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http://gnif.org/

The GNIF is a non-profit charity organization for the advancement of neurological and mental health patient welfare, education, and research. We aim to further brain related studies, end mental health stigmatization and discrimination, improve the well-being of afflicted individuals, promote the free and open-access distribution of brain related information, and institute universal and multidisciplinary distance educational programs. The paramount GNIF mission is the betterment of neurological and mental health patient welfare, education, and research. With the development of novel free and open-access Therapeutic Recreational Centers, health promotion campaigns, and other charitable activities throughout the world, this organization can aid diagnosed individuals and their advocates. By presenting free and open-access information and educational courses via a distance, the GNIF aims to educate clinicians, teachers, scientists, patients, and the general public on neuroscience, medicine, psychology, biotechnology, and computer science. Moreover, the GNIF supports a variety of sound research programs ranging from biomedical to spiritual studies on the nature of the mind-body connection, biopsychosocial model of health and disease, and health psychology/behavioral medicine practices. The Global Neuroscience Initiative Foundation (GNIF) offers several projects and partnerships adherent to its missions. The following is an alphabetical listing of the GNIF Project Directory: * Brain Blogger * Brain Sciences & Neuropsychiatry * Distance Education Division * Ethics in Mental Health * Knowledge Center * Living with a Brain Disorder * Neuropsychiatry for Kids * Surgical Webcasts * Therapeutic Recreational Centers * Visual Brain Application

Proper citation: Global Neuroscience Initiative Foundation (RRID:SCR_005468) Copy   

•   Source: SciCrunch Registry

http://www.cbtf.org/

Children''s Brain Tumor Foundation, a non-profit organization, was founded in 1988 by dedicated parents, physicians and friends. Our mission is to improve the treatment, quality of life and the long term outlook for children with brain and spinal cord tumors through research, support, education, and advocacy to families and survivors. Knowledge is critical for families to access expert care and ensure quality of life. Our free publication A Resource Guide for Parents of Children with Brain and Spinal Cord Tumors is now in its fourth edition, and is full of practical information to sort out the complexities of medical procedures, interruptions in school and social life, and uncertainty about the future. CBTF co-sponsors conferences for families, survivors and health care professionals, offering the latest information about research, treatments and strategies for living. Only scientific research will identify the causes and lead to effective treatments for brain tumors in children. CBTF funds cutting-edge research by scientists at top academic medical centers. Their discoveries hold the promise of improving the lives of affected children today and discovering the means of prevention for future generations. CBTF has awarded over $5 million in grants for basic and clinical research related to pediatric brain and spinal cord tumors. Also, over $625,000 has been given out in Quality of Life Grants.

Proper citation: Childrens Brain Tumor Foundation (RRID:SCR_004422) Copy   

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http://www.alz.org/

A non profit organization dedicated to providing support for patients and families with Alzheimer's disease, to educating the public about the disease, to funding a wide range of Alzheimer's disease related research and to finding ways to treat and eventually to prevent Alzheimer's disease. Resources include: the Alzheimer's Association Green-Field Library, a research grants program, and the Journal of the Alzheimer's Association.

Proper citation: Alzheimers Association (RRID:SCR_007398) Copy   

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http://www.ohsu.edu/xd/research/centers-institutes/onprc/

Center that aims to develop biomedical technologies using nonhuman primate (NHP) models. Its goal is to uncover the root causes of various disease and disorders, unlock secrets of the brain, and unleash new methods of diagnostics and treatment.

Proper citation: Oregon National Primate Research Center (RRID:SCR_008291) Copy   

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http://www.brainnet-europe.org/index.php?option=com_content&view=article&id=99&Itemid=99

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

Proper citation: BrainNet Europe Sampling Protocols (RRID:SCR_000484) Copy   

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http://www.incf.org/

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.

Proper citation: International Neuroinformatics Coordinating Facility (RRID:SCR_002282) Copy   

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http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

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http://neuroscience.ucdavis.edu/

Recognizing the importance of research in Neuroscience and its great promise, as well as the importance of educating the neuroscientists of the future, the University of California, Davis, in 1990, established The Center for Neuroscience. The Center has now become the focus of interdisciplinary studies in Cellular, Molecular, Systems, Cognitive and Translational Neuroscience, with a Faculty made up of world leaders in brain research. The Center occupies facilities especially designed to promote and foster interactions among the resident faculty, associated faculty, postdoctoral fellows, and graduate students, with state-of-the-art lab space and associated facilities such as cellular and molecular imaging, functional imaging of the human brain and extensive databasing facilities. The Center provides an attractive setting for seminar series that feature distinguished National and International guest speakers as well as speakers from the UC Davis community of scientists. The Center is home to a number of visiting scholars each year and enjoys a lively intellectual atmosphere.

Proper citation: University of California Davis Center for Neuroscience (RRID:SCR_001640) Copy   

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http://www.fz-juelich.de/ime/spm_anatomy_toolbox

A MATLAB toolbox which uses three dimensional probabilistic cytoarchitechtonic maps to correlate microscopic, anatomic and functional data of the cerebral cortex. Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.

Proper citation: SPM Anatomy Toolbox (RRID:SCR_013273) Copy   

•   Source: SciCrunch Registry

https://kinarm.com/solutions/kinarm-end-point-lab/

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.

Proper citation: Kinarm: End-Point Lab (RRID:SCR_017060) Copy   

•   Source: SciCrunch Registry

http://casestudies.brain-map.org/celltax

Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.

Proper citation: CellTax vignette (RRID:SCR_017000) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-8/search?q=*

A data set of connectivity statements from BAMS, CoCoMac, BrainMaps, Connectome Wiki, the Hippocampal-Parahippocampal Table of Temporal-Lobe.com, and Avian Brain Circuitry Database. The data set lists which brain sites connectivity is to and from, the organism connectivity is mapped in, and journal references.

Proper citation: Integrated Nervous System Connectivity (RRID:SCR_006391) Copy   

•   Source: SciCrunch Registry

http://neurobureau.projects.nitrc.org/ADHD200/Introduction.html

Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau

Proper citation: ADHD-200 Preprocessed Data (RRID:SCR_000576) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/resources/Tools/record/nlx_144509-1/6b508d2a-fd5f-56f2-93cf-462fcd52548e/search?q=*&l=&facet%5B%5D=Parent%20Organization:University%20of%20Michigan;%20Michigan;%20USA&sort=added

THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 12, 2017.

Dataset in Bilingual exposure optimizes left-hemisphere dominance for selective attention processes in the developing brain by Arredondo, Su, Satterfield, & Kovelman (XX) Does early bilingual exposure alter the representations of cognitive processes in the developing brain? Theories of bilingual development have suggested that bilingual language switching might improve children''s executive function and foster the maturation of prefrontal brain regions that support higher cognition. To test this hypothesis, we used functional Near Infrared Spectroscopy to measure brain activity in Spanish-English bilingual and English-monolingual children during a visuo-spatial executive function task of attentional control (N=27, ages 7-13). Prior findings suggest that while young children start with bilateral activation for the task, it becomes right-lateralized with age (Konrad et al., 2005). Indeed monolinguals showed bilateral frontal activation, however young bilinguals showed greater activation in left language areas relative to right hemisphere and relative to monolinguals. The findings suggest that bilingual experience optimizes attention mechanisms in the language hemisphere, and highlight the importance of early experiences for neurodevelopmental plasticity of higher cognition. These data are made available from Ioulia Kovelman''s Language and Literacy Lab at University of Michigan and may be exported through the NIF Data Federation. To cite these data please use this text Data were published by Arredondo et al. (XX) and made available via the NIF at XX

Proper citation: Arredondo ANT fNIRS dataset1 (RRID:SCR_002653) Copy   

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http://fcon_1000.projects.nitrc.org/indi/retro/BeijingEOEC.html

Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed.

Proper citation: Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse4271/

Curated data set from a study that investigated 77 primary high-grade astrocytomas and 23 matched recurrences so that changes in gene expression related to both survival and disease progression can be identified. Samples in the study include WHO grade III and IV astrocytomas with a wide range of survival times.

Proper citation: GSE4271 (RRID:SCR_003643) Copy   

•   Source: SciCrunch Registry

http://www.chibi.ubc.ca/WhiteText/

Freely available corpus of manually annotated brain region mentions created to facilitate text mining of neuroscience literature. The corpus contains 1,377 abstracts with 18,242 brain region annotations. Interannotator agreement was evaluated for a subset of the documents, and was 90.7% and 96.7% for strict and lenient matching respectively. We observed a large vocabulary of over 6,000 unique brain region terms and 17,000 words. For automatic extraction of brain region mentions we evaluated simple dictionary methods and complex natural language processing techniques. The dictionary methods based on neuroanatomical lexicons recalled 36% of the mentions with 57% precision. The best performance was achieved using a conditional random field (CRF) with a rich feature set. Features were based on morphological, lexical, syntactic and contextual information. The CRF recalled 76% of mentions at 81% precision, by counting partial matches recall and precision increase to 86% and 92% respectively. We suspect a large amount of error is due to coordinating conjunctions, previously unseen words and brain regions of less commonly studied organisms. We found context windows, lemmatization and abbreviation expansion to be the most informative techniques. We encourage you to test new methods and applications of the dataset. Please contact us if you do, we would like to hear about and link to your work. The abstracts are from PubMed/Medline, specifically The Journal of Comparative Neurology.

Proper citation: Automated recognition of brain region mentions in neuroscience literature. (RRID:SCR_002731) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/activities/our-programs/pons/cumbo

Ontology of formal definitions (i.e., machine processable) for the types of structures commonly described in neuroanatomy.

Proper citation: Common Upper Mammalian Brain Ontology (RRID:SCR_003629) Copy   

•   Source: SciCrunch Registry

http://www.flyatlas.org/

FlyAtlas gives you a quick answer to the question: where is my gene of interest expressed/enriched in the adult fly? For each gene and tissue, you''re given the mRNA SIGNAL (how abundant the mRNA is), the mRNA ENRICHMENT (compared to whole flies), and the Affymetrix PRESENT CALL (out of 4 arrays, how many times it was detectably expressed). The dataset so far comprises 44 Affymetrix Dros2 expression arrays, each mapping the expression of 18770 transcripts - corresponding to the vast majority of known Drosophila genes. The dataset thus contains over 822800 separate datapoints. This website is intended to make the data easily accessible and comprehensible to mere mortals. FlyAtlas provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissue-specific signals.

Proper citation: FlyAtlas: the Drosophila gene expression atlas (RRID:SCR_005032) Copy   

•   Source: SciCrunch Registry

https://github.com/SciCrunch/NIF-Ontology

The NIF Standard Ontology (NIFSTD) is a collection of modular ontologies that provides an extensive set of terms and concepts important for the domains of neuroscience and biology, as well as the data and resources relevant for the life sciences. It is a core component of the Neuroscience Information Framework (NIF) project, a semantically enhanced portal for accessing and integrating neuroscience data, tools and information.

Proper citation: NIFSTD (RRID:SCR_005414) Copy   

•   Source: SciCrunch Registry