Index of Datasets: Dynamic representation of appetitive and aversive stimuli in nucleus accumbens shell D1- and D2-medium spiny neurons
Authors/Creators
Description
Dataset Title: Dynamic representation of appetitive and aversive stimuli in nucleus accumbens shell D1- and D2-medium spiny neurons
Authors: Ana Verónica Domingues, Tawan T. A. Carvalho, Gabriela J. Martins, Raquel Correia, Bárbara Coimbra, Ricardo Gonçalves, Marcelina Wezik, Rita Gaspar, Luísa Pinto, Nuno Sousa, Rui M. Costa, Carina Soares-Cunha & Ana João Rodrigues.
LAB: Reward & Aversion Lab (https://reward-aversion.org/)
Address: Life and Health Sciences Research Institute (ICVS), Campus de Gualtar, 4710-057 Braga, Portugal.
Summary: This dataset contains single cell calcium imaging recordings of D1- and D2-MSNs in the nucleus accumbens shell of freely-moving mice during an appetitive and aversive Pavlovian conditioning protocol. The data was collected using one-photon microscopy and processed with CaImAn and IDPS software. The data can be used to study the differential response of D1- and D2-MSNs to conditioned stimulus (e.g. predictive cues) and unconditioned stimuli (e.g. sucrose, condensed milk, tail lift and foot-shock).
Keywords: single cell calcium imaging, pavlovian conditioning, D1-MSNs, D2-MSNs, nucleus accumbens, mice, appetitive and aversive conditioning.
Dataset Components:
1. Appetitive conditioning - Days 1 to 3
DOI: 10.5281/zenodo.10688739
2. Appetitive conditioning - Days 4 to 6
DOI: 10.5281/zenodo.10694889
3. Appetitive conditioning - Days 7 and 10
DOI: 10.5281/zenodo.10779637
4. Fear conditioning - Days 1 to 3
DOI: 10.5281/zenodo.11547656
5. US exposures
DOI: 10.5281/zenodo.11644255
6. Omission
DOI: 10.5281/zenodo.12676161
7. Extinction
DOI: 10.5281/zenodo.12826917
Each component can be accessed using the provided DOI. For more information on each dataset, please visit the respective Zenodo repository page.
For questions or further information, please contact us: carinacunha@med.uminho.pt, ajrodrigues@med.uminho.pt
Files
index_all_datasets.txt
Additional details
Software
- Repository URL
- https://github.com/rewave-lab/2024-nature-commu-NAc-MSN-Appetitive-Aversive-Dynamics
- Programming language
- Python
- Development Status
- Active