This repository is under review for potential modification in compliance with Administration directives.
The NITRC Image Repository allows you to search for and freely download public datasets. It includes millions of dollars worth of DICOM and NIfTI images with normal and diagnoses such as child development disorders, Aspergers, Autism, ADHD, Parkinson’s and Schizophrenia.
We provide extensive functional brain imaging data from natural stimulation, a rich set of auxiliary data, (such as structural brain scans, measurements of physiological, and technical confounds), as well as stimulus annotations. http://studyforrest.org
Featured tool/resource
High-quality diffusion-weighted imaging of Parkinson's disease
This project contains data and analysis pipelines for a set of 53 subjects in a cross-sectional Parkinson's disease (PD) study. The dataset contains diffusion-weighted images (DWI) of 27 PD patients and 26 age, sex, and education-matched control subjects. The DWIs were acquired with 120 unique gradient directions, b=1000 and b=2500 s/mm2, and isotropic 2.4 mm3 voxels. The acquisition used a twice-refocused spin echo sequence in order to avoid distortions induced by eddy currents.
Dallas Lifespan Brain Study - The Dallas Lifespan Brain Study (DLBS) is a major effort designed to understand the antecedents of preservation and decline of cognitive function at different stages of the adult lifespan, with a particular interest in the early stages of a healthy brain’s march towards Alzheimer Disease.
Brain Genomics Superstruct Project - The Brain Genomics Superstruct Project Open Access Data Release exposes a carefully vetted collection of neuroimaging, behavior, cognitive, and personality data for over 1,500 human participants. Each neuroimaging data set includes one high-resolution Magnetic Resonance Imaging (MRI) acquisition and one or more resting-state functional MRI acquisitions.
Note that GSP ages are rounded to the nearest age bin.
Consortium for Reliability and Reproducibility (CoRR) - The goal of CoRR was to create an open science resource for the imaging community that facilitates the assessment of test-retest reliability and reproducibility for functional and structural connectomics. In order to accomplish this, we have aggregated resting state fMRI (R-fMRI) and diffusion imaging data from laboratories around the world, and are sharing the data via the International Neuroimaging Data-sharing Initiative (INDI).
http://fcon_1000.projects.nitrc.org/indi/CoRR/html/index.html
