Dynamic Functional Connectivity tutorial: solutions
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Evaluation of Model-Based Methods in Estimating Dynamic Functional Connectivity of Brain Regions
Today, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the d...
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In this hands-on session, we explore dynamic functional connectivity (dFC) through two different pipelines: (1) a sliding window analysis, where we explore the impact of window characteristics, dynamic graph metrics, and the generation of summarising eigenconnectivity building blocks; and (2) the generation of innovation-driven co-activation patterns (iCAPs), following the previous application ...
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The human brain is a large-scale network which function depends on dynamic interactions between spatially-distributed regions. In the rapidly-evolving field of network neuroscience, two yet unresolved challenges are potential breakthroughs. First, functional brain networks should be estimated from noninvasive and easy to use neuroimaging techniques. Second, the time/space resolution of these te...
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Oscillatory neuronal activity may provide a mechanism for dynamic network coordination. Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own advantages and disadvantages. This tutorial will review and summarize current analysis methods used in the field of invasive and non-invasive electrophysiology to study the dynamic connections between neuronal popula...
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تاریخ انتشار 2017