Cultural neuroscience and the research domain criteria: Implications for global mental health

Enrollment of Spanish-speaking Latinx adults in clinical trials: Five lessons learned from a randomized study in substance use treatment

Latinx individuals are the largest ethnic minoritized group in the United States (US) at 19% of the population. However, they remain underrepresented in clinical research, accounting for less than 8% of clinical trial participants. Consideration of cultural values could help overcome barriers to inclusion in clinical trials and result in better recruitment and retention of Latinx individuals. In this commentary, we describe general guidance on culturally responsive modifications to facilitate the successful recruitment and retention of Spanish-speaking Latinx participants in Randomized Clinical Trials (RCTs) for substance use. We identify five culturally responsive strategies to help enroll participants in RCTs: 1. Create an ethnically diverse research team, 2. Assess available community partners, 3. Familiarize oneself with the target community, 4. Establish confianza (trust) with participants, and 5. Remain visible to participants and staff from recruitment sites. Representation of Latinx individuals in clinical trials is essential to ensure treatments are responsive to their needs and equitydriven. Some of these strategies can further research in helping to promote the participation of Latinx individuals experiencing substance use concerns, including outreach to those not seeking treatment.

Visualizing Research Trends on Culture Neuroscience (2008–2021): A Bibliometric Analysis

Recently, cultural neuroscience has gained attention as a new, important, and interdisciplinary topic in the field of neuroscience. It helps us understand the interaction of cultural and biological factors over the course of life. This study aims to provide a comprehensive overview of the field to readers and potential researchers engaged in cultural neuroscience research. A bibliometric analysis was performed on 113 articles in the field of cultural neuroscience from 2008 to 2021 using data from the core collection of Web of Science. Network visualization software VOSviewer and ITGInsight were used for performance analysis and science mapping. Specifically, the performance analysis included countries, institutions, authors, papers, and journals, while science mapping analyzed the collaboration network, keyword network, bibliographic coupling network, and time series evolution. The results showed that the United States was the most productive country, Northwestern University was the most influential research institution, Chiao Jy was the most influential scholar, and “Social Cognitive and Affective Neuroscience” made the greatest contribution to publishing in the field of cultural neuroscience. Furthermore, collaboration is expected to be the development trend in the future. The key research topics in the field of cultural neuroscience included neuroimaging and psychiatric diseases, theoretical methods, interdisciplinary research, cultural differences (collectivism and individualism), and brain functions. Finally, future research will focus on cultural neuroscience, culture, and self, while adolescence will be the emerging research frontier.

Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use

Large, open datasets have emerged as important resources in the field of human connectomics. In this review, the evolution of data sharing involving magnetic resonance imaging is described. A summary of the challenges and progress in conducting reproducible data analyses is provided, including description of recent progress made in the development of community guidelines and recommendations, software and data management tools, and initiatives to enhance training and education. Finally, this review concludes with a discussion of ethical conduct relevant to analyses of large, open datasets and a researcher's responsibility to prevent further stigmatization of historically marginalized racial and ethnic groups. Moving forward, future work should include an enhanced emphasis on the social determinants of health, which may further contextualize findings among diverse population-based samples. Leveraging the progress to date and guided by interdisciplinary collaborations, the future of connectomics promises to be an impressive era of innovative research, yielding a more inclusive understanding of brain structure and function.