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http://www.brainsimagebank.ac.uk

A searchable collection of anonymised images and associated clinical data. It includes normal individuals at all ages (from prenatal to old age). The image bank contains integrated data sets already collected as part of research studies which include control subjects. New data is added as they become available.

Proper citation: BRAINS Imagebank (RRID:SCR_014576) Copy   

•   Source: SciCrunch Registry

http://coins.mrn.org/

A web-based neuroimaging and neuropsychology software suite that offers versatile, automatable data upload/import/entry options, rapid and secure sharing of data among PIs, querying and export all data, real-time reporting, and HIPAA and IRB compliant study-management tools suitable to large institutions as well as smaller scale neuroscience and neuropsychology researchers. COINS manages over over 400 studies, more than 265,000 clinical neuropsychological assessments, and 26,000 MRI, EEG, and MEG scan sessions collected from 18,000 participants at over ten institutions on topics related to the brain and behavior. As neuroimaging research continues to grow, dynamic neuroinformatics systems are necessary to store, retrieve, mine and share the massive amounts of data. The Collaborative Informatics and Neuroimaging Suite (COINS) has been created to facilitate communication and cultivate a data community. This tool suite offers versatile data upload/import/entry options, rapid and secure sharing of data among PIs, querying of data types and assessments, real-time reporting, and study-management tools suitable to large institutions as well as smaller scale researchers. It manages studies and their data at the Mind Research Network, the Nathan Kline Institute, University of Colorado Boulder, the Olin Neuropsychiatry Research Center (at) Hartford Hospital, and others. COINS is dynamic and evolves as the neuroimaging field grows. COINS consists of the following collaboration-centric tools: * Subject and Study Management: MICIS (Medical Imaging Computer Information System) is a centralized PostgreSQL-based web application that implements best practices for participant enrollment and management. Research site administrators can easily create and manage studies, as well as generate reports useful for reporting to funding agencies. * Scan Data Collection: An automated DICOM receiver collects, archives, and imports imaging data into the file system and COINS, requiring no user intervention. The database also offers scan annotation and behavioral data management, radiology review event reports, and scan time billing. * Assessment Data Collection: Clinical data gathered from interviews, questionnaires, and neuropsychological tests are entered into COINS through the web application called Assessment Manager (ASMT). ASMT's intuitive design allows users to start data collection with little or no training. ASMT offers several options for data collection/entry: dual data entry, for paper assessments, the Participant Portal, an online tool that allows subjects to fill out questionnaires, and Tablet entry, an offline data entry tool. * Data Sharing: De-identified neuroimaging datasets with associated clinical-data, cognitive-data, and associated meta-data are available through the COINS Data Exchange tool. The Data Exchange is an interface that allows investigators to request and share data. It also tracks data requests and keeps an inventory of data that has already been shared between users. Once requests for data have been approved, investigators can download the data directly from COINS.

Proper citation: Mind Research Network - COINS (RRID:SCR_000805) Copy   

•   Source: SciCrunch Registry

http://www.loni.ucla.edu/~thompson/thompson.html

The UCLA laboratory of neuroimaging is working in several areas to enhance knowledge of anatomy, including brain mapping in large human populations, HIV, Schizophrenia, methamphetamine, tumor growth and 4d brain mapping, genetics and detection of abnormalities.

Proper citation: University of California at Los Angeles, School of Medicine: Neuro Imaging Lab of Thompson (RRID:SCR_001924) Copy   

•   Source: SciCrunch Registry

http://sig.biostr.washington.edu/projects/MindSeer/index.html

A cross-platform application for 3D brain visualization for multi-modality neuroimaging data written in Java/Java3D, that runs in both standalone and client-server mode. It supports basic data management capabilities, visualization of 3D surfaces (SPM's output or OFF files), volumes (Analyze, NIFTI or Minc) and label sets. MindSeer has 2 different modes: # Client/Server is designed to allow users to visualize data that is stored centrally and enhance collaboration. # Standalone mode is available to view local data and is built for more performance than Client/Server Both modes have the same interface and support the same features. It has a modular architecture and is designed to be extensible. Requirements: # Java 5.0 or above. # Java Web Start. # Java3D (installed automatically by Web Start).

Proper citation: MindSeer (RRID:SCR_003019) Copy   

•   Source: SciCrunch Registry

http://jefferis.github.io/nat/

Software R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons in the context of 3D brain structures.

Proper citation: NeuroAnatomy Toolbox (RRID:SCR_016716) Copy   

•   Source: SciCrunch Registry

https://github.com/NeurophysVis/SpectraVis

Web based neuroscience application for analyzing task-related functional networks over time and frequency. Interactive visualization tool for exploring functional brain connectivity.

Proper citation: SpectraVis (RRID:SCR_016691) Copy   

•   Source: SciCrunch Registry

https://neurobot.incf.org

Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.

Proper citation: INCF-Neurobot (RRID:SCR_017004) Copy   

•   Source: SciCrunch Registry

https://github.com/PatternRecognition/OpenBMI

Software package for the development of Brain-Computer Interfaces with advanced pattern recognition algorithms. Used for analyzing brain signals which can be used to acquire, filter, process, classify and visualize brain signals in real time.

Proper citation: OpenBMI (RRID:SCR_016876) Copy   

•   Source: SciCrunch Registry

https://prismclinical.com/

Provides Prism softwares and services that integrate advanced imaging into the clinical workflow for brain mapping from acquisition through processing, visualization, and export to PACS. Prism integrates functional MRI, diffusion MRI, perfusion, MR spectroscopy, and PET/CT into a unified workflow for diagnosis and treatment planning in brain disorders. Processing is also available as a cloud deployed service, Prism Serve. Research support includes import/export for imaging and derived quantitative data in both DICOM and research formats such as AFNI and Trackviz.

Proper citation: Prism Clinical Imaging (RRID:SCR_016977) Copy   

•   Source: SciCrunch Registry

https://team.inria.fr/empenn/

Project between Inria, Inserm, CNRS, and University of Rennes for biomedical image analysis for understanding neurological disease. Used to diagnose, monitor and deliver treatment for mental, neurological and substance use disorders by establishing multidisciplinary team between information sciences and medicine in medical imaging, neuroinformatics and population cohorts.

Proper citation: Empenn (RRID:SCR_017074) Copy   

•   Source: SciCrunch Registry

https://github.com/Frederik-D-Weber/cosleep

Software Python tool for sleep EEG analysis. Used for Closed and Open loop in Slow Ocillations, Sleep Stimulation in Auditory or Recording in full PSG using OpenBCI Cyton.

Proper citation: COsleep (RRID:SCR_017053) Copy   

•   Source: SciCrunch Registry

https://www.mbfbioscience.com/neuroinfo

Software for automatic identification and delineation of brain regions within experimental mouse brain sections. NeuroInfo registers serial section images of any orientation to Allen Mouse Brain Atlas, corrects for distortion due to histological processing, delineates anatomies in experimental section, and detects and reports on cell number within selected anatomies.

Proper citation: NeuroInfo (RRID:SCR_017346) Copy   

•   Source: SciCrunch Registry

https://github.com/zuoxinian/CCS

Software tool for multimodal human brain imaging data analysis. Computational pipeline for discovery science of human brain connectomes at macroscale with multimodal magnetic resonance imaging technologies.

Proper citation: Connectome Computation System (RRID:SCR_017342) Copy   

•   Source: SciCrunch Registry

https://github.com/cwatson/braingraph/

Software R package for performing graph theory analyses of brain MRI data.

Proper citation: brainGraph (RRID:SCR_017260) Copy   

•   Source: SciCrunch Registry

https://www.ibis-network.org/index.html

Research study of brain development in infants and children with autism. Consortium of researchers across North America that work together to discover early changes in brain development of young children with autism. Participants will travel to their closest study location to receive developmental and behavioral assessments, MRI scan of the brain. Participants will be reimbursed for travel and related expenses. Families of children at high risk for developing symptoms of autism will receive assistance with referrals for local services. check if data repository is in the papers

Proper citation: IBIS Network (RRID:SCR_017399) Copy   

•   Source: SciCrunch Registry

http://www.brainimagelibrary.org

Public, NIH-funded repository and analysis ecosystem for brain microscopy data, designed to store, share, and process massive volumetric datasets. It enables researchers to access whole-brain images, neuron morphologies, and spatial data without needing to download, fostering collaborative discovery. Used to deposit, analyze, mine, share and interact with large brain image datasets.

Proper citation: Brain Image Library (RRID:SCR_017272) Copy   

•   Source: SciCrunch Registry

https://github.com/Mark-Kramer/Seizure-Waves

Analysis and modeling code for waves of seizure activity.

Proper citation: Seizure-Waves (RRID:SCR_017455) Copy   

•   Source: SciCrunch Registry

https://kg.ebrains.eu/

Metadata management system built for EBRAINS. Multi modal metadata store which brings together information from different areas of Human Brain Project as well as from external partners. Graph database tracks linkage between experimental data and neuroscientific data science supporting more extensive data reuse and complex computational research.Supports rich terminologies, ontologies and controlled vocabularies. Built by design to support iterative elaborations of common standards and supports these by probabilistic suggestion and review systems.

Proper citation: EBRAINS Knowledge Graph (RRID:SCR_017612) Copy   

•   Source: SciCrunch Registry

https://nemoanalytics.org/

Portal enabling web based visualization and analysis of multi omic data describing cell types in developing and adult brain, powered by gEAR and EpiViz. Release 1 on April 2019 includes single cell and bulk tissue RNAseq, ATACseq, and ChIPseq from fetal human prefrontal cortex, as well as from stem cell models of neural induction. Portal will expand to include multiple regions of developing and adult brain and additional analytical tools.

Proper citation: NeMO Analytics (RRID:SCR_018164) Copy   

•   Source: SciCrunch Registry

http://www.neuro.uni-jena.de/cat/

Software toolbox as extension to SPM12 to provide computational anatomy. This covers diverse morphometric methods such as voxel based morphometry, surface based morphometry, deformation based morphometry, and region or label based morphometry.

Proper citation: Computational Anatomy Toolbox for SPM (RRID:SCR_019184) Copy   

•   Source: SciCrunch Registry