Faculty Opinions recommendation of Cholinergic brainstem neurons modulate cortical gamma activity during slow oscillations.

Author(s):  
John Lisman
2021 ◽  
Author(s):  
Lea Himmer ◽  
Zoé Bürger ◽  
Leonie Fresz ◽  
Janina Maschke ◽  
Lore Wagner ◽  
...  

Reactivation of newly acquired memories during sleep across hippocampal and neocortical systems is proposed to underlie systems memory consolidation. Here, we investigate spontaneous memory reprocessing during sleep by applying machine learning to source space-transformed magnetoencephalographic data in a two-step exploratory and confirmatory study design. We decode memory-related activity from slow oscillations in hippocampus, frontal cortex and precuneus, indicating parallel memory processing during sleep. Moreover, we show complementary roles of hippocampus and neocortex: while gamma activity indicated memory reprocessing in hippocampus, delta and theta frequencies allowed decoding of memory in neocortex. Neocortex and hippocampus were linked through coherent activity and modulation of high-frequency gamma oscillations by theta, a dynamic similar to memory processing during wakefulness. Overall, we noninvasively demonstrate localized, coordinated memory reprocessing in human sleep.


PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e67540 ◽  
Author(s):  
Miguel Valencia ◽  
Julio Artieda ◽  
J. Paul Bolam ◽  
Juan Mena-Segovia

2008 ◽  
Vol 586 (12) ◽  
pp. 2947-2960 ◽  
Author(s):  
Juan Mena-Segovia ◽  
Hana M. Sims ◽  
Peter J. Magill ◽  
J. Paul Bolam

2017 ◽  
Vol 117 (3) ◽  
pp. 1126-1142 ◽  
Author(s):  
Sabine Gretenkord ◽  
Adrian Rees ◽  
Miles A. Whittington ◽  
Sarah E. Gartside ◽  
Fiona E. N. LeBeau

Cortical slow oscillations (0.1–1 Hz), which may play a role in memory consolidation, are a hallmark of non-rapid eye movement (NREM) sleep and also occur under anesthesia. During slow oscillations the neuronal network generates faster oscillations on the active Up-states and these nested oscillations are particularly prominent in the PFC. In rodents the medial prefrontal cortex (mPFC) consists of several subregions: anterior cingulate cortex (ACC), prelimbic (PrL), infralimbic (IL), and dorsal peduncular cortices (DP). Although each region has a distinct anatomy and function, it is not known whether slow or fast network oscillations differ between subregions in vivo. We have simultaneously recorded slow and fast network oscillations in all four subregions of the rodent mPFC under urethane anesthesia. Slow oscillations were synchronous between the mPFC subregions, and across the hemispheres, with no consistent amplitude difference between subregions. Delta (2–4 Hz) activity showed only small differences between subregions. However, oscillations in the spindle (6–15 Hz)-, beta (20–30 Hz), gamma (30–80 Hz)-, and high-gamma (80–150 Hz)-frequency bands were consistently larger in the dorsal regions (ACC and PrL) compared with ventral regions (IL and DP). In dorsal regions the peak power of spindle, beta, and gamma activity occurred early after onset of the Up-state. In the ventral regions, especially the DP, the oscillatory power in the spindle-, beta-, and gamma-frequency ranges peaked later in the Up-state. These results suggest variations in fast network oscillations within the mPFC that may reflect the different functions and connectivity of these subregions. NEW & NOTEWORTHY We demonstrate, in the urethane-anesthetized rat, that within the medial prefrontal cortex (mPFC) there are clear subregional differences in the fast network oscillations associated with the slow oscillation Up-state. These differences, particularly between the dorsal and ventral subregions of the mPFC, may reflect the different functions and connectivity of these subregions.


2010 ◽  
Author(s):  
R. Tukel ◽  
B.A. Arslan ◽  
B.A. Ertekin ◽  
E. Ertekin ◽  
S. Oflaz ◽  
...  

Author(s):  
Max Suell Dutra ◽  
Luiz Bevilacqua ◽  
Luciano Santos Constantin Raptopoulos ◽  
Waltencir Andrade ◽  
André da Silva ◽  
...  
Keyword(s):  

Author(s):  
Michelle A. Frazer ◽  
Yesenia Cabrera ◽  
Rockelle S. Guthrie ◽  
Gina R. Poe

Abstract Purpose of review This paper reviews all optogenetic studies that directly test various sleep states, traits, and circuit-level activity profiles for the consolidation of different learning tasks. Recent findings Inhibiting or exciting neurons involved either in the production of sleep states or in the encoding and consolidation of memories reveals sleep states and traits that are essential for memory. REM sleep, NREM sleep, and the N2 transition to REM (characterized by sleep spindles) are integral to memory consolidation. Neural activity during sharp-wave ripples, slow oscillations, theta waves, and spindles are the mediators of this process. Summary These studies lend strong support to the hypothesis that sleep is essential to the consolidation of memories from the hippocampus and the consolidation of motor learning which does not necessarily involve the hippocampus. Future research can further probe the types of memory dependent on sleep-related traits and on the neurotransmitters and neuromodulators required.


2021 ◽  
Author(s):  
M. Edalati ◽  
M. Mahmoudzadeh ◽  
J. Safaie ◽  
F. Wallois ◽  
S. Moghimi

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