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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
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
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
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
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
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
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
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
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
Detailed multidimensional digital multimodal atlas of C57BL/6J mouse nervous system with data and informatics pipeline that can automatically register, annotate, and visualize large scale neuroanatomical and connectivity data produced in histology, neuronal tract tracing, MR imaging, and genetic labeling. MAP2.0 interoperates with commonly used publicly available databases to bring together brain architecture, gene expression, and imaging information into single, simple interface.Resource to visualise mouse development, identify anatomical structures, determine developmental stage, and investigate gene expression in mouse embryo. eMouseAtlas portal page allows access to EMA Anatomy Atlas of Mouse Development and EMAGE database of gene expression.EMAGE is freely available, curated database of gene expression patterns generated by in situ techniques in developing mouse embryo. EMA, e-Mouse Atlas, is 3-D anatomical atlas of mouse embryo development including histology and includes EMAP ontology of anatomical structure, provides information about shape, gross anatomy and detailed histological structure of mouse, and framework into which information about gene function can be mapped.
Proper citation: eMouseAtlas (RRID:SCR_002981) Copy
http://www.mknt.hu/sites/default/files/NEPSYBANK_0.doc
The Hungarian Society of Clinical Neurgenetics established a nationwide collaboration for prospective collection of human biological materials and databases from patient with neurological and psychiatric diseases. The basic triangle of the NEPSYBANK is the sample, the information and the study management. The present participants of the NEPSYBANK are the Department of Neurology and Psychiatry of the four Medical Universities (in Budapest, Debrecen, Pecs, Szeged) and the National Institute of Psychiatry and Neurology in Budapest. The NEPSYBANK is a disease based biobank collecting both phenotypical and environmental data and biological materials such as DNA/RNA, whole blood, plasma, cerebral spinal fluid, muscle / nerve / skin biopsy, brain, and fibroblast. The target of the diseases is presently (Phase I): stroke syndromes, dementias, movement disorders, motoneuron diseases, epilepsy, multiple sclerosis, schizophrenia, alcohol addiction. In the near future (Phase II.) it is planned to enlarge the scale with headaches, disorders of the peripheral nerves, disorders of neuromuscular transmission, disorders of skeletal muscle, depression, anxiety. DNA/RNA is usually extracted from whole blood, but occasionally different tissues such as muscle, brain etc. can be used as well. The extracting procedures differ among the institutes, but in all cases the concentration and the quality of the DNA/RNA must be registered in the database. Participating institutional biobanks have committed themselves to follow common quality standards, which provide access to samples after prioritization on scientific grounds only. In every case the following data are registered. 1. General data: main bank categories, age, sex, ethnicity, body height, body weight, economic stats, education, type of place of living, marital status, birth complications, alcohol, drugs, smoking. 2. Sample properties (sample ID, type of sample, date of extraction, concentration, and level of purity). General patient data as blood pressure, heart rate, internal medical status, ECG, additional diseases. Disease specific question e.g. in schizophrenia the diagnosis after DSMIV and ICD 10, detailed diagnostic questions after both classification, detailed psychiatric and neurological status, laboratory findings, rating scales, data of neuroimaging, genetic tests, applied medication (with generic name, dose, duration), adverse drug effects and other treatments. The Biobank Information Management System (BIMS) is responsible for linkage of databases containing information on the individual sample donors. If you want to have samples from the NEPSYBANK an application must be submitted containing the following information: short research plan including aims and study design, ethic application with a positive decision, specific demands regarding the right of disposition, agreements with grant organizations which regulate immaterial property, information about financing (academic grants, support from industry). All participants have the right to withdraw their samples through a simple order.
Proper citation: Hungarian Neurological-Psychiatric Biobank (RRID:SCR_003715) Copy
http://www.brainbankforautism.org.uk/
Encourages and facilitates brain tissue donation for use in the best scientific studies to better understand the biological basis of autism down to the cellular and molecular levels and through that understanding bring about the development of effective interventions for those affected by autism spectrum disorders. To ensure the best co-ordinated use of brain tissue, the UK Brain Bank for Autism works in collaboration with the Autism Tissue Program in the US and shares the same Tissue Advisory board. The Brain Bank for Autism & Related Developmental Research was established in 2009. It is an initiative to develop a similar program in the UK to the Autism Tissue Program, which has been developed in the US since 1998. Our Brain Bank is the first extension outside the US of the Autism Tissue Program and is integrated with it. The Brain Bank is based at Oxford University, where it forms part of the Thomas Willis Oxford Brain Collection. It operates in accordance with all UK legal and ethical requirements. The donation of post-mortem brain tissue for this research program is of fundamental importance to our understanding of the causes of autism and to help us develop more effective diagnostic measures and interventions. A separate brain bank for autism is necessary because we need to understand how, in autism, the brain develops over time and how the brain functions as a whole. However, our Brain Bank will promote close cooperation across all relevant brain banks in order to take the research forward. Our research focuses on: * people within the autism spectrum or their family members * people not affected by autism but who are affected by epilepsy * individuals without autism or epilepsy.
Proper citation: Brain Bank for Autism (RRID:SCR_004664) Copy
http://www.tmf-ev.de/BiobankenRegisterEN/Registry.aspx?udt_2021_param_detail=84
A brain bank which collects brain tissue from patients who died from various neurological and psychiatric diseases. These tissues are available for biochemical, molecular biological, and other work groups with the aim of supporting research on the pathogenesis, diagnosis, and therapy of these diseases. Collected brains are clinically and neuropathologically well-characterized. The collection and distribution of brain tissue samples is an ongoing process. NeuroBiobank Munich offers help with the organization and implementation of autopsies as well as with the neuropathologic diagnostics. The thematic emphasis of the NeuroBiobank Munich is Parkinson's disease and demential degenerative disorders such as Alzheimer's disease or Creutzfeldt-Jakob disease. NeuroBiobank Munich coordinates the German national brain tissue bank (BrainNet) and the European brain tissue bank (BrainNet Europe).
Proper citation: NeuroBiobank Munich (RRID:SCR_005014) Copy
http://udn.nichd.nih.gov/brainatlas_home.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 1, 2019. The first brain atlas for the common marmoset to be made available since a printed atlas by Stephan, Baron and Schwerdtfeger published in 1980. It is a combined histological and magnetic resonance imaging (MRI) atlas constructed from the brains of two adult female marmosets. Histological sections were processed from Nissl staining and digitized to produce an atlas in a large format that facilitates visualization of structures with significant detail. Naming of identifiable brain structures was performed utilizing current terminology. For the present atlas, an adult female was perfused through the heart with PBS followed by 10% formalin. The brain was then sent to Neuroscience Associates of Knoxville, TN, who prepared the brain for histological analysis. The brain was cut in the coronal (frontal) plane at 40 microns, every sixth section stained for Nissl granules with thionine and every seventh section stained for myelinated fibers with the Weil technique. The mounted sections were photographed at the NIH (Medical Arts and Photography Branch). The equipment used was a Nikon Multiphot optical bench with Zeiss Luminar 100 mm lens, and scanned with a Better Light 6100 scan back driven by Better Light Viewfinder 5.3 software. The final images were saved as arrays of 6000x8000 pixels in Adobe Photoshop 6.0. A scale in mm provided with these images permitted construction of the final Nissl atlas files with a horizontal and vertical scale. Some additional re-touching (brightness and contrast) was done with Adobe Photoshop Elements 2.0. The schematic (labeled) atlas plates were created from the Nissl images. The nomenclature came almost exclusively from brainmaps.org, where a rhesus monkey brain with structures labeled can be found. The labels for the MRI images were placed by M. R. Zametkin, under supervision from Dr. Newman.
Proper citation: Brain atlas of the common marmoset (RRID:SCR_005135) Copy
http://www.alzheimersinfo.org/research.html
A brain bank which has obtained brains from individuals who suffered from some form of dementia. Clinical records and a family history are obtained for each donor in order to better understand each dementing illness and to work towards the improvement of diagnosing, treating, and preventing these diseases.
Proper citation: Dementia Brain Bank Research Program (RRID:SCR_005129) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 28,2025. The Stroke Patient Recovery Research Database (SPReD) initiative creates the infrastructure needed for the collection of a wide range of data related to stroke risk factors and to stroke recovery. It also promotes the analysis and management of large brain and vessel images. A major goal is to create a comprehensive electronic database Stroke Patient Recovery Research Database or SPReD and populate it with patient data, including demographic, biomarker, genetic and proteomic data and imaging data. SPReD will enable us to combine descriptions of our stroke patients from multiple projects that are geographically distributed. We will do this in a uniform fashion in order to enhance our ability to document rates of recovery; to study the effects of vascular risk factors and inflammatory biomarkers; and to use these data to improve their physical and cognitive recovery through innovative intervention programs. This comprehensive database will provide an integrated repository of data with which our researchers will investigate and test original ideas, ultimately leading to knowledge that can be applied clinically to benefit stroke survivors.
Proper citation: Stroke Patient Recovery Research Database (SPReD) (RRID:SCR_005508) Copy
https://github.com/openconnectome/Rambo3D
A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels.
Proper citation: Rambo3D (RRID:SCR_006357) Copy
Center dedicated to understanding and treatment of neurological diseases by creating and using imaging methods to study human nervous system. Dedicated to research imaging of human brain. Brain structure is imaged using anatomical Magnetic Resonance Imaging (aMRI) while brain physiology is imaged using Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS), functional MRI (fMRI) and magnetoencephalography (MEG). BIC maintains linkages with clinical, clinical research and basic research communities within Montreal Neurological Institute (MNI), McGill University and has collaborations across Quebec, Canada, USA and internationally.
Proper citation: McConnell Brain Imaging Center (RRID:SCR_008364) Copy
http://www.nitrc.org/projects/brainvox/
An interactive 3D rendering and neuroanatomical analysis package developed for analyzing focal brain lesions and functional brain imaging data (Damasio and Frank, 1991; Frank, Damasio and Grabowski, 1997).
Proper citation: Brainvox (RRID:SCR_009448) Copy
http://www.bic.mni.mcgill.ca/ServicesAtlases/Cyno
A reference atlas of cynomolgus macaque monkey magnetic resonance images. The template brain volume that offers a common stereotaxic reference frame to localize anatomical and functional information in an organized and reliable way for comparison across individual cynomolgus monkeys and studies. We have used MRI volumes from a group of 18 normal adult cynomulgus monkeys (Macaca fascicularis) to create the individual atlas. Thus, the atlas does not rely on the anatomy of a single subject, but instead depends on nonlinear normalization of numerous cynomolgus monkey brains mapped to an average template image that is faithful to the location of anatomical structures. Tools for registering a native MRI to the cynomolgus macaque atlas can be found in the Software section. Viewing the atlas and associated volumes online requires Java browser support. Additionally, you may download the atlas and associated files in your chosen format.
Proper citation: McConnell Brain Imaging Center MNI Cynomolgus Macaque Atlas (RRID:SCR_008793) Copy
http://www.bic.mni.mcgill.ca/ServicesAtlases/NIHPD-obj2
An unbiased magnetic resonance imaging template brain volume for pediatric data from birth to 4.5y age range. These volumes were created using 317 scans from 108 children enrolled in the NIH-funded MRI study of normal brain development (Almli et al., 2007, Evans and Group 2006). Templates are constructed for different age ranges. Each age range includes an average T1w, T2w, PDw maps normalized between 0 and 100. Also each age range includes a binary brain mask. Tools for using these atlases can be found in the Software section.
Proper citation: NIHPD Objective 2 atlases (birth - 4.5 years) (RRID:SCR_008795) Copy
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