Identifying profiles of brain structure and associations with current and future psychopathology in youth

Matthew Mattoni; Sylia Wilson; Thomas M. Olino

doi:10.1016/j.dcn.2021.101013

Identifying profiles of brain structure and associations with current and future psychopathology in youth

Matthew Mattoni, Sylia Wilson, Thomas M. Olino

Institute of Child Development

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Brain structure is often studied as a marker of youth psychopathology by examining associations between volume or thickness of individual regions and specific diagnoses. However, these univariate approaches do not address whether the effect of a particular region may depend on the structure of other regions. Here, we identified subgroups of individuals with distinct profiles of brain structure and examined how these profiles were associated with concurrent and future youth psychopathology. We used latent profile analysis to identify distinct neuroanatomical profiles of subcortical region volume and orbitofrontal cortical thickness in the ABCD study (N = 9376, mean age = 9.91, SD = 0.62). We identified a five-profile solution consisting of a reduced subcortical volume profile, a reduced orbitofrontal thickness profile, a reduced limbic and elevated striatal volume profile, an elevated orbitofrontal thickness and reduced striatal volume profile, and an elevated orbitofrontal thickness and subcortical volume profile. While controlling for age, sex, and intracranial volume, profiles exhibited differences in concurrent psychopathology measured dimensionally and categorically and in psychopathology at 1-year follow-up measured dimensionally. Results show that profiles of brain structure have incremental validity for associations with youth psychopathology beyond intracranial volume.

Original language	English (US)
Article number	101013
Journal	Developmental Cognitive Neuroscience
Volume	51
DOIs	https://doi.org/10.1016/j.dcn.2021.101013
State	Published - Oct 2021

Bibliographical note

Funding Information:
Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9?10 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 numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. 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/consortium_members/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino).

Funding Information:
Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development SM (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 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 numbers U01DA041048 , U01DA050989 , U01DA051016 , U01DA041022 , U01DA051018 , U01DA051037 , U01DA050987 , U01DA041174 , U01DA041106 , U01DA041117 , U01DA041028 , U01DA041134 , U01DA050988 , U01DA051039 , U01DA041156 , U01DA041025 , U01DA041120 , U01DA051038 , U01DA041148 , U01DA041093 , U01DA041089 , U24DA041123 , U24DA041147 . 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/consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino). Publication of this article was funded in part by the Temple University Libraries Open Access Publishing Fund .

Publisher Copyright:
© 2021 The Authors

Keywords

ABCD study
Brain profile
Brain structure
Latent profile analysis
Youth psychopathology

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10.1016/j.dcn.2021.101013

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@article{42fc508e33654fc69b58106eb69ae49a,

title = "Identifying profiles of brain structure and associations with current and future psychopathology in youth",

abstract = "Brain structure is often studied as a marker of youth psychopathology by examining associations between volume or thickness of individual regions and specific diagnoses. However, these univariate approaches do not address whether the effect of a particular region may depend on the structure of other regions. Here, we identified subgroups of individuals with distinct profiles of brain structure and examined how these profiles were associated with concurrent and future youth psychopathology. We used latent profile analysis to identify distinct neuroanatomical profiles of subcortical region volume and orbitofrontal cortical thickness in the ABCD study (N = 9376, mean age = 9.91, SD = 0.62). We identified a five-profile solution consisting of a reduced subcortical volume profile, a reduced orbitofrontal thickness profile, a reduced limbic and elevated striatal volume profile, an elevated orbitofrontal thickness and reduced striatal volume profile, and an elevated orbitofrontal thickness and subcortical volume profile. While controlling for age, sex, and intracranial volume, profiles exhibited differences in concurrent psychopathology measured dimensionally and categorically and in psychopathology at 1-year follow-up measured dimensionally. Results show that profiles of brain structure have incremental validity for associations with youth psychopathology beyond intracranial volume.",

keywords = "ABCD study, Brain profile, Brain structure, Latent profile analysis, Youth psychopathology",

author = "Matthew Mattoni and Sylia Wilson and Olino, {Thomas M.}",

note = "Funding Information: Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9?10 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 numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. 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/consortium_members/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino). Funding Information: Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development SM (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 and follow them over 10 years into early adulthood. The ABCD Study{\textregistered} is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048 , U01DA050989 , U01DA051016 , U01DA041022 , U01DA051018 , U01DA051037 , U01DA050987 , U01DA041174 , U01DA041106 , U01DA041117 , U01DA041028 , U01DA041134 , U01DA050988 , U01DA051039 , U01DA041156 , U01DA041025 , U01DA041120 , U01DA051038 , U01DA041148 , U01DA041093 , U01DA041089 , U24DA041123 , U24DA041147 . 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/consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino). Publication of this article was funded in part by the Temple University Libraries Open Access Publishing Fund . Publisher Copyright: {\textcopyright} 2021 The Authors",

year = "2021",

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doi = "10.1016/j.dcn.2021.101013",

language = "English (US)",

volume = "51",

journal = "Developmental Cognitive Neuroscience",

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T1 - Identifying profiles of brain structure and associations with current and future psychopathology in youth

AU - Mattoni, Matthew

AU - Wilson, Sylia

AU - Olino, Thomas M.

N1 - Funding Information: Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9?10 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 numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. 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/consortium_members/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino). Funding Information: Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development SM (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 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 numbers U01DA041048 , U01DA050989 , U01DA051016 , U01DA041022 , U01DA051018 , U01DA051037 , U01DA050987 , U01DA041174 , U01DA041106 , U01DA041117 , U01DA041028 , U01DA041134 , U01DA050988 , U01DA051039 , U01DA041156 , U01DA041025 , U01DA041120 , U01DA051038 , U01DA041148 , U01DA041093 , U01DA041089 , U24DA041123 , U24DA041147 . 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/consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive Digital Object Identifier DOI 10.15154/1519007. Investigator support came from NIH grants R21 AA026632 (Wilson) and R01 MH107495 (Olino). Publication of this article was funded in part by the Temple University Libraries Open Access Publishing Fund . Publisher Copyright: © 2021 The Authors

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KW - Latent profile analysis

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Identifying profiles of brain structure and associations with current and future psychopathology in youth

Abstract

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