Use of artificial neural networks to determine cognitive impairment and therapeutic effectiveness in Alzheimer's transgenic mice

Journal of Neuroscience Methods

Volumn 167, Issue 2, 2008, Pages 358-366

  Leighty, Ralph E ^a,b   Runfeldt, Melissa J ^a,b   Berndt, Donald J ^b   Schleif, William S ^a,b   Cracchiolo, Jennifer R ^a,b   Potter, Huntington ^a,c   Arendash, Gary W ^a,b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Alzheimer's disease; Behavioral assessment; Classifier; Discriminant function analysis; Neural networks; Transgenic mice

Indexed keywords

CAFFEINE;

ACCURACY; ALZHEIMER DISEASE; ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; ARTIFICIAL NEURAL NETWORK; COGNITIVE DEFECT; COGNITIVE THERAPY; COGNITIVELY STIMULATING ENVIRONMENT; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DISEASE MODEL; FUNCTIONAL ASSESSMENT; MOUSE; NONHUMAN; PATHOGENESIS; PRIORITY JOURNAL; PROTECTION; TASK PERFORMANCE; TRANSGENIC MOUSE;

ALZHEIMER DISEASE; AMYLOID BETA-PROTEIN PRECURSOR; ANIMALS; CAFFEINE; CENTRAL NERVOUS SYSTEM STIMULANTS; COGNITION DISORDERS; DISCRIMINATION (PSYCHOLOGY); DISEASE MODELS, ANIMAL; ENVIRONMENT; MICE; MICE, TRANSGENIC; NEURAL NETWORKS (COMPUTER); NEUROPSYCHOLOGICAL TESTS; PRESENILIN-1;

EID: 36849046294     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2007.08.008     Document Type: Article

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