Increasing diversity in neuroimaging research: Participant-driven recommendations from a qualitative study of an under-represented sample.

Enhancing the generalizability of neuroimaging studies requires actively engaging participants from under-represented communities. This paper leverages qualitative data to outline participant-driven recommendations for incorporating under-represented populations in neuroimaging protocols. Thirty-one participants, who had participated in neuroimaging research or could be eligible for one as part of an ongoing longitudinal study, engaged in semi-structured one-on-one interviews (84 % under-represented ethnic-racial identities and low-income backgrounds).

An Exploration of the Impact of Racism and Discrimination on the Mental Health of Latinx Youth.

Latinx youth are at high risk of health and health care disparities. They are particularly vulnerable to mental health challenges due to the interplay of racism, health, and health care, which can be overwhelming for Latinx youth and their families to navigate. In this article, we provide an overview of the socio-demographics of Latinx youth living in the United States.

Factors That Impact Effective Public Health Communication With Michigan's Latinx Population in the Context of COVID-19.

The far-reaching impact of the COVID-19 pandemic on Latinx communities is well-documented. This population has higher rates of COVID-19 infection and death compared with non-Latinx White Americans mainly due to long-standing problems related to Social Determinants of Health. Communication about issues such as health threats and safety measures are a vital part of public health, and need to be appropriate to the population of focus.

"Life as We Knew It": Continued Challenges in Getting Up-to-Date COVID-19 Vaccinations Amongst Black and Latinx Michigan Residents.

Background: Minority communities are disproportionately impacted by COVID-19. In Michigan in 2024, 59% of Latinx residents, 46% of Black residents, and 57% of White residents have received at least one dose of the vaccine. However, just 7% of Black residents and 6% of Latinx residents report being up-to-date per CDC definition, versus 13% of White residents.

Evaluation of somatic copy number variation detection by NGS technologies and bioinformatics tools on a hyper-diploid cancer genome.

Background: Copy number variation (CNV) is a key genetic characteristic for cancer diagnostics and can be used as a biomarker for the selection of therapeutic treatments. Using data sets established in our previous study, we benchmark the performance of cancer CNV calling by six most recent and commonly used software tools on their detection accuracy, sensitivity, and reproducibility. In comparison to other orthogonal methods, such as microarray and Bionano, we also explore the consistency of CNV calling across different technologies on a challenging genome.