Tools   Select Another Resource Report Type

http://trans.nih.gov/bmap/index.htm

The Brain Molecular Anatomy Project is a trans-NIH project aimed at understanding gene expression and function in the nervous system. BMAP has two major scientific goals: # Gene discovery: to catalog of all the genes expressed in the nervous system, under both normal and abnormal conditions. # Gene expression analysis: to monitor gene expression patterns in the nervous system as a function of cell type, anatomical location, developmental stage, and physiological state, and thus gain insight into gene function. In pursuit of these goals, BMAP has launched several initiatives to provide resources and funding opportunities for the scientific community. These include several Requests for Applications and Requests for Proposals, descriptions of which can be found in this Web site. BMAP is also in the process of establishing physical and electronic resources for the community, including repositories of cDNA clones for nervous system genes, and databases of gene expression information for the nervous system. Most of the BMAP initiatives so far have focused on the mouse as a model species because of the ease of experimental and genetic manipulation of this organism, and because many models of human disease are available in the mouse. However, research in humans, other mammalian species, non-mammalian vertebrates, and invertebrates is also being funded through BMAP. For the convenience of interested investigators, we have established this Web site as a central information resource, focusing on major NIH-sponsored funding opportunities, initiatives, genomic resources available to the research community, courses and scientific meetings related to BMAP initiatives, and selected reports and publications. When appropriate, we will also post initiatives not directly sponsored by BMAP, but which are deemed relevant to its goals. Posting decisions are made by the Trans-NIH BMAP Committee

Proper citation: BMAP - Brain Molecular Anatomy Project (RRID:SCR_008852) Copy   

•   Source: SciCrunch Registry

http://www.ohsu.edu/xd/health/services/brain/

A clinical care and research center for neurological conditions such as Alzheimer's, dementia and seizure disorders. It provides a dynamic setting for training healthcare professionals and neuroscience researchers to develop and implement evidence-based treatment.

Proper citation: OHSU Brain Institute (RRID:SCR_008932) Copy   

•   Source: SciCrunch Registry

http://gero.usc.edu/CBPH/network/index.shtml

A network to improve measurement of biological risk for late life health outcomes in large representative samples of populations. Activities of the network include designing and carrying out a series of focused meetings, interactive activities, workshops, and pilot projects to harmonize and develop measurement of biological risk in populations. This project will improve the methods of measuring health used in populations and improve comparability of results over time and across studies, which is important for monitoring population health. Biological risk represents objective measurement of major dimensions of population health. The level of risk can indicate the health of the population, need for health care treatment in a population, and the effectiveness of that treatment in controlling risk or delaying disease progression, and death. The measurement of biological risk in large populations often requires adoption of methods not used in laboratory settings. The overarching goal of the network is to promote interdisciplinary research that clarifies the biological paths to health outcomes that can be measured or monitored in population surveys. The network will address the following questions: * What array of biological markers can be included reliably and validly in population studies in order to better monitor health and predict health outcomes at the older ages? * What are the best methods of collecting biological risk information under a variety of circumstances? * What are the best methods for processing the biological risk information collected? * What methods of harmonization will allow us to compare biological risk across studies? * What are the best approaches to measurement of cumulative biological risk or dimensions of biological risk for a variety of health outcomes in a variety of settings? * What are the best approaches in including indicators of genetic risk for complex diseases and conditions into data from population-based surveys? * How do we best capture indicators of life-long social, psychological and economic conditions along with lifelong biological risk to explain later life health outcomes? * What particular ethical issues are posed by our linking of biological data to extensive social, psychological, and economic information? A dataset of descriptions of Selected Population Studies with Biomarkers is available.

Proper citation: Biomarker Network (RRID:SCR_008951) Copy   

•   Source: SciCrunch Registry

http://sageweb.org/

A resource center that distributes important resources to the biogerontological community and facilitates interactions and collaborative efforts amongst researchers to aid biogerontologists and enhance research into the basic biology of aging. They aim to make SAGEWEB the premier aging-related website containing a variety of different content types including: * Databases related to the basic biology of aging * Software and bioinformatic tools for aging-related science * Educational tools for teachers and students interested in aging biology * Primers on important topics in aging-related science * Videos and podcasts of aging-related topics * Aging-related discussion forums and blogs * Links to additional aging-related labs, conferences, and resources

Proper citation: Sageweb (RRID:SCR_010217) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/w2mhs/

An open source MATLAB toolbox designed for detecting and quantifying White Matter Hyperintensities(WMH) in Alzheimer?s and aging related neurological disorders.Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. WMHs arise as bright regions on T2-weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer?s disease (AD) with regard to its prognosis.

Proper citation: Wisconsin White Matter Hyperintensities Segmentation Toolbox (RRID:SCR_009652) Copy   

•   Source: SciCrunch Registry

http://link.springer.com/article/10.1007%2Fs11357-003-0002-y

A database that stores information on the biomolecules which are modulated during aging and by caloric restriction (CR). To enhance its usefulness, data collected from studies of CR''''s anti-oxidative action on gene expression, oxidative stress, and many chronic age-related diseases are included. AgingDB is organized into two sections A) apoptosis and the various mitochondrial biomolecules that play a role in aging; B) nuclear transcription factors known to be_sensitive to oxidative environment. AgingDB features an imagemap of biomolecular signal pathways and visualized information that includes protein-protein interactions of biomolecules. Authorized users can submit a new biomolecule or edit an existing biomolecule to reflect latest developments.

Proper citation: AgingDB (RRID:SCR_010226) Copy   

•   Source: SciCrunch Registry

http://alzheimer.ucdavis.edu/research/resources.php#tissue

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Support research in Alzheimer's disease (AD) offering pilot grants, recruitment of research subjects, access to database, tissue samples, and statistical and research study design consultation for investigators. The scientific effort of the program seeks to: promote research directed at understanding factors that influence the expression and progression of Alzheimer's disease; develop and maintain cohorts of carefully diagnosed and well characterized research subjects available for research studies on Alzheimer's disease and dementia; provide support to investigators in subject recruitment, clinical research, experimental design, and statistical analysis of data; and maintain a variety of samples (brain, DNA, serum) and an extensive electronic database suitable for developing new research and supporting existing programs.

Proper citation: UC Davis Alzheimers Disease Center - Resources (RRID:SCR_010699) Copy   

•   Source: SciCrunch Registry

http://adni-info.org/

Database of the results of the ADNI study. ADNI is an initiative to develop biomarker-based methods to detect and track the progression of Alzheimer's disease (AD) that provides access to qualified scientists to their database of imaging, clinical, genomic, and biomarker data.

Proper citation: ADNI - Alzheimer's Disease Neuroimaging Initiative (RRID:SCR_003007) Copy   

•   Source: SciCrunch Registry

http://www.nottingham.ac.uk/medicine/research/index.aspx

A school for education on community health sciences based out of the University of Nottingham. The school contains the divisions of epidemiology, public health, primary care, psychiatry, rehabilitation and aging. The common thread running through each of these divisions is that they all deal with communities, whether these be the entire populations of a region or country, or particular patient groups such as the mentally ill, people with disabilities, and elderly people.

Proper citation: Community Health Sciences (RRID:SCR_000794) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/NACDA/

Archive of data relevant to gerontological and aging research. Used to advance research on aging. Subjects include demographic, social, economic, and psychological characteristics of older adults, physical health and functioning of older adults, and health care needs of older adults. NACDA staff represents team of professional researchers, archivists and technicians who work together to obtain, process, distribute, and promote data relevant to aging research.

Proper citation: National Archive of Computerized Data on Aging (NACDA) (RRID:SCR_005876) Copy   

•   Source: SciCrunch Registry

https://www.jax.org/news-and-insights/2004/june/app-mouse-models-for-alzheimers-disease-research

An information resource about several models for mice to develop Alzheimer's-related characteristics as they age.

Proper citation: Mouse Models For Alzheimer's Disease Research (RRID:SCR_000708) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-13/search?q=*

A virtual database created by the Neuroscience Information Framework currently indexing Scientific Blog and News resources such as: Nature Network Blogs, Wired Science Blogs, The Guardian: Science, It Takes 30, Scientific American Cross-Check, Scientific American Bering in Mind, Research Blogging, CENtral Science, ScienceBlogs: Medicine and Health, American Guest Blog, Scientific American Observations, LabSpaces, RetractionWatch.com, Wired Science, Genomes Unzipped, PLoS Blogs, Daring Nucleic Adventures - genegeek, H2SO4Hurts - Brian Krueger PhD, and Sciblogs.

Proper citation: Integrated Blogs (RRID:SCR_005386) Copy   

•   Source: SciCrunch Registry

http://scienceblogs.com/neurotopia/

A neuro blog that is no longer updated but has interesting archives. Categories: * Academia * Activism * Addiction * Aging/Gerontology * Basic Science Posts * Behavioral Neuro * Blog Carnivals * CNS Diseases and Disorders * Cognition * Creationism / Intelligent Design * Evil Journal Club * Evolution * Friday Weird Science * Health Care / Medicine * Menopause * Natural Sciences * Neuroanatomy * Neuroscience * Philosophy * Physiology / Pharmacology * Politics/Policy * Primatology * Religion * Rocket Surgery * Samsara * SchadenFriday * Synaptic Misfires

Proper citation: ScienceBlogs Neurotopia (RRID:SCR_008934) Copy   

•   Source: SciCrunch Registry

http://brainmap.wisc.edu/monkey.html

NO LONGER AVAILABLE. Documented on September 17, 2019. A set of multi-subject atlas templates to facilitate functional and structural imaging studies of the rhesus macaque. These atlases enable alignment of individual scans to improve localization and statistical power of the results, and allow comparison of results between studies and institutions. This population-average MRI-based atlas collection can be used with common brain mapping packages such as SPM or FSL.

Proper citation: Rhesus Macaque Atlases for Functional and Structural Imaging Studies (RRID:SCR_008650) Copy   

•   Source: SciCrunch Registry

http://blog.clearscience.io/

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 27, 2015. Infrastructure for more effective scientific communication by leveraging the open APIs of GitHub, Amazon Web Services, and Synapse, clearScience demonstrates how scientists can easily transition from exploring dataexecuting scienceand providing the scientific community all the resources and artifacts to recreate analyses. By capturing the complete lifecycle of a project, reproducibility becomes a byproduct rather than a burden of publication. Further, we provide for forking an analysis, allowing anyone to explore and elaborate on "published" work. If the goal of biomedical research is to deliver results that will ultimately alleviate suffering and minimize harm to patients, being able to transparently share, reproduce, and build off of one another's work is critical to scientific progress. clearScience represents one compelling model for facilitating this progress.

Proper citation: clearScience (RRID:SCR_008958) Copy   

•   Source: SciCrunch Registry

http://www.mouse-genome.bcm.tmc.edu/ENU/MutagenesisProj.asp

THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval.

Proper citation: Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) Copy   

•   Source: SciCrunch Registry

http://mrtools.mgh.harvard.edu/index.php/TBR

A tool for functional connectivity analysis of fcMRI data that maps functional data from individual sessions onto a priori spatial components from group level parcellations.

Proper citation: Template Based Rotation (RRID:SCR_012157) Copy   

•   Source: SciCrunch Registry

http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Dataset of structural MR images of 70 subjects collected during 2008-2010 across a wide range of ages. The dataset also contains resting state fMRI for most subjects. The structural images are T1 weighted, T2 weighted-FLAIR, 25 direction DTI, and the T1 mapping DESPOT [1] sequence. Reconstructed T1 maps for each subject are also available. The aquisition protocol was designed to study structural differences between young and older adults including both shape and intensity changes. Anonymized DICOM image sessions and processed images for each subject are available. The data is licensed under the Creative Commons Attribution License. It may be used freely for commercial, academic, or other use, as long as the original source is properly cited. http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Proper citation: Age Related Atrophy Dataset (RRID:SCR_009528) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   

•   Source: SciCrunch Registry