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Westerman HB, Suarez GL, Richmond-Rakerd LS, Nusslock R, Klump KL, Burt SA, Hyde LW. Exposure to community violence as a mechanism linking neighborhood socioeconomic disadvantage and neural responses to reward. Soc Cogn Affect Neurosci 2024; 19:nsae029. [PMID: 38619118 PMCID: PMC11079326 DOI: 10.1093/scan/nsae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/23/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024] Open
Abstract
A growing literature links socioeconomic disadvantage and adversity to brain function, including disruptions in reward processing. Less research has examined exposure to community violence (ECV) as a specific adversity related to differences in reward-related brain activation, despite the prevalence of community violence exposure for those living in disadvantaged contexts. The current study tested whether ECV was associated with reward-related ventral striatum (VS) activation after accounting for familial factors associated with differences in reward-related activation (e.g. parenting and family income). Moreover, we tested whether ECV is a mechanism linking socioeconomic disadvantage to reward-related activation in the VS. We utilized data from 444 adolescent twins sampled from birth records and residing in neighborhoods with above-average levels of poverty. ECV was associated with greater reward-related VS activation, and the association remained after accounting for family-level markers of disadvantage. We identified an indirect pathway in which socioeconomic disadvantage predicted greater reward-related activation via greater ECV, over and above family-level adversity. These findings highlight the unique impact of community violence exposure on reward processing and provide a mechanism through which socioeconomic disadvantage may shape brain function.
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Affiliation(s)
- Heidi B Westerman
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Gabriela L Suarez
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Robin Nusslock
- Department of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA
| | - Kelly L Klump
- Department of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
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2
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Ingram SJ, Vazquez AY, Klump KL, Hyde LW, Burt SA, Clark SL. Associations of depression and anxiety symptoms in childhood and adolescence with epigenetic aging. J Affect Disord 2024; 352:250-258. [PMID: 38360371 PMCID: PMC11000694 DOI: 10.1016/j.jad.2024.02.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Childhood anxiety and depression symptoms are potential risk factors for accelerated biological aging. In child and adolescent twins, we tested whether these symptoms were associated with DNA methylation (DNAm) aging, a measure of biological aging. METHODS 276 twins (135 pairs, 6 singletons) had DNAm assayed from saliva in middle childhood (mean = 7.8 years). Residuals of five different DNAm age estimates regressed on chronological age were used to indicate accelerated aging. Anxiety and depression symptoms were assessed in middle childhood and early adolescence using the Child Behavior Checklist. Mixed effect regression was used to examine potential relationships between anxiety or depression symptoms, and accelerated DNAm age. MZ twin difference analysis was then utilized to determine if associations were environmentally-driven or due to genetic or shared-environment confounding. RESULTS Anxiety and depression symptoms were not associated with accelerated DNAm aging in middle childhood. In early adolescence, only the Wu clock was significant and indicated that each one symptom increase in anxiety symptoms had an associated age acceleration of 0.03 years (~0.4 months; p = 0.019). MZ twin difference analysis revealed non-significant within-pair effects, suggesting genetic and shared environmental influences. LIMITATIONS Sample is predominantly male and white. Generalizability to other populations may be limited. CONCLUSION Accelerated DNAm aging of the Wu clock in middle childhood is associated with anxiety, but not depression, symptoms in early adolescence. Further, this association may be the result of shared genetic and environmental influences. Accelerated DNAm aging may serve as an early risk factor or predictor of later anxiety symptoms.
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Affiliation(s)
- Sarah J Ingram
- Interdisciplinary Graduate Program in Genetics, Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America
| | - Alexandra Y Vazquez
- Department of Psychology, Michigan State University, United States of America
| | - Kelly L Klump
- Department of Psychology, Michigan State University, United States of America
| | - Luke W Hyde
- Department of Psychology, University of Michigan, United States of America
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, United States of America
| | - Shaunna L Clark
- Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America.
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3
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Suarez GL, Burt SA, Gard AM, Klump KL, Hyde LW. Exposure to community violence as a mechanism linking neighborhood disadvantage to amygdala reactivity and the protective role of parental nurturance. Dev Psychol 2024; 60:595-609. [PMID: 38386381 DOI: 10.1037/dev0001712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Emerging literature links neighborhood disadvantage to altered neural function in regions supporting socioemotional and threat processing. Few studies, however, have examined the proximal mechanisms through which neighborhood disadvantage is associated with neural functioning. In a sample of 7- to 19-year-old twins recruited from disadvantaged neighborhoods (354 families, 708 twins; 54.5% boys; 78.5% White, 13.0% Black, 8.5% other racial/ethnic group membership), we found that exposure to community violence was related to increased amygdala reactivity during socioemotional processing and may be one mechanism linking neighborhood disadvantage to amygdala functioning. Importantly, parenting behavior appeared to modulate these effects, such that high parental nurturance buffered the effect of exposure to community violence on amygdala reactivity. These findings elucidate the potential impact of exposure to community violence on brain function and highlight the role parents can play in protecting youth from the neural effects of exposure to adversity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Luke W Hyde
- Department of Psychology, University of Michigan
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4
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Hyde LW, Bezek JL, Michael C. The future of neuroscience in developmental psychopathology. Dev Psychopathol 2024:1-16. [PMID: 38444150 DOI: 10.1017/s0954579424000233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Developmental psychopathology started as an intersection of fields and is now a field itself. As we contemplate the future of this field, we consider the ways in which a newer, interdisciplinary field - human developmental neuroscience - can inform, and be informed by, developmental psychopathology. To do so, we outline principles of developmental psychopathology and how they are and/or can be implemented in developmental neuroscience. In turn, we highlight how the collaboration between these fields can lead to richer models and more impactful translation. In doing so, we describe the ways in which models from developmental psychopathology can enrich developmental neuroscience and future directions for developmental psychopathology.
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Affiliation(s)
- Luke W Hyde
- Department of Psychology, Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jessica L Bezek
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Cleanthis Michael
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
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5
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Carroll SL, Clark DA, Hyde LW, Klump KL, Burt SA. Correction to: Continuity and Change in the Genetic and Environmental Etiology of Youth Antisocial Behavior. Behav Genet 2024; 54:230. [PMID: 38165631 DOI: 10.1007/s10519-023-10175-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Affiliation(s)
- Sarah L Carroll
- Department of Psychology, Michigan State University, East Lansing, MI, 48824-1116, USA
| | - D Angus Clark
- Department of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology & Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, 48824-1116, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, 48824-1116, USA.
- Department of Psychology, Michigan State University, Room 107D Psychology Building, East Lansing, MI, 48824-1116, USA.
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6
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Vazquez AY, Shewark EA, Hyde LW, Klump KL, Burt SA. Parental Nurturance Moderates the Etiology of Youth Resilience. Behav Genet 2024; 54:137-149. [PMID: 37642790 PMCID: PMC10840741 DOI: 10.1007/s10519-023-10150-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/01/2023] [Indexed: 08/31/2023]
Abstract
Parenting behaviors are among the most robust predictors of youth resilience to adversity. Critically, however, very few studies examining these effects have been genetically-informed, and none have considered parenting as an etiologic moderator of resilience. What's more, despite the multidimensionality of resilience, extant etiologic literature has largely focused on a single domain. The current study sought to fill these respective gaps in the literature by examining whether and how parental nurturance shapes the etiology of academic, social, and psychological resilience, respectively. We employed a unique sample of twins (N = 426 pairs; ages 6-11) exposed to moderate-to-severe levels of environmental adversity (i.e., family poverty, neighborhood poverty, community violence) from the Twin Study of Behavioral and Emotional Development in Children. As expected, parental nurturance was positively correlated with all forms of resilience. Extended univariate genotype-by-environment interaction models revealed that parental nurturance significantly moderated genetic influences on all three domains of resilience (academic resilience A1= -0.53, psychological resilience A1= -1.22, social resilience A1= -0.63; all p < .05), such that as parental nurturance increased, genetic influences on youth resilience decreased. Put another way, children experiencing high levels of parental nurturance were more resilient to disadvantage, regardless of their genetic predisposition towards resilience. In the absence of nurturing parenting, however, genetic influences played an outsized role in the origins of resilience. Such findings indicate that parental nurturance may serve as a malleable protective factor that increases youth resilience regardless of genetic influences.
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Affiliation(s)
| | | | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA.
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7
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Guzman JM, Boone MH, Suarez GL, Mitchell C, Monk CS, Hyde LW, Lopez-Duran NL. Relationship between COVID-related stressors and internalizing symptoms: Gendered neuroendocrine risk profiles. Psychoneuroendocrinology 2024; 159:106668. [PMID: 37944209 DOI: 10.1016/j.psyneuen.2023.106668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023]
Abstract
The COVID-19 pandemic generated significant life stress and increases in internalizing disorders. Moreover, COVID-related stressors disproportionately impacted women, consistent with outcomes showing a gender gap in stress-related disorders. Gender-related stress vulnerability emerges in adolescence alongside gender-specific changes in neuroendocrine signaling. Most research on the neuroendocrinology of stress-related disorders has focused on differences in the hypothalamic-pituitary-adrenal (HPA) axis effector hormone cortisol. More recent studies, however, emphasize dehydroepiandrosterone (DHEA), a neuroprotective and neuroactive hormone released concurrently with cortisol that balances its biobehavioral actions during stress. Notably, women show lower cortisol responses and higher DHEA responses to stress. However, lower cortisol and higher DHEA are associated with internalizing disorders in women, while those associations are opposite in men. Thus, gender-specific factors perhaps result in a neuroendocrine profile that places women at greater risk for stress-related disorders. The current study prospectively examined socially evaluated cold-pressor task (SECPT) induced neuroendocrine responses at age 15 and internalizing symptoms during the COVID-19 pandemic at age 21 in a cohort of 175 primarily Black low-socioeconomic status participants, while controlling for internalizing symptoms at age 15. The association between COVID-related stress and internalizing symptoms was not stronger in women. Lower DHEA-cortisol ratios were associated with a weaker relationship between COVID-related stress and internalizing symptoms in women, while higher ratios were associated with a weaker relationship in men. These findings suggest gender differences in the relationship between DHEA and cortisol and internalizing outcomes during a stressful period, and support differential neuroendocrine protective and risk pathways for young men and women.
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Affiliation(s)
- Jose M Guzman
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Montana H Boone
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Gabriela L Suarez
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Colter Mitchell
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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8
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Suarez GL, Boone MH, Burt SA, Shewark EA, Mitchell C, Guzman P, Lopez-Duran NL, Klump KL, Monk CS, Hyde LW. Parent Mental Health Before and During the COVID-19 Pandemic. Child Psychiatry Hum Dev 2023:10.1007/s10578-023-01642-6. [PMID: 38141151 DOI: 10.1007/s10578-023-01642-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/14/2023] [Indexed: 12/24/2023]
Abstract
Although extant cross-sectional data suggest that parents have experienced numerous challenges (e.g., homeschooling, caregiver burden) and mental health consequences during the COVID-19 pandemic, longitudinal data are needed to confirm mental health changes relative to pre-pandemic levels and identify which specific pandemic-related changes most highly predict mental health during the pandemic. In two longitudinal subsamples (N = 299 and N = 175), we assessed change in anxiety, depression, and stress before and during the pandemic and whether the accumulation of pandemic-related changes predicted observed mental health changes. On average, parents reported increased depression and anxiety, but no significant changes in reported stress. Moreover, increased interpersonal conflict, difficulty managing work and caregiving responsibilities, and increased economic challenges were the types of pandemic-related changes that most strongly predicted worse mental health, highlighting that juggling caregiving responsibilities and economic concerns, along with the pandemic's impact on interpersonal family relationships are key predictors of worsening parental mental illness symptoms.
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Affiliation(s)
- Gabriela L Suarez
- Department of Psychology, The University of Michigan, Ann Arbor, MI, USA
| | - Montana H Boone
- Department of Psychology, The University of Michigan, Ann Arbor, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | | | - Colter Mitchell
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Paula Guzman
- Department of Psychology, The University of Michigan, Ann Arbor, MI, USA
| | | | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Christopher S Monk
- Department of Psychology, The University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology, The University of Michigan, Ann Arbor, MI, USA.
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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9
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Michael C, Tillem S, Sripada CS, Burt SA, Klump KL, Hyde LW. Neighborhood poverty during childhood prospectively predicts adolescent functional brain network architecture. Dev Cogn Neurosci 2023; 64:101316. [PMID: 37857040 PMCID: PMC10587714 DOI: 10.1016/j.dcn.2023.101316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/14/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023] Open
Abstract
Family poverty has been associated with altered brain structure, function, and connectivity in youth. However, few studies have examined how disadvantage within the broader neighborhood may influence functional brain network organization. The present study leveraged a longitudinal community sample of 538 twins living in low-income neighborhoods to evaluate the prospective association between exposure to neighborhood poverty during childhood (6-10 y) with functional network architecture during adolescence (8-19 y). Using resting-state and task-based fMRI, we generated two latent measures that captured intrinsic brain organization across the whole-brain and network levels - network segregation and network segregation-integration balance. While age was positively associated with network segregation and network balance overall across the sample, these associations were moderated by exposure to neighborhood poverty. Specifically, these positive associations were observed only in youth from more, but not less, disadvantaged neighborhoods. Moreover, greater exposure to neighborhood poverty predicted reduced network segregation and network balance in early, but not middle or late, adolescence. These effects were detected both across the whole-brain system as well as specific functional networks, including fronto-parietal, default mode, salience, and subcortical systems. These findings indicate that where children live may exert long-reaching effects on the organization and development of the adolescent brain.
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Affiliation(s)
- Cleanthis Michael
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Scott Tillem
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Chandra S Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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10
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Michael C, Taxali A, Angstadt M, Kardan O, Weigard A, Molloy MF, McCurry KL, Hyde LW, Heitzeg MM, Sripada C. Socioeconomic resources in youth are linked to divergent patterns of network integration and segregation across the brain's transmodal axis. bioRxiv 2023:2023.11.08.565517. [PMID: 38014302 PMCID: PMC10680554 DOI: 10.1101/2023.11.08.565517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Socioeconomic resources (SER) calibrate the developing brain to the current context, which can confer or attenuate risk for psychopathology across the lifespan. Recent multivariate work indicates that SER levels powerfully influence intrinsic functional connectivity patterns across the entire brain. Nevertheless, the neurobiological meaning of these widespread alterations remains poorly understood, despite its translational promise for early risk identification, targeted intervention, and policy reform. In the present study, we leverage the resources of graph theory to precisely characterize multivariate and univariate associations between household SER and the functional integration and segregation (i.e., participation coefficient, within-module degree) of brain regions across major cognitive, affective, and sensorimotor systems during the resting state in 5,821 youth (ages 9-10 years) from the Adolescent Brain Cognitive Development (ABCD) Study. First, we establish that decomposing the brain into profiles of integration and segregation captures more than half of the multivariate association between SER and functional connectivity with greater parsimony (100-fold reduction in number of features) and interpretability. Second, we show that the topological effects of SER are not uniform across the brain; rather, higher SER levels are related to greater integration of somatomotor and subcortical systems, but greater segregation of default mode, orbitofrontal, and cerebellar systems. Finally, we demonstrate that the effects of SER are spatially patterned along the unimodal-transmodal gradient of brain organization. These findings provide critical interpretive context for the established and widespread effects of SER on brain organization, indicating that SER levels differentially configure the intrinsic functional architecture of developing unimodal and transmodal systems. This study highlights both sensorimotor and higher-order networks that may serve as neural markers of environmental stress and opportunity, and which may guide efforts to scaffold healthy neurobehavioral development among disadvantaged communities of youth.
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11
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Goetschius LG, McLoyd VC, Hein TC, Mitchell C, Hyde LW, Monk CS. School connectedness as a protective factor against childhood exposure to violence and social deprivation: A longitudinal study of adaptive and maladaptive outcomes. Dev Psychopathol 2023; 35:1219-1234. [PMID: 34779377 PMCID: PMC10037103 DOI: 10.1017/s0954579421001140] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
School connectedness, a construct indexing supportive school relationships, has been posited to promote resilience to environmental adversity. Consistent with prominent calls in the field, we examined the protective nature of school connectedness against two dimensions of early adversity that index multiple levels of environmental exposure (violence exposure, social deprivation) when predicting both positive and negative outcomes in longitudinal data from 3,246 youth in the Fragile Families and Child Wellbeing Study (48% female, 49% African American). Child and adolescent school connectedness were promotive, even when accounting for the detrimental effects of early adversity. Additionally, childhood school connectedness had a protective but reactive association with social deprivation, but not violence exposure, when predicting externalizing symptoms and positive function. Specifically, school connectedness was protective against the negative effects of social deprivation, but the effect diminished as social deprivation became more extreme. These results suggest that social relationships at school may compensate for low levels of social support in the home and neighborhood. Our results highlight the important role that the school environment can play for youth who have been exposed to adversity in other areas of their lives and suggest specific groups that may especially benefit from interventions that boost school connectedness.
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Affiliation(s)
| | | | - Tyler C. Hein
- Serious Mental Illness Treatment Resource and Evaluation Center, Office of Mental Health and Suicide Prevention, Department of Veterans Affairs
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI
- Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Christopher S. Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
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12
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Tillem S, Dotterer HL, Goetschius LG, Lopez-Duran N, Mitchell C, Monk CS, Hyde LW. Antisocial behavior is associated with reduced frontoparietal network efficiency in youth. Soc Cogn Affect Neurosci 2023; 18:nsad026. [PMID: 37148314 PMCID: PMC10275549 DOI: 10.1093/scan/nsad026] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 04/25/2023] [Accepted: 05/05/2023] [Indexed: 05/08/2023] Open
Abstract
Youth antisocial behavior (AB) is associated with deficits in socioemotional processing, reward and threat processing and executive functioning. These deficits are thought to emerge from differences in neural structure, functioning and connectivity, particularly within the default, salience and frontoparietal networks. However, the relationship between AB and the organization of these networks remains unclear. To address this gap, the current study applied unweighted, undirected graph analyses to resting-state functional magnetic resonance imaging data in a cohort of 161 adolescents (95 female) enriched for exposure to poverty, a risk factor for AB. As prior work indicates that callous-unemotional (CU) traits may moderate the neurocognitive profile of youth AB, we examined CU traits as a moderator. Using multi-informant latent factors, AB was found to be associated with less efficient frontoparietal network topology, a network associated with executive functioning. However, this effect was limited to youth at low or mean levels of CU traits, indicating that these neural differences were specific to those high on AB but not CU traits. Neither AB, CU traits nor their interaction was significantly related to default or salience network topologies. Results suggest that AB, specifically, may be linked with shifts in the architecture of the frontoparietal network.
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Affiliation(s)
- Scott Tillem
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hailey L Dotterer
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Leigh G Goetschius
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Nestor Lopez-Duran
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Colter Mitchell
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
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13
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Hardi FA, Goetschius LG, Tillem S, McLoyd V, Brooks-Gunn J, Boone M, Lopez-Duran N, Mitchell C, Hyde LW, Monk CS. Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study. Dev Cogn Neurosci 2023; 61:101253. [PMID: 37182338 PMCID: PMC10200816 DOI: 10.1016/j.dcn.2023.101253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/28/2023] [Accepted: 05/09/2023] [Indexed: 05/16/2023] Open
Abstract
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.
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Affiliation(s)
- Felicia A Hardi
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Leigh G Goetschius
- The Hilltop Institute, University of Maryland, Baltimore County, Baltimore, MD, United States of America
| | - Scott Tillem
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Vonnie McLoyd
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Jeanne Brooks-Gunn
- Teachers College, Columbia University, New York, NY, United States of America; College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Montana Boone
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Nestor Lopez-Duran
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Colter Mitchell
- Survey 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 America
| | - Luke W Hyde
- Department 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
| | - Christopher S Monk
- Department 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.
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Hardi FA, Goetschius LG, McLoyd V, Lopez‐Duran NL, Mitchell C, Hyde LW, Beltz AM, Monk CS. Adolescent functional network connectivity prospectively predicts adult anxiety symptoms related to perceived COVID-19 economic adversity. J Child Psychol Psychiatry 2023; 64:918-929. [PMID: 36579796 PMCID: PMC9880614 DOI: 10.1111/jcpp.13749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/10/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Stressful events, such as the COVID-19 pandemic, are major contributors to anxiety and depression, but only a subset of individuals develop psychopathology. In a population-based sample (N = 174) with a high representation of marginalized individuals, this study examined adolescent functional network connectivity as a marker of susceptibility to anxiety and depression in the context of adverse experiences. METHODS Data-driven network-based subgroups were identified using an unsupervised community detection algorithm within functional neural connectivity. Neuroimaging data collected during emotion processing (age 15) were extracted from a priori regions of interest linked to anxiety and depression. Symptoms were self-reported at ages 15, 17, and 21 (during COVID-19). During COVID-19, participants reported on pandemic-related economic adversity. Differences across subgroup networks were first examined, then subgroup membership and subgroup-adversity interaction were tested to predict change in symptoms over time. RESULTS Two subgroups were identified: Subgroup A, characterized by relatively greater neural network variation (i.e., heterogeneity) and density with more connections involving the amygdala, subgenual cingulate, and ventral striatum; and the more homogenous Subgroup B, with more connections involving the insula and dorsal anterior cingulate. Accounting for initial symptoms, subgroup A individuals had greater increases in symptoms across time (β = .138, p = .042), and this result remained after adjusting for additional covariates (β = .194, p = .023). Furthermore, there was a subgroup-adversity interaction: compared with Subgroup B, Subgroup A reported greater anxiety during the pandemic in response to reported economic adversity (β = .307, p = .006), and this remained after accounting for initial symptoms and many covariates (β = .237, p = .021). CONCLUSIONS A subgrouping algorithm identified young adults who were susceptible to adversity using their personalized functional network profiles derived from a priori brain regions. These results highlight potential prospective neural signatures involving heterogeneous emotion networks that predict individuals at the greatest risk for anxiety when experiencing adverse events.
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Affiliation(s)
| | | | - Vonnie McLoyd
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
| | | | - Colter Mitchell
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
- Population Studies Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Luke W. Hyde
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | | | - Christopher S. Monk
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
- Neuroscience Graduate Program University of MichiganAnn ArborMIUSA
- Department of PsychiatryUniversity of MichiganAnn ArborMIUSA
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15
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Murray L, Lopez-Duran NL, Mitchell C, Monk CS, Hyde LW. Antisocial behavior is associated with reduced frontoparietal activity to loss in a population-based sample of adolescents. Psychol Med 2023; 53:3652-3660. [PMID: 35172913 PMCID: PMC9381639 DOI: 10.1017/s0033291722000307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 01/12/2022] [Accepted: 01/23/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Adolescent antisocial behavior (AB) is a public health concern due to the high financial and social costs of AB on victims and perpetrators. Neural systems involved in reward and loss processing are thought to contribute to AB. However, investigations into these processes are limited: few have considered anticipatory and consummatory components of reward, response to loss, nor whether associations with AB may vary by level of callous-unemotional (CU) traits. METHODS A population-based community sample of 128 predominantly low-income youth (mean age = 15.9 years; 42% male) completed a monetary incentive delay task during fMRI. A multi-informant, multi-method latent variable approach was used to test associations between AB and neural response to reward and loss anticipation and outcome and whether CU traits moderated these associations. RESULTS AB was not associated with neural response to reward but was associated with reduced frontoparietal activity during loss outcomes. This association was moderated by CU traits such that individuals with higher levels of AB and CU traits had the largest reductions in frontoparietal activity. Co-occurring AB and CU traits were also associated with increased precuneus response during loss anticipation. CONCLUSIONS Findings indicate that AB is associated with reduced activity in brain regions involved in cognitive control, attention, and behavior modification during negative outcomes. Moreover, these reductions are most pronounced in youth with co-occurring CU traits. These findings have implications for understanding why adolescents involved in AB continue these behaviors despite severe negative consequences (e.g. incarceration).
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Affiliation(s)
- Laura Murray
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | - Colter Mitchell
- Survey Research Center of the Institute for Social Research & Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Christopher S. Monk
- Department of Psychology, Survey Research Center of the Institute for Social Research & Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luke W. Hyde
- Department of Psychology & Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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16
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Dotterer HL, Vazquez AY, Hyde LW, Neumann CS, Santtila P, Pezzoli P, Johansson A, Burt SA. Elucidating the role of negative parenting in the genetic v. environmental influences on adult psychopathic traits. Psychol Med 2023; 53:897-907. [PMID: 37132644 PMCID: PMC9976022 DOI: 10.1017/s0033291721002269] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 03/23/2021] [Accepted: 05/21/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Psychopathic traits involve interpersonal manipulation, callous affect, erratic lifestyle, and antisocial behavior. Though adult psychopathic traits emerge from both genetic and environmental risk, no studies have examined etiologic associations between adult psychopathic traits and experiences of parenting in childhood, or the extent to which parenting practices may impact the heritability of adult psychopathic traits using a genetically-informed design. METHODS In total, 1842 adult twins from the community reported their current psychopathic traits and experiences of negative parenting during childhood. We fit bivariate genetic models to the data, decomposing the variance within, and the covariance between, psychopathic traits and perceived negative parenting into their genetic and environmental components. We then fit a genotype × environment interaction model to evaluate whether negative parenting moderated the etiology of psychopathic traits. RESULTS Psychopathic traits were moderately heritable with substantial non-shared environmental influences. There were significant associations between perceived negative parenting and three of four psychopathy facets (interpersonal manipulation, erratic lifestyle, antisocial tendencies, but not callous affect). These associations were attributable to a common non-shared environmental pathway and not to overlapping genetic effects. Additionally, we found that primarily shared environmental influences were stronger on psychopathic traits for individuals with a history of greater negative parenting. CONCLUSIONS Utilizing a genetically-informed design, we found that both genetic and non-shared environmental factors contribute to the emergence of psychopathic traits. Moreover, perceptions of negative parenting emerged as a clear environmental influence on the development of interpersonal, lifestyle, and antisocial features of psychopathy.
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Affiliation(s)
| | | | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Craig S. Neumann
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Pekka Santtila
- NYU-ECNU Institute for Social Development, NYU Shanghai, Shanghai, China
| | - Patrizia Pezzoli
- Institute of Mental Health Research, University of Ottawa, Ontario, CA, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Ada Johansson
- Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Turku, Finland
| | - S. Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
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17
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Gard AM, Hyde LW, Heeringa SG, West BT, Mitchell C. Why weight? Analytic approaches for large-scale population neuroscience data. Dev Cogn Neurosci 2023; 59:101196. [PMID: 36630774 PMCID: PMC9843279 DOI: 10.1016/j.dcn.2023.101196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023] Open
Abstract
Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly.
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Affiliation(s)
- Arianna M Gard
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Department of Psychology, Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, MD, USA.
| | - Luke W Hyde
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Steven G Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Brady T West
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Colter Mitchell
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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18
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Sripada C, Gard AM, Angstadt M, Taxali A, Greathouse T, McCurry K, Hyde LW, Weigard A, Walczyk P, Heitzeg M. Socioeconomic resources are associated with distributed alterations of the brain's intrinsic functional architecture in youth. Dev Cogn Neurosci 2022; 58:101164. [PMID: 36274574 PMCID: PMC9589163 DOI: 10.1016/j.dcn.2022.101164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/25/2022] [Accepted: 10/14/2022] [Indexed: 01/26/2023] Open
Abstract
Little is known about how exposure to limited socioeconomic resources (SER) in childhood gets "under the skin" to shape brain development, especially using rigorous whole-brain multivariate methods in large, adequately powered samples. The present study examined resting state functional connectivity patterns from 5821 youth in the Adolescent Brain Cognitive Development (ABCD) study, employing multivariate methods across three levels: whole-brain, network-wise, and connection-wise. Across all three levels, SER was associated with widespread alterations across the connectome. However, critically, we found that parental education was the primary driver of neural associations with SER. These parental education associations with the developing connectome exhibited notable concentrations in somatosensory and subcortical regions, and they were partially accounted for by home enrichment activities, child's cognitive abilities, and child's grades, indicating interwoven links between parental education, child stimulation, and child cognitive performance. These results add a new data-driven, multivariate perspective on links between household SER and the child's developing functional connectome.
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Affiliation(s)
- Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, USA.
| | - Arianna M Gard
- Department of Psychology and Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, USA
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
| | - Aman Taxali
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
| | | | | | - Luke W Hyde
- Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, USA
| | | | - Peter Walczyk
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
| | - Mary Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
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19
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Winters DE, Hyde LW. Associated functional network connectivity between callous-unemotionality and cognitive and affective empathy. J Affect Disord 2022; 318:304-313. [PMID: 36063973 PMCID: PMC10039983 DOI: 10.1016/j.jad.2022.08.103] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 05/21/2022] [Accepted: 08/26/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Low empathy is one component of affective impairments defining the antisocial youth phenotype callous-unemotional (CU) traits. Research suggests CU traits may be negatively associated with neural networks that are positively associated with cognitive and affective empathy - specifically the default mode (DMN), frontoparietal (FPN), and salience (SAL) networks. Determining which functional network connections are shared between CU traits and empathy could elucidate the extent to which CU traits shares neural substrates with cognitive versus affective empathy. The present study tested whether CU traits and both cognitive and affective empathy share network connections within and between the DMN, FPN, and SAL. METHODS Participants (n = 112, aged 13-17, 43 % female) completed resting-state functional magnetic resonance imaging and self-reports for CU traits and empathy as part of a Nathan-Kline Institute study. RESULTS Analyses revealed inverse associations with shared network connections between CU traits and both cognitive and affective empathy. Specifically, within-DMN connectivity negatively associated with CU traits, but positively associated with cognitive empathy; and between DMN-SAL connectivity positively associated with CU traits, but negatively associated with both cognitive and affective empathy. However, joint models revealed little variance explained by CU traits and empathy overlapped. LIMITATIONS The sample was cross-sectional collection with limited participants (n = 112) from the community that may not generalize to incarcerated adolescents. CONCLUSIONS Results demonstrate CU traits inversely associated with similar connectivity patterns as cognitive and affective empathy though prediction among constructs did not significantly overlap. Further investigation of these connections can inform a mechanistic understanding of empathy impairments in CU traits.
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Affiliation(s)
- Drew E Winters
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States of America.
| | - Luke W Hyde
- Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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20
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Hyde LW, Dotterer HL. The Nature and Nurture of Callous-Unemotional Traits. Curr Dir Psychol Sci 2022. [DOI: 10.1177/09637214221121302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Callous-unemotional (CU) traits, a risk factor for psychopathy, delineate youths with relatively low empathy and guilt, and identify youths with high risk for chronic and severe antisocial behavior (e.g., rule breaking, aggression). We describe work identifying nature and nurture influences on the development of CU traits. Additionally, we clarify the relationship between CU traits and psychopathy, highlight potential misinterpretations of findings on influences of “nature” versus “nurture,” and discuss treatment implications.
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Affiliation(s)
- Luke W. Hyde
- Department of Psychology, University of Michigan
- Survey Research Center at the Institute for Social Research, University of Michigan
| | - Hailey L. Dotterer
- Department of Psychology, University of Michigan
- Department of Psychiatry, School of Medicine, Johns Hopkins University
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21
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Roberts AG, Peckins MK, Gard AM, Hein TC, Hardi FA, Mitchell C, Monk CS, Hyde LW, Lopez-Duran NL. Amygdala reactivity during socioemotional processing and cortisol reactivity to a psychosocial stressor. Psychoneuroendocrinology 2022; 144:105855. [PMID: 35835021 PMCID: PMC10485794 DOI: 10.1016/j.psyneuen.2022.105855] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 05/18/2022] [Accepted: 06/26/2022] [Indexed: 10/17/2022]
Abstract
Threat-related amygdala reactivity and the activation of the Hypothalamic-Pituitary-Adrenal (HPA) axis have been linked to negative psychiatric outcomes. The amygdala and HPA axis have bidirectional connections, suggesting that functional variation in one system may influence the other. However, research on the functional associations between these systems has demonstrated mixed findings, potentially due to small sample sizes and cortisol sampling and data analytic procedures that investigate only pre-post differences in cortisol rather than the specific phases of the cortisol stress response. Further, previous research has primarily utilized samples of adults of mostly European descent, limiting generalizability to those of other ethnoracial identities and ages. Therefore, studies addressing these limitations are needed in order to investigate the functional relations between amygdala reactivity to threat and HPA axis stress responsivity. Using a sample of 159 adolescents from a diverse cohort (75% African American, ages 15-17 years), the present study evaluated associations between amygdala reactivity during socioemotional processing using fMRI and HPA axis reactivity to a socially-evaluative cold pressor task. Greater amygdala activation to fearful and neutral faces was associated with greater cortisol peak values and steeper activation slope. As cortisol peak values and cortisol activation slope capture the intensity of the cortisol stress response, these data suggest that greater activation of the amygdala in response to social distress and ambiguity among adolescents may be related to hyper-reactivity of the HPA axis.
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Affiliation(s)
- Andrea G Roberts
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Pritzker Department of Psychiatry and Behavioral Health, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | | | - Arianna M Gard
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Department of Psychology and Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, MD, USA
| | - Tyler C Hein
- TRAILS to Wellness, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Felicia A Hardi
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Colter Mitchell
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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22
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Brislin SJ, Martz ME, Joshi S, Duval ER, Gard A, Clark DA, Hyde LW, Hicks BM, Taxali A, Angstadt M, Rutherford S, Heitzeg MM, Sripada C. Differentiated nomological networks of internalizing, externalizing, and the general factor of psychopathology (' p factor') in emerging adolescence in the ABCD study. Psychol Med 2022; 52:3051-3061. [PMID: 33441214 PMCID: PMC9693677 DOI: 10.1017/s0033291720005103] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/04/2020] [Accepted: 12/03/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND Structural models of psychopathology consistently identify internalizing (INT) and externalizing (EXT) specific factors as well as a superordinate factor that captures their shared variance, the p factor. Questions remain, however, about the meaning of these data-driven dimensions and the interpretability and distinguishability of the larger nomological networks in which they are embedded. METHODS The sample consisted of 10 645 youth aged 9-10 years participating in the multisite Adolescent Brain and Cognitive Development (ABCD) Study. p, INT, and EXT were modeled using the parent-rated Child Behavior Checklist (CBCL). Patterns of associations were examined with variables drawn from diverse domains including demographics, psychopathology, temperament, family history of substance use and psychopathology, school and family environment, and cognitive ability, using instruments based on youth-, parent-, and teacher-report, and behavioral task performance. RESULTS p exhibited a broad pattern of statistically significant associations with risk variables across all domains assessed, including temperament, neurocognition, and social adversity. The specific factors exhibited more domain-specific patterns of associations, with INT exhibiting greater fear/distress and EXT exhibiting greater impulsivity. CONCLUSIONS In this largest study of hierarchical models of psychopathology to date, we found that p, INT, and EXT exhibit well-differentiated nomological networks that are interpretable in terms of neurocognition, impulsivity, fear/distress, and social adversity. These networks were, in contrast, obscured when relying on the a priori Internalizing and Externalizing dimensions of the CBCL scales. Our findings add to the evidence for the validity of p, INT, and EXT as theoretically and empirically meaningful broad psychopathology liabilities.
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Affiliation(s)
- Sarah J. Brislin
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Meghan E. Martz
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Sonalee Joshi
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Elizabeth R. Duval
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Arianna Gard
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - D. Angus Clark
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Luke W. Hyde
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Brian M. Hicks
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Aman Taxali
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Saige Rutherford
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Mary M. Heitzeg
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Chandra Sripada
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
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Tomlinson RC, Hyde LW, Weigard AS, Klump KL, Burt SA. The role of parenting in the intergenerational transmission of executive functioning: A genetically informed approach. Dev Psychopathol 2022; 34:1-13. [PMID: 35957575 PMCID: PMC9922338 DOI: 10.1017/s0954579422000645] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Deficits in executive functioning both run in families and serve as a transdiagnostic risk factor for psychopathology. The present study employed twin modeling to examine parenting as an environmental pathway underlying the intergenerational transmission of executive functioning in an at-risk community sample of children and adolescents (N = 354 pairs, 167 monozygotic). Using structural equation modeling of multi-informant reports of parenting and a multi-method measure of child executive functioning, we found that better parent executive functioning related to less harsh, warmer parenting, which in turn related to better child executive functioning. Second, we assessed the etiology of executive functioning via the nuclear twin family model, finding large non-shared environmental effects (E = .69) and low-to-moderate heritability (A = .22). We did not find evidence of shared environmental effects or passive genotype-environment correlation. Third, a bivariate twin model revealed significant shared environmental overlap between both warm and harsh parenting and child executive functioning (which may indicate either passive genotype-environment correlation or environmental mediation), and non-shared environmental overlap between only harsh parenting and child executive functioning (indicating an effect of harsh parenting separable from genetic confounds). In summary, genetics contribute to the intergenerational transmission of executive functioning, with environmental mechanisms, including harsh parenting, also making unique contributions.
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Affiliation(s)
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | | | - Kelly L. Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S. Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
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Tomlinson RC, Hyde LW, Dotterer HL, Klump KL, Burt SA. Parenting moderates the etiology of callous-unemotional traits in middle childhood. J Child Psychol Psychiatry 2022; 63:912-920. [PMID: 34796486 PMCID: PMC10049759 DOI: 10.1111/jcpp.13542] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/17/2021] [Indexed: 01/27/2023]
Abstract
BACKGROUND Callous-unemotional (CU) traits are associated with chronic and escalating trajectories of antisocial behavior. Extant etiologic studies suggest that heritability estimates for CU traits vary substantially, while also pointing to an environmental association between parenting and CU traits. METHODS We used twin modeling to estimate additive genetic (A), shared environmental (C), and nonshared environmental (E) influences on CU traits, measured with the Inventory of Callous-Unemotional Traits (ICU) and its subscales. Our sample included 600 twin pairs (age 6-11, 230 monozygotic) from neighborhoods with above-average levels of family poverty, a risk factor for antisocial behavior. We examined the extent to which correlations between parenting, measured via parent and child report on the Parental Environment Questionnaire, and CU traits reflected genetic versus environmental factors. Then, we tested whether parenting moderated the heritability of CU traits. RESULTS In the context of lower-income neighborhoods, CU traits were moderately to highly heritable (A = 54%) with similar moderate-to-high nonshared environmental influences (E = 46%). Bivariate models revealed that associations between CU traits and warm parenting were genetic (rA = .22) and environmental (rE = .19) in origin, whereas associations between CU traits and harsh parenting were largely genetic in origin (rA = .70). The heritability of CU traits decreased with increasing parental warmth and decreasing harshness. CONCLUSIONS Callous-unemotional traits are both genetic and environmental in origin during middle childhood, but genetic influences are moderated by parenting quality. Parenting may be an important target for interventions, particularly among youth with greater genetic risk.
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Affiliation(s)
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | | | - Kelly L. Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S. Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
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Gard AM, Hein TC, Mitchell C, Brooks-Gunn J, McLanahan SS, Monk CS, Hyde LW. Prospective longitudinal associations between harsh parenting and corticolimbic function during adolescence. Dev Psychopathol 2022; 34:981-996. [PMID: 33487207 PMCID: PMC8310533 DOI: 10.1017/s0954579420001583] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Childhood adversity is thought to undermine youth socioemotional development via altered neural function within regions that support emotion processing. These effects are hypothesized to be developmentally specific, with adversity in early childhood sculpting subcortical structures (e.g., amygdala) and adversity during adolescence impacting later-developing structures (e.g., prefrontal cortex; PFC). However, little work has tested these theories directly in humans. Using prospectively collected longitudinal data from the Fragile Families and Child Wellbeing Study (FFCWS) (N = 4,144) and neuroimaging data from a subsample of families recruited in adolescence (N = 162), the current study investigated the trajectory of harsh parenting across childhood (i.e., ages 3 to 9) and how initial levels versus changes in harsh parenting across childhood were associated with corticolimbic activation and connectivity during socioemotional processing. Harsh parenting in early childhood (indexed by the intercept term from a linear growth curve model) was associated with less amygdala, but not PFC, reactivity to angry facial expressions. In contrast, change in harsh parenting across childhood (indexed by the slope term) was associated with less PFC, but not amygdala, activation to angry faces. Increases in, but not initial levels of, harsh parenting were also associated with stronger positive amygdala-PFC connectivity during angry face processing.
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Affiliation(s)
- Arianna M. Gard
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Tyler C. Hein
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Serious Mental Illness Treatment Resource Evaluation Center, Office of Mental Health and Suicide Prevention, Department of Veterans Affairs, Ann Arbor, MI, USA
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jeanne Brooks-Gunn
- Teachers College and the College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Columbia Population Research Center, Columbia University, New York, NY, USA
| | - Sarah S. McLanahan
- Department of Sociology and Public Affairs, Princeton University, Princeton, NJ, USA
- Center for Research on Child Wellbeing, Princeton University, Princeton, NJ, USA
- Office of Population Research, Princeton University, Princeton, NJ, USA
| | - Christopher S. Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
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Gard AM, Brooks-Gunn J, McLanahan SS, Mitchell C, Monk CS, Hyde LW. Deadly gun violence, neighborhood collective efficacy, and adolescent neurobehavioral outcomes. PNAS Nexus 2022; 1:pgac061. [PMID: 35837024 PMCID: PMC9272173 DOI: 10.1093/pnasnexus/pgac061] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 07/05/2022] [Indexed: 02/06/2023]
Abstract
Gun violence is a major public health problem and costs the United States $280 billion annually (1). Although adolescents are disproportionately impacted (e.g. premature death), we know little about how close adolescents live to deadly gun violence incidents and whether such proximity impacts their socioemotional development (2, 3). Moreover, gun violence is likely to shape youth developmental outcomes through biological processes-including functional connectivity within regions of the brain that support emotion processing, salience detection, and physiological stress responses-though little work has examined this hypothesis. Lastly, it is unclear if strong neighborhood social ties can buffer youth from the neurobehavioral effects of gun violence. Within a nationwide birth cohort of 3,444 youth (56% Black, 24% Hispanic) born in large US cities, every additional deadly gun violence incident that occurred within 500 meters of home in the prior year was associated with an increase in behavioral problems by 9.6%, even after accounting for area-level crime and socioeconomic resources. Incidents that occurred closer to a child's home exerted larger effects, and stronger neighborhood social ties offset these associations. In a neuroimaging subsample (N = 164) of the larger cohort, living near more incidents of gun violence and reporting weaker neighborhood social ties were associated with weaker amygdala-prefrontal functional connectivity during socioemotional processing, a pattern previously linked to less effective emotion regulation. Results provide spatially sensitive evidence for gun violence effects on adolescent behavior, a potential mechanism through which risk is biologically embedded, and ways in which positive community factors offset ecological risk.
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Affiliation(s)
- Arianna M Gard
- Department of Psychology, Program in Neuroscience and Cognitive Neuroscience, University of Maryland, College Park, MD 20742, USA
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jeanne Brooks-Gunn
- Teachers College and the College of Physicians and Surgeons, Columbia University, New York, NY 10027, USA
| | - Sara S McLanahan
- Department of Sociology and Public Affairs, Center for Research on Child Wellbeing, and Office of Population Research, Princeton University, Princeton, NJ 08544, USA
| | - Colter Mitchell
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christopher S Monk
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Luke W Hyde
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
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Affiliation(s)
- Luke W. Hyde
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
| | - Arianna M. Gard
- University of Maryland Department of Psychology College Park Maryland USA
| | - Rachel C. Tomlinson
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
| | - Gabriela L. Suarez
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
| | - Heidi E. Westerman
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
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Suarez GL, Burt SA, Gard AM, Burton J, Clark DA, Klump KL, Hyde LW. The impact of neighborhood disadvantage on amygdala reactivity: Pathways through neighborhood social processes. Dev Cogn Neurosci 2022; 54:101061. [PMID: 35042163 PMCID: PMC8777301 DOI: 10.1016/j.dcn.2022.101061] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/21/2021] [Accepted: 01/11/2022] [Indexed: 11/23/2022] Open
Abstract
Youth growing up in disadvantaged neighborhoods are more likely than their advantaged peers to face negative behavioral and mental health outcomes. Although studies have shown that adversity can undermine positive development via its impact on the developing brain, few studies have examined the association between neighborhood disadvantage and neural function, and no study has investigated potential social mechanisms within the neighborhood that might link neighborhood disadvantage to altered neural function. The current study evaluated the association between neighborhood disadvantage and amygdala reactivity during socioemotional face processing. We also assessed whether and which neighborhood-level social processes were related to amygdala reactivity, and whether these social processes mediated or moderated the association between neighborhood disadvantage and altered amygdala reactivity. We examined these aims in a registered report, using a sample of twins aged 7-19 years (N = 354 families, 708 twins) recruited from birth records with enrichment for neighborhood disadvantage. Twins completed a socioemotional face processing fMRI task and a sample of unrelated participants from the twins' neighborhoods were also recruited to serve as informants on neighborhood social processes. We found that neighborhood disadvantage was associated with greater right amygdala reactivity to threat, but only when neighborhood informants perceived norms in the neighborhood to be more permissive regarding general safety and management. The findings from this research add to the growing literature highlighting the influence of neighborhood disadvantage on amygdala function and the ways that supportive social processes may buffer the impact of adversity on brain function.
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Affiliation(s)
- Gabriela L Suarez
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Arianna M Gard
- Department of Psychology, Program in Neuroscience and Cognitive Neuroscience, The University of Maryland, College Park, MD 20742, USA
| | - Jared Burton
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA
| | - D Angus Clark
- Department of Psychiatry, The University of Michigan, Ann Arbor, MI 48104, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Luke W Hyde
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center at the Institute for Social Research, The University of Michigan, Ann Arbor, MI 48104, USA.
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Calabrese JR, Goetschius LG, Murray L, Kaplan MR, Lopez-Duran N, Mitchell C, Hyde LW, Monk CS. Mapping frontostriatal white matter tracts and their association with reward-related ventral striatum activation in adolescence. Brain Res 2022; 1780:147803. [PMID: 35090884 DOI: 10.1016/j.brainres.2022.147803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 01/17/2022] [Accepted: 01/21/2022] [Indexed: 11/21/2022]
Abstract
The ventral striatum (VS) is implicated in reward processing and motivation. Human and non-human primate studies demonstrate that the VS and prefrontal cortex (PFC), which comprise the frontostriatal circuit, interact to influence motivated behavior. However, there is a lack of research that precisely maps and quantifies VS-PFC white matter tracts. Moreover, no studies have linked frontostriatal white matter to VS activation. Using a multimodal neuroimaging approach with diffusion MRI (dMRI) and functional MRI (fMRI), the present study had two objectives: 1) to chart white matter tracts between the VS and specific PFC structures and 2) assess the association between the degree of VS-PFC white matter tract connectivity and VS activation in 187 adolescents. White matter connectivity was assessed with probabilistic tractography and functional activation was examined with two fMRI tasks (one task with social reward and another task using monetary reward). We found widespread but variable white matter connectivity between the VS and areas of the PFC, with the anterior insula and subgenual cingulate cortex demonstrating the greatest degree of connectivity with the VS. VS-PFC structural connectivity was related to functional activation in the VS though activation depended on the specific PFC region and reward task.
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Affiliation(s)
| | | | - Laura Murray
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Megan R Kaplan
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | | | - Colter Mitchell
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
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30
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Vazquez AY, Shewark EA, Clark DA, Klump KL, Hyde LW, Burt SA. The Etiology of Resilience to Disadvantage. JCPP Adv 2022; 1. [PMID: 35253004 DOI: 10.1002/jcv2.12033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Background Although early-life exposure to chronic disadvantage is associated with deleterious outcomes, 40-60% of exposed youth continue to thrive. To date, little is known about the etiology of these resilient outcomes. Methods The current study examined child twin families living in disadvantaged contexts (N=417 pairs) to elucidate the etiology of resilience. We evaluated maternal reports of the Child Behavior Checklist to examine three domains of resilience and general resilience. Results Genetic, shared, and nonshared environmental influences significantly contributed to social resilience (22%, 61%, 17%, respectively) and psychiatric resilience (40%, 28%, 32%, respectively), but academic resilience was influenced only by genetic and nonshared environmental influences (65% and 35%, respectively). These three domains loaded significantly onto a latent resilience factor, with factor loadings ranging from .60 to .34. A common pathway model revealed that the variance common to all three forms of resilience was predominantly explained by genetic and non-shared environmental influences (50% and 35%, respectively). Conclusions These results support recent conceptualizations of resilience as a multifaceted construct influenced by both genetic and environmental influences, only some of which overlap across the various domains of resilience.
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Peckins MK, Westerman HB, Burt SA, Murray L, Alves M, Miller AL, Gearhardt AN, Klump KL, Lumeng JC, Hyde LW. A brief child-friendly reward task reliably activates the ventral striatum in two samples of socioeconomically diverse youth. PLoS One 2022; 17:e0263368. [PMID: 35113913 PMCID: PMC8812963 DOI: 10.1371/journal.pone.0263368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 01/18/2022] [Indexed: 11/18/2022] Open
Abstract
Adolescence is a period of increased risk-taking behavior, thought to be driven, in part, by heightened reward sensitivity. One challenge of studying reward processing in the field of developmental neuroscience is finding a task that activates reward circuitry, and is short, not too complex, and engaging for youth of a wide variety of ages and socioeconomic backgrounds. In the present study, we tested a brief child-friendly reward task for activating reward circuitry in two independent samples of youth ages 7-19 years old enriched for poverty (study 1: n = 464; study 2: n = 27). The reward task robustly activated the ventral striatum, with activation decreasing from early to mid-adolescence and increasing from mid- to late adolescence in response to reward. This response did not vary by gender, pubertal development, or income-to-needs ratio, making the task applicable for a wide variety of populations. Additionally, ventral striatum activation to the task did not differ between youth who did and did not expect to receive a prize at the end of the task, indicating that an outcome of points alone may be enough to engage reward circuitry. Thus, this reward task is effective for studying reward processing in youth from different socioeconomic backgrounds.
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Affiliation(s)
- Melissa K. Peckins
- Department of Psychology, St. John’s University, Queens, New York, United States of America
| | - Heidi B. Westerman
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - S. Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, Michigan, United States of America
| | - Laura Murray
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Martha Alves
- Department of Family Medicine, Michigan Medicine, Ann Arbor, Michigan, United States of America
| | - Alison L. Miller
- Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Ashley N. Gearhardt
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Kelly L. Klump
- Department of Psychology, Michigan State University, East Lansing, Michigan, United States of America
| | - Julie C. Lumeng
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, United States of America
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
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32
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Rutherford S, Fraza C, Dinga R, Kia SM, Wolfers T, Zabihi M, Berthet P, Worker A, Verdi S, Andrews D, Han LK, Bayer JM, Dazzan P, McGuire P, Mocking RT, Schene A, Sripada C, Tso IF, Duval ER, Chang SE, Penninx BW, Heitzeg MM, Burt SA, Hyde LW, Amaral D, Wu Nordahl C, Andreasssen OA, Westlye LT, Zahn R, Ruhe HG, Beckmann C, Marquand AF. Charting brain growth and aging at high spatial precision. eLife 2022; 11:72904. [PMID: 35101172 PMCID: PMC8828052 DOI: 10.7554/elife.72904] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 01/26/2022] [Indexed: 11/28/2022] Open
Abstract
Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and used normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision-making.
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Affiliation(s)
- Saige Rutherford
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.,Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - Charlotte Fraza
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Richard Dinga
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Seyed Mostafa Kia
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.,Department of Psychiatry, Utrecht University Medical Center, Utrecht, Netherlands
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Mariam Zabihi
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Pierre Berthet
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Amanda Worker
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Serena Verdi
- Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.,Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Derek Andrews
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Davis, Sacramento, United States
| | - Laura Km Han
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.,GGZ inGeest, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Johanna Mm Bayer
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.,Orygen Youth Health, Melbourne, Australia
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Institute for Health Research Mental Health Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust and King's College London, London, United Kingdom
| | - Phillip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - Roel T Mocking
- Department of Psychiatry, Amsterdam UMC, Location AMC, Amsterdam, Netherlands
| | - Aart Schene
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands
| | - Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - Ivy F Tso
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - Elizabeth R Duval
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - Brenda Wjh Penninx
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.,GGZ inGeest, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Mary M Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, United States
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, United States
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, United States
| | - David Amaral
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Davis, Sacramento, United States
| | - Christine Wu Nordahl
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Davis, Sacramento, United States
| | - Ole A Andreasssen
- Norwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.,KG Jebsen Centre for Neurodevelopmental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.,KG Jebsen Centre for Neurodevelopmental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Roland Zahn
- Centre for Affective Disorders at the Institute of Psychiatry, King's College London, London, United Kingdom
| | - Henricus G Ruhe
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands
| | - Christian Beckmann
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.,Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Andre F Marquand
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
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Hardi FA, Goetschius LG, Peckins MK, Brooks-Gunn J, McLanahan SS, McLoyd V, Lopez-Duran NL, Mitchell C, Hyde LW, Monk CS. Differential Developmental Associations of Material Hardship Exposure and Adolescent Amygdala-Prefrontal Cortex White Matter Connectivity. J Cogn Neurosci 2021; 34:1866-1891. [PMID: 34942644 PMCID: PMC9651170 DOI: 10.1162/jocn_a_01801] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Accumulating literature has linked poverty to brain structure and function, particularly in affective neural regions; however, few studies have examined associations with structural connections or the importance of developmental timing of exposure. Moreover, prior neuroimaging studies have not used a proximal measure of poverty (i.e., material hardship, which assesses food, housing, and medical insecurity) to capture the lived experience of growing up in harsh economic conditions. The present investigation addressed these gaps collectively by examining the associations between material hardship (ages 1, 3, 5, 9, and 15 years) and white matter connectivity of frontolimbic structures (age of 15 years) in a low-income sample. We applied probabilistic tractography to diffusion imaging data collected from 194 adolescents. Results showed that material hardship related to amygdala-prefrontal, but not hippocampus-prefrontal or hippocampus-amygdala, white matter connectivity. Specifically, hardship during middle childhood (ages 5 and 9 years) was associated with greater connectivity between the amygdala and dorsomedial pFC, whereas hardship during adolescence (age of 15 years) was related to reduced amygdala-orbitofrontal (OFC) and greater amygdala-subgenual ACC connectivity. Growth curve analyses showed that greater increases of hardship across time were associated with both greater (amygdala-subgenual ACC) and reduced (amygdala-OFC) white matter connectivity. Furthermore, these effects remained above and beyond other types of adversity, and greater hardship and decreased amygdala-OFC connectivity were related to increased anxiety and depressive symptoms. Results demonstrate that the associations between material hardship and white matter connections differ across key prefrontal regions and developmental periods, providing support for potential windows of plasticity for structural circuits that support emotion processing.
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Carroll SL, Shewark EA, Hyde LW, Klump KL, Burt SA. Understanding the Effects of the COVID-19 Pandemic on Youth Psychopathology: Genotype-Environment Interplay. Biol Psychiatry Glob Open Sci 2021; 1:345-353. [PMID: 34514460 PMCID: PMC8415869 DOI: 10.1016/j.bpsgos.2021.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Adversity has consistently been found to predict poor mental health outcomes in youth. Perhaps the most omnipresent form of adversity in the past several decades has been the coronavirus pandemic of 2020, a global health crisis linked to elevated rates of numerous forms of youth psychopathology. The ongoing nature of the pandemic renders it critical to identify the mechanisms underlying its effects on mental health. METHODS The current study examines pandemic-related disruption across multiple domains (e.g., home life, finances) as an etiologic moderator of several common forms of youth psychopathology. Participants were 637 adolescent twin pairs from the Twin Study of Behavioral and Emotional Development in Children (TBED-C). Mothers reported on disruption experienced by the family, using the Epidemic-Pandemic Impacts Inventory. RESULTS A series of biometric genotype-by-environment interaction models revealed that disruption augmented the nonshared environmental contributions to emotional distress and conduct problems but had little effect on the etiology of attention-deficit hyperactivity problems. CONCLUSIONS Our results indicate that identical and fraternal twin similarity in both emotional symptoms and conduct problems decreased with greater disruption, such that children in the same family became less alike, and did so regardless of their degree of genetic resemblance. Put differently, each twin sibling appeared to have their own idiosyncratic experience of pandemic-related disruptions, with downstream consequences for their mental health.
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Affiliation(s)
- Sarah L. Carroll
- Department of Psychology, Michigan State University, East Lansing, Michigan
| | | | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, Michigan
- Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Kelly L. Klump
- Department of Psychology, Michigan State University, East Lansing, Michigan
| | - S. Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, Michigan
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Sripada C, Angstadt M, Taxali A, Kessler D, Greathouse T, Rutherford S, Clark DA, Hyde LW, Weigard A, Brislin SJ, Hicks B, Heitzeg M. Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds. Transl Psychiatry 2021; 11:575. [PMID: 34753911 PMCID: PMC8578613 DOI: 10.1038/s41398-021-01708-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/18/2021] [Accepted: 10/26/2021] [Indexed: 12/14/2022] Open
Abstract
Convergent research identifies a general factor ("P factor") that confers transdiagnostic risk for psychopathology. Large-scale networks are key organizational units of the human brain. However, studies of altered network connectivity patterns associated with the P factor are limited, especially in early adolescence when most mental disorders are first emerging. We studied 11,875 9- and 10-year olds from the Adolescent Brain and Cognitive Development (ABCD) study, of whom 6593 had high-quality resting-state scans. Network contingency analysis was used to identify altered interconnections associated with the P factor among 16 large-scale networks. These connectivity changes were then further characterized with quadrant analysis that quantified the directionality of P factor effects in relation to neurotypical patterns of positive versus negative connectivity across connections. The results showed that the P factor was associated with altered connectivity across 28 network cells (i.e., sets of connections linking pairs of networks); pPERMUTATION values < 0.05 FDR-corrected for multiple comparisons. Higher P factor scores were associated with hypoconnectivity within default network and hyperconnectivity between default network and multiple control networks. Among connections within these 28 significant cells, the P factor was predominantly associated with "attenuating" effects (67%; pPERMUTATION < 0.0002), i.e., reduced connectivity at neurotypically positive connections and increased connectivity at neurotypically negative connections. These results demonstrate that the general factor of psychopathology produces attenuating changes across multiple networks including default network, involved in spontaneous responses, and control networks involved in cognitive control. Moreover, they clarify mechanisms of transdiagnostic risk for psychopathology and invite further research into developmental causes of distributed attenuated connectivity.
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Affiliation(s)
- Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Aman Taxali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Daniel Kessler
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
| | | | - Saige Rutherford
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - D Angus Clark
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Alex Weigard
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Sarah J Brislin
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Brian Hicks
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mary Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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Sripada C, Angstadt M, Taxali A, Clark DA, Greathouse T, Rutherford S, Dickens JR, Shedden K, Gard AM, Hyde LW, Weigard A, Heitzeg M. Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth. Transl Psychiatry 2021; 11:571. [PMID: 34750359 PMCID: PMC8575890 DOI: 10.1038/s41398-021-01704-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/18/2021] [Accepted: 10/25/2021] [Indexed: 12/14/2022] Open
Abstract
General cognitive ability (GCA) is an individual difference dimension linked to important academic, occupational, and health-related outcomes and its development is strongly linked to differences in socioeconomic status (SES). Complex abilities of the human brain are realized through interconnections among distributed brain regions, but brain-wide connectivity patterns associated with GCA in youth, and the influence of SES on these connectivity patterns, are poorly understood. The present study examined functional connectomes from 5937 9- and 10-year-olds in the Adolescent Brain Cognitive Development (ABCD) multi-site study. Using multivariate predictive modeling methods, we identified whole-brain functional connectivity patterns linked to GCA. In leave-one-site-out cross-validation, we found these connectivity patterns exhibited strong and statistically reliable generalization at 19 out of 19 held-out sites accounting for 18.0% of the variance in GCA scores (cross-validated partial η2). GCA-related connections were remarkably dispersed across brain networks: across 120 sets of connections linking pairs of large-scale networks, significantly elevated GCA-related connectivity was found in 110 of them, and differences in levels of GCA-related connectivity across brain networks were notably modest. Consistent with prior work, socioeconomic status was a strong predictor of GCA in this sample, and we found that distributed GCA-related brain connectivity patterns significantly statistically mediated this relationship (mean proportion mediated: 15.6%, p < 2 × 10-16). These results demonstrate that socioeconomic status and GCA are related to broad and diffuse differences in functional connectivity architecture during early adolescence, potentially suggesting a mechanism through which socioeconomic status influences cognitive development.
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Affiliation(s)
- Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Mike Angstadt
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Aman Taxali
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - D. Angus Clark
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Tristan Greathouse
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Saige Rutherford
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Joseph R. Dickens
- grid.214458.e0000000086837370Department of Statistics, University of Michigan, Ann Arbor, MI USA
| | - Kerby Shedden
- grid.214458.e0000000086837370Department of Statistics, University of Michigan, Ann Arbor, MI USA
| | - Arianna M. Gard
- grid.164295.d0000 0001 0941 7177Department of Psychology and Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, MD USA
| | - Luke W. Hyde
- grid.214458.e0000000086837370Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI USA
| | - Alexander Weigard
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Mary Heitzeg
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
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Abstract
The present report describes the motivation for the Michigan Twin Neurogenetic Study (MTwiNS), which seeks to illuminate underlying biological mechanisms through which familial and community factors support resilience (i.e., adaptive competence in the face of adversity) in youth exposed to neighborhood disadvantage. To accomplish these goals, we must first understand how resilience manifests in this cohort. The current study uncovers evidence of three domains of youth resilience: psychiatric health, social engagement, and scholastic success. Although all three domains were relatively stable across a one-to-two year period, variability in this stability was observed. Additionally, although resilience in one domain was quite common, resilience across all 3 domains was less common. Finally, we show substantial variability in resilience within and across families, with substantial co-twin discordances that can be leveraged in future analyses that examine promotive contexts that are environmental in origin.
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Affiliation(s)
- S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | | | | | - Luke W Hyde
- Department of Psychology & Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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Lisdahl KM, Tapert S, Sher KJ, Gonzalez R, Nixon SJ, Ewing SWF, Conway KP, Wallace A, Sullivan R, Hatcher K, Kaiver C, Thompson W, Reuter C, Bartsch H, Wade NE, Jacobus J, Albaugh MD, Allgaier N, Anokhin AP, Bagot K, Baker FC, Banich MT, Barch DM, Baskin-Sommers A, Breslin FJ, Brown SA, Calhoun V, Casey BJ, Chaarani B, Chang L, Clark DB, Cloak C, Constable RT, Cottler LB, Dagher RK, Dapretto M, Dick A, Do EK, Dosenbach NUF, Dowling GJ, Fair DA, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Garavan HP, Gee DG, Glantz MD, Glaser P, Gonzalez MR, Gray KM, Grant S, Haist F, Hawes S, Heeringa SG, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman EA, Howlett KD, Huber RS, Huestis MA, Hyde LW, Iacono WG, Isaiah A, Ivanova MY, James RS, Jernigan TL, Karcher NR, Kuperman JM, Laird AR, Larson CL, LeBlanc KH, Lopez MF, Luciana M, Luna B, Maes HH, Marshall AT, Mason MJ, McGlade E, Morris AS, Mulford C, Nagel BJ, Neigh G, Palmer CE, Paulus MP, Pecheva D, Prouty D, Potter A, Puttler LI, Rajapakse N, Ross JM, Sanchez M, Schirda C, Schulenberg J, Sheth C, Shilling PD, Sowell ER, Speer N, Squeglia L, Sripada C, Steinberg J, Sutherland MT, Tomko R, Uban K, Vrieze S, Weiss SRB, Wing D, Yurgelun-Todd DA, Zucker RA, Heitzeg MM. Substance use patterns in 9-10 year olds: Baseline findings from the adolescent brain cognitive development (ABCD) study. Drug Alcohol Depend 2021; 227:108946. [PMID: 34392051 PMCID: PMC8833837 DOI: 10.1016/j.drugalcdep.2021.108946] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND The Adolescent Brain Cognitive Development ™ Study (ABCD Study®) is an open-science, multi-site, prospective, longitudinal study following over 11,800 9- and 10-year-old youth into early adulthood. The ABCD Study aims to prospectively examine the impact of substance use (SU) on neurocognitive and health outcomes. Although SU initiation typically occurs during teen years, relatively little is known about patterns of SU in children younger than 12. METHODS This study aims to report the detailed ABCD Study® SU patterns at baseline (n = 11,875) in order to inform the greater scientific community about cohort's early SU. Along with a detailed description of SU, we ran mixed effects regression models to examine the association between early caffeine and alcohol sipping with demographic factors, externalizing symptoms and parental history of alcohol and substance use disorders (AUD/SUD). PRIMARY RESULTS At baseline, the majority of youth had used caffeine (67.6 %) and 22.5 % reported sipping alcohol (22.5 %). There was little to no reported use of other drug categories (0.2 % full alcohol drink, 0.7 % used nicotine, <0.1 % used any other drug of abuse). Analyses revealed that total caffeine use and early alcohol sipping were associated with demographic variables (p's<.05), externalizing symptoms (caffeine p = 0002; sipping p = .0003), and parental history of AUD (sipping p = .03). CONCLUSIONS ABCD Study participants aged 9-10 years old reported caffeine use and alcohol sipping experimentation, but very rare other SU. Variables linked with early childhood alcohol sipping and caffeine use should be examined as contributing factors in future longitudinal analyses examining escalating trajectories of SU in the ABCD Study cohort.
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Affiliation(s)
- Krista M Lisdahl
- University of Wisconsin, Milwaukee, WI, United States; Medical College of Wisconsin, Milwaukee, WI, United States.
| | - Susan Tapert
- University of California, San Diego, CA, United States
| | | | - Raul Gonzalez
- Florida International University, Miami, FL, United States
| | - Sara Jo Nixon
- University of Florida, Gainesville, FL, United States
| | | | - Kevin P Conway
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - Alex Wallace
- University of Wisconsin, Milwaukee, WI, United States
| | - Ryan Sullivan
- University of Wisconsin, Milwaukee, WI, United States
| | - Kelah Hatcher
- University of Wisconsin, Milwaukee, WI, United States
| | | | - Wes Thompson
- University of California, San Diego, CA, United States
| | - Chase Reuter
- University of California, San Diego, CA, United States
| | - Hauke Bartsch
- University of California, San Diego, CA, United States
| | | | | | - M D Albaugh
- University of Vermont, Burlington, VT, United States
| | - N Allgaier
- University of Vermont, Burlington, VT, United States
| | - A P Anokhin
- Washington University, St. Louis, MO, United States
| | - K Bagot
- University of California, San Diego, CA, United States; Icahn School of Medicine at Mount Sinai, United States
| | - F C Baker
- SRI International, Menlo Park, CA, United States
| | - M T Banich
- University of Colorado Boulder, CO, United States
| | - D M Barch
- Washington University, St. Louis, MO, United States
| | | | - F J Breslin
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - S A Brown
- University of California, San Diego, CA, United States
| | - V Calhoun
- Georgia State University, Atlanta, GA, United States
| | - B J Casey
- Yale University, New Haven, CT, United States
| | - B Chaarani
- University of Vermont, Burlington, VT, United States
| | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, United States
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, United States
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, United States
| | | | - L B Cottler
- University of Florida, Gainesville, FL, United States
| | - R K Dagher
- National Institute of Minority Health and Health Disparities, Bethesda, MD, United States
| | - M Dapretto
- University of California, Los Angeles, CA, United States
| | - A Dick
- Florida International University, Miami, FL, United States
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, United States
| | | | - G J Dowling
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - D A Fair
- University of Minnesota, Minneapolis, MN, United States
| | - P Florsheim
- University of Wisconsin, Milwaukee, WI, United States
| | - J J Foxe
- University of Rochester, Rochester, NY, United States
| | - E G Freedman
- University of Rochester, Rochester, NY, United States
| | - N P Friedman
- University of Colorado Boulder, CO, United States
| | - H P Garavan
- University of Vermont, Burlington, VT, United States
| | - D G Gee
- Yale University, New Haven, CT, United States
| | - M D Glantz
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - P Glaser
- Washington University, St. Louis, MO, United States
| | - M R Gonzalez
- Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, United States
| | - S Grant
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - F Haist
- University of California, San Diego, CA, United States
| | - S Hawes
- Florida International University, Miami, FL, United States
| | - S G Heeringa
- University of Michigan, Ann Arbor, MI, United States
| | - R Hermosillo
- Oregon Health & Science University, Portland, OR, United States
| | - M M Herting
- University of Southern California, Los Angeles, CA, United States
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, United States
| | - J K Hewitt
- University of Colorado Boulder, CO, United States
| | - C Heyser
- University of California, San Diego, CA, United States
| | - E A Hoffman
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - K D Howlett
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - R S Huber
- University of Utah, Salt Lake City, UT, United States
| | - M A Huestis
- University of California, San Diego, CA, United States; Thomas Jefferson University, Philadelphia, PA, United States
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, United States
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, United States
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, United States
| | - M Y Ivanova
- University of Vermont, Burlington, VT, United States
| | - R S James
- American Psychistric Association, United States
| | - T L Jernigan
- University of California, San Diego, CA, United States
| | - N R Karcher
- Washington University, St. Louis, MO, United States
| | - J M Kuperman
- University of California, San Diego, CA, United States
| | - A R Laird
- Florida International University, Miami, FL, United States
| | - C L Larson
- University of Wisconsin, Milwaukee, WI, United States
| | - K H LeBlanc
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - M F Lopez
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - M Luciana
- University of Minnesota, Minneapolis, MN, United States
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, United States
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, United States
| | - A T Marshall
- Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - M J Mason
- University of Tennessee, Knoxville, TN, United States
| | - E McGlade
- University of Utah, Salt Lake City, UT, United States
| | - A S Morris
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oklahoma State University, Stillwater, OK, United States
| | - C Mulford
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, United States
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, United States
| | - C E Palmer
- University of California, San Diego, CA, United States
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - D Pecheva
- University of California, San Diego, CA, United States
| | - D Prouty
- SRI International, Menlo Park, CA, United States
| | - A Potter
- University of Vermont, Burlington, VT, United States
| | - L I Puttler
- University of Michigan, Ann Arbor, MI, United States
| | - N Rajapakse
- National Institute of Minority Health and Health Disparities, Bethesda, MD, United States
| | - J M Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - M Sanchez
- Florida International University, Miami, FL, United States
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, United States
| | - J Schulenberg
- University of Michigan, Ann Arbor, MI, United States
| | - C Sheth
- University of Utah, Salt Lake City, UT, United States
| | - P D Shilling
- University of California, San Diego, CA, United States
| | - E R Sowell
- Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - N Speer
- University of Colorado Boulder, CO, United States
| | - L Squeglia
- Medical University of South Carolina, Charleston, SC, United States
| | - C Sripada
- University of Michigan, Ann Arbor, MI, United States
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, United States
| | - M T Sutherland
- Florida International University, Miami, FL, United States
| | - R Tomko
- Medical University of South Carolina, Charleston, SC, United States
| | - K Uban
- University of California, Irvine, CA, United States
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, United States
| | - S R B Weiss
- National Institute on Drug Abuse, NIH, Bethesda, MD, United States
| | - D Wing
- University of California, San Diego, CA, United States
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, United States
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Carroll SL, Clark DA, Hyde LW, Klump KL, Burt SA. Continuity and Change in the Genetic and Environmental Etiology of Youth Antisocial Behavior. Behav Genet 2021; 51:580-591. [PMID: 34061264 PMCID: PMC8597321 DOI: 10.1007/s10519-021-10066-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/23/2021] [Indexed: 02/02/2023]
Abstract
Trajectories of youth antisocial behavior (ASB) are characterized by both continuity and change. Twin studies have further indicated that genetic factors underlie continuity, while environmental exposures unique to each child in a given family underlie change. However, most behavioral genetic studies have examined continuity and change during relatively brief windows of development (e.g., during childhood but not into adolescence). It is unclear whether these findings would persist when ASB trajectories are examined across multiple stages of early development (i.e., from early childhood into emerging adulthood). Our study sought to fill this gap by examining participants assessed up to five times between the ages of 3 and 22 years using an accelerated longitudinal design in the Michigan State University Twin Registry (MSUTR). We specifically examined the etiologies of stability and change via growth curve modeling and a series of univariate and bivariate twin analyses. While participants exhibited moderate-to-high rank-order stability, mean levels of ASB decreased linearly with age. Genetic and nonshared environmental influences that were present in early childhood also contributed to both stability and change across development, while shared environmental contributions were negligible. In addition, genetic and nonshared environmental influences that were not yet present at the initial assessment contributed to change over time. Although ASB tended to decrease in frequency with age, participants who engaged in high levels of ASB during childhood generally continued to do so throughout development. Moreover, the genetic and nonshared environmental contributions to ASB early in development also shaped the magnitude of the decrease with age.
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Affiliation(s)
- Sarah L Carroll
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - D Angus Clark
- Department of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology & Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA.
- Department of Psychology, Michigan State University, Room 107D Psychology Building, East Lansing, MI, 48824-1116, USA.
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40
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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021; 24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.
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Affiliation(s)
- B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M M Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A C Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H Loso
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Ivanciu
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M D Albaugh
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Laurent
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D J Hagler
- University of California, San Diego, La Jolla, CA, USA
| | - M D Cornejo
- Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
| | - S Hatton
- University of California, San Diego, La Jolla, CA, USA
| | - A Agrawal
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - L Aguinaldo
- University of California, San Diego, La Jolla, CA, USA
| | - L Ahonen
- University of Pittsburgh, Pittsburgh, PA, USA
| | - W Aklin
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - A P Anokhin
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Arroyo
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S Avenevoli
- National Institute of Mental Health, Bethesda, MD, USA
| | - D Babcock
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - K Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - F C Baker
- SRI International, Menlo Park, CA, USA
| | - M T Banich
- University of Colorado, Boulder, CO, USA
| | - D M Barch
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H Bartsch
- Haukeland University Hospital, Bergen, Norway
| | | | - J M Bjork
- Virginia Commonwealth University, Richmond, VA, USA
| | - D Blachman-Demner
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - M Bloch
- National Cancer Institute, Bethesda, MD, USA
| | - R Bogdan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | | | - F Breslin
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - S Brown
- University of California, San Diego, La Jolla, CA, USA
| | - F J Calabro
- University of Pittsburgh, Pittsburgh, PA, USA
| | - V Calhoun
- University of Colorado, Boulder, CO, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, USA
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - K Constable
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R Corley
- University of Colorado, Boulder, CO, USA
| | | | - S Coxe
- Florida International University, Miami, FL, USA
| | - R K Dagher
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - A M Dale
- University of California, San Diego, La Jolla, CA, USA
| | - M Dapretto
- University of California, Los Angeles, CA, USA
| | | | - A S Dick
- Florida International University, Miami, FL, USA
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, USA
| | - N U F Dosenbach
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - G J Dowling
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - S Edwards
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - T M Ernst
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Fair
- Oregon Health & Science University, Portland, OR, USA
| | - C C Fan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - E Feczko
- Oregon Health & Science University, Portland, OR, USA
| | | | | | - J J Foxe
- University of Rochester, Rochester, NY, USA
| | | | | | | | | | - A Galvan
- University of California, Los Angeles, CA, USA
| | - D G Gee
- Yale University, New Haven, CT, USA
| | - J Giedd
- University of California, San Diego, La Jolla, CA, USA
| | - M Glantz
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Glaser
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Godino
- University of California, San Diego, La Jolla, CA, USA
| | - M Gonzalez
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - R Gonzalez
- Florida International University, Miami, FL, USA
| | - S Grant
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, USA
| | - F Haist
- University of California, San Diego, La Jolla, CA, USA
| | - M P Harms
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - S Hawes
- Florida International University, Miami, FL, USA
| | - A C Heath
- University of California, San Diego, La Jolla, CA, USA
| | - S Heeringa
- University of Michigan, Ann Arbor, MI, USA
| | | | - R Hermosillo
- Oregon Health & Science University, Portland, OR, USA
| | - M M Herting
- University of Southern California, Los Angeles, CA, USA
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, USA
| | - J K Hewitt
- University of Colorado, Boulder, CO, USA
| | - C Heyser
- University of California, San Diego, La Jolla, CA, USA
| | - E Hoffman
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K Howlett
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R S Huber
- University of Utah, Salt Lake City, UT, USA
| | - M A Huestis
- Thomas Jefferson University, Philadelphia, PA, USA
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, USA
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, USA
| | - M A Infante
- University of California, San Diego, La Jolla, CA, USA
| | - O Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - S Iyengar
- National Endowment for the Arts, Washington DC, USA
| | - J Jacobus
- University of California, San Diego, La Jolla, CA, USA
| | - R James
- Virginia Commonwealth University, Richmond, VA, USA
| | - B Jean-Francois
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - T Jernigan
- University of California, San Diego, La Jolla, CA, USA
| | - N R Karcher
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - A Kaufman
- National Cancer Institute, Bethesda, MD, USA
| | - B Kelley
- National Institute of Justice, Washington DC, USA
| | - B Kit
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - A Ksinan
- Virginia Commonwealth University, Richmond, VA, USA
| | - J Kuperman
- University of California, San Diego, La Jolla, CA, USA
| | - A R Laird
- Florida International University, Miami, FL, USA
| | - C Larson
- University of Wisconsin, Milwaukee, WI, USA
| | - K LeBlanc
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - C Lessov-Schlagger
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - N Lever
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Lewis
- University of Pittsburgh, Pittsburgh, PA, USA
| | - K Lisdahl
- University of Wisconsin, Milwaukee, WI, USA
| | - A R Little
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Lopez
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Luciana
- University of Minnesota, Minneapolis, MN, USA
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, USA
| | - P A Madden
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Makowski
- University of California, San Diego, La Jolla, CA, USA
| | - A T Marshall
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - M J Mason
- University of Tennessee, Knoxville, TN, USA
| | - J Matochik
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | | | - E McGlade
- University of Utah, Salt Lake City, UT, USA
| | - I Montoya
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - G Morgan
- National Cancer Institute, Bethesda, MD, USA
| | - A Morris
- Oklahoma State University, Stillwater, OK, USA
| | - C Mulford
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Murray
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, USA
| | - M C Neale
- Virginia Commonwealth University, Richmond, VA, USA
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Nencka
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - A Noronha
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S J Nixon
- University of Florida, Gainesville, FL, USA
| | - C E Palmer
- University of California, San Diego, La Jolla, CA, USA
| | - V Pariyadath
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - W E Pelham
- Florida International University, Miami, FL, USA
| | | | - C Pierpaoli
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - A Prescot
- University of Utah, Salt Lake City, UT, USA
| | - D Prouty
- SRI International, Menlo Park, CA, USA
| | | | - N Rajapaske
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | | | - G Reeves
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - M C Riedel
- Florida International University, Miami, FL, USA
| | - P Rojas
- Florida International University, Miami, FL, USA
| | - M de la Rosa
- Florida International University, Miami, FL, USA
| | | | - M J Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M Sanchez
- Florida International University, Miami, FL, USA
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, USA
| | - D Schloesser
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | | | - K J Sher
- University of Missouri, Columbia, MO, USA
| | - C Sheth
- University of Utah, Salt Lake City, UT, USA
| | - P D Shilling
- University of California, San Diego, La Jolla, CA, USA
| | - W K Simmons
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E R Sowell
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - N Speer
- University of Colorado, Boulder, CO, USA
| | - M Spittel
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - L M Squeglia
- Medical University of South Carolina, Charleston, SC, USA
| | - C Sripada
- University of Michigan, Ann Arbor, MI, USA
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Striley
- University of Florida, Gainesville, FL, USA
| | | | - J Tanabe
- University of Colorado, Boulder, CO, USA
| | - S F Tapert
- University of California, San Diego, La Jolla, CA, USA
| | - W Thompson
- University of California, San Diego, La Jolla, CA, USA
| | - R L Tomko
- Medical University of South Carolina, Charleston, SC, USA
| | - K A Uban
- University of California, Irvine, CA, USA
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, USA
| | - N E Wade
- University of California, San Diego, La Jolla, CA, USA
| | - R Watts
- Yale University, New Haven, CT, USA
| | - S Weiss
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - B A Wiens
- University of Florida, Gainesville, FL, USA
| | - O D Williams
- Florida International University, Miami, FL, USA
| | - A Wilbur
- SRI International, Menlo Park, CA, USA
| | - D Wing
- University of California, San Diego, La Jolla, CA, USA
| | - D Wolff-Hughes
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - R Yang
- University of California, San Diego, La Jolla, CA, USA
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
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41
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Dotterer HL, Tomlinson RC, Burt SA, Weigard AS, Klump KL, Hyde LW. Neurocognitive abilities associated with antisocial behavior with and without callous-unemotional traits in a community sample. Neuropsychology 2021; 35:374-387. [PMID: 34043388 DOI: 10.1037/neu0000733] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE Antisocial behavior (aggression, rule breaking) is associated with lower intelligence and executive function deficits. Research has not clarified whether these associations differ with the presence of callous-unemotional (CU) traits, particularly within levels of antisocial behavior observed in the community. METHOD We examined whether antisocial behavior and CU traits were differentially associated with intelligence and executive function metrics in 474 adolescent twins (Mean age = 14.18; SD = 2.20) sampled from birth records to represent youth in the community living in neighborhoods with above average levels of poverty. Intelligence was assessed using standardized scores from the Shipley-2. Executive function was assessed using Go/No-Go and Stop Signal tasks. RESULTS Neither antisocial behavior, nor CU traits alone, were associated with cognitive functioning when accounting for demographic factors. However, antisocial behavior and CU traits interacted to predict reaction time variability. At low levels of CU traits, antisocial behavior was associated with higher reaction time variability (traditionally thought to reflect worse sustained attention). At high levels of CU traits, antisocial behavior was associated with lower reaction time variability (thought to reflect better sustained attention). CONCLUSION Elevated antisocial behavior and CU traits may be characterized by a distinct neurocognitive profile compared to elevated antisocial behavior in isolation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Luke W Hyde
- Department of Psychology, University of Michigan
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Dotterer HL, Burt SA, Klump KL, Hyde LW. Associations Between Parental Psychopathic Traits, Parenting, and Adolescent Callous-Unemotional Traits. Res Child Adolesc Psychopathol 2021; 49:1431-1445. [PMID: 34152500 DOI: 10.1007/s10802-021-00841-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2021] [Indexed: 10/21/2022]
Abstract
Callous-unemotional (CU) traits (i.e., callousness, low empathy, shallow affect) have been conceptualized as a downward extension of the interpersonal and affective components of adult psychopathy and are associated with stable and severe antisocial behavior. Research suggests that CU traits are moderately heritable, but also influenced by environmental factors, particularly parenting. We examined associations among mother and father psychopathic traits, parenting practices, and offspring CU traits in a community sample of 550 adolescent twins (Mean age = 13.99 years; SD 2.37; 56.4% male), incorporating multiple informants (mothers, fathers, child). Parental interpersonal-affective psychopathic traits were associated with adolescent CU traits and negative parenting (increased harshness, reduced warmth). Moreover, increased parental harshness and reduced warmth partially explained associations between parental interpersonal-affective traits and adolescent CU traits. There was also a significant direct effect specifically between mother interpersonal-affective traits and adolescent CU traits. Finally, using a twin difference design, we confirmed that adolescent CU traits were significantly impacted by non-shared environmental parenting influences (increased harshness, reduced warmth). These results suggest that mother and father interpersonal-affective traits appear to impact parenting practices and serve as risk factors for adolescent CU traits. However, many of the findings did not replicate when using cross-informant reports and were only present within single informant models, highlighting a role for shared informant variance as well. The results suggest the importance of accounting for parent personality in the development of effective parenting interventions for CU traits.
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Affiliation(s)
- Hailey L Dotterer
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA. .,Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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43
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Hein TC, Goetschius LG, McLoyd VC, Brooks-Gunn J, McLanahan SS, Mitchell C, Lopez-Duran NL, Hyde LW, Monk CS. Childhood violence exposure and social deprivation are linked to adolescent threat and reward neural function. Soc Cogn Affect Neurosci 2021; 15:1252-1259. [PMID: 33104799 PMCID: PMC7745142 DOI: 10.1093/scan/nsaa144] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 10/01/2020] [Accepted: 10/21/2020] [Indexed: 12/12/2022] Open
Abstract
Background Childhood adversity is, unfortunately, highly prevalent and strongly associated with later psychopathology. Recent theories posit that two dimensions of early adversity, threat and deprivation, have distinct effects on brain development. The current study evaluated whether violence exposure (threat) and social deprivation (deprivation) were associated with adolescent amygdala and ventral striatum activation, respectively, in a prospective, well-sampled, longitudinal cohort using a pre-registered, open science approach. Methods One hundred and sixty-seven adolescents from the Fragile Families and Child Wellbeing Study completed functional magnetic resonance imaging (fMRI) scanning. Prospective longitudinal data from ages 3, 5 and 9 years were used to create indices of childhood violence exposure and social deprivation. We evaluated whether these dimensions were associated with adolescent brain function in response to threatening and rewarding faces. Results Childhood violence exposure was associated with decreased amygdala habituation (i.e. more sustained activation) and activation to angry faces in adolescence, whereas childhood social deprivation was associated with decreased ventral striatum activation to happy faces in adolescence. These associations held when adjusting for the other dimension of adversity (e.g., adjusting for social deprivation when examining associations with violence exposure), the interaction of the two dimensions of adversity, gender, internalizing psychopathology, and current life stress. Conclusions Consistent with recent theories, different forms of early adversity were associated with region-specific differences in brain activation.
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Affiliation(s)
- Tyler C Hein
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043, USA.,Serious Mental Illness Treatment Resource and Evaluation Center, Office of Mental Health and Suicide Prevention, Department of Veterans Affairs, Ann Arbor, MI 48109, USA
| | - Leigh G Goetschius
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043, USA
| | - Vonnie C McLoyd
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043, USA
| | | | - Sara S McLanahan
- Department of Sociology, Princeton University, Princeton, NJ 08544, USA
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106-1248, USA.,Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106-1248, USA
| | | | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043, USA.,Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106-1248, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043, USA.,Department of Sociology, Princeton University, Princeton, NJ 08544, USA.,Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.,Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
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44
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Gard AM, Ware EB, Hyde LW, Schmitz LL, Faul J, Mitchell C. Phenotypic and genetic markers of psychopathology in a population-based sample of older adults. Transl Psychiatry 2021; 11:239. [PMID: 33895785 PMCID: PMC8068727 DOI: 10.1038/s41398-021-01354-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 03/03/2021] [Accepted: 03/23/2021] [Indexed: 12/04/2022] Open
Abstract
Although psychiatric phenotypes are hypothesized to organize into a two-factor internalizing-externalizing structure, few studies have evaluated the structure of psychopathology in older adults, nor explored whether genome-wide polygenic scores (PGSs) are associated with psychopathology in a domain-specific manner. We used data from 6003 individuals of European ancestry from the Health and Retirement Study, a large population-based sample of older adults in the United States. Confirmatory factor analyses were applied to validated measures of psychopathology and PGSs were derived from well-powered genome-wide association studies (GWAS). Genomic SEM was implemented to construct latent PGSs for internalizing, externalizing, and general psychopathology. Phenotypically, the data were best characterized by a single general factor of psychopathology, a factor structure that was replicated across genders and age groups. Although externalizing PGSs (cannabis use, antisocial behavior, alcohol dependence, attention deficit hyperactivity disorder) were not associated with any phenotypes, PGSs for major depressive disorder, neuroticism, and anxiety disorders were associated with both internalizing and externalizing phenotypes. Moreover, the variance explained in the general factor of psychopathology increased by twofold (from 1% to 2%) using the latent internalizing or latent one-factor PGSs, derived using weights from Genomic Structural Equation Modeling (SEM), compared with any of the individual PGSs. Collectively, results suggest that genetic risk factors for and phenotypic markers of psychiatric disorders are transdiagnostic in older adults of European ancestry. Alternative explanations are discussed, including methodological limitations of GWAS and phenotypic measurement of psychiatric outcome in large-scale population-based studies.
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Affiliation(s)
- Arianna M Gard
- Department of Psychology, University of Maryland, College Park, MD, USA
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Erin B Ware
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Lauren L Schmitz
- La Follette School of Public Affairs, University of Wisconsin, Madison, WI, USA
| | - Jessica Faul
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Colter Mitchell
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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45
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Herting MM, Uban KA, Gonzalez MR, Baker FC, Kan EC, Thompson WK, Granger DA, Albaugh MD, Anokhin AP, Bagot KS, Banich MT, Barch DM, Baskin-Sommers A, Breslin FJ, Casey BJ, Chaarani B, Chang L, Clark DB, Cloak CC, Constable RT, Cottler LB, Dagher RK, Dapretto M, Dick AS, Dosenbach N, Dowling GJ, Dumas JA, Edwards S, Ernst T, Fair DA, Feldstein-Ewing SW, Freedman EG, Fuemmeler BF, Garavan H, Gee DG, Giedd JN, Glaser PEA, Goldstone A, Gray KM, Hawes SW, Heath AC, Heitzeg MM, Hewitt JK, Heyser CJ, Hoffman EA, Huber RS, Huestis MA, Hyde LW, Infante MA, Ivanova MY, Jacobus J, Jernigan TL, Karcher NR, Laird AR, LeBlanc KH, Lisdahl K, Luciana M, Luna B, Maes HH, Marshall AT, Mason MJ, McGlade EC, Morris AS, Nagel BJ, Neigh GN, Palmer CE, Paulus MP, Potter AS, Puttler LI, Rajapakse N, Rapuano K, Reeves G, Renshaw PF, Schirda C, Sher KJ, Sheth C, Shilling PD, Squeglia LM, Sutherland MT, Tapert SF, Tomko RL, Yurgelun-Todd D, Wade NE, Weiss SRB, Zucker RA, Sowell ER. Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study. Front Endocrinol (Lausanne) 2021; 11:549928. [PMID: 33679599 PMCID: PMC7930488 DOI: 10.3389/fendo.2020.549928] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 11/23/2020] [Indexed: 02/02/2023] Open
Abstract
Aim To examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics. Methods Cross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels. Results PDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample. Conclusions Sociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.
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Affiliation(s)
- Megan M. Herting
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Kristina A. Uban
- Public Health, University of California, Irvine, Irvine, CA, United States
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
| | - Marybel Robledo Gonzalez
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Eric C. Kan
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Wesley K. Thompson
- Division of Biostatistics, University of California, San Diego, La Jolla, CA, United States
| | - Douglas A. Granger
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
- Social Ecology, University of California, Irvine, Irvine, CA, United States
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, CA, United States
| | - Matthew D. Albaugh
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Kara S. Bagot
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Marie T. Banich
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Deanna M. Barch
- Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, United States
| | | | | | - B. J. Casey
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Linda Chang
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Duncan B. Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Christine C. Cloak
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - R. Todd Constable
- Radiology and Biomedical Imaging, University of Yale, New Haven, CT, United States
| | - Linda B. Cottler
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Rada K. Dagher
- Division of Scientific Programs, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Mirella Dapretto
- Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Anthony S. Dick
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Nico Dosenbach
- Department of Neurology, Washington University, St. Louis, MO, United States
| | - Gayathri J. Dowling
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Julie A. Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Sarah Edwards
- Department of Psychiatry, University of Maryland, Baltimore, MD, United States
| | - Thomas Ernst
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Damien A. Fair
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | | | - Edward G. Freedman
- Department of Neuroscience, University of Rochester, Rochester, NY, United States
| | - Bernard F. Fuemmeler
- Health Behavior and Policy, Virginia Commonwealth University, Richmon, VA, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Dylan G. Gee
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Jay N. Giedd
- Department of Psychiatry, University of San Diego, La Jolla, CA, United States
| | - Paul E. A. Glaser
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Kevin M. Gray
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Samuel W. Hawes
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Andrew C. Heath
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Mary M. Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - John K. Hewitt
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Charles J. Heyser
- Center for Human Development, University of California, San Diego, La Jolla, CA, United States
| | - Elizabeth A. Hoffman
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Rebekah S. Huber
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Marilyn A. Huestis
- Medical Cannabis & Science Program, Thomas Jefferson University, Philadelphia, PA, United States
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - M. Alejandra Infante
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Masha Y. Ivanova
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Joanna Jacobus
- Department of Psychiatry, University of San Diego, La Jolla, CA, United States
| | - Terry L. Jernigan
- Department of Cognitive Science, University of San Diego, La Jolla, CA, United States
| | - Nicole R. Karcher
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, United States
| | - Kimberly H. LeBlanc
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Krista Lisdahl
- Department of Psychology, University of Wisconsin, Milwaukee, WI, United States
| | - Monica Luciana
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Hermine H. Maes
- Human & Molecular Genetics, Virginia Commonwealth University, Richmond, VT, United States
| | - Andrew T. Marshall
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Department of Pediatrics, University of Southern California, Los Angeles, CA, United States
| | - Michael J. Mason
- Center for Behavioral Health Research, University of Tennessee, Knoxville, TN, United States
| | - Erin C. McGlade
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Amanda S. Morris
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Human Development and Family Science, Oklahoma State University, Tulsa, OK, United States
| | - Bonnie J. Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, United States
| | - Gretchen N. Neigh
- Anatomy & Neurobiology, Virginia Commonwealth University, Richmond, VT, United States
| | - Clare E. Palmer
- Center for Human Development, University of California, San Diego, La Jolla, CA, United States
| | | | - Alexandra S. Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Leon I. Puttler
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Nishadi Rajapakse
- Division of Scientific Programs, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Kristina Rapuano
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Gloria Reeves
- Department of Psychiatry, University of Maryland, Baltimore, MD, United States
| | - Perry F. Renshaw
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Claudiu Schirda
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kenneth J. Sher
- Department of Psychology, University of Missouri, Columbia, MO, United States
| | - Chandni Sheth
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Paul D. Shilling
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Lindsay M. Squeglia
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Susan F. Tapert
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Rachel L. Tomko
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Deborah Yurgelun-Todd
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Natasha E. Wade
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Susan R. B. Weiss
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Robert A. Zucker
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Elizabeth R. Sowell
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
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46
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Abstract
In the current study, we leveraged differences within twin pairs to examine whether harsh parenting is associated with children's antisocial behavior via environmental (vs. genetic) transmission. We examined two independent samples from the Michigan State University Twin Registry. Our primary sample contained 1,030 families (2,060 twin children; 49% female; 6-10 years old) oversampled for exposure to disadvantage. Our replication sample included 240 families (480 twin children; 50% female; 6-15 years old). Co-twin control analyses were conducted using a specification-curve framework, an exhaustive modeling approach in which all reasonable analytic specifications of the data are interrogated. Results revealed that, regardless of zygosity, the twin experiencing harsher parenting exhibited more antisocial behavior. These effects were robust across multiple operationalizations and informant reports of both harsh parenting and antisocial behavior with only a few exceptions. Results indicate that the association between harsh parenting and children's antisocial behavior is, to a large degree, environmental in origin.
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Affiliation(s)
| | - D Angus Clark
- University of Michigan Addiction Center, Department of Psychiatry, University of Michigan
| | - Elizabeth T Gershoff
- Population Research Center, The University of Texas at Austin.,Department of Human Development and Family Sciences, The University of Texas at Austin
| | | | - Luke W Hyde
- Department of Psychology, University of Michigan
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47
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Gard AM, Maxwell AM, Shaw DS, Mitchell C, Brooks-Gunn J, McLanahan SS, Forbes EE, Monk CS, Hyde LW. Beyond family-level adversities: Exploring the developmental timing of neighborhood disadvantage effects on the brain. Dev Sci 2021; 24:e12985. [PMID: 32416027 PMCID: PMC7669733 DOI: 10.1111/desc.12985] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 02/06/2023]
Abstract
A growing literature suggests that adversity is associated with later altered brain function, particularly within the corticolimbic system that supports emotion processing and salience detection (e.g., amygdala, prefrontal cortex [PFC]). Although neighborhood socioeconomic disadvantage has been shown to predict maladaptive behavioral outcomes, particularly for boys, most of the research linking adversity to corticolimbic function has focused on family-level adversities. Moreover, although animal models and studies of normative brain development suggest that there may be sensitive periods during which adversity exerts stronger effects on corticolimbic development, little prospective evidence exists in humans. Using two low-income samples of boys (n = 167; n = 77), Census-derived neighborhood disadvantage during early childhood, but not adolescence, was uniquely associated with greater amygdala, but not PFC, reactivity to ambiguous neutral faces in adolescence and young adulthood. These associations remained after accounting for several family-level adversities (e.g., low family income, harsh parenting), highlighting the independent and developmentally specific neural effects of the neighborhood context. Furthermore, in both samples, indicators measuring income and poverty status of neighbors were predictive of amygdala function, suggesting that neighborhood economic resources may be critical to brain development.
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Affiliation(s)
- Arianna M. Gard
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Andrea M. Maxwell
- Medical Scientist Training Program, University of Minnesota, Minneapolis, MN, USA
| | - Daniel S. Shaw
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jeanne Brooks-Gunn
- Teachers College, Columbia University, New York, NY, USA
- College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Sara S. McLanahan
- Department of Sociology and Public Affairs, Princeton University, Princeton, NJ, USA
- Center for Research on Child Wellbeing, Princeton University, Princeton, NJ, USA
- Office of Population Research, Princeton University, Princeton, NJ, USA
| | - Erika E. Forbes
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christopher S. Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
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48
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Murray L, Lopez-Duran NL, Mitchell C, Monk CS, Hyde LW. Neural mechanisms of reward and loss processing in a low-income sample of at-risk adolescents. Soc Cogn Affect Neurosci 2020; 15:1310-1325. [PMID: 33216937 PMCID: PMC7759206 DOI: 10.1093/scan/nsaa157] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 09/30/2020] [Accepted: 11/19/2020] [Indexed: 12/17/2022] Open
Abstract
Adolescence is a time of engagement in risky, reward-driven behaviors, with concurrent developmental changes within reward-related neural systems. As previous research has recruited mostly higher socioeconomic, European and European American participants, therefore limiting generalizability to the US population, especially for populations of color or low-income populations. The current study provided one of the first opportunities to examine the neural correlates of reward and loss functioning in a population-based sample of adolescents at increased risk for poverty-related adversities. The study investigated neural reward and loss processing and whether age, pubertal status and the social constructs of gender and race predicted individual differences in reward- and loss-related brain function. One hundred and twenty-eight primarily low-income adolescents (mean age: 15.9 years, 75% African American) from urban environments completed a modified monetary incentive delay task during functional magnetic resonance imaging (fMRI). Consistent with the previous research, reward and loss anticipation recruited similar motivational circuitry including striatal, insular, thalamic and supplementary motor areas. Race and gender were not associated with reward- or loss-related neural reactivity. Age and pubertal development were associated with differences in neural reactivity to reward and loss, suggesting that older and more mature adolescents had increased activity in sensory and motivational circuits, but decreased activity in regions responsible for error detection and behavior modification.
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Affiliation(s)
- Laura Murray
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | | | - Colter Mitchell
- Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
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49
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Hyde LW, Gard AM, Tomlinson RC, Burt SA, Mitchell C, Monk CS. An ecological approach to understanding the developing brain: Examples linking poverty, parenting, neighborhoods, and the brain. Am Psychol 2020; 75:1245-1259. [PMID: 33382290 PMCID: PMC8167378 DOI: 10.1037/amp0000741] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
We describe an ecological approach to understanding the developing brain, with a focus on the effects of poverty-related adversity on brain function. We articulate how combining multilevel ecological models from developmental science and developmental psychopathology with human neuroscience can inform our approach to understanding the developmental neuroscience of risk and resilience. To illustrate this approach, we focus on associations between poverty and brain function, the roles parents and neighborhoods play in this context, and the potential impact of developmental timing. We also describe the major challenges and needed advances in these areas of research to better understand how and why poverty-related adversity may impact the developing brain, including the need for: a population neuroscience approach with greater attention to sampling and representation, genetically informed and causal designs, advances in assessing context and brain function, caution in interpretation of effects, and a focus on resilience. Work in this area has major implications for policy and prevention, which are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
- Luke W Hyde
- Department of Psychology, University of Michigan
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50
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Sypher I, Hyde LW, Peckins MK, Waller R, Klump K, Alexandra Burt S. Effects of Parenting and Community Violence on Aggression-Related Social Goals: a Monozygotic Twin Differences Study. J Abnorm Child Psychol 2020; 47:1001-1012. [PMID: 30604154 DOI: 10.1007/s10802-018-0506-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Community violence exposure and harsh parenting have been linked to maladaptive outcomes, possibly via their effects on social cognition. The Social Information Processing (SIP) model has been used to study distinct socio-cognitive processes, demonstrating links between community violence exposure, harsh parenting, and maladaptive SIP. Though much of this research assumes these associations are causal, genetic confounds have made this assumption difficult to rigorously test. Comparisons of discordant monozygotic (MZ) twins provide one empirical test of possible causality, as differences between MZ twins must be environmental in origin. The present study examined effects of parenting and community violence exposure on SIP - specifically aggressive and avoidant social goals - in a sample of 426 MZ twin dyads (N = 852 twins, 48% female). Phenotypically, we found that lower positive parenting and greater harsh parenting were associated with greater endorsement of dominance and revenge goals. We also found that indirect and direct community violence exposure was associated with greater endorsement of avoidance goals. Using an MZ difference design, we found that the relationships between lower levels of positive parenting and endorsement of dominance and revenge goals were due, in part, to environmental processes. Moreover, the relationships between the impact of indirect and direct community violence exposure and avoidance goals, as well as between the impact of indirect community violence exposure and revenge goals, appeared to be due to non-shared environmental processes. Our results establish social and contextual experiences as important environmental influences on children's social goals, which may increase risk for later psychopathology.
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Affiliation(s)
- Isaiah Sypher
- Department of Psychology, University of Michigan, 2229 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, 2229 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA. .,Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA. .,Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
| | - Melissa K Peckins
- Department of Psychology, University of Michigan, 2229 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA
| | - Rebecca Waller
- Department of Psychology, University of Michigan, 2229 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA.,Department of Psychology, University of Pennsylvania, Stephen A. Levin Building, 425 S. University Avenue, Philadelphia, PA, 19104, USA
| | - Kelly Klump
- Department of Psychology, Michigan State University, Psychology Building, 316 Physics Road, Room 262, East Lansing, MI, 48824, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, Psychology Building, 316 Physics Road, Room 262, East Lansing, MI, 48824, USA
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