🎞 A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
💥Free recorded tutorial by Andre M. Bastos
🔹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 populations. First, I will review metrics for functional connectivity, including coherence, phase synchronization, phase slope index, and Granger causality, with the specific aim to provide an intuition for how these metrics work, as well as their quantitative definition Next, I will highlight a number of interpretational caveats and common pitfalls that can arise when performing functional connectivity analysis, including the common reference problem, the signal to noise ratio problem, the volume conduction problem, the common input problem, and the sample size bias problem. These pitfalls will be illustrated by presenting a series of MATLAB-scripts, which can be executed by the tutorial participants to simulate each of these potential problems. I will discuss how some of these issues can be addressed using current methods
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Tutorial #Connectivity #review
💥Free recorded tutorial by Andre M. Bastos
🔹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 populations. First, I will review metrics for functional connectivity, including coherence, phase synchronization, phase slope index, and Granger causality, with the specific aim to provide an intuition for how these metrics work, as well as their quantitative definition Next, I will highlight a number of interpretational caveats and common pitfalls that can arise when performing functional connectivity analysis, including the common reference problem, the signal to noise ratio problem, the volume conduction problem, the common input problem, and the sample size bias problem. These pitfalls will be illustrated by presenting a series of MATLAB-scripts, which can be executed by the tutorial participants to simulate each of these potential problems. I will discuss how some of these issues can be addressed using current methods
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Tutorial #Connectivity #review
YouTube
A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
Andre M. Bastos - MIT
Description: Oscillatory neuronal synchronization has been hypothesized to provide a mechanism for dynamic network coordination. Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own advantages…
Description: Oscillatory neuronal synchronization has been hypothesized to provide a mechanism for dynamic network coordination. Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own advantages…
📃Graph theory in ecological network analysis: A systematic review for connectivity assessment
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
🏢Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
🏢Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
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