Dystrophin is required for normal synaptic gain in the Drosophila olfactory circuit

2019 ◽  
Vol 1712 ◽  
pp. 158-166
Author(s):  
Salinee Jantrapirom ◽  
De-Shou Cao ◽  
Jing W. Wang ◽  
Huey Hing ◽  
Christopher J. Tabone ◽  
...  
Keyword(s):  
2018 ◽  
Vol 596 (17) ◽  
pp. 4157-4172 ◽  
Author(s):  
Eric W. Salter ◽  
Julia K. Sunstrum ◽  
Sara Matovic ◽  
Wataru Inoue

2006 ◽  
Vol 96 (6) ◽  
pp. 3104-3113 ◽  
Author(s):  
Paul H. M. Kullmann ◽  
John P. Horn

Acetylcholine excites many neuronal types by binding to postsynaptic m1-muscarinic receptors that signal to ion channels through the Gq/11 protein. To investigate the functional significance of this metabotropic pathway in sympathetic ganglia, we studied how muscarinic excitation modulated the integration of virtual nicotinic excitatory postsynaptic potentials (EPSPs) created in dissociated bullfrog B-type sympathetic neurons with the dynamic-clamp technique. Muscarine (1 μM) strengthened the impact of virtual synapses by reducing the artificial nicotinic conductance required to reach the postsynaptic firing threshold from 20.9 ± 5.4 to 13.1 ± 3.1 nS. Consequently, postganglionic action potential output increased by 4–215% when driven by different patterns of virtual presynaptic activity that were chosen to reflect the range of physiological firing rates and convergence levels seen in amphibian and mammalian sympathetic ganglia. In addition to inhibiting the M-type K+ conductance, muscarine activated a leak conductance in three of 37 cells. When this leak conductance was reproduced with the dynamic clamp, it also acted to strengthen virtual nicotinic synapses and enhance postganglionic spike output. Combining pharmacological M-conductance suppression with virtual leak activation, at resting potentials between −50 and −55 mV, produced synergistic strengthening of nicotinic synapses and an increase in the integrated postganglionic spike output. Together, these results reveal how muscarinic activation of a branched metabotropic pathway can enhance integration of fast EPSPs by modulating their effective strength. The results also support the hypothesis that muscarinic synapses permit faster and more accurate feedback control of autonomic behaviors by generating gain through synaptic amplification in sympathetic ganglia.


2009 ◽  
Vol 101 (2) ◽  
pp. 503-506 ◽  
Author(s):  
Katherine E. Deeg

Homeostatic synaptic plasticity allows neural circuits to function stably despite fluctuations to their inputs. Previous work has shown that excitatory synaptic strength increases globally when neuronal inputs are chronically silenced. A recent paper by Kim and Tsien describes a new type of synapse-specific homeostatic plasticity in which input silencing causes simultaneous strengthening and weakening of different populations of excitatory synapses within a hippocampal network. These seemingly antagonistic homeostatic adaptations maintain synaptic gain and preserve overall network stability by limiting harmful reverberatory bursting, which may underlie epileptic seizures.


2017 ◽  
Vol 37 (28) ◽  
pp. 6751-6760 ◽  
Author(s):  
Ryszard Auksztulewicz ◽  
Nicolas Barascud ◽  
Gerald Cooray ◽  
Anna Christina Nobre ◽  
Maria Chait ◽  
...  

NeuroImage ◽  
2015 ◽  
Vol 107 ◽  
pp. 117-126 ◽  
Author(s):  
Margarita Papadopoulou ◽  
Marco Leite ◽  
Pieter van Mierlo ◽  
Kristl Vonck ◽  
Louis Lemieux ◽  
...  

2017 ◽  
Vol 38 (6) ◽  
pp. 3262-3276 ◽  
Author(s):  
Álvaro Díez ◽  
Siri Ranlund ◽  
Dimitris Pinotsis ◽  
Stella Calafato ◽  
Madiha Shaikh ◽  
...  

1995 ◽  
Vol 74 (6) ◽  
pp. 2538-2547 ◽  
Author(s):  
M. Juusola ◽  
M. Weckstrom ◽  
R. O. Uusitalo ◽  
M. J. Korenberg ◽  
A. S. French

1. Randomly modulated light stimuli were used to characterize the nonlinear dynamic properties of the synapse between photoreceptors and large monopolar neurons (LMC) in the fly retina. Membrane potential fluctuations produced by constant variance contrast stimuli were recorded at eight different levels of background light intensity. 2. Representation of the photoreceptor-LMC input-output data in the form of traditional characteristic curves indicated that synaptic gain was reduced by light adaptation. However, this representation did not include the time-dependent properties of the synaptic function, which are known to be nonlinear. Therefore nonlinear systems analysis was used to characterize the synapse. 3. The responses of photoreceptors and LMCs to random light fluctuations were characterized by second-order Volterra series, with kernel estimation by the parallel cascade method. Photoreceptor responses were approximately linear, but LMC responses were clearly nonlinear. 4. Synaptic input-output relationships were measured by passing the light stimuli to LMCs through the measured photoreceptor characteristics to obtain an estimate of the synaptic input. The resulting nonlinear synaptic functions were well characterized by second-order Volterra series. They could not be modeled by a linear-nonlinear-linear cascade but were better approximated by a nonlinear-linear-nonlinear cascade. 5. These results support two possible structural models of the synapse, the first having two parallel paths for signal flow between the photoreceptor and LMC, and the second having two distinct nonlinear operations, occurring before and after chemical transmission. 6. The two models were cach used to calculate the synaptic gain to a brief change in photoreceptor membrane potential. Both models predicted that synaptic gain is reduced by light adaptation.


2014 ◽  
Vol 34 (21) ◽  
pp. 7047-7058 ◽  
Author(s):  
M. N. Di Guilmi ◽  
T. Wang ◽  
C. G. Inchauspe ◽  
I. D. Forsythe ◽  
M. D. Ferrari ◽  
...  

Author(s):  
Rick A. Adams ◽  
Dimitris Pinotsis ◽  
Konstantinos Tsirlis ◽  
Leonhardt Unruh ◽  
Aashna Mahajan ◽  
...  

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