Grooming analysis algorithm: Use in the relationship between sleep deprivation and anxiety-like behavior

Autor(es)

Pires, Gabriel N. ^[1] ; Tufik, Sergio ^[1] ; Andersen, Monica L. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Fed Sao Paulo, Dept Psicobiol, BR-04024002 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY; v. 41, p. 6-10, MAR 5 2013.
• Citações Web of Science: 10

Resumo

Increased anxiety is a classic effect of sleep deprivation. However, results regarding sleep deprivation-induced anxiety-like behavior are contradictory in rodent models. The grooming analysis algorithm is a method developed to examine anxiety-like behavior and stress in rodents, based on grooming characteristics and microstructure. This study evaluated the applicability of the grooming analysis algorithm to distinguish sleep-deprived and control rats in comparison to traditional grooming analysis. Forty-six animals were distributed into three groups: control (n=22), paradoxical sleep-deprived (96 h, n=10) and total sleep deprived (6 h, n=14). Immediately after the sleep deprivation protocol, grooming was evaluated using both the grooming analysis algorithm and traditional measures (grooming latency, frequency and duration). Results showed that both paradoxical sleep-deprived and total sleep-deprived groups displayed grooming in a fragmented framework when compared to control animals. Variables from the grooming analysis algorithm were successful in distinguishing sleep-deprived and normal sleep animals regarding anxiety-like behavior. The grooming analysis algorithm and traditional measures were strongly correlated. In conclusion, the grooming analysis algorithm is a reliable method to assess the relationship between anxiety-like behavior and sleep deprivation. (C) 2012 Elsevier Inc. All rights reserved. (AU)

• Processo FAPESP: 10/14768-0 - Efeito da restrição de sono durante a gravidez sobre o comportamento materno em ratas
• Beneficiário: Gabriel Natan de Souza Pires
• Modalidade de apoio: Bolsas no Brasil - Mestrado