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http://ccb.loni.usc.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31, 2022. Center focused on the development of computational biological atlases of different populations, subjects, modalities, and spatio-temporal scales with 3 types of resources: (1) Stand-alone computational software tools (image and volume processing, analysis, visualization, graphical workflow environments). (2) Infrastructure Resources (Databases, computational Grid, services). (3) Web-services (web-accessible resources for processing, validation and exploration of multimodal/multichannel data including clinical data, imaging data, genetics data and phenotypic data). The CCB develops novel mathematical, computational, and engineering approaches to map biological form and function in health and disease. CCB computational tools integrate neuroimaging, genetic, clinical, and other relevant data to enable the detailed exploration of distinct spatial and temporal biological characteristics. Generalizable mathematical approaches are developed and deployed using Grid computing to create practical biological atlases that describe spatiotemporal change in biological systems. The efforts of CCB make possible discovery-oriented science and the accumulation of new biological knowledge. The Center has been divided into cores organized as follows: - Core 1 is focused on mathematical and computational research. Core 2 is involved in the development of tools to be used by Core 3. Core 3 is composed of the driving biological projects; Mapping Genomic Function, Mapping Biological Structure, and Mapping Brain Phenotype. - Cores 4 - 7 provide the infrastructure for joint structure within the Center as well as the development of new approaches and procedures to augment the research and development of Cores 1-3. These cores are: (4)Infrastructure and Resources, (5) Education and Training, (6) Dissemination, and (7) Administration and Management. The main focus of the CCB is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging.

Proper citation: Center for Computational Biology at UCLA (RRID:SCR_000334) Copy   

•   Source: SciCrunch Registry

http://www.ibro.info/

A central organization that develops, supports, co-ordinates and promotes scientific research in all fields concerning the brain; promotes international collaboration and interchange of scientific information on brain research throughout the world; and provides for and to assist in education and the dissemination of information relating to brain research by all available means. IBRO represents the interests of more than 50,000 neuroscientists around the globe. Over the years, IBRO has set up a number of program to stimulate international contacts in brain research. Symposia and workshops are sponsored on the basis of competitive applications. Under its Publications Programme, IBRO publishes the journal Neuroscience and the annual newsletter IBRO News. IBRO offers post-doctoral fellowships and travel grants to students from less-developed countries. It has run a Neuroscience Schools Programme, organized by the committees of IBROs six Regions, aimed at forming interactive networks among students and teachers during training courses in Africa, Asia, Central and Eastern Europe, Latin America, Western Europe, and the US and Canada. With just three schools in 1999, expansion has been rapid - in 2007 there were 22 schools around the world.

Proper citation: International Brain Research Organization (RRID:SCR_007406) Copy   

•   Source: SciCrunch Registry

http://www.genepaint.org/MapP56_01.htm

Abbreviated reference atlas for the P56 mouse. All sections were nissl stained and digitized. To assist in the initial identification of sites of gene expression sites, maps of brains are available for E15.5, P7 and the adult. These maps depict the boundaries of major brain regions (cortex, thalamus, striatum, globus pallidus, ventral striatum, septum, basal forebrain, hippocampus, midbrain, pons, medulla, cerebellum) and also show the more prominent nerve tracts. Maps are most efficiently used by placing the window depicting the map of interest next to the gene expression image. Browsing is permitted between planes of sectioning thus allowing the most appropriate plane to be selected. Abbreviations are found in a list accessed by clicking the see abbreviation link at the bottom of each map. Alternatively, passing the cursor directly across the abbreviation on the map will result in the appearance of the appropriate term in the rider on top of the map panel. The annotation of anatomical details such as brain nuclei is currently beyond the scope of the GenePaint database. Hence, such information on the anatomy of the brain and embryo should be obtained from published atlases of mouse anatomy (Kaufman, 1995; Paxinos and Franklin, 2001; Jacobowitz and Abbott, 1997; Schambra et al., 1992; Valverde1998).

Proper citation: GenePaint P56 Mouse Atlas (RRID:SCR_002788) Copy   

•   Source: SciCrunch Registry

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

Allen Mouse Brain Atlas includes full color, high resolution anatomic reference atlas accompanied by systematic, hierarchically organized taxonomy of mouse brain structures. Enables interactive online exploration of atlas and to provide deeper level of 3D annotation for informatics analysis and viewing in Brain Explorer 3D viewer.

Proper citation: Allen Mouse Brain Reference Atlas (RRID:SCR_002978) Copy   

•   Source: SciCrunch Registry

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

A population-specific DTI template for young adolescent Rhesus Macaque (Macaca mulatta) monkeys using 271 high-quality scans. Using such a large number of animals in generating a template allows it to account for variability in the species. Their DTI template is based on the largest number of animals ever used in generating a computational brain template. It is anticipated that their DTI template will help facilitate voxel-based and tract specific WM analyses in non-human primate species, which in turn may increase our understanding of brain function, development, and evolution.

Proper citation: DTI-TEMPLATE-RHESUS-MACAQUES (RRID:SCR_002482) Copy   

•   Source: SciCrunch Registry

http://transgenicmouse.alleninstitute.org/

A comprehensive characterization of expression patterns of genetically-controlled markers or tool genes in the brains of transgenic mice generated by the Allen Institute as well as the broad scientific community. Providing standardized, detailed, anatomical profiling of transgene expression throughout the brain, this dataset is intended to reveal the potential of each transgenic mouse line and help researchers choose the appropriate tools for their studies. Transgenic mice are valuable tools to label selective neuronal or non-neuronal populations, modulate gene expression in these cells or manipulate activity of these cells for the study of neural circuits and brain function. The Allen Institute has launched a project to generate a variety of transgenic mouse lines, mainly using the Cre/lox system, to express fluorescent probes or neuronal activity manipulating tools in a variety of cell types in the brain. At the same time, utilizing Allen Institute's unique high-throughput capability, a pipeline is set up to characterize the ability in directing cell type specific expression in the brains of various transgenic mice generated by the Allen Institute as well as the broad scientific community. Through standardized, detailed, anatomical profiling of the transgene expression in the entire mouse brain, this dataset is intended to provide a comprehensive evaluation of the potential of each transgenic mouse line and help researchers choose the appropriate transgenic tools to study the function of different regions and/or cell types of the brain. This data release adds additional data to the existing set of new Cre-reporter lines generated at the Allen Institute that have stronger expression than other commonly used reporter lines are used to characterize approximately a dozen Cre-driver lines. The types of characterization data include digitized images (of sections sampling the entire brain) of colorimetric in situ hybridization (CISH), double fluorescent in situ hybridization (DFISH), native fluorescence of XFP (generic term for fluorescent proteins of different colors), and immunohistochemical (IHC) labeling of marker genes.

Proper citation: Allen Institute for Brain Science Transgenic Mouse Study (RRID:SCR_002999) Copy   

•   Source: SciCrunch Registry

http://www.neuroanatomy.wisc.edu/

Training materials including Web edition modules of the neuroanatomy coursebooks used by first-year medical students at the University of Wisconsin Medical School (UWMS), videos, and images. Topics include spinal cord, brain stem, Cerebellum, Thalamus, Cranial Nerves and National Board Review practice questions.

Proper citation: UW-Madison Neuroscience Resources (RRID:SCR_001649) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/bric/ideagroup/free-softwares/abeat-a-toolbox-for-consistent-analysis-of-longitudinal-adult-brain-mri

A 4D adult brain extraction and analysis toolbox with graphical user interfaces to consistently analyze 4D adult brain MR images. Single-time-point images can also be analyzed. Main functions of the software include image preprocessing, 4D brain extraction, 4D tissue segmentation, 4D brain labeling, ROI analysis. Linux operating system (64 bit) is required. A computer with 8G memory (or more) is recommended for processing many images simultaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing.

Proper citation: aBEAT (RRID:SCR_002238) Copy   

•   Source: SciCrunch Registry

http://www.utdallas.edu/bbs/

Mission of the School of Behavioral and Brain Sciences is to understand the intersection of mind, brain and behavior; enhance the health, education, and quality of life of children and families; and create and implement technologies and therapies that repair and strengthen human abilities. The School is housed in Green Hall on the main UT Dallas campus in Richardson. It also has satellite research centers and facilities in downtown Dallas.

Proper citation: University of Texas at Dallas School of Behavioral and Brain Sciences (RRID:SCR_004645) Copy   

•   Source: SciCrunch Registry

https://www.bminds.brain.riken.jp/

Web-accessible digital brain atlas of the common marmoset (Callithrix jacchus), prepared from histological sections of the marmoset brain using various staining techniques.

Proper citation: Digital Brain Atlas of the Common Marmoset (RRID:SCR_005069) Copy   

•   Source: SciCrunch Registry

http://penglab.janelia.org/proj/v3d/V3D/About_V3D.html

V3D is a handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. It also provides many unique functions, is Open Source, supports a very simple and powerful plugin interface and thus can be extended & enhanced easily. V3D-Neuron is a powerful 3D neuron reconstruction, visualization, and editing software built on top of V3D. Both V3D and V3D-Neuron have recently been published in Nature Biotechnology (April, 2010), and Highlighted in Nature Methods (May, 2010), and Science News (April, 2010), etc. V3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D image stacks and various surface data. It is also a container of powerful modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics, etc) and data management. This makes V3D suitable for various bioimage informatics applications, and a nice platform to develop new 3D image analysis algorithms for high-throughput processing. In short, V3D streamlines the workflow of visualization-assisted analysis. In the latest V3D development, it can render 5D (spatial-temporal) data directly in 3D volume-rendering mode; it supports convenient and interactive local and global 3D views at different scales. It even has a Matlab file IO toolbox. A user can now write his/her own plugins to take advantage of the V3D platform very easily.

Proper citation: V3D (RRID:SCR_008646) Copy   

•   Source: SciCrunch Registry

http://www.research.va.gov/programs/tissue_banking/als/

A human tissue bank that collects, processes, stores and gives out research specimens for future scientific studies. Presently, the VABBB is obtaining neurologic tissue specimens from Veterans who suffer from amyotrophic lateral sclerosis (ALS) and other illnesses that affect Veterans, along with relevant clinical data, essential for research. Currently, neither the cause nor prevention of ALS is known. Medical researchers are currently examining environmental, toxic, genetic, traumatic, medical, and occupational influences as possible contributors to the development and progression of ALS. Veterans have a higher risk of developing ALS compared with non-Veterans; however, the reasons for this higher risk are currently unknown. Any Veteran with ALS in the U.S. may enroll in the VABBB.

Proper citation: VA Biorepository Brain Bank (RRID:SCR_006546) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/labs-at-nimh/research-areas/research-support-services/hbcc/index.shtml

A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development.

Proper citation: NIMH Brain Tissue Collection (RRID:SCR_008726) Copy   

•   Source: SciCrunch Registry

http://crcns.org

Website for brain experimental data and other resources such as stimuli and analysis tools. Provides marketplace and discussion forum for sharing tools and data in neuroscience. Data repository and collaborative tool that supports integration of theoretical and experimental neuroscience through collaborative research projects. CRCNS offers funding for new class of proposals focused on data sharing and other resources.

Proper citation: CRCNS (RRID:SCR_005608) Copy   

•   Source: SciCrunch Registry

http://www.utsouthwestern.edu/education/medical-school/departments/neurology/programs/alzheimers-disease-center/brain-tissue-donation-program.html

Brain tissue donation program at the UT Southwestern Memory Clinic that aims to utilize these contributions for research on Alzheimer's. Diagnosis of Alzheimer's disease or other dementias are made through autopsy, the results of which are available to family members.

Proper citation: UT Southwestern ADC Brain Tissue Donation Program (RRID:SCR_008837) 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://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.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://github.com/afids

Open framework for evaluating correspondence between brain images and teaching neuroanatomy.

Proper citation: AFIDs (RRID:SCR_016623) 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