Enantiomers of 4‐aminopentanoic acid act as false GABAergic neurotransmitters and impact mouse behavior

2021 ◽  
Author(s):  
Adam M. Wawro ◽  
Chandresh R. Gajera ◽  
Steven A. Baker ◽  
Robert K. Leśniak ◽  
Kathleen S. Montine ◽  
...  
Keyword(s):  
Mouse Behavior

scholarly journals Repeated Cortico-Striatal Stimulation Generates Persistent OCD-Like Behavior

Science ◽  
2013 ◽  
Vol 340 (6137) ◽  
pp. 1234-1239 ◽  
Author(s):  
Susanne E. Ahmari ◽  
Timothy Spellman ◽  
Neria L. Douglass ◽  
Mazen A. Kheirbek ◽  
H. Blair Simpson ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Orbitofrontal Cortex ◽  
Progressive Increase ◽  
Repetitive Behaviors ◽  
Mouse Behavior ◽  
First Line ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Chronic Fluoxetine

Although cortico-striato-thalamo-cortical (CSTC) circuit dysregulation is correlated with obsessive compulsive disorder (OCD), causation cannot be tested in humans. We used optogenetics in mice to simulate CSTC hyperactivation observed in OCD patients. Whereas acute orbitofrontal cortex (OFC)–ventromedial striatum (VMS) stimulation did not produce repetitive behaviors, repeated hyperactivation over multiple days generated a progressive increase in grooming, a mouse behavior related to OCD. Increased grooming persisted for 2 weeks after stimulation cessation. The grooming increase was temporally coupled with a progressive increase in light-evoked firing of postsynaptic VMS cells. Both increased grooming and evoked firing were reversed by chronic fluoxetine, a first-line OCD treatment. Brief but repeated episodes of abnormal circuit activity may thus set the stage for the development of persistent psychopathology.

Quantitative Genetics and Mouse Behavior

2001 ◽  
Vol 24 (1) ◽  
pp. 845-867 ◽  
Author(s):  
Jeanne M Wehner ◽  
Richard A Radcliffe ◽  
Barbara J Bowers
Keyword(s):  
Quantitative Genetics ◽  
Mouse Behavior

Effect of 5-HT2C receptor antagonist RS 102221 on mouse behavior

2006 ◽  
Vol 142 (1) ◽  
pp. 76-79 ◽  
Author(s):  
E. G. Kuznetsova ◽  
T. G. Amstislavskaya ◽  
E. A. Shefer ◽  
N. K. Popova
Keyword(s):  
Receptor Antagonist ◽  
Mouse Behavior

scholarly journals Myosin Va Brain-Specific Mutation Alters Mouse Behavior and Disrupts Hippocampal Synapses

eNeuro ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. ENEURO.0284-20.2020
Author(s):  
Swarna Pandian ◽  
Jian-Ping Zhao ◽  
Yasunobu Murata ◽  
Fernando J. Bustos ◽  
Cansu Tunca ◽  
...  
Keyword(s):  
Mouse Behavior ◽  
Specific Mutation ◽  
Hippocampal Synapses ◽  
Myosin Va

scholarly journals Spontaneous Mouse Behavior in Presence of Dissonance and Acoustic Roughness

2020 ◽  
Vol 14 ◽  
Author(s):  
Olivier Postal ◽  
Typhaine Dupont ◽  
Warren Bakay ◽  
Noémi Dominique ◽  
Christine Petit ◽  
...  
Keyword(s):  
Mouse Behavior

Effects of subacute exposure to 1,2-dichloroethane on mouse behavior and the related mechanisms

2012 ◽  
Vol 32 (9) ◽  
pp. 983-991 ◽  
Author(s):  
G. Wang ◽  
Y. Qi ◽  
L. Gao ◽  
G. Li ◽  
X. Lv ◽  
...  
Keyword(s):  
Mouse Behavior ◽  
Subacute Exposure

scholarly journals Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System

Proceedings ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 29
Author(s):  
Daniel Garabato ◽  
Jorge Rodríguez García ◽  
Francisco J. Novoa ◽  
Carlos Dafonte
Keyword(s):  
Artificial Intelligence ◽  
Support Vector Machines ◽  
Support Vector ◽  
Second Phase ◽  
Authentication Protocols ◽  
Mouse Behavior ◽  
Authentication Mechanism ◽  
Vector Machines ◽  
Authentication System ◽  
Current Stage

Nowadays, a wide variety of computer systems use authentication protocols based on several factors in order to enhance security. In this work, the viability of a second-phase authentication scheme based on users’ mouse behavior is analyzed by means of classical Artificial Intelligence techniques, such as the Support Vector Machines or Multi-Layer Perceptrons. Such methods were found to perform particularly well, demonstrating the feasibility of mouse behavior analytics as a second-phase authentication mechanism. In addition, in the current stage of the experiments, the classification techniques were found to be very stable for the extracted features.

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