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Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
Published on: August 2, 2017
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Spindle activity phase-locked to sleep slow oscillations.
Jens G Klinzing1, Matthias Mölle2, Frederik Weber3
1Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany; Graduate School of Neural and Behavioural Sciences, University of Tübingen, 72074 Tübingen, Germany; Centre for Integrative Neuroscience, University of Tübingen, 72076 Tübingen, Germany.
Neuroimage
|April 23, 2016
Summary
Slow oscillations and sleep spindles coordinate during sleep, but their spatial relationship doesn't support localized memory consolidation. This challenges the idea that slow oscillations (SO) locally guide spindles for memory processing.
Area of Science:
- Neuroscience
- Sleep Science
- Cognitive Neuroscience
Background:
- Slow oscillations (SO) and sleep spindles are key features of non-rapid eye movement sleep.
- Phase-locked spindle activity to SOs is theorized to mediate memory consolidation during sleep.
Purpose of the Study:
- To analyze the temporal and spatial characteristics of sleep spindles co-occurring with SOs.
- To investigate the proposed spatial bias of SOs over spindles for localized neuronal synchronization and plasticity.
Main Methods:
- Source localization of magnetoencephalographic (MEG) and electroencephalographic (EEG) recordings from 11 sleeping subjects.
- Identification of SOs and spindles in EEG, correlated with MEG signals for enhanced spatial resolution.
Main Results:
- Confirmed temporal phase-locking of fast spindles (12-15Hz) to SO up-states and slow spindles (9-12Hz) to SO transitions.
- Observed broad spindle spatial spread with less anterior-posterior separation than typically seen in EEG.
- Found no evidence of lateralization in spindle activity corresponding to hemispheric dominance of SOs.
Conclusions:
- Data support neocortical SOs exerting top-down control over thalamic spindle generation.
- Findings question the model where SOs locally coordinate spindles to inform memory processing.
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