Striatum expresses region-specific plasticity consistent with distinct memory abilities

Pérez, Sylvie; Cui, Yihui; Vignoud, Gaëtan; Perrin, Elodie; Mendes, Alexandre; Zheng, Zhiwei; Touboul, Jonathan; Venance, Laurent

doi:10.1016/j.celrep.2022.110521

Cited by 15 publications

(11 citation statements)

References 74 publications

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“…dSPN neurons are known to track multiple motor variables across a variety of behavioral modalities 37,38 . Here we chose to record the activity of dSPN terminals in two standard behavioral assays well-known to engage and require the striatum and its direct inputs: an open field self-paced locomotion test and a rotarod motor task 32,[39][40][41][42][43][44][45][46] . In a first set of experiments Drd1-cre mice were unilaterally injected with a flexed jGCaMP7sexpressing AAV 47 into the DMS and implanted with optic fibers above the GPe and SNr (Fig.…”

Section: Dspns Send Copies Of Motor Signals To the Gpe And Snr Contin...mentioning

confidence: 99%

“…Indeed, striatal SPNs are known to track multiple types of motor variables beyond body speed; for instance they show sustained activity throughout the execution of motor sequences or track the temporal boundaries (onset, offset) of individual movements 40,48,49 . Mice were subjected to a rotarod motor assay known to engage the striatum 32,[39][40][41][42][43][44][45][46] which allows to impose repetitive motor patterns allowing experimental control on running speed and trial averaging. First, mice were subjected to 10 rotarod trials at accelerating speed (5 to 40 rpm).…”

Section: Dspns Send Copies Of Motor Signals To the Gpe And Snr Contin...mentioning

confidence: 99%

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A non-canonical striatopallidal “Go” pathway that supports motor control

Labouesse

Torres-Herraez

Chohan

et al. 2023

Preprint

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In the classical model of the basal ganglia, direct pathway striatal projection neurons (dSPNs) send projections to the substantia nigra (SNr) and entopeduncular nucleus to regulate motor function. Recent studies have re-established that dSPNs also possess “bridging” collaterals within the globus pallidus (GPe), yet the significance of these collaterals for behavior is unknown. Here we use in vivo optical and chemogenetic tools combined with deep learning approaches to dissect the roles of bridging collaterals in motor function. We find that dSPNs projecting to the SNr send synchronous motor-related information to the GPe via axon collaterals. Inhibition of native activity in dSPN GPe terminals impairs motor activity and function via regulation of pallidostriatal Npas1 neurons. We propose a model by which dSPN GPe collaterals (“striatopallidal Go pathway”) act in concert with the canonical terminals in the SNr to support motor control by inhibiting Npas1 signals going back to the striatum.

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Section: Dspns Send Copies Of Motor Signals To the Gpe And Snr Contin...mentioning

confidence: 99%

Section: Dspns Send Copies Of Motor Signals To the Gpe And Snr Contin...mentioning

confidence: 99%

A non-canonical striatopallidal “Go” pathway that supports motor control

Labouesse

Torres-Herraez

Chohan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Based on the fused micro-CT images registered in the standard mouse brain atlas, brain regions were automatically segmented to calculate the standardized uptake values (SUVbw) (Figure b). It is well-known that multiple brain regions are involved in learning and memory behaviors, among which the hippocampus and cortex, as the key brain regions for declarative long-term memory, are the first to be affected in AD. − Besides, the striatum and thalamus play essential roles in procedural memory networks, while the amygdala is an important structure regulating emotional learning and memory, all of which are progressively impaired in AD. − Similar to the whole-brain SUVbw changes, the reduced level of 18 F-FDG uptake in the hippocampus, cortex, striatum, thalamus, and amygdala of AD mice was significantly enhanced after GAF NP treatment, even higher than that of WT mice (Figure c). These results demonstrated that GAF NP treatment restored glucose supply in the whole brain and learning and memory-related brain regions of AD mice.…”

Section: Resultsmentioning

confidence: 99%

mTOR-Mediated Immunometabolic Reprogramming Nanomodulators Enable Sensitive Switching of Energy Deprivation-Induced Microglial Polarization for Alzheimer’s Disease Management

et al. 2023

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Metabolic reprogramming that senses brain homeostasis imbalances is necessary to drive detrimental microglial polarization, and specific targeting of this process contributes to the flexible control of pathological inflammatory responses in Alzheimer's disease (AD), displaying distinctive therapeutic benefits. Herein, glutathione-functionalized gold nanocages loaded with the immunosuppressant fingolimod hydrochloride are developed as brain-targeted and microglialocated immunometabolic reprogramming nanomodulators (GAF NPs) for AD management. By virtue of glutathionemediated transport properties, this nanomodulator can cross the blood-brain barrier and localize to microglia in AD lesions. Through blocking Akt/mTOR/HIF-1α signaling pathways, GAF NPs not only promote the dominated metabolic shift from glycolysis to oxidative phosphorylation under immune activation but also inhibit transporter-mediated glucose overconsumption by microglia. Correlation analysis based on realtime bioenergetic assessment and 18 F-labeled fluorodeoxyglucose (FDG) PET reveals that brain glucose utilization and metabolism restored by GAF NP treatment can serve as a sensitive and effective indicator for microglial M1 to M2 polarization switching, ultimately alleviating neuroinflammation and its derived neurodegeneration as well as ameliorating cognitive decline in AD mice. This work highlights a potential nanomedicine aimed at modifying mTOR-mediated immunometabolic reprogramming to halt energy deprivation-induced AD progression.

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“…Another relevant potential application of such methods concerns the inference of STDP rules from recordings of spiking activity. Many studies support the idea that several STDP rules might coexist in different cells or brain areas [35,36]. Nonetheless, such theories are complicated to test in vivo due to lack of statistical methodologies to estimate how synaptic weights evolve after STPD-triggering events.…”

Section: Discussionmentioning

confidence: 99%

Inferring the temporal evolution of synaptic weights from dynamic functional connectivity

2022

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How to capture the temporal evolution of synaptic weights from measures of dynamic functional connectivity between the activity of different simultaneously recorded neurons is an important and open problem in systems neuroscience. Here, we report methodological progress to address this issue. We first simulated recurrent neural network models of spiking neurons with spike timing-dependent plasticity mechanisms that generate time-varying synaptic and functional coupling. We then used these simulations to test analytical approaches that infer fixed and time-varying properties of synaptic connectivity from directed functional connectivity measures, such as cross-covariance and transfer entropy. We found that, while both cross-covariance and transfer entropy provide robust estimates of which synapses are present in the network and their communication delays, dynamic functional connectivity measured via cross-covariance better captures the evolution of synaptic weights over time. We also established how measures of information transmission delays from static functional connectivity computed over long recording periods (i.e., several hours) can improve shorter time-scale estimates of the temporal evolution of synaptic weights from dynamic functional connectivity. These results provide useful information about how to accurately estimate the temporal variation of synaptic strength from spiking activity measures.

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Striatum expresses region-specific plasticity consistent with distinct memory abilities

Cited by 15 publications

References 74 publications

A non-canonical striatopallidal “Go” pathway that supports motor control

A non-canonical striatopallidal “Go” pathway that supports motor control

mTOR-Mediated Immunometabolic Reprogramming Nanomodulators Enable Sensitive Switching of Energy Deprivation-Induced Microglial Polarization for Alzheimer’s Disease Management

Inferring the temporal evolution of synaptic weights from dynamic functional connectivity

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