Repository of databases on human brain connectomics: structural connectivity (DTI, tractography) and functional connectivity (fMRI), including brain network maps and inter-individual variability.
Author: Juan Moisés Serna Tuya | ORCID: 0000-0002-8401-8018
Open the exploratory analysis notebook — no installation needed:
- 🚀 Binder: Click the Binder badge above for an interactive session
- ☁️ Google Colab: Click the Colab badge above to run in Google's cloud
- Structural connectivity matrices (DTI tractography)
- Functional connectivity time-series (resting-state fMRI)
- Graph-theoretic network metrics per subject
- Parcellation schemes: AAL, Schaefer, Destrieux
- Quality control reports and preprocessing pipelines
If you use this dataset or database in your research, please cite:
APA: Serna Tuya, J. M. (2025). Repository of databases on human brain connectomics: Structural connectivity (DTI, tractography) and functional connectivity (fMRI). Zenodo. https://doi.org/10.5281/zenodo.15229868
Chicago: Serna Tuya, Juan Moisés. "Repository of Databases on Human Brain Connectomics: Structural Connectivity (DTI, Tractography) and Functional Connectivity (fMRI)." Zenodo, 2025. https://doi.org/10.5281/zenodo.15229868.
BibTeX:
@dataset{sernatuya_2025_connectomics,
author = {Serna Tuya, Juan Moisés},
title = {Repository of databases on human brain connectomics: Structural and functional connectivity},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.15229868},
url = {https://doi.org/10.5281/zenodo.15229868}
}If you use this repository in your research, please cite:
de la Serna, J. M. (2026). Human Brain Connectomics Structural And Functional Connectivity Database. Universidad Internacional de La Rioja (UNIR). https://github.com/juanmoisesd/human-brain-connectomics-structural-and-functional-connectivity-database 10.5281/zenodo.15229868
See CITATION.cff for formatted references.
This repository contains data and resources related to human brain connectomics structural and functional connectivity database. It is part of an open science initiative to share research findings and datasets with the global scientific community.
The project addresses key questions in the field of neuroscience and social sciences, focusing on providing accessible data for further analysis and validation.
data/: Contains the datasets used in this research.src/: Source code for data processing and analysis.results/: Output files, figures, and metrics.
To use the resources in this repository, clone the project and ensure you have the necessary dependencies installed. Refer to the specific documentation in each folder for more details.
This project is licensed under the MIT License - see the LICENSE file for details.