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The Relationship Between Brain Morphology and Polysomnography in Healthy Good Sleepers
Matthias Reinhard
Wolfram Regen
Chiara Baglioni
Christoph Nissen
Bernd Feige
Jürgen Hennig
Dieter Riemann
Kai Spiegelhalder
出版
Universität
, 2014
URL
http://books.google.com.hk/books?id=sKgZnQAACAAJ&hl=&source=gbs_api
註釋
Abstract: Background: Normal sleep continuity and architecture show remarkable inter-individual variability. Previous studies suggest
that brain morphology may explain inter-individual differences in sleep variables.
Method: Thirty-eight healthy subjects spent two consecutive nights at the sleep laboratory with polysomnographic
monitoring. Furthermore, high-resolution T1-weighted MRI datasets were acquired in all participants. EEG sleep recordings were analyzed using standard sleep staging criteria and power spectral analysis. Using the FreeSurfer software for
automated segmentation, 174 variables were determined representing the volume and thickness of cortical segments and the volume of subcortical brain areas. Regression analyses were performed to examine the relationship with
polysomnographic and spectral EEG power variables.
Results: The analysis did not provide any support for the a-priori formulated hypotheses of an association between brain
morphology and polysomnographic variables. Exploratory analyses revealed that the thickness of the left caudal anterior
cingulate cortex was positively associated with EEG beta2 power (24-32 Hz) during REM sleep. The volume of the left
postcentral gyrus was positively associated with periodic leg movements during sleep (PLMS).
Conclusions: The function of the anterior cingulate cortex as well as EEG beta power during REM sleep have been related to dreaming and sleep-related memory consolidation, which may explain the observed correlation. Increased volumes of the
postcentral gyrus may be the result of increased sensory input associated with PLMS. However, due to the exploratory nature of the corresponding analyses, these results have to be replicated before drawing firm conclusions