Please use this identifier to cite or link to this item: http://repositorio.unifesp.br/handle/11600/37043
Title: Do sleep abnormalities and misaligned sleep/circadian rhythm patterns represent early clinical characteristics for developing psychosis in high risk populations?
Authors: Zanini, Marcio [UNIFESP]
Castro, Juliana [UNIFESP]
Coelho, Fernando Morgadinho [UNIFESP]
Bittencourt, Lia [UNIFESP]
Bressan, Rodrigo A. [UNIFESP]
Tufik, Sergio [UNIFESP]
Brietzke, Elisa [UNIFESP]
Universidade Federal de São Paulo (UNIFESP)
Keywords: Schizophrenia
Psychosis
Ultra High Risk
Sleep
Circadian rhythm
Issue Date: 1-Dec-2013
Publisher: Elsevier B.V.
Citation: Neuroscience and Biobehavioral Reviews. Oxford: Pergamon-Elsevier B.V., v. 37, n. 10, p. 2631-2637, 2013.
Abstract: Sleep architecture changes, such as slow-wave sleep (SWS) percentage variations and reductions in latency and density of rapid eye movement (REM), are found in most patients with schizophrenia and are considered to be an important part of the pathophysiology of the disorder. in addition to these sleep parameters changes, disruptions in sleep homeostasis and the sleep/circadian rhythm also occur in these patients. Sleep/circadian rhythm abnormalities negatively affect neocortical plasticity and cognition and often precede the diagnosis of the illness. Thus, it has been suggested that the sleep/circadian rhythm might be involved in the pathophysiology of psychosis.Recent advances in the identification of individuals at a high risk for developing schizophrenia allow us to investigate several neurobiological processes involved in the development of psychosis. in this article, we review the current evidence of the effects of sleep parameter abnormalities, disruptions in sleep homeostasis and misalignments of sleep circadian rhythm on the early stages of schizophrenia. in addition, we discuss the preliminary evidence of sleep and circadian rhythm abnormalities during the prodromal stages of psychosis and propose that these abnormalities can be explored as potential predictors, as an adjunct to clinical diagnosis, of developing a psychotic disorder in at risk populations. (C) 2013 Elsevier B.V. All rights reserved.
URI: http://repositorio.unifesp.br/handle/11600/37043
ISSN: 0149-7634
Other Identifiers: http://dx.doi.org/10.1016/j.neubiorev.2013.08.012
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