Browse
Submit Data
Databases
API
Help

Dataset Information

25 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep.

ABSTRACT: The dialogue between cortex and hippocampus is known to be crucial for sleep-dependent memory consolidation. During slow wave sleep, memory replay depends on slow oscillation (SO) and spindles in the (neo)cortex and sharp wave-ripples (SWRs) in the hippocampus. The mechanisms underlying interaction of these rhythms are poorly understood. We examined the interaction between cortical SO and hippocampal SWRs in a model of the hippocampo-cortico-thalamic network and compared the results with human intracranial recordings during sleep. We observed that ripple occurrence peaked following the onset of an Up-state of SO and that cortical input to hippocampus was crucial to maintain this relationship. A small fraction of ripples occurred during the Down-state and controlled initiation of the next Up-state. We observed that the effect of ripple depends on its precise timing, which supports the idea that ripples occurring at different phases of SO might serve different functions, particularly in the context of encoding the new and reactivation of the old memories during memory consolidation. The study revealed complex bidirectional interaction of SWRs and SO in which early hippocampal ripples influence transitions to Up-state, while cortical Up-states control occurrence of the later ripples, which in turn influence transition to Down-state.

SUBMITTER: Sanda P

PROVIDER: S-EPMC8179633 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Prefrontal atrophy, disrupted NREM slow waves and impaired hippocampal-dependent memory in aging.

Project description:Aging has independently been associated with regional brain atrophy, reduced slow wave activity (SWA) during non-rapid eye movement (NREM) sleep and impaired long-term retention of episodic memories. However, whether the interaction of these factors represents a neuropatholgical pathway associated with cognitive decline in later life remains unknown. We found that age-related medial prefrontal cortex (mPFC) gray-matter atrophy was associated with reduced NREM SWA in older adults, the extent to which statistically mediated the impairment of overnight sleep-dependent memory retention. Moreover, this memory impairment was further associated with persistent hippocampal activation and reduced task-related hippocampal-prefrontal cortex functional connectivity, potentially representing impoverished hippocampal-neocortical memory transformation. Together, these data support a model in which age-related mPFC atrophy diminishes SWA, the functional consequence of which is impaired long-term memory. Such findings suggest that sleep disruption in the elderly, mediated by structural brain changes, represents a contributing factor to age-related cognitive decline in later life.

| S-EPMC4286370 | biostudies-literature

Slow-? Rhythms Coordinate Cingulate Cortical Responses to Hippocampal Sharp-Wave Ripples during Wakefulness.

Project description:Behavioral changes in response to reward require monitoring past behavior relative to present outcomes. This is thought to involve a fine coordination between the hippocampus (HIPP), which stores and replays memories of past events, and cortical regions such as cingulate cortex, responsible for behavioral planning. Sharp-wave ripple (SWR)-mediated memory replay in the HIPP of awake rodents contributes to learning, but cortical responses to hippocampal SWR during wakefulness are not known. We now show that in rats, during quiet-wakefulness, cingulate neurons exhibit significant responses to SWR, as well as increased modulation by the accompanying hippocampal local field potential slow-? oscillation, a rhythm associated with intra-hippocampal information processing. The magnitude of cingulate neurons' responses to SWR is significantly correlated with the degree of their modulation by HIPP slow-?. We hypothesize that during pauses cingulate neurons transiently access episodic information concerning previous choices, replayed by HIPP SWR, to evaluate past trajectories in light of their outcome.

| S-EPMC4654990 | biostudies-literature

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner

Project description:This SuperSeries is composed of the SubSeries listed below.

2024-01-12 | GSE189353 | GEO

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner [agilent_forebrain]

Project description:Micro-RNAs (miRNAs) are key, post-transcriptional regulators of gene expression that have been implicated in a plethora of biological processes. Their role in sleep, however, has received little attention. We first investigated the effects of sleep deprivation on the brain miRNA transcriptome. Sleep deprivation affected 52 miRNAs in the whole brain, and particularly miR-709, an activity-dependent microRNA, enriched in the cerebral cortex.

2024-01-12 | GSE189348 | GEO

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner [agilent_cortex_hippocampus]

Project description:Micro-RNAs (miRNAs) are key, post-transcriptional regulators of gene expression that have been implicated in a plethora of biological processes. Their role in sleep, however, has received little attention. In this experiment we investigated the effects of sleep deprivation on the cortex and hippocampus miRNA transcriptome. In this experiment we observed different miRNAs being affected by sleep deprivation in the cortex and hippocampus.

2024-01-12 | GSE189319 | GEO

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner [NanoString]

Project description:Micro-RNAs (miRNAs) are key, post-transcriptional regulators of gene expression that have been implicated in a plethora of biological processes. Their role in sleep, however, has received little attention. In this experiment, we investigated the effects of in vivo miR-709 inhibition on the cortical transcriptome of adult mice.

2024-01-12 | GSE189313 | GEO

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner [RNA-seq]

Project description:Micro-RNAs (miRNAs) are key, post-transcriptional regulators of gene expression that have been implicated in a plethora of biological processes. Their role in sleep, however, has received little attention. In the current experiment, we investigated the effects of in vitro miR-709 inhibition on the transcriptome of primary cortical neurons.

2024-01-12 | GSE189335 | GEO

?-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation.

Project description:Independent evidence associates ?-amyloid pathology with both non-rapid eye movement (NREM) sleep disruption and memory impairment in older adults. However, whether the influence of ?-amyloid pathology on hippocampus-dependent memory is, in part, driven by impairments of NREM slow wave activity (SWA) and associated overnight memory consolidation is unknown. Here we show that ?-amyloid burden in medial prefrontal cortex (mPFC) correlates significantly with the severity of impairment in NREM SWA generation. Moreover, reduced NREM SWA generation was further associated with impaired overnight memory consolidation and impoverished hippocampal-neocortical memory transformation. Furthermore, structural equation models revealed that the association between mPFC ?-amyloid pathology and impaired hippocampus-dependent memory consolidation was not direct, but instead statistically depended on the intermediary factor of diminished NREM SWA. By linking ?-amyloid pathology with impaired NREM SWA, these data implicate sleep disruption as a mechanistic pathway through which ?-amyloid pathology may contribute to hippocampus-dependent cognitive decline in the elderly.

| S-EPMC4482795 | biostudies-literature

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.

Project description:The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to combine contextual hints with sensory perceptions. Together with sleep, these mechanisms are thought to be key components of many high-level cognitive functions. Yet, little is known about the underlying processes and the specific roles of different brain states. In this work, we exploited the combination of context and perception in a thalamo-cortical model based on a soft winner-take-all circuit of excitatory and inhibitory spiking neurons. After calibrating this model to express awake and deep-sleep states with features comparable with biological measures, we demonstrate the model capability of fast incremental learning from few examples, its resilience when proposed with noisy perceptions and contextual signals, and an improvement in visual classification after sleep due to induced synaptic homeostasis and association of similar memories.

| S-EPMC8270441 | biostudies-literature

Local and Widespread Slow Waves in Stable NREM Sleep: Evidence for Distinct Regulation Mechanisms.

Project description:Previous work showed that two types of slow waves are temporally dissociated during the transition to sleep: widespread, large and steep slow waves predominate early in the falling asleep period (type I), while smaller, more circumscribed slow waves become more prevalent later (type II). Here, we studied the possible occurrence of these two types of slow waves in stable non-REM (NREM) sleep and explored potential differences in their regulation. A heuristic approach based on slow wave synchronization efficiency was developed and applied to high-density electroencephalographic (EEG) recordings collected during consolidated NREM sleep to identify the potential type I and type II slow waves. Slow waves with characteristics compatible with those previously described for type I and type II were identified in stable NREM sleep. Importantly, these slow waves underwent opposite changes across the night, with only type II slow waves displaying a clear homeostatic regulation. In addition, we showed that the occurrence of type I slow waves was often followed by larger type II slow waves, whereas the occurrence of type II slow waves was usually followed by smaller type I waves. Finally, type II slow waves were associated with a relative increase in spindle activity, while type I slow waves triggered periods of high-frequency activity. Our results provide evidence for the existence of two distinct slow wave synchronization processes that underlie two different types of slow waves. These slow waves may have different functional roles and mark partially distinct "micro-states" of the sleeping brain.

| S-EPMC6018150 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data