Fetal androgen exposure and childhood experiences are believed to contribute to the development and organization of the hypothalamic-pituitary-adrenal (HPA) and hypothalamic-pituitary-gonadal (HPG) axes, which are responsible for the regulation and release of stress and sex hormones, respectively. Evidence suggests the HPA and HPG axes can couple in response to childhood adversity, and that hormonal dysregulation contributes to psychopathological disorders such as anxiety and depression. Recent research also suggests self-compassion interventions could reduce PTSD symptoms, and that the experience of childhood trauma is related to increased empathy. Still, little is known regarding the impact of fetal androgen exposure on PTSD susceptibility and the relationships between self-compassion, compassion for others, and empathy. The current study aims to determine whether fetal androgen exposure mitigates PTSD susceptibility, and to clarify the relationships between empathy, compassion for others, self-compassion, and PTSD symptoms. A sample of 208 adults completed an online survey designed to measure fetal androgen exposure, childhood maltreatment, self-compassion, compassion for others, empathy, and PTSD symptoms. Findings show a significant difference in PTSD symptoms between individuals in high and low fetal androgen exposure groups, and significant correlations were discovered between empathy and compassion for others, empathy and self-compassion, but not compassion for others and self-compassion. Future studies could explore the extent to which fetal androgen exposure influences PTSD symptom susceptibility and the clinical implications therein.

This study looked at the accuracy in sexual orientation judgment in college-age students from Arizona State University’s West Campus while viewing female actors. One actor was straight and the other bisexual. Participants viewed a 3-minute-long video with audio and visual of a mock forensic interview between Taylor Addams (played by one of the actors) and Officer Carter (played by Kiersten Carter), and were not told this was a test of their gaydar. It was found that though each group was biased toward straight responses, the straight actor group scored significantly higher on the straightness measure than the bisexual actor group. There was also no significant difference between the two groups in their confidence in their answers.

Critical flicker fusion thresholds (CFFTs) describe when quick amplitude modulations of a light source become undetectable as the frequency of the modulation increases and are thought to underlie a number of visual processing skills, including reading. Here, we compare the impact of two vision-training approaches, one involving contrast sensitivity training and the other directional dot-motion training, compared to an active control group trained on Sudoku. The three training paradigms were compared on their effectiveness for altering CFFT. Directional dot-motion and contrast sensitivity training resulted in significant improvement in CFFT, while the Sudoku group did not yield significant improvement. This finding indicates that dot-motion and contrast sensitivity training similarly transfer to effect changes in CFFT. The results, combined with prior research linking CFFT to high-order cognitive processes such as reading ability, and studies showing positive impact of both dot-motion and contrast sensitivity training in reading, provide a possible mechanistic link of how these different training approaches impact reading abilities.

Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no classifiers have been strictly validated for independent cohorts. Here we overcome these difficulties by developing a novel machine-learning algorithm that identifies a small number of FCs that separates ASD versus TD. The classifier achieves high accuracy for a Japanese discovery cohort and demonstrates a remarkable degree of generalization for two independent validation cohorts in the USA and Japan. The developed ASD classifier does not distinguish individuals with major depressive disorder and attention-deficit hyperactivity disorder from their controls but moderately distinguishes patients with schizophrenia from their controls. The results leave open the viable possibility of exploring neuroimaging-based dimensions quantifying the multiple-disorder spectrum.