Laura Jett
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Impact of Technology on Adolescents
- Neural dynamics and brain function
- Media Influence and Health
- Child Development and Digital Technology
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Mind wandering and attention
- Neuroscience and Music Perception
National Institute of Mental Health
2023-2025
University of Wisconsin–Madison
2023-2025
National Institutes of Health
2023
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...
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...
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...