Through Our Eyes, Hear Our Stories: A Virtual Photovoice Project to Document and Archive Asian American and Pacific Islander Community Experiences During COVID-19.

Through Our Eyes, Hear Our Voices is a virtual photovoice project that documents the impact of COVID-19 on Asian American and Pacific Islander (AAPI) communities. Quantitative studies on the disproportionate impact of COVID-19 are still emerging, but they do not reveal qualitative experiences of a racialized pandemic exacerbated by political leaders labeling it "China virus." As a qualitative participatory action research approach, photovoice is an ideal archival and pedagogical tool to capture the lived experience of AAPI communities. However, we had to adapt photovoice to a virtual research environment. We did so by adopting a variety of digital learning and information sharing platforms. In addition, we enlisted community-based organizations who are providing essential services for underrepresented communities to serve as research mentors for university student researchers. Finally, given the historic nature of the pandemic and the underrepresentation of AAPI experiences in mainstream archives, we emphasized the importance of students as co-producers of archival knowledge.

Scalp EEG markers of normal infant development using visual and computational approaches.

The infant brain is rapidly developing, and these changes are reflected in scalp electroencephalography (EEG) features, including power spectrum and sleep spindle characteristics. These biomarkers not only mirror infant development, but they are also altered by conditions such as epilepsy, autism, developmental delay, and trisomy 21. Prior studies of early development were generally limited by small cohort sizes, lack of a specific focus on infancy (0-2 years), and exclusive use of visual marking for sleep spindles. Therefore, we measured the EEG power spectrum and sleep spindles in 240 infants ranging from 0-24 months. To rigorously assess these metrics, we used both clinical visual assessment and computational techniques, including automated sleep spindle detection. We found that the peak frequency and power of the posterior dominant rhythm (PDR) increased with age, and a corresponding peak occurred in the EEG power spectra. Based on both clinical and computational measures, spindle duration decreased with age, and spindle synchrony increased with age. Our novel metric of spindle asymmetry suggested that peak spindle asymmetry occurs at 6-9 months of age.Clinical Relevance- Here we provide a robust characterization of the development of EEG brain rhythms during infancy. This can be used as a basis of comparison for studies of infant neurological disease, including epilepsy, autism, developmental delay, and trisomy 21.