TY - JOUR
AU - 
AB - REVIEW published: 08 January 2016 doi: 10.3389/fnsys.2015.00175 A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls 1 2, 3 André M. Bastos * and Jan-Mathijs Schoffelen * Department of Brain and Cognitive Sciences, The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA, Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands, Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands 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 
TI - A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
JF - Frontiers in Systems Neuroscience
DO - 10.3389/fnsys.2015.00175
DA - 2016-01-08
UR - https://www.deepdyve.com/lp/unpaywall/a-tutorial-review-of-functional-connectivity-analysis-methods-and-1V5eXsuIa3
DP - DeepDyve
ER -