Quantifying the predictive power of resting-state functional connectivity (rs-fc) fMRI for identifying patients with Alzheimer's disease (AD)
Clin Neurophysiol
.
2015 Nov;126(11):2043-4.
doi: 10.1016/j.clinph.2015.03.011.
Epub 2015 Apr 2.
Author
Stavros I Dimitriadis
1
Affiliation
1
Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University, 54124, Thessaloniki, Greece; NeuroInformatics Group, AUTH, Thessaloniki, Greece. Electronic address: stidimitriadis@gmail.com.
PMID:
25881782
DOI:
10.1016/j.clinph.2015.03.011
No abstract available
Publication types
Editorial
Comment
MeSH terms
Alzheimer Disease / diagnosis*
Alzheimer Disease / pathology*
Brain / pathology*
Female
Humans
Magnetic Resonance Imaging / methods*
Male
Models, Theoretical*
Rest / physiology*