DOI: 10.5061/dryad.dbrv15f85
title: Supporting electrophysiological data for: Reward contingency gates selective cholinergic suppression of amygdala neurons

description: Basal forebrain cholinergic neurons modulate how organisms process and
 respond to environmental stimuli through impacts on arousal, attention,
 and memory. It is unknown, however, whether basal forebrain cholinergic
 neurons are directly involved in conditioned behavior, independent of
 secondary roles in the processing of external stimuli. Using fluorescent
 imaging, we found that cholinergic neurons are active during behavioral
 responding for a reward – even in prior to reward delivery and in the
 absence of discrete stimuli. Photostimulation of basal forebrain
 cholinergic neurons, or their terminals in the basolateral amygdala (BLA),
 selectively promoted conditioned responding (licking), but not
 unconditioned behavior nor innate motor outputs. In vivo
 electrophysiological recordings during cholinergic photostimulation
 revealed reward-contingency-dependent suppression of BLA neural activity,
 but not prefrontal cortex (PFC). Finally, ex vivo experiments demonstrated
 that photostimulation of cholinergic terminals suppressed BLA projection
 neuron activity via monosynaptic muscarinic-receptor-signaling, while also
 facilitating firing in GABAergic interneurons. Taken together, we show
 that the neural and behavioral effects of basal forebrain cholinergic
 activation are modulated by reward contingency in a target-specific
 manner.
description: Please see methods section in the methods section of this
 paper: Kimchi Eyal Y., Burgos-Robles Anthony, Matthews
 Gillian A., Chakoma Tatenda, Patarino Makenzie, Weddington Javier,
 Siciliano Cody A., Yang Wannan, Foutch Shaun, Simons Renee, Fong Ming-fai,
 Jing Miao, Li Yulong, Polley Daniel B., Tye Kay M. (2023) Reward
 contingency gates selective cholinergic suppression of amygdala neurons
 eLife 12:RP89093
 https://doi.org/10.7554/eLife.89093.1
description: # Ephys data for "Reward contingency gates selective cholinergic
 suppression of amygdala neurons"
 [https://doi.org/10.5061/dryad.dbrv15f85](https://doi.org/10.5061/dryad.dbrv15f85) This dataset contains individual .NWB files containing all raw in vivo electrophysiological data for this project and one MATLAB (.MAT) file.  Neurodata Without Borders (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, and tracking and stimulus data. Neurodata Without Borders is intended to serve the broad neuroscience community and encourage the sharing of data by scientists worldwide. NWB 2.0 ([https://www.nwb.org/2019/02/26/nwbn-2-0-final-released/](https://www.nwb.org/2019/02/26/nwbn-2-0-final-released/) ) was released in February 2019. To learn more about the approach taken to develop the NWB Format, please read the open access Neuron NeuroView article ([http://dx.doi.org/10.1016/j.neuron.2015.10.025](http://dx.doi.org/10.1016/j.neuron.2015.10.025)) and bioRxiv preprint ([https://www.biorxiv.org/content/10.1101/523035v1](https://www.biorxiv.org/content/10.1101/523035v1)). NWB files are effectively H5 files and can be read through any system that can open an H5 file.  There is also a free software package for reading and working with NWB files, available in python and MATLAB versions.  Please see [https://nwb-overview.readthedocs.io/en/latest/](https://nwb-overview.readthedocs.io/en/latest/) for more information on how to install these packages.  The NWB files in this data set were written with version 2.0. The NWB files contain the sorted single unit electrophysiological data, where the 'CUT_CLEAN' tag indicates that they have been sorted manually by Dr. Burgos-Robles, and that artifactual units were also removed. Each NWB file contains the data from a single session. NWB files use MouseID and Date in the filename. Initially, an additional naming convention was applied to the file tags that is now irrelevant and users may ignore this. MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.  While this software package is proprietary, there is a free alternative called Octave. Although there are a number of a differences between the two platforms, usually one can load a .MAT file into the Octave environment to view the data.  For more information, please see “Octave Programming Tutorial/Saving and loading a MAT-file” ([https://en.wikibooks.org/wiki/Octave_Programming_Tutorial/Saving_and_loading_a_MAT-file).](https://en.wikibooks.org/wiki/Octave_Programming_Tutorial/Saving_and_loading_a_MAT-file\).) MATLAB file: This file contains all preprocessed in vivo electrophysiological data for this project, in MATLAB v7.3 format. The MATLAB files contains the following variables: **tbl_id** 16x23117 table Table with 2 columns: mouse IDs and corresponding virus (ChR2 vs control eYFP) **tbl_sub** 16x31917 table Table with the same number of rows as tbl_id, with 3 additional columns representing the date on which recordings were performed for each of 3 experimental settings:   OptoNoReward_BF: Photostimulation delivered to Basal Forebrain for sessions in which it  was NOT paired with the opportunity to collect reward OptoReward_BF: Photostimulation delivered to Basal Forebrain for sessions in which it was paired with the opportunity to collect reward   CsAndOrOpto_Sync_BF: Photostimulation delivered to Basal Forebrain for sessions in trials   consisted of Tone Cs, Photostimulation, or the combination of both, not analyzed for this paper. **data** 16x38198945961 struct A Matlab structure with several fields, organized by mouse and session in the same 16x3 format as tbl_sub   xcorr: Cross correlations for all simultaneously collected cells   cellperi: A cell array with the peri-event activity for each cell for each event   pethset: Settings used to calculate the peri-event time histograms for all events, including the                     names of each event   mask_singleunit: A logical true/false mask to indicate single units   name_area: A character for each unit to indicate which array from which it was recorded:               'B'=BLA, 'P'=PFC   ch: Channel number for each unit from which it was recorded   fr: Firing rate (in Hz) for each unit   filename: Filename from which data was extracted for each session   Subj: Subject/Mouse ID number for each session   Virus: Virus for this mouse/subject   trial_data: Trial data for the recording session   beh_data: Behavioral timestamps for the recording session   sig_name: Plexon generated name for each unit/signal   xc_bin_centers1x99792double   Cross correlation bin center timepoints in seconds