A theta-band EEG based index for early diagnosis of Alzheimer's disease

Journal of Alzheimer's Disease

Volumn 43, Issue 4, 2014, Pages 1175-1184

  Gallego Jutglà, Esteve ^a   Solé Casals, Jordi ^a   Vialatte, François Benoît ^b   Dauwels, Justin ^c   Cichocki, Andrzej ^d,e  

^a UNIVERSITY OF VIC CENTRAL UNIVERSITY OF CATALONIA   (Spain)

^b PSL RESEARCH UNIVERSITY   (France)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^e POLISH ACADEMY OF SCIENCES   (Poland)

Author keywords

Alzheimer's disease; data interpretation; electroencephalography; mild cognitive impairment; phase synchronization

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; EARLY DIAGNOSIS; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; HUMAN; MATHEMATICAL ANALYSIS; MILD COGNITIVE IMPAIRMENT; STATISTICAL ANALYSIS; THETA RHYTHM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; MENTAL HEALTH; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

AGED; ALZHEIMER DISEASE; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; EARLY DIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMANS; MENTAL STATUS SCHEDULE; MILD COGNITIVE IMPAIRMENT; THETA RHYTHM;

EID: 84919919654     PISSN: 13872877     EISSN: 18758908     Source Type: Journal    
DOI: 10.3233/JAD-140468     Document Type: Article

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