Overview
The Human Connectome Project – Young Adult (HCP-YA) dataset aims to map the structural and functional connectivity of the human brain in healthy young adults using high-resolution neuroimaging and behavioral assessments.
Official Website: humanconnectome.org/study/hcp-young-adult
Data Available in Mind Data Hub
Below, we summarize the modalities and number of subjects processed and available for request in Mind Data Hub:
Structural MRI (T1-weighted & T2-weighted)
Preprocessing Steps:
- Conversion to NIfTI format (If needed)
- Brain Extraction
- Registration to MNI Space using ANTs (Rigid + Affine transformations)
- Quality Control (QC)
Data Available:
- T1-weighted scans: 1,113 MPR1 records 670 MPR2 records from 1113 unique subjects
- T2-weighted scans: 1,113 SPC1 records 484 SPC2 records from 1113 unique subjects
What are SPC1, 2, and MPR1, 2?
The HCP-YA dataset includes two T1-weighted scans (MPR1 and MPR2) and two T2-weighted scans (SPC1 and SPC2) per subject. These duplicates improve signal-to-noise ratio and ensure high-quality structural imaging. More information
Metadata:
Comprehensive demographic.
Metadata Source Files:
- 1,206 total records - Demographics: age, sex/gender
- Key Innovation: Age provided in age ranges (22-25, 26-30, 31-35, 36+)
- Subject IDs are in integer format (100206, 100307, etc.)
We have accumulated for getting advance metadata, and we will update it once we received it.
Processed data are organized in a CSV file with the following columns:
| Column Name | Description |
|---|---|
subjectId |
Subject identifier (6-digit integer format, e.g., 100206) |
sessionName |
Session identifier in the format subjectId_modality (e.g., 100206_MPR1) |
MNI_Warped |
Path to the MNI-space warped brain image |
MNI_ZSCORE |
Path to the Z-score normalized brain image |
MNI_Z_Cropped |
Path to the cropped Z-score normalized brain image |
age |
Age range category (22–25, 26–30, 31–35, 36+) |
sex |
Encoded biological sex (1 = Male, 2 = Female, 0 = Unknown) |
Encoding Dictionaries:
- Sex: 1 = Male, 2 = Female, 0 = Unknown
- Sex Encoding: 1=Male, 2=Female, 0=Unknown
- Age Coverage: 1,113/1,113 records (100%)
- Sex Coverage: 1,113/1,113 records (100%)
- 26-30 years: 486 subjects (43.7%)
- 31-35 years: 383 subjects (34.4%)
- 22-25 years: 231 subjects (20.8%)
- 36+ years: 13 subjects (1.2%)
- Female: 606 subjects (54.4%)
- Male: 507 subjects (45.6%)
Download Data Date: May 2025
Functional MRI (Resting-state fMRI)
Preprocessing Steps (fMRIPrep):
- Conversion to NIfTI (BIDS format)
- Slice-timing and motion correction
- Brain extraction and normalization to MNI
- Denoising and smoothing
- Quality Control (QC) and time-series extraction
Data Available:
- fMRI scans processed using fMRIPrep: 1056 Subjects.
- Comprehensive QC files.
Dedicated scripts are available for both BIDS conversion and parcellation:
- An automated script converts raw imaging data to the standardized BIDS format. Access BIDS conversion script (GitHub)
- A separate script is provided for parcellation calculations. Access parcellation script (GitHub)
Download Data Date: March 2025.
Diffusion Tensor Imaging (DTI)
Preprocessing Steps:
- Convert DICOM to NIfTI
- Topup Correction (Using a top-up tool from FSL)
- Eddy Correction (Using eddy tool from FSL)
- Brain Extraction (Using Bet tool from FSL)
- Merging of Acquisitions (If the session is split into multiple scans)
- DTI Model Fitting(Using the Dtifit tool from FSL)
- Registration to MNI Space using ANTs (Rigid + Affine transformations)
- QC
Download Data Date: March 2025
Request Access to HCP Young Adult Data
To request access to HCP Young Adult data, please fill out our internal request form. Requests will be reviewed by our data management team.
Citation and Acknowledgment
When using HCP Young Adult data, please cite the official HCP Young Adult project and acknowledge the Mind Data Hub preprocessing pipeline:
“Data used in the preparation of this article were obtained from the Human Connectome Project – Young Adult (HCP YA) database (humanconnectome.org). The preprocessing and harmonization of data were performed by Mind Data Hub at Stanford University.”
Useful Links