Repository logo
 

Research Data supporting "Neurogenetic phenotypes of learning-dependent plasticity for improved perceptual decisions"


Change log

Description

This repository contains two datasets from perceptual learning studies using the Glass Pattern task: a multi-session training study and a tDCS intervention study. MRI data were collected using resting-state fMRI and quantitative multi-parameter mapping techniques. Genetic analyses were performed using gene expression data from the Allen Human Brain Atlas (AHBA). The repository includes the toolboxes used to generate the data, along with the source data corresponding to each figure in the manuscript.

repo27032025.csv Figure1 sheet: Corresponds to Figure 1 in the manuscript, detailing the toolboxes employed in the methods. A. Gene expression data were downloaded and analyzed using the Abagen toolbox,https://abagen.readthedocs.io/en/stable/. B. Functional and microstructural gradient preprocessing was performed using the micapipe toolbox, https://micapipe.readthedocs.io/en/latest/index.html. D. E.Gene expression enrichment analysis was conducted using the DAVID website (https://davidbioinformatics.nih.gov/). For specific toolbox configurations, please refer to the Methods section of the manuscript.

Figure2 sheet: Contains behavioral performance data from the multi-session training experiment. Each row represents a participant, and each column corresponds to a different training session (Day 1, 5, 6, 7, 8, and 9). Scan_1: Baseline MRI, Scan_2: Pre-training MRI, Scan_3: Post-training MRI.

Figure3 sheet:Contains MRI data from the multi-session training experiment. The top table presents functional connectivity dispersion within networks (EV – visual, FPN – frontoparietal) and between networks (EV-FPN). The bottom table presents microstructural dispersion data. Behavioral performance is reported as the percentage improvement in accuracy following training.

Figure4 sheet: Contains data from the tDCS experiment. The top table shows behavioral accuracy for each group (Anodal, Sham) before and after the tDCS intervention. The bottom table shows functional connectivity dispersion (within-network EV and FPN; between-network EV-FPN) for the Anodal group, normalized against the Sham group, before and after the intervention.

Version

Software / Usage instructions

matlab

Publisher

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/P021255/1)
Wellcome Trust (205067/Z/16/Z)
Wellcome Trust (223131/Z/21/Z)