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Keding TJ, Heyn SA, Russell JD, Zhu X, Cisler J, McLaughlin KA, Herringa RJ. Differential Patterns of Delayed Emotion Circuit Maturation in Abused Girls With and Without Internalizing Psychopathology. Am J Psychiatry 2021; 178:1026-1036. [PMID: 34407623 PMCID: PMC8570983 DOI: 10.1176/appi.ajp.2021.20081192] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Childhood abuse represents one of the most potent risk factors for developing psychopathology, especially in females. Evidence suggests that exposure to early-life adversity may be related to advanced maturation of emotion processing neural circuits. However, it remains unknown whether abuse is related to early circuit maturation and whether maturation patterns depend on the presence of psychopathology. METHODS A multisite sample of 234 girls (ages 8-18 years) completed clinical assessment, maltreatment histories, and high-resolution T1-weighted structural MRI. Girls were stratified by abuse history and internalizing disorder diagnosis into typically developing (no abuse/no diagnosis), resilient (abuse/no diagnosis), and susceptible (abuse/current diagnosis) groups. Machine learning models of normative brain development were aggregated in a stacked generalization framework trained to predict chronological age using gray matter volume in whole-brain, emotion, and language circuit parcellations. Brain age gap estimations (BrainAGEs; predicted age minus true chronological age) were calculated as indices of relative circuit maturation. RESULTS Childhood abuse was related to reduced BrainAGE (delayed maturation) specific to emotion circuits. Delayed emotion circuit BrainAGE was further related to increased hyperarousal symptoms. Childhood physical neglect was associated with increased whole-brain BrainAGE (advanced maturation). Neural contributors to emotion circuit BrainAGE differed in girls with and without an internalizing diagnosis, especially in the lateral prefrontal, parietal, and insular cortices and the hippocampus. CONCLUSIONS Abuse exposure in girls is associated with a delayed structural maturation pattern specific to emotion circuitry, a potentially adaptive mechanism enhancing threat generalization. Physical neglect, on the other hand, is associated with a broader brain-wide pattern of advanced structural maturation. The differential influence of fronto-parietal cortices and the hippocampus on emotion circuit maturity in resilient girls may represent neurodevelopmental markers of reduced psychiatric risk following abuse.
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Affiliation(s)
- Taylor J. Keding
- Neuroscience Training Program, University of Wisconsin-Madison; Madison, WI, USA
- Department of Psychiatry, University of Wisconsin School of Medicine & Public Health; Madison, WI, USA
| | - Sara A. Heyn
- Department of Psychiatry, University of Wisconsin School of Medicine & Public Health; Madison, WI, USA
| | - Justin D. Russell
- Department of Psychiatry, University of Wisconsin School of Medicine & Public Health; Madison, WI, USA
| | - Xiaojin Zhu
- Department of Computer Science, University of Wisconsin-Madison; Madison, WI, USA
| | - Josh Cisler
- Neuroscience Training Program, University of Wisconsin-Madison; Madison, WI, USA
- Department of Psychiatry, University of Wisconsin School of Medicine & Public Health; Madison, WI, USA
| | | | - Ryan J. Herringa
- Neuroscience Training Program, University of Wisconsin-Madison; Madison, WI, USA
- Department of Psychiatry, University of Wisconsin School of Medicine & Public Health; Madison, WI, USA
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102
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Tomasi D, Volkow ND. Associations of family income with cognition and brain structure in USA children: prevention implications. Mol Psychiatry 2021; 26:6619-6629. [PMID: 33990770 PMCID: PMC8590701 DOI: 10.1038/s41380-021-01130-0] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/06/2021] [Accepted: 04/14/2021] [Indexed: 02/03/2023]
Abstract
Poverty, as assessed by several socioeconomic (SES) factors, has been linked to worse cognitive performance and reduced cortical brain volumes in children. However, the relative contributions of the various SES factors on brain development and the mediating effects between cognition and brain morphometry have not been investigated. Here we used cross-sectional data from the ABCD Study to evaluate associations among various SES and demographic factors, brain morphometrics, and cognition and their reproducibility in two independent subsamples of 3892 children. Among the SES factors, family income (FI) best explained individual differences in cognitive test scores (stronger for crystallized than for fluid cognition), cortical volume (CV), and thickness (CT). Other SES factors that showed significant associations with cognition and brain morphometrics included parental education and neighborhood deprivation, but when controlling for FI, their effect sizes were negligible and their regional brain patterns were not reproducible. Mediation analyses showed that cognitive scores, which we used as surrogate markers of the children's level of cognitive stimulation, partially mediated the association of FI and CT, whereas the mediations of brain morphometrics on the association of FI and cognition were not significant. These results suggest that lack of supportive/educational stimulation in children from low-income families might drive the reduced CV and CT. Thus, strategies to enhance parental supportive stimulation and the quality of education for children in low-income families could help counteract the negative effects of poverty on children's brain development.
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Affiliation(s)
- Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
- National Institute on Drug Abuse, Bethesda, MD, USA
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103
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Marshall AT, McConnell R, Lanphear BP, Thompson WK, Herting MM, Sowell ER. Risk of lead exposure, subcortical brain structure, and cognition in a large cohort of 9- to 10-year-old children. PLoS One 2021; 16:e0258469. [PMID: 34648580 PMCID: PMC8516269 DOI: 10.1371/journal.pone.0258469] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 09/26/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Lead, a toxic metal, affects cognitive development at the lowest measurable concentrations found in children, but little is known about its direct impact on brain development. Recently, we reported widespread decreases in cortical surface area and volume with increased risks of lead exposure, primarily in children of low-income families. METHODS AND FINDINGS We examined associations of neighborhood-level risk of lead exposure with cognitive test performance and subcortical brain volumes. We also examined whether subcortical structure mediated associations between lead risk and cognitive performance. Our analyses employed a cross-sectional analysis of baseline data from the observational Adolescent Brain Cognitive Development (ABCD) Study. The multi-center ABCD Study used school-based enrollment to recruit a demographically diverse cohort of almost 11,900 9- and 10-year-old children from an initial 22 study sites. The analyzed sample included data from 8,524 typically developing child participants and their parents or caregivers. The primary outcomes and measures were subcortical brain structure, cognitive performance using the National Institutes of Health Toolbox, and geocoded risk of lead exposure. Children who lived in neighborhoods with greater risks of environmental lead exposure exhibited smaller volumes of the mid-anterior (partial correlation coefficient [rp] = -0.040), central (rp = -0.038), and mid-posterior corpus callosum (rp = -0.035). Smaller volumes of these three callosal regions were associated with poorer performance on cognitive tests measuring language and processing speed. The association of lead exposure risk with cognitive performance was partially mediated through callosal volume, particularly the mid-posterior corpus callosum. In contrast, neighborhood-level indicators of disadvantage were not associated with smaller volumes of these brain structures. CONCLUSIONS Environmental factors related to the risk of lead exposure may be associated with certain aspects of cognitive functioning via diminished subcortical brain structure, including the anterior splenium (i.e., mid-posterior corpus callosum).
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Affiliation(s)
- Andrew T. Marshall
- Children’s Hospital Los Angeles, and the Department of Pediatrics, University of Southern California, Los Angeles, California, United States of America
| | - Rob McConnell
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Wesley K. Thompson
- Department of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
| | - Megan M. Herting
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Elizabeth R. Sowell
- Children’s Hospital Los Angeles, and the Department of Pediatrics, University of Southern California, Los Angeles, California, United States of America
- * E-mail:
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104
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Sakurai T. Social processes and social environment during development. Semin Cell Dev Biol 2021; 129:40-46. [PMID: 34649805 DOI: 10.1016/j.semcdb.2021.09.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 09/20/2021] [Accepted: 09/28/2021] [Indexed: 12/24/2022]
Abstract
Social behavior involves many processes including cognitive functions. Altered social behaviors associated with many psychiatric disorders might have alterations in the processes. Poor social environment affects development and maturation of cognitive functions that are important for social cognition, possibly introducing social stress as well as vulnerability to the stress into the developing brain. Adolescence and early adulthood have higher sensitivity to social stress, which may be linked to the onset of psychiatric disorders during this time period. Understanding social behavioral processes in detail will be crucial for elucidating mechanisms of emerging the social behavior phenotypes in psychiatric disorders and for devising therapeutic and preventive interventions to introduce the resilience for the onset of psychiatric disorders through modulation of social circuitries.
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Affiliation(s)
- Takeshi Sakurai
- Medical Innovation Center Kyoto University Graduate School of Medicine, 53 ShogoinKawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan; Department of Pathology, Columbia University Vagelos College of Physicians and Surgeons, New York, USA.
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105
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Lannoy S, Sullivan EV. Trajectories of brain development reveal times of risk and factors promoting resilience to alcohol use during adolescence. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2021; 160:85-116. [PMID: 34696880 PMCID: PMC10657639 DOI: 10.1016/bs.irn.2021.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Alcohol use disorder (AUD) is recognized as harmful for the developing brain. Numerous studies have sought environmental and genetic risk factors that predict the development of AUD, but recently identified resilience factors have emerged as protective. This chapter reviews normal processes of brain development in adolescence and emerging adulthood, delineates disturbed growth neurotrajectories related to heavy drinking, and identifies potential endogenous, experiential, and time-linked brain markers of resilience. For example, concurrent high dorsolateral prefrontal activation serving inhibitory control and low nucleus accumbens activation serving reward functions engender positive adaptation and low alcohol use. Also discussed is the role that moderating factors have in promoting risk for or resilience to AUD. Longitudinal research on the effects of all levels of alcohol drinking on the developing brain remains crucial and should be pursued in the context of resilience, which is a promising direction for identifying protective biomarkers against developing AUDs.
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Affiliation(s)
- S Lannoy
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States; Department of Psychiatry, Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, United States
| | - E V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States.
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106
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Rakesh D, Cropley V, Zalesky A, Vijayakumar N, Allen NB, Whittle S. Neighborhood disadvantage and longitudinal brain-predicted-age trajectory during adolescence. Dev Cogn Neurosci 2021; 51:101002. [PMID: 34411954 PMCID: PMC8377545 DOI: 10.1016/j.dcn.2021.101002] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 07/25/2021] [Accepted: 08/08/2021] [Indexed: 01/16/2023] Open
Abstract
Neighborhood disadvantage has consistently been linked to alterations in brain structure; however, positive environmental (e.g., positive parenting) and psychological factors (e.g., temperament) may buffer these effects. We aimed to investigate associations between neighborhood disadvantage and deviations from typical neurodevelopmental trajectories during adolescence, and examine the moderating role of positive parenting and temperamental effortful control (EC). Using a large dataset (n = 1313), a normative model of brain morphology was established, which was then used to predict the age of youth from a longitudinal dataset (n = 166, three time-points at age 12, 16, and 19). Using linear mixed models, we investigated whether trajectories of the difference between brain-predicted-age and chronological age (brainAGE) were associated with neighborhood disadvantage, and whether positive parenting (positive behavior during a problem-solving task) and EC moderated these associations. We found that neighborhood disadvantage was associated with positive brainAGE during early adolescence and a deceleration (decreasing brainAGE) thereafter. EC moderated this association such that in disadvantaged adolescents, low EC was associated with delayed development (negative brainAGE) during late adolescence. Findings provide evidence for complex associations between environmental and psychological factors, and brain maturation. They suggest that neighborhood disadvantage may have long-term effects on neurodevelopment during adolescence, but high EC could buffer these effects.
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Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia.
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia; Melbourne School of Engineering, University of Melbourne, Melbourne, Australia
| | | | | | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia.
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107
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Rakesh D, Whittle S. Socioeconomic status and the developing brain - A systematic review of neuroimaging findings in youth. Neurosci Biobehav Rev 2021; 130:379-407. [PMID: 34474050 DOI: 10.1016/j.neubiorev.2021.08.027] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/13/2021] [Accepted: 08/25/2021] [Indexed: 02/06/2023]
Abstract
A growing literature has shown associations between socioeconomic disadvantage and neural properties (such as brain structure and function). In this review, we aimed to synthesize findings on the neural correlates of socioeconomic status (SES) in youth samples across neuroimaging modalities. We also aimed to disentangle the effects of different SES measures (e.g., parent income and education) in our synthesis. We found relatively consistent patterns of positive associations between SES and both volume and cortical surface area of frontal regions, and amygdala, hippocampal, and striatal volume (with most consistent results for composite SES indices). Despite limited longitudinal work, results suggest that SES is associated with developmental trajectories of gray matter structure. Higher SES was also found to be associated with increased fractional anisotropy of some white matter tracts, although there were more null than positive findings. Finally, methodological heterogeneity in brain function and connectivity studies prevented us from making strong inferences. Based on our findings, we make recommendations for future research, discuss the role of mitigating factors, and implications for policy.
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Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, VIC, Australia.
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, VIC, Australia
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108
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Demir-Lira ÖE, Asaridou SS, Nolte C, Small SL, Goldin-Meadow S. Parent Language Input Prior to School Forecasts Change in Children's Language-Related Cortical Structures During Mid-Adolescence. Front Hum Neurosci 2021; 15:650152. [PMID: 34408634 PMCID: PMC8366586 DOI: 10.3389/fnhum.2021.650152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 06/04/2021] [Indexed: 11/13/2022] Open
Abstract
Children differ widely in their early language development, and this variability has important implications for later life outcomes. Parent language input is a strong experiential factor predicting the variability in children's early language skills. However, little is known about the brain or cognitive mechanisms that underlie the relationship. In addressing this gap, we used longitudinal data spanning 15 years to examine the role of early parental language input that children receive during preschool years in the development of brain structures that support language processing during school years. Using naturalistic parent-child interactions, we measured parental language input (amount and complexity) to children between the ages of 18 and 42 months (n = 23). We then assessed longitudinal changes in children's cortical thickness measured at five time points between 9 and 16 years of age. We focused on specific regions of interest (ROIs) that have been shown to play a role in language processing. Our results support the view that, even after accounting for important covariates such as parental intelligence quotient (IQ) and education, the amount and complexity of language input to a young child prior to school forecasts the rate of change in cortical thickness during the 7-year period from 5½ to 12½ years later. Examining the proximal correlates of change in brain and cognitive differences has the potential to inform targets for effective prevention and intervention strategies.
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Affiliation(s)
- Ö Ece Demir-Lira
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States.,DeLTA Center, University of Iowa, Iowa City, IA, United States.,Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States
| | - Salomi S Asaridou
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Collin Nolte
- Department of Biostatistics, University of Iowa, Iowa City, IA, United States
| | - Steven L Small
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, United States
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109
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Lamichhane DK, Jung DY, Shin YJ, Lee KS, Lee SY, Ahn K, Kim KW, Shin YH, Suh DI, Hong SJ, Kim HC. Association of ambient air pollution with depressive and anxiety symptoms in pregnant women: A prospective cohort study. Int J Hyg Environ Health 2021; 237:113823. [PMID: 34364017 DOI: 10.1016/j.ijheh.2021.113823] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Air pollution is associated with depressive and anxiety symptoms in the general population. However, this relationship among pregnant women remains largely unknown. OBJECTIVE To evaluate the association between pregnancy air pollution exposure and maternal depressive and anxiety symptoms during the third trimester assessed using the Center for Epidemiologic Studies-Depression and State-Trait Anxiety Inventory scales, respectively. METHODS We analyzed 1481 pregnant women from a cohort study in Seoul. Maternal exposure to particulate matter with an aerodynamic diameter <2.5 μm (PM2.5) and <10 μm (PM10), as well as to nitrogen dioxide (NO2) and ozone (O3) for each trimester and the entire pregnancy was assessed at participant's residential address by land use regression models. We estimated the relative risk (RR) and corresponding confidence interval (CI) of the depressive and anxiety symptoms associated with an interquartile range (IQR) increase in PM2.5, PM10, NO2, and O3 using modified Poisson regression. RESULTS In single-pollutant models, an IQR increase in PM2.5, PM10, and NO2 during the second trimester was associated with an increased risk of depressive symptoms (PM2.5 RR = 1.15, 95% CI: 1.04, 1.27; PM10 RR = 1.13, 95% CI: 1.04, 1.23; NO2 RR = 1.15, 95% CI: 1.03, 1.29) after adjusting for relevant covariates. Similarly, an IQR increase in O3 during the third trimester was associated with an increased risk of depressive symptoms (RR = 1.09, 95% CI: 1.01, 1.18), while the IQR increase in O3 during the first trimester was associated with a decreased risk (RR = 0.89, 95% CI: 0.82, 0.96). Exposure to PM2.5, PM10, and NO2 during the second trimester was significantly associated with anxiety symptoms. The associations with PM2.5 and O3 in single-and multi-pollutant models were consistent. CONCLUSIONS Our findings indicate that increased levels of particulate matter, NO2, and O3 during pregnancy may elevate the risk of depression or anxiety in pregnant women.
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Affiliation(s)
- Dirga Kumar Lamichhane
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Dal-Young Jung
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Yee-Jin Shin
- Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Sook Lee
- Department of Rehabilitation, Hanshin University, Gyeonggi-do, Republic of Korea
| | - So-Yeon Lee
- Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Kangmo Ahn
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Environmental Health Center for Atopic Diseases, Samsung Medical Center, Seoul, Republic of Korea
| | - Kyung Won Kim
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Youn Ho Shin
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, Republic of Korea
| | - Dong In Suh
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soo-Jong Hong
- Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea.
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110
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Hackman DA, Cserbik D, Chen JC, Berhane K, Minaravesh B, McConnell R, Herting MM. Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure. JAMA Pediatr 2021; 175:e210426. [PMID: 33938908 PMCID: PMC8094040 DOI: 10.1001/jamapediatrics.2021.0426] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/01/2021] [Indexed: 12/18/2022]
Abstract
Importance Neighborhood disadvantage is an important social determinant of health in childhood and adolescence. Less is known about the association of neighborhood disadvantage with youth neurocognition and brain structure, and particularly whether associations are similar across metropolitan areas and are attributed to local differences in disadvantage. Objective To test whether neighborhood disadvantage is associated with youth neurocognitive performance and with global and regional measures of brain structure after adjusting for family socioeconomic status and perceptions of neighborhood characteristics, and to assess whether these associations (1) are pervasive or limited, (2) vary across metropolitan areas, and (3) are attributed to local variation in disadvantage within metropolitan areas. Design, Setting, and Participants This cross-sectional study analyzed baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study, a cohort study conducted at 21 sites across the US. Participants were children aged 9.00 to 10.99 years at enrollment. They and their parent or caregiver completed a baseline visit between October 1, 2016, and October 31, 2018. Exposures Neighborhood disadvantage factor based on US census tract characteristics. Main Outcomes and Measures Neurocognition was measured with the NIH Toolbox Cognition Battery, and T1-weighted magnetic resonance imaging was used to assess whole-brain and regional measures of structure. Linear mixed-effects models examined the association between neighborhood disadvantage and outcomes after adjusting for sociodemographic factors. Results Of the 11 875 children in the ABCD Study cohort, 8598 children (72.4%) were included in this analysis. The study sample had a mean (SD) age of 118.8 (7.4) months and included 4526 boys (52.6%). Every 1-unit increase in the neighborhood disadvantage factor was associated with lower performance on 6 of 7 subtests, such as Flanker Inhibitory Control and Attention (unstandardized Β = -0.5; 95% CI, -0.7 to -0.2; false discovery rate (FDR)-corrected P = .001) and List Sorting Working Memory (unstandardized Β = -0.7; 95% CI, -1.0 to -0.3; FDR-corrected P < .001), as well as on all composite measures of neurocognition, such as the Total Cognition Composite (unstandardized Β = -0.7; 95% CI, -0.9 to -0.5; FDR-corrected P < .001). Each 1-unit increase in neighborhood disadvantage was associated with lower whole-brain cortical surface area (unstandardized Β = -692.6 mm2; 95% CI, -1154.9 to -230.4 mm2; FDR-corrected P = .007) and subcortical volume (unstandardized Β = -113.9 mm3; 95% CI, -198.5 to -29.4 mm3; FDR-corrected P = .03) as well as with regional surface area differences, primarily in the frontal, parietal, and temporal lobes. Associations largely remained after adjusting for perceptions of neighborhood safety and were both consistent across metropolitan areas and primarily explained by local variation in each area. Conclusions and Relevance This study found that, in the US, local variation in neighborhood disadvantage was associated with lower neurocognitive performance and smaller cortical surface area and subcortical volume in young people. The findings demonstrate that neighborhood disadvantage is an environmental risk factor for neurodevelopmental and population health and enhancing the neighborhood context is a promising approach to improving the health and development of children and adolescents.
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Affiliation(s)
- Daniel A. Hackman
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles
| | - Dora Cserbik
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles
- Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles
| | - Kiros Berhane
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
| | - Bita Minaravesh
- USC Dornsife Spatial Sciences Institute, University of Southern California, Los Angeles
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles
| | - Megan M. Herting
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California
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111
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Gehred MZ, Knodt AR, Ambler A, Bourassa KJ, Danese A, Elliott ML, Hogan S, Ireland D, Poulton R, Ramrakha S, Reuben A, Sison ML, Moffitt TE, Hariri AR, Caspi A. Long-term Neural Embedding of Childhood Adversity in a Population-Representative Birth Cohort Followed for 5 Decades. Biol Psychiatry 2021; 90:182-193. [PMID: 33952400 PMCID: PMC8274314 DOI: 10.1016/j.biopsych.2021.02.971] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/11/2021] [Accepted: 02/24/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Childhood adversity has been previously associated with alterations in brain structure, but heterogeneous designs, methods, and measures have contributed to mixed results and have impeded progress in mapping the biological embedding of childhood adversity. We sought to identify long-term differences in structural brain integrity associated with childhood adversity. METHODS Multiple regression was used to test associations between prospectively ascertained adversity during childhood and adversity retrospectively reported in adulthood with structural magnetic resonance imaging measures of midlife global and regional cortical thickness, cortical surface area, and subcortical gray matter volume in 861 (425 female) members of the Dunedin Study, a longitudinal investigation of a population-representative birth cohort. RESULTS Both prospectively ascertained childhood adversity and retrospectively reported adversity were associated with alterations in midlife structural brain integrity, but associations with prospectively ascertained childhood adversity were consistently stronger and more widely distributed than associations with retrospectively reported childhood adversity. Sensitivity analyses revealed that these associations were not driven by any particular adversity or category of adversity (i.e., threat or deprivation) or by childhood socioeconomic disadvantage. Network enrichment analyses revealed that these associations were not localized but were broadly distributed along a hierarchical cortical gradient of information processing. CONCLUSIONS Exposure to childhood adversity broadly is associated with widespread differences in midlife gray matter across cortical and subcortical structures, suggesting that biological embedding of childhood adversity in the brain is long lasting, but not localized. Research using retrospectively reported adversity likely underestimates the magnitude of these associations. These findings may inform future research investigating mechanisms through which adversity becomes embedded in the brain and influences mental health and cognition.
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Affiliation(s)
- Maria Z. Gehred
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Annchen R. Knodt
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Antony Ambler
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Kyle J. Bourassa
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Andrea Danese
- Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National and Specialist Child and Adolescent Mental Health Services Clinic for Trauma, Anxiety and Depression, South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Maxwell L. Elliott
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Aaron Reuben
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Maria L. Sison
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Terrie E. Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina,Center for Genomic and Computational Biology, Duke University, Durham, North Carolina,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,PROMENTA Center, University of Oslo, Norway
| | - Ahmad R. Hariri
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina,Address correspondence to Ahmad R. Hariri, Ph.D.
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina,Center for Genomic and Computational Biology, Duke University, Durham, North Carolina,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,PROMENTA Center, University of Oslo, Norway
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112
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Dong F, Calkins ME, Compton P, Medoff-Cooper B, Barzilay R, Taylor JH, Moore TM, Gur RC, Gur RE, Hodgson NA. Association between traumatic stressful events and schizotypal symptoms among a community-based sample of adolescents: A 2-year longitudinal study. Schizophr Res 2021; 233:44-51. [PMID: 34225026 DOI: 10.1016/j.schres.2021.06.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 04/30/2021] [Accepted: 06/22/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Traumatic stressful events (TSEs) are among the most studied risk factors for subsequent schizotypal symptoms. However, specificity and aggregate effects of trauma exposure on schizotypal symptoms remain unclear. This study investigates these relationships among a community-based sample of US adolescents. MATERIAL AND METHODS A sub-sample of 426 adolescents (51.6% female) from the Philadelphia Neurodevelopmental Cohort study were selected for longitudinal follow-up based on presence (n = 209) or absence (n = 217) of psychosis spectrum symptoms (PSS). At baseline, they completed assessments of demographic, TSEs, other psychopathology (e.g., PSS, anxiety, depression, and behavioral disorder) and family history of psychopathology. Schizotypal symptom dimensions (cognitive-perceptual, interpersonal and disorganized) were evaluated approximately two years later. RESULTS More than half of adolescents experienced at least one type of TSE. Adolescents with assaultive trauma reported about 1.5 times as many symptoms on all three schizotypal symptom dimensions, compared to adolescents with non-assaultive TSE, adjusting for demographic and family history variables. No statistical significance was found after further adjusting for other baseline psychopathology (p > 0.05). There was a significant aggregate effect of TSEs on cognitive-perceptual symptoms with small effect size (p < 0.001, Cohen's f2 = 0.034). CONCLUSIONS We found evidence of an association between aggregate TSEs and cognitive-perceptual symptoms, but trauma type was not associated with schizotypal symptom dimensions when controlling for potential confounders. Our findings highlight the importance of considering aggregate TSE effects and potential confounds when examining associations between TSEs and schizotypy. Trauma and psychosis spectrum screening may be important in the effort to provide trauma-informed care.
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Affiliation(s)
- Fanghong Dong
- School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA
| | - Peggy Compton
- School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Ran Barzilay
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA; Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA 19104, USA
| | - Jerome H Taylor
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA; Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA; Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia (CHOP), Philadelphia, PA 19104, USA; Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA 19104, USA
| | - Nancy A Hodgson
- School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA.
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113
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Chaiyachati BH, Gur RE. Effect of child abuse and neglect on schizophrenia and other psychotic disorders. Pharmacol Biochem Behav 2021; 206:173195. [PMID: 33961909 PMCID: PMC10961915 DOI: 10.1016/j.pbb.2021.173195] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/20/2021] [Accepted: 04/29/2021] [Indexed: 12/25/2022]
Abstract
Childhood experiences impact long-term physical and behavioral health outcomes including potential risk for schizophrenia and psychosis. Negative experiences, such as child abuse and neglect, have been specifically associated with risk for schizophrenia and psychosis. This review provides a brief overview of child abuse and neglect, including its position within the larger field of trauma and adversity and its long term consequences. The link to schizophrenia is then explored. Principles of treatment and outcomes for schizophrenia with antecedent child abuse and neglect are then reviewed. Finally, next steps and points of prevention are highlighted.
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Affiliation(s)
- Barbara H Chaiyachati
- The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The University of Pennsylvania, Lifespan Brain Institute of Penn-Medicine and CHOP, Philadelphia, PA, United States of America; The Center for Pediatric Clinical Effectiveness and Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The Leonard Davis Institute, University of Pennsylvania, Philadelphia, PA, United States of America.
| | - Raquel E Gur
- The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The University of Pennsylvania, Lifespan Brain Institute of Penn-Medicine and CHOP, Philadelphia, PA, United States of America
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114
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Anglin DM, Ereshefsky S, Klaunig MJ, Bridgwater MA, Niendam TA, Ellman LM, DeVylder J, Thayer G, Bolden K, Musket CW, Grattan RE, Lincoln SH, Schiffman J, Lipner E, Bachman P, Corcoran CM, Mota NB, van der Ven E. From Womb to Neighborhood: A Racial Analysis of Social Determinants of Psychosis in the United States. Am J Psychiatry 2021; 178:599-610. [PMID: 33934608 PMCID: PMC8655820 DOI: 10.1176/appi.ajp.2020.20071091] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The authors examine U.S.-based evidence that connects characteristics of the social environment with outcomes across the psychosis continuum, from psychotic experiences to schizophrenia. The notion that inequitable social and economic systems of society significantly influence psychosis risk through proxies, such as racial minority and immigrant statuses, has been studied more extensively in European countries. While there are existing international reviews of social determinants of psychosis, none to the authors' knowledge focus on factors in the U.S. context specifically-an omission that leaves domestic treatment development and prevention efforts incomplete and underinformed. In this review, the authors first describe how a legacy of structural racism in the United States has shaped the social gradient, highlighting consequential racial inequities in environmental conditions. The authors offer a hypothesized model linking structural racism with psychosis risk through interwoven intermediary factors based on existing theoretical models and a review of the literature. Neighborhood factors, cumulative trauma and stress, and prenatal and perinatal complications were three key areas selected for review because they reflect social and environmental conditions that may affect psychosis risk through a common pathway shaped by structural racism. The authors describe evidence showing that Black and Latino people in the United States suffer disproportionately from risk factors within these three key areas, in large part as a result of racial discrimination and social disadvantage. This broad focus on individual and community factors is intended to provide a consolidated space to review this growing body of research and to guide continued inquiries into social determinants of psychosis in U.S. contexts.
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Affiliation(s)
- Deidre M Anglin
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Sabrina Ereshefsky
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Mallory J Klaunig
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Miranda A Bridgwater
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Tara A Niendam
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Lauren M Ellman
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Jordan DeVylder
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Griffin Thayer
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Khalima Bolden
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Christie W Musket
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Rebecca E Grattan
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Sarah Hope Lincoln
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Jason Schiffman
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Emily Lipner
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Peter Bachman
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Cheryl M Corcoran
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Natália B Mota
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
| | - Els van der Ven
- Department of Psychology, City College of New York, City University of New York, New York (Anglin, Thayer); Graduate Center, City University of New York (Anglin); Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento (Ereshefsky, Niendam, Bolden, Grattan); Department of Psychology, University of Maryland, Baltimore County (Klaunig, Bridgwater, Schiffman); Department of Psychology, Temple University, Philadelphia (Ellman, Lipner); Graduate School of Social Service, Fordham University, New York (DeVylder); Department of Psychology (Musket) and Department of Psychiatry (Bachman), University of Pittsburgh, Pittsburgh; ISN Innovations, Institute for Social Neuroscience, Ivanhoe, Australia (Grattan); Department of Psychological Sciences, Case Western Reserve University, Cleveland (Lincoln); Department of Psychological Science, University of California, Irvine (Schiffman); Department of Psychiatry, Icahn School of Medicine, New York, and James J. Peters VA Medical Center, Bronx, N.Y. (Corcoran); Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil (Mota); Mailman School of Public Health, Columbia University, New York (van der Ven); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (van der Ven); Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit (VU) Amsterdam, Amsterdam (van der Ven)
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115
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Stenson AF, Michopoulos V, Stevens JS, Powers A, Jovanovic T. Sex-Specific Associations Between Trauma Exposure, Pubertal Timing, and Anxiety in Black Children. Front Hum Neurosci 2021; 15:636199. [PMID: 34239425 PMCID: PMC8258149 DOI: 10.3389/fnhum.2021.636199] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 04/20/2021] [Indexed: 11/13/2022] Open
Abstract
Recent research has linked early life stress (ELS), such as trauma exposure, with early puberty. Early puberty has also been identified as a risk factor for poor mental health outcomes. However, these two paths have primarily been examined independently. In addition, more studies have examined these associations in girls than boys, and findings for boys remain mixed. We hypothesized that early puberty (relative to peers) would be positively associated with both prior trauma exposure and concurrent anxiety symptoms. We anticipated that these associations might differ by sex. We tested these hypotheses within a cross-sectional sample of 133 8- to 13-year-old Black girls and boys with trauma exposure. The association between trauma and accelerated pubertal timing was sex-specific: it was positive for girls and negative for boys. We stratified subsequent analyses by sex. Regression analyses indicated that early puberty relative to peers predicted more anxiety symptoms for girls but not boys, after accounting for trauma exposure. A statistical mediation analysis indicated that, for girls, the positive association between trauma exposure and anxiety was partially mediated by pubertal timing. These results indicate that trauma exposure may have sex-specific effects on pubertal timing and anxiety risk in Black children. We also found that, for girls, trauma may increase risk for adverse outcomes by prompting earlier puberty, which is linked to higher anxiety. These findings are consistent with cascading effects of trauma across development, and highlight the need for further study of sex-specific mechanisms.
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Affiliation(s)
- Anaïs F. Stenson
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - Vasiliki Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
- Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States
| | - Jennifer S. Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
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116
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Abstract
Childhood socio-economic status (SES), a measure of the availability of material and social resources, is one of the strongest predictors of lifelong well-being. Here we review evidence that experiences associated with childhood SES affect not only the outcome but also the pace of brain development. We argue that higher childhood SES is associated with protracted structural brain development and a prolonged trajectory of functional network segregation, ultimately leading to more efficient cortical networks in adulthood. We hypothesize that greater exposure to chronic stress accelerates brain maturation, whereas greater access to novel positive experiences decelerates maturation. We discuss the impact of variation in the pace of brain development on plasticity and learning. We provide a generative theoretical framework to catalyse future basic science and translational research on environmental influences on brain development.
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Affiliation(s)
- Ursula A Tooley
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, USA
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Santa Fe Institute, Santa Fe, NM, USA
| | - Allyson P Mackey
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
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117
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Kraft P, Kraft B. Explaining socioeconomic disparities in health behaviours: A review of biopsychological pathways involving stress and inflammation. Neurosci Biobehav Rev 2021; 127:689-708. [PMID: 34048858 DOI: 10.1016/j.neubiorev.2021.05.019] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/12/2021] [Accepted: 05/20/2021] [Indexed: 01/29/2023]
Abstract
The purpose of this article was to explore how individuals' position in a socioeconomic hierarchy is related to health behaviours that are related to socioeconomic disparities in health. We identified research which shows that: (a) low socioeconomic status (SES) is associated with living in harsh environments, (b) harsh environments are related to increased levels of stress and inflammation, (c) stress and inflammation impact neural systems involved in self-control by sensitising the impulsive system and desensitising the reflective system, (d) the effects are inflated valuations of small immediate rewards and deflated valuations of larger delayed rewards, (e) these effects are observed as increased delay discounting, and (f) delay discounting is positively associated with practicing more unhealthy behaviours. The results are discussed within an adaptive evolutionary framework which lays out how the stress response system, and its interaction with the immune system and brain systems for decision-making and behaviours, provides the biopsychological mechanisms and regulatory shifts that make widespread conditional adaptability possible. Consequences for policy work, interventions, and future research are discussed.
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Affiliation(s)
- Pål Kraft
- Department of Psychology, University of Oslo, P.O. Box 1094, Blindern, 0317, Oslo, Norway; Department of Psychology, Bjørknes University College, Lovisenberggata 13, 0456, Oslo, Norway.
| | - Brage Kraft
- Division of Psychiatry, Diakonhjemmet Hospital, P. O. Box 23 Vinderen, 0319, Oslo, Norway.
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118
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Fani N, Stenson AF, van Rooij SJH, La Barrie DL, Jovanovic T. White matter microstructure in trauma-exposed children: Associations with pubertal stage. Dev Sci 2021; 24:e13120. [PMID: 33983665 DOI: 10.1111/desc.13120] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 03/30/2021] [Accepted: 04/13/2021] [Indexed: 11/30/2022]
Abstract
Puberty represents a critical period in maturation during which major changes in neural architecture emerge; these changes are shaped, in part, by environmental experiences, including exposure to psychological trauma. However, little is known about how trauma exposure affects white matter microstructure across pubertal stages. This was the goal of the present cross-sectional study. Forty-one male and female African-American children between ages 8-13 were recruited as part of a study of developmental trauma and received assessments of trauma exposure, including violence, and pubertal development as well as diffusion tensor imaging (DTI). Significant interactions of pubertal stage and violent trauma exposure were observed in association with a marker of white matter integrity (mean diffusivity, MD) in the corpus callosum, cingulum bundle and uncinate fasciculus. Greater violent trauma exposure was associated with lower MD in the hippocampal cingulum and uncinate fasciculus in girls, but not boys. These data from a sample of trauma-exposed children may reflect a pattern of accelerated maturation in pathways that are critical for emotion regulation as well as attention and memory processes. It appears that fronto-limbic and callosal connections are particularly sensitive to the effects of violent trauma, revealing a potential pathway through which trauma creates vulnerability for later psychiatric and neurological disorders.
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Affiliation(s)
- Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | | | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
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119
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Merz MP, Turner JD. Is early life adversity a trigger towards inflammageing? Exp Gerontol 2021; 150:111377. [PMID: 33905877 DOI: 10.1016/j.exger.2021.111377] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 04/16/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023]
Abstract
There are many 'faces' of early life adversity (ELA), such as childhood trauma, institutionalisation, abuse or exposure to environmental toxins. These have been implicated in the onset and severity of a wide range of chronic non-communicable diseases later in life. The later-life disease risk has a well-established immunological component. This raises the question as to whether accelerated immune-ageing mechanistically links early-life adversity to the lifelong health trajectory resulting in either 'poor' or 'healthy' ageing. Here we examine observational and mechanistic studies of ELA and inflammageing, highlighting common and distinct features in these two life stages. Many biological processes appear in common including reduction in telomere length, increased immunosenescence, metabolic distortions and chronic (viral) infections. We propose that ELA shapes the developing immune, endocrine and nervous system in a non-reversible way, creating a distinct phenotype with accelerated immunosenescence and systemic inflammation. We conclude that ELA might act as an accelerator for inflammageing and age-related diseases. Furthermore, we now have the tools and cohorts to be able to dissect the interaction between ELA and later life phenotype. This should, in the near future, allow us to identify the ecological and mechanistic processes that are involved in 'healthy' or accelerated immune-ageing.
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Affiliation(s)
- Myriam P Merz
- Immune Endocrine and Epigenetics Research Group, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; Faculty of Science, Technology and Medicine, University of Luxembourg, 2 avenue de Université, L-4365 Esch-sur-Alzette, Luxembourg
| | - Jonathan D Turner
- Immune Endocrine and Epigenetics Research Group, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg.
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120
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Goltermann J, Redlich R, Grotegerd D, Dohm K, Leehr EJ, Böhnlein J, Förster K, Meinert S, Enneking V, Richter M, Repple J, DeVillers I, Kloecker M, Jansen A, Krug A, Nenadić I, Brosch K, Meller T, Stein F, Schmitt S, Rietschel M, Streit F, Witt SH, Forstner AJ, Nöthen MM, Baune BT, Andlauer TFM, Kircher T, Opel N, Dannlowski U. Childhood maltreatment and cognitive functioning: the role of depression, parental education, and polygenic predisposition. Neuropsychopharmacology 2021; 46:891-899. [PMID: 32801319 PMCID: PMC8115656 DOI: 10.1038/s41386-020-00794-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/08/2020] [Accepted: 07/22/2020] [Indexed: 11/30/2022]
Abstract
Childhood maltreatment is associated with cognitive deficits that in turn have been predictive for therapeutic outcome in psychiatric patients. However, previous studies have either investigated maltreatment associations with single cognitive domains or failed to adequately control for confounders such as depression, socioeconomic environment, and genetic predisposition. We aimed to isolate the relationship between childhood maltreatment and dysfunction in diverse cognitive domains, while estimating the contribution of potential confounders to this relationship, and to investigate gene-environment interactions. We included 547 depressive disorder and 670 healthy control participants (mean age: 34.7 years, SD = 13.2). Cognitive functioning was assessed for the domains of working memory, executive functioning, processing speed, attention, memory, and verbal intelligence using neuropsychological tests. Childhood maltreatment and parental education were assessed using self-reports, and psychiatric diagnosis was based on DSM-IV criteria. Polygenic scores for depression and for educational attainment were calculated. Multivariate analysis of cognitive domains yielded significant associations with childhood maltreatment (η²p = 0.083, P < 0.001), depression (η²p = 0.097, P < 0.001), parental education (η²p = 0.085, P < 0.001), and polygenic scores for depression (η²p = 0.021, P = 0.005) and educational attainment (η²p = 0.031, P < 0.001). Each of these associations remained significant when including all of the predictors in one model. Univariate tests revealed that maltreatment was associated with poorer performance in all cognitive domains. Thus, environmental, psychopathological, and genetic risk factors each independently affect cognition. The insights of the current study may aid in estimating the potential impact of different loci of interventions for cognitive dysfunction. Future research should investigate if customized interventions, informed by individual risk profiles and related cognitive preconditions, might enhance response to therapeutic treatments.
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Affiliation(s)
- Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Joscha Böhnlein
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Marine Kloecker
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Till F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany.
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121
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Erzin G, Pries LK, van Os J, Fusar-Poli L, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Ucok A, Alptekin K, Saka MC, Arango C, O'Donovan MC, Rutten BPF, Guloksuz S. Examining the association between exposome score for schizophrenia and functioning in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. Eur Psychiatry 2021; 64:e25. [PMID: 33736735 PMCID: PMC8080213 DOI: 10.1192/j.eurpsy.2021.19] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background A cumulative environmental exposure score for schizophrenia (exposome score for schizophrenia [ES-SCZ]) may provide potential utility for risk stratification and outcome prediction. Here, we investigated whether ES-SCZ was associated with functioning in patients with schizophrenia spectrum disorder, unaffected siblings, and healthy controls. Methods This cross-sectional sample consisted of 1,261 patients, 1,282 unaffected siblings, and 1,525 healthy controls. The Global Assessment of Functioning (GAF) scale was used to assess functioning. ES-SCZ was calculated based on our previously validated method. The association between ES-SCZ and the GAF dimensions (symptom and disability) was analyzed by applying regression models in each group (patients, siblings, and controls). Additional models included polygenic risk score for schizophrenia (PRS-SCZ) as a covariate. Results ES-SCZ was associated with the GAF dimensions in patients (symptom: B = −1.53, p-value = 0.001; disability: B = −1.44, p-value = 0.001), siblings (symptom: B = −3.07, p-value < 0.001; disability: B = −2.52, p-value < 0.001), and healthy controls (symptom: B = −1.50, p-value < 0.001; disability: B = −1.31, p-value < 0.001). The results remained the same after adjusting for PRS-SCZ. The degree of associations of ES-SCZ with both symptom and disability dimensions were higher in unaffected siblings than in patients and controls. By analyzing an independent dataset (the Genetic Risk and Outcome of Psychosis study), we replicated the results observed in the patient group. Conclusions Our findings suggest that ES-SCZ shows promise for enhancing risk prediction and stratification in research practice. From a clinical perspective, ES-SCZ may aid in efforts of clinical characterization, operationalizing transdiagnostic clinical staging models, and personalizing clinical management.
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Affiliation(s)
- Gamze Erzin
- Department of Psychiatry, University of Health Sciences Ankara Diskapi Training and Research Hospital, Ankara, Turkey.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Psychiatry, UUMC Utrecht Brain Centre, University Medical Centre Utrecht, trecht University, Utrecht, The Netherlands.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Laura Fusar-Poli
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Philippe Delespaul
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.,FACT, Mondriaan Mental Health, Maastricht, The Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, UUMC Utrecht Brain Centre, University Medical Centre Utrecht, trecht University, Utrecht, The Netherlands.,Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,GGNet Mental Health, Apeldoorn, The Netherlands
| | - Bochao D Lin
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alexander L Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Berna Akdede
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Tolga Binbay
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Vesile Altınyazar
- Department of Psychiatry, Faculty of Medicine, Adnan Menderes University, Aydin, Turkey
| | - Berna Yalınçetin
- Department of Neuroscience, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Güvem Gümüş-Akay
- Department of Physiology, School of Medicine, Ankara University, Ankara, Turkey.,Brain Research Center, Ankara University, Ankara, Turkey.,Neuroscience and Neurotechnology Center of Excellence (NÖROM), Ankara, Turkey
| | - Burçin Cihan
- Department of Psychology, Middle East Technical University, Ankara, Turkey
| | - Haldun Soygür
- Turkish Federation of Schizophrenia Associations, Ankara, Turkey
| | - Halis Ulaş
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | | | | | - Marina M Mihaljevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia.,Clinic for Psychiatry Clinical Centre of Serbia, Belgrade, Serbia
| | - Sanja Andric-Petrovic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia.,Clinic for Psychiatry Clinical Centre of Serbia, Belgrade, Serbia
| | - Tijana Mirjanic
- Special Hospital for Psychiatric Disorders Kovin, Kovin, Serbia
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Julio Bobes
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Pilar A Saiz
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Maria Paz García-Portilla
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.,Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital Clínico Universitario de Valencia, INCLIVA, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Eduardo J Aguilar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital Clínico Universitario de Valencia, INCLIVA, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Jose Luis Santos
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | - Estela Jiménez-López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Instituto de Investigación Sanitaria, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Angel Carracedo
- Grupo de Medicina Genómica, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Universidad de Santiago de Compostela, Santiago de Compostela, Spain.,Fundación Pública Galega de Medicina Xenómica (SERGAS), Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Gonzalo López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Javier González-Peñas
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Nadja P Maric
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia.,Institute of Mental Health, Belgrade, Serbia
| | - Cem Atbaşoğlu
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Alp Ucok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.,Department of Neuroscience, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Meram Can Saka
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | | | - Celso Arango
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Micheal C O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
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Barzilay R, Moore TM, Calkins ME, Maliackel L, Jones JD, Boyd RC, Warrier V, Benton TD, Oquendo MA, Gur RC, Gur RE. Deconstructing the role of the exposome in youth suicidal ideation: Trauma, neighborhood environment, developmental and gender effects. Neurobiol Stress 2021; 14:100314. [PMID: 33869680 PMCID: PMC8040329 DOI: 10.1016/j.ynstr.2021.100314] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 12/28/2020] [Accepted: 03/04/2021] [Indexed: 02/06/2023] Open
Abstract
Environment (E) is pivotal in explaining variability in brain and behavior development, including suicidal ideation (SI) and behavior. It is therefore critical to systematically study relationships among environmental exposures (i.e., exposome) and suicidal phenotypes. Here, we evaluated the role of individual-level adversity and neighborhood environment and their interaction (E x E) in association with youth SI. Sample included youth (N = 7,054, ages 11–21) from the Philadelphia Neurodevelopmental Cohort, which investigated clinical phenotypes in a diverse US community population. We examined cross-sectional associations of environmental exposures with lifetime history of SI (n = 671), focusing on interactions between individual-level exposures to assaultive trauma (n = 917) and neighborhood-level socioeconomic status (SES) quantified using geocoded Census data. Models included potential confounds and overall psychopathology. Results showed that assaultive trauma was strongly associated with SI (OR = 3.3, 95%CI 2.7–4, p < .001), while low SES was not (p = .395). Both assault and low SES showed stronger association with SI in females, and in early adolescence (all E X gender/age interactions, p < .05). In traumatized youths, lower SES was associated with less SI, with no SES effects on SI in non-traumatized youths (Assault X SES interaction, Wald = 8.19, p = .004). Associations remained significant controlling for overall psychopathology. No single SES variable emerged above others to explain the moderating effect of SES. These findings may suggest a stress inoculation effect in low SES, where youths from higher SES are more impacted by the deleterious trauma-SI association. Determining which environmental factors contribute to resilience may inform population specific suicide prevention interventions. The cross-sectional study design limits causal inferences. Environment (E) is key in shaping development of suicidal ideation (SI). We integrated individual-level trauma exposure and neighborhood-level data on socioeconomic status (SES) in N=7,054 youths. Trauma was robustly associated with youth SI in our cohort, while SES had no association with SI. Only in youth with history of assaultive trauma, low SES was associated with lower SI rates (trauma by SES interaction). Results suggest a stress inoculation effect that was shown in animal models, but has not been shown in human suicide research.
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Affiliation(s)
- Ran Barzilay
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Tyler M Moore
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Monica E Calkins
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Lydia Maliackel
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Jason D Jones
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA
| | - Rhonda C Boyd
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Varun Warrier
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridgeshire, UK
| | - Tami D Benton
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Ruben C Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
| | - Raquel E Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine; The Department of Child and Adolescent Psychiatry and Behavioral Sciences, CHOP, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA, USA
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123
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Chahal R, Kirshenbaum JS, Ho TC, Mastrovito D, Gotlib IH. Greater age-related changes in white matter morphometry following early life stress: Associations with internalizing problems in adolescence. Dev Cogn Neurosci 2021; 47:100899. [PMID: 33340790 PMCID: PMC7750321 DOI: 10.1016/j.dcn.2020.100899] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 10/21/2020] [Accepted: 12/01/2020] [Indexed: 12/29/2022] Open
Abstract
Early life stress (ELS) is associated with increased risk for internalizing disorders and variations in gray matter development. It is unclear, however, whether ELS affects normative age-related changes in white matter (WM) morphology, and if such maturational differences are associated with risk for internalizing psychopathology. We conducted comprehensive interviews in a cross-sectional sample of young adolescents (N = 156; 89 F; Ages 9-14) to assess lifetime exposure to stress and objective cumulative ELS severity. We used diffusion-weighted imaging to measure WM fixel-based morphometry and tested the effects of age and ELS on WM fiber density and cross-section (FDC), and associations between WM FDC and internalizing problems. Age was positively associated with FDC in all WM tracts; greater ELS severity was related to stronger age-WM associations in several association tracts connecting the frontal lobes with limbic, parietal, and occipital regions, including bilateral superior and inferior longitudinal and uncinate fasciculi (UF). Among older adolescents with greater ELS severity, a higher UF FDC was associated with fewer internalizing problems. Greater ELS severity predicted more mature WM morphometry in tracts implicated in emotion regulation and cognitive processing. More phenotypically mature UF WM may be adaptive against internalizing psychopathology in adolescents exposed to ELS.
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Affiliation(s)
- Rajpreet Chahal
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States.
| | - Jaclyn S Kirshenbaum
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States
| | - Tiffany C Ho
- Department of Psychiatry & Behavioral Sciences and Weill Institute for Neurosciences, University of California, 401 Parnassus Avenue, San Francisco, CA, 94143, United States
| | - Dana Mastrovito
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States
| | - Ian H Gotlib
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States.
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124
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Busatto G, Rosa PG, Serpa MH, Squarzoni P, Duran FL. Psychiatric neuroimaging research in Brazil: historical overview, current challenges, and future opportunities. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2021; 43:83-101. [PMID: 32520165 PMCID: PMC7861184 DOI: 10.1590/1516-4446-2019-0757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/03/2020] [Indexed: 11/23/2022]
Abstract
The last four decades have witnessed tremendous growth in research studies applying neuroimaging methods to evaluate pathophysiological and treatment aspects of psychiatric disorders around the world. This article provides a brief history of psychiatric neuroimaging research in Brazil, including quantitative information about the growth of this field in the country over the past 20 years. Also described are the various methodologies used, the wealth of scientific questions investigated, and the strength of international collaborations established. Finally, examples of the many methodological advances that have emerged in the field of in vivo neuroimaging are provided, with discussion of the challenges faced by psychiatric research groups in Brazil, a country of limited resources, to continue incorporating such innovations to generate novel scientific data of local and global relevance.
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Affiliation(s)
- Geraldo Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Pedro G. Rosa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Mauricio H. Serpa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Paula Squarzoni
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Fabio L. Duran
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
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125
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Kershner JR. An Evolutionary Perspective of Dyslexia, Stress, and Brain Network Homeostasis. Front Hum Neurosci 2021; 14:575546. [PMID: 33551772 PMCID: PMC7859477 DOI: 10.3389/fnhum.2020.575546] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 12/18/2020] [Indexed: 12/20/2022] Open
Abstract
Evolution fuels interindividual variability in neuroplasticity, reflected in brain anatomy and functional connectivity of the expanding neocortical regions subserving reading ability. Such variability is orchestrated by an evolutionarily conserved, competitive balance between epigenetic, stress-induced, and cognitive-growth gene expression programs. An evolutionary developmental model of dyslexia, suggests that prenatal and childhood subclinical stress becomes a risk factor for dyslexia when physiological adaptations to stress promoting adaptive fitness, may attenuate neuroplasticity in the brain regions recruited for reading. Stress has the potential to blunt the cognitive-growth functions of the predominantly right hemisphere Ventral and Dorsal attention networks, which are primed with high entropic levels of synaptic plasticity, and are critical for acquiring beginning reading skills. The attentional networks, in collaboration with the stress-responsive Default Mode network, modulate the entrainment and processing of the low frequency auditory oscillations (1-8 Hz) and visuospatial orienting linked etiologically to dyslexia. Thus, dyslexia may result from positive, but costly adaptations to stress system dysregulation: protective measures that reset the stress/growth balance of processing to favor the Default Mode network, compromising development of the attentional networks. Such a normal-variability conceptualization of dyslexia is at odds with the frequent assumption that dyslexia results from a neurological abnormality. To put the normal-variability model in the broader perspective of the state of the field, a traditional evolutionary account of dyslexia is presented to stimulate discussion of the scientific merits of the two approaches.
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Affiliation(s)
- John R. Kershner
- Department of Applied Psychology, University of Toronto, Toronto, ON, Canada
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126
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Cisler JM, Herringa RJ. Posttraumatic Stress Disorder and the Developing Adolescent Brain. Biol Psychiatry 2021; 89:144-151. [PMID: 32709416 PMCID: PMC7725977 DOI: 10.1016/j.biopsych.2020.06.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/30/2020] [Accepted: 06/01/2020] [Indexed: 02/07/2023]
Abstract
Posttraumatic stress disorder (PTSD) in adolescents is common and debilitating. In contrast to adult PTSD, relatively little is known about the neurobiology of adolescent PTSD, nor about how current treatments may alter adolescent neurodevelopment to allow recovery from PTSD. Improving our understanding of biological mechanisms of adolescent PTSD, taken in the context of neurodevelopment, is crucial for developing novel and personalized treatment approaches. In this review, we highlight prevailing constructs of PTSD and current findings on these domains in adolescent PTSD. Notably, little data exist in adolescent PTSD for prominent adult PTSD constructs, including threat learning and attentional threat bias. Most work to date has examined general threat processing, emotion regulation, and their neural substrates. These studies suggest that adolescent PTSD, while phenomenologically similar to adult PTSD, shows unique neurodevelopmental substrates that may impair recovery but could also be targeted in the context of adolescent neuroplasticity to improve outcomes. Both cross-sectional and longitudinal data suggest abnormal frontolimbic development compared with typically developing youths, a pattern that may differ from resilient youths. Whether current treatments such as trauma-focused psychotherapy engage these targets and restore healthy neurodevelopment remains an open question. We end our review by highlighting emerging areas and knowledge gaps that could be addressed to better characterize the biology underlying adolescent PTSD. Emerging studies in computational modeling of decision making, caregiver-related transmission of traumatic stress, and other areas may offer new targets that could harness adolescent neurobehavioral plasticity to improve resilience and recovery for some of our most vulnerable youths.
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127
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Tollenaar MS, Beijers R, Garg E, Nguyen TTT, Lin DTS, MacIsaac JL, Shalev I, Kobor MS, Meaney MJ, O'Donnell KJ, de Weerth C. Internalizing symptoms associate with the pace of epigenetic aging in childhood. Biol Psychol 2021; 159:108021. [PMID: 33460784 DOI: 10.1016/j.biopsycho.2021.108021] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 09/25/2020] [Accepted: 01/11/2021] [Indexed: 12/23/2022]
Abstract
Childhood psychiatric symptoms may be associated with advanced biological aging. This study examined whether epigenetic age acceleration (EAA) associates with internalizing and externalizing symptoms that were prospectively collected across childhood in a longitudinal cohort study. At age 6 buccal epithelial cells from 148 children (69 girls) were collected to survey genome-wide DNA methylation. EAA was estimated using the Horvath clock. Internalizing symptoms at ages 2.5 and 4 years significantly predicted higher EAA at age 6, which in turn was significantly associated with internalizing symptoms at ages 6-10 years. Similar trends for externalizing symptoms did not reach statistical significance. These findings indicate advanced biological aging in relation to child mental health and may help better identify those at risk for lasting impairments associated with internalizing disorders.
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Affiliation(s)
| | - Roseriet Beijers
- Department of Developmental Psychology, Behavioural Science Institute, Radboud University, the Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, the Netherlands
| | - Elika Garg
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada
| | - T T Thao Nguyen
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada
| | - David T S Lin
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada
| | - Idan Shalev
- Department of Biobehavioral Health, Pennsylvania State University, PA, USA
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada; Sackler Program for Epigenetics and Neurobiology, McGill University, QC, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada; Sackler Program for Epigenetics and Neurobiology, McGill University, QC, Canada; Canadian Institute for Advanced Research, Child and Brain Development Program, Canada; Singapore Institute for Clinical Sciences, Singapore
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada; Canadian Institute for Advanced Research, Child and Brain Development Program, Canada; Yale Child Study Center & Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, USA
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, the Netherlands
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128
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Glaus J, Pointet Perizzolo V, Moser DA, Vital M, Rusconi Serpa S, Urben S, Plessen KJ, Schechter DS. Associations Between Maternal Post-traumatic Stress Disorder and Traumatic Events With Child Psychopathology: Results From a Prospective Longitudinal Study. Front Psychiatry 2021; 12:718108. [PMID: 34526924 PMCID: PMC8435628 DOI: 10.3389/fpsyt.2021.718108] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/09/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Exposure to interpersonal violence (IPV) can lead to post-traumatic stress disorder (PTSD) in mothers, and in turn adversely affect the mother-child relationship during early development, as well as the mental health of their children. Our objectives are to assess: (1) the association of maternal IPV-PTSD to child psychopathology, (2) the association of maternal IPV independently of PTSD to child psychopathology, and (3) the relationship between child exposure to violence to the psychopathology of these children. Methods: We used data from the longitudinal Geneva Early Childhood Stress Project. The sample included 64 children [mean age at Phase 1 = 2.4 (1.0-3.7) years] of mothers with or without IPV-PTSD. Data on mothers was collected during Phase 1, using the Clinical Administered PTSD Scale (CAPS), the Brief Physical and Sexual Abuse Questionnaire (BPSAQ) and the Conflict Tactics Scale (CTS2). Modules of a semi-structured diagnostic interview, and the Violence Exposure Scale were used to collect information on child at Phase 2, when children were older [mean age = 7.02 (4.7-10)]. Results: A higher CAPS score in mothers when children were toddler-age was associated with an increased risk of symptoms of attention deficit/hyperactivity disorder (ADHD; β = 0.33, p = 0.014) and PTSD in school-age children. The association between maternal IPV-PTSD and child PTSD (β = 0.48, p < 0.001) symptoms remained significant after adjustment for potential confounders. Among children, exposure to violence was associated with an increased risk of symptoms of generalized anxiety (β = 0.37, p = 0.006), major depressive (β = 0.24, p = 0.039), ADHD (β = 0.27, p = 0.040), PTSD (β = 0.52, p < 0.001), conduct (β = 0.58, p = 0.003) and oppositional defiant (β = 0.34, p = 0.032) disorders. Conclusion: Our longitudinal findings suggest that maternal IPV-PTSD during the period of child development exert an influence on the development of psychopathology in school-aged children. Mothers' IPV was associated with child psychopathology, independently of PTSD. Child lifetime exposure to violence had an additional impact on the development of psychopathology. Careful evaluation of maternal life-events is essential during early childhood to reduce the risk for the development of child psychopathology. Early efforts to curb exposure to violence in children and early intervention are both needed to reduce further risk for intergenerational transmission of trauma, violence, and related psychopathology.
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Affiliation(s)
- Jennifer Glaus
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | | | - Dominik A Moser
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Marylène Vital
- Department of Child and Adolescent Psychiatry, University of Geneva Hospitals, Geneva, Switzerland
| | | | - Sébastien Urben
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Kerstin J Plessen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Daniel S Schechter
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.,Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, United States
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129
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Chahal R, Kirshenbaum JS, Miller JG, Ho TC, Gotlib IH. Higher Executive Control Network Coherence Buffers Against Puberty-Related Increases in Internalizing Symptoms During the COVID-19 Pandemic. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:79-88. [PMID: 33097469 PMCID: PMC7455201 DOI: 10.1016/j.bpsc.2020.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 08/03/2020] [Accepted: 08/23/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Early pubertal maturation has been posited to be a biopsychosocial risk factor for the onset of internalizing psychopathology in adolescence; further, early-maturing youths exhibit heightened reactivity to stressful events. School closures and enforced social distancing, as well as health and financial uncertainties, during the COVID-19 pandemic are expected to adversely affect mental health in youths, particularly adolescents who are already at risk for experiencing emotional difficulties. The executive control network (ECN) supports cognitive processes required to successfully navigate novel challenges and regulate emotions in stressful contexts. METHODS We examined whether functional coherence of the ECN, measured using resting-state functional magnetic resonance imaging 5 years before the pandemic (T1), is a neurobiological marker of resilience to increases in the severity of internalizing symptoms during COVID-19 in adolescents who were in more advanced stages of puberty at T1 relative to their same-age peers (N = 85, 49 female). RESULTS On average, participants reported an increase in symptoms from the 3 months before pandemic to the 2 most recent weeks during the pandemic. We found that early-maturing youths exhibited greater increases in internalizing symptoms during the pandemic if their ECN coherence was low; in contrast, relative pubertal stage was not associated with changes in internalizing symptoms in adolescents with higher ECN coherence at T1. CONCLUSIONS These findings highlight the role of the functional architecture of the brain that supports executive functioning in protecting against risk factors that may exacerbate symptoms of internalizing psychopathology during periods of stress and uncertainty.
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Affiliation(s)
- Rajpreet Chahal
- Department of Psychology, Stanford University, Stanford, California.
| | | | - Jonas G Miller
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Tiffany C Ho
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, California.
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Jones JD, Boyd RC, Calkins ME, Moore TM, Ahmed A, Barzilay R, Benton TD, Gur RE, Gur RC. Association between family history of suicide attempt and neurocognitive functioning in community youth. J Child Psychol Psychiatry 2021; 62:58-65. [PMID: 32227601 PMCID: PMC7529718 DOI: 10.1111/jcpp.13239] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/09/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Suicidal behavior is highly familial. Neurocognitive deficits have been proposed as an endophenotype for suicide risk that may contribute to the familial transmission of suicide. Yet, there is a lack of research on the neurocognitive functioning of first-degree biological relatives of suicide attempters. The aim of the present study is to conduct the largest investigation to date of neurocognitive functioning in community youth with a family history of a fatal or nonfatal suicide attempt (FH). METHODS Participants aged 8-21 years from the Philadelphia Neurodevelopmental Cohort completed detailed clinical and neurocognitive evaluations. A subsample of 501 participants with a FH was matched to a comparison group of 3,006 participants without a family history of suicide attempt (no-FH) on age, sex, race, and lifetime depression. RESULTS After adjusting for multiple comparisons and including relevant clinical and demographic covariates, youth with a FH had significantly lower executive function factor scores (F[1,3432] = 6.63, p = .010) and performed worse on individual tests of attention (F[1,3382] = 7.08, p = .008) and language reasoning (F[1,3387] = 5.12, p = .024) than no-FH youth. CONCLUSIONS Youth with a FH show small differences in executive function, attention, and language reasoning compared to youth without a FH. Further research is warranted to investigate neurocognitive functioning as an endophenotype for suicide risk. Implications for the prevention and treatment of suicidal behaviors are discussed.
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Affiliation(s)
- Jason D. Jones
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rhonda C. Boyd
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Monica E. Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyler M. Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Annisa Ahmed
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ran Barzilay
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tami D. Benton
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E. Gur
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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131
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Kroll DS, Feldman DE, Wang SYA, Zhang R, Manza P, Wiers CE, Volkow ND, Wang GJ. The associations of comorbid substance use disorders and psychiatric conditions with adolescent brain structure and function: A review. J Neurol Sci 2020; 418:117099. [PMID: 32866814 PMCID: PMC9003866 DOI: 10.1016/j.jns.2020.117099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 07/15/2020] [Accepted: 08/14/2020] [Indexed: 12/30/2022]
Abstract
Adolescence is a period of rapid neural and behavioral development that often precipitates substance use, substance use disorders (SUDs), and other psychopathology. While externalizing disorders have been closely linked to SUD epidemiologically, the comorbidity of internalizing disorders and SUD is less well understood. Neuroimaging studies can be used to measure structural and functional developments in the brain that mediate the relationship between psychopathology and SUD in adolescence. Externalizing disorders and SUD are both associated with structural and functional changes in the basal ganglia and prefrontal cortex in adolescence. The neural mechanisms underlying internalizing disorders and SUD are less clear, but evidence points to involvement of the amygdala and prefrontal cortex. We also highlight independent contributions of SUD, which may vary in certain ways by the substances assessed. A deeper understanding of the neural basis of the relationship between psychopathology and SUD will allow for more informed interventions in this critical developmental stage.
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Affiliation(s)
- Danielle S Kroll
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Dana E Feldman
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Szu-Yung Ariel Wang
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA; National Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Suite 5274, Bethesda, MD 20892-9581, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, 10 Center Dr, Rm B2L124, Bethesda, MD 20892-1013, USA.
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132
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Epel ES. The geroscience agenda: Toxic stress, hormetic stress, and the rate of aging. Ageing Res Rev 2020; 63:101167. [PMID: 32979553 PMCID: PMC7520385 DOI: 10.1016/j.arr.2020.101167] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 08/20/2020] [Accepted: 08/27/2020] [Indexed: 02/06/2023]
Abstract
Geroscience offers a counterpoint to the challenged pursuit of curing diseases of aging, by focusing on slowing the biological aging process for extended healthspan earlier in life. Remarkable progress has led this field toward animal trials and the next challenge lies with translation to humans. There is an emerging number of small human trials that can take advantage of new models integrating behavioral and social factors. Understanding dynamic aging mechanisms, given the powerful social determinants of aging (Crimmins, 2020) and human variability and environmental contexts (Moffitt, 2020), will be critical. Behavioral and social factors are intrinsic to aging. Toxic stressors broadly defined can lead to stress-acceleration of aging, either directly impacting aging processes or by shaping poor behavioral health, and underlie the socioeconomic disparities of aging. In contrast, hormetic stressors, acute intermittent stressors of moderate intensity, can produce stress resilience, the ability for quick recovery and possibly rejuvenation of cells and tissues. Although health research usually examines static biomarkers, aging is reflected in dynamic ability to recover from challenges pointing to new interventions and targets for examining mechanisms. A fuller model incorporating stress resilience provides innovative biobehavioral interventions, both for bolstering response to challenges, such as COVID-19, and for improving healthspan.
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Affiliation(s)
- Elissa S Epel
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, & Center for Health and Community, University of California, 3333 California St, Ste 465, San Francisco, CA, 94122, United States.
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133
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He C, Bai Y, Wang Z, Fan D, Wang Q, Liu X, Zhang H, Zhang H, Zhang Z, Yao H, Xie C. Identification of microRNA-9 linking the effects of childhood maltreatment on depression using amygdala connectivity. Neuroimage 2020; 224:117428. [PMID: 33038536 DOI: 10.1016/j.neuroimage.2020.117428] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 09/29/2020] [Accepted: 09/30/2020] [Indexed: 01/20/2023] Open
Abstract
Childhood maltreatment (CM) is regarded as an important risk factor for major depressive disorder (MDD). However, the neural links corresponding to the process of early CM experience producing brain alterations and then leading to depression later remain unclear. To explore the neural basis of the effects of CM on MDD and the potential role of microRNA-9 (miR-9) in these processes, we recruited 40 unmedicated MDD patients and 34 healthy controls (HCs) to complete resting-state fMRI scans and peripheral blood miR-9 tests. The neural substrates of CM, miR-9, and depression, as well as their interactive effects on intrinsic amygdala functional connectivity (AFC) networks were investigated in MDD patients. Two-step mediation analysis was separately employed to explore whether AFC strength mediates the association among CM severity, miR-9 levels, and depression. A support vector classifier (SVC) model of machine learning was used to distinguish MDD patients from HCs. MDD patients showed higher miR-9 levels that were negatively correlated with CM scores and depressive severity. Overlapping effects of CM, miR-9, and depressive severity on bilateral AFC networks in MDD patients were primarily located in the prefrontal-striatum pathway and limbic system. The connection of amygdala to prefrontal-limbic circuits could mediate the effects of CM severity on the miR-9 levels, as well as the impacts of miR-9 levels on the severity of depression in MDD patients. Furthermore, the SVC model, which integrated miR-9 levels, CM severity, and AFC strength in prefrontal-limbic regions, had good power in differentiating MDD patients from HCs (accuracy 85.1%). MiR-9 may play a crucial role in the process of CM experience-produced brain changes targeting prefrontal-limbic regions and that subsequently leads to depression. The present neuroimaging-epigenetic results provide new insight into our understanding of MDD pathophysiology.
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Affiliation(s)
- Cancan He
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Ying Bai
- Department of Pharmacology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009, China
| | - Dandan Fan
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Qing Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinyi Liu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Haisan Zhang
- Department of Radiology, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China; Xinxiang Key Laboratory of Multimodal Brain Imaging, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Hongxing Zhang
- Department of Psychiatry, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China; Psychology School of Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009, China.
| | - Honghong Yao
- Department of Pharmacology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Institute of Life Sciences, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096, China.
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009, China.
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Aristizabal MJ, Anreiter I, Halldorsdottir T, Odgers CL, McDade TW, Goldenberg A, Mostafavi S, Kobor MS, Binder EB, Sokolowski MB, O'Donnell KJ. Biological embedding of experience: A primer on epigenetics. Proc Natl Acad Sci U S A 2020; 117:23261-23269. [PMID: 31624126 PMCID: PMC7519272 DOI: 10.1073/pnas.1820838116] [Citation(s) in RCA: 137] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Biological embedding occurs when life experience alters biological processes to affect later life health and well-being. Although extensive correlative data exist supporting the notion that epigenetic mechanisms such as DNA methylation underlie biological embedding, causal data are lacking. We describe specific epigenetic mechanisms and their potential roles in the biological embedding of experience. We also consider the nuanced relationships between the genome, the epigenome, and gene expression. Our ability to connect biological embedding to the epigenetic landscape in its complexity is challenging and complicated by the influence of multiple factors. These include cell type, age, the timing of experience, sex, and DNA sequence. Recent advances in molecular profiling and epigenome editing, combined with the use of comparative animal and human longitudinal studies, should enable this field to transition from correlative to causal analyses.
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Affiliation(s)
- Maria J Aristizabal
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V52 4H4, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Ina Anreiter
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Thorhildur Halldorsdottir
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Candice L Odgers
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Psychological Science, University of California, Irvine, CA 92697
- Sanford School of Public Policy, Duke University, Durham, NC 27708
| | - Thomas W McDade
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Anthropology, Northwestern University, Evanston, IL 60208
- Institute for Policy Research, Northwestern University, Evanston, IL 60208
| | - Anna Goldenberg
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Computer Science, Hospital for Sick Children, Vector Institute, University of Toronto, Toronto, ON, M5G OA4, Canada
| | - Sara Mostafavi
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Statistics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Michael S Kobor
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V52 4H4, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Elisabeth B Binder
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329
| | - Marla B Sokolowski
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada;
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Kieran J O'Donnell
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montreal, QC, H4H 1R3, Canada
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135
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Childhood violence exposure and social deprivation predict adolescent amygdala-orbitofrontal cortex white matter connectivity. Dev Cogn Neurosci 2020; 45:100849. [PMID: 32890959 PMCID: PMC7481532 DOI: 10.1016/j.dcn.2020.100849] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Childhood adversity is heterogeneous with potentially distinct dimensions of violence exposure and social deprivation. These dimensions may differentially shape emotion-based neural circuitry, such as amygdala-PFC white matter connectivity. Amygdala-orbitofrontal cortex (OFC) white matter connectivity has been linked to regulation of the amygdala's response to emotional stimuli. Using a preregistered analysis plan, we prospectively examined the effects of childhood exposure to two dimensions of adversity, violence exposure and social deprivation, on the adolescent amygdala-PFC white matter connectivity. We also reproduced the negative correlation between amygdala-PFC white matter connectivity and amygdala activation to threat faces. 183 15-17-year-olds were recruited from the Fragile Families and Child Wellbeing Study - a longitudinal, birth cohort, sample of predominantly low-income youth. Probabilistic tractography revealed that childhood violence exposure and social deprivation interacted to predict the probability of adolescent right hemisphere amygdala-OFC white matter connectivity. High violence exposure with high social deprivation related to less amygdala-OFC white matter connectivity. Violence exposure was not associated with white matter connectivity when social deprivation was at mean or low levels (i.e., relatively socially supportive contexts). Therefore, social deprivation may exacerbate the effects of childhood violence exposure on the development of white matter connections involved in emotion processing and regulation. Conversely, social support may buffer against them.
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136
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Sun Y, Fang J, Wan Y, Su P, Tao F. Association of Early-Life Adversity With Measures of Accelerated Biological Aging Among Children in China. JAMA Netw Open 2020; 3:e2013588. [PMID: 32955573 PMCID: PMC7506517 DOI: 10.1001/jamanetworkopen.2020.13588] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE A growing body of literature suggests that exposure to early-life adversity (ELA) is associated with accelerated biological aging, offering 1 mechanism through which ELA may be associated with an increased risk for age-related disease. These investigations, however, have been predominantly cross-sectional and focused on adults and females. OBJECTIVE To evaluate associations of threat-related (ie, physical abuse) and deprivation-related (ie, emotional neglect) ELA exposure with cellular and reproductive strategy metrics of biological aging among boys and girls with specific genetic backgrounds around the period of pubertal onset. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, 997 boys and girls in grade 1 to grade 3 from 3 large elementary schools were recruited from Bengbu, Anhui Province, China, and were followed up from March 21, 2016 (baseline; wave 1), for 4 consecutive years, through March 25, 2019. MAIN OUTCOMES AND MEASURES The outcome was accelerated biological aging in both cellular and reproductive strategy metrics: telomere attrition and age at thelarche (for girls) and testicular maturation (for boys). Multi-informant assessment of exposure to threat-related and deprivation-related ELA was done at baseline (wave 1) and 1-year follow-up (wave 2). The polygenic risk score (PRS) was computed based on 17 single-nucleotide variations for early pubertal timing. RESULTS Of the 997 participants (579 girls [58.1%]; mean [SD] age at baseline, 8.0 [0.8] years), 550 (55.2%) reported exposure to threat-related ELA and 443 (44.4%) reported exposure to deprivation-related ELA. Threat-related ELA was associated with onset of thelarche 2.6 months earlier and deprivation-related ELA with onset of thelarche 3.3 months earlier in exposed girls than in unexposed peers; these associations were observed only among girls with a low PRS. Among boys, a similar pattern was found. Threat-related ELA was associated with testicular volume of 4 mL or more 1.4 months earlier and deprivation-related ELA was associated with testicular volume of 4 mL or more 2.3 months earlier than in unexposed peers but only among those with a low PRS. Boys and girls with greater exposure to threats showed a significantly higher percentage of telomere length change during 1-year follow-up, but only among those with low PRS (boys: β = 1.50; 95% CI, 0.80-2.21; P < .001; girls: β = 2.40; 95% CI, 1.78-3.05; P < .001) and moderate PRS (boys: β = 1.09; 95% CI, 0.43-1.75; P = .001; and girls: β = 1.27; 95% CI, 0.77-1.77; P < .001). No associations of deprivation-related ELA with percentage of telomere length change were found. CONCLUSIONS AND RELEVANCE This study suggests that the accelerating association of ELA with biological aging might occur at an earlier age and in a genetic background-dependent and dimension-specific manner.
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Affiliation(s)
- Ying Sun
- Department of Maternal, Child and Adolescent Health, Anhui Medical University School of Public Health, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Jiao Fang
- Department of Maternal, Child and Adolescent Health, Anhui Medical University School of Public Health, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
| | - Yuhui Wan
- Department of Maternal, Child and Adolescent Health, Anhui Medical University School of Public Health, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Puyu Su
- Department of Maternal, Child and Adolescent Health, Anhui Medical University School of Public Health, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, Anhui Medical University School of Public Health, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
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137
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Abstract
The relationship between obesity and puberty remains controversial. Whereas cross-sectional and longitudinal studies show a clear shift toward earlier puberty in obese girls, the trend in obese boys remains less obvious. Overweight boys mature earlier whereas obese boys mature later compared to healthy weight boys. Newer epidemiologic studies attempt to address these knowledge gaps. This review provides a detailed overview of the recent literature regarding secular trends in pubertal onset and tempo, and the connection with obesity. Additionally, this review summarizes potential mediators that permit obesity to promote early puberty. Other factors such as socioeconomic status, in utero exposures, nutritional, and even endocrine disrupting chemicals can cause perturbation of both metabolism and the endocrine axis that can ultimately have effects on pubertal development.
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138
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Colich NL, Rosen ML, Williams ES, McLaughlin KA. Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis. Psychol Bull 2020; 146:721-764. [PMID: 32744840 DOI: 10.1037/bul0000270] [Citation(s) in RCA: 229] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Life history theory argues that exposure to early life adversity (ELA) accelerates development, although existing evidence for this varies. We present a meta-analysis and systematic review testing the hypothesis that ELA involving threat (e.g., violence exposure) will be associated with accelerated biological aging across multiple metrics, whereas exposure to deprivation (e.g., neglect, institutional rearing) and low-socioeconomic status (SES) will not. We meta-analyze 54 studies (n = 116,010) examining associations of ELA with pubertal timing and cellular aging (telomere length and DNA methylation age), systematically review 25 studies (n = 3,253) examining ELA and neural markers of accelerated development (cortical thickness and amygdala-prefrontal cortex functional connectivity) and evaluate whether associations of ELA with biological aging vary according to the nature of adversity experienced. ELA overall was associated with accelerated pubertal timing (d = -0.10) and cellular aging (d = -0.21), but these associations varied by adversity type. Moderator analysis revealed that ELA characterized by threat was associated with accelerated pubertal development (d = -0.26) and accelerated cellular aging (d = -0.43), but deprivation and SES were unrelated to accelerated development. Systematic review revealed associations between ELA and accelerated cortical thinning, with threat-related ELA consistently associated with thinning in ventromedial prefrontal cortex, and deprivation and SES associated with thinning in frontoparietal, default, and visual networks. There was no consistent association of ELA with amygdala-PFC connectivity. These findings suggest specificity in the types of early environmental experiences associated with accelerated biological aging and highlight the importance of evaluating how accelerated aging contributes to health disparities and whether this process can be mitigated through early intervention. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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139
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Stenson AF, Nugent NR, van Rooij SJH, Minton ST, Compton AB, Hinrichs R, Jovanovic T. Puberty drives fear learning during adolescence. Dev Sci 2020; 24:e13000. [PMID: 32497415 DOI: 10.1111/desc.13000] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 03/16/2020] [Accepted: 05/07/2020] [Indexed: 12/13/2022]
Abstract
Risk for adverse outcomes, including the onset of mental illness, increases during adolescence. This increase may be linked to both new exposures, such as violence at home or in the community, or to physiological changes driven by puberty. There are significant sex differences in adolescent risk, for instance, anxiety disorders are significantly more prevalent in girls than boys. Fear learning is linked to mental health and may develop during adolescence, but the role of puberty in adolescent-specific change has not yet been systematically evaluated. We conducted a longitudinal study of fear learning that tested fear-potentiated startle (FPS) in 78 children (40 girls) aged 8-16 years. Participants completed two to three visits that included a differential fear conditioning task and self-report of both pubertal status and violence exposure. We tested for effects of sex, pubertal status, and violence exposure on FPS over time with latent growth curve models. We also examined the association between FPS and later anxiety symptoms. We found significant changes in FPS to the threat cue, but not the safety cue, across visits. Higher pubertal status was significantly associated with increased FPS to threat cues at each visit, whereas sex and violence exposure were not. FPS to threat during the baseline visit also predicted later anxiety symptoms. These findings suggest that puberty drives increased fear response to threat cues similarly for girls and boys, and that this effect may not be significantly impacted by individual differences in violence exposure during early adolescence.
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Affiliation(s)
- Anaïs F Stenson
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Nicole R Nugent
- Departments of Psychiatry and Human Behavior, Pediatrics, and Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Sean T Minton
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Alisha B Compton
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Rebecca Hinrichs
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
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140
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Abstract
A burgeoning literature has recently begun investigating the links between socioeconomic inequality and the developing brain. This work suggests widespread disparities in both brain structure and function that begin as early as the first year of life. Here we review disparities in neural structure that have been reported in both cortical and subcortical gray matter, as well as in white matter. Disparities in brain function have also been reported, particularly in circuits that support language, memory, executive functioning, and emotion processing. We additionally review recent work investigating the mechanisms that underlie socioeconomic disparities in brain development. Taken together, this work has the potential to identify important targets for intervention in policy and practice.
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141
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Goetschius LG, Hein TC, Mitchell C, Lopez-Duran NL, McLoyd VC, Jeanne, McLanahan SS, Hyde LW, Monk CS. WITHDRAWN:Childhood violence exposure and social deprivation predict adolescent amygdala-orbitofrontal cortex white matter connectivity. Dev Cogn Neurosci 2020; 45:100822. [PMID: 32868265 PMCID: PMC7365931 DOI: 10.1016/j.dcn.2020.100822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 07/01/2020] [Accepted: 07/04/2020] [Indexed: 02/07/2023] Open
Abstract
This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been withdrawn at the request of the editor and publisher. The publisher regrets that an error occurred which led to the premature publication of this paper. This error bears no reflection on the article or its authors. The publisher apologizes to the authors and the readers for this unfortunate error.
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Affiliation(s)
- Leigh G Goetschius
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Tyler C Hein
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States; Serious Mental Illness Treatment Resource and Evaluation Center (SMITREC), Office of Mental Health and Suicide Prevention, Department of Veterans Affairs, United States
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, United States; Population Studies Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Nestor L Lopez-Duran
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Vonnie C McLoyd
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Jeanne
- Teachers College and The College of Physicians and Surgeons, Columbia University, 10027, United States
| | - Sara S McLanahan
- Department of Sociology, Princeton University, 08544, United States
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, United States; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, United States; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, United States.
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142
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Depression and anxiety with exposure to ozone and particulate matter: An epidemiological claims data analysis. Int J Hyg Environ Health 2020; 228:113562. [DOI: 10.1016/j.ijheh.2020.113562] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 05/09/2020] [Accepted: 05/11/2020] [Indexed: 02/07/2023]
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143
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Neurobiological consequences of racial disparities and environmental risks: a critical gap in understanding psychiatric disorders. Neuropsychopharmacology 2020; 45:1247-1250. [PMID: 32330926 PMCID: PMC7411049 DOI: 10.1038/s41386-020-0681-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 04/11/2020] [Accepted: 04/15/2020] [Indexed: 11/08/2022]
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144
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Shao Y, Ding J, He QX, Ma QR, Liu Q, Zhang C, Lv HW, Liu J. Effect of Sox10 on remyelination of the hippocampus in cuprizone-induced demyelinated mice. Brain Behav 2020; 10:e01623. [PMID: 32363773 PMCID: PMC7303379 DOI: 10.1002/brb3.1623] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 02/22/2020] [Accepted: 03/19/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE The low number of oligodendrocytes (OLs) in the hippocampus of patients with schizophrenia suggests that hippocampal demyelination is changed in this condition. Sox10 is expressed throughout OL development. The effect of Sox10 on myelin regeneration is unknown. This study aimed to analyze changes in Sox10 expression in the hippocampus and its regulatory role in hippocampal myelin regeneration in a mouse model of demyelination. METHODS Mice were fed 0.2% cuprizone (CPZ) for six weeks to establish the acute demyelinating model (CPZ mice). Behavioral changes of these mice were assessed via open field and tail suspension tests. The ultrastructure of the myelin sheaths in the hippocampus was observed by transmission electron microscopy. The expression levels of myelin sheath-related proteins and the transcription factor Sox10 were detected via immunohistochemistry and Western blots. Furthermore, Sox10-overexpressing adeno-associated virus was injected into the hippocampus after establishing the demyelinating model to investigate effects of Sox10 on remyelination. RESULTS CPZ mice showed abnormal behavioral changes, a large number of pathological changes in the myelin sheaths, and significantly reduced protein expression of the myelin sheath markers myelin basic protein and proteolipid protein. This confirmed that the demyelinating model was successfully established. Meanwhile, the protein expression of the oligodendrocyte precursor cell marker neural/glial antigen 2 (NG2) increased, whereas Sox10 expression decreased. After Sox10 overexpression in the hippocampus, the abnormal behavior was improved, the ultrastructure of the myelin sheaths was restored, and the expression of myelin sheath protein was reversed. NG2 expression was upregulated. CONCLUSION Overexpression of Sox10 promotes hippocampal remyelination after CPZ-induced acute demyelination.
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Affiliation(s)
- Yu Shao
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Juan Ding
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China.,Ningxia Key Laboratory of Cerebrocranial Diseases, Ningxia Medical University, Yinchuan, China
| | - Qian-Xiong He
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Quan-Rui Ma
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Qiang Liu
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Chun Zhang
- Ningxia Key Laboratory of Cerebrocranial Diseases, Ningxia Medical University, Yinchuan, China
| | - Hao-Wen Lv
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Juan Liu
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China.,Ningxia Key Laboratory of Cerebrocranial Diseases, Ningxia Medical University, Yinchuan, China
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145
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Closed-loop digital meditation for neurocognitive and behavioral development in adolescents with childhood neglect. Transl Psychiatry 2020; 10:153. [PMID: 32424253 PMCID: PMC7235252 DOI: 10.1038/s41398-020-0820-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/14/2020] [Accepted: 04/21/2020] [Indexed: 11/27/2022] Open
Abstract
Adverse childhood experiences are linked to poor attentive behaviors during adolescence, as well as increased risk for mental health disorders in adults. However, no study has yet tested targeted interventions to optimize neurocognitive processes in this population. Here, we investigated closed-loop digital interventions in a double-blind randomized controlled study in adolescents with childhood neglect, and evaluated the outcomes using multimodal assessments of neuroimaging, cognitive, behavioral, and academic evaluations. In the primary neuroimaging results, we demonstrate that a closed-loop digital meditation intervention can strengthen functional connectivity of the dorsal anterior cingulate cortex (dACC) in the cingulo-opercular network, which is critically developing during the adolescent period. Second, this intervention enhanced sustained attention and interference-resolution abilities, and also reduced behavioral hyperactivity at a 1-year follow-up. Superior academic performance was additionally observed in adolescents who underwent the digital meditation intervention. Finally, changes in dACC functional connectivity significantly correlated with improvements in sustained attention, hyperactivity, and academic performance. This first study demonstrates that closed-loop digital meditation practice can facilitate development of important aspects of neurocognition and real-life behaviors in adolescents with early childhood neglect.
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146
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Barzilay R. Predicting Trajectories of Risk or Resilience in Traumatized Youth. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:473-475. [PMID: 32386685 PMCID: PMC7479636 DOI: 10.1016/j.bpsc.2020.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 03/12/2020] [Indexed: 12/27/2022]
Affiliation(s)
- Ran Barzilay
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, and the Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
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147
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Service SK, Vargas Upegui C, Castaño Ramírez M, Port AM, Moore TM, Munoz Umanes M, Agudelo Arango LG, Díaz-Zuluaga AM, Melo Espejo J, López MC, Palacio JD, Ruiz Sánchez S, Valencia J, Teshiba TM, Espinoza A, Olde Loohuis L, De la Hoz Gomez J, Brodey BB, Sabatti C, Escobar JI, Reus VI, Lopez Jaramillo C, Gur RC, Bearden CE, Freimer NB. Distinct and shared contributions of diagnosis and symptom domains to cognitive performance in severe mental illness in the Paisa population: a case-control study. Lancet Psychiatry 2020; 7:411-419. [PMID: 32353276 PMCID: PMC7788266 DOI: 10.1016/s2215-0366(20)30098-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 02/25/2020] [Accepted: 02/26/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Severe mental illness diagnoses have overlapping symptomatology and shared genetic risk, motivating cross-diagnostic investigations of disease-relevant quantitative measures. We analysed relationships between neurocognitive performance, symptom domains, and diagnoses in a large sample of people with severe mental illness not ascertained for a specific diagnosis (cases), and people without mental illness (controls) from a single, homogeneous population. METHODS In this case-control study, cases with severe mental illness were ascertained through electronic medical records at Clínica San Juan de Dios de Manizales (Manizales, Caldas, Colombia) and the Hospital Universitario San Vicente Fundación (Medellín, Antioquía, Colombia). Participants were assessed for speed and accuracy using the Penn Computerized Neurocognitive Battery (CNB). Cases had structured interview-based diagnoses of schizophrenia, bipolar 1, bipolar 2, or major depressive disorder. Linear mixed models, using CNB tests as repeated measures, modelled neurocognition as a function of diagnosis, sex, and all interactions. Follow-up analyses in cases included symptom factor scores obtained from exploratory factor analysis of symptom data as main effects. FINDINGS Between Oct 1, 2017, and Nov 1, 2019, 2406 participants (1689 cases [schizophrenia n=160; bipolar 1 disorder n=519; bipolar 2 disorder n=204; and major depressive disorder n=806] and 717 controls; mean age 39 years (SD 14); and 1533 female) were assessed. Participants with bipolar 1 disorder and schizophrenia had similar impairments in accuracy and speed across cognitive domains. Participants with bipolar 2 disorder and major depressive disorder performed similarly to controls, with subtle deficits in executive and social cognition. A three-factor model (psychosis, mania, and depression) best represented symptom data. Controlling for diagnosis, premorbid IQ, and disease severity, high lifetime psychosis scores were associated with reduced accuracy and speed across cognitive domains, whereas high depression scores were associated with increased social cognition accuracy. INTERPRETATION Cross-diagnostic investigations showed that neurocognitive function in severe mental illness is characterised by two distinct profiles (bipolar 1 disorder and schizophrenia, and bipolar 2 disorder and major depressive disorder), and is associated with specific symptom domains. These results suggest the utility of this design for elucidating severe mental illness causes and trajectories. FUNDING US National Institute of Mental Health.
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Affiliation(s)
- Susan K Service
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - Allison M Port
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Marfred Munoz Umanes
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | | | | | | | | | - Johanna Valencia
- Department of Psychiatry, University of Antioquía, Medellín, Colombia
| | - Terri M Teshiba
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Alesandra Espinoza
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Loes Olde Loohuis
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Juan De la Hoz Gomez
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Chiara Sabatti
- Departments of Biomedical Data Science and Statistics, Stanford University, Stanford, CA, USA
| | - Javier I Escobar
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Victor I Reus
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Carrie E Bearden
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
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148
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Affiliation(s)
- Ned H Kalin
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison
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149
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Dotson VM, Duarte A. The importance of diversity in cognitive neuroscience. Ann N Y Acad Sci 2020; 1464:181-191. [DOI: 10.1111/nyas.14268] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 09/17/2019] [Accepted: 10/16/2019] [Indexed: 12/22/2022]
Affiliation(s)
- Vonetta M. Dotson
- Department of Psychology and the Gerontology InstituteGeorgia State University Atlanta Georgia
| | - Audrey Duarte
- Department of PsychologyGeorgia Institute of Technology Atlanta Georgia
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150
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Abstract
Epigenetic mechanisms govern the transcription of the genome. Research with model systems reveals that environmental conditions can directly influence epigenetic mechanisms that are associated with interindividual differences in gene expression in brain and neural function. In this review, we provide a brief overview of epigenetic mechanisms and research with relevant rodent models. We emphasize more recent translational research programs in epigenetics as well as the challenges inherent in the integration of epigenetics into developmental and clinical psychology. Our objectives are to present an update with respect to the translational relevance of epigenetics for the study of psychopathology and to consider the state of current research with respect to its potential importance for clinical research and practice in mental health.
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Affiliation(s)
- Kieran J O'Donnell
- Department of Psychiatry and Sackler Program for Epigenetics and Psychobiology, McGill University, Montreal, Quebec H4H 1R3, Canada; .,Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec H3H 1R4, Canada.,Child and Brain Development Program, CIFAR, Toronto, Ontario M5G 1M1, Canada
| | - Michael J Meaney
- Department of Psychiatry and Sackler Program for Epigenetics and Psychobiology, McGill University, Montreal, Quebec H4H 1R3, Canada; .,Child and Brain Development Program, CIFAR, Toronto, Ontario M5G 1M1, Canada.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 117609 Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore
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