TY - JOUR
T1 - Multivariate Patterns of Brain-Behavior-Environment Associations in the Adolescent Brain and Cognitive Development Study
AU - Modabbernia, Amirhossein
AU - Janiri, Delfina
AU - Doucet, Gaelle E.
AU - Reichenberg, Abraham
AU - Frangou, Sophia
N1 - Funding Information:
Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) study ( https://abcdstudy.org ), held in the National Institute of Mental Health Data Archive. ABCD is a multisite longitudinal study designed to recruit more than 10,000 children aged 9–10 years and follow them over 10 years into early adulthood. The ABCD study is supported by the National Institutes of Health and additional federal partners under Award Nos. U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, U24DA041147, U01DA041093, and U01DA041025. A full list of supporters is available at https://abcdstudy.org/federal-partners.html . A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/scientists/workgroups/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of the present report, which reflects the views of the authors and not necessarily the opinions or views of the National Institutes of Health or ABCD consortium investigators. The ABCD data repository grows and changes over time.
Funding Information:
This work was supported by the National Institute of Mental Health (Grant Nos. R01MH113619 and R01 MH116147 [to SF]), National Institute on Aging (Grant No. R03-AG064001 [to GED]), National Institute of General Medical Sciences (Grant No. P20GM130447 [to GED]), National Institute of Child and Human Development (Grant No. R01-HD098883 [to AR]), and National Institute of Environmental Health Sciences (Grant No. R01-ES026904 [to AR]).
Funding Information:
This work was supported by the National Institute of Mental Health (Grant Nos. R01MH113619 and R01 MH116147 [to SF]), National Institute on Aging (Grant No. R03-AG064001 [to GED]), National Institute of General Medical Sciences (Grant No. P20GM130447 [to GED]), National Institute of Child and Human Development (Grant No. R01-HD098883 [to AR]), and National Institute of Environmental Health Sciences (Grant No. R01-ES026904 [to AR]). This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai. Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) study (https://abcdstudy.org), held in the National Institute of Mental Health Data Archive. ABCD is a multisite longitudinal study designed to recruit more than 10,000 children aged 9?10 years and follow them over 10 years into early adulthood. The ABCD study is supported by the National Institutes of Health and additional federal partners under Award Nos. U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, U24DA041147, U01DA041093, and U01DA041025. A full list of supporters is available at https://abcdstudy.org/federal-partners.html. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/scientists/workgroups/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of the present report, which reflects the views of the authors and not necessarily the opinions or views of the National Institutes of Health or ABCD consortium investigators. The ABCD data repository grows and changes over time. Details regarding data access can be found at https://nda.nih.gov/abcd/request-access. The analysis code is available at https://github.com/AmirhosseinModabbernia/ABCD. The authors report no biomedical financial interests or potential conflicts of interest.
Publisher Copyright:
© 2020
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Background: Adolescence is a critical developmental stage. A key challenge is to characterize how variation in adolescent brain organization relates to psychosocial and environmental influences. Methods: We used canonical correlation analysis to discover distinct patterns of covariation between measures of brain organization (brain morphometry, intracortical myelination, white matter integrity, and resting-state functional connectivity) and individual, psychosocial, and environmental factors in a nationally representative U.S. sample of 9623 individuals (aged 9–10 years, 49% female) participating in the Adolescent Brain and Cognitive Development (ABCD) study. Results: These analyses identified 14 reliable modes of brain-behavior-environment covariation (canonical rdiscovery =.21 to.49, canonical rtest =.10 to.39, pfalse discovery rate corrected <.0001). Across modes, neighborhood environment, parental characteristics, quality of family life, perinatal history, cardiometabolic health, cognition, and psychopathology had the most consistent and replicable associations with multiple measures of brain organization; positive and negative exposures converged to form patterns of psychosocial advantage or adversity. These showed modality-general, respectively positive or negative, associations with brain structure and function with little evidence of regional specificity. Nested within these cross-modal patterns were more specific associations between prefrontal measures of morphometry, intracortical myelination, and functional connectivity with affective psychopathology, cognition, and family environment. Conclusions: We identified clusters of exposures that showed consistent modality-general associations with global measures of brain organization. These findings underscore the importance of understanding the complex and intertwined influences on brain organization and mental function during development and have the potential to inform public health policies aiming toward interventions to improve mental well-being.
AB - Background: Adolescence is a critical developmental stage. A key challenge is to characterize how variation in adolescent brain organization relates to psychosocial and environmental influences. Methods: We used canonical correlation analysis to discover distinct patterns of covariation between measures of brain organization (brain morphometry, intracortical myelination, white matter integrity, and resting-state functional connectivity) and individual, psychosocial, and environmental factors in a nationally representative U.S. sample of 9623 individuals (aged 9–10 years, 49% female) participating in the Adolescent Brain and Cognitive Development (ABCD) study. Results: These analyses identified 14 reliable modes of brain-behavior-environment covariation (canonical rdiscovery =.21 to.49, canonical rtest =.10 to.39, pfalse discovery rate corrected <.0001). Across modes, neighborhood environment, parental characteristics, quality of family life, perinatal history, cardiometabolic health, cognition, and psychopathology had the most consistent and replicable associations with multiple measures of brain organization; positive and negative exposures converged to form patterns of psychosocial advantage or adversity. These showed modality-general, respectively positive or negative, associations with brain structure and function with little evidence of regional specificity. Nested within these cross-modal patterns were more specific associations between prefrontal measures of morphometry, intracortical myelination, and functional connectivity with affective psychopathology, cognition, and family environment. Conclusions: We identified clusters of exposures that showed consistent modality-general associations with global measures of brain organization. These findings underscore the importance of understanding the complex and intertwined influences on brain organization and mental function during development and have the potential to inform public health policies aiming toward interventions to improve mental well-being.
KW - ABCD study
KW - Adolescence
KW - Environment
KW - Neurodevelopment
KW - Neuroimaging
KW - Psychopathology
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U2 - 10.1016/j.biopsych.2020.08.014
DO - 10.1016/j.biopsych.2020.08.014
M3 - Article
C2 - 33109338
AN - SCOPUS:85093951881
SN - 0006-3223
VL - 89
SP - 510
EP - 520
JO - Biological Psychiatry
JF - Biological Psychiatry
IS - 5
ER -