Preprocessed and derived diffusion MRI connectomics resources from Human Connectome Project (HCP)–aligned disease cohorts.
These datasets provide derived files only (e.g., .fib, .gqi.fz, .qsdr.fz) that are ready for tractography and connectome analyses in DSI Studio and related tools.
NDA note: Per NDA policy, raw MRI data are not redistributed here. After consultation with the NDA program lead, derived data (e.g., FIB/FZ) may be shared publicly.
For other data types, request access directly through NDA. Once you have an approved Data Use Agreement (DUA), contact us and we can provide a link to SRC files where available.
This repository aggregates HCP-style disease cohorts processed into DSI Studio–compatible connectomics derivatives.
Each cohort uses HCP-aligned acquisition and/or processing wherever possible, enabling:
- Cross-cohort comparisons with HCP Lifespan and other normative datasets
- Disease vs. control connectomics using compatible pipelines
- Tractography, connectometry, and network analyses without re-doing low-level diffusion preprocessing
Typical assets include:
.gqi.fz/.qsdr.fztractography-ready volumes- Region-wise connectome matrices and metadata (when available)
- QC tables and basic demographic information (cohort-dependent)
Raw MRI and detailed clinical data remain under NDA, institutional, or project-specific governance.
Release tag: vfl
Title: Changes in Visual Cortical Connectivity Following Central Visual Field Loss
Macular degeneration (MD) cohort processed with HCP-compatible pipelines to study visual cortical plasticity following central visual field loss.
Highlights
- Condition: Age-related macular degeneration (AMD) vs. matched controls
- Focus: Visual cortical reorganization and peripheral visual field compensation
- Assets:
.fib/.fzderivatives and related tables - License: CC BY-SA 4.0
- Please acknowledge ACCESS resources: CIS200026 & MED230052
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/vfl | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/vfl").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Release tag: trd
Title: Perturbation of the Treatment-Resistant Depression (TRD) Connectome by Fast-Acting Therapies
Longitudinal and cross-sectional TRD cohort with ECT, ketamine, and total sleep deprivation interventions, aligned to HCP normative references.
Highlights
- Population: Treatment-Resistant Depression (TRD) + controls
- Interventions: ECT, serial ketamine infusion, total sleep deprivation
- Modalities: Structural MRI, fMRI, dMRI, ASL (pre/post treatments)
- Assets: Derived diffusion/tractography datasets and supporting tables
- License: CC BY-SA 4.0
- Please acknowledge ACCESS CIS200026 & MED230052
- Investigator: Katherine Narr
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/trd | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/trd").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Release tag: ep
Title: Human Connectome Project for Early Psychosis
Early psychosis cohort acquired with HCP Lifespan Prisma protocols at Boston and Indianapolis, extending HCP methodology into severe mental illness.
Highlights
- Population: Early psychosis (affective and non-affective) + healthy controls
- Sites: Boston & Indianapolis; 3T Prisma scanners
- Modalities: Structural, functional, diffusion MRI; behavioral and clinical data
- Assets: Diffusion-derived FIB/FZ and related metadata
- License: CC BY-SA 4.0
- Please acknowledge ACCESS CIS200026 & MED230052
- Investigator: Martha Shenton
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/ep | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/ep").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Release tag: ecp
Title: Epilepsy Connectome Project (ECP)
Temporal Lobe Epilepsy (TLE) vs. healthy controls, combining multimodal imaging and MEG for large-scale epilepsy connectomics.
Highlights
- Population: ~340 adults (200 idiopathic TLE, 140 controls; ages 18–50)
- Modalities: DWI, resting-state and task fMRI, MEG, behavioral and neuropsychological testing
- Goals: Relate seizure burden and network disruption to cognitive and psychosocial outcomes
- Assets:
.gqi.fz,.qsdr.fz, demographic/behavioral tables, data dictionary - License: LGPL-3.0
- Source: https://osf.io/exbt4/
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/ecp | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/ecp").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Release tag: banda
Title: BANDA: Connectomes Related to Anxiety & Depression
Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) project: adolescent cohort targeting RDoC constructs of acute threat/fear and reward/prediction error.
Highlights
- Population: Adolescents 14–16 years with depression and/or anxiety (N≈180) + healthy controls (N≈45)
- Design: Multi-visit protocol with baseline, 6-month online, and 12-month in-person follow-up
- Modalities: HCP-style 3T imaging (T1, T2, dMRI, resting-state and task fMRI), eye-tracking, extensive behavioral and clinical batteries
- Assets: Diffusion derivatives and supporting tables
- License: CC BY-SA 4.0
- Study info: https://humanconnectome.org/study/connectomes-related-anxiety-depression
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/banda | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/banda").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Release tag: am
Title: Dimensional Connectomics of Anxious Misery
RDoC-inspired cohort focusing on Negative Valence System (NVS) constructs, especially Loss and Sustained Threat, in adults with “anxious misery” syndromes.
Highlights
- Population: 200 individuals with anxious misery + 50 healthy controls
- Site: University of Pennsylvania (single 3T Prisma, HCP-aligned protocol)
- Modalities: Structural MRI, dMRI, fMRI, behavioral and neurocognitive batteries, genetic samples
- Follow-up: 1-year longitudinal outcomes
- Assets: HCP-style diffusion derivatives (e.g.,
.gqi.fz,.qsdr.fz) and metadata - License: CC BY-SA 4.0
- Please acknowledge ACCESS CIS200026 & MED230052
curl -s https://api.github.com/repos/data-hcp/disease/releases/tags/am | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/disease/releases/tags/am").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Licensing follows each cohort’s original terms:
-
VFL / TRD / EP / BANDA / AM
- Derived files here are shared under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
- For VFL, TRD, EP, and AM, please acknowledge supercomputing resources ACCESS CIS200026 & MED230052.
-
ECP
- Shared under GNU Lesser General Public License (LGPL-3.0).
- Original project page: https://osf.io/exbt4/
Each dataset directory includes license notes and, when applicable, links back to the original project pages.
When using these datasets:
- Cite the original disease cohort publications (VFL, TRD, EP, ECP, BANDA, AM) and their DOIs.
- Cite HCP, ACCESS, and supercomputing allocations CIS200026, MED230052 where applicable.
- If you use derivatives from this repository, please add:
“Derived diffusion MRI datasets were prepared by the Pittsburgh Fiber Data Hub (
data-hcp/disease).”
Check individual dataset documentation for any additional citation or acknowledgment requirements.
- This repository does not redistribute raw MRI or identifiable clinical data.
- Users must comply with NDA, IRB, and source project data-use agreements.
- Derived connectomics products are provided to accelerate research but should undergo independent quality control, validation, and methodological checks before publication or clinical interpretation.