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Title:

Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease.

Document type:
Article; Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
Author(s):
Strain, Jeremy F; Brier, Matthew R; Tanenbaum, Aaron; Gordon, Brian A; McCarthy, John E; Dincer, Aylin; Marcus, Daniel S; Chhatwal, Jasmeer P; Graff-Radford, Neill R; Day, Gregory S; la Fougère, Christian; Perrin, Richard J; Salloway, Stephen; Schofield, Peter R; Yakushev, Igor; Ikeuchi, Takeshi; Vöglein, Jonathan; Morris, John C; Benzinger, Tammie L S; Bateman, Randall J; Ances, Beau M; Snyder, Abraham Z
Abstract:
Prior studies of aging and Alzheimer disease have evaluated resting state functional connectivity (FC) using either seed-based correlation (SBC) or independent component analysis (ICA), with a focus on particular functional systems. SBC and ICA both are insensitive to differences in signal amplitude. At the same time, accumulating evidence indicates that the amplitude of spontaneous BOLD signal fluctuations is physiologically meaningful. We systematically compared covariance-based FC, which is s...     »
Journal title abbreviation:
Neuroimage
Year:
2022
Journal volume:
261
Fulltext / DOI:
doi:10.1016/j.neuroimage.2022.119511
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/35914670
Print-ISSN:
1053-8119
TUM Institution:
Klinik und Poliklinik für Nuklearmedizin
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