title: Graph Theory and Brain Connectivity in Alzheimer's Disease.
abstract: This article presents a review of recent advances in neuroscience research in the specific area of brain connectivity as a potential biomarker of Alzheimer's disease with a focus on the application of graph theory. The review will begin with a brief overview of connectivity and graph theory. Then resent advances in connectivity as a biomarker for Alzheimer's disease will be presented and analyzed.
authors.affiliation: 1 Biophysics Graduate Program, The Ohio State University, Columbus, OH, USA.
authors.forename: Jon
authors.initials: J
authors.lastname: delEtoile
authors.affiliation: 2 Departments of Biomedical Engineering, Biomedical Informatics, Neurological Surgery, and Neuroscience, and Biophysics Graduate Program, The Ohio State University, Columbus, OH, USA.
authors.forename: Hojjat
authors.initials: H
authors.lastname: Adeli
mesh_terms: D000544:Alzheimer Disease / Q000000981:diagnostic imaging / Q000503:physiopathology*; D001921:Brain / Q000000981:diagnostic imaging / Q000503:physiopathology*; D063132:Connectome / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D009434:Neural Pathways / Q000000981:diagnostic imaging / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted
keywords: Alzheimer’s disease; EEG; computational neuroscience; fMRI; graph theory