DOI: 10.5061/dryad.k0p2ngfmt
title: Data and code from: Cholecystokinin modulates age-dependent thalamocortical neuroplasticity

description: 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.
description: # Dataset README &gt; Dataset DOI:
 [10.5061/dryad.k0p2ngfmt](https://doi.org/10.5061/dryad.k0p2ngfmt)\ &gt;
 Title: **Cholecystokinin gates age-dependent auditory thalamocortical
 plasticity**\ &gt; Date: **2025-10-02**\ &gt; 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 &gt; ±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` (via `delta F caclulation.m` and
 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` (via
 `TDT_reading_ver_3_01.m`/`for_np.m` and 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 1. Extract `2025.7z` and
 `matlab_script_for_data_analyze.zip`. 2. Open
 `TDT_reading_ver_3_01.m`/`for_np.m`/`delta F caclulation.m` and configure
 data paths at the top of the script. 3. Prepare input/output paths
 following the examples in the script header. 4. Run the script to generate
 LTP metrics and summary statistics. --- ## Contact * Questions: contact
 the corresponding author