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https://abctb.org.au/abctbNew2/default.aspx

A tissue bank which houses and supplies cancerous tissue for use by the research community. Along with tissue, the bank collects clinical history, lifestyle factors, breast pathology, treatment information, and follow up information.

Proper citation: Australia Breast Cancer Tissue Bank (RRID:SCR_000926) Copy   

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http://www.catstests.com/Product09.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Memory impairment is one of the most common complaints after head injury, and accordingly, individuals may attempt to feign memory impairment or exaggerate symptoms of memory impairment. This free neuropsychological evaluation software contains some of the most common tests used to detect malingering of memory impairment. This software package contains a number of tests of declarative memory that assess recall of information that has a personal and temporal context. The typical example of declarative tests used for detecting malingering are the auditory verbal learning test and forced choice test. These tests are included in Symptom Validity along with other tests of declarative memory (e.g., prose recall, questionnaire tests). Unfortunately, classification of individuals is not completely accurate even with the use of multiple declarative memory tests. Thus, other tests that can complement previously used declarative memory measures by enhancing classification accuracy may be of great value to the neuropsychologist assessing the possibility of malingering. Your software contains two tests of nondeclarative memory that have been previously shown to be useful in the detection of malingered memory deficits (Davis et al., 1997a, 1997b). These tests take advantage of the general laypersons misunderstanding of the test performance of a truly memory impaired individual. That is, amnesic patients have been shown to perform normally on these nondeclarative memory tests and this is counterintuitive to the memory performance expectations of the general layperson. The nondeclarative tests included in Symptom Validity are two repetition priming tests of word stem completion and two tests of pattern categorization learning. Note: At this time this program will run only on Windows 98. We are currently working on a version that will run under the newer operating systems.

Proper citation: Colorado Assessment Tests - Symptom Validity (RRID:SCR_003520) Copy   

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http://www.catstests.com/Product07.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The modifiable n-Back test is free software presumed to measure executive control of the updating of information in working memory. The task requires the participant to monitor some dimension (e.g. content, position, numerosity) of a temporally present sequence of items, responding when the currently presented item matches on the relevant dimension an item that was just recently presented. The match can be with an item present either 1 back, 2 back, 3 back or n back. Considerable flexibility is provided to the experimenter in specifying various parameters of the experiment (e.g. presentation rate, n back, content, position, color). The n-Back test is presumed to measure executive control of the updating of information in working memory. (Shimamura, 2000) Watter, Geffen and Geffen (2001) based on their work with the P300 event-related-potential have suggested that the n-Back is a dual task in that latencies of the P300 did not change with increasing task difficulty, that is memory load while amplitude did reflecting in their view a reallocation of attention and processing capacity away from the matching subtask. The n-Back task is one in which the participant is presented a series of stimuli at a constant rate. The task of the participant is to determine if the currently presented stimulus is similar (along some dimension) to one they have recently (usually one, two or three positions back) seen in the stream. Match criteria can be dimensions like material, position on the screen, color or some combination. CATs n-Back allows for substantial control over the position in which the material is presented (nine different positions), the nature of the material (any character or dingbat string, and any color. The experimenter can set the speed at which the sequence is presented including both the stimulus on time and the inter-stimulus interval. Participant responses can be made either using the keyboard or the mouse. At this time no normative data is available for this test.

Proper citation: Colorado Assessment Tests: n-Back (RRID:SCR_003517) Copy   

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http://cancer.case.edu/research/sharedresources/tissue/services/

A combined tissue bank and core facility which provides annotated human tissue samples for research purposes. The facility also offers high quality tissue procurement, tissue microarray, histology, immunohistochemistry, photomicroscopy, and laser capture microdissection services for both human and animal tissues to biomedical investigators conducting non-clinical research studies. The TPHC offers instruction to researchers on how to incorporate human tissue into research activities and how to work within the boundaries of patient confidentiality and other regulatory issues. The purpose of the TPHC is to provide tissue collection and processing services to intramural and extramural researchers studying cancer and other diseases. Normal, diseased, benign and malignant tissues are obtained, and matched normal adjacent tissues and tissues from different organ sites from the same donor can also be provided when available. Tissue samples are prepared according to user-specified protocols and can be fresh in a medium of choice, fixed in formalin, quick frozen in the vapor phase of liquid nitrogen or snap-frozen by plunging the sample into liquid nitrogen. Frozen tissues are held in the vapor phase of the liquid nitrogen. Tissues can also be embedded, cut and mounted on slides, and stained upon request. Tissue Microarray (TMA) services are offered for the design and construction of TMAs meeting specific project needs. Basic demographic data (age, race, gender) and histopathologic data from Surgical Pathology Reports are provided by the TPHC with the tissues.

Proper citation: Case Western Reserve Tissue Procurement and Histology Core Facility (RRID:SCR_005344) Copy   

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https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT

Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.

Proper citation: XTRACT (RRID:SCR_024933) Copy   

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https://www.youtube.com/user/iniusc

Videos uploaded to YouTube by the Laboratory of Neuro Imaging (LONI). The Laboratory of Neuro Imaging at UCLA strives to improve our understanding of the brain in health and disease. LONI is a leader in the development of advanced computational algorithms and scientific approaches for the comprehensive and quantitative mapping of brain structure and function.

Proper citation: Laboratory of Neuro Imaging - YouTube (RRID:SCR_005462) Copy   

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https://gitlab.com/rosen-lab/white-adipose-atlas

Single cell atlas of human and mouse white adipose tissue.

Proper citation: White Adipose Atlas (RRID:SCR_023625) Copy   

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http://www.catstests.com/Product05.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. CATs Card Sort is a free, general purpose card sorting program which allows the user to design sorting tasks similar to those described by Vigotsky (1934), Weigel (1941), and Grant and Berg (1948). Card sorting tasks have been shown to be particularly sensitive to frontal lobe dysfunction, but have also shown sensitivity to motor disorders, schizophrenia, chronic alcoholism, aging, and attention deficit disorder. The CATs Card Sort package provides extensive flexibility in the development of stimulus cards, allowing the experimenter to define the relevant dimensions of cards in terms of figures, letters or words, figure/letter/word color, card color, figure/letter numerosity, and a user defined dimension. Considerable flexibility is also provided in designing lists of to be sorted cards, sort criteria, and the criteria for sort classification shift. The package also provides limited analysis capabilities as described by Grant and Berg (1948). However, as with all CATs packages raw data can be copied to the clipboard in a format acceptable for import into commonly available spreadsheets such as Excel allowing the user to design analysis routines appropriate to their needs.

Proper citation: Colorado Assessment Tests - Card Sort (RRID:SCR_007331) Copy   

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http://dunham.gs.washington.edu/protocols.shtml

A portal for Maitreya Dunham's lab, which works on the genomic analysis of experimental evolution in yeast using microarrays and the chemostat. Research interests of the lab include experimental evolution of genetic networks in yeast, aneuploidy and copy number variation, comparative genomics, technology development and human genetics in yeast.

Proper citation: Maitreya Dunham's Lab (RRID:SCR_000784) Copy   

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http://cmrm.med.jhmi.edu/cmrm/atlas/human_data/file/JHUtemplate_newuser.html

DTI white matter atlases with different data sources and different image processing. These include single-subject, group-averaged, B0 correction, processed atlases (White Matter Parcellation Map, Tract-probability maps, Conceptual difference between the WMPM and tract-probability maps), and linear or non-linear transformation for automated white matter segmentation. # Adam single-subject white matter atlas (old version): These are electronic versions of atlases published in Wakana et al, Radiology, 230, 77-87 (2004) and MRI Atlas of Human White Matter, Elsevier. ## Original Adam Atlas: 256 x 256 x 55 (FOV = 246 x 246 mm / 2.2 mm slices) (The original matrix is 96x96x55 (2.2 mm isotropic) which is zerofilled to 256 x 256 ## Re-sliced Adam Atlas: 246 x 246 x 121 (1 mm isotropic) ## Talairach Adam: 246 x 246 x 121 (1 mm isotropic) # New Eve single-subject white matter atlas: The new version of the single-subject white matter atlas with comprehensive white matter parcellation. ## MNI coordinate: 181 x 217 x 181 (1 mm isotropic) ## Talairach coordinate: 181 x 217 x 181 (1 mm isotropic) # Group-averaged atlases: This atlas was created from their normal DTI database (n = 28). The template was MNI-ICBM-152 and the data from the normal subjects were normalized by affine transformation. Image dimensions are 181x217x181, 1 mm isotropic. There are two types of maps. The first one is the averaged tensor map and the second one is probabilistic maps of 11 white matter tracts reconstructed by FACT. # ICBM Group-averaged atlases: This atlas was created from ICBM database. All templates follow Radiology convention. You may need to flip right and left when you use image registration software that follows the Neurology convention.

Proper citation: DTI White Matter Atlas (RRID:SCR_005279) Copy   

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http://learn.genetics.utah.edu/content/addiction/

A physiologic and molecular look at drug addiction involving many factors including: basic neurobiology, a scientific examination of drug action in the brain, the role of genetics in addiction, and ethical considerations. Designed to be used by students, teachers and members of the public, the materials meet selected US education standards for science and health. Drug addiction is a chronic disease characterized by changes in the brain which result in a compulsive desire to use a drug. A combination of many factors including genetics, environment and behavior influence a person's addiction risk, making it an incredibly complicated disease. The new science of addiction considers all of these factors - from biology to family - to unravel the complexities of the addicted brain. * Natural Reward Pathways Exist in the Brain: The reward pathway is responsible for driving our feelings of motivation, reward and behavior. * Drugs Alter the Brain's Reward Pathway: Drugs work over time to change the reward pathway and affect the entire brain, resulting in addiction. * Genetics Is An Important Factor In Addiction: Genetic susceptibility to addiction is the result of the interaction of many genes. * Timing and Circumstances Influence Addiction: If you use drugs when you are an adolescent, you are more likely to develop lifetime addiction. An individual's social environment also influences addiction risk. * Challenges and Issues in Addiction: Addiction impacts society with many ethical, legal and social issues.

Proper citation: New Science of Addiction: Genetics and the Brain (RRID:SCR_002770) Copy   

•   Source: SciCrunch Registry

http://www.cognitiveatlas.org/

Knowledge base (or ontology) that characterizes the state of current thought in cognitive science that captures knowledge from users with expertise in psychology, cognitive science, and neuroscience. There are two basic kinds of knowledge in the knowledge base. Terms provide definitions and properties for individual concepts and tasks. Assertions describe relations between terms in the same way that a sentence describes relations between parts of speech. The goal is to develop a knowledge base that will support annotation of data in databases, as well as supporting improved discourse in the community. It is open to all interested researchers. A fundamental feature of the knowledge base is the desire and ability to capture not just agreement but also disagreement regarding definitions and assertions. Thus, if you see a definition or assertion that you disagree with, then you can assert and describe your disagreement. The project is led by Russell Poldrack, Professor of Psychology and Neurobiology at the University of Texas at Austin in collaboration with the UCLA Center for Computational Biology (A. Toga, PI) and UCLA Consortium for Neuropsychiatric Phenomics (R. Bilder, PI). Most tasks used in cognitive psychology research are not identical across different laboratories or even within the same laboratory over time. A major advantage of anchoring cognitive ontologies to the measurement level is that the strategy for determining changes in task properties is easier than tracking changes in concept definitions and usage. The process is easier because task parameters are usually (if not always) operationalized objectively, offering a clear basis to judge divergence in methods. The process is also easier because most tasks are based on prior tasks, and thus can more readily be considered descendants in a phylogenetic sense.

Proper citation: Cognitive Atlas (RRID:SCR_002793) Copy   

•   Source: SciCrunch Registry

http://www.vph-noe.eu/

The VPH NoE is a project which aims to help support and progress European research in biomedical modeling and simulation of the human body. This project will improve our ability to predict, diagnose and treat disease, and have a dramatic impact on the future of healthcare, the pharmaceutical and medical device industries. The VPH Network of Excellence (VPH NoE) is designed to foster, harmonize and integrate pan-European research in the field of i) patient-specific computer models for personalised and predictive healthcare and ii) ICT-based tools for modeling and simulation of human physiology and disease-related processes. The main objectives of the VPH Network of Excellence are to support the: :- Coordination of research portfolios of VPH NoE partners through initiation of Exemplar integrative research projects that encourage inter-institution and interdisciplinary VPH research; :- Integration of research infrastructures of VPH NoE partners through development of the VPH ToolKit: a shared and mutually accessible source of research equipment, managerial and research infrastructures, facilities and services; :- Development of a portfolio of interdisciplinary training activities including a formal consultation on, and assessment of, VPH careers; :- Establishment of a core set of VPH-related dissemination and networking activities which will engage everyone from partners within the VPH NoE/other VPH projects, to national policy makers, to the public at large; :- Creation of Industrial, Clinical and Scientific Advisory Boards that will jointly guide the direction of the VPH NoE and, through consultation, explore the practical and legal options for real and durable integration within the VPH research community; :- Implementation of key working groups that will pursue specific issues relating to VPH, notably integrating VPH research worldwide through international physiome initiatives. Finally, by involving clinical and industrial stakeholders, VPH NoE also plans to lay a reliable ground to support sustainable interactions and collaboration between research and healthcare communities. Virtual Physiological Human lists, as its main target outcome, patient-specific computer models for personalized and predictive healthcare and ICT-based tools for modeling and simulation of human physiology and disease-related processes. Collaborative projects (IPs and STREPs) within the call will meet specific objectives, addressing: patient-specific computational modeling and simulation of organs or systems data integration and new knowledge extraction and clinical applications and demonstration of tangible benefits of patient-specific computational models. The networking action outlined within the call - the VPH NoE - should serve to connect these efforts, and lay the foundations for the methodological and technical framework to support such research. It should also build on previous EC investment in this field, including the outcomes of VPH type' projects funded within the EU Sixth Framework Programme, and through other National and International initiatives. The Virtual Physiological Human Network of Excellence (VPH NoE) has been designed with "service to the community" of VPH researchers as its primary purpose. Its aims range from the development of a VPH ToolKit and associated infrastructural resources, through integration of models and data across the various relevant levels of physiological structure and functional organization, to VPH community building and support. The VPH NoE aims to foster the development of new and sustainable educational, training and career structures for those involved in VPH related science, technology and medicine. The VPH NoE constitutes a leading group of universities, institutes and organizations who will, by integrating their experience and ongoing activities in VPH research, promote the creation of an environment that actively supports and nurtures interdisciplinary research, education, training and strategic development. The VPH NoE will lead the coordination of diverse activities within the VPH Initiative to help deliver: new environments for predictive, patient-specific, evidence-based, more effective and safer healthcare; improved semantic interoperability of biomedical information and contribution to a common health information infrastructure; facile, on-demand access to distributed European computational infrastructure to support clinical decision making; and increased European multidisciplinary research excellence in biomedical informatics and molecular medicine by fostering closer cooperation between ICT, medical device, medical imaging, pharmaceutical and biotech companies. The VPH NoE will connect the diverse VPH Initiative projects, including not only those funded as part of the VPH initiative but also those of previous EC frameworks and national funding schemes, together with industry, healthcare providers, and international organizations, thereby ensuring that these impacts will be realized. VPH NoE work packages and project structure The VPH NoE activities are divided between five main work packages (follow the links at the top of the page for more information on each). In brief, the focus of each work package is as follows: -Work package 1: Network Management -Work package 2: VPH NoE Exemplar Projects -Work package 3: VPH NoE ToolKit development -Work package 4: VPH NoE Training and Career Development -Work package 5: Spreading Excellence within the VPH NoE and VPH-I In view of its role as the networking action for the VPH Initiative, all VPH NoE activities have been designed to serve and interconnect not only the VPH NoE core members, but also the projects funded within the VPH call (VPH-I) and the wider research community. Key activities which the VPH NoE will pursue, in support of the development of a research environment which facilitates integrative, interdisciplinary and multilevel VPH research, are: -Support for integrative research -Training and dissemination activities -Networking activities Sponsors: VPH NoE is supported by The Directorate-General Research (DG RTD) and The Directorate-General Information Society and Media (DG INFSO).

Proper citation: Virtual Physiological Human Network of Excellence (RRID:SCR_002855) Copy   

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http://www.ambystoma.org/

Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network.

Proper citation: Sal-Site (RRID:SCR_002850) Copy   

•   Source: SciCrunch Registry

http://cbio.mskcc.org/

Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling

Proper citation: Computational Biology Center (RRID:SCR_002877) Copy   

•   Source: SciCrunch Registry

http://www.ouhsc.edu/compmed/documents/DevelopmentofaSpecificPathogenFreeBaboonColony.pdf

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. Program developing a self-sustaining colony of baboons free of all known herpesviruses, four retroviruses, and SV40 for research. When the program is fully developed, they will provide healthy, behaviorally normal, SPF baboons that are free of all known herpes viruses, four retroviruses, and SV40. To accomplish this goal, the center has established in collaboration with co-investigators and consultants serological and PCR tests for each of the 11 target viruses. These baboon viruses include six herpesviruses (analogs of human HSV, VZV, CMV, HHV6, EBV, and HHV8), four retroviruses (simian foamy virus, SRV/D, SIV, and STLV), and SV40. Twenty-four infant baboons are being recruited into the SPF program in each of the first five years, for a final total of at least 66 SPF baboons. All infants will be repeatedly tested for each of the target viruses. At one month of age, larger social groups of 4-6 SPF animals are formed. Beginning at 2-3 years of age, SPF animals will be integrated into larger socially compatible groups. These groups will eventually mature into breeding harems of SPF animals. This approach provides infants with age-matched companions for socialization during their early period of development, minimizes opportunities for transmission of viruses to the infants from adult animals, and allows for the simultaneous elimination of many different viruses from SPF animals.

Proper citation: Development of a Specific-Pathogen-Free Baboon Colony (RRID:SCR_002900) Copy   

•   Source: SciCrunch Registry

https://www.msu.edu/~brains/index.html

The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. Atlases and brain sections are available for a variety of mammals, and we are also developing a series of labeled atlases of stained sections for educators, students, and researchers. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan. What we are doing currently at Michigan State is a series of demonstration projects for publicizing the contents of the collections and ways in which they can be used. For example, the images from the collection can be used for comparative brain study. We have prepared databases of the contents of the collections for presentation and use on this site, as well as for downloading by users in several formats. We are also developing a series of labeled atlases of stained sections for educators, students, and researchers. This internet site is associated with the Comparative Mammalian Brain Collections site. All of the images are in JPEG or GIF format.

Proper citation: Michigan State University Brain Biodiversity Bank (RRID:SCR_003289) Copy   

•   Source: SciCrunch Registry

http://en.wikibooks.org/wiki/Human_Physiology

Human Physiology is a featured book on Wikibooks because it contains substantial content, it is well-formatted, and the Wikibooks community has decided to feature it on the main page or in other places. Please continue to improve it and thanks for the great work so far! A printable and PDF version are available. You can edit its advertisement template. Contents: 1. Homeostasis 2. Cell Physiology 3. Integumentary System 4. The Nervous System 5. Senses 6. The Muscular System 7. Blood Physiology 8. The Cardiovascular System 9. The Immune System 10. The Urinary System 11. The Respiratory System 12. The Gastrointestinal System 13. Nutrition 14. The Endocrine System 15. The Male Reproductive System 16. The Female Reproductive System 17. Pregnancy and Birth 18. Genetics and Inheritance 19. Development: Birth through Death 20. Appendix 1: Answers to Review Questions 21. Authors 22. Further Reading

Proper citation: Human Physiology (RRID:SCR_003525) Copy   

•   Source: SciCrunch Registry

http://national_databank.mclean.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. A publicly accessible data repository to provide neuroscience investigators with secure access to cohort collections. The Databank collects and disseminates gene expression data from microarray experiments on brain tissue samples, along with diagnostic results from postmortem studies of neurological and psychiatric disorders. All of the data that is derived from studies of the HBTRC collection is being incorporated into the National Brain Databank. This data is available to the general public, although strict precautions are undertaken to maintain the confidentiality of the brain donors and their family members. The system is designed to incorporate MIAME and MAGE-ML based microarray data sharing standards. Data from various types of studies conducted on brain tissue in the HBTRC collection will be available from studies using different technologies, such as gene expression profiling, quantitative RT-PCR, situ hybridization, and immunocytochemistry and will have the potential for providing powerful insights into the subregional and cellular distribution of genes and/or proteins in different brain regions and eventually in specific subregions and cellular subtypes.

Proper citation: National Brain Databank (RRID:SCR_003606) Copy   

•   Source: SciCrunch Registry

http://spot.colorado.edu/~dubin/talks/brodmann/brodmann.html

Reference atlas of Brodmann Areas in the Human Brain with an Emphasis on Vision and Language. Other Pages include: Flat Brodmann Maps, Brodmann Area Names (with locational Descriptions), Flat Visual Area Maps, Language Areas, PopUp Gyri Maps

Proper citation: Brodmann Areas in the Human Brain with an Emphasis on Vision and Language (RRID:SCR_004857) Copy   

•   Source: SciCrunch Registry