Self-regulation refers to the ability to monitor and control our own behavior, emotions, or thoughts, altering them in accordance with the demands of the situation. As such, our work has relevance across a range of neuropsychiatric disorders. We apply a range of statistical modeling approaches (multi-level modeling, robust estimation) in our work.
We apply multimodal imaging, neuroendocrine and physiological assessment to understand the brain-based predictors of anxiety and depression in typical youth, clinical populations and adolescent substance use risk. Our team’s work revolves around five core themes: 1. escape and avoidance behavior as a self-regulatory process; 2. threat detection / hazard detection in anxiety and risk-taking contexts (driving simulation); 3. the role of self and self-compassion in self-regulation; 4. mindfulness skills as self-regulatory processes and in treatment; 5. neurofeedback for anxiety and self-regulation.
The Crowley Lab is led by Michael Crowley, PhD, Assistant Professor in the Child Study Center
- Ages 4 – Adult
- Anxiety Disorders, Mood Disorders, Substance Use Risk, Autism Spectrum Disorder, Typical Development
- Participants will be compensated, ranging from ~50$-100$
- Participants may receive treatment (Mindfulness).