Depolarization Block in the Endocannabinoid System of the Hippocampus

Depolarization block is such a mechanism that the firing activity of a neuronal system is stopped for particular values of the input current. It is important to block epilepsy or unpleasant firing rates. We investigate this property for a non-linear model of CA3 hippocampal neurons under the action of endocannabinoid transmitters. The aim is to discover if they induce depolarization block, a property already seen in other neuronal models and observed in some experiments, signifying that the neural population increases its spiking frequency as some main parameter changes until reaching a situation of no firing. The results is theoretical and it could be useful for investigating real system of neurons of the hippocampus. In some papers it has been shown that this property is connected with bistability, which means that the system has two equilibrium states for some ranges of its parameters. Endocannabinoids influence the learning and memory process and so we concentrate our attention on the CA3 neurons of the hippocampus. We find bistability and depolarization block for the considered model, which is a generalization of the Wilson-Cowan model. The model describes average properties of neurons divided in three classes: the excitatory neuronal population (CA3 neurons) and two types of inhibitory neuron populations (basket cells). The exogenous concentration of cannabinoids is the parameter that controls bistability. This result can be used for an experiment that could give information for medical therapy. We study the time evolution of the synapses connecting the excitatory population with two types of basket cells. The evolution of synaptic weights is considered to be a toy model of the learning process. But this model cannot encompass the complexity and diversity of exogenous and endogenous endocannabinoids effects in vivo.

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A deep convolutional visual encoding model of neuronal responses in the LGN

Brain Informatics ◽

10.1186/s40708-021-00132-6 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Eslam Mounier ◽

Bassem Abdullah ◽

Hani Mahdi ◽

Seif Eldawlatly

Keyword(s):

Firing Rate ◽

Visual Information ◽

Visual Stimulation ◽

Neuronal Population ◽

Neuronal Firing ◽

Electrode Arrays ◽

Deep Convolutional Neural Networks ◽

Firing Rates ◽

Spatiotemporal Representation

AbstractThe Lateral Geniculate Nucleus (LGN) represents one of the major processing sites along the visual pathway. Despite its crucial role in processing visual information and its utility as one target for recently developed visual prostheses, it is much less studied compared to the retina and the visual cortex. In this paper, we introduce a deep learning encoder to predict LGN neuronal firing in response to different visual stimulation patterns. The encoder comprises a deep Convolutional Neural Network (CNN) that incorporates visual stimulus spatiotemporal representation in addition to LGN neuronal firing history to predict the response of LGN neurons. Extracellular activity was recorded in vivo using multi-electrode arrays from single units in the LGN in 12 anesthetized rats with a total neuronal population of 150 units. Neural activity was recorded in response to single-pixel, checkerboard and geometrical shapes visual stimulation patterns. Extracted firing rates and the corresponding stimulation patterns were used to train the model. The performance of the model was assessed using different testing data sets and different firing rate windows. An overall mean correlation coefficient between the actual and the predicted firing rates of 0.57 and 0.7 was achieved for the 10 ms and the 50 ms firing rate windows, respectively. Results demonstrate that the model is robust to variability in the spatiotemporal properties of the recorded neurons outperforming other examined models including the state-of-the-art Generalized Linear Model (GLM). The results indicate the potential of deep convolutional neural networks as viable models of LGN firing.

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Neurotrophic Properties of Silexan, an Essential Oil from the Flowers of Lavender-Preclinical Evidence for Antidepressant-Like Properties

Pharmacopsychiatry ◽

10.1055/a-1293-8585 ◽

2020 ◽

Vol 54 (01) ◽

pp. 37-46

Author(s):

Kristina Friedland ◽

Giacomo Silani ◽

Anita Schuwald ◽

Carola Stockburger ◽

Egon Koch ◽

...

Keyword(s):

Essential Oil ◽

Hippocampal Neurons ◽

Day Treatment ◽

Neuronal Cell ◽

Antidepressant Activity ◽

In Vivo Models ◽

Antidepressant Effects ◽

Primary Hippocampal Neurons

Abstract Background Silexan, a special essential oil from flowering tops of lavandula angustifolia, is used to treat subsyndromal anxiety disorders. In a recent clinical trial, Silexan also showed antidepressant effects in patients suffering from mixed anxiety-depression (ICD-10 F41.2). Since preclinical data explaining antidepressant properties of Silexan are missing, we decided to investigate if Silexan also shows antidepressant-like effects in vitro as well as in vivo models. Methods We used the forced swimming test (FST) in rats as a simple behavioral test indicative of antidepressant activity in vivo. As environmental events and other risk factors contribute to depression through converging molecular and cellular mechanisms that disrupt neuronal function and morphology—resulting in dysfunction of the circuitry that is essential for mood regulation and cognitive function—we investigated the neurotrophic properties of Silexan in neuronal cell lines and primary hippocampal neurons. Results The antidepressant activity of Silexan (30 mg/kg BW) in the FST was comparable to the tricyclic antidepressant imipramine (20 mg/kg BW) after 9-day treatment. Silexan triggered neurite outgrowth and synaptogenesis in 2 different neuronal cell models and led to a significant increase in synaptogenesis in primary hippocampal neurons. Silexan led to a significant phosphorylation of protein kinase A and subsequent CREB phosphorylation. Conclusion Taken together, Silexan demonstrates antidepressant-like effects in cellular as well as animal models for antidepressant activity. Therefore, our data provides preclinical evidence for the clinical antidepressant effects of Silexan in patients with mixed depression and anxiety.

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Therapeutic Attributes of Endocannabinoid System against Neuro-Inflammatory Autoimmune Disorders

Molecules ◽

10.3390/molecules26113389 ◽

2021 ◽

Vol 26 (11) ◽

pp. 3389

Author(s):

Ishtiaq Ahmed ◽

Saif Ur Rehman ◽

Shiva Shahmohamadnejad ◽

Muhammad Anjum Zia ◽

Muhammad Ahmad ◽

...

Keyword(s):

Cannabinoid Receptors ◽

Cannabinoid Receptor ◽

Therapeutic Potential ◽

Endocannabinoid System ◽

Cell Types ◽

Autoimmune Disorders ◽

Specific Receptors ◽

Different Cell Types

In humans, various sites like cannabinoid receptors (CBR) having a binding affinity with cannabinoids are distributed on the surface of different cell types, where endocannabinoids (ECs) and derivatives of fatty acid can bind. The binding of these substance(s) triggers the activation of specific receptors required for various physiological functions, including pain sensation, memory, and appetite. The ECs and CBR perform multiple functions via the cannabinoid receptor 1 (CB1); cannabinoid receptor 2 (CB2), having a key effect in restraining neurotransmitters and the arrangement of cytokines. The role of cannabinoids in the immune system is illustrated because of their immunosuppressive characteristics. These characteristics include inhibition of leucocyte proliferation, T cells apoptosis, and induction of macrophages along with reduced pro-inflammatory cytokines secretion. The review seeks to discuss the functional relationship between the endocannabinoid system (ECS) and anti-tumor characteristics of cannabinoids in various cancers. The therapeutic potential of cannabinoids for cancer—both in vivo and in vitro clinical trials—has also been highlighted and reported to be effective in mice models in arthritis for the inflammation reduction, neuropathic pain, positive effect in multiple sclerosis and type-1 diabetes mellitus, and found beneficial for treating in various cancers. In human models, such studies are limited; thereby, further research is indispensable in this field to get a conclusive outcome. Therefore, in autoimmune disorders, therapeutic cannabinoids can serve as promising immunosuppressive and anti-fibrotic agents.

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FKBP51 Modulates Hippocampal Size and Function in Post-translational Regulation of Parkin

10.21203/rs.3.rs-493867/v1 ◽

2021 ◽

Author(s):

Bin Qiu ◽

Zhaohui Zhong ◽

Shawn Righter ◽

Yuxue Xu ◽

Jun Wang ◽

...

Keyword(s):

Hippocampal Neurons ◽

Translational Regulation ◽

Disease Onset ◽

Fold Increase ◽

Knock Out ◽

Fk506 Binding Protein ◽

Protein Levels ◽

And Function

Abstract FK506-binding protein 51 (encoded by Fkpb51) has been associated with stress-related mental illness. To identify its function, we studied the morphological consequences of Fkbp51 deletion. Artificial Intelligence-assist morphological analysis identified that Fkbp51 knock-out (KO) mice possess more elongated CA and DG but shorter in height in coronal section when compared to WT. Primary cultured Fkbp51 KO hippocampal neurons were shown to exhibit larger dendritic outgrowth than wild-type (WT) controls, pharmacological manipulation experiments suggest that this may occur through regulation of microtubule-associated protein. Both in vitro primary culture and in vivo labeling support that FKBP51 regulates microtubule-associated protein expression. Furthermore, in the absence of differences in mRNA expression, Fkbp51 KO hippocampus exhibited decreases in βIII-tubulin, MAP2, and Tau protein levels, but a greater than 2.5-fold increase in Parkin protein. Overexpression and knock-down FKBP51 demonstrated that FKBP51 negatively regulates Parkin in a dose-dependent and ubiquitin-mediated manner. These results indicate a potential novel post-translational regulatory of Parkin by FKBP51 and significance of their interaction on disease onset.

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Thy1 transgenic mice expressing the red fluorescent calcium indicator jRGECO1a for neuronal population imaging in vivo

PLoS ONE ◽

10.1371/journal.pone.0205444 ◽

2018 ◽

Vol 13 (10) ◽

pp. e0205444 ◽

Cited By ~ 15

Author(s):

Hod Dana ◽

Ondrej Novak ◽

Michael Guardado-Montesino ◽

James W. Fransen ◽

Amy Hu ◽

...

Keyword(s):

Transgenic Mice ◽

Neuronal Population ◽

Calcium Indicator ◽

Population Imaging

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Regulation of GABAergic synapse formation and plasticity by GSK3β-dependent phosphorylation of gephyrin

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1011824108 ◽

2010 ◽

Vol 108 (1) ◽

pp. 379-384 ◽

Cited By ~ 116

Author(s):

Shiva K. Tyagarajan ◽

Himanish Ghosh ◽

Gonzalo E. Yévenes ◽

Irina Nikonenko ◽

Claire Ebeling ◽

...

Keyword(s):

Synaptic Plasticity ◽

Hippocampal Neurons ◽

Glycogen Synthase ◽

Phosphorylation Site ◽

Scaffolding Protein ◽

Scaffolding Proteins ◽

Gabaergic Synapse ◽

Gabaergic Synapses

Postsynaptic scaffolding proteins ensure efficient neurotransmission by anchoring receptors and signaling molecules in synapse-specific subcellular domains. In turn, posttranslational modifications of scaffolding proteins contribute to synaptic plasticity by remodeling the postsynaptic apparatus. Though these mechanisms are operant in glutamatergic synapses, little is known about regulation of GABAergic synapses, which mediate inhibitory transmission in the CNS. Here, we focused on gephyrin, the main scaffolding protein of GABAergic synapses. We identify a unique phosphorylation site in gephyrin, Ser270, targeted by glycogen synthase kinase 3β (GSK3β) to modulate GABAergic transmission. Abolishing Ser270 phosphorylation increased the density of gephyrin clusters and the frequency of miniature GABAergic postsynaptic currents in cultured hippocampal neurons. Enhanced, phosphorylation-dependent gephyrin clustering was also induced in vitro and in vivo with lithium chloride. Lithium is a GSK3β inhibitor used therapeutically as mood-stabilizing drug, which underscores the relevance of this posttranslational modification for synaptic plasticity. Conversely, we show that gephyrin availability for postsynaptic clustering is limited by Ca2+-dependent gephyrin cleavage by the cysteine protease calpain-1. Together, these findings identify gephyrin as synaptogenic molecule regulating GABAergic synaptic plasticity, likely contributing to the therapeutic action of lithium.

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Altered Regulation of Potassium and Calcium Channels by GABAB and Adenosine Receptors in Hippocampal Neurons From Mice Lacking Gαo

Journal of Neurophysiology ◽

10.1152/jn.2000.83.2.1010 ◽

2000 ◽

Vol 83 (2) ◽

pp. 1010-1018 ◽

Cited By ~ 33

Author(s):

Gabriela J. Greif ◽

Deborah L. Sodickson ◽

Bruce P. Bean ◽

Eva J. Neer ◽

Ulrike Mende

Keyword(s):

Time Constant ◽

Hippocampal Neurons ◽

Ionic Currents ◽

Absolute Requirement ◽

Voltage Dependent ◽

Hippocampal Ca3 ◽

Ca3 Neurons ◽

Inwardly Rectifying ◽

G Protein Coupled

To examine the role of Go in modulation of ion channels by neurotransmitter receptors, we characterized modulation of ionic currents in hippocampal CA3 neurons from mice lacking both isoforms of Gαo. In CA3 neurons from Gαo −/− mice, 2-chloro-adenosine and the GABAB-receptor agonist baclofen activated inwardly rectifying K+ currents and inhibited voltage-dependent Ca2+ currents just as effectively as in Gαo +/+ littermates. However, the kinetics of transmitter action were dramatically altered in Gαo −/− mice in that recovery on washout of agonist was much slower. For example, recovery from 2-chloro-adenosine inhibition of calcium current was more than fourfold slower in neurons from Gαo −/− mice [time constant of 12.0 ± 0.8 (SE) s] than in neurons from Gαo +/+ mice (time constant of 2.6 ± 0.2 s). Recovery from baclofen effects was affected similarly. In neurons from control mice, effects of both baclofen and 2-chloro-adenosine on Ca2+ currents and K+currents were abolished by brief exposure to external N-ethyl-maleimide (NEM). In neurons lacking Gαo, some inhibition of Ca2+ currents by baclofen remained after NEM treatment, whereas baclofen activation of K+ currents and both effects of 2-chloro-adenosine were abolished. These results show that modulation of Ca2+ and K+ currents by G protein-coupled receptors in hippocampal neurons does not have an absolute requirement for Gαo. However, modulation is changed in the absence of Gαo in having much slower recovery kinetics. A likely possibility is that the very abundant Gαo is normally used but, when absent, can readily be replaced by G proteins with different properties.

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Two-Photon Processor and SeNeCA: a freely available software package to process data from two-photon calcium imaging at speeds down to several milliseconds per frame

Journal of Neurophysiology ◽

10.1152/jn.00087.2013 ◽

2013 ◽

Vol 110 (1) ◽

pp. 243-256 ◽

Cited By ~ 15

Author(s):

Jakub Tomek ◽

Ondrej Novak ◽

Josef Syka

Keyword(s):

Calcium Imaging ◽

Software Package ◽

Motion Artifacts ◽

Calcium Signal ◽

Neural Cells ◽

Neuronal System ◽

Process Data ◽

Entire Area ◽

Two Photon

Two-Photon Processor (TPP) is a versatile, ready-to-use, and freely available software package in MATLAB to process data from in vivo two-photon calcium imaging. TPP includes routines to search for cell bodies in full-frame (Search for Neural Cells Accelerated; SeNeCA) and line-scan acquisition, routines for calcium signal calculations, filtering, spike-mining, and routines to construct parametric fields. Searching for somata in artificial in vivo data, our algorithm achieved better performance than human annotators. SeNeCA copes well with uneven background brightness and in-plane motion artifacts, the major problems in simple segmentation methods. In the fast mode, artificial in vivo images with a resolution of 256 × 256 pixels containing ∼100 neurons can be processed at a rate up to 175 frames per second (tested on Intel i7, 8 threads, magnetic hard disk drive). This speed of a segmentation algorithm could bring new possibilities into the field of in vivo optophysiology. With such a short latency (down to 5–6 ms on an ordinary personal computer) and using some contemporary optogenetic tools, it will allow experiments in which a control program can continuously evaluate the occurrence of a particular spatial pattern of activity (a possible correlate of memory or cognition) and subsequently inhibit/stimulate the entire area of the circuit or inhibit/stimulate a different part of the neuronal system. TPP will be freely available on our public web site. Similar all-in-one and freely available software has not yet been published.

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TrkB deubiquitylation by USP8 regulates receptor levels and BDNF-dependent neuronal differentiation

Journal of Cell Science ◽

10.1242/jcs.247841 ◽

2020 ◽

Vol 133 (24) ◽

pp. jcs247841 ◽

Cited By ~ 1

Author(s):

Carlos Martín-Rodríguez ◽

Minseok Song ◽

Begoña Anta ◽

Francisco J. González-Calvo ◽

Rubén Deogracias ◽

...

Keyword(s):

Neuronal Differentiation ◽

Neurotrophic Factor ◽

Tyrosine Kinases ◽

Hippocampal Neurons ◽

Receptor Tyrosine Kinases ◽

Neurotrophin Receptor ◽

C Terminus ◽

Carboxyl Terminal

ABSTRACTUbiquitylation of receptor tyrosine kinases (RTKs) regulates both the levels and functions of these receptors. The neurotrophin receptor TrkB (also known as NTRK2), a RTK, is ubiquitylated upon activation by brain-derived neurotrophic factor (BDNF) binding. Although TrkB ubiquitylation has been demonstrated, there is a lack of knowledge regarding the precise repertoire of proteins that regulates TrkB ubiquitylation. Here, we provide mechanistic evidence indicating that ubiquitin carboxyl-terminal hydrolase 8 (USP8) modulates BDNF- and TrkB-dependent neuronal differentiation. USP8 binds to the C-terminus of TrkB using its microtubule-interacting domain (MIT). Immunopurified USP8 deubiquitylates TrkB in vitro, whereas knockdown of USP8 results in enhanced ubiquitylation of TrkB upon BDNF treatment in neurons. As a consequence of USP8 depletion, TrkB levels and its activation are reduced. Moreover, USP8 protein regulates the differentiation and correct BDNF-dependent dendritic formation of hippocampal neurons in vitro and in vivo. We conclude that USP8 positively regulates the levels and activation of TrkB, modulating BDNF-dependent neuronal differentiation.This article has an associated First Person interview with the first author of the paper.

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L-type calcium channels refine the neural population code of sound level

Journal of Neurophysiology ◽

10.1152/jn.00657.2016 ◽

2016 ◽

Vol 116 (6) ◽

pp. 2550-2563 ◽

Cited By ~ 2

Author(s):

Calum Alex Grimsley ◽

David Brian Green ◽

Shobhana Sivaramakrishnan

Keyword(s):

Calcium Channels ◽

Calcium Current ◽

Dynamic Range ◽

Sound Level ◽

Neural Population ◽

Total Calcium ◽

Local Networks ◽

Sound Levels ◽

Local Circuits

The coding of sound level by ensembles of neurons improves the accuracy with which listeners identify how loud a sound is. In the auditory system, the rate at which neurons fire in response to changes in sound level is shaped by local networks. Voltage-gated conductances alter local output by regulating neuronal firing, but their role in modulating responses to sound level is unclear. We tested the effects of L-type calcium channels (CaL: CaV1.1–1.4) on sound-level coding in the central nucleus of the inferior colliculus (ICC) in the auditory midbrain. We characterized the contribution of CaL to the total calcium current in brain slices and then examined its effects on rate-level functions (RLFs) in vivo using single-unit recordings in awake mice. CaL is a high-threshold current and comprises ∼50% of the total calcium current in ICC neurons. In vivo, CaL activates at sound levels that evoke high firing rates. In RLFs that increase monotonically with sound level, CaL boosts spike rates at high sound levels and increases the maximum firing rate achieved. In different populations of RLFs that change nonmonotonically with sound level, CaL either suppresses or enhances firing at sound levels that evoke maximum firing. CaL multiplies the gain of monotonic RLFs with dynamic range and divides the gain of nonmonotonic RLFs with the width of the RLF. These results suggest that a single broad class of calcium channels activates enhancing and suppressing local circuits to regulate the sensitivity of neuronal populations to sound level.

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