Measuring Psychological Inflexibility of Suicidal Thoughts: The Acceptance and Action Questionnaire for Suicidal Ideation (AAQ-SI)

Cognitive Therapy and Research - Despite interest in psychological inflexibility as a marker of suicide risk, no measure of psychological inflexibility specific to SI exists. The present study...     

Gender,power and intimate relationships over the life course among Ethiopian female peer educators living with HIV

Historically, Ethiopian women have faced numerous challenges to gender equity at the individual, relational and community levels; such inequalities can lead to increased risk of HIV acquisition. Over the past two decades, some progress has been made towards changing policies and norms to reduce gender inequality. We sought to understand the ways in which marriage and other romantic/sexual relationships of a group of Ethiopian women living with HIV had been impacted by gender norms, relational power dynamics and HIV status over the life course. We conducted in-depth interviews with 19 women living with HIV who were working as peer educators at a large clinic in Addis Ababa, Ethiopia. Reflecting on their early lives, participants often described traumatic prior relationships characterised by rape, forced marriage and HIV nondisclosure. In the aftermath of being diagnosed with HIV, participants’ more recent relationships embodied a more egalitarian dynamic characterised by mutual support for HIV care engagement and open communication. Participants’ narratives illustrate encouraging examples of ways in which HIV-positive women can form and maintain equitable and satisfying personal relationships even in the context of obstacles at multiple levels.     

What is the Effect of Stimulus Complexity on Attention to Repeating and Changing Information in Autism?

Journal of Autism and Developmental Disorders - Slower habituation to repeating stimuli characterises Autism, but it is not known whether this is driven by difficulties with information processing...     

Multi‐scale network regression for brain‐phenotype associations

Brain networks are increasingly characterized at different scales, including summary statistics, community connectivity, and individual edges. While research relating brain networks to behavioral measurements has yielded many insights into brain‐phenotype relationships, common analytical approaches only consider network information at a single scale. Here, we designed, implemented, and deployed Multi‐Scale Network Regression (MSNR), a penalized multivariate approach for modeling brain networks that explicitly respects both edge‐ and community‐level information by assuming a low rank and sparse structure, both encouraging less complex and more interpretable modeling. Capitalizing on a large neuroimaging cohort (n = 1, 051) , we demonstrate that MSNR recapitulates interpretable and statistically significant connectivity patterns associated with brain development, sex differences, and motion‐related artifacts. Compared to single‐scale methods, MSNR achieves a balance between prediction performance and model complexity, with improved interpretability. Together, by jointly exploiting both edge‐ and community‐level information, MSNR has the potential to yield novel insights into brain‐behavior relationships.