A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
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 inv...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Frontiers Research Foundation
2016
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| Online Access: | http://hdl.handle.net/1721.1/101722 https://orcid.org/0000-0003-1804-4418 |
| _version_ | 1811081771453775872 |
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| author | Schoffelen, Jan-Mathijs Bastos, Andre |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Schoffelen, Jan-Mathijs Bastos, Andre |
| author_sort | Schoffelen, Jan-Mathijs |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:52:13Z |
| format | Article |
| id | mit-1721.1/101722 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:52:13Z |
| publishDate | 2016 |
| publisher | Frontiers Research Foundation |
| record_format | dspace |
| spelling | mit-1721.1/1017222022-10-01T06:36:18Z A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls Schoffelen, Jan-Mathijs Bastos, Andre Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory Bastos, Andre 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. National Science Foundation (U.S.). Graduate Research Fellowship United States. J. William Fulbright Foreign Scholarship Board 2016-03-16T17:48:59Z 2016-03-16T17:48:59Z 2016-01 2015-08 Article http://purl.org/eprint/type/JournalArticle 1662-5137 http://hdl.handle.net/1721.1/101722 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). https://orcid.org/0000-0003-1804-4418 en_US http://dx.doi.org/10.3389/fnsys.2015.00175 Frontiers in Systems Neuroscience Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Frontiers Research Foundation Frontiers Research Foundation |
| spellingShingle | Schoffelen, Jan-Mathijs Bastos, Andre A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title | A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title_full | A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title_fullStr | A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title_full_unstemmed | A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title_short | A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls |
| title_sort | tutorial review of functional connectivity analysis methods and their interpretational pitfalls |
| url | http://hdl.handle.net/1721.1/101722 https://orcid.org/0000-0003-1804-4418 |
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