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Changes in neural network homeostasis trigger neuropsychiatric symptoms
Aline Winkelmann, … , Uwe Heinemann, Jochen C. Meier
Aline Winkelmann, … , Uwe Heinemann, Jochen C. Meier
Published January 16, 2014
Citation Information: J Clin Invest. 2014;124(2):696-711. https://doi.org/10.1172/JCI71472.
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Research Article Neuroscience

Changes in neural network homeostasis trigger neuropsychiatric symptoms

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Abstract

The mechanisms that regulate the strength of synaptic transmission and intrinsic neuronal excitability are well characterized; however, the mechanisms that promote disease-causing neural network dysfunction are poorly defined. We generated mice with targeted neuron type–specific expression of a gain-of-function variant of the neurotransmitter receptor for glycine (GlyR) that is found in hippocampectomies from patients with temporal lobe epilepsy. In this mouse model, targeted expression of gain-of-function GlyR in terminals of glutamatergic cells or in parvalbumin-positive interneurons persistently altered neural network excitability. The increased network excitability associated with gain-of-function GlyR expression in glutamatergic neurons resulted in recurrent epileptiform discharge, which provoked cognitive dysfunction and memory deficits without affecting bidirectional synaptic plasticity. In contrast, decreased network excitability due to gain-of-function GlyR expression in parvalbumin-positive interneurons resulted in an anxiety phenotype, but did not affect cognitive performance or discriminative associative memory. Our animal model unveils neuron type–specific effects on cognition, formation of discriminative associative memory, and emotional behavior in vivo. Furthermore, our data identify a presynaptic disease–causing molecular mechanism that impairs homeostatic regulation of neural network excitability and triggers neuropsychiatric symptoms.

Authors

Aline Winkelmann, Nicola Maggio, Joanna Eller, Gürsel Caliskan, Marcus Semtner, Ute Häussler, René Jüttner, Tamar Dugladze, Birthe Smolinsky, Sarah Kowalczyk, Ewa Chronowska, Günter Schwarz, Fritz G. Rathjen, Gideon Rechavi, Carola A. Haas, Akos Kulik, Tengis Gloveli, Uwe Heinemann, Jochen C. Meier

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Figure 10

Recurrent epileptiform discharge disrupts gamma frequency network oscillation.

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Recurrent epileptiform discharge disrupts gamma frequency network oscill...
(A and B) Sample traces illustrating that the control Hprtα3L185L+/0 and Hprtα3L185L+/0;PvalbCre+/– animals displayed stable and regular gamma network oscillation. (C) Representative trace showing recurrent epileptiform discharge in Hprtα3L185L+/0;Camk2aCre +/– animals. Arrows indicate the characteristic depression of network activity following pathological network activity. Also note that high-frequency ripple oscillatory activity preceded hypersynchronous neuronal discharge (band-pass filtered, 120-300 Hz, see Supplemental Figure 14). (D) Each peak during gamma network oscillation represents the activity of sensory context–dependent neuronal assemblies (black triangles). (E) Schematic illustrating the conflict of interest of neurons (red triangles) due to their participation in hypersynchronous network activity.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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