Intrinsic Functional Connectivity As a Tool For Human Connectomics: Theory, Properties, and Optimization
Harvard University · Maastricht University · +4 more institutions
Abstract
Resting state functional connectivity MRI (fcMRI) is widely used to investigate brain networks that exhibit correlated fluctuations. While fcMRI does not provide direct measurement of anatomic connectivity, accumulating evidence suggests it is sufficiently constrained by anatomy to allow the architecture of distinct brain systems to be characterized. fcMRI is particularly useful for characterizing large-scale systems that span distributed areas (e.g., polysynaptic cortical pathways, cerebro-cerebellar circuits, cortical-thalamic circuits) and has complementary strengths when contrasted with the other major tool available for human connectomics-high angular resolution diffusion imaging (HARDI). We review what…
Citation impact
- FWCI
- 33.57
- Percentile
- 100%
- References
- 191
Authors
6- KRKoene R. A. Van Dijk
Harvard University, Maastricht University, Athinoula A. Martinos Center for Biomedical Imaging
- THTrey Hedden
Harvard University, Athinoula A. Martinos Center for Biomedical Imaging
- AVArchana Venkataraman
Massachusetts Institute of Technology
- KCKarleyton C. Evans
Massachusetts General Hospital
- SWSara W. Lazar
Massachusetts General Hospital
Topics & keywords
- Connectomics
- Computer science
- Neuroscience
- Connectome
- Human Connectome Project
- Resting state fMRI
- Artificial intelligence
- Preprocessor