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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Kinarm End-Point Lab Resource Report Resource Website 1+ mentions |
Kinarm End-Point Lab (RRID:SCR_017060) | instrument resource | Robotics research tool designed to make quantitative neurological assessments of sensorimotor, proprioception, and cognitive brain function by BKIN Technologies. Robotic manipulandum with display for studying arm movements. Allows to assess coordination of limbs at multiple joints while measuring joint specific force. | instrument, BKIN Technologies, kinarm, end, point, robot, quantitative, neurological, assessment, sensorimotor, proprioception, cognitive, limb, arm, brain, function | has parent organization: Queens University; Ontario; Canada | Commercially available | https://kinarm.com/wp-content/uploads/2023/03/Kinarm_Tech_End-Point-Lab_PN14332-1-Nov-21.pdf | https://www.bkintechnologies.com/bkin-products/kinarm-end-point-lab/ | SCR_017060 | KINARM End-Point Lab, Kinesiological Instrument for Normal and Altered Reaching Movements End-Point Lab | 2026-02-14 02:03:22 | 1 | |||||||
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Southeastern Brain Tumor Foundation Resource Report Resource Website |
Southeastern Brain Tumor Foundation (RRID:SCR_004768) | SBTF | institution | Founded in 1995, the Southeastern Brain Tumor Foundation (SBTF), a 501c3 not-for-profit charitable foundation, is devoted to improve the quality of life for brain tumor patients and their families. By offering information, education and support services, we aspire to instill hope, knowledge and comfort to all involved. The Southeastern Brain Tumor Foundation also raises funds for research and medical personnel so that a cure can be found. For over a decade, the SBTF has become a well-known fundraising entity supporting critical, cutting edge brain tumor research at major medical centers in the Southeast. Our annual Race for Research held in Atlanta, Georgia each summer, is our main fundraising event popular throughout Atlanta and the surrounding metropolitan area and has funded over $1.2 million dollars in research grants to leading researchers at major medical centers throughout the Southeast over the past decade. We are proud of our dedicated, all volunteer Board of Directors who meet monthly. Our Board is a diverse group comprised of individuals who''ve been touched by brain tumors in many different ways. Ranging from patients and family members to healthcare professionals; we are all committed to promoting the awareness of brain tumors in the community, communicating with patients and families and raising critical funds for research grants furthering advancements in the treatment of brain tumors. Our monthly support group, lead by a nurse practitioner, welcomes patients and their families to sit side by side with each other, share their experiences, communicate and receive support. As a neurosurgeon-scientist focused on the treatment of patients with brain tumors, I am committed to advancing the mission of SBTF forward in the fight against brain tumors. Our ability to serve the brain tumor community is dependent on each of you. Whether you support us with a financial donation in our fundraising efforts or with your time as a volunteer, each of you are a vital and integral part of our success and we thank you. | brain, tumor | Cancer, Brain cancer, Brain tumor | Crossref funder ID: 100003421, ISNI: 0000 0004 5902 7216, grid.481206.9, nlx_143897 | https://ror.org/01v0qv381 | SCR_004768 | 2026-02-14 02:01:01 | 0 | ||||||||
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Medical University of Vienna Institute of Neurology Resource Report Resource Website |
Medical University of Vienna Institute of Neurology (RRID:SCR_005030) | MedUni Vienna IN | institution | The (Clinical) Institute of Neurology (IN) of the Medical University Vienna was founded in 1882 by Heinrich Obersteiner. It is the oldest institution embracing the multidisciplinarity of neurosciences and has served as model for the establishment of similarly designed institutions in many countries. The original location of the then Neurological Institute in Vienna was at Schwarzspanierstrasse. Since 1993, IN is located in the Vienna General Hospital in top-class laboratory facilities. IN is committed to its proud tradition as Obersteiner Institute and to a promising future of a nationally and internationally leading institution in the clinical neurosciences. Our work aims to translate the understanding of nervous diseases to the development of novel therapeutics and diagnostics. IN''''s tasks include diagnostic patient service, research and graduate / postgraduate teaching in neuropathology, neurochemistry, and neuro-molecular biology in an integrated way. Neuropathology is a recognized medical specialty in Austria. It analyzes structural changes of nervous tissues in disease. Diagnostic neuropathology makes use of most modern morphological techniques applied to diseased central, peripheral and vegetative nervous tissues and fluids, and muscle. Neuropathological diagnoses are a basis for disease classification and rational therapies. Neurodegenerative disorders, in particular prion diseases, virus diseases affecting the nervous system, and brain tumors (neuro-oncology) are research priorities. In the highly publicized area of prion diseases, IN has developed into a national and international center of excellence and expertise that leads several European, EU-funded networks in prion research. As an indispensable asset, the IN possesses a large brain bank that has systematically collected neuropathological specimens since 1948. Most samples are fixed and paraffin-embedded tissue only, but in a part of neurosurgical, nerve and muscle biopsies and autopsies, also fresh tissue is obtained, frozen and stored at -80 degrees C. Occasionally blood and CSF are also available. The unique neuropathological collection of histological slides, paraffin blocks and formol-fixed nervous tissues now comprises about 16.000 brain autopsies, 30.000 neurosurgical and 7.500 nerve/muscle biopsies. Also a number of cell cultures have been stored, mainly fibroblasts from patients with rare neurometabolic diseases, and primary cultures of brain tumors. IN participates in the EU-supported European Network of Brain Banks BrainNet Europe. | neurodegenerative disease, prion disease, neuroviral disease, neurometabolic disease, brain tumor, nervous system disease, neuropathology, nervous system, neuro-oncology, clinical, neuroscience, clinical neuroscience, tissue, brain tissue, brain, blood, cerebral spinal fluid, cell, fibroblast, brain tumor, tumor, fixed, paraffin-embedded, fresh, frozen, histological slide, paraffin block, formol-fixed, neuropathological specimen, nerve, muscle |
is listed by: One Mind Biospecimen Bank Listing is related to: BrainNet Europe has parent organization: Medical University of Vienna; Vienna; Austria |
Neurodegenerative disease, Prion Disease, Neuroviral disease, Neurometabolic disease, Brain tumor, Nervous system disease, Neuropathological specimen | nlx_144015 | SCR_005030 | Vienna Brain Bank, Vienna Institute of Neurology | 2026-02-14 02:01:01 | 0 | |||||||
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Brain Tumor Funders Collaborative Resource Report Resource Website 1+ mentions |
Brain Tumor Funders Collaborative (RRID:SCR_005104) | BTFC | nonprofit organization | The Brain Tumor Funders'' Collaborative is a partnership among five private philanthropic and advocacy organizations: American Brain Tumor Association, Brain Tumour Foundation of Canada, Children''s Brain Tumor Foundation, James S. McDonnell Foundation, and Sontag Foundation. This Collaborative promotes research directly relating to brain tumors and offers grants to professors and institutions to conduct research. | brain tumor, grant, brain, tumor | ISNI: 0000 0004 5902 6934, nlx_144116, grid.478520.c, Crossref funder ID: 100005513 | https://ror.org/05ncfp318 | SCR_005104 | Brain Tumor Funders'' Collaborative | 2026-02-14 02:01:02 | 2 | ||||||||
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International Neuroinformatics Coordinating Facility Resource Report Resource Website 50+ mentions |
International Neuroinformatics Coordinating Facility (RRID:SCR_002282) | INCF | nonprofit organization | Independent international facilitator catalyzing and coordinating global development of neuroinformatics aiming to advance data reuse and reproducibility in global brain research. Integrates and analyzes diverse data across scales, techniques, and species to understand brain function and positively impact the health and well being of society. | neuroinformatics, neuroscience, neuroimaging, clinical, brain, data, sharing, reuse, global |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Spike Sorting Evaluation Project is related to: Allen Brain Atlas API is related to: SenseLab has parent organization: Karolinska Institute; Stockholm; Sweden has parent organization: Royal Institute of Technology; Stockholm; Sweden is parent organization of: INCF Dataspace is parent organization of: Waxholm Space is parent organization of: MUlti SImulation Coordinator is parent organization of: INCF Software Center is parent organization of: Program on Ontologies of Neural Structures is parent organization of: Common Upper Mammalian Brain Ontology is parent organization of: INCF Training in Neuroinformatics is parent organization of: INCF Funding is parent organization of: INCF Blog is parent organization of: INCForg - YouTube is parent organization of: INCF Swiss Node is parent organization of: INCF Newsroom is parent organization of: INCF Japan Node is parent organization of: Scalable Brain Atlas is parent organization of: INCF Job Board is parent organization of: INCF Neuroimaging Data Sharing is parent organization of: Waxholm Space is parent organization of: NeuroLex is parent organization of: Neuroimaging Data Model is parent organization of: Neuron Registry Curator Interface is parent organization of: INCF-Neurobot |
Swedish Research Council ; Swedish Foundation for Strategic Research ; NSF |
ISNI: 0000 0004 6107 939X, grid.498423.0, nif-0000-00365 | https://ror.org/02y5xjh56 | SCR_002282 | INCF, International Neuroinformatics Coordinating Facility, The International Neuroinformatics Coordinating Facility | 2026-02-14 02:00:21 | 56 | ||||||
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BrainNet Europe Sampling Protocols Resource Report Resource Website |
BrainNet Europe Sampling Protocols (RRID:SCR_000484) | BNE Sampling protocols | protocol | Sampling protocols produced by the BrainNet Europe Consortium generally with five types of dissection and brain processing procedures defined in all disease related protocols. * Fresh brain dissection * Fresh brain processing * Dissection of formalin-fixed brain * Histology and immunohistochemistry * Processing fresh brain | dna preservation, rna preservation, protein preservation, macrodissection, microdissection, tissue sampling, brain banking, dissection, brain processing, brain, fresh, formalin-fixed, histology, immunohistochemistry | has parent organization: BrainNet Europe | Dementia, Depressive Disorder, Schizophrenia, Motor Neuron Disease, Neurodegenerative disease | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158157 | SCR_000484 | 2026-02-14 01:59:44 | 0 | |||||||
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brainlife.io Resource Report Resource Website 1+ mentions |
brainlife.io (RRID:SCR_016513) | data or information resource, portal | Platform for publishing reproducible code and datasets and providing access to national supercomputers, private clouds, and institutional high-performance computer systems to promote open software and data sharing to advance understanding of the human brain. | human, brain, life, data, application, technology, share, open, software, reproducible, code, dataset, |
has parent organization: Indiana University Bloomington; Indiana; USA works with: brainlife |
NSF BCS 1734853; NSF IIS 1636893 |
DOI:10.1038/s41597-019-0073-y | Public, Free, Freely available, Login required | https://github.com/brain-life | SCR_016513 | 2026-02-14 02:05:40 | 1 | |||||||
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Compilation of Genetics Resource Databases Resource Report Resource Website 10+ mentions |
Compilation of Genetics Resource Databases (RRID:SCR_017501) | data or information resource, portal | Portal provides list of genetic resources such as Brain Atlases and genomes for various species provided by National Institute of Drug Abuse. | Genetic, data, brain, atlas, information, National, Institute, Drug, Abuse, FASEB list | Restricted | SCR_017501 | 2026-02-14 02:05:35 | 49 | |||||||||||
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Public Expression Profiling Resource Resource Report Resource Website 10+ mentions |
Public Expression Profiling Resource (RRID:SCR_007274) | PEPR | data or information resource, database | An experiment in web-database access to large multi-dimensional data sets using a standardized experimental platform to determine if the larger scientific community can be given simple, intuitive, and user-friendly web-based access to large microarray data sets. All data in PEPR is also available via NCBI GEO. The structure and goals of PEPR differ from other mRNA expression profiling databases in a number of important ways. * The experimental platform in PEPR is standardized, and is an Affymetrix - only database. All microarrays available in the PEPR web database should ascribe to quality control and standard operating procedures. A recent publication has described the QC/SOP criteria utilized in PEPR profiles ( The Tumor Analysis Best Practices Working Group 2004 ). * PEPR permits gene-based queries of large Affymetrix array data sets without any specialized software. For example, a number of large time series projects are available within PEPR, containing 40-60 microarrays, yet these can be simply queried via a dynamic web interface with no prior knowledge of microarray data analysis. * Projects in PEPR originate from scientists world-wide, but all data has been generated by the Research Center for Genetic Medicine, Children''''s National Medical Center, Washington DC. Future developments of PEPR will allow remote entry of Affymetrix data ascribing to the same QC/SOP protocols. They have previously described an initial implementation of PEPR, and a dynamic web-queried time series graphical interface ( Chen et al. 2004 ). A publication showing the utility of PEPR for pharmacodynamic data has recently been published ( Almon et al. 2003 ). | microarray, expression profiling, affymetrix, metadata standard, gene, time series, data sharing, visualization, data mining, platform, blood, cell, cancer, bone, brain, eye, gut, heart, kidney, liver, lung, muscle, spinal cord, spleen, analysis |
is listed by: OMICtools is related to: Gene Expression Omnibus |
NINDS ; United States Department of Defense ; NHGRI ; NHLBI |
PMID:14681485 PMID:14596642 |
Public, Account required, (to download, For the analysis and visualization tools), The community can contribute to this resource | nif-0000-00014, OMICS_00776 | SCR_007274 | 2026-02-14 02:06:28 | 16 | ||||||
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BAMS Nested Regions Resource Report Resource Website 1+ mentions |
BAMS Nested Regions (RRID:SCR_000238) | BAMS Nested Regions | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 7th, 2019. BAMS is an online resource for information about neural circuitry. The BAMS Nested Regions view focuses on the major brain regions and their relationships. | neural circuitry, brain region, brain |
is used by: NIF Data Federation has parent organization: Brain Architecture Management System |
NIMH MH61223; NINDS NS16686; NINDS/NIMH/NIBIB NS50792-01 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10175 | SCR_000238 | Brain Architecture Management System Nested Regions | 2026-02-14 02:05:59 | 3 | ||||||
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Neurocarta Resource Report Resource Website |
Neurocarta (RRID:SCR_000617) | Neurocarta | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Neurocarta is a knowledgebase that consolidates information on genes and phenotypes across multiple resources and allows tracking and exploring of the associations. The system enables automatic and manual curation of evidence supporting each association, as well as user-enabled entry of their own annotations. Phenotypes are recorded using controlled vocabularies such as the Disease Ontology to facilitate computational inference and linking to external data sources. The gene-to-phenotype associations are filtered by stringent criteria to focus on the annotations most likely to be relevant. Neurocarta is constantly growing and currently holds more than 30,000 lines of evidence linking over 6,800 genes to 1,800 different phenotypes. Neurocarta is a one-stop shop for researchers looking for candidate genes for any disorder of interest. In Neurocarta, they can review the evidence linking genes to phenotypes and filter out the evidence they're not interested in. In addition, researchers can enter their own annotations from their experiments and analyze them in the context of existing public annotations. Neurocarta's in-depth annotation of neurodevelopmental disorders makes it a unique resource for neuroscientists working on brain development. | gene, phenotype, curation, annotation, candidate gene, neuroscientist, brain development, brain, tool |
is related to: Human Phenotype Ontology is related to: MPO is related to: Human Disease Ontology has parent organization: Gemma |
Neurodevelopmental disease | PMID:23442263 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151502 | SCR_000617 | 2026-02-14 02:05:43 | 0 | ||||||
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Sullivan Lab Evidence Project Resource Report Resource Website 1+ mentions |
Sullivan Lab Evidence Project (RRID:SCR_000753) | SLEP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of genetic and gene expression data from the published literature on psychiatric disorders. Users can search the accumulated data to find the evidence in support of the involvement of a particular genomic region with a set of important psychiatric disorders, ADHD, autism, bipolar disorder, eating disorder, major depressive disorder, schizophrenia, and smoking behavior. It contains findings from manual reviews of 144 papers in psychiatric genetics, 136 primary reports and 8 meta-analyses. Disorders covered include schizophrenia (44 papers), autism (24 papers), bipolar disorder (24 papers), smoking behavior (24 papers), major depressive disorder and neuroticism (14 papers), ADHD (8 papers), eating disorders (3 papers), and a combined schizophrenia-bipolar phenotype (3 papers). The unbiased searches integrated into SLEP include genomewide linkage (117 papers), genomewide association (15 papers), copy number variation (9 papers), and gene expression studies of post-mortem brain tissue (3 meta-analyses courtesy of the Stanley Foundation). In total, SLEP captures 3,741 findings from these 144 papers. SLEP also contains over 70,000 SignPosts. These annotations derive from many different sources and are designed to try to capture current state of knowledge about disease associations in the human genome. SignPosts can be searched simultaneously with the psychiatric genetics literature in order to integrate these two bodies of knowledge. The SignPosts include: accumulated GWAS findings from the human genetics literature, the OMIM database, candidate gene association study literature, CNV location and frequency data, SNPs that influence gene expression in brain, genes expressed in brain, genes with evidence of imprinting and random monoalleleic expression, genes mutated in breast or colorectal cancer, and pathway data from BioCyc. | eating disorder, gene, gene expression, adhd, autism, bipolar disorder, brain, breast, cancer, colorectal, combined schizophrenia-bipolar, disease, genomic region, imprinting, major depressive disorder, meta-analysis, monoalleleic, mutation, neuroticism, post-mortem, psychiatric disorder, schizophrenia, smoking behavior, tissue, molecular neuroanatomy resource | Eating disorder, Bipolar disorder, Brain, Breast cancer, Colorectal cancer, Combined schizophrenia-bipolar disease, Genomic region, Imprinting, Major depressive disorder, schizophrenia, Smoking behavior, Autism, Attention deficit-hyperactivity disorder | NIMH MH097281 | PMID:18548508 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10439 | SCR_000753 | 2026-02-14 02:05:43 | 3 | ||||||
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BodyMap-Xs Resource Report Resource Website 1+ mentions |
BodyMap-Xs (RRID:SCR_001147) | BodyMap-Xs | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008 | expressed sequence tag, comparative genomics, anatomy, taxonomy, brain, blood, connective, reproductive, muscular, alimentary, lung, liver, urinary, endocrine, exocrine, embryo, homology, gene expression, ortholog, paralog | has parent organization: DNA DataBank of Japan (DDBJ) | Neoplasm, Normal | Japanese Ministry of Education Culture Sports Science and Technology MEXT ; New Energy and Industrial Technology Development Organization |
PMID:16381946 PMID:11125076 PMID:10592203 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02617 | http://bodymap.jp/, http://bodymap.ims.u-tokyo.ac.jp/ | SCR_001147 | BodyMap-Xs: anatomical and taxonomical breakdown of animal EST, BodyMap, BodyMap- human and mouse gene expression database, BodyMap: human and mouse gene expression database, BodyMap-cross species, BodyMap-Xs(cross species) | 2026-02-14 02:05:44 | 1 | |||
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Stanley Medical Research Institute Online Genomics Database Resource Report Resource Website 10+ mentions |
Stanley Medical Research Institute Online Genomics Database (RRID:SCR_004859) | Stanley Online Genomics Database | data or information resource, database | The Stanley Online Genomics Database uses samples from the Stanley Medical Research Institute (SMRI) Brain Bank. These samples were processed and run on gene expression arrays by a variety of researchers in collaboration with the SMRI. These researchers have performed analyses on their respective studies using a range of analytic approaches. All of the genomic data have been aggregated in this online database, and a consistent set of analyses have been applied to each study. Additionally, a comprehensive set of cross-study analyses have been performed. A thorough collection of gene expression summaries are provided, inclusive of patient demographics, disease subclasses, regulated biological pathways, and functional classifications. Raw data is also available to download. The database is derived from two sets of brain samples, the Stanley Array collection and the Stanley Consortium collection. The Stanley Array collection contains 105 patients, and the Stanley Consortium collection contains 60 patients. Multiple genomic studies have been conducted using these brain samples. From these studies, twelve were selected for inclusion in the database on the basis of number of patients studied, genomic platform used, and data quality. The Consortium collection studies have fewer patients but more diversity in brain regions and array platforms, while the Array collection studies are more homogenous. There are tradeoffs, the Consortium results will be more variable, but findings may be more broadly representative. The collections contain brain samples from subjects in four main groups: Bipolar Schizophrenia, Depression, and Controls Brain regions used in the studies include: Broadman Area 6, Broadman Area 8/9, Broadman Area 10, Broadman Area 46, Cerebellum The 12 studies encompass a range of microarray platforms: Affymetrix HG-U95Av2, Affymetrix HG-U133A, Affymetrix HG-U133 2.0+, Codelink Human 20K, Agilent Human I, Custom cDNA Publications based on any of the clinical or genomic data should credit the Stanley Medical Research Institute, as well as any individual SMRI collaborators whose data is being used. Publications which make use of analytic results/methods in the database should additionally cite Dr. Michael Elashoff. Registration is required to access the data. | clinical, genomic, gene expression, microarray, bipolar disorder, schizophrenia, depressive disorder, control, brain, brodmann area 6, brodmann area 8, brodmann area 9, brodmann (1909) area 10, brodmann area 46, cerebellum, FASEB list | has parent organization: Stanley Medical Research Institute | PMID:16594998 | nlx_143935 | SCR_004859 | SMRI Online Genomics Database | 2026-02-14 02:06:23 | 31 | |||||||
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BCIZaragoza - YouTube Resource Report Resource Website |
BCIZaragoza - YouTube (RRID:SCR_005445) | BCIZaragoza - YouTube | data or information resource, video resource | Videos uploaded to YouTube by the Brain-Computer Interfaces (BCI) research team, University of Zaragoza. | brain, robot, teleoperation | has parent organization: University of Zaragoza; Zaragoza; Spain | nlx_144536 | SCR_005445 | Interfaz Cerebro Maquina Zaragoza, Brain-Computer Interfaces University of Zaragoza - YouTube, Canal de BCIZaragoza, Interfaz Cerebro M��quina Zaragoza, BCI Zaragoza - YouTube | 2026-02-14 02:06:24 | 0 | ||||||||
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BrainBlogger - YouTube Resource Report Resource Website |
BrainBlogger - YouTube (RRID:SCR_005469) | BrainBlogger - YouTube | data or information resource, video resource | BrainBlogger - YouTube are videos uploaded to YouTube by Brain Blogger. Brain Blogger covers topics from multidimensional biopsychosocial perspectives. It reviews the latest news and stories related to neuroscience, psychiatry, and neurology. It serves as a focal point for attracting new minds beyond the science of the mind-and-brain and into the biopsychosocial model. | brain, human, neuroscience, psychiatry, neurology, biopsychosocial | has parent organization: Brain Blogger | Global Neuroscience Initiative Foundation | nlx_144586 | SCR_005469 | Brain Blogger - YouTube | 2026-02-14 02:06:28 | 0 | |||||||
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MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | data or information resource, database | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, nlx_146210, biotools:methylomedb | https://bio.tools/methylomedb | SCR_005583 | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-02-14 02:06:24 | 1 | |||||
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Major depressive disorder neuroimaging database Resource Report Resource Website 1+ mentions |
Major depressive disorder neuroimaging database (RRID:SCR_005835) | MaND | data or information resource, database | The Major Depressive Disorder Neuroimaging Database (MaND) contains information of 225 studies which have investigated brain structure (using MRI and CT scans) in patients with major depressive disorder compared to a control group. 143 studies and 63 brain structures are included in the meta-analysis. The database and meta-analysis are contained in an Excel spreadsheet file which may be freely downloaded from this website. | mri, brain, ct, neuroimaging, image, normal control | has parent organization: King's College London; London; United Kingdom | Major depressive disorder | Wellcome Trust ; National Institute for Health Research ; EPSRC |
PMID:21727252 | nlx_149353 | SCR_005835 | Major Depressive Disorder Neuroimaging Database (MaND) | 2026-02-14 02:06:25 | 2 | |||||
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National Resource for Quantitative Functional MRI Resource Report Resource Website 1+ mentions |
National Resource for Quantitative Functional MRI (RRID:SCR_006716) | Resource for Quantitative Functional MRI | biomedical technology research center, training resource | Biomedical technology research center that provides expertise for the design of quantitative magnetic resonance imaging (MRI) and spectroscopy (MRS) data acquisition and processing technologies that facilitate the biomedical research of a large community of clinicians and neuroscientists in Maryland and throughout the USA. These methods allow noninvasive assessment of changes in brain anatomy as well as in tissue metabolite levels, physiology, and brain functioning while the brain is changing size during early development and during neurodegeneration, i.e. the changing brain throughout the life span. The Kirby Center has 3 Tesla and 7 Tesla state of the art scanners equipped with parallel imaging (8, 16, and 32-channel receive coils) and multi-transmit capabilities. CIS has an IBM supercomputer that is part of a national supercomputing infrastructure. Resources fall into the following categories: * MRI facilities, image acquisition, and processing * Computing facilities and image analysis * Novel statistical methods for functional brain imaging * Translating laboratory discoveries to patient treatment | quantitative magnetic resonance imaging, magnetic resonance spectroscopy, mri, fmri, function, metabolism, physiology, brain, neurodevelopment, neurodegeneration, image acquisition, image processing, computing, image analysis, statistical method, neuroimaging, development |
has parent organization: Kennedy Krieger Institute has parent organization: Johns Hopkins University; Maryland; USA |
NIBIB P41 EB015909; NCRR P41 RR015241 |
nlx_152634 | http://mri.kennedykrieger.org/nationalresource/index.html | SCR_006716 | Resource for Quantitative Functional Magnetic Resonance Imaging | 2026-02-14 02:07:31 | 1 | ||||||
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Database on Brain Map Transformations in Cerebellar Systems Resource Report Resource Website 1+ mentions |
Database on Brain Map Transformations in Cerebellar Systems (RRID:SCR_008052) | data or information resource, database | This site contains the NeSys archive on structure and structure-function data about brain map transformations in the cerebellar system of the rat. This archive presents data not illustrated in the original publications, downloadable original data sets, interactive illustration sequences, including 3-D models. The repository is based on 5 original publications. The publications deal with: - organization of projections to the pontine nuclei from three cortical areas: primary and secondary somatosensory areas (SI and SII), and the primary motor cortex (MI) - organization of pontine neurons projecting to somatosensory representations in the posterior cerebellum The data are also included in the FACCS application, a relational database application with embedded analytical tools, available via the The Rodent Brain Workbench (www.rbwb.org). Sponsors: NeSys Research and Database development is supported by The Research Council of Norway, The European Community (grants QLRT-2000-02256 and QLG3-CT 1999-00763), The Norwegian Consortium for High Performance Computing, and The Jahre Foundation. | brain, cerebellar, cortical, map, organization, ponine nucleus, posterior cerebellum, primary motor cortex, rat, somatosensory, structure, structure-function, system | has parent organization: University of Oslo; Oslo; Norway | nif-0000-10374 | SCR_008052 | NeSys Database | 2026-02-14 02:06:06 | 1 |
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