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[P3–393]: ROBUST AUTOMATED DETECTION OF SUBJECTIVE COGNITIVE DECLINE AND PRODROMAL ALZHEIMER's DISEASE BASED ON MULTICENTER RESTING‐STATE FUNCTIONAL CONNECTIVITY: RESULTS FROM THE DZNE DELCODE STUDY
Author(s) -
Dyrba Martin,
Metzger Coraline D.,
Grothe Michel J.,
Jessen Frank,
Duzel Emrah,
Spottke Annika,
Nestor Peter,
Buerger Katharina,
Schneider Anja,
Oliver Peters,
Priller Josef,
Wiltfang Jens,
Laske Christoph,
Teipel Stefan J.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.1609
Subject(s) - dementia , resting state fmri , cognitive decline , logistic regression , audiology , medicine , cognition , cognitive impairment , alzheimer's disease , psychology , physical medicine and rehabilitation , neuroscience , disease
default-mode network and dorsal attention network. Conclusions: Global topological properties and small-world parameters are altered in bvFTD, indicating the inefficiency of local communication. Brain regions with altered nodal degree are located in networks that are closely associated with behavioral changes and cognitive deficits in bvFTD. These findings provide new insights into pathophysiological mechanisms of bvFTD and graph theoretical analysis maybe a promising markers to detect functional changes in the early phase of bvFTD.