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http://www.jsmf.org/

Supports research and scholarship to improve the quality of life by providing funding for grants in three program areas: studying complex systems, understanding human cognition, and mathematical and complex systems approaches for brain cancer. Types of awards include Fellowship Awards, Scholar Awards, and Collaborative Awards. * Studying Complex Systems: This program supports scholarship and research directed toward the development of theoretical and mathematical tools that can be applied to the study of complex, adaptive, nonlinear systems. It is anticipated that research funded in this program will address issues in fields such as biology, biodiversity, climate, demography, epidemiology, technological change, economic development, governance, or computation. * Understanding Human Cognition: This program supports research studying how neural systems are linked to and support cognitive functions and how cognitive systems are related to an organism's (preferably human) observable behavior. Studies with model organisms should justify why such models were selected and how data obtained from models advances our understanding of human cognition. * Mathematical & Complex Systems Approaches for Brain Cancer: (Collaborative Activity Awards grant type only.) Despite some recent cause for optimism for advancing the clinical treatment of brain cancers, for many patients brain tumor remains a devastating diagnosis. Progress against this disease has been stymied by limited understandings of the molecular, metabolic, and physiological characteristics of human brain cancers across multiple temporal and spatial scales and by the failure of many preclinical models to predict patient responses.

Proper citation: James S. McDonnell Foundation (RRID:SCR_006341) Copy   

•   Source: SciCrunch Registry

http://www.callisto-science.org/NSI/Neuroscience_Image_Database/Images%20of%20the%20Human%20Nervous%20System%20-%20Neuroanatomy.html

Data set of images of the human nervous system focusing on neuroanatomy.

Proper citation: Human Nervous System Neuroanatomy (RRID:SCR_006371) Copy   

•   Source: SciCrunch Registry

http://vinovia.ncl.ac.uk/emagewebapp/pages/eadhb_home.jsf

Database of a set of standard 3D virtual models at different stages of development from Carnegie Stages (CS) 12-23 (approximately 26-56 days post conception) in which various anatomical regions have been defined with a set of anatomical terms at various stages of development (known as an ontology). Experimental data is captured and converted to digital format and then mapped to the appropriate 3D model. The ontology is used to define sites of gene expression using a set of standard descriptions and to link the expression data to an ''''anatomical tree''''. Human data from stages CS12 to CS23 can be submitted to the HUDSEN Gene Expression Database. The anatomy ontology currently being used is based on the Edinburgh Human Developmental Anatomy Database which encompasses all developing structures from CS1 to CS20 but is not detailed for developing brain structures. The ontology is being extended and refined (by Prof Luis Puelles, University of Murcia, Spain) and will be incorporated into the HUDSEN database as it is developed. Expression data is annotated using two methods to denote sites of expression in the embryo: spatial annotation and text annotation. Additionally, many aspects of the detection reagent and specimen are also annotated during this process (assignment of IDs, nucleotide sequences for probes etc). There are currently two main ways to search HUDSEN - using a gene/protein name or a named anatomical structure as the query term. The entire contents of the database can be browsed using the data browser. Results may be saved. The data in HUDSEN is generated from both from researchers within the HUDSEN project, and from the wider scientific community. The HUDSEN human gene expression spatial database is a collaboration between the Institute of Human Genetics in Newcastle, UK, and the MRC Human Genetics Unit in Edinburgh, UK, and was developed as part of the Electronic Atlas of the Developing Human Brain (EADHB) project (funded by the NIH Human Brain Project). The database is based on the Edinburgh Mouse Atlas gene expression database (EMAGE), and is designed to be an openly available resource to the research community holding gene expression patterns during early human development.

Proper citation: HUDSEN Human Gene Expression Spatial Database (RRID:SCR_006325) Copy   

•   Source: SciCrunch Registry

http://learn.genetics.utah.edu/content/addiction/drugs/mouse.html

Mouse Party is an interactive website that teaches how various drugs disrupt the synapse by taking a look inside the brains of mice on drugs! Every drug of abuse has its own unique molecular mechanism. Where applicable, this presentation primarily depicts how drugs interact with dopamine neurotransmitters because this website focuses on the brain''s reward pathway. Mouse Party is designed to provide a small glimpse into the chemical interactions at the synaptic level that cause the drug user to feel ''high''. The simplified mechanisms of drug action presented here are just a small part of the story. When drugs enter the body they elicit very complex effects in many different regions of the brain. Often they interact with many different types of neurotransmitters and may bind with a variety of receptor types in a variety of different locations. For example, THC in marijuana can bind with cannabinoid receptors located on the presynaptic and/or postsynaptic cell in a synapse.

Proper citation: Mouse Party (RRID:SCR_006438) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/functionalconnectivitytoolbox/

MATLAB toolbox for performing functional connectivity analyses includes many of the most commonly-used approaches researchers have utilized to date for the identification of condition-dependent functional interactions between fMRI time-series obtained from two or more brain regions. The approaches are either bivariate or multivariate methods defined in time or frequency domains that emphasize distinct features of relationships among the time-series.

Proper citation: Functional Connectivity Toolbox (RRID:SCR_006394) Copy   

•   Source: SciCrunch Registry

http://www.medschool.lsuhsc.edu/epilepsy_center/

The LSU Epilepsy Center of Excellence is dedicated to providing state-of-the-art, comprehensive epilepsy treatment, enhancing access to epilepsy education for patients and physicians, and promoting multidisciplinary epilepsy research in pharmacology, neuroelectrophysiology, neuroimaging, neurosurgery, neuropsychology, biomedical engineering and public health. The center''s team of professionals offers diagnostic and presurgical monitoring, the strategic use of antiepileptic medications, specialized epilepsy neuroimaging, vagus nerve stimulator implantation, ketogenic diet management, neuropsychological testing, psychiatric support and epilepsy surgery for adults and children. The Center also hosts several clinical research trials each year for investigational medications and devices. The following are the treatment methods currently available at this center: - Epilepsy Brain Implants - Responsive Neurostimulator (RNS) - Medications - Medication blood level monitoring - Vagus Nerve Stimulators (VNS) - Epilepsy Surgery - Ketogenic Diet - Psychiatric Services - Radiosurgery Epilepsy Center Sections: *Electrophysiology *Neuroimaging *Neuropsychology *Neuroscience *Neurosurgery *Pharmacology *Psychiatry *Research

Proper citation: Louisiana State University School of Medicine, Health Sciences Center: Epilepsy Center (RRID:SCR_006519) 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.neuroinf.jp/

The Japan Node of the INCF coordinates neuroinformatics activities within Japan and represents Japanese efforts in INCF. This site provides information about Japanese neuroinformatics platforms (NI Platforms) and the techniques and tools available from the International Neuroinformatics Coordinating Facility (INCF). The Neuroinformatics Japan Center (NIJC) will also supply techniques and tools developed at RIKEN BSI and at other research groups in Japan. INCF expects each national node to: 1. Actively formulate and implement the INCF Work Programs, 2. Coordinate and facilitate local neuroinformatics research activities at the national level, 3. Encourage neuroinformatics data sharing that conforms with INCF standards, and 4. Promote neuroinformatics development that supports the goals of INCF. The Neuroinformatics Japan Center (NIJC) represents the Japan Node. Together with the Japan Node Committee and the Platform Subcommittees, we promote domestic activities of neuroinformatics. Platform Subcommittee members collaborate to develop databases that are available for use on the website. Standing at the intersection of neuroscience and information science, the field of neuroinformatics develops the tools to house, share and analyze neuroscientific data, and to create computational models of brain. NIJC supports researchers developing and maintaining neuroscience databases, provides a portal for these databases and Neuroinformatics, and is designing the infrastructure for Neuroinformatics. It is also developing database technologies, and facilitates cooperation and distribution of the information stored in those databases. The activities of the Japan Node * Shaping domestic neuroinformatics research and directions (Japan Node Committee) * Advising on Intellectual Property Rights and protecting experimental subjects (Japan Node Committee) * Developing and publishing brain science databases (Platform Subcommittee) * Coordinating database management (Platform Subcommittee) * Disseminating neuroinformatics information via the web portal * Developing the infrastructure for brain science information and neuroinformatics * Supporting the development and diffusion of neuroinformatics technology

Proper citation: INCF Japan Node (RRID:SCR_006569) Copy   

•   Source: SciCrunch Registry

https://github.com/markmikkelsen/Gannet

Free, open-source MATLAB-based software toolkit for analyzing edited 1H magnetic resonance spectroscopy (MRS) data.

Proper citation: Gannet (RRID:SCR_016049) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/mrtool

Software toolkit for analysis of MR brain imaging data. MRTool runs on Apple computers and PCs and requires SPM12.

Proper citation: MRTool (RRID:SCR_015956) Copy   

•   Source: SciCrunch Registry

http://marmosetbrain.org/

Brain connectivity atlas to create systematic, digital repository for data on connections between different cortical areas, in primate species. Data repository for connections between different cortical areas in marmoset monkeys. Allows access to data set and enables other interpretations of data, in light of future evolution of knowledge about marmoset cortex.

Proper citation: Marmoset Brain Connectivity Atlas (RRID:SCR_015964) Copy   

•   Source: SciCrunch Registry

https://www.biomax.com/neuroxm

Software toolkit for semantic integration of multi-modal brain data. It is used to collect, structure, connect, analyze and re-use brain data.

Proper citation: NeuroXM Brain Science Suite (RRID:SCR_016372) Copy   

•   Source: SciCrunch Registry

https://brainiak.org

Open source software package of Python modules for neuroscience, primarily focused on functional Magnetic Resonance Imaging (fMRI) analysis. Used for analyzing neuroimaging data.

Proper citation: Brain Imaging Analysis Kit (RRID:SCR_014824) Copy   

•   Source: SciCrunch Registry

http://caprica.genetics.kcl.ac.uk/BRAINEAC/

Database for the UK Brain Expression Consortium (UKBEC) dataset that comprises of brains from individuals free of neurodegenerative disorders. The aim of Braineac is to release to the scientific community a valid instrument to investigate the genes and SNPs associated with neurological disorders.

Proper citation: Braineac (RRID:SCR_015888) Copy   

•   Source: SciCrunch Registry

http://www.uimcimes.es/contenidos/golink?p=1

Software toolbox for Statistical Parametric Mapping (SPM) to fit reference-region kinetic models (SRTM, SRTM2, Patlak Reference and Logan Reference Plot) are currently available in QModeling to dynamic PET studies. Used for the analysis of brain imaging data sequences.

Proper citation: QModeling (RRID:SCR_016358) Copy   

•   Source: SciCrunch Registry

http://brainarchitecture.org/allen-atlas-brain-toolbox

Software Matlab toolbox for quantitative analysis of digitized brain wide gene expression data from Allen Atlas of adult mouse brain.

Proper citation: Brain Gene Expression Analysis toolbox (RRID:SCR_017438) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/clsm/

Software package that performs several multivariate and mass univariate lesion symptom mapping analyses. Uses patient imaging lesion masks of brain insults and correlates them in multiple ways with patient behavioral and covariate data. Several permutation based SPMs are computed along with power, variance explained, and lesion coverage maps.

Proper citation: CLIMB Lesion Symptom Mapping Software (RRID:SCR_018298) Copy   

•   Source: SciCrunch Registry

https://github.com/CPernet/brain_colours

Software tool as a perceptually uniform color maps. Used in scientific literature to reflect data of brain imaging.

Proper citation: Colour maps for brain imaging (RRID:SCR_016715) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/anocva/index.html

Software R package as a nonparametric statistical test to compare clustering structures with applications in functional magnetic resonance imaging data (fMRI). Used for analysis of cluster variability in the diagnosis of neuropsychological disorders.

Proper citation: ANOCVA (RRID:SCR_016719) Copy   

•   Source: SciCrunch Registry

https://www.janelia.org/project-team/mouselight

Software imaging platform to generate datasets of whole mouse brains imaged at submicron resolution that allow reconstructions of complete axonal arbors of individual neurons across the entire mouse brain.

Proper citation: MouseLight Project (RRID:SCR_016668) Copy   

•   Source: SciCrunch Registry