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2022-12-07 @ 11:00 EST
Please join us on Wednesday, December 12, 11 am for a CIC Imaging Series Lecture by John Murray, Associate Professor in the Department of Psychiatry at Yale University.
Title: Spatial and temporal autocorrelation weave complexity in brain networks
Abstract: Neuroimaging data is highly complex and structured, motivating an explosion of techniques for measuring complex interactions and multi-dimensional patterns. However, whether sophisticated measures of emergent phenomena can be traced back to simpler low-dimensional statistics is largely unknown. To explore this question, we examine resting- state fMRI (rs-fMRI) data using complex topology measures from network neuroscience, combined with a generative modeling perspective. We show that spatial and temporal autocorrelation, two fundamental properties of rs-fMRI data, explain network topological measures, capture individual and regional variation, and are altered by aging and pharmacology. This reductionistic interpretation of widely-used complexity measures may help link them to neurobiology.
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