Natural VTA activity during NREM sleep influences future exploratory behavior

Harris, Julia J.; Kollo, Mihaly; Erskine, Andrew; Schaefer, Andreas; Burdakov, Denis

doi:10.1016/j.isci.2022.104396

Cited by 9 publications

(7 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite this, dopamine has been shown to have a causal role in offline memory consolidation 62-65 and whether this is due to coordination between replay and dopamine release in the dorsal striatum needs to be investigated.…”

Section: Discussionmentioning

confidence: 99%

Replay of procedural experience is independent of the hippocampus

Thompson,

Rollik,

Waked

et al. 2024

Preprint

View full text Add to dashboard Cite

Sleep is critical for consolidating all forms of memory1-3, from episodic experience to the development of motor skills4-6. A core feature of the consolidation process is offline replay of neuronal firing patterns that occur during experience7,8. This replay is thought to originate in the hippocampus and trigger the reactivation of ensembles of cortical and subcortical neurons1,3,9-18. However, non-declarative memories do not require the hippocampus for learning or for sleep-dependent consolidation19-26meaning what drives their consolidation is unknown. Here we show, using an unsupervised method, that replay occurs in the dorsal striatum of mice during offline consolidation of a non-declarative, procedural, memory and that this replay is generated independently of the hippocampus. Replay occurred at both real-world and time-compressed speeds and was also prioritised both at the level of the individual neurons and the type of neural sequence. Complete bilateral lesions of the hippocampus had no effect on any feature of this replay. Our results demonstrate that procedural replay during consolidation of a non-declarative memory is independent of the hippocampus. These results support the view that replay drives active consolidation of all types of memory during sleep but challenges the idea that the hippocampus is the source of this replay.

show abstract

Section: Discussionmentioning

confidence: 99%

Replay of procedural experience is independent of the hippocampus

Thompson,

Rollik,

Waked

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Fibre photometry was performed using the Doric fibre photometry system, in lock-in mode using simultaneous illumination with two LEDs (405-nm and 465-nm excitation, oscillating at 334 and 471 Hz, respectively; average power, ~100 μW at the fibre tip). Fluorescence produced by 405-nm excitation provided a real-time control for motion artefacts (Kim et al, 2016; Harris et al, 2022). To produce the plotted % ΔF/F values, the raw 405-nm–excited signal was fitted to the 465-nm–excited signal, then the % ΔF/F time series was calculated for each session as [100*(465 signal – fitted 405 signal)/fitted 405 signal], based on Lerner et al (2015).…”

Section: Methodsmentioning

confidence: 99%

A role for MCH neuron firing in hippocampal plasticity and learning

Harris

Concetti

Peleg‐Raibstein

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

It has been revealed that melanin-concentrating hormone (MCH) neurons in the hypothalamus can influence learning (Liu et al., 2022) and memory formation (Kosse & Burdakov, 2019), but the cellular mechanisms by which they perform this function are not understood. Here, we examine the role of MCH neural input to the hippocampus, and showin vitrothat optogenetically increasing MCH axon activity facilitates hippocampal plasticity by lowering the threshold for synaptic potentiation.In vivo, we find that MCH neurons are naturally active in response to reinforcing cues during a spatial learning task, and that this activity is correlated with the speed of learning. Together, our results align with increasing evidence that MCH neurons play an ‘on-line’ regulatory role in learning, and reveal that this could be achieved through modulation of synaptic plasticity in the hippocampus.

show abstract

“…Arousal states -NREM, REM and wake -were automatically classified using sleep analysis software in Spike2, and then manually verified in 5 second epochs (as in Harris et al, 2022). Wakefulness was defined as de-synchronised, low amplitude EEG and tonic EMG with bursts of movement.…”

Section: Data Analysis -Vigilance State Classificationmentioning

confidence: 99%

Wireless monitoring of respiration with EEG reveals relationships between respiration, behaviour and brain activity in freely moving mice

Dasgupta

Schneider-Luftman

Schaefer

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Active sampling in the olfactory domain is an important aspect of mouse behaviour. Numerous methods are being used to measure active sampling behaviour, yet reliable observation of respiration in untethered, freely moving animals is challenging. So far, methods for measuring this have largely been restricted to head-fixed sniff monitoring, which makes it difficult to understand how sniff changes are related to natural mouse behaviour. Here, we implant a telemetry-based pressure sensor into the right jugular vein, which allows respiration to be measured via wireless thoracic pressure sensing in awake and freely moving, untethered mice. After verifying this technique against standard head-fixed respiration measurements, we investigated respiration patterns across a range of experiments in freely moving animals. Respiration frequency increased as mice voluntarily explored novel environmental cues. Combining wireless respiration measurements with EEG/EMG recording, we then used an evolving partial coherence analysis to uncover the direct relationships between respiration and brain activity in different frequency bands over the same exploration period. Finally, we examined respiration patterns across different vigilance states, revealing changes in passive respiration frequency across wakefulness, deep (NREM) sleep and dreaming (REM) sleep, and odour-triggered respiration increases in the absence of brain activity changes during NREM sleep. As it can be combined with behavioural assays and brain recordings, we anticipate that wireless respiration monitoring will be a valuable tool to increase our understanding of how mice use olfaction to process and interact with the environment around them.

show abstract

Natural VTA activity during NREM sleep influences future exploratory behavior

Cited by 9 publications

References 52 publications

Replay of procedural experience is independent of the hippocampus

Replay of procedural experience is independent of the hippocampus

A role for MCH neuron firing in hippocampal plasticity and learning

Wireless monitoring of respiration with EEG reveals relationships between respiration, behaviour and brain activity in freely moving mice

Contact Info

Product

Resources

About