Tools   Select Another Resource Report Type

http://bmi.neuroinf.jp/

Databases of accumulating BMI (Brain Machine Interfaces)-related experimental data, mathematical models, and tools generated in neuroscience, computational theory, and robotics. Databases include: # Database of BMI (Brain Machine Interfaces)-related papers: More than 3500 BMI-related papers are registered. Each paper has original tags, for example, recording method and subject, for easy searching. # Database of original contents: BMI-related materials (Movie, Picture, Data, Program) provided by scientists. # Database of BMI-related research sites: 185 BMI-related research sites in the world (university, institute and company) are registered. The research site can be searched either by the location using clickable map or by the field of interest. # Database of BMI-related materials: Links to BMI-related materials (Movie, Picture, Document, Data, Program) are listed. You can easily find materials of your interest since each material is classified into research field. # BMI-related column: The columns are written by researchers specialized in BMI. Original contents include: * Neuronal activity during performance of a memory-guided movement * Reconstructed visual images from human fMRI activity * fMRI data and program for visual image reconstruction * Brain sections of monkeys, stained for several gene markers * Cortical Box Method: The Cortical box method is an analytical method that standardizes the serial coronal sections of rodent cortex for quantitative analysis. * Multineuron activity in monkey prefrontal cortex * Monkey Atlas: **Brain sections of monkeys, stained for AChE, ER81 mRNA and Sema3E mRNA - These pictures are low-resolution photos of serial brain sections of monkeys, stained for AChE as well as for ER81 and Sema3E mRNAs. The compressed file contains JPEG photos and html files for web browser navigation. Other materials are available at our website BraInSitu dedicated for in situ hybridization resources for brains. BraInSitu http://www.nibb.ac.jp/brish/indexE.html ** MRI Brain Atlas of Japanese Snow Monkey (Macaca Fuscata) at different ages - MRI Brain Atlas of Japanese Snow Monkey (Macaca Fuscata) at different ages ** The Stereotaxic MRI Brain Atlas of Japanese Snow Monkey - The Stereotaxic MRI Brain Atlas of Japanese Snow Monkey * Monkey M1 BMI ** m-file for checking the results of wrist angle estimation- This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/uln ** m-file for training of wrist angle estimation -This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation.ar deviation. ** M1 Neuronal Activity during monkey performing a motor task - video/x-ms-wmv ** Muscle tension - To estimate muscle tension from raw emg signal ** raw EMG signal - Raw EMG signal for 5 seconds ** training data of wrist angle and emg signal - This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation. ** Weight file of neural network - This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation. * Multineuron activity in monkey prefrontal cortex: Multineuron activity in monkey prefrontal cortex recorded by 3 tetrodes. Vertical 4 lines indicate one tetrode. Adjacent tetrodes are around 500 micron apart to each other.

Proper citation: Brain Machine Interface Platform (RRID:SCR_001813) Copy   

•   Source: SciCrunch Registry

http://www.mitre.org/news/digest/archives/2002/neuroinformatics.html

This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality.

Proper citation: MITRE Neuroinformatics (RRID:SCR_006508) Copy   

•   Source: SciCrunch Registry

http://www.brainvoyager.com

Brain Innovation B.V. is developing scientific software in the field of human and animal brain imaging, neural network simulation and computer-based experimental control. Our current major product, BrainVoyager QX, is a commercially available cross-platform neuroimaging tool, which is used in hundreds of labs across the planet. Turbo-BrainVoyager is an easy to use program for real-time data analysis, which allows to observe a subject''s or patient''s brain activity during an ongoing functional MRI scanning session. TMS Neuronavigator provides the hard- and software to navigate a TMS coil to desired anatomical or functionally defined brain regions. We also provide free software products. BrainVoyager Brain Tutor allows to learn about brain areas by clicking on rotatable 3D brain models. StimulDX is a powerful stimulation software based on Microsofts DirectX API, which we will make available for free download in the near future.

Proper citation: Brain Innovation: Home of the BrainVoyager Product Family (RRID:SCR_006660) Copy   

•   Source: SciCrunch Registry

http://obssr.od.nih.gov/index.aspx

An NIH office devoted to the study of the role of behavioral and social factors in illness and health. Its mission is to stimulate behavioral and social sciences research throughout NIH and to integrate these areas of research more fully into others of the NIH health research enterprise, thereby improving our understanding, treatment, and prevention of disease. To provide the OBSSR with counsel in fulfilling its mission, the Behavioral and Social Sciences Research Coordinating Committee (BSSR CC) serves as an internal advisory board. The Office of Behavioral and Social Sciences Research (OBSSR) opened officially on July 1, 1995. The major responsibilities of the office and its director, set forth in its formal mission statement, are: * To provide leadership and direction in the development, refinement, and implementation of a trans-NIH plan to increase the scope of and support for behavioral and social sciences research. * To inform and advise the NIH director and other key officials of trends and developments having significant bearing on the missions of the NIH, DHHS, and other federal agencies. * To serve as the principal NIH spokesperson regarding research on the importance of behavioral, social, and lifestyle factors in the causation, treatment, and prevention of diseases; and to advise and consult on these topics with NIH scientists and others within and outside the federal government. * To develop a standard definition of behavioral and social sciences research, assess the current levels of NIH support for this research, and develop an overall strategy for the uniform expansion and integration * of these disciplines across NIH institutes and centers. * To develop initiatives designed to stimulate research in the behavioral and social sciences arena, integrate a bio-behavioral perspective across the research areas of the NIH, and encourage the study of behavioral and social sciences across NIH''s institutes and centers. * To initiate and promote studies to evaluate the contributions of behavioral, social, and lifestyle determinants in the development, course, treatment, and prevention of illness and related public health problems. * To provide leadership in ensuring that findings from behavioral and social sciences research are disseminated to the public. * To sponsor seminars, symposia, workshops, and conferences at the NIH and at national and international scientific meetings on state-of-the-art behavioral and social sciences research. Funding Opportunities Announcements (FOA) Since opening its doors in 1995, The Office of Behavioral and Social Sciences Research (OBSSR) has worked to achieve the goals of its authorizing legislation by effectively highlighting and supporting the scientific opportunities that exist in basic and applied behavioral and social sciences research. Guided by its Strategic Plan, OBSSR has been working actively with its IC partners to develop funding opportunities in the behavioral and social sciences. Although OBSSR does not have grant-making authority, it has been active in organizing and funding (through transfers to NIH Institutes and Centers) a variety of trans-NIH research programs. Scientific Areas The Office of Behavioral and Social Sciences Researchs (OBSSR) leadership is crucial at a time when exciting scientific opportunities, persistent public health needs, and emergent public health challenges face our nation. The vision of the office is to bring together the biomedical, behavioral, and social science communities to work more collaboratively to solve complex pressing health challenges. Notable areas of research where OBSSR has led efforts and encourages research include: * Biopsychosocial Interactions * Methodology (including Systems Science and CBPR) * Genes, Behavior and Environment * Social and Cultural Factors in Health * Health and Behavior * Translation OBSSR Training & Education Opportunities The Office of Behavioral and Social Sciences Research (OBSSR) develops and coordinates training and career development opportunities with the NIH Institutes and Centers.

Proper citation: Office of Behavioral and Social Sciences Research (RRID:SCR_006554) Copy   

•   Source: SciCrunch Registry

http://www.brainvoyager.com/products/braintutor.html

A free award-winning educational program that teaches you knowledge about the human brain through interactive exploration of rotatable 3D models. The models have been computed with BrainVoyager QX using original data from magnetic resonance imaging (MRI) scans. Besides having fun with the rotatable 3D models, the program contains information about the major lobes, gyri, sulci and Brodmann areas of the cerebral cortex. The program runs on Windows XP, Vista and Windows 7.

Proper citation: BrainVoyager Brain Tutor (RRID:SCR_006737) Copy   

•   Source: SciCrunch Registry

http://humanconnectome.org/consortia/

Project to map the neural pathways that underlie human brain function for several modalities of neuroimaging data including fMRI. The purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics. Altogether, the Human Connectome Project will lead to major advances in the understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders. The sixteen institutes and centers of the NIH Blueprint for Neuroscience have funded two major grants that will take complementary approaches to deciphering the brain's amazingly complex wiring diagram. An 11-institution consortium led by Washington University in St. Louis and the University of Minnesota received a 5-year grant to enable development and utilization of advanced Magnetic Resonance Imaging (MRI) methods to chart brain circuitry. A consortium led by Massachusetts General Hospital and the University of California at Los Angeles received a grant to enable building and refining a next-generation 3T MR scanner that improves the quality and spatial resolution with which brain connectivity data can be acquired at this field strength.

Proper citation: NIH Human Connectome Project (RRID:SCR_006942) Copy   

•   Source: SciCrunch Registry

http://pga.mgh.harvard.edu/primerbank/

Database of human and mouse primer pairs for gene expression analysis by polymerase chain reaction (PCR) and quantitative PCR (qPCR). A total of 306,800 primers covering most known human and mouse genes can be accessed from the PrimerBank database, together with information on these primers such as T(m), location on the transcript and amplicon size. For each gene, at least one primer pair has been designed and in many cases alternative primer pairs exist. Primers have been designed to work under the same PCR conditions, thus facilitating high-throughput QPCR. All primers in PrimerBank were carefully designed to ensure gene specificity. All experimental validation data for mouse primers are available from PrimerBank. You can submit your primers. They will be added to the database once they are properly QCd.

Proper citation: PrimerBank (RRID:SCR_006898) Copy   

•   Source: SciCrunch Registry

http://genome.ucsc.edu/ENCODE

Encyclopedia of DNA elements consisting of list of functional elements in human genome, including elements that act at protein and RNA levels, and regulatory elements that control cells and circumstances in which gene is active. Enables scientific and medical communities to interpret role of human genome in biology and disease. Provides identification of common cell types to facilitate integrative analysis and new experimental technologies based on high-throughput sequencing. Genome Browser containing ENCODE and Epigenomics Roadmap data. Data are available for entire human genome.

Proper citation: ENCODE (RRID:SCR_006793) Copy   

•   Source: SciCrunch Registry

http://humancyc.org/

The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version.

Proper citation: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) Copy   

•   Source: SciCrunch Registry

http://www.alttox.org/

A website dedicated to advancing non-animal methods of toxicity testing, both to better protect the health of humans, animals, and the environment and to reduce the numbers and suffering of animals used in current toxicology assessments. The website is designed to encourage the exchange of technical and policy information on in vitro and in silico methods for all types of toxicity tests. The AltTox Forum is a message board for the AltTox community to use for posting news, information, and perspectives as well as encouraging feedback and commentary. This online community is intended to foster progress internationally in the development, validation, and acceptance of in vitro methods, with the goal of decreasing our reliance on animal-based safety testing. The Forum is moderated by a group of internationally-recognized subject matter experts. The Way Forward invited commentaries, which are posted in the TTRC, are opinion pieces written by experts in each relevant subfield. These essays are meant to help chart the course for future developments by advancing opportunities to overcome challenges and barriers to progress. Stakeholders are invited to comment on these essays in The AltTox Forum. AltTox users are encouraged to contribute to the website and interact with other users in several ways, including: :- Participating in the online forum :- Providing invited expert commentaries :- Suggesting or submitting content, events, monthly features, data, and graphics :- Providing feedback through the Website Feedback surve To encourage objectivity, the website content is overseen by an editorial board of distinguished subject matter experts.

Proper citation: AltTox: Non-animal Methods for Toxicity Testing (RRID:SCR_007212) Copy   

•   Source: SciCrunch Registry

https://www.icts.uiowa.edu/confluence/dashboard.action

A group of software packages for image analysis, mainly used in MRI image processing. BRAINS (Brain Research: Analysis of Images, Networks, and Systems) contains manual and automated tools for structural identification and methods for tissue classification and cortical surface generation. BRAINS2 is most commonly used to analyze magnetic resonance (MR) scans, but the package can also be used to analyze images acquired with positron emission tomography (PET), single photon emission computed tomography (SPECT), and functional magnetic resonance (fMR). It is implemented in an object-oriented, cross-platform compatible manner and includes a toolbar and command line interface, a graphical interface, and a computational kernel.

Proper citation: Brain Research: Analysis of Images, Networks and Systems (RRID:SCR_007357) Copy   

•   Source: SciCrunch Registry

http://hearingimpairment.jax.org/screening.html

The fairly common occurrence of hearing-loss or deafness in both humans and mice, and the anatomical and functional similarities of their inner ears, attest to the potential of mice as models to study hereditary hearing loss. Hundreds of standard inbred, recombinant inbred, and congenic strains are maintained at The Jackson Laboratory, as well as hundreds of inbred strains with spontaneous or induced mutations. To assess hearing impairment in inbred and mutant strains of mice we measure auditory-evoked brainstem response (ABR) thresholds.

Proper citation: The Jackson Laboratory Hearing Research Program (RRID:SCR_007196) Copy   

•   Source: SciCrunch Registry

http://www.linkrbrain.eu

An online tool for managing and viewing datasets. Data can be viewed in 2D or 3D with activation points as points clouds or projections on the cortex surface. Data can be imported as a NIfTI file or a list of activation peaks and results can be exported as a PDF file.

Proper citation: linkRbrain (RRID:SCR_014562) Copy   

•   Source: SciCrunch Registry

http://www.hgvs.org

The Society aims to foster discovery and characterization of genomic variations including population distribution and phenotypic associations. We promote collection, documentation and free distribution of genomic variation information and associated clinical variations and endeavor to foster the development of the necessary methodology and informatics. Mission Statement To enhance human health through identification and characterization of changes in the genome that lead to susceptibility to illness. To this end, to collate the genomic information necessary for molecular diagnosis, research on basic mechanisms and design of treatments of human ailments. Society Journal Human Mutation is the Society journal. Members will receive a reduced subscription to the journal if they choose to subscribe. Meetings The Society holds two scientific meetings per year. One as a satellite to either the HUGO (Human Genome Organization) annual meeting or the ESHG (European Society of Human Genetics) annual meeting and one meeting is a satellite to the ASHG (American Society of Human Genetics annual meeting. The meetings are a forum for scientists to exchange ideas and form collaborations. Prominent speakers in the field are invited as well as a call for abstracts at large. The meetings are designed to update and increase knowledge of human genome variation and generally attract a stimulating and interesting collection of abstracts in all fields of human genome variation making it an ideal forum to share information and results. Past themes include: copy number variation, pathogenic or not?, pharmacogenomics, new DNA sequencing technologies, and genotype to pheontype relationships. We invite members and non-members alike to attend these meetings. The Society holds the Annual General Meeting of the members after the scientific meeting that is a satellite of the ASHG. Exhibitor''s booths The Society usually takes out an Exhibitor''s booth at the American & European Societies of Human Genetics annual meetings and sometimes the HUGO HGM meeting. GUIDELINES & RECOMMENDATIONS Members of the Society have formulated Guidelines & Recommendations on a number of topics, but especially for nomenclature of gene variations and guidelines on variation databases.

Proper citation: Human Genome Variation Society (RRID:SCR_012989) Copy   

•   Source: SciCrunch Registry

http://mouse.brain-map.org/static/brainexplorer

Atlas of the brain and the disorders affecting it, aimed at general practitioners and specialists in training. It consists of three main parts: a description of the different parts of the normal brain and their functions, a description of the process of neurological control, and a description of 14 different brain disorders in psychiatry and neurology - as well as their cause, symptoms, and treatment.

Proper citation: Brain Explorer Atlas and Teaching Tool (RRID:SCR_013022) Copy   

•   Source: SciCrunch Registry

http://www.ornl.gov/sci/techresources/Human_Genome/home.shtml

This resource gives information about the U.S. Human Genome Project, which was was a 13-year effort to to discover all the estimated 20,000-25,000 human genes and make them accessible for further biological study. The primary project goals were to: - identify all the approximately 20,000-25,000 genes in human DNA, - determine the sequences of the 3 billion chemical base pairs that make up human DNA, - store this information in databases, - improve tools for data analysis, - transfer related technologies to the private sector, and - address the ethical, legal, and social issues (ELSI) that may arise from the project. To help achieve these goals, researchers also studied the genetic makeup of several nonhuman organisms. These include the common human gut bacterium Escherichia coli, the fruit fly, and the laboratory mouse. These parallel studies helped to develop technology and interpret human gene function. Sponsors: The DOE Human Genome Program and the NIH National Human Genome Research Institute (NHGRI) together sponsored the U.S. Human Genome Project.

Proper citation: Human Genome Project Information (RRID:SCR_013028) Copy   

•   Source: SciCrunch Registry

http://www.physiome.jp/

Physiome.jp has been established to provide building blocks useful to develop in silico human. The blocks will include mathematical models and experimental data representing physiological functions. Physiome.jp is a part of the Worldwide Integrative Biomedical Research Cooperation to promote Physiome and Systems Biology. The building blocks (modules, models, biological data) representing biological functions and structure are databased and served as elements in the catalogue of human knowledge. They can be reused for deeper understanding of human physiology, eventually contributing to establishment of in silico medicine and predictive medicine. The databases (insilicoDB) at www.physiome.jp currently include a Model Database and a Morphology Database. The Model Database stores a number of modules representing biological/physiological functions. Those models are formulated by mathematical equations to describe dynamic changes of states, i.e., specific biological functions. All models in the database are written in an XML format called insilicoML. The Morphology Database provides datasets representing morphometric models of biological organs. The morphometric data are provided in several data-types including surface data such as STL and VRML and volume/voxel data. The database contents are in the public domain and aim to provide valuable models to the scientific community for model sharing/reuse, simulation, model validation, visualization of biological structure, and morphology-based dynamic simulation of biological functions. These can be accomplished by combining insilicoML models with appropriate morphology datasets. Models and related data in the insilicoDB may be freely downloaded and reused for non-profit scientific purposes. When using the models in the Model Database, we ask the users to respect the effort spent in arranging/serving the mathematical models as well as the original model construction. For any reuse of the morphology data, we also ask the users to respect the intellectual property of those who provided the original data. This should be done by acknowledging insilicoDB@physiome.jp for model reuse and by including appropriate attribution information for any reuse of the morphology data. The insilicoDB owners will not be held responsible for misuse of the Morphology Database and/or Model Database, or damage caused by use of the data and models contained therein.

Proper citation: Physiome.jp (RRID:SCR_012944) Copy   

•   Source: SciCrunch Registry

http://www.fbresearch.org/

Established in 1981, the Foundation for Biomedical Research (FBR) is the nation''s oldest and largest organization dedicated to improving human and veterinary health by promoting public understanding and support for humane and responsible animal research. FBR is the leading voice of scientific reason and medical progress in the ongoing, sometimes violent debate that surrounds animal research. Their mission is to educate the public about the essential role of humane animal research in the quest for medical advancements, treatments and cures for both humans and animals. And through its innovative educational programs, FBR works to inform the news media, teachers, students and parents, pet owners and other groups about the essential need for lab animals in medical and scientific research and discovery. It serves as an accessible, reliable resource for the news media and works to bring American journalists and scientists together to promote exceptional and ongoing news coverage that contributes to public appreciation and respect for responsible animal research.

Proper citation: Foundation for Biomedical Research (RRID:SCR_013535) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry

http://www.icn.ucl.ac.uk/motorcontrol/

Using robotic devices to investigate human motor behavior, this group develops computational models to understand the underlying control and learning processes. By simulating novel objects or dynamic environments they study how the brain recalibrates well-learned motor skills or acquires new ones. These insights are used to design fMRI studies to investigate how these processes map onto the brain. They have developed a number of novel techniques of how to study motor control in the MRI environment, and how to analyze MRI data of the human cerebellum. They also study patients with stroke or neurological disease to further determine how the brain manages to control the body.

Proper citation: UCL Motor Control Group (RRID:SCR_005271) Copy   

•   Source: SciCrunch Registry