Unsupervised fuzzy clustering analysis supports behavioral cutoff criteria in an animal model of posttraumatic stress disorder

Biological Psychiatry

Volumn 58, Issue 8, 2005, Pages 640-650

  Cohen, Hagit ^a   Zohar, Joseph ^b   Matar, Michael A ^a   Kaplan, Zeev ^a   Geva, Amir B ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

Animal model; Anxiety; Behavioral criteria; Posttraumatic stress disorder; Stress; Unsupervised fuzzy clustering

Indexed keywords

ALGORITHM; ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ANIMAL MODEL; ANXIETY; ARTICLE; CLUSTER ANALYSIS; DATA ANALYSIS; MALE; MENTAL DISEASE; NONHUMAN; POSTTRAUMATIC STRESS DISORDER; PRIORITY JOURNAL; RAT; STATISTICAL SIGNIFICANCE; STRESS;

ACOUSTIC STIMULATION; ANALYSIS OF VARIANCE; ANIMALS; BEHAVIOR, ANIMAL; CLUSTER ANALYSIS; DISEASE MODELS, ANIMAL; FUZZY LOGIC; MALE; MAZE LEARNING; RATS; RATS, SPRAGUE-DAWLEY; REFERENCE VALUES; STARTLE REACTION; STRESS DISORDERS, POST-TRAUMATIC; TIME FACTORS;

EID: 27644446645     PISSN: 00063223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biopsych.2005.04.002     Document Type: Article

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