Publications by authors named "M Samantha Peverill"
Analysis of resting state fMRI (rs-fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree of motion, relates to a broad set of participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance data quality concerns against the possibility of biasing results by eliminating data.
View Article and Find Full Text PDFImportance: While adverse childhood experiences (ACEs) are known to impart significant risk for negative mental health and cognitive outcomes in youth, translation of ACE scores into clinical intervention is limited by poor specificity in predicting negative outcomes. This work expands on the ACE framework using a data-driven approach to identify 8 different forms of traumatic and adverse childhood experiences (TRACEs) and reveal their differential associations with psychiatric risk and cognition across development.
Objective: Building upon the traditional ACEs model, this study aimed to characterize unique components of commonly co-occurring TRACEs and to examine moderation of longitudinal change in mental health and cognitive development during adolescence.
Background: Fear learning is a core component of conceptual models of how adverse experiences may influence psychopathology. Specifically, existing theories posit that childhood experiences involving childhood trauma are associated with altered fear learning processes, while experiences involving deprivation are not. Several studies have found altered fear acquisition in youth exposed to trauma, but not deprivation, although the specific patterns have varied across studies.
View Article and Find Full Text PDFArticle Synopsis
- PTSD genetics have been difficult to study compared to other psychiatric disorders, limiting our biological understanding of the condition.
- A large-scale meta-analysis involving over 1.2 million individuals identified 95 genome-wide significant loci, with 80 being new discoveries related to PTSD.
- Researchers identified 43 potential causal genes linked to neurotransmitter activity, developmental processes, synaptic function, and immune regulation, enhancing our knowledge of the neurobiological systems involved in PTSD.
Article Synopsis
- * Researchers utilized various MRI data types to identify brain features that can distinguish PTSD from controls, revealing that classification accuracy decreases significantly when using multi-site data compared to single-site studies.
- * The denoising variational autoencoder (DVAE) model showed improved generalization on new datasets, indicating its potential for better classification of PTSD, although overall performance still remained only slightly above chance levels.