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Electroencephalogram bands modulated by vigilance states in an anuran species: a factor analytic approach

Overview of attention for article published in Journal of Comparative Physiology A, November 2011
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Title
Electroencephalogram bands modulated by vigilance states in an anuran species: a factor analytic approach
Published in
Journal of Comparative Physiology A, November 2011
DOI 10.1007/s00359-011-0693-y
Pubmed ID
Authors

Guangzhan Fang, Qin Chen, Jianguo Cui, Yezhong Tang

Abstract

Dramatic changes in neocortical electroencephalogram (EEG) rhythms are associated with the sleep-waking cycle in mammals. Although amphibians are thought to lack a neocortical homologue, changes in rest-activity states occur in these species. In the present study, EEG signals were recorded from the surface of the cerebral hemispheres and midbrain on both sides of the brain in an anuran species, Babina daunchina, using electrodes contacting the meninges in order to measure changes in mean EEG power across behavioral states. Functionally relevant frequency bands were identified using factor analysis. The results indicate that: (1) EEG power was concentrated in four frequency bands during the awake or active state and in three frequency bands during rest; (2) EEG bands in frogs differed substantially from humans, especially in the fast frequency band; (3) bursts similar to mammalian sleep spindles, which occur in non-rapid eye movement mammalian sleep, were observed when frogs were at rest suggesting sleep spindle-like EEG activity appeared prior to the evolution of mammals.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Brazil 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Bachelor 3 13%
Professor > Associate Professor 3 13%
Student > Master 3 13%
Student > Ph. D. Student 2 8%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Neuroscience 6 25%
Biochemistry, Genetics and Molecular Biology 1 4%
Psychology 1 4%
Engineering 1 4%
Other 0 0%
Unknown 7 29%