A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
Massachusetts Institute of Technology · Radboud University Nijmegen · +1 more institution
Abstract
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 populations. First, we 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, we highlight a number of interpretational caveats and…
Citation impact
- FWCI
- 53.81
- Percentile
- 100%
- References
- 90
Authors
2Topics & keywords
- Computer science
- Artificial intelligence
- Machine learning