Data and code from: Cholecystokinin modulates age-dependent thalamocortical neuroplasticity
Data files
Nov 07, 2025 version files 5.58 MB
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2025.7z
5.56 MB
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matlab_script_for_Data_analyze.7z
17.10 KB
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README.md
3.34 KB
Abstract
The thalamocortical pathways exhibit neuroplasticity not only during the critical period but also in adulthood. In this study, we investigated how cholecystokinin (CCK) modulates age-dependent thalamocortical plasticity. Our findings demonstrated that CCK is expressed in thalamocortical neurons and that high-frequency stimulation (HFS) of the thalamocortical pathway triggers the release of CCK in auditory cortex (ACx), as detected by a CCK sensor. HFS of the medial geniculate body (MGB) induced thalamocortical long-term potentiation (LTP) in wild-type young adult mice. However, knockdown of Cck expression in MGB neurons or blockade of the CCK-B receptor (CCKBR) in the ACx abolished HFS-induced LTP. Interestingly, this LTP could not be elicited in juvenile (3-week-old) or aged mice (over 18-month-old) due to distinct mechanisms: the absence of CCKBR in juveniles and the inability to release CCK in aged mice. Notably, exogenous administration of CCK into the ACx rescued LTP in aged mice and significantly improved frequency discrimination. These findings highlight the potential of CCK as a therapeutic intervention for ameliorating neuroplasticity deficits associated with thalamocortical connectivity.
Dataset DOI: 10.5061/dryad.k0p2ngfmt
Title: Cholecystokinin gates age-dependent auditory thalamocortical plasticity
Date: 2025-10-02
Version: Data archive (2025.7z), Code archive (matlab_script_for_data_analyze.zip)
Overview
This repository contains all experimental data and analysis scripts underlying the figures and results, including:
- In vivo electrophysiology (fEPSPs)
- Fluorescence signal traces
- Behavioral data from prepulse inhibition (PPI) acoustic startle tests
- Immunohistochemistry (IHC) quantification
Contents and Structure
1) Data archive: 2025.7z
Includes raw and processed data for all experiments:
- Electrophysiology recordings: baseline and post-manipulation segments
- Fluorescence signal traces with time axis
- PPI acoustic startle behavioral tables
- IHC quantification tables
2) Code archive: matlab_script_for_data_analyze.zip
MATLAB scripts for data processing and LTP analysis of electrophysiology.
- Main entry script:
main_LTP_analyze:- Loads fEPSP datasets, segments baseline/post-manipulation
- Computes LTP metrics
- Exports summary statistics
- Data paths configurable at the top of the script
- Example input/output filenames provided in the script header
Fluorescence signal traces_analyze
- Helper functions are included and documented in-line.
Data Conventions and Naming
Electrophysiology (fEPSPs)
- Each file contains two contiguous segments:
- Baseline: first 16 minutes (“upper” portion)
- Post-manipulation: subsequent 60 minutes (“lower” portion)
- Gaps indicate excluded or missing data.
- Exclusion rule: values > ±3.5 SD relative to the group mean are treated as outliers and excluded.
- Layout:
- Left side: time-series data
- Right side: summary statistics (Mean, SE, SD)
- Processed or utilized by scripts in
matlab_script_for_data_analyze.zip(viadelta F caclulation.mand helpers)
Fluorescence Signal Traces
- Leftmost column: time axis (seconds unless otherwise specified in the file header)
- Subsequent columns: individual fluorescence signals (per trial/subject/ROI)
- Layout:
- Left side: raw traces
- Right side: Mean, SE, SD across trials/subjects/ROIs
- Processed or utilized by scripts in
matlab_script_for_data_analyze.zip(viaTDT_reading_ver_3_01.m/for_np.mand helpers)
Behavioral and Histology
- PPI acoustic startle: tabular data with condition factors and response amplitudes
- IHC quantification: tabular counts/intensity with group annotations
Organization and Naming
- Files are organized and named according to the figure they support to facilitate figure-to-data traceability.
Code/software
matlab_script_for_data_analyze.zip
Requirements and Reproducibility
- MATLAB version: R2022b or later
Reproduction steps
- Extract
2025.7zandmatlab_script_for_data_analyze.zip. - Open
TDT_reading_ver_3_01.m/for_np.m/delta F caclulation.mand configure data paths at the top of the script. - Prepare input/output paths following the examples in the script header.
- Run the script to generate LTP metrics and summary statistics.
Contact
- Questions: contact the corresponding author
