A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
Name
Bastos-2016-Tutorial Review.pdf
Size
1.25 MB
Format
Adobe PDF
Checksum (MD5)
34a4cbf77331fa30443071b7517ca54f
Author(s)
Schoffelen, Jan-Mathijs
Bastos, Andre
Date Issued
January 2016
Journal
Frontiers in Systems Neuroscience
Publisher
Frontiers Research Foundation
Citation
Bastos, Andre M., and Jan-Mathijs Schoffelen. “A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls.” Frontiers in Systems Neuroscience 9 (January 8, 2016).
Version
Final published version
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 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 set of MATLAB-scripts, which can be executed by the reader to simulate each of these potential problems. We discuss how these issues can be addressed using current methods.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Picower Institute for Learning and Memory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fnsys.2015.00175
