How to measure functional connectivity using resting-state fMRI? A comprehensive empirical exploration of different connectivity metrics
Our empirical evaluation supports a recent theoretical functional connectivity framework. Future functional imaging studies need to comprehensively define the study-specific theoretical property of interest, the methodological property to assess the theoretical property, and the confounding property that may bias the conclusions.
Authors
- Andrea Schmitt
- Sophia Stoecklein (ORCID: https://orcid.org/0000-0003-0325-4674)
- Daniel Keeser (ORCID: https://orcid.org/0000-0002-0244-1024)
- Zhuanghua Shi (ORCID: https://orcid.org/0000-0003-2388-6695)
- Florian J. Raabe (ORCID: https://orcid.org/0000-0001-8538-0783)
- Stephan Wunderlich (ORCID: https://orcid.org/0009-0005-6751-1539)
- Elias M. Wagner (ORCID: https://orcid.org/0000-0002-7147-6167)
- David Roell
- Peter Falkai
Institutions
- University of Augsburg (DE)
- LMU Klinikum (DE)
- Max Planck Institute of Psychiatry (DE)
- Bezirkskrankenhaus Augsburg (DE)
- Ludwig-Maximilians-Universität München (DE)
- Technische Universität Braunschweig (DE)
Publication Details
- Journal
- NeuroImage
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1016/j.neuroimage.2025.121195
- Citations
- 3
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.29