Dataset
Neural effects of dopaminergic compounds revealed by multi-site electrophysiology in mice and interpretable machine-learning
- 1Institute for Applied Physiology, Ulm University, Germany
- 2Boehringer Ingelheim Pharma GmbH & Co. KG, Div. Research Germany, Biberach an der Riss, Germany
DOI: 10.12751/g-node.w7s6wv BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 14 GiB)
Published 24 Jun. 2024 | License Creative Commons CC0 1.0 Public Domain Dedication
Description
The LFP_RawData folder contains local field potential (LFP) recordings obtained from depth electrodes in the mice brain regions, including the prelimbic cortex (PrL), mediodorsal thalamus (MD), dorsal hippocampal fissure (dCA1), dorsal hippocampal CA3 subfield (dCA3), and ventral hippocampal fissure (vHC). Pharmaco-LFP experiments were conducted approximately every third day in a within-subject design with a latin-square, randomized drug-assignment across the cohort. Applications included: saline (Sal; vehicle 1), 0.1% TWEEN80/saline (T/Sal; vehicle 2), 1 and 3 mg/kg clozapine (CLZ1 and CLZ3; clozapine dihydrochloride, HB6129, HelloBio, GB), 0.5 mg/kg raclopride (Raclo; S(-)raclopride(+)-tartrate, R121 Sigma, DE), 0.1 mg/kg SCH23390 (SCH; SCH23390 hydrochloride, 0925 Tocris, GB), and 2 mg/kg amphetamine (Amph; d-amphetamine sulfate, A-5880, Sigma); vehicle 2 was used for raclopride, all other compounds were applied in saline. Mice were recorded in Type-III open-field cages (Tecniplast, IT) with fresh saw-dust for a 10 min baseline period, after which the compound was applied i.p., followed by a further recording for 50 min.
Keywords
| Neuroscience | Antipsychotics | Neural connectivity | Granger causality | Power spectral density | Electrophysiology | Pharmaco-EEG | Local field potential |References
- Kapanaiah, S. K. T., Rosenbrock, H., Hengerer, B., & Kätzel, D. (2024). Neural effects of dopaminergic compounds revealed by multi-site electrophysiology and interpretable machine-learning. Frontiers in Pharmacology, 15. https://doi.org/ 10.3389/fphar.2024.1412725
- DA-Pharmacology-ephys-analysis-2024. Github. https://github.com/KaetzelLab/DA-Pharmacology-ephys-analysis-2024