CBB talk series
The Cognitive Brown Bag (CBB) is a graduate student organized talk series, primarily attended by the faculty, graduate students, and staff from the cognitive labs at Dartmouth College. A list of past CBB talks can be found here.
Virtual CBB : Winter/Spring 2021
Talks will be held from 12:15-1:00pm, unless otherwise noted.
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Speaker
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Title
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Abstract |
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WINTER 2021 |
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Feb 25 |
Manish Saggar (Stanford University) |
Characterizing brain dynamics at rest and while interacting with others using topological data analysis |
In this talk, I will present results from two projects aimed at (1) characterizing brain activation patterns at rest; and (2) revealing changes in brain synchrony across multiple participants as they interact with each other. The first project explores whether transitions or “explorations” in intrinsic brain activity follow some underlying arrangement or lack a predictable ordered plan. Using a precision individual connectomics dataset and tools from topological data analysis, we aimed to reveal and characterize the overall landscape of whole-brain configurations (or states). We hypothesized that by examining the topological properties of such landscapes, we could interpret the rules (if any) that govern transitions in brain activity at rest. We have previously used a similar methodological approach to examine task-evoked transitions (Saggar et al. 2018). In the second project, we explore the neural correlations of social interactions using a three-person (or triadic) fMRI hyperscanning paradigm. In this experiment, we simultaneously measured the blood-oxygenation level-dependent (BOLD) signal from 12 triads (n = 36 participants) while they engaged in a collaborative drawing task based on the social game Pictionary (Xie et al. 2020). In this talk, I will present new results related to inter-personal brain synchrony and how that affects team performance, using topological data analysis. References: Saggar, Manish, Olaf Sporns, Javier Gonzalez-Castillo, Peter A. P.A. Bandettini, Gunnar Carlsson, Gary Glover, and Allan L. Reiss. 2018. “Towards a New Approach to Reveal Dynamical Organization of the Brain Using Topological Data Analysis.” Nature Communications 9 (1). https://doi.org/10.1038/s41467-018-03664-4. Xie, Hua, Iliana I. Karipidis, Amber Howell, Meredith Schreier, Kristen E. Sheau, Mai K. Manchanda, Rafi Ayub, et al. 2020. “Finding the Neural Correlates of Collaboration Using a Three-Person FMRI Hyperscanning Paradigm.” Proceedings of the National Academy of Sciences of the United States of America 117 (37). https://doi.org/10.1073/pnas.1917407117. |
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Mar 11 |
Yael Niv (Princeton University) |
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SPRING 2021 |
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Apr 29 |
John Serences (UC San Diego) |
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May 27 |
Leyla Isik (Johns Hopkins University) |
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