cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15154/1518655
title: Investigating autism etiology and heterogeneity by decision tree algorithm

description: Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism.
DOI: 10.15154/1518668
title: Obesity and Eating Disorder Disparities among Sexual and Gender Minority Youth

description: Obesity and eating disorders (EDs) in youth are prevalent, associated with medical and psychosocial consequences, and may persist into adulthood; therefore identifying subgroups of youth vulnerable to one or both conditions is critical. One group that may be at-risk for obesity and disordered eating is sexual and gender minorities (SGM; those who identify as lesbian, gay, bisexual, and/or transgender or whose sexual orientation or gender identity/expression do not conform to societal conventions). Though SGM identities may begin in childhood and early adolescence, many studies assess older adolescents and adults, and rely upon self-reported weight and eating pathology. Given the adverse sequelae of obesity and EDs, the identification of disparities among SGM youth has implications for clinical practice and public health.
DOI: 10.15154/1518671
title: Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet

description: In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature denoising, feature selection, training a StackNet, and predicting fluid intelligence. The extracted feature is the distribution of different brain tissues in different brain parcellation regions. The proposed StackNet consists of three layers and 11 models. Each layer uses the predictions from all previous layers including the input layer. The proposed StackNet is tested on a public benchmark Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge 2019 and achieves a mean squared error of 82.42 on the combined training and validation set with 10-fold cross-validation. In addition, the proposed StackNet also achieves a mean squared error of 94.25 on the testing data. The source code is available on GitHub.
DOI: 10.15154/1518688
title: Suicide ideation and neurocognition among 9- and 10-year old children in the Adolescent Brain Cognitive Development (ABCD) Study
DOI: 10.15154/1519020
title: PING study derived data
DOI: 10.15154/1519022
title: Memory failure predicted by attention lapsing and media multitasking
DOI: 10.15154/1519027
title: Sex and Pubertal Status Moderate the Association Between ADHD and Depression Symptoms: An Examination From Preadolescence Through Late Adolescence
DOI: 10.15154/1519030
title: Fine particulate matter exposure during childhood relates to hemispheric-specific differences in brain structure
DOI: 10.15154/1519150
title: Adverse Childhood Experiences and Psychotic-like Experiences Are Associated Above and Beyond Shared Correlates:  Findings from the Adolescent Brain Cognitive Development Study
DOI: 10.15154/1519168
title: Association of Prenatal Opioid Exposure With Precentral Gyrus Volume in Children
DOI: 10.15154/1519174
title: Early developmental asymmetries in cell lineage trees in living individuals
DOI: 10.15154/1519178
title: Diffusion-weighted derivatives of PING
DOI: 10.15154/1519185
title: Effective Velopharyngeal Ratio: A More Clinically Relevant Measure of Velopharyngeal Function
DOI: 10.15154/1519186
title: Prenatal cannabis exposure and childhood outcomes: Results from the ABCD Study®
DOI: 10.15154/1519190
title: Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 Deletion Syndrome
DOI: 10.15154/1519249
title: Genetic and Environmental Influences on Executive Functions and Intelligence in the ABCD Study
DOI: 10.15154/1519257
title: White Matter Tract Integrity, Involvement in Sports, and Depressive Symptoms in Children
DOI: 10.15154/1519265
title: Association of lead-exposure risk and family income with childhood brain outcomes
DOI: 10.15154/1519407
title: Long-term Waist Circumference Changes with Olanzapine Treatment: A post-hoc analysis of CATIE Phase I Data
DOI: 10.15154/1519427
title: Nucleus Accumbens Cytoarchitecture Predicts Weight Gain in Children
DOI: 10.15154/1343559
title: Automated Autism Diagnosis using Phenotypic and Genotypic Attributes: Phase I
DOI: 10.15154/1361507
title: Hotspots of missense mutation identify neurodevelopmental disorder genes and functional domains
DOI: 10.15154/1504119
title: Stat Learning
DOI: 10.15154/1504149
title: Music event Segmentation
DOI: 10.15154/1506068
title: BSMN - Commonly Processed Data
DOI: 10.15154/1506134
title: Shared and unique brain network features predict multiple behavioral domains in the ABCD study
DOI: 10.15154/1518466
title: Summary Measures for Quantifying the Extent of Visit Irregularity in Longitudinal Data: The STAR*D Study
DOI: 10.15154/1518553
title: Identifying Areas of Overlap and Distinction in Early Lexical Profiles of Children with Autism Spectrum Disorder, Late Talkers, and Typical Talkers
DOI: 10.15154/1518677
title: CHaracterizing Social Profiles of Adolescents with ADHD and associations with clinical features
DOI: 10.15154/1519026
title: Decoding individual variation of brain age estimates in typical development
DOI: 10.15154/1519056
title: Application of advanced methodology to osteoarthritis phenotyping
DOI: 10.15154/1519086
title: Comprehensive sequencing of the entire cortex of one human brain to assess local and distributed mosaicism
DOI: 10.15154/1519171
title: Differentiating kinds of systemic chronic stressors with relation to psychotic-like experiences in late childhood and early adolescence: the stimulation, discrepancy, and deprivation model of psychosis
DOI: 10.15154/1519187
title: Prenatal cannabis exposure and sleep outcomes in children 9-10 years of age in the Adolescent Brain Cognitive Development ℠ Study.
DOI: 10.15154/1519208
title: Wearable Assessment of Adolescent Mental Health
DOI: 10.15154/1519209
title: Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure
DOI: 10.15154/1519256
title: Association Between Habitual Snoring and Cognitive Performance in a Large Sample of Preadolescent Children
DOI: 10.15154/1519271
title: Screen time is associated with mental health, academic outcomes, and peer relationships in the Adolescent Brain Cognitive Development ℠ Study
DOI: 10.15154/1519352
title: Explaining the association between urbanicity and psychotic-like experiences in pre-adolescence: The indirect effect of urban exposures
DOI: 10.15154/1519433
title: Extracurricular activities, sleep, and screen media activity may be modifiable factors influencing children’s cognitive functioning: evidence from the ABCD study
DOI: 10.15154/1519574
title: Bifactor Model of Cognition in Schizophrenia: Evidence for General and Specific Abilities
DOI: 10.15154/1520137
title: The Associations between Religion and Impulsivity in the Adolescent Brain Cognitive Development (ABCD) Study
DOI: 10.15154/1520153
title: Greater radiologic evidence of hypothalamic gliosis predicts adiposity gain in children at risk for obesity
DOI: 10.15154/1520456
title: A Cross-Ethnoracial Comparison of Objective and Subjective Neighborhood Predictors of Early Adolescents? Prosocial Behavior
DOI: 10.15154/1520457
title: SCELLECTOR – ranking amplification bias in single cells using shallow sequencing
DOI: 10.15154/1520460
title: Decomposing complex links between the childhood environment and brain structure in school-aged youth
DOI: 10.15154/1520466
title: Birth weight and childhood psychopathology in the ABCD cohort: association is strongest for attention problems and is moderated by sex.
DOI: 10.15154/1520493
title: A Family-Built Brain: Associations between family environment and child brain function and structure
DOI: 10.15154/1520518
title: Relationship between obstructive sleep disordered breathing and childhood behavioral problems is mediated by frontal lobe structure
DOI: 10.15154/1520521
title: Obsessive-Compulsive Symptoms among Children in the Adolescent Brain and Cognitive Development Study: Clinical, Cognitive, and Brain Connectivity Correlates
DOI: 10.15154/1520582
title: Resilience to Adversity in Reward Networks in Children Living in Unsafe Neighborhoods
DOI: 10.15154/1520584
title: Adolescent Brain Cognitive Development Study? (ABCD) Data Release: COVID Rapid Response Research (RRR) Survey  First data release (Surveys #1, 2, and 3)
DOI: 10.15154/1520592
title: Predictors of change in suicidal ideation across treatment phases of major depressive disorder: analysis of the STAR*D data
DOI: 10.15154/1520613
title: Testing whether implicit emotion regulation mediates the association between discrimination and symptoms of psychopathology in late childhood: An RDoC perspective
DOI: 10.15154/1520622
title: A brain-based universal measure of attention: predicting task-general and task-specific attention performance and their underlying neural mechanisms from task and resting state fMRI
DOI: 10.15154/1520630
title: Tuber locations associated with infantile spasms map to a common brain network
DOI: 10.15154/1520631
title: Face-processing performance is an independent predictor of social affect as measured by the Autism Diagnostic Observation Schedule across large-scale datasets
DOI: 10.15154/1520633
title: Early developmental asymmetries in cell lineage trees in living individuals
DOI: 10.15154/1520706
title: Genetic vulnerability of exposures to antenatal maternal treatments in 1-2 mo-old infants
DOI: 10.15154/1520708
title: Human Connectome Project-Development (HCP-D) Release 2.0
DOI: 10.15154/1520712
title: Child Reward Neurocircuitry and Parental Substance Use History: Findings from the Adolescent Brain Cognitive Development Study
DOI: 10.15154/1520717
title: The Impact of Early Intervention on Gesture Development for Children Diagnosed with Autism Spectrum Disorder
DOI: 10.15154/1520727
title: School climate, cortical structure, and socioemotional functioning: Associations across family income levels.
DOI: 10.15154/1520739
title: Mediating Role of the Default Mode Network on Parental Acceptance/Warmth and Psychopathology in Youth

description: Humans are reliant on their caregivers for an extended period of time, offering numerous opportunities for environmental factors, such as parental attitudes and behaviors, to impact brain development. The default mode network (DMN) is a neural system encompassing the medial prefrontal cortex, posterior cingulate cortex, precuneus, and temporo-parietal junction, which is implicated in aspects of cognition and psychopathology. Delayed DMN maturation in children and adolescents has been associated with greater general dimensional psychopathology, and positive parenting behaviors have been suggested to serve as protective mechanisms against atypical DMN development. The current study aimed to extend the existing research by examining whether within-DMN resting-state functional connectivity (RSFC) would mediate the relation between parental acceptance/warmth and youth psychopathology. Data from the Adolescent Brain and Cognitive Development (ABCD) study, which included a community sample of 9,058 children ages 9-10.9 years, were analyzed to test this prediction. Results from the analysis demonstrated a significant mediation, where greater parental acceptance/warmth predicted greater within-DMN RSFC, which in turn predicted lower psychopathology. Our study provides preliminary support for the notion that positive parenting traits may reduce the risk for psychopathology in youth through their influence on the DMN. Due to the cross-sectional nature of this study, we can only draw correlational inference; therefore, these relationships should be tested longitudinally in future investigations.
DOI: 10.15154/1520776
title: Parental Arrest and Child Behavior: Differential Role of Executive Functioning among Racial Subgroups
DOI: 10.15154/1520865
title: Stepped Care versus Standard Care for Children after Trauma: A Randomized Non-inferiority Clinical Trial
DOI: 10.15154/1520874
title: Gray matter volumetric correlates of behavioral activation and inhibition system traits in children: An exploratory voxel-based morphometry study of the ABCD project data
DOI: 10.15154/1520900
title: Taste reward circuits and prediction error define eating disorder psychopathology
DOI: 10.15154/1520908
title: The association between child alcohol sipping and alcohol expectancies in the ABCD study
DOI: 10.15154/1520940
title: Genetic variation in endocannabinoid signaling is associated with differential network-level functional connectivity in youth
DOI: 10.15154/1520965
title: Altered hippocampal microstructure and function in children who experienced Hurricane Irma.
DOI: 10.15154/1521087
title: Smoking is related to reduced motivation, but not global cognition, in the first two years of treatment for first episode psychosis
DOI: 10.15154/1521102
title: Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study
DOI: 10.15154/1521107
title: Latent Profiles of Youth Brain Structure as Markers for Psychopathology
DOI: 10.15154/1521137
title: Is Executive Dysfunction a Risk Marker or Consequence of Psychopathology? A Test of Executive Function as a Prospective Predictor and Outcome of General Psychopathology in the Adolescent Brain Cognitive Development Study.
DOI: 10.15154/1521158
title: Cortical Thickness in Bilingual and Monolingual Children: Relationships to Language Use and Language Skill
DOI: 10.15154/1521346
title: Conduct disorder symptomatology is associated with an altered functional connectome in a large national youth sample
DOI: 10.15154/1521349
title: Sleep disorders predict the one-year onset, persistence, but not remission of psychotic experiences in 10-11 year old children: a longitudinal analysis of the ABCD cohort data
DOI: 10.15154/1521353
title: Reward Processing in Children with Psychotic-like Experiences
DOI: 10.15154/1522300
title: Identifying genetic risk variants associated with brain volumetric phenotypes via K-sample Ball Divergence method
DOI: 10.15154/1522453
title: Vocabulary Comprehension in MV Children with ASD
DOI: 10.15154/1522481
title: What Is the Link Between Attention-Deficit/Hyperactivity Disorder and Sleep Disturbance? A Multimodal Examination of Longitudinal Relationships and Brain Structure Using Large-Scale Population-Based Cohorts
DOI: 10.15154/1522486
title: Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings
DOI: 10.15154/1522532
title: Cortical thickness, surface area, and subcortical volumes across a spectrum of psychopathology symptoms during childhood
DOI: 10.15154/1522534
title: Neuroanatomical correlates of impulsive traits in children aged 9 to 10
DOI: 10.15154/1522537
title: Efficacy of attention bias modification training for depressed adults: a randomized clinical trial.
DOI: 10.15154/1522538
title: Change in Negative Attention Bias Mediates the Association Between Attention Bias Modification Training and Depression Symptom Improvement
DOI: 10.15154/1522543
title: Assessing the Psychometric Properties of the PROMIS Sleep Measures in Persons with Psychosis.
DOI: 10.15154/1522544
title: Associations Among Negative Life Events, Changes in Cortico-Limbic Connectivity, and Psychopathology in the ABCD Study
DOI: 10.15154/1522550
title: Variable Selection in Semiparametric Regression Models for  Longitudinal Data with Informative Observation Times

description: A common issue in longitudinal studies is that subjects' visits are irregular and may depend on observed outcome values which is known as longitudinal data with informative observation times (follow-up). Semiparametric regression modelling for this type of data has received much attention as it provides more flexibility in studying the association between regression factors and a longitudinal outcome. An important problem here is how to select relevant variables and estimate their coefficients in semiparametric regression models when the number of covariates at baseline is large. The current penalization procedures in semiparametric regression models for longitudinal data does not account for informative observation times. We propose a variable selection procedure that is suitable for the estimation methods based on pseudo-score functions. We investigate the asymptotic properties of penalized estimators and conduct simulation studies to illustrate the theoretical results. We also use the procedure for variable selection in a semiparametric model for the STAR*D dataset from a multistage randomized clinical trial for treating major depressive disorder.
DOI: 10.15154/1522576
title: Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study
DOI: 10.15154/1522587
title: Profiles of pet ownership during the COVID-19 pandemic
DOI: 10.15154/1522594
title: Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children.
DOI: 10.15154/1522603
title: Phenotypic subtyping and re-analysis of existing methylation data from autistic probands in simplex families reveal ASD subtype-associated differentially methylated genes and biological functions
DOI: 10.15154/1522617
title: Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
DOI: 10.15154/1522625
title: Differentiating distinct and converging neural correlates of types of systemic environmental exposures
DOI: 10.15154/1522627
title: Shared genetic etiology between cortical brain morphology  and tobacco, alcohol, and cannabis use
DOI: 10.15154/1522637
title: The Frequency of Symptom-Based Phenotypes of Mental Disorders is Long-Tailed
DOI: 10.15154/1522638
title: Breastfeeding Duration is Associated With Domain-Specific Improvements in Cognitive Performance in 9-10-Year-Old Children
DOI: 10.15154/1522640
title: Motor abnormalities, depression risk, and clinical course in adolescence
DOI: 10.15154/1522838
title: Depression and Psychosis Risk Shared Vulnerability for Motor Abnormalities 

description: Backgrounds: Motor abnormalities are a strong indicator of emerging neural network abnormalities and may provide critical early indications of psychopathology risk. In fact, motor abnormalities, such as motor slowing and agitation, are widely recognized as features of several neurodevelopmental disorders. However, our understanding of motor pathology in the course of depression remains poorly developed.  
Methods: 10,835 adolescents from the ABCD study were used to explore the relationship between motor abnormalities and depression. These analyses leveraged the rich data available in the ABCD dataset by examining several motor and depression metrics. Depression variables included measures of current symptom dimensions, familial risk, and current diagnoses.
In a similarly expansive approach, multiple measures of motor abnormalities were assessed, including early motor delay, coordination, motor slowing, and motor agitation. Finally, motor network connectivity assessed whether current depression symptoms are associated with motor network abnormalities for 8,940 individuals. For all analyses, psychosis variables were used as a comparison.
Results: Early developmental motor delays were associated with current depression diagnoses, current symptoms, and a familial risk loading for depression. Current motor abnormality symptoms were also each associated with all depression metrics, including current diagnoses, current symptoms, and familial risk loading. Motor network connectivity was also related to current depression symptom levels.
Conclusions: Motor development and symptoms are critically related to depression symptoms, diagnoses, and familial risk loading. Motor function may reflect core biological vulnerability to depression as evidenced by familial risk and motor network connectivity. Finally, individuals with familial risk for psychosis and depression showed the greatest motor abnormalities.
DOI: 10.15154/1522873
title: Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data
DOI: 10.15154/1522874
title: Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression
DOI: 10.15154/1522876
title: Genome-wide association analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people
DOI: 10.15154/1522877
title: Functional connectome mediates the association between sleep disturbance and mental health in preadolescence: A longitudinal mediation study
DOI: 10.15154/1522914
title: Overlap between latent behavioral executive control and functional neural networks in middle childhood
DOI: 10.15154/1522937
title: Resting-state fMRI effective connectivity of deep grey motor networks in  children with developmental movement disorders
DOI: 10.15154/1523049
title: Treatment selection using prototyping in latent-space with application to depression treatment
DOI: 10.15154/1523050
title: Impact of trauma exposure and endocannabinoid signaling on frontolimbic white matter pathways in children
DOI: 10.15154/1523051
title: Peer victimization is linked to heightened corticolimbic activation during emotion processing in early adolescents
DOI: 10.15154/1523096
title: Peer and Pubertal Correlates of Conduct Problems in Girls
DOI: 10.15154/1523108
title: Limits to the generalizability of resting-state functional magnetic resonance imaging studies of youth: An examination of ABCD Study® baseline
DOI: 10.15154/1523151
title: Neighborhood safety is associated with anxiety symptoms and variation in emotion processing neurocircuitry in children
DOI: 10.15154/1523152
title: Getting a good night’s sleep: Sleep duration and quality impacts DMN connectivity in youth
DOI: 10.15154/1523153
title: Analyzing prenatal cannabis exposure and its impacts on frontolimbic white matter pathway development
DOI: 10.15154/1523155
title: Impact of Prenatal Cannabis Exposure on the Salience Network and Other Core Neurocognitive Networks
DOI: 10.15154/1523347
title: Risk of lead exposure, subcortical brain structure, and cognition in a large cohort of 9- to 10-year-old children
DOI: 10.15154/1523385
title: Brain-Wide Functional Connectivity Patterns Support General Cognitive Ability and Mediate Effects of Socioeconomic Status in Youth