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Lemke J, D'Alessio AS, Briggs FBS, Bailey C. Influence of social determinants of health and adversity on computerized neurocognitive assessment. Clin Neuropsychol 2024:1-20. [PMID: 38993089 DOI: 10.1080/13854046.2024.2375801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 06/28/2024] [Indexed: 07/13/2024]
Abstract
Introduction: Social determinants of health and adversity, including poverty, maltreatment, and neighborhood deprivation, are individual-level factors that may significantly affect baseline neurocognitive testing and management that have yet to be thoroughly explored within the computerized neurocognitive assessment.Objectives: Examine individual-level experiences of poverty, abuse, neighborhood deprivation, and social mobility on computerized cognitive testing.Methods: The sample included 3,845 student-athletes who completed a baseline Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) and were enrolled in the Child-Household Integrated Longitudinal Data database. Multivariable linear regressions were used to assess independent variables of Supplemental Nutrition Assistance Program enrollment, abuse or neglect cases, Area Deprivation Index scores, and other demographic factors on four baseline ImPACT composite scores: verbal and visual memory, visuomotor, and reaction time.Results: Individual-level factors of persistent poverty and neighborhood deprivation were associated with lower composite scores; however, upward social mobility was not significantly associated with cognitive performance. The effects of mother's race on computerized cognitive testing performance were attenuated when accounting for measures of adversity.Conclusion: Findings highlight the importance of social determinants of health in computerized neurocognitive testing to ensure more culturally sensitive and precise understanding of athletic baselines.
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Affiliation(s)
- Jillian Lemke
- Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Alena Sorensen D'Alessio
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Farren B S Briggs
- Department of Public Health Sciences, Division of Epidemiology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Christopher Bailey
- Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- Department of Neurology, Case Western Reserve University School of Medicine, Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
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Cotter DL, Morrel J, Sukumaran K, Cardenas-Iniguez C, Schwartz J, Herting MM. Prenatal and childhood air pollution exposure, cellular immune biomarkers, and brain connectivity in early adolescents. Brain Behav Immun Health 2024; 38:100799. [PMID: 39021436 PMCID: PMC11252082 DOI: 10.1016/j.bbih.2024.100799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/10/2024] [Accepted: 05/21/2024] [Indexed: 07/20/2024] Open
Abstract
Introduction Ambient air pollution is a neurotoxicant with hypothesized immune-related mechanisms. Adolescent brain structural and functional connectivity may be especially vulnerable to ambient pollution due to the refinement of large-scale brain networks during this period, which vary by sex and have important implications for cognitive, behavioral, and emotional functioning. In the current study we explored associations between air pollutants, immune markers, and structural and functional connectivity in early adolescence by leveraging cross-sectional sex-stratified data from the Adolescent Brain Cognitive Development℠ Study®. Methods Pollutant concentrations of fine particulate matter, nitrogen dioxide, and ozone were assigned to each child's primary residential address during the prenatal period and childhood (9-10 years-old) using an ensemble-based modeling approach. Data collected at 11-13 years-old included resting-state functional connectivity of the default mode, frontoparietal, and salience networks and limbic regions of interest, intracellular directional and isotropic diffusion of available white matter tracts, and markers of cellular immune activation. Using partial least squares correlation, a multivariate data-driven method that identifies important variables within latent dimensions, we investigated associations between 1) pollutants and structural and functional connectivity, 2) pollutants and immune markers, and 3) immune markers and structural and functional connectivity, in each sex separately. Results Air pollution exposure was related to white matter intracellular directional and isotropic diffusion at ages 11-13 years, but the direction of associations varied by sex. There were no associations between pollutants and resting-state functional connectivity at ages 11-13 years. Childhood exposure to nitrogen dioxide was negatively correlated with white blood cell count in males. Immune biomarkers were positively correlated with white matter intracellular directional diffusion in females and both white matter intracellular directional and isotropic diffusion in males. Lastly, there was a reliable negative correlation between lymphocyte-to-monocyte ratio and default mode network resting-state functional connectivity in females, as well as a compromised immune marker profile associated with lower resting-state functional connectivity between the salience network and the left hippocampus in males. In post-hoc exploratory analyses, we found that the PLSC-identified white matter tracts and resting-state networks related to processing speed and cognitive control performance from the NIH Toolbox. Conclusions We identified novel links between childhood nitrogen dioxide and cellular immune activation in males, and brain network connectivity and immune markers in both sexes. Future research should explore the potentially mediating role of immune activity in how pollutants affect neurological outcomes as well as the potential consequences of immune-related patterns of brain connectivity in service of improved brain health for all.
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Affiliation(s)
- Devyn L. Cotter
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jessica Morrel
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kirthana Sukumaran
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Children's Hospital Los Angeles, Los Angeles, CA, USA
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Ku BS, Aberizk K, Feurer C, Yuan Q, Druss BG, Jeste DV, Walker EF. Aspects of Area Deprivation Index in Relation to Hippocampal Volume Among Children. JAMA Netw Open 2024; 7:e2416484. [PMID: 38865127 PMCID: PMC11170298 DOI: 10.1001/jamanetworkopen.2024.16484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/11/2024] [Indexed: 06/13/2024] Open
Abstract
Importance Area deprivation index (ADI) has been shown to be associated with reduced hippocampal volume (HV) among youths. The social environment may interact with the association between ADI and HV. Objective To investigate which aspects of ADI are uniquely associated with bilateral HV and whether school and family environments have moderating interactions in associations between ADI and HV. Design, Setting, and Participants This cross-sectional study used data from the Adolescent Brain and Cognitive Development (ABCD) study. Participants aged 9 and 10 years were recruited from 21 sites in the US between September 2016 and August 2018. Data analysis was performed between March 2023 and April 2024. Exposures ADI aspects were derived from participant primary home addresses provided by parents or guardians. Main Outcomes and Measures HV was automatically segmented from structural brain images ascertained from magnetic resonance imaging. Multiple generalized linear mixed modeling tested associations between 9 indices of ADI and bilateral HV, with family groups and recruitment sites as random effects. After stepwise backward selection, models were adjusted for individual-level covariates, including age, sex, race and ethnicity, parental education, household income, and estimated intracranial volume. Results This study included 10 114 participants aged 9 and 10 years (median [IQR] age, 9.92 [9.33-10.48] years; 5294 male [52.3%]; 200 Asian [2.0%], 1411 Black [14.0%], and 6655 White [65.8%]; 1959 Hispanic [19.4%]). After stepwise backward selection and adjusting for covariates, only the percentage of neighborhood-level single-parent households was associated with right HV (adjusted β per 1-SD increase in single-parent households, -0.03; 95% CI, -0.06 to -0.01; P = .01). School environment interacted with neighborhood-level single-parent households in its association with right HV (adjusted β per 1-SD increase in score, 0.02; 95% CI, 0.01 to 0.03; P = .003), such that there was an inverse association only among those at a school with the mean environment score (adjusted β per 1% increase in single-parent households, -0.03; 95% CI, -0.05 to -0.01; P = .02) and worse (-1 SD score) school environment score (adjusted β per 1% increase in single-parent households, -0.05; 95% CI, -0.09 to -0.01; P < .001) but not among those at better (+1 SD score) school environments. Conclusions and Relevance In this study, an increased percentage of neighborhood-level single-parent households was associated with reduced right HV among children in schools with the mean or worse but not better environment score. These findings suggest that longitudinal research concerning the association of neighborhood-level characteristics and school environments with hippocampal development may be warranted to better understand complex interactions between various social factors and child neurodevelopment and mental health outcomes.
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Affiliation(s)
- Benson S. Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Cope Feurer
- Department of Psychiatry, University of Illinois at Chicago
| | - Qingyue Yuan
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Benjamin G. Druss
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Dilip V. Jeste
- Global Research Network on Social Determinants of Health and Exposomics, La Jolla, California
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Park J, Lee E, Cho G, Hwang H, Kim BG, Kim G, Joo YY, Cha J. Gene-environment pathways to cognitive intelligence and psychotic-like experiences in children. eLife 2024; 12:RP88117. [PMID: 38441539 PMCID: PMC10942586 DOI: 10.7554/elife.88117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
In children, psychotic-like experiences (PLEs) are related to risk of psychosis, schizophrenia, and other mental disorders. Maladaptive cognitive functioning, influenced by genetic and environmental factors, is hypothesized to mediate the relationship between these factors and childhood PLEs. Using large-scale longitudinal data, we tested the relationships of genetic and environmental factors (such as familial and neighborhood environment) with cognitive intelligence and their relationships with current and future PLEs in children. We leveraged large-scale multimodal data of 6,602 children from the Adolescent Brain and Cognitive Development Study. Linear mixed model and a novel structural equation modeling (SEM) method that allows estimation of both components and factors were used to estimate the joint effects of cognitive phenotypes polygenic scores (PGSs), familial and neighborhood socioeconomic status (SES), and supportive environment on NIH Toolbox cognitive intelligence and PLEs. We adjusted for ethnicity (genetically defined), schizophrenia PGS, and additionally unobserved confounders (using computational confound modeling). Our findings indicate that lower cognitive intelligence and higher PLEs are significantly associated with lower PGSs for cognitive phenotypes, lower familial SES, lower neighborhood SES, and less supportive environments. Specifically, cognitive intelligence mediates the effects of these factors on PLEs, with supportive parenting and positive school environments showing the strongest impact on reducing PLEs. This study underscores the influence of genetic and environmental factors on PLEs through their effects on cognitive intelligence. Our findings have policy implications in that improving school and family environments and promoting local economic development may enhance cognitive and mental health in children.
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Affiliation(s)
- Junghoon Park
- Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National UniversitySeoulRepublic of Korea
| | - Eunji Lee
- Department of Psychology, College of Social Sciences, Seoul National UniversitySeoulRepublic of Korea
| | - Gyeongcheol Cho
- Department of Psychology, College of Arts and Sciences, The Ohio State UniversityColumbusUnited States
| | - Heungsun Hwang
- Department of Psychology, McGill UniversityMontréalCanada
| | - Bo-Gyeom Kim
- Department of Psychology, College of Social Sciences, Seoul National UniversitySeoulRepublic of Korea
| | - Gakyung Kim
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National UniversitySeoulRepublic of Korea
| | - Yoonjung Yoonie Joo
- Department of Psychology, College of Social Sciences, Seoul National UniversitySeoulRepublic of Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversitySeoulRepublic of Korea
- Samsung Medical CenterSeoulRepublic of Korea
| | - Jiook Cha
- Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National UniversitySeoulRepublic of Korea
- Department of Psychology, College of Social Sciences, Seoul National UniversitySeoulRepublic of Korea
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National UniversitySeoulRepublic of Korea
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Patel-Syed Z, Moise IK, Bulotsky-Shearer R, Price M, Becker SJ, Jensen-Doss A. Conceptualizing Neighborhood Context in Youth Psychotherapy Research. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2024:1-7. [PMID: 38407998 DOI: 10.1080/15374416.2024.2303705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Affiliation(s)
- Zabin Patel-Syed
- Department of Psychiatry and Behavioral Sciences, Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine
| | - Imelda K Moise
- Department of Geography and Sustainable Development, University of Miami
| | | | | | - Sara J Becker
- Department of Psychiatry and Behavioral Sciences, Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine
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Mummaneni A, Kardan O, Stier AJ, Chamberlain TA, Chao AF, Berman MG, Rosenberg MD. Functional brain connectivity predicts sleep duration in youth and adults. Hum Brain Mapp 2023; 44:6293-6307. [PMID: 37916784 PMCID: PMC10681648 DOI: 10.1002/hbm.26488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 08/22/2023] [Accepted: 09/04/2023] [Indexed: 11/03/2023] Open
Abstract
Sleep is critical to a variety of cognitive functions and insufficient sleep can have negative consequences for mood and behavior across the lifespan. An important open question is how sleep duration is related to functional brain organization which may in turn impact cognition. To characterize the functional brain networks related to sleep across youth and young adulthood, we analyzed data from the publicly available Human Connectome Project (HCP) dataset, which includes n-back task-based and resting-state fMRI data from adults aged 22-35 years (task n = 896; rest n = 898). We applied connectome-based predictive modeling (CPM) to predict participants' mean sleep duration from their functional connectivity patterns. Models trained and tested using 10-fold cross-validation predicted self-reported average sleep duration for the past month from n-back task and resting-state connectivity patterns. We replicated this finding in data from the 2-year follow-up study session of the Adolescent Brain Cognitive Development (ABCD) Study, which also includes n-back task and resting-state fMRI for adolescents aged 11-12 years (task n = 786; rest n = 1274) as well as Fitbit data reflecting average sleep duration per night over an average duration of 23.97 days. CPMs trained and tested with 10-fold cross-validation again predicted sleep duration from n-back task and resting-state functional connectivity patterns. Furthermore, demonstrating that predictive models are robust across independent datasets, CPMs trained on rest data from the HCP sample successfully generalized to predict sleep duration in the ABCD Study sample and vice versa. Thus, common resting-state functional brain connectivity patterns reflect sleep duration in youth and young adults.
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Affiliation(s)
| | - Omid Kardan
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Department of PsychiatryUniversity of MichiganAnn ArborMichiganUSA
| | - Andrew J. Stier
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
| | - Taylor A. Chamberlain
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Department of PsychologyColumbia UniversityNew YorkNew YorkUSA
| | - Alfred F. Chao
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
| | - Marc G. Berman
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Neuroscience InstituteThe University of ChicagoChicagoIllinoisUSA
| | - Monica D. Rosenberg
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Neuroscience InstituteThe University of ChicagoChicagoIllinoisUSA
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Harris JC, Liuzzi MT, Malames BA, Larson CL, Lisdahl KM. Differences in parent and youth perceived neighborhood threat on nucleus accumbens-frontoparietal network resting state connectivity and alcohol sipping in children enrolled in the ABCD study. Front Psychiatry 2023; 14:1237163. [PMID: 37928910 PMCID: PMC10622767 DOI: 10.3389/fpsyt.2023.1237163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/25/2023] [Indexed: 11/07/2023] Open
Abstract
Purpose Evidence has shown neighborhood threat (NT) as a social driver of emotional and brain development. Few studies have examined the relationship between NT and neural function. Altered functional connectivity in the nucleus accumbens (NAcc) with the frontoparietal network (FPN) has been implicated in the development of substance use, however, little is known about perceived NT-related brain function or downstream alcohol sipping during early adolescence. This study examined the longitudinal relationship between youth and combined youth/parent perceived NT, resting state functional connectivity (RSFC) of the NAcc-FPN, and alcohol sipping behavior during late childhood and preadolescence. Methods This study used data (N = 7,744) from baseline to 2-year follow-up (FU) of the Adolescent Brain Cognitive Development Study (ABCD; Release 4.0). Relationships between youth and combined youth/parent perceive NT, alcohol sipping (baseline to two-year FU), and NAcc-FPN (left/right) connectivity, adjusting for demographics, family/peer history of alcohol use, parental monitoring and warmth, externalizing symptoms, and site, were examined in a mediation model via PROCESS in R. Results Greater youth-reported NT at baseline was significantly associated with lower RSFC between the right (but not left) NAcc-FPN holding covariates constant (R2 = 0.01, B = -0.0019 (unstandardized), F (12, 7,731) = 8.649, p = 0.0087) and increased odds of alcohol sipping at baseline up to the two-year FU (direct effect = 0.0731, 95% CI = 0.0196, 0.1267). RSFC between the right NAcc-FPN did not significantly predict alcohol sipping at the two-year FU (b = -0.0213, SE = 0.42349, p = 0.9599; 95% CI = -0.8086, 0.8512). No significant relationships were observed for combined youth/parent report predicting alcohol sipping or NAcc-FPN connectivity. Conclusion Findings suggest notable reporting differences in NT. Combined youth/parent report did not reveal significant findings; youth perceived NT was related to increased likelihood of alcohol sipping and lower neural connectivity between the right NAcc-FPN during late childhood and early adolescence. NT context - and source of reporting - may be crucial in examining links with downstream neuronal function and health behaviors. Future research should investigate reward processing and threat as the cohort ages into later adolescence.
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Chu DY, Adluru N, Nair VA, Choi T, Adluru A, Garcia-Ramos C, Dabbs K, Mathis J, Nencka AS, Gundlach C, Conant L, Binder JR, Meyerand ME, Alexander AL, Struck AF, Hermann B, Prabhakaran V. Association of neighborhood deprivation with white matter connectome abnormalities in temporal lobe epilepsy. Epilepsia 2023; 64:2484-2498. [PMID: 37376741 PMCID: PMC10530287 DOI: 10.1111/epi.17702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 06/29/2023]
Abstract
OBJECTIVE Social determinants of health, including the effects of neighborhood disadvantage, impact epilepsy prevalence, treatment, and outcomes. This study characterized the association between aberrant white matter connectivity in temporal lobe epilepsy (TLE) and disadvantage using a US census-based neighborhood disadvantage metric, the Area Deprivation Index (ADI), derived from measures of income, education, employment, and housing quality. METHODS Participants including 74 TLE patients (47 male, mean age = 39.2 years) and 45 healthy controls (27 male, mean age = 31.9 years) from the Epilepsy Connectome Project were classified into ADI-defined low and high disadvantage groups. Graph theoretic metrics were applied to multishell connectome diffusion-weighted imaging (DWI) measurements to derive 162 × 162 structural connectivity matrices (SCMs). The SCMs were harmonized using neuroCombat to account for interscanner differences. Threshold-free network-based statistics were used for analysis, and findings were correlated with ADI quintile metrics. A decrease in cross-sectional area (CSA) indicates reduced white matter integrity. RESULTS Sex- and age-adjusted CSA in TLE groups was significantly reduced compared to controls regardless of disadvantage status, revealing discrete aberrant white matter tract connectivity abnormalities in addition to apparent differences in graph measures of connectivity and network-based statistics. When comparing broadly defined disadvantaged TLE groups, differences were at trend level. Sensitivity analyses of ADI quintile extremes revealed significantly lower CSA in the most compared to least disadvantaged TLE group. SIGNIFICANCE Our findings demonstrate (1) the general impact of TLE on DWI connectome status is larger than the association with neighborhood disadvantage; however, (2) neighborhood disadvantage, indexed by ADI, revealed modest relationships with white matter structure and integrity on sensitivity analysis in TLE. Further studies are needed to explore this relationship and determine whether the white matter relationship with ADI is driven by social drift or environmental influences on brain development. Understanding the etiology and course of the disadvantage-brain integrity relationship may serve to inform care, management, and policy for patients.
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Affiliation(s)
- Daniel Y Chu
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Nagesh Adluru
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Veena A Nair
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Timothy Choi
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Anusha Adluru
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Camille Garcia-Ramos
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kevin Dabbs
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Jedidiah Mathis
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Andrew S Nencka
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Carson Gundlach
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Lisa Conant
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jeffrey R Binder
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Mary E Meyerand
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Aaron F Struck
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- William S. Middleton Veterans Hospital, Madison, Wisconsin, USA
| | - Bruce Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Vivek Prabhakaran
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
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Harris JC, Liuzzi MT, Cardenas-Iniguez C, Larson CL, Lisdahl KM. Gray space and default mode network-amygdala connectivity. Front Hum Neurosci 2023; 17:1167786. [PMID: 37711221 PMCID: PMC10498535 DOI: 10.3389/fnhum.2023.1167786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 08/09/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction Aspects of the built environment relate to health factors and equity in living conditions, and may contribute to racial, ethnic, or economic health disparities. For example, urbanicity is linked with negative factors including exposure to gray space (e.g., impervious surfaces such as concrete, streets, or rooftops). While there is existing research on access to green space and urbanicity on some mental health and cognitive outcomes, there is limited research on the presence of gray space linked with cognitive functioning in youth. The goal of this study was to investigate the link between gray space and amygdala-default mode network (DMN) connectivity. Methods This study used data from the ABCD Study. Participants (n = 10,144; age M = 119.11 months, female = 47.62%) underwent resting-state fMRI acquisition at baseline. Impervious surfaces (gray space) were measured via the Child Opportunity Index (COI). To examine the relationship between presence of gray space and -amygdala-DMN (left/right) connectivity, we employed linear mixed effects models. Correlations were run between amygdala-DMN connectivity and internalizing and externalizing symptoms. Finally, post hoc sensitivity analyses were run to assess the impact of race. Results More gray space, adjusting for age, sex, and neighborhood-level variables, was significantly associated with increased left amygdala-DMN connectivity (p = 0.0001). This association remained significant after sensitivity analyses for race were completed (p = 0.01). No significant correlations were observed between amygdala-DMN and internalizing or externalizing symptoms. Discussion Findings suggest gray space was linked with increased left amygdala-DMN connectivity, circuits that have been implicated in affective processing, emotion regulation, and psychopathology. Thus gray space may be related to alterations in connectivity that may enhance risk for emotion dysregulation. Future investigation of these relationships is needed, as neuroimaging findings may represent early dysregulation not yet observed in the behavioral analyses at this age (i.e., the present study did not find significant relationships with parent-reported behavioral outcomes). These findings can help to inform future public policy on improving lived and built environments.
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Affiliation(s)
- Julia C. Harris
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Michael T. Liuzzi
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Christine L. Larson
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Krista M. Lisdahl
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
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Delaney SW, Hidalgo APC, White T, Haneuse S, Ressler KJ, Tiemeier H, Kubzansky LD. Behavioral and neurostructural correlates of childhood physical violence victimization: Interaction with family functioning. Dev Psychobiol 2023; 65:e22398. [PMID: 37338254 PMCID: PMC11012107 DOI: 10.1002/dev.22398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 03/15/2023] [Accepted: 04/06/2023] [Indexed: 06/21/2023]
Abstract
Violence victimization may cause child behavior problems and neurostructural differences associated with them. Healthy family environments may buffer these effects, but neural pathways explaining these associations remain inadequately understood. We used data from 3154 children (x̅age = 10.1) to test whether healthy family functioning moderated possible associations between violence victimization, behavior problems, and amygdala volume (a threat-responsive brain region). Researchers collected data on childhood violence victimization, family functioning (McMaster Family Assessment Device, range 0-3, higher scores indicate healthier functioning), and behavior problems (Achenbach Child Behavior Checklist [CBCL] total problem score, range 0-117), and they scanned children with magnetic resonance imaging. We standardized amygdala volumes and fit confounder-adjusted models with "victimization × family functioning" interaction terms. Family functioning moderated associations between victimization, behavior problems, and amygdala volume. Among lower functioning families (functioning score = 1.0), victimization was associated with a 26.1 (95% confidence interval [CI]: 9.9, 42.4) unit higher CBCL behavior problem score, yet victimized children from higher functioning families (score = 3.0) exhibited no such association. Unexpectedly, victimization was associated with higher standardized amygdala volume among lower functioning families (ŷ = 0.5; 95% CI: 0.1, 1.0) but lower volume among higher functioning families (ŷ = -0.4; 95% CI: -0.7, -0.2). Thus, healthy family environments may mitigate some neurobehavioral effects of childhood victimization.
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Affiliation(s)
- Scott W. Delaney
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Andrea P. Cortes Hidalgo
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sebastien Haneuse
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kerry J. Ressler
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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11
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Kokorikou DS, Sarigiannidis I, Fiore VG, Parkin B, Hopkins A, El-Deredy W, Dilley L, Moutoussis M. Testing hypotheses about the harm that capitalism causes to the mind and brain: a theoretical framework for neuroscience research. FRONTIERS IN SOCIOLOGY 2023; 8:1030115. [PMID: 37404338 PMCID: PMC10315660 DOI: 10.3389/fsoc.2023.1030115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 05/30/2023] [Indexed: 07/06/2023]
Abstract
In this paper, we will attempt to outline the key ideas of a theoretical framework for neuroscience research that reflects critically on the neoliberal capitalist context. We argue that neuroscience can and should illuminate the effects of neoliberal capitalism on the brains and minds of the population living under such socioeconomic systems. Firstly, we review the available empirical research indicating that the socio-economic environment is harmful to minds and brains. We, then, describe the effects of the capitalist context on neuroscience itself by presenting how it has been influenced historically. In order to set out a theoretical framework that can generate neuroscientific hypotheses with regards to the effects of the capitalist context on brains and minds, we suggest a categorization of the effects, namely deprivation, isolation and intersectional effects. We also argue in favor of a neurodiversity perspective [as opposed to the dominant model of conceptualizing neural (mal-)functioning] and for a perspective that takes into account brain plasticity and potential for change and adaptation. Lastly, we discuss the specific needs for future research as well as a frame for post-capitalist research.
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Affiliation(s)
- Danae S. Kokorikou
- Psychoanalysis Unit, Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Ioannis Sarigiannidis
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Vincenzo G. Fiore
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Beth Parkin
- Department of Psychology, School of Social Sciences, University of Westminster, London, United Kingdom
| | - Alexandra Hopkins
- Department of Psychology, Royal Holloway, University of London, London, United Kingdom
| | - Wael El-Deredy
- Centro de Investigación y Desarrollo en Ingeniería en Salud, Universidad de Valparaíso, Valparaíso, Chile
| | - Laura Dilley
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI, United States
| | - Michael Moutoussis
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
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12
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Webb EK, Cardenas-Iniguez C, Douglas R. Radically reframing studies on neurobiology and socioeconomic circumstances: A call for social justice-oriented neuroscience. Front Integr Neurosci 2022; 16:958545. [PMID: 36118113 PMCID: PMC9479322 DOI: 10.3389/fnint.2022.958545] [Citation(s) in RCA: 7] [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: 05/31/2022] [Accepted: 07/27/2022] [Indexed: 01/29/2023] Open
Abstract
Socioeconomic circumstances are associated with symptoms and diagnostic status of nearly all mental health conditions. Given these robust relationships, neuroscientists have attempted to elucidate how socioeconomic-based adversity "gets under the skin." Historically, this work emphasized individual proxies of socioeconomic position (e.g., income, education), ignoring the effects of broader socioeconomic contexts (e.g., neighborhood socioeconomic disadvantage) which may uniquely contribute to chronic stress. This omission represented a disconnect between neuroscience and other allied fields that have recognized health is undeniably linked to interactions between systems of power and individual characteristics. More recently, neuroscience work has considered how sociopolitical context affects brain structure and function; however, the products of this exciting line of research have lacked critical sociological and historical perspectives. While empirical evidence on this topic is burgeoning, the cultural, ethical, societal, and legal implications of this work have been elusive. Although the mechanisms by which socioeconomic circumstances impact brain structure and function may be similar across people, not everyone is exposed to these factors at similar rates. Individuals from ethnoracially minoritized groups are disproportionally exposed to neighborhood disadvantage. Thus, socioeconomic inequities examined in neuroscience research are undergirding with other forms of oppression, namely structural racism. We utilize a holistic, interdisciplinary approach to interpret findings from neuroscience research and interweave relevant theories from the fields of public health, social sciences, and Black feminist thought. In this perspective piece, we discuss the complex relationship that continues to exist between academic institutions and underserved surrounding communities, acknowledging the areas in which neuroscience research has historically harmed and/or excluded structurally disadvantaged communities. We conclude by envisioning how this work can be used; not just to inform policymakers, but also to engage and partner with communities and shape the future direction of human neuroscience research.
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Affiliation(s)
- E. Kate Webb
- Department of Psychology, University of Wisconsin–Milwaukee, Milwaukee, WI, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, United States
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| | - Robyn Douglas
- Department of Psychological and Behavioral Sciences, Texas A&M University, College Station, TX, United States
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13
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Ku BS, Aberizk K, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Carrión RE, Compton MT, Cornblatt BA, Druss BG, Mathalon DH, Perkins DO, Tsuang MT, Woods SW, Walker EF. The Association Between Neighborhood Poverty and Hippocampal Volume Among Individuals at Clinical High-Risk for Psychosis: The Moderating Role of Social Engagement. Schizophr Bull 2022; 48:1032-1042. [PMID: 35689540 PMCID: PMC9434451 DOI: 10.1093/schbul/sbac055] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Reductions in hippocampal volume (HV) have been associated with both prolonged exposure to stress and psychotic illness. This study sought to determine whether higher levels of neighborhood poverty would be associated with reduced HV among individuals at clinical high-risk for psychosis (CHR-P), and whether social engagement would moderate this association. This cross-sectional study included a sample of participants (N = 174, age-range = 12-33 years, 35.1% female) recruited for the second phase of the North American Prodrome Longitudinal Study. Generalized linear mixed models tested the association between neighborhood poverty and bilateral HV, as well as the moderating role of social engagement on this association. Higher levels of neighborhood poverty were associated with reduced left (β = -0.180, P = .016) and right HV (β = -0.185, P = .016). Social engagement significantly moderated the relation between neighborhood poverty and bilateral HV. In participants with lower levels of social engagement (n = 77), neighborhood poverty was associated with reduced left (β = -0.266, P = .006) and right HV (β = -0.316, P = .002). Among participants with higher levels of social engagement (n = 97), neighborhood poverty was not significantly associated with left (β = -0.010, P = .932) or right HV (β = 0.087, P = .473). In this study, social engagement moderated the inverse relation between neighborhood poverty and HV. These findings demonstrate the importance of including broader environmental influences and indices of social engagement when conceptualizing adversity and potential interventions for individuals at CHR-P.
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Affiliation(s)
- Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GAUSA
| | | | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, USA
| | | | - Tyrone D Cannon
- Department of Psychiatry, Yale University, New Haven, CTUSA
- Department of Psychology, Yale University, New Haven, CTUSA
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Michael T Compton
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, and New York State Psychiatric Institute, New York, NY, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Benjamin G Druss
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GAUSA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, and San Francisco Veterans Affairs Medical Center, San Francisco, CAUSA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CTUSA
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14
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Frndak S, Barg G, Queirolo EI, Mañay N, Colder C, Yu G, Ahmed Z, Kordas K. Do Neighborhood Factors Modify the Effects of Lead Exposure on Child Behavior? TOXICS 2022; 10:517. [PMID: 36136482 PMCID: PMC9504847 DOI: 10.3390/toxics10090517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/24/2022] [Accepted: 08/26/2022] [Indexed: 06/16/2023]
Abstract
Lead exposure and neighborhoods can affect children’s behavior, but it is unclear if neighborhood characteristics modify the effects of lead on behavior. Understanding these modifications has important intervention implications. Blood lead levels (BLLs) in children (~7 years) from Montevideo, Uruguay, were categorized at 2 µg/dL. Teachers completed two behavior rating scales (n = 455). At one-year follow-up (n = 380), caregivers reported child tantrums and parenting conflicts. Multilevel generalized linear models tested associations between BLLs and behavior, with neighborhood disadvantage, normalized difference vegetation index (NDVI), and distance to nearest greenspace as effect modifiers. No effect modification was noted for neighborhood disadvantage or NDVI. Children living nearest to greenspace with BLLs < 2 µg/dL were lower on behavior problem scales compared to children with BLLs ≥ 2 µg/dL. When furthest from greenspace, children were similar on behavior problems regardless of BLL. The probability of daily tantrums and conflicts was ~20% among children with BLLs < 2 µg/dL compared to ~45% among children with BLLs ≥ 2 µg/dL when closest to greenspace. Furthest from greenspace, BLLs were not associated with tantrums and conflicts. Effect modification of BLL on child behavior by distance to greenspace suggests that interventions should consider both greenspace access and lead exposure prevention.
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Affiliation(s)
- Seth Frndak
- Department of Epidemiology and Environmental Health, University at Buffalo—State University of New York, New York, NY 14203, USA
| | - Gabriel Barg
- Department of Neuroscience and Learning, Catholic University of Uruguay, Montevideo 11600, Uruguay
| | - Elena I. Queirolo
- Department of Neuroscience and Learning, Catholic University of Uruguay, Montevideo 11600, Uruguay
| | - Nelly Mañay
- Faculty of Chemistry, University of the Republic of Uruguay (UDELAR), Montevideo 11600, Uruguay
| | - Craig Colder
- Department of Psychology, University at Buffalo—State University of New York, New York, NY 14214, USA
| | - Guan Yu
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Zia Ahmed
- Research and Education in Energy, Environment and Water (RENEW) Institute, University at Buffalo—State University of New York, New York, NY 14260, USA
| | - Katarzyna Kordas
- Department of Epidemiology and Environmental Health, University at Buffalo—State University of New York, New York, NY 14203, USA
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15
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Rakesh D, Zalesky A, Whittle S. Assessment of Parent Income and Education, Neighborhood Disadvantage, and Child Brain Structure. JAMA Netw Open 2022; 5:e2226208. [PMID: 35980639 PMCID: PMC9389347 DOI: 10.1001/jamanetworkopen.2022.26208] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
IMPORTANCE Although different aspects of socioeconomic status (SES) may represent distinct risk factors for poor mental health in children, knowledge of their differential and synergistic associations with the brain is limited. OBJECTIVE To examine the independent associations between distinct SES factors and child brain structure. DESIGN, SETTING, AND PARTICIPANTS We used baseline data from participants aged 9 to 10 years in the Adolescent Brain Cognitive Development (ABCD) study. These data were collected from 21 US sites between September 2017 and August 2018. Study participants were recruited from schools to create a participant sample that closely reflects the US population. EXPOSURES Neighborhood disadvantage was measured using the area deprivation index. We also used data on total parent or caregiver educational attainment (in years) and household income-to-needs ratio. MAIN OUTCOMES AND MEASURES T1-weighted magnetic resonance imaging was used to assess measures of cortical thickness, surface area, and subcortical volume. RESULTS Data from 8862 ABCD participants aged 9 to 10 years were analyzed. The mean (SD) age was 119.1 (7.5) months; there were 4243 girls (47.9%) and 4619 boys (52.1%). Data on race or ethnicity were available for 8857 of 8862 participants: 173 (2.0%) were Asian, 1099 (12.4%) were Black or African American, 1688 (19.1%) were Hispanic, 4967 (56.1%) were White, and 930 (10.5%) reported multiple races or ethnicities. Using 10-fold, within-sample split-half replication, we found that neighborhood disadvantage was associated with lower cortical thickness in the following brain regions (η2 = 0.004-0.009): cuneus (B [SE] = -0.099 [0.013]; P < .001), lateral occipital (B [SE] = -0.088 [0.011]; P < .001), lateral orbitofrontal (B [SE] = -0.072 [0.012]; P < .001), lingual (B [SE] = -0.104 [0.012]; P < .001), paracentral (B [SE] = -0.086 [0.012]; P < .001), pericalcarine (B [SE] = -0.077 [0.012]; P < .001), postcentral (B [SE] = -0.069 [0.012]; P < .001), precentral (B [SE] = -0.059 [0.011]; P < .001), rostral middle frontal (B [SE] = -0.076 [0.011]; P < .001), and superior parietal (B [SE] = -0.060 [0.011]; P < .001). Exploratory analyses showed that the associations of low educational attainment or neighborhood disadvantage and low cortical thickness were attenuated in the presence of a high income-to-needs ratio (η2 = 0.003-0.007). CONCLUSIONS AND RELEVANCE The findings of this cross-sectional study suggest that different SES indicators have distinct associations with children's brain structure. A high income-to-needs ratio may play a protective role in the context of neighborhood disadvantage and low parent or caregiver educational attainment. This study highlights the importance of considering the joint associations of different SES indicators in future work.
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Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne Health, Melbourne, Victoria, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne Health, Melbourne, Victoria, Australia
- Melbourne School of Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne Health, Melbourne, Victoria, Australia
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16
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A Genetic Neural Net Model for the Relationship between Pre-School and Attention in Early Childhood. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:6451199. [PMID: 35707193 PMCID: PMC9192256 DOI: 10.1155/2022/6451199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 11/18/2022]
Abstract
This paper uses an algorithm of a genetic neural network to conduct an in-depth study and analysis of the attention relationship in pre-school education of young children. In face expression images, expression features are often concentrated and distributed in some local regions, while convolutional neural networks are homogeneous for feature extraction of facial expression images. To address the problem of the nonuniform distribution of expression features, a facial expression recognition method based on the spatial domain attention mechanism is proposed. A comparison of the differences between group and grade before the intervention using a two-way multivariate ANOVA revealed a nonsignificant interaction effect with a value of 0.90 for the group-grade interaction effect and an F-value of 0.36. The group's main effect had a value of 0.90 and an F-value of 0.36, with the experimental and control groups being equal groups on multiple dependent variables. The salient features in face expression images that are more important for facial expression recognition can be selected adaptively, and relatively high weights are assigned to these salient features. Experimental results on the image library show that the introduction of a spatial domain attention mechanism can improve the average recognition accuracy of face expressions by about 1.1% and 1.0%, respectively. A hybrid domain attention mechanism-based face expression recognition method is proposed to extract important expression features from both the spatial domain and the channel domain. Experimental results on the image library show that combining the spatial domain attention mechanism and the channel domain attention mechanism can improve the average recognition accuracy by about 2.1% and 1.5%, respectively. The use of rule games was effective in developing children's sustained and selective attention; the effect of rule games on the sustained and selective attention of older boys and girls did not show significant gender differences.
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17
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Rebello K, Moura LM, Bueno APA, Picon FA, Pan PM, Gadelha A, Miguel EC, Bressan RA, Rohde LA, Sato JR. Associations between Family Functioning and Maternal Behavior on Default Mode Network Connectivity in School-Age Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19106055. [PMID: 35627592 PMCID: PMC9141331 DOI: 10.3390/ijerph19106055] [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: 02/23/2022] [Revised: 04/16/2022] [Accepted: 05/03/2022] [Indexed: 02/04/2023]
Abstract
Background: Most early children's experiences will occur in a family context; therefore, the quality of this environment is critical for development outcomes. Not many studies have assessed the correlations between brain functional connectivity (FC) in important areas such as the default mode network (DMN) and the quality of parent-child relationships in school-age children and early adolescence. The quality of family relationships and maternal behavior have been suggested to modulate DMN FC once they act as external regulators of children's affect and behavior. Objective: We aimed to test the associations between the quality of family environment/maternal behavior and FC within the DMN of school-age children. Method: Resting-state, functional magnetic resonance imaging data, were collected from 615 children (6-12 age range) enrolled in the Brazilian High-Risk Cohort (HRC) study. We assessed DMN intra-connectivity between the medial prefrontal cortex (mPFC), posterior cingulate cortex (PCC), and inferior parietal lobule (IPL-bilateral) regions. The family functioning was assessed by levels of family cohesiveness and conflict and by maternal behavior styles such as maternal responsiveness, maternal stimulus to the child's autonomy, and maternal overprotection. The family environment was assessed with the Family Environment Scale (FES), and maternal behavior was assessed by the mother's self-report. Results: We found that the quality of the family environment was correlated with intra-DMN FC. The more conflicting the family environment was, the greater the FC between the mPFC-left IPL (lIPL), while a more cohesive family functioning was negatively correlated with FC between the PCC-lIPL. On the other hand, when moderated by a positive maternal behavior, cohesive family functioning was associated with increased FC in both regions of the DMN (mPFC-lIPL and PCC-lIPL). Conclusions: Our results highlight that the quality of the family environment might be associated with differences in the intrinsic DMN FC.
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Affiliation(s)
- Keila Rebello
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André 09210-580, Brazil; (K.R.); (L.M.M.); (A.P.A.B.)
| | - Luciana Monteiro Moura
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André 09210-580, Brazil; (K.R.); (L.M.M.); (A.P.A.B.)
- Interdisciplinary Lab for Clinical Neurosciences, Universidade Federal de São Paulo, São Paulo 04021-001, Brazil; (P.M.P.); (A.G.); (R.A.B.)
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
| | - Ana Paula Arantes Bueno
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André 09210-580, Brazil; (K.R.); (L.M.M.); (A.P.A.B.)
| | - Felipe Almeida Picon
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
- ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre 90010-150, Brazil
| | - Pedro Mario Pan
- Interdisciplinary Lab for Clinical Neurosciences, Universidade Federal de São Paulo, São Paulo 04021-001, Brazil; (P.M.P.); (A.G.); (R.A.B.)
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
| | - Ary Gadelha
- Interdisciplinary Lab for Clinical Neurosciences, Universidade Federal de São Paulo, São Paulo 04021-001, Brazil; (P.M.P.); (A.G.); (R.A.B.)
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
| | - Euripedes Constatino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
- Department of Psychiatry, School of Medicine, University of São Paulo, São Paulo 05508-070, Brazil
| | - Rodrigo Affonseca Bressan
- Interdisciplinary Lab for Clinical Neurosciences, Universidade Federal de São Paulo, São Paulo 04021-001, Brazil; (P.M.P.); (A.G.); (R.A.B.)
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
- ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre 90010-150, Brazil
| | - João Ricardo Sato
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André 09210-580, Brazil; (K.R.); (L.M.M.); (A.P.A.B.)
- Interdisciplinary Lab for Clinical Neurosciences, Universidade Federal de São Paulo, São Paulo 04021-001, Brazil; (P.M.P.); (A.G.); (R.A.B.)
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo 01060-970, Brazil; (F.A.P.); (E.C.M.); (L.A.R.)
- ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre 90010-150, Brazil
- Correspondence:
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18
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Meredith WJ, Cardenas-Iniguez C, Berman MG, Rosenberg MD. Effects of the physical and social environment on youth cognitive performance. Dev Psychobiol 2022; 64:e22258. [PMID: 35452534 DOI: 10.1002/dev.22258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 11/05/2021] [Accepted: 01/03/2022] [Indexed: 01/19/2023]
Abstract
Individual differences in children's cognitive abilities impact life and health outcomes. What factors influence these individual differences during development? Here, we test whether children's environments predict cognitive performance, independent of well-characterized socioeconomic effects. We analyzed data from 9002 9- to 10-year olds from the Adolescent Brain Cognitive Development Study, an ongoing longitudinal study with community samples across the United States. Using youth- and caregiver-report questionnaires and national database registries (e.g., neighborhood crime, walkability), we defined principal components summarizing children's home, school, neighborhood, and cultural environments. In two independent samples (ns = 3475, 5527), environmental components explained unique variance in children's general cognitive ability, executive functioning, and learning/memory abilities. Furthermore, increased neighborhood enrichment was associated with an attenuated relationship between sociodemographics and general cognitive abilities. Thus, the environment accounts for unique variance in cognitive performance in children and should be considered alongside sociodemographic factors to better understand brain functioning and behavior across development.
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Affiliation(s)
- Wesley J Meredith
- Department of Psychology, University of Chicago, Chicago, Illinois, USA.,Department of Psychology, University of California, Los Angeles, California, USA
| | | | - Marc G Berman
- Department of Psychology, University of Chicago, Chicago, Illinois, USA.,Neuroscience Institute, University of Chicago, Chicago, Illinois, USA
| | - Monica D Rosenberg
- Department of Psychology, University of Chicago, Chicago, Illinois, USA.,Neuroscience Institute, University of Chicago, Chicago, Illinois, USA
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19
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Vargas TG, Damme KSF, Mittal VA. Differentiating distinct and converging neural correlates of types of systemic environmental exposures. Hum Brain Mapp 2022; 43:2232-2248. [PMID: 35064714 PMCID: PMC8996350 DOI: 10.1002/hbm.25783] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/13/2021] [Accepted: 12/28/2021] [Indexed: 11/12/2022] Open
Abstract
Systemic environmental disadvantage relates to a host of health and functional outcomes. Specific structural factors have seldom been linked to neural structure, however, clouding understanding of putative mechanisms. Examining relations during childhood/preadolescence, a dynamic period of neurodevelopment, could aid bridge this gap. A total of 10,213 youth were recruited from the Adolescent Brain and Cognitive Development study. Self-report and objective measures (Census and Federal bureau of investigation metrics extracted using geocoding) of environmental exposures were used, including stimulation indexing lack of safety and high attentional demands, discrepancy indexing social exclusion/lack of belonging, and deprivation indexing lack of environmental enrichment. Environmental measures were related to cortical thickness, surface area, and subcortical volume regions, controlling for other environmental exposures and accounting for other brain regions. Self-report (|β| = .04-.09) and objective (|β| = .02-.06) environmental domains related to area/thickness in overlapping (e.g., insula, caudal anterior cingulate), and unique regions (e.g., for discrepancy, rostral anterior and isthmus cingulate, implicated in socioemotional functions; for stimulation, precuneus, critical for cue reactivity and integration of environmental cues; and for deprivation, superior frontal, integral to executive functioning). For stimulation and discrepancy exposures, self-report and objective measures showed similarities in correlate regions, while deprivation exposures evidenced distinct correlates for self-report and objective measures. Results represent a necessary step toward broader work aimed at establishing mechanisms and correlates of structural disadvantage, highlighting the relevance of going beyond aggregate models by considering types of environmental factors, and the need to incorporate both subjective and objective measurements in these efforts.
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Affiliation(s)
- Teresa G. Vargas
- Department of PsychologyNorthwestern UniversityEvanstonIllinoisUSA
| | | | - Vijay A. Mittal
- Department of PsychologyNorthwestern UniversityEvanstonIllinoisUSA
- Department of PsychiatryNorthwestern UniversityEvanstonIllinoisUSA
- Department of Medical Social SciencesNorthwestern UniversityEvanstonIllinoisUSA
- Institute for Innovations in Developmental SciencesNorthwestern UniversityEvanstonIllinoisUSA
- Institute for Policy ResearchNorthwestern UniversityEvanstonIllinoisUSA
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20
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Hyde LW, Gard AM, Tomlinson RC, Suarez GL, Westerman HE. Parents, neighborhoods, and the developing brain. CHILD DEVELOPMENT PERSPECTIVES 2022. [DOI: 10.1111/cdep.12453] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Luke W. Hyde
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
| | - Arianna M. Gard
- University of Maryland Department of Psychology College Park Maryland USA
| | - Rachel C. Tomlinson
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
| | - Gabriela L. Suarez
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
| | - Heidi E. Westerman
- University of Michigan Department of Psychology and Institute for Social Research Ann Arbor Michigan USA
- University of Maryland Department of Psychology College Park Maryland USA
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21
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Taylor BK, Frenzel MR, Eastman JA, Embury CM, Agcaoglu O, Wang YP, Stephen JM, Calhoun VD, Wilson TW. Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence. Neuroimage 2022; 247:118852. [PMID: 34954025 PMCID: PMC8822500 DOI: 10.1016/j.neuroimage.2021.118852] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 12/01/2021] [Accepted: 12/21/2021] [Indexed: 11/23/2022] Open
Abstract
Adolescence is a critical period of structural and functional neural maturation among regions serving the cognitive control of emotion. Evidence suggests that this process is guided by developmental changes in amygdala and striatum structure and shifts in functional connectivity between subcortical (SC) and cognitive control (CC) networks. Herein, we investigate the extent to which such developmental shifts in structure and function reciprocally predict one another over time. 179 youth (9-15 years-old) completed annual MRI scans for three years. Amygdala and striatum volumes and connectivity within and between SC and CC resting state networks were measured for each year. We tested for reciprocal predictability of within-person and between-person changes in structure and function using random-intercept cross-lagged panel models. Within-person shifts in amygdala volumes in a given year significantly and specifically predicted deviations in SC-CC connectivity in the following year, such that an increase in volume was associated with decreased SC-CC connectivity the following year. Deviations in connectivity did not predict changes in amygdala volumes over time. Conversely, broader group-level shifts in SC-CC connectivity were predictive of subsequent deviations in striatal volumes. We did not see any cross-predictability among amygdala or striatum volumes and within-network connectivity measures. Within-person shifts in amygdala structure year-to-year robustly predicted weaker SC-CC connectivity in subsequent years, whereas broader increases in SC-CC connectivity predicted smaller striatal volumes over time. These specific structure function relationships may contribute to the development of emotional control across adolescence.
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Affiliation(s)
- Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA.
| | - Michaela R Frenzel
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Jacob A Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Christine M Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Psychology, University of Nebraska at Omaha, Omaha, NE, USA
| | - Oktay Agcaoglu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | | | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA; Mind Research Network, Albuquerque, NM, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA
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22
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Hackman DA, Duan L, McConnell EE, Lee WJ, Beak AS, Kraemer DJM. School Climate, Cortical Structure, and Socioemotional Functioning: Associations across Family Income Levels. J Cogn Neurosci 2022; 34:1842-1865. [PMID: 35171285 DOI: 10.1162/jocn_a_01833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
School climates are important for children's socioemotional development and may also serve as protective factors in the context of adversity. Nevertheless, little is known about the potential neural mechanisms of such associations, as there has been limited research concerning the relation between school climate and brain structure, particularly for brain regions relevant for mental health and socioemotional functioning. Moreover, it remains unclear whether the role of school climate differs depending on children's socioeconomic status. We addressed these questions in baseline data for 9- to 10-year-olds from the Adolescent Brain and Cognitive Development study (analytic sample for socioemotional outcomes, n = 8,887), conducted at 21 sites across the United States. Cortical thickness, cortical surface area, and subcortical volume were derived from T1-weighted brain magnetic resonance imaging. School climate was measured by youth report, and socioemotional functioning was measured by both youth and parent report. A positive school climate and higher family income were associated with lower internalizing and externalizing symptoms, with no evidence of moderation. There were no associations between school climate and cortical thickness or subcortical volume, although family income was positively associated with hippocampal volume. For cortical surface area, however, there was both a positive association with family income and moderation: There was an interaction between school climate and income for total cortical surface area and locally in the lateral orbitofrontal cortex. In all cases, there was an unexpected negative association between school climate and cortical surface area in the lower-income group. Consequently, although the school climate appears to be related to better socioemotional function for all youth, findings suggest that the association between a positive school environment and brain structure only emerges in the context of socioeconomic stress and adversity. Longitudinal data are needed to understand the role of these neural differences in socioemotional functioning over time.
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Affiliation(s)
| | - Lei Duan
- University of Southern California, Los Angeles
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23
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Goyal N, Moraczewski D, Bandettini PA, Finn ES, Thomas AG. The positive-negative mode link between brain connectivity, demographics and behaviour: a pre-registered replication of Smith et al. (2015). ROYAL SOCIETY OPEN SCIENCE 2022; 9:201090. [PMID: 35186306 PMCID: PMC8847886 DOI: 10.1098/rsos.201090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to mental health disorders. Recently, a family of data-driven analyses have provided such reliable measures when applied to large, population-level datasets. In the current pre-registered replication study, we show that the canonical correlation analysis (CCA) methods previously developed using resting-state magnetic resonance imaging functional connectivity and subject measures (SMs) of cognition and behaviour from healthy adults are also effective in measuring well-being (a 'positive-negative axis') in an independent developmental dataset. Our replication was successful in two out of three of our pre-registered criteria, such that a primary CCA mode's weights displayed a significant positive relationship and explained a significant amount of variance in both functional connectivity and SMs. The only criterion that was not successful was that compared to other modes the magnitude of variance explained by the primary CCA mode was smaller than predicted, a result that could indicate a developmental trajectory of a primary mode. This replication establishes a signature neurotypical relationship between connectivity and phenotype, opening new avenues of research in neuroscience with clear clinical applications.
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Affiliation(s)
- Nikhil Goyal
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Dustin Moraczewski
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Peter A. Bandettini
- Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, USA
| | - Emily S. Finn
- Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, USA
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Adam G. Thomas
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
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24
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DeJoseph ML, Herzberg MP, Sifre RD, Berry D, Thomas KM. Measurement matters: An individual differences examination of family socioeconomic factors, latent dimensions of children's experiences, and resting state functional brain connectivity in the ABCD sample. Dev Cogn Neurosci 2022; 53:101043. [PMID: 34915436 PMCID: PMC8683693 DOI: 10.1016/j.dcn.2021.101043] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 11/22/2021] [Accepted: 12/02/2021] [Indexed: 12/15/2022] Open
Abstract
The variation in experiences between high and low-socioeconomic status contexts are posited to play a crucial role in shaping the developing brain and may explain differences in child outcomes. Yet, examinations of SES and brain development have largely been limited to distal proxies of these experiences (e.g., income comparisons). The current study sought to disentangle the effects of multiple socioeconomic indices and dimensions of more proximal experiences on resting-state functional connectivity (rsFC) in a sample of 7834 youth (aged 9-10 years) from the Adolescent Brain Cognitive Development (ABCD) study. We applied moderated nonlinear factor analysis (MNLFA) to establish measurement invariance among three latent environmental dimensions of experience (material/economic deprivation, caregiver social support, and psychosocial threat). Results revealed measurement biases as a function of child age, sex, racial group, family income, and parental education, which were statistically adjusted in the final MNLFA scores. Mixed-effects models demonstrated that socioeconomic indices and psychosocial threat differentially predicted variation in frontolimbic networks, and threat statistically moderated the association between income and connectivity between the dorsal and ventral attention networks. Findings illuminate the importance of reducing measurement biases to gain a more socioculturally-valid understanding of the complex and nuanced links between socioeconomic context, children's experiences, and neurodevelopment.
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Affiliation(s)
| | - Max P Herzberg
- Institute of Child Development, University of Minnesota, USA; Department of Psychiatry, Washington University School of Medicine, USA.
| | - Robin D Sifre
- Institute of Child Development, University of Minnesota, USA.
| | - Daniel Berry
- Institute of Child Development, University of Minnesota, USA.
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25
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Sripada C, Angstadt M, Taxali A, Kessler D, Greathouse T, Rutherford S, Clark DA, Hyde LW, Weigard A, Brislin SJ, Hicks B, Heitzeg M. Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds. Transl Psychiatry 2021; 11:575. [PMID: 34753911 PMCID: PMC8578613 DOI: 10.1038/s41398-021-01708-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/18/2021] [Accepted: 10/26/2021] [Indexed: 12/14/2022] Open
Abstract
Convergent research identifies a general factor ("P factor") that confers transdiagnostic risk for psychopathology. Large-scale networks are key organizational units of the human brain. However, studies of altered network connectivity patterns associated with the P factor are limited, especially in early adolescence when most mental disorders are first emerging. We studied 11,875 9- and 10-year olds from the Adolescent Brain and Cognitive Development (ABCD) study, of whom 6593 had high-quality resting-state scans. Network contingency analysis was used to identify altered interconnections associated with the P factor among 16 large-scale networks. These connectivity changes were then further characterized with quadrant analysis that quantified the directionality of P factor effects in relation to neurotypical patterns of positive versus negative connectivity across connections. The results showed that the P factor was associated with altered connectivity across 28 network cells (i.e., sets of connections linking pairs of networks); pPERMUTATION values < 0.05 FDR-corrected for multiple comparisons. Higher P factor scores were associated with hypoconnectivity within default network and hyperconnectivity between default network and multiple control networks. Among connections within these 28 significant cells, the P factor was predominantly associated with "attenuating" effects (67%; pPERMUTATION < 0.0002), i.e., reduced connectivity at neurotypically positive connections and increased connectivity at neurotypically negative connections. These results demonstrate that the general factor of psychopathology produces attenuating changes across multiple networks including default network, involved in spontaneous responses, and control networks involved in cognitive control. Moreover, they clarify mechanisms of transdiagnostic risk for psychopathology and invite further research into developmental causes of distributed attenuated connectivity.
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Affiliation(s)
- Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Aman Taxali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Daniel Kessler
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
| | | | - Saige Rutherford
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - D Angus Clark
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Alex Weigard
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Sarah J Brislin
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Brian Hicks
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mary Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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26
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Sripada C, Angstadt M, Taxali A, Clark DA, Greathouse T, Rutherford S, Dickens JR, Shedden K, Gard AM, Hyde LW, Weigard A, Heitzeg M. Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth. Transl Psychiatry 2021; 11:571. [PMID: 34750359 PMCID: PMC8575890 DOI: 10.1038/s41398-021-01704-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/18/2021] [Accepted: 10/25/2021] [Indexed: 12/14/2022] Open
Abstract
General cognitive ability (GCA) is an individual difference dimension linked to important academic, occupational, and health-related outcomes and its development is strongly linked to differences in socioeconomic status (SES). Complex abilities of the human brain are realized through interconnections among distributed brain regions, but brain-wide connectivity patterns associated with GCA in youth, and the influence of SES on these connectivity patterns, are poorly understood. The present study examined functional connectomes from 5937 9- and 10-year-olds in the Adolescent Brain Cognitive Development (ABCD) multi-site study. Using multivariate predictive modeling methods, we identified whole-brain functional connectivity patterns linked to GCA. In leave-one-site-out cross-validation, we found these connectivity patterns exhibited strong and statistically reliable generalization at 19 out of 19 held-out sites accounting for 18.0% of the variance in GCA scores (cross-validated partial η2). GCA-related connections were remarkably dispersed across brain networks: across 120 sets of connections linking pairs of large-scale networks, significantly elevated GCA-related connectivity was found in 110 of them, and differences in levels of GCA-related connectivity across brain networks were notably modest. Consistent with prior work, socioeconomic status was a strong predictor of GCA in this sample, and we found that distributed GCA-related brain connectivity patterns significantly statistically mediated this relationship (mean proportion mediated: 15.6%, p < 2 × 10-16). These results demonstrate that socioeconomic status and GCA are related to broad and diffuse differences in functional connectivity architecture during early adolescence, potentially suggesting a mechanism through which socioeconomic status influences cognitive development.
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Affiliation(s)
- Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Mike Angstadt
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Aman Taxali
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - D. Angus Clark
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Tristan Greathouse
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Saige Rutherford
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Joseph R. Dickens
- grid.214458.e0000000086837370Department of Statistics, University of Michigan, Ann Arbor, MI USA
| | - Kerby Shedden
- grid.214458.e0000000086837370Department of Statistics, University of Michigan, Ann Arbor, MI USA
| | - Arianna M. Gard
- grid.164295.d0000 0001 0941 7177Department of Psychology and Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, MD USA
| | - Luke W. Hyde
- grid.214458.e0000000086837370Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI USA
| | - Alexander Weigard
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Mary Heitzeg
- grid.214458.e0000000086837370Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
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