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http://adrc.ucsd.edu/

The UCSD ADRC conducts a wide variety of research studies dedicated to understanding the causes, clinical features, and treatments for Alzheimer's disease and related memory disorders. The goal of the center is to discover ways to prevent and eradicate the disease. The Center aims to maintain research subjects, clinical resources, and clinical data to support ongoing and proposed research and to assist in the development of new clinical and interdisciplinary research. An Alzheimer's brain bank with well characterized cases, including Mild Cognitive Impairment and Lewy Body disease, is maintained at the Center.

Proper citation: Shiley-Marcos Alzheimer's Disease Research Center (RRID:SCR_001928) Copy   

•   Source: SciCrunch Registry

http://www.thevirtualbrain.org/

Simulation software for modeling the entire human brain by combining structural and functional data from empirical neuroimaging data. It can generate local field potentials, EEG, MEG and fMRI BOLD data based on neural mass models. The user can also modify the model parameters to match clinical conditions from focal lesions or degenerative disorders.

Proper citation: Virtual brain (RRID:SCR_002249) Copy   

•   Source: SciCrunch Registry

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

Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more.

Proper citation: VoxBo (RRID:SCR_002166) Copy   

•   Source: SciCrunch Registry

https://www.humanbrainproject.eu/

Global, collaborative effort for neuroscience, medicine and computing to understand brain, its diseases and its computational capabilities. Goal is to obtain access to research, data sources, platforms and infrastructures offered by other organisations, and enabling organizations outside HBP to use HBP platforms to pursue their own research. Coordinating these activities is the responsibility of the European Research Programme.

Proper citation: Human Brain Project EU (RRID:SCR_002241) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/uncbcp_4d_atlas/

Software package for constructing longitudinal atlases, which are the necessary steps for many brain-related applications.

Proper citation: 4D Atlases Construction (RRID:SCR_002227) Copy   

•   Source: SciCrunch Registry

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry

http://www.ecnp.eu/

A pan-European scientific association to encourage research across the neurosciences and to translate new knowledge on fundamental disease mechanisms into new medicines and clinical applications. As an interdisciplinary forum for the science and treatment of disorders of the brain, they promote the communication and cross- fertilization of high-quality experimental and clinical research across the field of neuroscience. ECNP is a non-profit member-based association, independently governed and self-funded. ECNP is a public-interest-serving entity.

Proper citation: ECNP (RRID:SCR_000501) Copy   

•   Source: SciCrunch Registry

https://resource.loni.usc.edu/resources/atlases/

Probabilistic reference system for human brain, including tools to establish this reference system for structural and functional anatomy on both macroscopic (in vivo) and microscopic (post mortem) levels. Project has expanded neuroinformatics tools for data sharing and created Conforming Site System that allows laboratories worldwide to contribute data to evolving atlas. Through implementation of ICBM data sharing policy space, they are fostering data exchange while still providing for scientific credit assignment and subject confidentiality.ICBM atlas collection consists of ICBM Template, tool developed to provide reference that includes both set of coordinates and associated anatomical labels; the ICBM 452 T1 atlas, average of T1-weighted MRIs of normal young adult brains, ICBM probabilistic atlases, and Cytoarchitectonic Atlas. ICBM Subject Database is web-based database infrastructure that simplifies image dataset collection, organization and dissemination. Authorized users may view representations of data and form collections of datasets that can be downloaded or fed directly into Pipeline environment for distributed processing and analysis.

Proper citation: International Consortium for Brain Mapping (RRID:SCR_000445) Copy   

•   Source: SciCrunch Registry

http://www.talairach.org/

Software automated coordinate based system to retrieve brain labels from the 1988 Talairach Atlas. Talairach Daemon database contains anatomical names for brain areas using x-y-z coordinates defined by the 1988 Talairach Atlas.

Proper citation: Talairach Daemon (RRID:SCR_000448) Copy   

•   Source: SciCrunch Registry

http://brainstars.org

BrainStars (or B*) is a quantitative expression database of the adult mouse brain. The database has genome-wide expression profile at 51 adult mouse CNS regions. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2). These samples were purified their RNA, and measured with Affymetrix GeneChip Mouse Genome 430 2.0 arrays. Expression values were then summarized with the RMA method. After several analysis with the expression data, the data and analysis results were stored in the BrainStars database. The database has a REST-like Web API interface for accessing from your Web applications. This document shows how to access the database via our Web API.

Proper citation: BrainStars (RRID:SCR_005810) Copy   

•   Source: SciCrunch Registry

http://vibez.informatik.uni-freiburg.de/

An imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1����m^3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva. The ViBE-Z database and atlas are stored in HDF5 file format. They are freely available for download. ViBE-Z provides a software that automatically maps gene expression data with cellular resolution to a 3D standard larval zebrafish (Danio rerio) brain. ViBE-Z enhances the data quality through fusion and attenuation correction of multiple confocal microscope stacks per specimen and uses a fluorescent stain of cell nuclei for image registration. It automatically detects 14 predefined anatomical landmarks for aligning new data with the reference brain. ViBE-Z performs colocalization analysis in expression databases for anatomical domains or subdomains defined by any specific pattern. The ViBE-Z database, atlas and software are provided via a web interface.

Proper citation: ViBE-Z (RRID:SCR_005895) Copy   

•   Source: SciCrunch Registry

https://gene-atlas.brainminds.jp/

Database of gene expression in the marmoset brain.Comparative anatomy of marmoset and mouse cortex from genomic expression. Atlas comparing brain of neonatal marmoset with mouse using in situ hybridization.

Proper citation: Expression Atlas of the Marmoset (RRID:SCR_005760) Copy   

•   Source: SciCrunch Registry

http://www.utsouthwestern.edu/education/medical-school/departments/neurology/programs/traumatic-brain-injury/index.html

The 16 affiliated Model System centers throughout the United States are responsible for gathering and submitting the core data set to the national database as well as conducting research studies on traumatic brain injury (TBI) both in collaboration with the other centers and within our own site. Through our research we hope to learn more about TBI and about the issues and concerns of people with TBI. Our goals are to improve the outcome and quality of life for people who have had brain injuries and for those who are caring for the person with a TBI. The North Texas Traumatic Brain Injury Model System (NT-TBIMS) pools the efforts and talents of individuals from the Departments of Neurosurgery, Neurology, Physical Medicine and Rehabilitation, Psychiatry (Neuropsychiatry), and Neuroradiology of the two leading medical institutions in the North Texas region. To be a patient involved in the research being conducted by the North Texas Traumatic Brain Injury Model System you must have suffered a TBI, be at least 16 years of age, have received initial treatment for the TBI at either Parkland Health and Hospital System or Baylor University Medical Center and then have received rehabilitative care at either Parkland, University Hospital Zale-Lipshy, or Baylor Institute for Rehabilitation. The patient must also be able to understand and sign an informed consent to participate or, if unable, have a family member or a legal guardian who understands the form sign the informed consent for the patient.

Proper citation: North Texas Traumatic Brain Injury Model System (RRID:SCR_005879) Copy   

•   Source: SciCrunch Registry

http://www.brainsmatter.com/

Welcome to the Brains Matter podcast where brains really do matter. A discussion of science, trivia, history, and general knowledge. The show started in September 2006, and includes discussion on various topics, as well as interviews with experts in their field. You can subscribe to the show via iTunes, a standard RSS reader, or listen to the individual MP3 shows from the ''flash player'' on the website, or direct download.

Proper citation: Brains Matter (RRID:SCR_005847) Copy   

•   Source: SciCrunch Registry

http://brainnetworks.sourceforge.net

Brain Networks: Code to perform network analysis on brain imaging data.

Proper citation: Brain Networks (RRID:SCR_005841) Copy   

•   Source: SciCrunch Registry

http://www.brain-map.org/api/index.html

API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service

Proper citation: Allen Brain Atlas API (RRID:SCR_005984) Copy   

•   Source: SciCrunch Registry

http://connectomes.utah.edu/

A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications.

Proper citation: Viking Viewer for Connectomics (RRID:SCR_005986) Copy   

•   Source: SciCrunch Registry

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

A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.

Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy   

•   Source: SciCrunch Registry

http://mialab.mrn.org/index.html

MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.

Proper citation: MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) Copy   

•   Source: SciCrunch Registry

http://brainvis.wustl.edu/wiki/index.php/Caret:About

Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems.

Proper citation: Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) Copy   

•   Source: SciCrunch Registry