Roza M Vlasova1, Prabha Siddarth1, Beatrix Krause1, Amber M Leaver2, Kelsey T Laird1, Natalie St Cyr1, Katherine L Narr2, Helen Lavretsky3. 1. Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA. 2. Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California at Los Angeles, Los Angeles, CA. 3. Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA. Electronic address: hlavretsky@mednet.ucla.edu.
Abstract
OBJECTIVE: Greater psychological resilience may protect against developing depression in a growing geriatric population. Identifying the neural correlates of resilience in geriatric depression could provide neurobiologic targets to inform clinical interventions. However, most prior neuroimaging studies have only considered the presence or absence of resilience and have not addressed the multifactorial nature of resilience. The current study aimed to establish the neural correlates of four factors of resilience in the depressed elderly. METHODS: White matter integrity was assessed using diffusion-weighted magnetic resonance imaging data collected from 70 older adults with major depressive disorder. We used four resilience factors previously derived in an exploratory factor analysis of the Connor-Davidson Resilience Scale in a large sample of depressed older adults: 1, grit; 2, active coping self-efficacy; 3, accommodative coping self-efficacy; and 4, spirituality. RESULTS: The resilience factor "grit" was positively associated with fractional anisotropy in the callosal region connecting prefrontal cortex and fractional anisotropy in cingulum fibers; however, the latter did not survive correction for multiple comparisons. CONCLUSION: Structural integrity of major white matter pathways implicated in cognitive control and emotion regulation (i.e., connecting prefrontal cortex) was positively associated with the resilience factor "grit" in our sample of older adults with depression. Prospective studies are needed to determine the utility of the structural integrity of these pathways as a biomarker in predicting risk for depression and treatment response.
OBJECTIVE: Greater psychological resilience may protect against developing depression in a growing geriatric population. Identifying the neural correlates of resilience in geriatric depression could provide neurobiologic targets to inform clinical interventions. However, most prior neuroimaging studies have only considered the presence or absence of resilience and have not addressed the multifactorial nature of resilience. The current study aimed to establish the neural correlates of four factors of resilience in the depressed elderly. METHODS:White matter integrity was assessed using diffusion-weighted magnetic resonance imaging data collected from 70 older adults with major depressive disorder. We used four resilience factors previously derived in an exploratory factor analysis of the Connor-Davidson Resilience Scale in a large sample of depressed older adults: 1, grit; 2, active coping self-efficacy; 3, accommodative coping self-efficacy; and 4, spirituality. RESULTS: The resilience factor "grit" was positively associated with fractional anisotropy in the callosal region connecting prefrontal cortex and fractional anisotropy in cingulum fibers; however, the latter did not survive correction for multiple comparisons. CONCLUSION: Structural integrity of major white matter pathways implicated in cognitive control and emotion regulation (i.e., connecting prefrontal cortex) was positively associated with the resilience factor "grit" in our sample of older adults with depression. Prospective studies are needed to determine the utility of the structural integrity of these pathways as a biomarker in predicting risk for depression and treatment response.
Authors: Justine M Gatt; Mayuresh S Korgaonkar; Peter R Schofield; Anthony Harris; C Richard Clark; Karen L Oakley; Kaushik Ram; Hope Michaelson; Sarsha Yap; Melinda Stanners; Vikki Wise; Leanne M Williams Journal: Twin Res Hum Genet Date: 2012-06 Impact factor: 1.587
Authors: S J A van der Werff; S M van den Berg; J N Pannekoek; B M Elzinga; N J A van der Wee Journal: Front Behav Neurosci Date: 2013-05-07 Impact factor: 3.558
Authors: Neda Jahanshad; Rajendra A Morey; Emily L Dennis; Seth G Disner; Negar Fani; Lauren E Salminen; Mark Logue; Emily K Clarke; Courtney C Haswell; Christopher L Averill; Lee A Baugh; Jessica Bomyea; Steven E Bruce; Jiook Cha; Kyle Choi; Nicholas D Davenport; Maria Densmore; Stefan du Plessis; Gina L Forster; Jessie L Frijling; Atilla Gonenc; Staci Gruber; Daniel W Grupe; Jeffrey P Guenette; Jasmeet Hayes; David Hofmann; Jonathan Ipser; Tanja Jovanovic; Sinead Kelly; Mitzy Kennis; Philipp Kinzel; Saskia B J Koch; Inga Koerte; Sheri Koopowitz; Mayuresh Korgaonkar; John Krystal; Lauren A M Lebois; Gen Li; Vincent A Magnotta; Antje Manthey; Geoff J May; Deleene S Menefee; Laura Nawijn; Steven M Nelson; Richard W J Neufeld; Jack B Nitschke; Daniel O'Doherty; Matthew Peverill; Kerry J Ressler; Annerine Roos; Margaret A Sheridan; Anika Sierk; Alan Simmons; Raluca M Simons; Jeffrey S Simons; Jennifer Stevens; Benjamin Suarez-Jimenez; Danielle R Sullivan; Jean Théberge; Jana K Tran; Leigh van den Heuvel; Steven J A van der Werff; Sanne J H van Rooij; Mirjam van Zuiden; Carmen Velez; Mieke Verfaellie; Robert R J M Vermeiren; Benjamin S C Wade; Tor Wager; Henrik Walter; Sherry Winternitz; Jonathan Wolff; Gerald York; Ye Zhu; Xi Zhu; Chadi G Abdallah; Richard Bryant; Judith K Daniels; Richard J Davidson; Kelene A Fercho; Carol Franz; Elbert Geuze; Evan M Gordon; Milissa L Kaufman; William S Kremen; Jim Lagopoulos; Ruth A Lanius; Michael J Lyons; Stephen R McCauley; Regina McGlinchey; Katie A McLaughlin; William Milberg; Yuval Neria; Miranda Olff; Soraya Seedat; Martha Shenton; Scott R Sponheim; Dan J Stein; Murray B Stein; Thomas Straube; David F Tate; Nic J A van der Wee; Dick J Veltman; Li Wang; Elisabeth A Wilde; Paul M Thompson; Peter Kochunov Journal: Mol Psychiatry Date: 2019-12-19 Impact factor: 15.992