Study Objectives: Investigators assign sleep-waking states using brain activity collected from a single site, with the assumption that states occur at the same time throughout the brain. We sought to determine if sleep-waking states differ between two separate structures: the hippocampus and neocortex.
Methods: We measured electrical signals (electroencephalograms and electromyograms) during sleep from the hippocampus and neocortex of five freely behaving adult male rats. We assigned sleep-waking states in 10-sec epochs based on standard scoring criteria across a 4-h recording, then analyzed and compared states and signals from simultaneous epochs between sites.
Results: We found that the total amount of each state, assigned independently using the hippocampal and neocortical signals, was similar between the hippocampus and neocortex. However, states at simultaneous epochs were different as often as they were the same (P = 0.82). Furthermore, we found that the progression of states often flowed through asynchronous state-pairs led by the hippocampus. For example, the hippocampus progressed from transition-to-rapid eye movement sleep to rapid eye movement sleep before the neocortex more often than in synchrony with the neocortex (38.7 ± 16.2% versus 15.8 ± 5.6% mean ± standard error of the mean).
Conclusions: We demonstrate that hippocampal and neocortical sleep-waking states often differ in the same epoch. Consequently, electrode location affects estimates of sleep architecture, state transition timing, and perhaps even percentage of time in sleep states. Therefore, under normal conditions, models assuming brain state homogeneity should not be applied to the sleeping or waking brain.
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http://dx.doi.org/10.5665/sleep.6326 | DOI Listing |
BMC Public Health
December 2024
Department of Epidemiology, School of Public Health, Virginia Commonwealth University, Richmond, VA, USA.
Eat Weight Disord
July 2024
Department of Psychology, University of Kansas, 1415 Jayhawk Blvd, Lawrence, KS, 66045, USA.
Purpose: Researchers have theorized that interactions between appetitive and circadian disruptions result in increased eating disorder (ED) symptoms and insomnia. However, it is unclear how specific insomnia symptoms present among people with EDs and if the latent structure of insomnia in this population is similar to that of people with insomnia disorder.
Methods: We conducted a secondary analysis of data collected on ED and insomnia symptoms using a subset of students (N = 547; 79.
J Clin Sleep Med
October 2024
Department of Epidemiology, School of Population Health, Virginia Commonwealth University, School of Medicine, Richmond, Virginia.
Study Objectives: Prior research suggests that insomnia may increase the risk of death. However, the potential influence of age and sex is unclear. This study aimed to investigate the association of insomnia symptoms with all-cause mortality by age and sex.
View Article and Find Full Text PDFBiosystems
January 2024
Institute of the Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, Butlerova Str., 5A, 117485, Moscow, Russia. Electronic address:
Electroencephalography (EEG) is a common technique for measuring brain activity. Artificial Neuronal Networks (ANNs) can provide valuable insights into the brain dynamics of humans and animals. We built a simple and fast shallow ANN-based solution for sleep recognition in EEGs recorded in freely moving rats.
View Article and Find Full Text PDFOur work aimed to investigate the changes of focal epileptogenic threshold at different stages of sleep-waking cycle (SWC). Experiments were carried out in adult Wistar rats. Under ketalar anesthesia electrodes were implanted stereotaxically into the brain structures, according to Paxinos and Watson atlas coordinates.
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