Publications by authors named "H J Hamrick"
Maladaptive emotion regulation (ER) strategies are a transdiagnostic construct in psychopathology. ER depends on cognitive control, so brain activity associated with cognitive control, such as frontal theta and beta, may be a factor in ER. This study investigated the association of theta and beta power with positive affect and whether emotion regulation strategies explain this association.
View Article and Find Full Text PDFAttentional biases to socially threatening facial expressions (anger, disgust) have been repeatedly observed in socially anxious individuals. These biases are thought to arise, in part, because anticipatory processing of social situations increases the salience of negative social cues. Additionally, self-focused attention on somatic symptoms of anxiety (e.
View Article and Find Full Text PDFArticle Synopsis
- Cognitive theories suggest that social anxiety disorder is linked to increased attention on anxious feelings due to fear of rejection.
- The study investigated how undergraduate students' brains respond to images of anxious people by measuring their neural activity (P2 and LPP waves) while viewing various types of images.
- Results indicated a connection between neural responses to anxious images and social anxiety symptoms, with specific effects linked to anxiety sensitivity in social situations.
Social anxiety disorder is maintained in part by rumination about past social experiences, known as post-event processing. The Extended Post-Event Processing Questionnaire (EPEPQ-15) assesses post-event processing as three correlated factors. Competing against this structure is a bifactor model that has not yet been evaluated for the EPEPQ-15.
View Article and Find Full Text PDFPurpose: To facilitate identification of clinical trial participation candidates, we developed a machine learning tool that automates the determination of a patient's metastatic status, on the basis of unstructured electronic health record (EHR) data.
Methods: This tool scans EHR documents, extracting text snippet features surrounding key words (such as metastatic, progression, and local). A regularized logistic regression model was trained and used to classify patients across five metastatic categories: highly likely and likely positive, highly likely and likely negative, and unknown.