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http://www.massgeneral.org/children/services/treatmentprograms.aspx?id=1614

The Lurie Center for Autism is a highly successful program designed to evaluate and treat children and adults with a wide variety of developmental and handicapping conditions. Our mission is to provide the highest quality clinical, social and support services to those diagnosed with autism, pervasive developmental disorders and other developmental disabilities. The Lurie Center for Autism is unique because of the population it serves and because it uses a multidisciplinary approach that begins with comprehensive medical evaluations and extends to supporting the well-being of patients and families. Nurses, social workers, speech pathologists, occupational therapists, physical therapists, neuro-psychologists, special education professionals and family members are involved in the treatment processes in addition to physicians. Each has a depth of expertise in his/her respective field. The team, as a unit, plays an integral role in the continuum of care for individuals diagnosed with developmental disabilities. Our services and therapies include: * Extensive diagnostic evaluations * Medical, cognitive and behavioral interventions including speech and language * Speech therapy, occupational therapy, occupational with sensory integration therapy and physical therapy; psychological evaluation and counseling; * Parent skills training and family empowerment * Referral support for additional medical and educational resources at locations near each patient''s home and throughout the New England region The Lurie Center for Autism is committed to improving the medical, social and psychological well-being of children, adolescents, adults and families. To this end, our goals and objectives are to: * Provide a stable, consistent and structured environment within a medical context * Provide opportunities for each individual to achieve * Develop self control, social skills and self esteem in each individual * Support and educate families in order to transfer the learned skills to home, school, work and community environments * Provide teaching to physicians and professionals in training and to pursue research related to the treatment and causes of autism, pervasive developmental disorders and other devlopmental disorders of the central nervous system

Proper citation: Lurie Center for Autism (RRID:SCR_005456) Copy   

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http://nlmfoundation.org/

The primary mission of the Nancy Lurie Marks (NLM) Family Foundation is to help people with autism lead fulfilling and rewarding lives. The Foundation is committed to understanding autism from a scientific perspective, increasing opportunities and services available to the autism community and educating the public about autism. In pursuit of its mission, the Foundation develops and provides grants to programs in research, clinical care, policy, advocacy and education. Founded by Nancy Lurie Marks over 25 years ago, the NLM Family Foundation is one of the largest supporters of initiatives in these areas. The principal goal of the scientific program is to achieve a deeper understanding of the biological basis of autism, focusing on genetics, synaptic chemistry, the neurobiology of communication, systems biology and the physiology of movement. The Foundation funds peer-reviewed research, the development of collaborative investigator projects, and research fellowship programs. Through sponsorship of scientific conferences, symposia and workshops, the Foundation seeks to encourage innovation and provide a springboard to generate new avenues of shared inquiry. The NLM Family Foundation supports programs which focus on novel ways to improve the communication and social abilities of those with autism. Other programs are designed to increase advocacy for legal rights and access to support services for persons with autism, and to increase community understanding and openness to inclusion through education and documentary films.

Proper citation: Nancy Lurie Marks Family Foundation (RRID:SCR_005455) Copy   

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http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

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http://www.musicianbrain.com/#index

The human brain has the remarkable ability to adapt in response to changes in the environment over the course of a lifetime. This is the mechanism for learning, growth, and normal development. Similar changes or adaptations can also occur in response to focal brain injuries, e.g., partially-adapted neighboring brain regions or functionally-related brain systems can either substitute for some of the lost function or develop alternative strategies to overcome a disability. Through ongoing research, the Music and Neuroimaging Laboratory''s mission is to: * Reveal the perceptual and cognitive aspects of music processing including the perception and memory for pitch, rhythmic, harmonic, and melodic stimuli. * Investigate the use of music and musical stimuli as an interventional tool for educational and therapeutic purposes. * Reveal the behavioral and neural correlates of learning, skill acquisition, and brain adaptation in response to changes in the environment or brain injury in the developing and adult brain. * Reveal the determinants and facilitators for recovery from brain injury. Project topics include: Aphasia Therapy, Singing and Speaking, Tone Deafness / Congenital Amusia, Motor Recovery Studies, Music and Emotions, Music and Autism, Children and Music Making, Brain Stimulation, Adult Musician Studies, Absolute Pitch Studies, Acute Stroke Studies

Proper citation: Music and Neuroimaging Laboratory (RRID:SCR_005447) Copy   

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http://cmrm.med.jhmi.edu/

The goal of our laboratory is to develop new MR technologies to improve the resolution and contrast of MRI and apply them to observe brain anatomy to answer various types of biological questions. Currently we have three major research targets: Characterization of mouse brain development; Human white matter anatomy and development; and Development of diffusion tensor imaging technique and technology dissemination. The DTI database (Under the DTI Download Tab) contains raw and processed DTI data of normal population. Currently we have 2.5 mm isotropic resolution images and 2.2 mm isotropic resolution images. Only 2.5 mm data are available from this site. If you are interested in the high-resolution images, please contact susumu @ mri.jhu.edu. This database is open to public once the user is registered. Basic imaging parameters can be also downloaded.

Proper citation: Johns Hopkins Laboratory of Brain Anatomical MRI (RRID:SCR_005280) Copy   

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http://en.wikipedia.org/wiki/Gene_Wiki

The Gene Wiki is a project that facilitates transferring information on human genes to Wikipedia article stubs with the goal of promoting collaboration and expansion of the articles. Number of gene articles The human genome contains an estimated 20,00025,000 protein-coding genes. The goal of the Gene Wiki project is to create seed articles for every notable human gene, that is, every gene whose function has been assigned in the peer-reviewed scientific literature. Approximately half of human genes have assigned function, therefore the total number of articles seeded by the Gene Wiki project would be expected to be in the range of 10,000 - 15,000. To date, approximately 10,271 articles have been created or augmented to include Gene Wiki project content. Expansion Once seed articles have been established, the hope and expectation is that these will be annotated and expanded by editors ranging in experience from the lay audience to students to professionals and academics. Proteins encoded by genes The majority of genes encode proteins hence understanding the function of a gene generally requires understanding of the function of the corresponding protein. In addition to including basic information about the gene, the project therefore also includes information about the protein encoded by the gene. Stubs for the Gene Wiki project are created by a bot and contain links to the following primary gene/protein databases * HUGO Gene Nomenclature Committee official gene name * Entrez Gene database * OMIM (Mendelian Inheritance in Man) database that catalogues all the known diseases with a genetic component * Amigo Gene Ontology * HomoloGene gene homologs in other species * SymAtlasRNA gene expression pattern in tissues * Protein Data Bank 3D structure of protein encoded by the gene * Uniprot (universal protein resource) a central repository of protein data

Proper citation: Gene Wiki (RRID:SCR_005317) Copy   

•   Source: SciCrunch Registry

http://www.aids.gov/

AIDS.gov works to increase HIV testing and care among people most at-risk for, or living with, HIV, by using emerging communication strategies to provide access to Federal HIV information, policies (e.g. the National HIV/AIDS Strategy), programs, and resources. Objectives # Expand visibility of timely and relevant Federal HIV policies, programs, and resources to the American public. # Increase use of new media tools by government, minority, and other community partners to extend the reach of HIV programs to communities at greatest risk. # Increase knowledge about HIV and access to HIV services for people most at-risk for, or living with, HIV. Unless otherwise noted, material presented on the AIDS.gov Web site is considered Federal government information and is in the public domain. That means this information may be freely copied and distributed. We request that you use appropriate attribution to AIDS.gov. AIDS.gov receives planning guidance from a cross agency planning group and uses a logic model (70 KB) and Communications Plan (702 KB) to guide AIDS.gov activities.

Proper citation: AIDS.gov (RRID:SCR_005356) Copy   

•   Source: SciCrunch Registry

http://thebeautifulbrain.com/

The Beautiful Brain explores the latest findings from the ever-growing field of neuroscience through monthly long-form essays, reviews, galleries, short-form blog posts and more, with particular attention to the dialogue between the arts and sciences. The site illuminates important new questions about creativity, the mind of the artist, and the mind of the observer that modern neuroscience is helping us to answer, or at least to provide part of an answer. Instances where art seeks to answer questions of a traditionally scientific nature are also of great interest, and for that reason you will hear from artists as well as scientists on The Beautiful Brain. The Beautiful Brain Podcast also explores the latest findings from the ever-growing field of neuroscience, with particular attention to the dialogue between the arts and sciences. In this monthly program, host Noah Hutton reports on news from the world of brain science, interviews important thinkers about their work, and reviews new literature in the field. The show illuminates important new questions about creativity, the mind of the artist, and the mind of the observer that modern neuroscience is helping us to answer, or at least to provide part of an answer. Instances where art seeks to answer questions of a traditionally scientific nature are also of great interest, and for that reason you will hear from artists as well as scientists on The Beautiful Brain. Subscribe today to receive a brand new episode each month.

Proper citation: Beautiful Brain (RRID:SCR_005472) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.com

Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas.

Proper citation: Neuromorphometrics (RRID:SCR_005656) Copy   

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http://publications.nigms.nih.gov/chemhealth/

Visit ChemHealthWeb for research highlights, chemist profiles, games and videos and other Web extras. The NIGMS Chemistry of Health booklet describes basic chemistry and biochemistry research that spurs a better understanding of human health.

Proper citation: ChemHealthWeb (RRID:SCR_005851) Copy   

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http://rgd.mcw.edu

Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources.

Proper citation: Rat Genome Database (RGD) (RRID:SCR_006444) Copy   

•   Source: SciCrunch Registry

http://users.loni.ucla.edu/~shattuck/brainsuite/

Suite of image analysis tools designed to process magnetic resonance images (MRI) of the human head. BrainSuite provides an automatic sequence to extract genus-zero cortical surface mesh models from the MRI. It also provides a set of viewing tools for exploring image and surface data. The latest release includes graphical user interface and command line versions of the tools. BrainSuite was specifically designed to guide its users through the process of cortical surface extraction. NITRC has written the software to require minimal user interaction and with the goal of completing the entire process of extracting a topologically spherical cortical surface from a raw MR volume within several minutes on a modern workstation. The individual components of BrainSuite may also be used for soft tissue, skull and scalp segmentation and for surface analysis and visualization. BrainSuite was written in Microsoft Visual C using the Microsoft Foundation Classes for its graphical user interface and the OpenGL library for rendering. BrainSuite runs under the Windows 2000 and Windows XP Professional operating systems. BrainSuite features include: * Sophisticated visualization tools, such as MRI visualization in 3 orthogonal views (either separately or in 3D view), and overlayed surface visualization of cortex, skull, and scalp * Cortical surface extraction, using a multi-stage user friendly approach. * Tools including brain surface extraction, bias field correction, voxel classification, cerebellum removal, and surface generation * Topological correction of cortical surfaces, which uses a graph-based approach to remove topological defects (handles and holes) and ensure a tessellation with spherical topology * Parameterization of generated cortical surfaces, minimizing a harmonic energy functional in the p-norm * Skull and scalp surface extraction

Proper citation: BrainSuite (RRID:SCR_006623) Copy   

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https://hirnetwork.org/consortium/hpac

Consortium is investigating physical and functional organization of human islet tissue environment, cell-cell relationships within pancreatic tissue ecosystem, and contributions of non endocrine components (acinar, ductal, vascular, perivascular, neuronal, lymphatic, immune) to islet cell function and dysfunction. HPAC consists of research grants as well as the Human Pancreas Analysis Program (HPAP).

Proper citation: HIRN Human Pancreas Analysis Consortium (RRID:SCR_017583) Copy   

•   Source: SciCrunch Registry

http://www.jwatcher.ucla.edu

Software Java tool for quantitative analysis of behavior. Used to address any theoretical problem that requires complex sequence of actions to be scored by human observer. Runs on microcomputer providing Java Virtual Machine[TM] and has been tested on Windows[TM] and Macintosh[TM] systems. Legacy version (version 0.9) works on older systems (Macintosh OS-9 and Windows-98), while Version 1.0 works well on Macintosh OS-X and Windows XP systems. JWatcher Video works best on Windows XP systems and has reduced functionality running in Macintosh OS-X. JWatcher-Palm can be used to acquire data on Palm OS[TM] equipped device and analyze it on your main computer.

Proper citation: JWatcher (RRID:SCR_017595) Copy   

•   Source: SciCrunch Registry

https://motrpac-data.org/

National research consortium designed to discover and perform preliminary characterization of range of molecular transducers that underlie effects of physical activity in humans. Used to study molecular changes that occur during and after exercise and to advance understanding of how physical activity improves and preserves health. Six year program into mechanisms of how physical activity improves health and prevents disease led by NIH Office of Strategic Coordination, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Aging, and National Institute of Biomedical Imaging and Bioengineering.

Proper citation: MoTrPAC Data Hub (RRID:SCR_017611) Copy   

•   Source: SciCrunch Registry

https://www.t2depigenome.org/

Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers.

Proper citation: Diabetes Epigenome Atlas (RRID:SCR_016441) Copy   

•   Source: SciCrunch Registry

https://www.pbcconsortium.org/

Portal to provide a repository for beta-cell data, to connect researchers from different backgrounds interested in contributing data, models and/or ideas for new insights into beta-cell biology. Used to understand beta-cell biology and diabetes through a cross-disciplinary approach for the assembly of spatiotemporal multi-scale whole cell models of human pancreatic beta-cells.

Proper citation: The Pancreatic Beta-Cell Consortium (RRID:SCR_016328) Copy   

•   Source: SciCrunch Registry

http://www.dhal.com/viewboxindex.htm

Software for cephalometric analysis. Customizable. Allows rendering, viewing and measuring of 3D data from CT scanners. Used in orthodontic departments for analysis of the dental and skeletal relationships of a human skull.

Proper citation: Viewbox4, Cephalometric software (RRID:SCR_016481) Copy   

•   Source: SciCrunch Registry

https://joinsolver.niaid.nih.gov

Software tool to analyze human immunoglobulin V(D)J recombination and performing Ig nucleotide and amino acid alignment, as well as extensive mutation and Complementarity Determining Region 3 (CDR3H) analysis.

Proper citation: JOINSOLVER (RRID:SCR_016619) Copy   

•   Source: SciCrunch Registry

https://github.com/afids

Open framework for evaluating correspondence between brain images and teaching neuroanatomy.

Proper citation: AFIDs (RRID:SCR_016623) Copy   

•   Source: SciCrunch Registry