Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study
Unstable and unpredictable environments are linked to risk for psychopathology, but the underlying neural mechanisms that explain how instability relate to subsequent mental health concerns remain unclear. In particular, few studies have focused on the association between instability and white matte...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Developmental Cognitive Neuroscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929323000580 |
| _version_ | 1827923870747721728 |
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| author | Felicia A. Hardi Leigh G. Goetschius Scott Tillem Vonnie McLoyd Jeanne Brooks-Gunn Montana Boone Nestor Lopez-Duran Colter Mitchell Luke W. Hyde Christopher S. Monk |
| author_facet | Felicia A. Hardi Leigh G. Goetschius Scott Tillem Vonnie McLoyd Jeanne Brooks-Gunn Montana Boone Nestor Lopez-Duran Colter Mitchell Luke W. Hyde Christopher S. Monk |
| author_sort | Felicia A. Hardi |
| collection | DOAJ |
| description | Unstable and unpredictable environments are linked to risk for psychopathology, but the underlying neural mechanisms that explain how instability relate to subsequent mental health concerns remain unclear. In particular, few studies have focused on the association between instability and white matter structures despite white matter playing a crucial role for neural development. In a longitudinal sample recruited from a population-based study (N = 237), household instability (residential moves, changes in household composition, caregiver transitions in the first 5 years) was examined in association with adolescent structural network organization (network integration, segregation, and robustness of white matter connectomes; Mage = 15.87) and young adulthood anxiety and depression (six years later). Results indicate that greater instability related to greater global network efficiency, and this association remained after accounting for other types of adversity (e.g., harsh parenting, neglect, food insecurity). Moreover, instability predicted increased depressive symptoms via increased network efficiency even after controlling for previous levels of symptoms. Exploratory analyses showed that structural connectivity involving the left fronto-lateral and temporal regions were most strongly related to instability. Findings suggest that structural network efficiency relating to household instability may be a neural mechanism of risk for later depression and highlight the ways in which instability modulates neural development. |
| first_indexed | 2024-03-13T05:02:47Z |
| format | Article |
| id | doaj.art-000c4e69a6a84bdcb571449ca321471f |
| institution | Directory Open Access Journal |
| issn | 1878-9293 |
| language | English |
| last_indexed | 2024-03-13T05:02:47Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developmental Cognitive Neuroscience |
| spelling | doaj.art-000c4e69a6a84bdcb571449ca321471f2023-06-17T05:17:59ZengElsevierDevelopmental Cognitive Neuroscience1878-92932023-06-0161101253Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal studyFelicia A. Hardi0Leigh G. Goetschius1Scott Tillem2Vonnie McLoyd3Jeanne Brooks-Gunn4Montana Boone5Nestor Lopez-Duran6Colter Mitchell7Luke W. Hyde8Christopher S. Monk9Department of Psychology, University of Michigan, Ann Arbor, MI, United States of AmericaThe Hilltop Institute, University of Maryland, Baltimore County, Baltimore, MD, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of AmericaTeachers College, Columbia University, New York, NY, United States of America; College of Physicians and Surgeons, Columbia University, New York, NY, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of AmericaSurvey Research Center of the Institute for Social Research, University of Michigan, United States of America; Population Studies Center of the Institute for Social Research, University of Michigan, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of America; Survey Research Center of the Institute for Social Research, University of Michigan, United States of AmericaDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States of America; Survey Research Center of the Institute for Social Research, University of Michigan, United States of America; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States of America; Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States of America; Correspondence to: University of Michigan, 2000 East Hall, 530 Church St, Ann Arbor, MI 48109-1043, United States of America.Unstable and unpredictable environments are linked to risk for psychopathology, but the underlying neural mechanisms that explain how instability relate to subsequent mental health concerns remain unclear. In particular, few studies have focused on the association between instability and white matter structures despite white matter playing a crucial role for neural development. In a longitudinal sample recruited from a population-based study (N = 237), household instability (residential moves, changes in household composition, caregiver transitions in the first 5 years) was examined in association with adolescent structural network organization (network integration, segregation, and robustness of white matter connectomes; Mage = 15.87) and young adulthood anxiety and depression (six years later). Results indicate that greater instability related to greater global network efficiency, and this association remained after accounting for other types of adversity (e.g., harsh parenting, neglect, food insecurity). Moreover, instability predicted increased depressive symptoms via increased network efficiency even after controlling for previous levels of symptoms. Exploratory analyses showed that structural connectivity involving the left fronto-lateral and temporal regions were most strongly related to instability. Findings suggest that structural network efficiency relating to household instability may be a neural mechanism of risk for later depression and highlight the ways in which instability modulates neural development.http://www.sciencedirect.com/science/article/pii/S1878929323000580InstabilityStructural networkNetwork architectureDepression |
| spellingShingle | Felicia A. Hardi Leigh G. Goetschius Scott Tillem Vonnie McLoyd Jeanne Brooks-Gunn Montana Boone Nestor Lopez-Duran Colter Mitchell Luke W. Hyde Christopher S. Monk Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study Developmental Cognitive Neuroscience Instability Structural network Network architecture Depression |
| title | Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study |
| title_full | Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study |
| title_fullStr | Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study |
| title_full_unstemmed | Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study |
| title_short | Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study |
| title_sort | early childhood household instability adolescent structural neural network architecture and young adulthood depression a 21 year longitudinal study |
| topic | Instability Structural network Network architecture Depression |
| url | http://www.sciencedirect.com/science/article/pii/S1878929323000580 |
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