Faculty Bibliography
Searched for:
school:SOM
Department/Unit:Child and Adolescent Psychiatry
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11211
Kids and drugs
[S.l.] : Elsevier, 2022
pp. 459-485
ISBN: 9780128189542
CID: 5199292
Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure
Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders are the small sample sizes employed and the heterogeneity of methods used. In 2013 and 2014, the ENIGMA-ADHD and ENIGMA-ASD working groups were respectively, founded with a common goal to address these limitations. Here, we provide a narrative review of the thus far completed and still ongoing projects of these working groups. Due to an implicitly hierarchical psychiatric diagnostic classification system, the fields of ADHD and ASD have developed largely in isolation, despite the considerable overlap in the occurrence of the disorders. The collaboration between the ENIGMA-ADHD and -ASD working groups seeks to bring the neuroimaging efforts of the two disorders closer together. The outcomes of case-control studies of subcortical and cortical structures showed that subcortical volumes are similarly affected in ASD and ADHD, albeit with small effect sizes. Cortical analyses identified unique differences in each disorder, but also considerable overlap between the two, specifically in cortical thickness. Ongoing work is examining alternative research questions, such as brain laterality, prediction of case-control status, and anatomical heterogeneity. In brief, great strides have been made toward fulfilling the aims of the ENIGMA collaborations, while new ideas and follow-up analyses continue that include more imaging modalities (diffusion MRI and resting-state functional MRI), collaborations with other large databases, and samples with dual diagnoses.
PMID: 32420680
ISSN: 1097-0193
CID: 4446612
Automated Brain Masking of Fetal Functional MRI with Open Data
Fetal resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a critical new approach for characterizing brain development before birth. Despite the rapid and widespread growth of this approach, at present, we lack neuroimaging processing pipelines suited to address the unique challenges inherent in this data type. Here, we solve the most challenging processing step, rapid and accurate isolation of the fetal brain from surrounding tissue across thousands of non-stationary 3D brain volumes. Leveraging our library of 1,241 manually traced fetal fMRI images from 207 fetuses, we trained a Convolutional Neural Network (CNN) that achieved excellent performance across two held-out test sets from separate scanners and populations. Furthermore, we unite the auto-masking model with additional fMRI preprocessing steps from existing software and provide insight into our adaptation of each step. This work represents an initial advancement towards a fully comprehensive, open-source workflow, with openly shared code and data, for fetal functional MRI data preprocessing.
PMID: 34129169
ISSN: 1559-0089
CID: 4916432
Journal of the American Academy of Child & Adolescent Psychiatry. 2022:61(1):4-9.DOI: 10.1016/j.jaac.2021.11.003
Editors' Best of 2021 [Editorial]
There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2021 articles that we think deserve your attention or at least a second read.
PMID: 34949338
ISSN: 1527-5418
CID: 5470352
Greater male than female variability in regional brain structure across the lifespan
For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
PMID: 33044802
ISSN: 1097-0193
CID: 4632482
Journal of the American Academy of Child & Adolescent Psychiatry. 2022:61(1):29-31.DOI: 10.1016/j.jaac.2021.11.001
Editorial: Beyond Red Light, Green Light: Examining the Role of Pharmacogenomics in Evidence-Based Care in Child and Adolescent Psychiatry [Editorial]
PMID: 34767918
ISSN: 1527-5418
CID: 5050832
Journal of neuropsychiatry & clinical neurosciences. 2022:34(1):84-88.DOI: 10.1176/appi.neuropsych.21030084
Primary CNS Lymphoma and Secondary Causes of Mania: A Case Report and Literature Review [Case Report]
PMID: 34565169
ISSN: 1545-7222
CID: 5345052
Economic burden of attention-deficit/hyperactivity disorder among children and adolescents in the United States: a societal perspective
OBJECTIVE/UNASSIGNED:To provide a comprehensive evaluation of the economic burden associated with attention-deficit/hyperactivity disorder (ADHD) among children and adolescents from a US societal perspective. MATERIALS AND METHODS/UNASSIGNED:Direct healthcare costs of children (5-11 years) and adolescents (12-17 years) with ADHD were obtained using claims data from the IBM MarketScan Research Databases (01/01/2017-12/31/2018). Direct non-healthcare and indirect costs were estimated based on literature and government publications. Each cost component was estimated using a prevalence-based approach, with per-patient costs extrapolated to the national level. RESULTS/UNASSIGNED:The total annual societal excess costs associated with ADHD were estimated at $19.4 billion among children ($6,799 per child) and $13.8 billion among adolescents ($8,349 per adolescent). Education costs contributed to approximately half of the total excess costs in both populations ($11.6 billion [59.9%] in children; $6.7 billion [48.8%] in adolescents). Other major contributors to the overall burden were direct healthcare costs ($5.0 billion [25.9%] in children; $4.0 billion [29.0%] in adolescents) and caregiving costs ($2.7 billion [14.1%] in children; $1.6 billion [11.5%] in adolescents). LIMITATIONS/UNASSIGNED:Cost estimates were calculated based on available literature and/or governmental publications due to the absence of a single data source for all costs associated with ADHD. Thus, the quality of cost estimates is limited by the accuracy of available data as well as the study populations and methodologies used by different studies. CONCLUSION/UNASSIGNED:ADHD in children and adolescents is associated with a substantial economic burden that is largely driven by education costs, followed by direct healthcare costs and caregiver costs. Improved intervention strategies and policies may reduce the clinical and economic burden of ADHD in these populations.
PMID: 35068300
ISSN: 1941-837x
CID: 5154282
Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group
The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses.
PMCID:8675407
PMID: 32596977
ISSN: 1097-0193
CID: 5364742
Factors Associated with Distinct Patterns of Suicidal Thoughts, Suicide Plans, and Suicide Attempts Among US Adolescents
The current study examined demographic, psychosocial, and substance use factors associated with distinct patterns of past 12-month suicide thoughts, plans, and attempts among adolescents drawn from a nationally representative sample of high schoolers. Data were from the 2015, 2017, and 2019 National Youth Risk Behavior Survey. Four mutually exclusive 12-month suicidal behavior patterns were identified: suicide thoughts only (pattern 1), suicide thoughts and plans without suicide attempt (pattern 2), suicide attempt with thoughts and/or plans (pattern 3), and suicide attempt without thoughts or plans (pattern 4). Multinomial logistic regression analyses were conducted to examine factors correlated with these distinct patterns. Psychosocial and substance use factors were modeled as independent predictors, controlling for demographic characteristics, as well as simultaneously to represent the potential for co-occurrence. The analytic sample included 7491 respondents. About 24% (n = 1734) of youth endorsed pattern 1, 38% (n = 2779) pattern 2, 35% (n = 2716) pattern 3, and 3% (n = 262) pattern 4. All psychosocial and substance use factors measured were individually associated with greater odds of suicide attempts with thoughts or plans (pattern 3) than patterns 1 or 2. Black and male youth were at greater odds of suicide attempts without thoughts or plans (pattern 4) than all other patterns. When modeled simultaneously, respondents who were bullied online, sad or hopeless, had a history of sexual violence, used cigarettes, and misused prescription opiates retained greater odds of suicide attempts with thoughts or plans (pattern 3) than patterns 1 or 2. Findings suggest screening for suicidal behaviors should include factors that differentiate between varying suicidal expressions and that may cue providers to intervene in the absence of suicide thoughts and plans.
PMID: 34482517
ISSN: 1573-6695
CID: 5030922
