Topography-specific spindle frequency changes in Obstructive Sleep Apnea


Autoria(s): Schoenwald, Suzana V.; Carvalho, Diego Z.; de Santa-Helena, Emerson L.; Lemke, Ney; Gerhardt, Guenther J. L.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

31/07/2012

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Processo FAPESP: 09/10382-2

Background: Sleep spindles, as detected on scalp electroencephalography (EEG), are considered to be markers of thalamo-cortical network integrity. Since obstructive sleep apnea (OSA) is a known cause of brain dysfunction, the aim of this study was to investigate sleep spindle frequency distribution in OSA. Seven non-OSA subjects and 21 patients with OSA (11 mild and 10 moderate) were studied. A matching pursuit procedure was used for automatic detection of fast (>= 13Hz) and slow(< 13Hz) spindles obtained from 30min samples of NREM sleep stage 2 taken from initial, middle and final night thirds (sections I, II and III) of frontal, central and parietal scalp regions.Results: Compared to non-OSA subjects, Moderate OSA patients had higher central and parietal slow spindle percentage (SSP) in all night sections studied, and higher frontal SSP in sections II and III. As the night progressed, there was a reduction in central and parietal SSP, while frontal SSP remained high. Frontal slow spindle percentage in night section III predicted OSA with good accuracy, with OSA likelihood increased by 12.1% for every SSP unit increase (OR 1.121, 95% CI 1.013 - 1.239, p=0.027).Conclusions: These results are consistent with diffuse, predominantly frontal thalamo-cortical dysfunction during sleep in OSA, as more posterior brain regions appear to maintain some physiological spindle frequency modulation across the night. Displaying changes in an opposite direction to what is expected from the aging process itself, spindle frequency appears to be informative in OSA even with small sample sizes, and to represent a sensitive electrophysiological marker of brain dysfunction in OSA.

Formato

12

Identificador

http://dx.doi.org/10.1186/1471-2202-13-89

Bmc Neuroscience. London: Biomed Central Ltd., v. 13, p. 12, 2012.

1471-2202

http://hdl.handle.net/11449/17713

10.1186/1471-2202-13-89

WOS:000311166100001

WOS000311166100001.pdf

Idioma(s)

eng

Publicador

Biomed Central Ltd.

Relação

Bmc Neuroscience

Direitos

openAccess

Palavras-Chave #Time series #Matching pursuit #EEG #Sleep spindles #OSA
Tipo

info:eu-repo/semantics/article