Grace Ringlein
A5051606376- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- EEG and Brain-Computer Interfaces
- Employment and Welfare Studies
- Advanced Neuroimaging Techniques and Applications
- Digital Mental Health Interventions
- Marine and coastal ecosystems
- Neuroscience and Music Perception
- Climate variability and models
- Mental Health Treatment and Access
- Geology and Paleoclimatology Research
- Telemedicine and Telehealth Implementation
- Media Influence and Health
- Autism Spectrum Disorder Research
- Global Health Care Issues
- Obsessive-Compulsive Spectrum Disorders
- Stress Responses and Cortisol
- Neural dynamics and brain function
- Psychological Well-being and Life Satisfaction
- COVID-19 and Mental Health
- Health disparities and outcomes
- Child Development and Digital Technology
- Sex and Gender in Healthcare
- Impact of Technology on Adolescents
National Institute of Mental Health
2021-2025
Johns Hopkins University
2020-2025
National Institutes of Health
2023-2025
University of Pennsylvania
2020
Massachusetts Institute of Technology
2020
Health Decisions (United States)
2020
Abstract The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging children adults (5–90...
Importance Given the expiration of expanded unemployment and other benefits during COVID-19 pandemic, it is important to understand association between pandemic income or job loss long-term implications on mental health. Objective To evaluate due later psychological distress. Design, Setting, Participants This cohort study used 5 waves nationally representative, longitudinal survey data (September 16, 2019, through September 18, 2022) from Pew Research Center’s American Trends Panel. Doubly...
Abstract While telehealth may improve access to healthcare for some, it also widen gaps in across different economic groups. Using electronic health records outpatient mental care of patients with depression a large US academic system, we assessed changes utilization from 2016 2024 (primary care: n = 42,640 patients, 270,754 visits; psychiatry: 12,846 336,918 visits) and odds using relative in-person 2020 2024, national area deprivation index (ADI) percentiles. We found that over 3 years...
Movie-watching fMRI has emerged as a theoretically viable platform for studying neurobiological substrates of affective states and emotional disorders such pathological anxiety. However, using anxiety-inducing movie clips to probe relevant impacted by psychopathology could risk exacerbating in-scanner movement, decreasing signal quality/quantity thus statistical power. This be especially problematic in target populations children who typically move more the scanner. Consequently, we...
Abstract Background Because pediatric anxiety disorders precede the onset of many other problems, successful prediction response to first-line treatment, cognitive-behavioral therapy (CBT), could have a major impact. This study evaluates whether structural and resting-state functional magnetic resonance imaging can predict post-CBT symptoms. Methods Two datasets were studied: (A) one consisted n = 54 subjects with an diagnosis, who received 12 weeks CBT, (B) 15 treated for 8 weeks....
This paper presents a complete automated classification system for labeling Exposure Process Coding System (EPCS) quality codes during in-person exposure therapy sessions. Our is based on automatic speech recognition (ASR) and natural language processing techniques. It trained tested 360 manually labeled sessions from three pediatric OCD clinical trials. To establish feasibility, we focus detecting two EPCS technique behaviors: exposures encourage events. We investigate the impact of audio...
Abstract Numerous climate models display large-amplitude, long-period variability associated with quasiperiodic convection in the Southern Ocean, but mechanisms responsible for producing such oscillatory are poorly understood. In this paper we identify three feedbacks that help generate oscillations within an Earth system model a particularly regular oscillation. The first feedback involves increased (decreased) upward mixing of warm interior water to surface, resulting more (less)...
Movie-watching fMRI has emerged as a theoretically viable platform for studying neurobiological substrates of affective states and emotional disorders such pathological anxiety. However, using anxiety-inducing movie clips to probe relevant impacted by psychopathology could risk exacerbating in-scanner movement, decreasing signal quality/quantity thus statistical power. This be especially problematic in target populations children who typically move more the scanner. Consequently, we...
Movie-watching fMRI has emerged as a theoretically viable platform for studying neurobiological substrates of affective states and emotional disorders such pathological anxiety. However, using anxiety-inducing movie clips to probe relevant impacted by psychopathology could risk exacerbating in-scanner movement, decreasing signal quality/quantity thus statistical power. This be especially problematic in target populations children who typically move more the scanner. Consequently, we...
Abstract Background Because pediatric anxiety disorders precede the onset of many other problems, successful prediction response to first-line treatment, cognitive-behavioral therapy (CBT), could have major impact. However, existing clinical models are weakly predictive. The current study evaluates whether structural and resting-state functional magnetic resonance imaging can predict post-CBT symptoms. Methods Two datasets were studied: (A) one consisted n=54 subjects with an diagnosis, who...
Neuroimaging studies point to neurostructural abnormalities in youth with anxiety disorders. Yet, findings are based on small-scale studies, often small effect sizes, and have limited generalizability clinical relevance. These issues prompted a paradigm shift the field towards highly powered (i.e., big data) individual-level inferences, which data-driven, transdiagnostic, neurobiologically informed. Here, we built validated machine learning (ML) models for inferences largest-ever multi-site...