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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3520032/
Algorithm for computational imaging of MRI data that detects and quantifies ischemic core–penumbra using only a single MRI modality (T2- or diffusion-weighted imaging, T2WI/DWI). It can be used with 3D data on lesions and normal-appearing brain matter (NABM) volumes.
Proper citation: Hierarchical Region Splitting (RRID:SCR_016398) Copy
https://sourceforge.net/projects/bva-io/
Software package for interfacing the Brain Vision Analyser data files (load/save) for ongoing development of Matlab routines . This package is also compatible with the EEGLAB software, and may be uncompressed in the plugin folder of this software.
Proper citation: BVA import/export EEGLAB plugin (RRID:SCR_016333) Copy
http://fcon_1000.projects.nitrc.org/indi/retro/BeijingEOEC.html
Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed.
Proper citation: Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) Copy
http://neurobureau.projects.nitrc.org/ADHD200/Introduction.html
Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau
Proper citation: ADHD-200 Preprocessed Data (RRID:SCR_000576) Copy
http://www.nmr.mgh.harvard.edu/CFNT/index
Biomedical technology research center that develops and applies innovative neuroimaging technologies and techniques to enable closer examination of the human brain, and thereby contribute to better understanding of the brain in health and disease. They develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. The research and development aims to improve and extend existing methods for non-invasive magnetic resonance image analysis and acquisition, electromagnetic source imaging, optical neuroimaging, and most recently, combined MR-PET neuroimaging. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines. The resource supports service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology.
Proper citation: Center for Functional Neuroimaging Technologies (RRID:SCR_001423) Copy
Mind Hacks: Neuroscience and psychology tricks to find out what's going on inside your brain. Mind Hacks is also a book by Tom Stafford and Matt Webb.
Proper citation: Mind Hacks (RRID:SCR_000170) Copy
https://ilabs.uw.edu/meg-brain-imaging/
Magnetoencephalography facility focusing on children. Equipped with MEGIN TRIUX Neo system with helium recycler, MAGSTIM EEG data acquisition system, Tucker-Davis Technologies RZ6 for stimulus generation, Epson Home Cinema 3200 for video projection, custom video recording system with 4 cameras, Eyelink eyetracker, and Polhemus 3D digitizer.
Proper citation: University of Washington I-LABS MEG Brain Imaging Center Core Facility (RRID:SCR_024836) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT
Software toolbox for analysis of diffusion weighted images.
Proper citation: FMRIB's Diffusion Toolbox (RRID:SCR_024931) Copy
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