Association of gray matter volumes with general and specific dimensions of psychopathology in children

Durham, E. Leighton; Jeong, Hee Jung; Moore, Tyler M.; Dupont, Randolph M.; Cardenas‐Iniguez, Carlos; Cui, Zaixu; Stone, Farrah E.; Berman, Marc G.; Lahey, Benjamin B.; Kaczkurkin, Antonia N.

doi:10.1038/s41386-020-00952-w

Cited by 40 publications

(49 citation statements)

References 44 publications

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“…Additionally, they had a higher rate of lifetime depression diagnosis than youth in all profiles except the elevated OFC thickness/reduced striatal volume profile and a higher rate of lifetime ADHD diagnosis than youth in the reduced limbic/elevated striatal volume profile and the elevated OFC thickness and subcortical volume profile. These results are consistent with previous ABCD findings of associations between globally smaller gray matter volume and general psychopathology ( Durham et al, 2021 ). Our analysis builds on this study to show that a pattern of smaller subcortical gray matter volumes is a particularly robust marker of multiple forms of psychopathology, beyond ICV.…”

Section: Discussionsupporting

confidence: 93%

“…depression, Matsuo et al (2008) and ADHD, Hoogman et al (2017) ). The effect sizes are also similar to those previously found between individual regions and dimensional psychopathology in the ABCD sample, before controlling for ICV ( Durham et al, 2021 ). However, our results show incremental prediction of profiles beyond the effects of age, sex, and ICV in the same sample.…”

Section: Discussionsupporting

confidence: 85%

“…Profile differences on dimensional and diagnostic assessments showed similar patterns, increasing confidence in the reliability of results. As previous analysis of regional gray matter volume and dimensional psychopathology in the ABCD study found that most significant relationships were lost after controlling for ICV ( Durham et al, 2021 ), these results may suggest that distinct profiles of brain structural patterns show incremental utility in associations with youth psychopathology compared to regions considered independently.…”

Section: Discussionsupporting

confidence: 48%

“…We compared profiles to dimensional clinical symptoms in addition to categorical diagnoses as dimensional approaches may better assess the nature of psychopathology as they can identify gradations of subclinical symptoms ( Markon et al, 2011 ). In a previous report from the ABCD study, a general psychopathology factor was associated with globally smaller gray matter volumes, considered independently, though most of these associations were lost after controlling for intracranial volume (ICV; Durham et al, 2021 ). Here, we test if profiles of brain structure are associated with youth psychopathology, beyond ICV.…”

Section: Introductionmentioning

confidence: 86%

“…Statistical analyses were conducted with a priori covariates of age, sex assigned at birth, and ICV. Age and sex were included as a covariate in consistency with previous ABCD structural studies ( Durham et al, 2021 , Waller et al, 2020 ) and due to previous findings of sex differences in brain structure and psychopathology ( Lorenzetti et al, 2009 ). For profile comparisons of follow-up CBCL and PDQ scores, we also controlled for the same measure at baseline.…”

Section: Methodsmentioning

confidence: 99%

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

Mattoni

Wilson

Olino

2021

Developmental Cognitive Neuroscience

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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.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 48%

Section: Introductionmentioning

confidence: 86%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

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

Mattoni

Wilson

Olino

2021

Developmental Cognitive Neuroscience

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Gray matter volume associations in youth with ADHD features of inattention and hyperactivity/impulsivity

Reimann,

Jeong,

Durham

et al. 2024

Human Brain Mapping

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BackgroundPrior research has shown smaller cortical and subcortical gray matter volumes among individuals with attention‐deficit/hyperactivity disorder (ADHD). However, neuroimaging studies often do not differentiate between inattention and hyperactivity/impulsivity, which are distinct core features of ADHD. The present study uses an approach to disentangle overlapping variance to examine the neurostructural heterogeneity of inattention and hyperactivity/impulsivity dimensions.MethodsWe analyzed data from 10,692 9‐ to 10‐year‐old children from the Adolescent Brain Cognitive Development (ABCD) Study. Confirmatory factor analysis was used to derive factors representing inattentive and hyperactive/impulsive traits. We employed structural equation modeling to examine these factors' associations with gray matter volume while controlling for the shared variance between factors.ResultsGreater endorsement of inattentive traits was associated with smaller bilateral caudal anterior cingulate and left parahippocampal volumes. Greater endorsement of hyperactivity/impulsivity traits was associated with smaller bilateral caudate and left parahippocampal volumes. The results were similar when accounting for socioeconomic status, medication, and in‐scanner motion. The magnitude of these findings increased when accounting for overall volume and intracranial volume, supporting a focal effect in our results.ConclusionsInattentive and hyperactivity/impulsivity traits show common volume deficits in regions associated with visuospatial processing and memory while at the same time showing dissociable differences, with inattention showing differences in areas associated with attention and emotion regulation and hyperactivity/impulsivity associated with volume differences in motor activity regions. Uncovering such biological underpinnings within the broader disorder of ADHD allows us to refine our understanding of ADHD presentations.

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Differences in cortical morphology and child internalizing or externalizing problems: Accounting for the co‐occurrence

Zhang

Kim

et al. 2022

JCPP Advances

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Background Childhood internalizing and externalizing problems frequently co‐occur. Many studies report neural correlates of either internalizing or externalizing problems, but few account for their co‐occurrence. We aimed to assess specific cortical substrates of these psychiatric problems. Methods We used data from 9635 children aged 9–11 years in the baseline Adolescent Brain Cognitive Development Study. Internalizing and externalizing problem composite scales scores were derived from the Child Behavior Checklist. We standardized FreeSurfer‐derived volumes of 68 cortical regions. We examined internalizing and externalizing problems separately and jointly (covariate‐adjustment) in relation to cortical volumes, with and without adjusting for total brain volume (TBV) in multivariate linear regressions adjusted for demographics and multiple comparisons. We fit bifactor models to confirm the consistency of patterns exploring specific internalizing and specific externalizing problems. Sensitivity analyses included a vertex‐wide analysis and a replication in another large population‐based study. Results In separate TBV‐unadjusted analyses, externalizing and internalizing problems were associated with smaller cortical volumes. If adjusted for externalizing behavior, however, larger cortical volumes were associated with internalizing problems, while smaller cortical volumes remained associated with externalizing problems after adjustment for internalizing problems. The bifactor model produced similar results, which were consistently replicated in another pre‐adolescent neuroimaging sample. These associations likely represent global effects: adjusting for TBV rendered most associations non‐significant. Vertex‐wise analyses confirmed global patterns. Conclusion Our results suggest that internalizing and externalizing problems have globally opposing, and non‐specific associations with cortical morphology in childhood, which are only apparent if analyses account for their co‐occurrence.

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Association of gray matter volumes with general and specific dimensions of psychopathology in children

Cited by 40 publications

References 44 publications

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

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

Gray matter volume associations in youth with ADHD features of inattention and hyperactivity/impulsivity

Differences in cortical morphology and child internalizing or externalizing problems: Accounting for the co‐occurrence

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