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Coordinates activities of retrosplenial ensembles during resting-state encode spatial landmarks. Part 1 of 2

Cite this dataset

Chang, HaoRan et al. (2020). Coordinates activities of retrosplenial ensembles during resting-state encode spatial landmarks. Part 1 of 2 [Dataset]. Dryad.


The brain likely uses off-line periods to consolidate recent memories. One hypothesis holds that the hippocampal output provides a unique, global linking or 'index' code for each memory, and that this code is stored in the cortex in association with locally encoded attributes of each memory. Activation of the index code is hypothesized to evoke coordinated memory trace reactivation thus facilitating consolidation. Retrosplenial cortex (RSC) is a major recipient of hippocampal outflow and we have described populations of neurons there with sparse and orthogonal coding characteristics that resemble hippocampal 'place' cells, and whose expression depends on an intact hippocampus. Using two-photon Ca2+ imaging, we recorded ensembles of neurons in the RSC during periods of immobility before and after active running on a familiar linear treadmill track. Synchronous bursting of distinct groups of neurons occurred during rest both prior to and after running. In the second rest epoch, these patterns were associated with the locations of tactile landmarks and reward. Complementing established views on the functions of the RSC, our findings indicate that the structure is involved with processing landmark information during rest.


This dataset includes imaging data collected from three Thy1-GCaMP6s transgenic mice in the Retrosplenial Cortex (RSC). Imaging data were acquired using a Thorlabs Bergamo II multiphoton microscope. Tissue was excited by a Ti:Sapphire laser (Coherent) tuned to an excitatory wavelength of 920 nm. Beam focusing and light collection were achieved by a 16X water immersion objective (Nikon, NA 0.8, 80-120 mW output power measured at the sample). Beam-scanning was conducted by Galvo-Resonant mirrors. Emitted fluorescent lights were detected by a GaAsP photomultiplier tube (Hamamatsu) and digitized to a resolution of 800x800 pixels at a sampling rate of 19 Hz. We collected an 835x835 um window over layers II-III of the agranular RSC at depths between 100 and 200 um (imaging windows centred at -1.8 to -2.5 mm AP, 0.5 mm ML).

Usage notes

Dataset divided into two DOIs due to large file size. See Related Resources for a link to the additional part.

The original size of the files was 560 GB. The files were archived using tar and compressed using pigz.

The folder structure is as follows: 1. animal ID, 2. date of recording, 3. session number. In folder 2 resides abf files generated from Clampex for individual recordings. Channel 1 contains frame pulses corresponding to the start and the end of rasterization of each individual recorded frame. Channels 2 and 3 correspond to outputs A and B respectively of the optical rotary encoder used in detecting the position of the animal over the treadmill belt. Finally, channel 5 contains the readout for the delivery of reward, which also serves to signal the start of a new lap. In folder 3 are raw imaging files along with xml files, which hold the experimental parameters, generated by the ThorImage software.

Part 1 of 2 files

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2dec4e464a9d7913adad91ddfdc6683a  RSC036-2017_08_11-2.tar.gz
7f17c720a65852c5949ce7895e65baad  RSC036-2017_08_11-3.tar.gz
5de257096d796d9c966bb5c3bf5c0fa5  RSC036-2017_08_21-1.tar.gz
386af8830b4981cd71cabcbf0c0cd463  RSC036-2017_08_21-2.tar.gz
6622a9d063a1d7787662d60493437311  RSC036-2017_08_21-3.tar.gz
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d25c75192e36d3f5629bf07c3be89b71  RSC036-2017_08_30-2.tar.gz
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129d294f020e19aa37148e15fa5f912f  RSC037-2017_08_11-2.tar.gz
528e5da1ab9db0b23ddd432d8766ad75  RSC037-2017_08_11-3.tar.gz
80819667fe07d71766ff54f8cc66001e  RSC037-2017_08_21-1.tar.gz
ae6068d3998ee91044e2baa5e141aeae  RSC037-2017_08_21-2.tar.gz
b6e2f47356fae82ccb1592b53c9a320a  RSC037-2017_08_21-3.tar.gz


Natural Sciences and Engineering Research Council, Award: 1631465

Defense Advanced Research Projects Agency, Award: PJT 156040

Defense Advanced Research Projects Agency, Award: HR0011-18-2-0021