin Hawco; Natalie J Forde; Grace R Jacobs; Michael Joseph; Aristotle N Voineskos; Anne L Wheeler; Meng-Chuan Lai; Peter Szatmari; Elizabeth Kelley; Xudong Liu; Stelios Georgiades; Rob Nicolson; Russell Schachar; Jennifer Crosbie; Evdokia Anagnostou; Jason P Lerch; Paul D Arnold; Stephanie H Ameis Journal: Brain Struct Funct Date: 2022-04-25 Impact factor: 3.748
Authors: Marieke G N Bos; Lara M Wierenga; Neeltje E Blankenstein; Elisabeth Schreuders; Christian K Tamnes; Eveline A Crone Journal: J Child Psychol Psychiatry Date: 2018-10 Impact factor: 8.982