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http://www.yahrparkinson.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2017. Foundation that helps junior physicians and neuroscientists continue their research on Parkinson's Disease and related disorders, with financial support for professional and intellectual development. It promotes an international community of researchers, focusing on the young enthusiastic investigators and clinicians who might otherwise be forced to abandon their ideas and efforts.

Proper citation: Melvin Yahr International Parkinson's Disease Foundation (RRID:SCR_001652) Copy   

•   Source: SciCrunch Registry

http://www.parkinson.ca

A not-for-profit, volunteer based charity whose purpose is to find a cure for Parkinson's disease through research, advocacy, education and support services. Parkinson Society Canadas leads initiatives that include: raising funds for research through national events; funding research, movement disorder clinics, and outreach programs across Canada; staffing a national Information and Referral Centre; developing educational and information materials; providing up to date detailed information about Parkinson's disease; and providing support for regional partners to better meet the needs of people living with Parkinson's services. Researchers can apply for various funding awards and fellowships by following the funding process outlined by Parkinson Society Canada.

Proper citation: Parkinson Society Canada (RRID:SCR_002014) Copy   

•   Source: SciCrunch Registry

https://www.wtccc.org.uk/

Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.

Proper citation: Wellcome Trust Case Control Consortium (RRID:SCR_001973) Copy   

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http://med.emory.edu/ADRC/research/core_neurology_database.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 9, 2025. A database which retains extensive clinical information about study subjects recruited by the Alzheimer's Disease Research Center Clinical Core, as well as other individuals with neurological diseases. In addition to clinical information, the database has basic demographics, medical history (including risk factors such as smoking), and a detailed family history from all subjects. Some entries have neuropsychological measures. Users can access a Summary Database which contains the most commonly requested variables. A data dictionary describing the variables in the Summary Database is available.

Proper citation: Emory Neurology Database (RRID:SCR_005277) Copy   

•   Source: SciCrunch Registry

http://www.pd-doc.org/Databases/LinkedDatabases/PSGDatabases/ELLDOPAStudy/tabid/161/Default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site has a dataset from the ELLDOPA study: a multicenter, placebo-controlled, randomized, dose-ranging, double-blind clinical trial of 361 early, mild Parkinson's disease (PD) subjects, not requiring symptomatic medications with a duration from time of diagnosis less than 2 years. A NINDS funded study. The multicenter, placebo-controlled, randomized, dose-ranging, double-blind clinical trial, called the Earlier versus Later Levodopa Therapy in Parkinson Disease (ELLDOPA) study was run by the Parkinson Study Group and sponsored by the National Institute of Neurological Disorders and Stroke (NINDS). The subjects (n=361) were enrolled between September 1998 and August 2001 at 33 sites in the United States and 5 sites in Canada. Despite the known benefit of levodopa in reducing the symptoms of Parkinsons disease, concern has been expressed that its use might hasten neurodegeneration. This study assessed the effect of levodopa on the rate of progression of Parkinsons disease.The primary analysis assessed the doseresponse relationship between the assigned doses and the worsening of parkinsonism, as indicated by the changes in the total score on the UPDRS between the baseline visit and week 42. Washout of study drug occurred during weeks 40-42.

Proper citation: Earlier versus Later Levodopa Therapy in Parkinson Disease (RRID:SCR_001150) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitndd/

Database of records from patients with Parkinson's disease (n = 15), Huntington's disease (n = 20), or amyotrophic lateral sclerosis (n = 13). Records from 16 healthy control subjects are also included here. The raw data were obtained using force-sensitive resistors, with the output roughly proportional to the force under the foot. Stride-to-stride measures of footfall contact times were derived from these signals.

Proper citation: Gait Dynamics in Neuro-Degenerative Disease Data Base (RRID:SCR_006979) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitpdb/

Database that contains measures of gait from 93 patients with idiopathic PD (mean age: 66.3 years; 63% men), and 73 healthy controls (mean age: 66.3 years; 55% men). The database includes the vertical ground reaction force records of subjects as they walked at their usual, self-selected pace for approximately 2 minutes on level ground. Underneath each foot were 8 sensors (Ultraflex Computer Dyno Graphy, Infotronic Inc.) that measure force (in Newtons) as a function of time. The output of each of these 16 sensors has been digitized and recorded at 100 samples per second, and the records also include two signals that reflect the sum of the 8 sensor outputs for each foot. This database also includes demographic information, measures of disease severity (i.e., using the Hoehn & Yahr staging and/or the Unified Parkinson's Disease Rating Scale) and other related measures (available in HTML or xls spreadsheet format). A subset of the database includes measures recorded as subjects performed a second task (serial 7 subtractions) while walking, which shows excerpts of swing time series from a patient with PD and a control subject, under usual walking conditions and when performing serial 7 subtractions. Under usual walking conditions, variability is larger in the patient with PD (Coefficient of Variation = 2.7%), compared to the control subject (CV = 1.3%). Variability increases during dual tasking in the subject with PD (CV = 6.5%), but not in the control subject (CV = 1.2%).

Proper citation: Gait in Parkinson's Disease (RRID:SCR_006891) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitdb/

A mini-collection of human gait data that was constructed as a teaching resource for an intensive course (The Modern Science of Human Aging, conducted at MIT) that includes walking stride interval time series from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot). The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site. Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a gold standard. Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson's disease as they walked for 6 minutes up and down a long hallway.

Proper citation: Gait in Aging and Disease Database (RRID:SCR_006886) Copy   

•   Source: SciCrunch Registry

http://www.callisto-science.org/NSI/Neuroscience_Image_Database/Images%20of%20the%20Human%20Nervous%20System%20-%20Disease%20&%20Injury.html

A collection of images of the human nervous system focusing on disease and injury.

Proper citation: Human Nervous System Disease and Injury (RRID:SCR_006370) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/BIRN/Projects/Mouse/

Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more.

Proper citation: Mouse Biomedical Informatics Research Network (RRID:SCR_003392) Copy   

•   Source: SciCrunch Registry

http://www.cnsforum.com/educationalresources/imagebank/

A collection of downloadable central nervous system (CNS) images for teaching, presentations, articles, and other purposes. The following major categories of images are as follows: Brain anatomy, Brain physiology, Anxiety, Depression, Schizophrenia, Dementia, Parkinson's disease, Stroke, and Others.

Proper citation: CNSforum: Image Bank (RRID:SCR_002718) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/kravitz2

Dataset of the spike and laser timestamps from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings." The code will analyze spike trains around laser pulses to determine if a cell is significantly activated by the laser, and therefore expresses an excitatory opsin, such as channelrhodopsin-2. It returns an excel sheet that simply identifies the activated cells.

Proper citation: Kravitz Dataset 2 (RRID:SCR_000296) Copy   

•   Source: SciCrunch Registry

http://www.brainbank.mclean.org/

Biomaterial supply resource that acquires, processes, stores, and distributes postmortem brain specimens for brain research. Various types of brain tissue are collected, including those with neurological and psychiatric disorders, along with their parents, siblings and offspring. The HBTRC maintains an extensive collection of postmortem human brains from individuals with Huntington's chorea, Alzheimer's disease, Parkinson's disease, and other neurological disorders. In addition, the HBTRC also has a collection of normal-control specimens.

Proper citation: Harvard Brain Tissue Resource Center (RRID:SCR_003316) 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

https://www.bannerhealth.com/research/locations/sun-health-institute/programs/body-donation

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. An autopsy-based, research-devoted brain bank, biobank and biospecimen bank that derives its human donors from the Arizona Study of Aging and Neurodegenerative Disease (AZSAND), a longitudinal clinicopathological study of the health and diseases of elderly volunteers living in Maricopa county and metropolitan Phoenix, Arizona. Their function is studied during life and their organs and tissue after death. To date, they have concentrated their studies on Alzheimer's disease, Parkinson's disease, heart disease and cancer. They share the banked tissue, biomaterials and biospecimens with qualified researchers worldwide. Registrants with suitable scientific credentials will be allowed access to a database of available tissue linked to relevant clinical information, and will allow tissue requests to be initiated., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Brain and Body Donation Program (RRID:SCR_004822) Copy   

•   Source: SciCrunch Registry

http://www.parkinsons.org.uk/content/parkinsons-uk-brain-bank

A brain bank of the United Kingdom which collects human brains for Parkinsons disease research. The collection is comprised of brain, spinal cord and a sample of cerebrospinal fluid from people with and without Parkinson's after death. Researchers can fill out a brain tissue request form to order samples from the bank.

Proper citation: Parkinsons UK Brain Bank (RRID:SCR_007030) Copy   

•   Source: SciCrunch Registry

https://ida.loni.usc.edu/login.jsp

Archive used for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.

Proper citation: LONI Image and Data Archive (RRID:SCR_007283) Copy   

•   Source: SciCrunch Registry

http://www.ninds.nih.gov/research/parkinsonsweb/amr/amr_mice_ucla_repository.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 26, 2011. Information for depositors Investigators who are willing to share mice with the PD research community through this resource should send an email to PDMice_at_ninds.nih.gov describing the mouse. The submission will be reviewed by the PD Models Repository Oversight Committee and, if accepted, a copy of the MTA will be sent by return email. NINDS is most interested in distributing mice that have been characterized in a peer-reviewed publication, but other models will certainly be considered. The email should describe the following: The protocol for identification from tail DNA. The health report of the mice to be shipped (the report has to be less than 2 months old). Information about the strain and any special needs for care and breeding. Information about any publications involving the mice Certification that mice are not encumbered by continuing intellectual property or other rights to any research, data or discovery utilizing the animals. Information for consumers Investigators desiring to study the mice available through the repository should send a request via email to PDMice_at_ninds.nih.gov. Requests will be reviewed by the PD Models Repository Oversight Committee and priority will be determined on a first come, first served basis; two breeding pairs will typically be shipped to any single requester. As detailed in the MTA, mice are not available for commercial research, including but not limited to drug screening. Neither the creator nor UCLA have a role in the governance of the Repository, and specifically, cannot impose conditions upon availability or distribution. It is anticipated that until the Repository is in a mode of steady state production, requests will be collected and mice distributed as supply allows. The email requesting mice should include: A brief description of the protocol Either a copy of the IACUC approval letter or numberNINDS/UCLA Repository for Parkinson's Disease Mouse Models: One of the most immediate and important benefits of discoveries regarding the genetic or environmental causes of Parkinson's disease (PD) is the subsequent development of animal models wherein therapeutic and/or preventative interventions may be studied. The widespread availability of such models is critically important to making progress against a disorder that affects more than 500,000 Americans at any given time. The National Institute of Neurological Disorders and Stroke (NINDS) fully recognizes the burden placed on investigators by the financial and logistical realities of distributing high demand research resources. Some investigators have deposited their mice with national distribution facilities but many mouse models are not available through such resources. Developing means to facilitate greater sharing of mouse models of PD is one of the goals developed by the PD research community at the July 2002 summit meeting convened by the NIH Director. Accordingly, as part of the effort to accelerate PD research, NINDS and the University of California at Los Angeles (UCLA) created a resource that will distribute transgenic mouse models of human PD that are not yet available through national commercial resources. Investigators who are willing to share mice with the PD research community can simply arrange with NINDS to have the mice deposited at UCLA and investigators desiring to study the mice may arrange with NINDS to obtain two breeding pairs. The process will use Material Transfer Agreements created specifically for this arrangement.

Proper citation: NINDS/UCLA Repository for Parkinson's Disease Mouse Models (RRID:SCR_007319) Copy   

•   Source: SciCrunch Registry

https://pdbp.ninds.nih.gov

Common data management resource and web portal to promote discovery of Parkinson's Disease diagnostic and progression biomarker candidates for early detection and measurement of disease progression. PDBP will serve as multi-faceted platform for integrating existing biomarker efforts, standardizing data collection and management across these efforts, accelerating discovery of new biomarkers, and fostering and expanding collaborative opportunities for all stakeholders.

Proper citation: Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) (RRID:SCR_002517) Copy   

•   Source: SciCrunch Registry

http://www.PDtrials.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. A collaborative initiative of Parkinson's organizations dedicated to increasing education and awareness about clinical research. PDtrials provides up-to-date information on Parkinson's disease trials currently enrolling participants in the U.S. and Canada, as well as information about Parkinson's studies for people living with PD, their families and caregivers. Researchers can list their own trials on the PDtrials website. Patients can browse trial listings by type, location, symptom, or keyword.

Proper citation: PDtrials- Parkinsons Disease Clinical Trials (RRID:SCR_002027) Copy   

•   Source: SciCrunch Registry