About

Tyler M. Moore is a Research Assistant Professor of Psychiatry at the University of Pennsylvania's Perelman School of Medicine. He holds a PhD in Quantitative Psychology from UCLA, a MSc in Social and Organizational Psychology from the University of Exeter (UK), and a BA in Economics from Pomona College. His research focuses on quantitative psychology, with an emphasis on psychiatric research. Moore is actively involved in academic activities, contributing to the field through publications and scholarly profiles such as Google Scholar and NCBI/NIH. He is based at the Department of Psychiatry, located at 3700 Hamilton Walk, Philadelphia, PA.

Research topics

• Medicine
• Psychology
• Internal medicine
• Surgery
• Mathematics
• Neuroscience
• Machine Learning
• Computer Science
• Psychiatry
• Clinical psychology
• Statistics
• Cognitive psychology
• Virology
• Biology
• Developmental psychology
• Pathology
• Physics
• Demography
• Audiology
• Anesthesia
• Social psychology
• Intensive care medicine

Selected publications

• Psychometric properties and validity of the Hong Kong version of the Penn computerized neurocognitive battery (CNB-HK) in Chinese children with and without autism spectrum disorder

  Journal of the International Neuropsychological Society · 2025-12-10

  article

  OBJECTIVE: Neurocognitive assessment is an essential research instrument for autism spectrum disorder (ASD), as the clinical manifestations are rooted in diverse neurocognitive processes that cause variation in clinical presentation. Few instruments comprehensively capture relevant neurocognitive domains, and most require professional assessors. The Penn Computerized Neurocognitive Battery (CNB) is widely used in child and adolescent psychiatry research across cultures. This study adapted and validated the CNB for a clinical ASD cohort in Hong Kong. METHOD: In this Hong Kong version of the CNB (CNB-HK), thirteen cognitive tasks were translated and adapted, with one task for sensorimotor speed and twelve belonging to four specific domains (episodic memory, social cognition, complex cognition, and executive function). The CNB-HK was administered to 636 normal-IQ children with ASD (mean age: 8.4 years, 87.1% male) and 412 children without ASD (mean age: 8.6 years, 55.1% male). Factor structure was examined using factor analyses. RESULTS: The CNB-HK had high feasibility for children with ASD, with <7% invalid data across all tasks. The original four-factor and bi-factor structures were replicated with good model fit, and partial scalar invariance was achieved between children with and without ASD. The factor scores correlated positively with estimated IQ in the ASD group. The ASD group had worse performance across all four cognitive domains and the g factor compared to the group without ASD. CONCLUSIONS: The CNB-HK is a valid, multi-domain cognitive assessment tool for children with ASD in Hong Kong, offering a feasible and reliable approach for research and clinical settings.

  PublisherDOI

• Longitudinal Development of Neurocognitive Functioning and Gray Matter Volume in Youths With Recurrent Psychosis Spectrum Symptoms

  Schizophrenia Bulletin · 2025-05-18 · 2 citations

  articleOpen access

  BACKGROUND AND HYPOTHESIS: Neurodevelopmental risk-factor models of psychosis highlight the importance of early developmental deviations in the emergence of psychosis. However, few longitudinal studies map neurodevelopment and neurocognitive trajectories across age in preclinical psychosis. We investigated longitudinal trajectories in neurocognition and brain volume in a community cohort of adolescents with recurrent psychosis spectrum (PS) symptoms, tracking their development into young adulthood compared to their typically developing (TD) peers. STUDY DESIGN: Utilizing the Philadelphia Neurodevelopmental Cohort, we analyzed data of 231 youths aged 8-30 with at least one follow-up assessment, including 88 with PS. STUDY RESULTS: Individuals with PS showed similar developmental trajectories but demonstrated significant impairments in executive functioning (t = -2.81, q = 0.010), memory (t = -2.34, q = 0.019), complex cognition (t = -3.72, q = 0.001), social cognition (t = -2.73, q = 0.010), motor (t = -2.50, q = 0.015), and general cognition (t = -3.20, q = 0.004). Lower cortical (t = -2.46, P = .014) and subcortical (t = -2.41, P = .016) gray matter volume in the recurrent PS group compared to the TD group were documented with age-related group differences becoming less pronounced by young adulthood. Further analyses revealed age-by-group interactions (qs < 0.05) observed in a few temporal and frontal regions, with differences between groups at earlier ages. CONCLUSIONS: These findings suggest that recurrent PS symptoms are linked to early neurocognitive and brain structure deficits, highlighting the need for interventions to reduce psychosis risk and support healthy neurodevelopment.

  PublisherOA PDFDOI

• Development and Limited Validation of a Computerized Adaptive (CAT) Version of the e-QPASS Psychopathology Assessment

  2025-10-16

  articleOpen access1st authorCorresponding

  The e-QPASS (Quick Psychoaffective Symptoms Scan) is a comprehensive 105-item psychopathology assessment that captures three core emotional dimensions underlying mental illness: depression, anxiety, and anger. While clinically valuable, its 10-minute administration time creates barriers for high-throughput clinical and research settings. This study developed a computerized adaptive testing (CAT) version to preserve comprehensive symptom coverage while dramatically reducing respondent burden. We analyzed data from 625 participants (47.8% female, ages 15-79) who completed the full e-QPASS. Exploratory factor analysis identified dimensionality, and Item Response Theory (IRT) Graded Response Models were fitted to calibrate item parameters. CAT simulations determined optimal item administration sequences, with final versions limited to 12 items for general psychopathology and 8 items each for internalizing and externalizing dimensions. Concurrent validity was assessed by examining preservation of known gender differences in externalizing symptoms between full and CAT versions. Factor analysis revealed a robust two-factor structure: Dysregulated Externalizing and Internalizing. IRT models demonstrated acceptable fit (CFI=0.965, RMSEA=0.059). The CAT versions maintained high measurement precision (SE≤0.40) across clinically relevant trait levels while achieving a 10-fold reduction in items. Gender differences in externalizing symptoms were preserved with identical effect sizes across both full and CAT versions, confirming construct validity. The CAT e-QPASS successfully balances comprehensive psychopathology assessment with practical efficiency, offering substantial promise for clinical screening, treatment monitoring, and large-scale research applications where repeated assessments are essential.

  PublisherDOI

• Non-Invasive Pancreas Ablation Using Histotripsy: Pre-clinical Safety Study in an In Vivo Porcine Model

  Ultrasound in Medicine & Biology · 2025-10-03 · 2 citations

  articleOpen access
  PublisherOA PDFDOI

• Conditional-longitudinal brain growth charts detect MRI changes with birth weight and psychopathology

  bioRxiv (Cold Spring Harbor Laboratory) · 2025-12-26

  articleOpen access

  Abstract Importance Brain maturation varies between individuals, particularly during dynamic developmental periods like adolescence. Directly assessing differences in longitudinal trajectories can reveal deviations from normative patterns. Objective We present novel conditional-longitudinal normative models that characterize variability in brain maturation. We utilize these models to examine whether differences in longitudinal trajectories are associated with birth weight (BW), gestational age (GA), and longitudinal psychopathology derived from behavioral assessments. Design Cross-sectional and conditional-longitudinal normative models were developed for brain volumes derived from the first two neuroimaging timepoints from the Adolescent Brain Cognitive Development (ABCD) Study. Conditional-longitudinal models index an individual’s expected brain volume at follow-up conditioned on their baseline measurement. Models were fit with split-half cross-validation on demographically matched samples. Setting The ABCD Study is a multi-site, population-based study Participants Participants were excluded based on imaging quality flags and missing data, leaving 10,830 at baseline and 7,262 at follow-up. Exposures BW and GA were derived from parent-report questionnaires. General psychopathology scores were calculated using a bifactor model. Main Outcomes and Measures We calculated cross-sectional and conditional-longitudinal centiles, respectively quantifying individual deviations in size and change between timepoints. Sensitivity analyses included covariates for parental income and education as well as current weight and height. Results The sample was 10,830 at baseline (48.2% F,age 9-10y) and 7,262 at follow-up (46.6% F,age 11-13y). Conditional-longitudinal centiles were sensitive to individual differences in brain change between timepoints. Lower BW was associated with lower conditional-longitudinal centiles, suggesting larger decreases in brain volumes over time (27 regions p fdr &lt;0.05, β max =0.08). Lower conditional-longitudinal centiles were associated with greater increases in psychopathology scores, suggesting with increased psychopathology brain volumes show greater decrease (37 regions p fdr &lt;0.05, β max =0.06). Notably, changes in psychopathology were not related to brain size at either timepoint, indexed by cross-sectional centiles. Conclusions and Relevance Models that capture individual-level deviations from expected growth trajectories, rather than static positions on a growth curve, are particularly informative for assessing developmental change. Novel conditional-longitudinal models address this gap in lifespan brain imaging. Using this framework, we demonstrate robust associations between individual trajectory deviations, perinatal adversity, and longitudinally assessed mental health symptoms. Condition-longitudinal models hold promise for applications across psychiatric neuroscience, from development to aging. Key Points Question How do differences in brain maturation trajectories, quantified by novel conditional-longitudinal models, relate to perinatal factors and mental health in adolescence? Findings In this longitudinal analysis of neuroimaging data from the Adolescent Brain Cognitive Development (ABCD) Study, conditional-longitudinal normative models revealed that trajectories of brain maturation in adolescence are associated with birth weight, and with longitudinal changes in mental health. Meaning Conditional longitudinal models detect inter-individual variability in brain maturation, which is related to both perinatal factors and concurrent changes in psychopathology.

  PublisherDOI

• Longitudinal Trajectories of Clinical Features in Community Youth With Recurrent Psychosis Spectrum Symptoms: Findings From the Philadelphia Neurodevelopmental Cohort

  Schizophrenia Bulletin · 2025-06-09 · 1 citations

  article

  BACKGROUND AND HYPOTHESIS: In the general population, more severe, recurrent subthreshold psychosis spectrum (PS) symptoms are associated with a heightened risk of poor outcomes. Here, we expanded and temporally extended our prior 2-year follow-up of community youth with recurrent PS symptoms in the Philadelphia Neurodevelopmental Cohort (PNC) by characterizing longer-term trajectories of symptom domains and global functioning compared to youth with other recurrent psychopathology. STUDY DESIGN: The PNC Time 1 included 9498 community youth (age 8-21) recruited from a pediatric healthcare network. A subsample (n = 752) participated in prospective evaluations (mean visits = 2.75; interval range years first:last visit = 0.2:9.3; mean = 4.52 years; age range years first:last visit = 8.1-21.9:9.5-29.9). Youth were classified based on psychopathology at first and last visits. Longitudinal trajectories of symptom domains (positive, negative, disorganized, general) and global functioning were modeled using generalized additive mixed models. STUDY RESULTS: Youth with recurrent PS displayed a nonlinear developmental trajectory of positive psychosis symptoms such that severity increased slowly until the early 20s, and then briefly plateaued before increasing significantly in the late 20s. They also exhibited increases over time in disorganized and negative symptoms, and in general symptoms, which were lower in severity and relatively stable in other groups. Global functioning in recurrent PS declined from moderate to serious impairment over time, compared to youth with recurrent other psychopathology, where higher and more stable functioning was observed. CONCLUSIONS: Results underscore that PS symptoms in community adolescents reflect dynamic developmental processes into early adulthood, and support evaluating trajectories of multiple symptom and functional domains.

  PublisherDOI

• Transient gray matter decline during antarctic isolation: Roles of sleep, exercise, and cognition

  npj Microgravity · 2025-07-11 · 4 citations

  articleOpen access

  Astronauts face significant stress in space, and understanding its neurobiological basis is key to assessing risk and resilience. Analogue environments, like the Antarctic Concordia Station, replicate isolated, confined, and extreme (ICE) conditions. This study assessed brain structure changes in 25 crewmembers who spent 12 months at Concordia, with MRI scans conducted before, immediately after, and five months post-mission. The study included 25 controls scanned over a similar interval and 4 "flying phantom" individuals who were scanned at all sites. Gray matter in the temporal and parietal lobes, hippocampus, pallidum, and thalamus as well as global white matter decreased during the mission in crewmembers, with all but the thalamus returning to baseline after five months. Brain ventricle volume increased, and better sleep correlated with less brain volume loss, highlighting its potentially protective role. These findings emphasize the importance of understanding mechanisms driving brain changes, particularly with growing interest in extended space missions in ICE environments.

  PublisherOA PDFDOI

• A Prospective Brain-Behavior-Genetics Protocol Harnessing Clinically Acquired Pediatric Brain MRIs

  2025-06-30 · 1 citations

  preprintOpen access

  Adolescence is a critical period marked by rapid brain development and the onset of many mental health disorders. Brain MRI studies during adolescence, especially when paired with behavioral phenotypes and information about genetic risk factors, hold promise to advance early identification of mental health risk and spur the creation of targeted treatments to improve patient function, prognosis, and quality of life. However, prospective neuroimaging is costly and time-intensive, and individuals who participate may not be reflective of the general population. These challenges are compounded when examining adolescents, as many families lack the time, energy, or resources to participate in studies that utilize research-grade imaging. Repurposing clinical MRIs obviates many of the challenges of neuroimaging research. Here we describe the Brain-Behavior-Genetics study protocol. This protocol describes procedures used to recruit participants with recent high-quality clinical brain MRIs and prospectively acquire genetic and socio-behavioral data, resulting in a highly cost-efficient design that harnesses a vast and underutilized neuroscientific resource.

  PublisherOA PDFDOI

• Disentangling Brain-Psychopathology Associations: A Systematic Evaluation of Transdiagnostic Latent Factor Models

  bioRxiv (Cold Spring Harbor Laboratory) · 2025-12-23

  articleOpen access

  Abstract Understanding the neurobiological basis of mental health disorders and their symptoms is a central goal of research in psychiatry. Yet, identifying robust brain-psychopathology associations with neuroimaging remains difficult, in part due to substantial heterogeneity within and comorbidity between diagnostic categories. Transdiagnostic latent factor models aim to address this structure by separating shared and unique symptom variance. This can potentially yield more reliable and neurobiologically-relevant dimensions of psychopathology. However, the extent to which latent factor models improve brain-psychopathology associations remains largely unclear. Using two large developmental cohorts, we compared transdiagnostic bifactor models, correlated factor models, and typical summary scores derived from the Child Behaviour Checklist (CBCL) in their reliability and multivariate associations with whole-brain structure (MRI) and function (resting-state fMRI). We found no consistent evidence that latent factors (bifactor or correlated factor models) strengthened reliability or brain-psychopathology associations, relative to summary scores. Whole-brain predictive models revealed broadly distributed neural signatures that were highly similar between corresponding factor and summary score constructs, with general psychopathology factors and total problem summary scores approaching numerical equivalence. Bifactor scores did, however, display more distinct neural signatures between general, internalising, and externalising dimensions than did summary or correlated factor scores. These results suggest that phenotypic modelling of psychopathology alone does not systematically strengthen the predictive utility of psychiatric neuroimaging, possibly reflecting fundamental limits on the amount of explainable symptom variance by brain features. While latent factor models may aid in distinguishing neural correlates between constructs, improving phenotypic assessment may be necessary for improvements to brain-psychopathology association strength.

  PublisherOA PDFDOI

• Copy Number Variant Architecture of Child Psychopathology and Cognitive Development in the ABCD Study

  American Journal of Psychiatry · 2025-06-11 · 4 citations

  article

  OBJECTIVE: Late childhood is a crucial period for individuals with psychiatric disorders. While common single-nucleotide polymorphisms explain a large proportion of inherited risk, structural variations including copy number variants (CNVs) play a significant role in the genetic architecture of neurodevelopmental disorders. The relevance of CNVs to child psychopathology and cognitive function in the general population remains underexplored. The authors conducted a comprehensive exploration of the CNV architecture underlying dimensions of psychopathology and cognitive phenotypes within the Adolescent Brain Cognitive Development (ABCD) Study. METHODS: Using two algorithms for CNV detection, the authors identified duplications and deletions across 11,876 individuals from the ABCD Study. Quality control procedures considered array log R ratio and B allele frequency profiles, CNV size, agreement between the two algorithms, and genomic location of CNVs. CNVs that passed quality control were used to identify regions associated with quantitative measures of broad psychiatric symptom domains and cognitive functioning. Additionally, CNV risk scores, reflecting the aggregated burden of genetic intolerance to inactivation and dosage sensitivity, were calculated to assess cumulative impact on overall and dimensional psychiatric and cognitive phenotypes. RESULTS: Across 8,564 individuals whose data passed quality control, 4,111 carried 5,760 autosomal CNVs. Although no CNV regions reached significance after strict multiple testing correction was applied, 16 regions were associated with psychopathology and cognitive development at an uncorrected genome-wide significance level. A duplication at 14q11.2 showed the strongest association with attentional psychopathology. Moreover, individuals carrying CNVs previously associated with neurodevelopmental disorders exhibited greater impairment in social functioning and cognitive performance across fluid intelligence, working memory, and processing speed. Notably, higher CNV risk scores were significantly correlated with greater attention problems and cognitive impairment across multiple domains (fluid intelligence, attention, working memory, flexible thinking, and processing speed). CONCLUSIONS: These findings shed light on the contributions of CNVs to interindividual variability in complex traits related to neurocognitive development and child psychopathology.

  PublisherDOI

Frequent coauthors

• Raquel E. Gur

  Children's Hospital of Philadelphia

  816 shared

• Ruben C. Gur

  Children's Hospital of Philadelphia

  776 shared

• Monica E. Calkins

  University of Pennsylvania

  507 shared

• Ran Barzilay

  University of Pennsylvania

  484 shared

• Theodore D. Satterthwaite

  Children's Hospital of Philadelphia

  469 shared

• David R. Roalf

  301 shared

• Kosha Ruparel

  240 shared

• Daniel H. Wolf

  University of Pennsylvania

  239 shared

Education

• Ph.D., Psychology

  University of California Los Angeles

  2012

• M.Sc., Psychology

  University of Exeter

  2005

• B.A., Economics

  Pomona College

  2004