Integrative EEG biomarkers predict progression to Alzheimer's disease at the MCI stage

Frontiers in Aging Neuroscience

Volumn 5, Issue OCT, 2013, Pages

  Poil, Simon Shlomo ^a   de Haan, Willem ^b,c   van der Flier, Wiesje M ^b,c   Mansvelder, Huibert D ^a   Scheltens, Philip ^c   Linkenkaer Hansen, Klaus ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Alzheimer's disease; Electroencephalography; Eyes closed resting state; Mild cognitive impairment (MCI); Neurophysiological biomarkers; Predictive analysis; Time series analysis

Indexed keywords

BIOLOGICAL MARKER;

AGED; ALZHEIMER DISEASE; ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL PRACTICE; COGNITION; DATA MINING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE COURSE; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; OSCILLATION; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY;

EID: 84895819508     PISSN: None     EISSN: 16634365     Source Type: Journal    
DOI: 10.3389/fnagi.2013.00058     Document Type: Article

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