Cross-Spectral Factor Analysis
Neil Gallagher · Kyle Ulrich · Austin Talbot · Kafui Dzirasa · Lawrence Carin · David Carlson

Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #153 #None

In neuropsychiatric disorders such as schizophrenia or depression, there is often a disruption in the way that regions of the brain communicate with one another. To facilitate understanding of network-level communication between brain regions, we introduce a novel model of multisite low-frequency neural recordings, such as local field potentials (LFPs) and electroencephalograms (EEGs). The proposed model, named Cross-Spectral Factor Analysis (CSFA), breaks the observed signal into factors defined by unique spatio-spectral properties. These properties are granted to the factors via a Gaussian process formulation in a multiple kernel learning framework. In this way, the LFP signals can be mapped to a lower dimensional space in a way that retains information of relevance to neuroscientists. Critically, the factors are interpretable. The proposed approach empirically shows similar performance in classifying mouse genotype and behavioral context when compared to commonly used approaches that lack the interpretability of CSFA. CSFA provides a useful tool for understanding neural dynamics, particularly by aiding in the design of causal follow-up experiments.

Author Information

Neil Gallagher (Duke University)
Kyle Ulrich
Austin Talbot (Duke University)
Kafui Dzirasa (Duke University)

Kafui Dzirasa completed a PhD in Neurobiology at Duke University. His research interests focus on understanding how changes in the brain produce neurological and mental illness, and his graduate work has led to several distinctions including: the Somjen Award for Most Outstanding Dissertation Thesis, the Ruth K. Broad Biomedical Research Fellowship, the UNCF·Merck Graduate Science Research Fellowship, and the Wakeman Fellowship. Kafui obtained an MD from the Duke University School of Medicine in 2009, and he completed residency training in General Psychiatry in 2016. Kafui received the Charles Johnson Leadership Award in 2007, and he was recognized as one of Ebony magazine’s 30 Young Leaders of the Future in February 2008. He has also been awarded the International Mental Health Research Organization Rising Star Award, the Sydney Baer Prize for Schizophrenia Research, and his laboratory was featured on CBS 60 Minutes in 2011. In 2016, he was awarded the inaugural Duke Medical Alumni Emerging Leader Award and the Presidential Early Career Award for Scientists and Engineers: The Nation’s highest award for scientists and engineers in the early stages of their independent research careers. In 2017, he was recognized as 40 under 40 in Health by the National Minority Quality Forum, and the Engineering Alumni of the Year from UMBC. He was induced into the American Society for Clinical Investigation in 2019. Kafui has served as an Associate Scientific Advisor for the journal Science Translational Medicine, and he was a member of the Congressional-mandated Next Generation Research Initiative. He currently serves on the Editorial Advisory Board for TEDMED, and the NIH Director’s guiding committee for the BRAIN Initiative. Kafui is an Associate Professor at Duke University with appointments in the Departments of Psychiatry and Behavioral Sciences, Neurobiology, Biomedical Engineering, and Neurosurgery. His ultimate goal is to combine his research, medical training, and community experience to improve outcomes for diverse communities suffering from Neurological and Psychiatric illness.

Lawrence Carin (Duke University)
David Carlson (Duke University)

More from the Same Authors