Quantifying the predictive power of resting-state functional connectivity (rs-fc) fMRI for identifying patients with Alzheimer's disease (AD)

Clinical Neurophysiology

Volumn 126, Issue 11, 2015, Pages 2043-2044

  Dimitriadis, Stavros I ^a,b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; BOLD SIGNAL; CONNECTOME; DIAGNOSTIC ACCURACY; EDITORIAL; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; LIMIT OF QUANTITATION; PREDICTIVE VALUE; PRIORITY JOURNAL; RESTING STATE NETWORK; BRAIN; FEMALE; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PROCEDURES; REST; THEORETICAL MODEL;

ALZHEIMER DISEASE; BRAIN; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, THEORETICAL; REST;

EID: 84952637119     PISSN: 13882457     EISSN: 18728952     Source Type: Journal    
DOI: 10.1016/j.clinph.2015.03.011     Document Type: Editorial

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