@article{ETD,
      school = {Ph.D.},
      author = {Kliamovich, Dakota},
      url = {http://digitalcollections.ohsu.edu/record/42387},
      title = {Characterizing neural and psychosocial predictors of  internalizing psychopathology in early adolescence},
      publisher = {Oregon Health and Science University},
      abstract = {The etiology of adolescent internalizing psychopathology  (e.g., anxiety and depression) is not yet fully understood,  and for that reason it has been difficult to identify  reliable biomarkers that predict symptoms. This  dissertation work establishes both neurobiological and  psychosocial predictors of internalizing psychopathology in  adolescence by leveraging several advanced statistical and  machine learning techniques in a large and demographically  diverse sample. Aim 1 of this project uses resting-state  fMRI data to identify a profile of functional connectivity  (a 'polyneuro risk score') that is associated with  internalizing symptoms, whereas Aim 2 focuses on combining  psychosocial, environmental, and behavioral variables to  predict symptoms. The findings from these two analyses  highlight the utility of multivariate modeling strategies  for prediction and also help to reconcile decades of prior  literature examining key factors related to the emergence  of anxiety and depression in youth.},
      number = {ETD},
      doi = {https://doi.org/10.6083/bpxhc42387},
      recid = {42387},
      address = {2023-12-15},
}