Publications by authors named "Nicole M Padro Luna"
Article Synopsis
- Understanding mouse behavior is essential for studying brain functions, but current methods for collecting this data are inadequate and costly.
- REVEALS (Rodent Behavior Multi-Camera Laboratory Acquisition) is a new software tool that allows researchers to easily record and manage rodent behavior using multiple USB3 cameras.
- This open-source framework enhances existing data analysis pipelines and improves the collection of large behavioral datasets, helping scientists identify complex behaviors efficiently.
Article Synopsis
- - Fast-spiking parvalbumin (PV)-positive cells are crucial for regulating activity in pyramidal neurons, and their malfunction is linked to various brain diseases.
- - Researchers created a transgenic model to study the effects of overexpressing a schizophrenia-related gene in PV cells, revealing gender-specific changes in anxiety behavior and impairments in synaptic function in the prefrontal cortex (PFC).
- - A computational model showed that these impairments lead to increased neural activity and communication issues, highlighting that disruptions in fast-spiking neurons are particularly harmful for circuits related to anxiety-like behavior.
Fast-spiking parvalbumin (PV)-positive cells are key players in orchestrating pyramidal neuron activity, and their dysfunction is consistently observed in myriad brain diseases. To understand how immune complement dysregulation - a prevalent locus of brain disease etiology - in PV cells may drive disease pathogenesis, we have developed a transgenic mouse line that permits cell-type specific overexpression of the schizophrenia-associated complement component 4 () gene. We found that overexpression of mouse () in PV cells causes sex-specific behavioral alterations and concomitant deficits in synaptic connectivity and excitability of PV cells of the prefrontal cortex.
View Article and Find Full Text PDFUnderstanding the rich behavioral data generated by mice is essential for deciphering the function of the healthy and diseased brain. However, the current landscape lacks effective, affordable, and accessible methods for acquiring such data, especially when employing multiple cameras simultaneously. We have developed REVEALS (odent Bhaior Multi-camraboratory Acquiition), a graphical user interface (GUI) written in python for acquiring rodent behavioral data via commonly used USB3 cameras.
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