Mesolimbic dopamine neurons drive infradian rhythms in sleep-wake and heightened activity state
Data files
Dec 16, 2024 version files 5.85 MB
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pirdata.zip
5.85 MB
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README.md
1.04 KB
Abstract
Infradian mood and sleep-wake rhythms with periods of 48 hr and beyond have been observed in bipolar disorder (BD) subjects that even persist in the absence of exogenous timing cues, indicating an endogenous origin. Here we show that mice exposed to methamphetamine (Meth) in drinking water develop infradian locomotor rhythms with periods of 48 hr and beyond which extend to sleep length and manic state-associated behaviors in support of a model for cycling in BD. The cycling capacity is abrogated upon genetic disruption of dopamine (DA) production in DA neurons of the ventral tegmental area (VTA) or ablation of nucleus accumbens (NAc) projecting DA neurons. Furthermore, chemogenetic activation of VTADA neurons including those that project to the NAc led to locomotor period lengthening in circadian clock-deficient mice, which was counteracted by antipsychotic treatment. Together, our findings argue that BD cycling relies on infradian rhythm generation that depends on mesolimbic DA.
README: Mesolimbic dopamine neurons drive infradian rhythms in sleep-wake and heightened activity state
https://doi.org/10.5061/dryad.k6djh9wh8
Description of the data and file structure
Files
pirdata.zip : zip archive containing the data (8 files) collected by PIR sensors used to create actogram displays of locomotor activity. Each file (binary stream of integers for time and floats for activity) contains PIR data from an individual mouse. To produce the actogram displays, read the files into MATLAB using the scripts provided according to the instructions below.
Code
MATLAB functions to read PIR data and make an actogram:
- pirextract.m contains function pirextract() to create a timetable from PIR data
- actogram_table_patch.m contains function actogram_table_patch() that creates an actogram from any locomotion data in a timetable format
example:
filepath = "path/to/PIR_data"
data = pirextract(filepath, -5) %-5 for EST
actogram_table_patch(data, "Status")
Methods
Unprocessed locomotor activity data recorded from passive infrared sensors. MATLAB scripts to decode this data into a timetable and plot an actogram from this timetable.