Experience-Dependent Bimodal Plasticity of Inhibitory Neurons in Early Development

He, Haibing; Shen, Wanhua; Hiramoto, Masaki; Cline, Hollis T.

doi:10.1016/j.neuron.2016.04.044

Cited by 30 publications

(47 citation statements)

References 85 publications

(112 reference statements)

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“…GluA1CTP expression decreased both PSD95 and gephyrin puncta in excitatory neurons but not in inhibitory neurons. Given that over 70% of tectal neurons are excitatory 19 , these results are consistent with decreased mEPSC and mIPSC frequency seen in electrophysiological recordings from randomly recorded neurons, and demonstrate cellautonomous loss of inhibitory synaptic inputs induced by decreased excitatory input in both excitatory and inhibitory neurons.…”

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In supporting

confidence: 77%

“…6d-g). The observation that decreased excitatory inputs significantly affected the STVE response in excitatory neurons and the dark response in inhibitory neurons provides further evidence that the plasticity of inhibitory tectal neurons is actively regulated in dark 19,22 .…”

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 69%

“…Excitatory and inhibitory tectal neurons demonstrate different visual experience-dependent structural and functional plasticity 19 . To test whether disrupting excitatory synaptic transmission affects excitatory and inhibitory neurons differentially, we combined immunohistochemical labeling of the excitatory and inhibitory synaptic markers PSD95 and gephyrin, with GABA immunolabeling to examine the density of excitatory and inhibitory postsynaptic puncta in dendrites of GluACTP-expressing neurons.…”

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 99%

“…2g-h), these results again suggest that, unlike excitatory neurons, inhibitory tectal neurons are more sensitive to the disruption of GluA2-mediated AMPAR trafficking. The loss of the bi-modal plasticity response indicates that disrupting excitatory synaptic inputs to inhibitory neurons changed their circuit connectivity 19 .…”

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 99%

“…Albino Xenopus laevis were reared as previously described 19 . All animal protocols were For whole-cell recordings, tadpoles were anesthetized and tectal lobes were cut along the dorsal midline with a sharp needle.…”

Section: Animals and Transfectionmentioning

confidence: 99%

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Cell-autonomous regulation of structural and functional plasticity in inhibitory neurons by excitatory synaptic inputs

Shen

Zheng

et al. 2017

Preprint

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Functional circuit assembly is thought to require coordinated development of excitation and inhibition, but whether they are co-regulated cell-autonomously remains unclear. We investigated effects of decreased glutamatergic synaptic input on inhibitory synapses by expressing AMPAR subunit, GluA1 and GluA2, C-terminal peptides (GluA1CTP and GluA2CTP) in developing Xenopus tectal neurons. GluACTP decreased excitatory synaptic inputs and cell-autonomously decreased inhibitory synaptic inputs in excitatory and inhibitory neurons. Visually-evoked excitatory and inhibitory currents decreased proportionately, maintaining excitation/inhibition. GluACTP affected dendrite structure and visual experience-dependent structural plasticity differently in excitatory and inhibitory neurons. Deficits in excitatory and inhibitory synaptic transmission and experience-dependent plasticity manifested in altered visual receptive field properties. Both visual avoidance behavior and learning-induced behavioral plasticity were impaired, suggesting that maintaining excitation/inhibition alone is insufficient to preserve circuit function. We demonstrate that excitatory synaptic dysfunction in individual neurons cell-autonomously decreases inhibitory inputs and disrupts neuronal and circuit plasticity, information processing and learning.

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Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In supporting

confidence: 77%

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 69%

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 99%

Section: To Test Whether Decreasing Glutamatergic Synaptic Inputs In mentioning

confidence: 99%

Section: Animals and Transfectionmentioning

confidence: 99%

See 3 more Smart Citations

Cell-autonomous regulation of structural and functional plasticity in inhibitory neurons by excitatory synaptic inputs

Shen

Zheng

et al. 2017

Preprint

Self Cite

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Label‐free, whole‐brain in vivo mapping in an adult vertebrate with third harmonic generation microscopy

Akbari,

Tatarsky,

Kolkman

et al. 2024

J of Comparative Neurology

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Comprehensive understanding of interconnected networks within the brain requires access to high resolution information within large field of views and over time. Currently, methods that enable mapping structural changes of the entire brain in vivo are extremely limited. Third harmonic generation (THG) can resolve myelinated structures, blood vessels, and cell bodies throughout the brain without the need for any exogenous labeling. Together with deep penetration of long wavelengths, this enables in vivo brain‐mapping of large fractions of the brain in small animals and over time. Here, we demonstrate that THG microscopy allows non‐invasive label‐free mapping of the entire brain of an adult vertebrate, Danionella dracula, which is a miniature species of cyprinid fish. We show this capability in multiple brain regions and in particular the identification of major commissural fiber bundles in the midbrain and the hindbrain. These features provide readily discernable landmarks for navigation and identification of regional‐specific neuronal groups and even single neurons during in vivo experiments. We further show how this label‐free technique can easily be coupled with fluorescence microscopy and used as a comparative tool for studies of other species with similar body features to Danionella, such as zebrafish (Danio rerio) and tetras (Trochilocharax ornatus). This new evidence, building on previous studies, demonstrates how small size and relative transparency, combined with the unique capabilities of THG microscopy, can enable label‐free access to the entire adult vertebrate brain.

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On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks

Shirani,

Choi

2023

J Comput Neurosci

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Overall balance of excitation and inhibition in cortical networks is central to their functionality and normal operation. Such orchestrated co-evolution of excitation and inhibition is established through convoluted local interactions between neurons, which are organized by specific network connectivity structures and are dynamically controlled by modulating synaptic activities. Therefore, identifying how such structural and physiological factors contribute to establishment of overall balance of excitation and inhibition is crucial in understanding the homeostatic plasticity mechanisms that regulate the balance. We use biologically plausible mathematical models to extensively study the effects of multiple key factors on overall balance of a network. We characterize a network’s baseline balanced state by certain functional properties, and demonstrate how variations in physiological and structural parameters of the network deviate this balance and, in particular, result in transitions in spontaneous activity of the network to high-amplitude slow oscillatory regimes. We show that deviations from the reference balanced state can be continuously quantified by measuring the ratio of mean excitatory to mean inhibitory synaptic conductances in the network. Our results suggest that the commonly observed ratio of the number of inhibitory to the number of excitatory neurons in local cortical networks is almost optimal for their stability and excitability. Moreover, the values of inhibitory synaptic decay time constants and density of inhibitory-to-inhibitory network connectivity are critical to overall balance and stability of cortical networks. However, network stability in our results is sufficiently robust against modulations of synaptic quantal conductances, as required by their role in learning and memory. Our study based on extensive bifurcation analyses thus reveal the functional optimality and criticality of structural and physiological parameters in establishing the baseline operating state of local cortical networks.

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Experience-Dependent Bimodal Plasticity of Inhibitory Neurons in Early Development

Cited by 30 publications

References 85 publications

Cell-autonomous regulation of structural and functional plasticity in inhibitory neurons by excitatory synaptic inputs

Cell-autonomous regulation of structural and functional plasticity in inhibitory neurons by excitatory synaptic inputs

Label‐free, whole‐brain in vivo mapping in an adult vertebrate with third harmonic generation microscopy

On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks

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