Research Thread

Sleep, Wearables & Digital Phenotyping

Digital and behavioral data streams for understanding modifiable determinants of neurocognition.

This thread connects actigraphy, polysomnography summaries, tablet-based neuropsychological testing, wearable data streams, self-report measures, and reproducible analytics. It frames digital phenotyping as a way to make modifiable brain health signals visible.

Scientific Question

How can digital and behavioral data streams help identify modifiable determinants of neurocognition?

Software
Computational Phenotyping Pipelines Reusable analysis pipelines for latent structure, clustering, and subgroup discovery. Scientific Reporting Frameworks Reproducible reporting systems that turn analysis workflows into publication-ready scientific outputs. SciDataReportR An open-source framework for reproducible biomedical data analysis and reporting.
Research Areas
Computational Phenotyping Discovering latent structure and meaningful subgroups in complex brain health data. Translational Neuroinformatics Computational infrastructure linking cohorts, biomarkers, cognition, and brain health outcomes.
Connected Publications
Figure from BRACE-ing for the future: Establishing iPad-based norms for cognitive function in the MACS/WIHS Combined Cohort Study (Preprint)
2025 article highlighted

BRACE-ing for the future: Establishing iPad-based norms for cognitive function in the MACS/WIHS Combined Cohort Study (Preprint)

Leah Rubin, Pauline Maki, Joan Severson, Adam Lieberman, Eran Shorer, Sabina Haberlen, Deborah Gustafson, Michelle Floris-Moore, Valentina Stosor, Matthew Mimiaga, Jamie Peven, Deborah Jones, Anandi Sheth, Kathleen Weber, Amanda Spence, Anjali Sharma, David Vance, Raha Dastgheyb

JMIR mental health

Establishes regression-based iPad cognitive norms for BRACE in the MACS/WIHS Combined Cohort Study.

Figure from Tryptophan-kynurenine metabolic pathway and daytime dysfunction in women with HIV
2024 article archive

Tryptophan-kynurenine metabolic pathway and daytime dysfunction in women with HIV

Eran Frank Shorer, Leah H. Rubin, Audrey L. French, Kathleen M. Weber, Elizabeth Daubert, Tsion Yohannes, Ralph Morack, Clary Clish, Kevin Bullock, Deborah Gustafson, Anjali Sharma, Andrea C. Rogando, Qibin Qi, Helen J. Burgess, Raha M. Dastgheyb

Journal of neurovirology

This paper helps define a research thread in biomarker systems and cognitive health, providing context for how computational and translational evidence can be organized into reusable scientific systems.

Figure from Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women’s Interagency HIV Study?
2024 article archive

Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women’s Interagency HIV Study?

David E. Vance, Yanxun Xu, Raha Dastgheyb, Pauline M. Maki, Jiayue Zhang, Gayle Springer, Kathryn Anastos, Deborah R. Gustafson, Kathleen M. Weber, Derek M. Dykxhoorn, Joel Milam, Monica M. Diaz, Seble G. Kassaye, Drenna Waldrop, Junghee Lee, Mirjam‑Colette Kempf, Deborah Konkle‑Parker, Karl Goodkin, Andrew J. Leviner, Matthew Wright, Deborah Jones, Leah H. Rubin

Applied Neuropsychology: Adult

This paper helps define a research thread in translational brain health research, providing context for how computational and translational evidence can be organized into reusable scientific systems.

Related Talks

Biomedical Data Science for Brain Health

From patient cohorts to cellular circuits through reproducible computational systems.

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