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Tyler M. Moore

Researcher at University of Pennsylvania

Publications -  256
Citations -  10192

Tyler M. Moore is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Psychopathology & Cognition. The author has an hindex of 41, co-authored 210 publications receiving 6539 citations. Previous affiliations of Tyler M. Moore include University of California, Los Angeles & Duke University.

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Bifactor Models and Rotations: Exploring the Extent to Which Multidimensional Data Yield Univocal Scale Scores

TL;DR: It is suggested that in many contexts, multidimensional data can yield interpretable scale scores and be appropriately fitted to unidimensional IRT models.
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The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight.

Francine E. Garrett-Bakelman, +88 more
- 12 Apr 2019 - 
TL;DR: Given that the majority of the biological and human health variables remained stable, or returned to baseline, after a 340-day space mission, these data suggest that human health can be mostly sustained over this duration of spaceflight.
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Resilience, COVID-19-related stress, anxiety and depression during the pandemic in a large population enriched for healthcare providers.

TL;DR: A brief resilience survey probing self-reliance, emotion-regulation, interpersonal-relationship patterns and neighborhood-environment was developed and applied online during the acute COVID-19 outbreak and on a crowdsourcing research website advertised through social media, setting a stage for longitudinal studies evaluating mental health trajectories following CO VID-19 pandemic.
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Linked dimensions of psychopathology and connectivity in functional brain networks.

TL;DR: It is shown that the symptom dimensions of mood, psychosis, fear and externalizing behavior exhibit unique patterns of functional dysconnectivity, delineate connectivity-guided dimensions of psychopathology that cross clinical diagnostic categories, which could serve as a foundation for developing network-based biomarkers in psychiatry.
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Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

TL;DR: In this article, structural network modules become more segregated with age, with weaker connections between modules and stronger connections within modules, and they are associated with enhanced executive performance and mediate the improvement of executive functioning with age.