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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
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
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
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
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
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
https://github.com/cwatson/braingraph/
Software R package for performing graph theory analyses of brain MRI data.
Proper citation: brainGraph (RRID:SCR_017260) Copy
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
https://github.com/Mark-Kramer/Seizure-Waves
Analysis and modeling code for waves of seizure activity.
Proper citation: Seizure-Waves (RRID:SCR_017455) Copy
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
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
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
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
Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts
Proper citation: Brain Architecture Project (RRID:SCR_004283) Copy
http://www.essentialtremor.us/
Finding a cure for any neurological disorder begins with the scientific study of the disorder''s causes, processes, and development in the brain. For essential tremor (ET), rigorous study of this kind had not been undertaken until 2003, when the Essential Tremor Centralized Brain Repository (ETCBR) was established at Columbia University. For the past five years, brain tissue from ET donors has been collected, processed and compared alongside age-matched control brains at the ETCBR, and already several significant findings have been made. However, there is still much to learn and a severe shortage of ET brains for scientific study. If you have been diagnosed with essential tremor, donating your brain tissue in the hours immediately after your death is of utmost importance in providing crucial information about what causes ET. Direct analysis of the shape and number of nerve cells and their content will provide medical researchers with the information they need in order to understand this complex illness. By advancing our medical knowledge of ET, the gift of brain tissue is a central piece of the puzzle in the search to develop better treatments and find a cure.
Proper citation: Essential Tremor Centralized Brain Repository (RRID:SCR_004464) Copy
The National Alliance for Medical Image Computing (NA-MIC) is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The purpose of the Center is to provide the infrastructure and environment for the development of computational algorithms and open-source technologies, and then oversee the training and dissemination of these tools to the medical research community. Electronic resources provided by NA-MIC include software, data, tutorials, presentations, and more.
Proper citation: National Alliance for Medical Image Computing (RRID:SCR_004460) Copy
http://www.mscenter.org/research/tissue-bank/
Scientists throughout the world depend on the Rocky Mountain MS Center Tissue Bank to supply high quality human brain tissue and cerebral spinal fluid to support their research. Funded in part by the National MS Society, the Tissue Bank is one of only four MS-related tissue banks in the nation. The Tissue Bank has distributed specimens to more than 160 investigators worldwide and over 1,600 people have consented to be donors after death. Tissue banks provide a unique bridge between those who live with MS and the scientific community. Studies conducted with samples from the Center have led to several important discoveries and 130 publications. While deeply personal, the decision to donate has far-reaching effects as scientists unlock the mysteries of multiple sclerosis. If you would like to donate, arrangements must be made in advance because it is important that tissue is taken within a few hours of death. For more information on making a donation, visit the How To Donate section of this website and contact the Rocky Mountain MS Center Tissue Bank at 303.788.4030 x111.
Proper citation: Rocky Mountain MS Center Tissue Bank (RRID:SCR_004361) Copy
http://www.brainsciencepodcast.com/
Podcast, hosted by Dr. Ginger Campbell, featuring the latest books about neuroscience as well as interviews with leading scientists from around the world. In this podcast, she shares recent discoveries from the world of neuroscience in a way that people of all backgrounds can enjoy. Dr. Campbell is an experienced emergency physician with a long-standing interest in mind-body medicine, the brain, and consciousness. She believes that understanding how the brain works gives us insight into what makes us human. She is also committed to showing how the scientific method has unraveled many long-standing mysteries. Brain Science Transcripts are also available.
Proper citation: Brain Science Podcast (RRID:SCR_004491) Copy
http://www.brainarchitecture.org/mouse-home
An atlas project whose goal is to enerate brainwide maps of inter-regional neural connectivity that specify the inputs and outputs of every brain region, at a "mesoscopic" level of analysis. A 3D injection viewer is used to view the mouse brain. To determine the outputs of a brain region, anterograde tracers are used which are taken up by neurons locally ("the input"), then transported actively down the axons to the "output regions." The whole brain is then sliced thinly, and each slice is digitally imaged. These 2-D images are reconstructed in 3D. The majority of the resulting 3-D brain image is unlabeled. Only the injected region and its output regions have tracer in them, allowing for identification of this small fraction of the connectivity map. This procedure is repeated identically, to account for individual variability. To determine the inputs to the same brain region as above, a retrograde tracer is injected in the same stereotaxic location ("the input"), and the process is repeated. In order to accumulate data from different mice (each of whom has a slightly different brain shape and size), 3-D spatial normalization is performed using registration algorithms. These gigapixel images of whole-brain sections can be zoomed to show individual neurons and their processes, providing a "virtual microscope." Each sampled brain is represented in about 500 images, each image showing an optical section through a 20 micron-thick slice of brain tissue. A multi-resolution viewer permits users to journey through each brain, following the pathways taken through three-dimensional brain space by tracer-labeled neuronal pathways. A key point is that at the mid-range "mesoscopic" scale, the team expects to assemble a picture of connections that are stereotypical and probably genetically determined in a species-specific manner. By dividing the volume of a hemisphere of the mouse brain into 250 equidistant, predefined grid-points, and administering four different kinds of tracer injections at each grid point -- in different animals of the same sex and age a complete wiring diagram that will be stitched together in "shotgun" fashion from the full dataset.
Proper citation: Mouse Brain Architecture Project (RRID:SCR_004683) Copy
RIKEN Brain Science Institute (BSI) has a mission to produce innovative research and technology leading to scientific discoveries of the brain. In addition, BSI aims to develop domestic and international brain researchers by creating an environment that will integrate various intellectual disciplines and from that convergence find solutions that will ultimately benefit society in the realms of medicine, engineering, business, and education. In striving toward this goal, BSI has become a leading international center for brain research with a reputation for discovery, innovation, training, and globalization of the scientific enterprise. Brain science is valuable not only for the advancement of science but also because it can greatly impact our society and economy. To meet these expectations, the Brain Science Institute (BSI) was established in 1997 as part of RIKEN, an independent research institution supported by the Japanese government.
Proper citation: RIKEN Brain Science Institute (RRID:SCR_004796) Copy
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