Skip to main content

Impact of Cognitive Rehabilitation on Cognitive and Functional Outcomes in Adult Cancer Survivors: A Systematic Review

August 5, 2024
This is review, led by Dr. Nakamura and in collaboration with an international working group, is the most comprehensive review to date of cognitive rehabilitation interventions to improve cognitive difficulties and daily function in patients with cancer.

From Rhetoric to Action: Justice, Equity, Diversity, and inclusion in Coordinated Specialty Care for Early Psychosis

August 5, 2024
This Open Forum argues that marginalization and disparities in early psychosis research and clinical care are interrelated, and the authors provide suggestions for paths forward. Commitment to equity and justice demands recentering the perspectives of those most affected by early psychosis services and investing in the integration of historically excluded...

Reasons for Discharge in a National Network of Early Psychosis Intervention Programs

August 5, 2024
Analyzing 1787 discharges from the Early Psychosis Intervention Network (EPINET), a NIMH national network of >100 Coordinated Specialty Care programs for individuals with early psychosis, we estimated that only 20-30% of participants completed early psychosis programing. Completion rate is positively associated with age on admission, time in education, employment, or...

Probing the neurocardiac circuit in trauma and posttraumatic stress

July 11, 2024
This study probed the neurocardiac circuit by examining associations among its core regions in the brain (e.g., hypothalamus) and the periphery (heart rate [HR], high frequency heart rate variability [HF-HRV], and blood pressure [BP]). Participants were 315 trauma-exposed adults enrolled from emergency departments as part of the prospective AURORA study....

Polygenic risk, childhood abuse and gene x environment interactions with depression development from middle to late adulthood: A U.S. national life-course study.

July 11, 2024
Utilizing national longitudinal data, this study examined how polygenic depression risk and childhood abuse interactively influence the life-course development of depressive conditions from middle to late adulthood. The results revealed that Increasing polygenic depression scores were associated with elevated CES-D levels and potential risks of clinical depression. Non-maltreated females generally...

A novel method for quantifying affective sensitivity to endogenous ovarian hormones

July 11, 2024
Increased sensitivity to ovarian hormone changes is implicated in the etiology of reproductive mood disorders across the female lifespan, including menstrually-related mood disorders, perinatal mood disorders, and perimenopausal depression. We developed a novel method to accurately quantify sensitivity to endogenous hormone fluctuations that may facilitate the prediction and prevention of...

Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery

July 11, 2024
This work highlights the utility of prefrontomotor cross-frequency coupling as a potential motor status and recovery biomarker in stroke. The frequency- and region-specific neurocircuitry featured in this work may also facilitate novel treatment strategies in stroke.

The effects of psychotherapy for anhedonia on subcortical brain volumes measured with ultra-high field MRI

July 11, 2024
This exploratory analysis examined the effects of psychotherapy on subcortical brain volumes. Psychotherapy for anhedonia was not accompanied by changes in subcortical brain volumes. However, there was a modest relation between pre-treatment anhedonia and change in caudate nucleus volumes during treatment.

Ferret as a model system for studying the anatomy and function of the prefrontal cortex: A systematic review

July 11, 2024
Here, we provide a summary of all published research pertaining to the frontal and/or prefrontal cortex of the ferret across research scales. By doing so, we hope to improve clarity in the interpretation of both previous and future publications on the comparative study of frontal cortex.

Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning

June 6, 2024
This study used machine learning methods to examine features from 26 posttraumatic symptoms assessed during the first 8 weeks following traumatic exposure in order to develop a pragmatic algorithm to predict PTSD. The resulting algorithm accurately predicted PTSD and contained the mean scores from three items: nervousness, re-hashing, and fatigue.