Applications of functional high-order interactions: healthy ageing and transcranial ultrasound stimulation.
Visiting speaker
Marilyn Gatica
Postdoctoral Research Assistant in the Network Science Institute at Northeastern University London
Past Talk
Virtual
Tuesday
Jan 30, 2024
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10:30 am
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177 Huntington Ave.
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The brain interdependencies can be studied from either a structural perspective ("structural connectivity") or by considering statistical interdependencies ("functional connectivity" (FC)). Notably, while structural connectivity is inherently pairwise (involving white-matter fibers projecting from one region to another), FC is not limited to pairwise interactions. Despite this, many FC analyses predominantly concentrate on pairwise statistics and often neglect higher-order interactions. In this study, we show the extent of high-order interactions in fMRI data, exploring two applications: healthy aging and transcranial ultrasound stimulation.
About the speaker
About the speaker
Marilyn is a Postdoctoral Research Assistant in the Network Science Institute at Northeastern University London. She has explored a wide range of scientific questions, including healthy aging, frontotemporal dementia, and the effects of transcranial ultrasound stimulation, a novelty non-invasive neuromodulation technique. Her research has integrated data analysis with multivariate information theory, statistics, machine learning, and whole-brain modeling. Links to Marilyn's pages: https://twitter.com/gaticamarilyn https://linkedin.com/in/marilyngatica https://www.researchgate.net/profile/Marilyn-Gatica-Briceno https://scholar.google.com/citations?user=QFTWPOgAAAAJ&hl=en https://github.com/KGatica
Marilyn is a Postdoctoral Research Assistant in the Network Science Institute at Northeastern University London. She has explored a wide range of scientific questions, including healthy aging, frontotemporal dementia, and the effects of transcranial ultrasound stimulation, a novelty non-invasive neuromodulation technique. Her research has integrated data analysis with multivariate information theory, statistics, machine learning, and whole-brain modeling. Links to Marilyn's pages: https://twitter.com/gaticamarilyn https://linkedin.com/in/marilyngatica https://www.researchgate.net/profile/Marilyn-Gatica-Briceno https://scholar.google.com/citations?user=QFTWPOgAAAAJ&hl=en https://github.com/KGatica