We are constantly exposed to input from the outside world, but we do not perceive nor remember everything we encounter. The state of our brains right before we receive such sensory inputs influences whether or not we process them. Brain oscillations are proposed to play a key role in setting these brain states; however, how exactly these brain rhythms influence perception and other cognitive processes remains a topic of active research. The Brain Rhythms Lab investigates how brain rhythms gate information through the brain, how they facilitate interactions with the rest of the body, and how these rhythms influence cognitive functions.

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The brain is the most complex organ in the body, composed of billions of neurons and trillions of connections between those neurons. Those connections are known as synapses and have been for many years the subject of intense study. What is less clear, however, is how synapses are organized at a population level throughout the brain. To start to address this, we developed a method that analyzes individual synapses using spatial and intensity metrics and scaled this approach to analyze hundreds of thousands of synapses concurrently. By doing so, we found that synapses fall into previously unknown subgroups. The proposed project, which is a collaboration between 2 groups (the Au lab in Pathology and Cell Biology and Menon lab in Neurology), will be to develop the robustness of our approach by working to normalize our findings across batches and conditions.

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Adverse pregnancy outcomes (APOs), such as preeclampsia and preterm birth, are common and devastating. The human and economic costs of APOs are tremendous, and the United States has among the highest APO rates among developed nations. APOs are especially common in non-White and low-income communities. For example, in the United States Black women are 50% more likely to deliver preterm compared to White women. Research has shown that the increased risk of adverse outcomes in overburdened populations is not fully explained by socioeconomic status or other socio-demographic factors. In addition to having elevated risk for adverse outcomes, non-White women in the United States may be less likely to receive certain interventions, such as treatment for postpartum depression, but are more likely to receive others, such as cesarean section, suggesting that there may be unwarranted and discriminatory variation in pregnancy care.

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Columbia Data Science Institute (DSI) Scholars Program

The DSI Scholars Program is to engage and support undergraduate and master students in participating data science related research with Columbia faculty. The program’s unique enrichment activities will foster a learning and collaborative community in data science at Columbia.

Columbia University DSI

New York, NY