FUNCTIONAL-CHARACTERIZATION OF CAUDAL HYPOGLOSSAL NEURONS BY SPECTRALPATTERNS OF NEURONAL DISCHARGES IN THE RAT

Citation
Cch. Yang et al., FUNCTIONAL-CHARACTERIZATION OF CAUDAL HYPOGLOSSAL NEURONS BY SPECTRALPATTERNS OF NEURONAL DISCHARGES IN THE RAT, Neuroscience, 77(3), 1997, pp. 813-827
Citations number
69
Categorie Soggetti
Neurosciences
Journal title
ISSN journal
03064522
Volume
77
Issue
3
Year of publication
1997
Pages
813 - 827
Database
ISI
SICI code
0306-4522(1997)77:3<813:FOCHNB>2.0.ZU;2-0
Abstract
This study evaluated the spectral characteristics of neuronal discharg es in the caudal hypoglossal nucleus and their physiological relevance in adult, male Sprague-Dawley rats which were anaesthetized and maint ained with pentobarbital sodium. Based on auto-spectral analysis of ex tracellular single-neuron activity, three spectral patterns were ident ified in the spontaneous discharges of hypoglossal neurons. Neurons th at exhibited a rhythmic pattern manifested a concentrated peak in the auto-spectrogram that corresponded to the mean discharge rate. A major ity of hypoglossal neurons displayed the modulated pattern, which was manifested either as scattered power densities (wide-band modulated pa ttern) or with a peak frequency component that was different from the mean discharge rate (narrow-band modulated pattern). Neurons that exhi bited a mixed pattern displayed both rhythmic and modulated spectral p atterns. Cross-spectral analysis further revealed that respiratory mod ulation constituted a major physiological influence on caudal hypoglos sal neurons. The respiratory modulated pattern, however, could be conv erted to a mixed pattern in the presence of a central dipsogen, angiot ensin III. The results suggest that the spectral patterns of neuronal discharges in caudal hypoglossal neurons represent manifestations of m ultiple physiological information, including that regarding respiratio n and dipsogenesis, which is encoded in these neurons. It was also sho wn that this information may only be revealed by auto-spectral and cro ss-spectral analysis of neuronal discharge signals. (C) 1997 IBRO.