DOI: 10.5061/dryad.gb5mkkx0r
title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness

description: Patients with focal temporal lobe seizures often experience loss of
 consciousness associated with cortical slow waves, like those in deep
 sleep. Previous work in rat models suggests that decreased subcortical
 arousal causes depressed cortical function during focal seizures. However,
 these studies were performed under light anesthesia, making it impossible
 to correlate conscious behavior with physiology. We show in an awake mouse
 model that electrically induced focal seizures in the hippocampus cause
 impaired behavioral responses to auditory stimuli, cortical slow waves,
 and reduced mean cortical high-frequency activity. Behavioral responses
 are related to cortical cholinergic release at two different timescales.
 Slow state-related decreases in acetylcholine correlate with overall
 impaired behavior during seizures. Fast phasic acetylcholine release is
 related to variable spared or impaired behavioral responses with each
 auditory stimulus. These findings establish a strong relationship between
 decreased cortical arousal and impaired consciousness in focal seizures
 which may help guide future treatment.
description: # Slow and fast cortical cholinergic arousal is reduced in a mouse model
 of focal seizures with impaired consciousness --- This dataset contains
 all data used in the production of the above-named publication.
 Specifically, it contains recording sessions of awake mice
 electrophysiological (LFP/MUA), behavioral, and fiberphotometry data used
 for figure production. Details are described in the above-named
 publication. Codes used to analyze these data and produce described
 results are found at
 [https://github.com/BlumenfeldLab/Sieu-et-al_2024](https://github.com/BlumenfeldLab/Sieu-et-al_2024) or [https://doi.org/10.5281/zenodo.13991910](https://doi.org/10.5281/zenodo.13991910) ## Description of the Data and File Structure There are two types of files: '.mat' and '.csv' files. ### '.mat' files corresponding to relevant Spike2 channels exported to MATLAB files. Channels description: '_contra*' = Contralateral Hippocampus LFP signal (unit: microvolt) '_control_time = marker for the start of control stimulation, after electrical stimulation (time: seconds) '_DigMark' = sound event (time: seconds) '_ipsi*' = Ipsilateral Hippocampus LFP signal (electrical stimulation) (unit: microvolt) '_LED1_405' = Current signal from LED 1 (fiberphotometry) '_LED2_465' = Current signal from LED 2 (fiberphotometry) '_lick_on' = Detected licks event (time: seconds) '_LO_AP_nw*' = Detected spikes from orbitofrontal cortex MUA signal (time: seconds) '_LO_LFP' = Orbitofrontal cortex LFP signal (unit: microvolt) '_MUA_LLO' / '_LO_MUA' = Orbitofrontal cortex MUA signal (unit: microvolt) '_Pulse' = signal from the fiberphotometry system TTL pulse (unit: volt) '_seizure_2_end' = marker for end of seizure from contralateral Hippocampus defined by the end of epileptiform activity (time: seconds) '_seizure_3_end' = marker for the end of seizure from ipsilateral Hippocampus defined by the end of induced-DC shift (time: seconds) '_seizure_4_end' = marker for the end of seizure from contralateral Hippocampus defined by the end of induced-DC shift (time: seconds) '_seizure_end' = marker for the end of seizure defined by the end of epileptiform activity in both ipsi and contra Hippocampus (time: seconds) '_seizure_time' = marker for the start of seizure, after electrical stimulation (time: seconds) '_VRMS0.01s_MUA*' = Orbitofrontal cortex MUA VRMS with consecutive overlapping 0.01 s time bins (not used) (unit: microvolt) '_VRMS1s_MUA*' = Orbitofrontal cortex MUA VRMS with consecutive overlapping 1 s time bins (unit: microvolt) '_wheel' = wheel signal (unit: microvolt) '_ipsi*_LFPsm0.05s' / '_contra*_LFPsm0.05s' = filtered LFP signal from ipsilateral Hippocampus (unit: microvolt) '_LO_LFPsm0.05s' = filtered LFP signal from orbitofrontal cortex (unit: microvolt) '_vrms0.05sLO_MUA*' = Orbitofrontal cortex MUA VRMS with consecutive overlapping 0.05 s time bins (unit: microvolt) ### '.csv' files corresponding to fiberphotometry and possibly electrophysiological signals recorded for each recording session. Channels Description: 'AnalogInCh1/Analog In. | Ch.1' = Isobestic fluorescence (reference signal, LED1 405) 'AnalogInCh2/Analog In. | Ch.1' = GACh sensor fluorescence (LED2 465) 'AnalogInCh3/Analog In. | Ch.1' = RAW signal from LED 1&2 'AnalogInCh4/Analog In. | Ch.2' = Orbitofrontal cortex LFP signal (unit: millivolt) 'AnalogInCh5/Analog In. | Ch.3' = Contralateral Hippocampus LFP signal (unit: millivolt) 'AnalogInCh6/Analog In. | Ch.4' = Sound presentations (click sound)  (unit: millivolt) 'DigitalIOCh1/Digital I/O | Ch.1' = signal input from spike2 "clock" (not used) 'DigitalIOCh2/Digital I/O | Ch.2' = TTL pulse generated by the fiberphotometry system and corresponds to the 'pulse' signal in Spike2 'AnalogOutCh1/Analog Out. | Ch.1' = LED1 405 being on (1) or off (0) 'AnalogOutCh2/Analog Out. | Ch.2' = LED1 465 being on (1) or off (0) ### Folder content Each folder corresponds to specific data for figure production. 'Figure1-3-4-S3-S6': includes 4 subfolders, 'Allsz' (all recordings seizures), 'Control' (recordings with control stimulation), 'Impairedsz' (impaired seizures recordings), and 'Sparedsz' (spared seizures recordings); each subfolder containing .mat files for electrophysiological and behavioral analysis, and processed by the same Matlab code. 'Figure2': includes 1 subfolder, containing .mat files for MUA analysis. 'Figure5', 'FigureS7', and 'FigureS9': each includes 1 folder, which contains subfolders for each animal. Each animal folder contains .mat files and complementary .csv files for GACh sensor fluorescence analysis. 'TableS1': contains .mat files for electrophysiological analysis.