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Detailed multidimensional digital multimodal atlas of C57BL/6J mouse nervous system with data and informatics pipeline that can automatically register, annotate, and visualize large scale neuroanatomical and connectivity data produced in histology, neuronal tract tracing, MR imaging, and genetic labeling. MAP2.0 interoperates with commonly used publicly available databases to bring together brain architecture, gene expression, and imaging information into single, simple interface.Resource to visualise mouse development, identify anatomical structures, determine developmental stage, and investigate gene expression in mouse embryo. eMouseAtlas portal page allows access to EMA Anatomy Atlas of Mouse Development and EMAGE database of gene expression.EMAGE is freely available, curated database of gene expression patterns generated by in situ techniques in developing mouse embryo. EMA, e-Mouse Atlas, is 3-D anatomical atlas of mouse embryo development including histology and includes EMAP ontology of anatomical structure, provides information about shape, gross anatomy and detailed histological structure of mouse, and framework into which information about gene function can be mapped.
Proper citation: eMouseAtlas (RRID:SCR_002981) Copy
Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image.
Proper citation: NeuroSynth (RRID:SCR_006798) Copy
A startup research, development and innovation company based in The Grand Duchy of Luxembourg working on four major areas: Open Research, as Information Hub; Information Technology, as The Common Brain; Collective Awareness, as Manifesto; and Biophysics, as Human Extensibility. The Information Hub researches a methodology to conduct open research using a collaborative approach designed for multi-disciplinary interventions, multi-scope goal alignment, advanced analytics and a unified research experience for international cooperation. The Common Brain researches an open source intelligent architecture for future internet, one that is deeply sustainable over a highly distributed hybrid network, self-governed, heterogenous, and logical. Manifesto researches a methodology for a collaborative approach for policy making, open standardization, accreditation, verification and compliance. Human Extensibility researches the establishment of the scientific ground for a field of science concerned with the study of the physics and physiology of the human being, to provide techniques and genetic algorithms for human extensibility.
Proper citation: Brain.io (RRID:SCR_014527) Copy
Project to create complete mesoscale connectivity atlas of the C57Black/6 mouse brain and to subsequently generate its global neural networks.
Proper citation: Mouse Connectome Project (RRID:SCR_017313) Copy
Project focused on advancing knowledge of prognosis, trial design and treatment in Traumatic Brain Injury. IMPACT has developed and validated prognostic models for classification and characterization of TBI series, and participated in development of standardization of data collection in TBI studies.
Proper citation: IMPACT: International Mission for Prognosis and Analysis of Clinical Trials in TBI (RRID:SCR_000539) Copy
Interactive digital atlas and movies comprising 3-D reconstructions at all stages of human development from Carnegie Stage 12 (CS12; ~26 days post conception (dpc)) to CS23 (~ 56 dpc) and anatomical annotations of the 3-D models linked to an anatomical database. The 3D models are generated using Optical Projection Tomography (OPT; Sharpe et al 2002). The digital atlas is also linked to a gene expression database that has been developed from the Edinburgh Mouse Atlas Project gene expression database (EMAGE). In the future, the HUDSEN EADHB aims to provide the wider scientific and medical communities with a dynamic tool for documenting and analyzing gene expression patterns and morphological changes in the developing human brain.
Proper citation: HUDSEN Electronic Atlas of the Developing Human Brain (RRID:SCR_002056) Copy
https://github.com/markmikkelsen/Gannet
Free, open-source MATLAB-based software toolkit for analyzing edited 1H magnetic resonance spectroscopy (MRS) data.
Proper citation: Gannet (RRID:SCR_016049) Copy
https://lcn.salk.edu/WSMain.html
The Salk Institute's Laboratory for Cognitive Neuroscience (LCN) is dedicated to the study of the neural and genetic underpinnings of language and cognition. The LCN organizes its resources into two research foci: Linking Gene, Brain, and Cognition, and Language, Modality and the Brain. Linking Gene, Brain, and Cognition: Behavioral Neurogenetics: - This research is designed to increase the understanding of genetically based disorders, to investigate the consequences of genetic alterations on the development of the brain, and to explore the resulting alteration of cognitive capabilities. Language, Modality, and the Brain: - The focus of this research is to obtain a greater understanding of how language and cognition are represented in the brain. Sponsors: This resource is supported by LCN.
Proper citation: Salk Institute for Medical Research: Laboratory for Cognitive Neuroscience (RRID:SCR_001851) Copy
Computational neuroscience center that observes and models how functional activities in multiple brain areas interact dynamically to support human cognition, creativity and social interaction. Center research involves development computational methods and software, experimental methods and equipment, collection and analysis of human cognitive experiments, and collaborations to analyze data collected by other groups in such experiments. The Center has a 72-channel EEG recording system customized for use in the fMRI environment, and a very-high density Biosemi Active Two active-electrode EEG system, rapidly configurable either as a 256-channel system for a single subject or as two 136-channel systems for recording from two subjects simultaneously. In addition, UCSD now has a 306-channel MEG plus 128-channel EEG system (Neuromag/Elektra). Projects in the Center include studies of human cognitive processes including attention and memory, role of the anterior/posterior cingulate, time perception and emotional expression. Data acquisition includes high-density EEG, concurrent EEG and fMRI recording and analysis, and face video processing. Current analysis approaches include independent component and time-frequency analysis.
Proper citation: Swartz Center for Computational Neuroscience (RRID:SCR_001933) Copy
Data repository where researchers can publicly store and share unthresholded statistical brain activation maps produced by MRI and PET studies.
Proper citation: NeuroVault (RRID:SCR_003806) Copy
https://github.com/BlueBrain/BluePyOpt
An extensible framework for data-driven model parameter optimization that wraps and standardizes several existing open-source tools. BluePyOpt abstracts the optimization and evaluation tasks into various reusable and flexible discrete elements according to established best-practices. It also provides methods for setting up both small- and large-scale optimizations on a variety of platforms.
Proper citation: BluePyOpt (RRID:SCR_014753) Copy
Research facility for research on neurological and psychiatric disorders on the learning brain and the aging brain. The Centre utilizes a multidisciplinary approach to explore the causes and potential treatments of disorders like Alzheimer's disease, mental health and addiction, stroke and neurotrauma. The Centre focuses on translating research into patient care and therapies.
Proper citation: Djavad Mowafaghian Centre for Brain Health (RRID:SCR_013149) Copy
http://www.rad.upenn.edu/sbia/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. Software package used to simulate brain images with local growth / atrophy within a prescribed spherical region. Specifically, given an input image and its segmented image, the location of the center of the spherical region, and the radius of that sphere, it simulates new images that have tissue growth or shrinkage within that pre-specified brain region according to given rates (atrophy for rates less than one and growth for rates greater than one). The algorithm uses an iterative procedure that tries to achieve the given level of volumetric change for brain tissues within the region, by seeking a smooth deformation field, whose Jacobian determinants match the prescribed volume change rate within the region. Note that in the current software, the simulation of growth or atrophy for brain tissue requires that the input spherical region has to cover some CSF or background regions.
Proper citation: Atrophy Simulation Package (RRID:SCR_006046) Copy
https://www.braintest.org/brain_test/BrainTest
A portal of online studies that encourage community participation to tackle the most challenging problems in neuropsychiatry, including attention-deficit / hyperactivity disorder, schizophrenia, and bipolar disorder. Our approach is to engage the community and try to recruit tens of thousands of people to spend an hour of their time on our site. You folks will provide data in both brain tests and questionnaires, as well as DNA, and in return, we will provide some information about your brain and behavior. You will also be entered to win amazon.com gift cards. While large collaborative efforts were made in genetics in order to discover the secrets of the human genome, there are still many mysteries about the behaviors that are seen in complex neuropsychiatric syndromes and the underlying biology that gives rise to these behaviors. We know that it will require studying tens of thousands of people to begin to answer these questions. Having you, the public, as a research partner is the only way to achieve that kind of investment. This site will try to reach that goal, by combining high-throughput behavioral assessment using questionnaires and game-like cognitive tests. You provide the data and then we will provide information and feedback about why you should help us achieve our goals and how it benefits everyone in the world. We believe that through this online study, we can better understand memory and attention behaviors in the general population and their genetic basis, which will in turn allow us to better characterize how these behaviors go awry in people who suffer from mental illness. In the end, we hope this will provide better, more personalized treatment options, and ultimately prevention of these widespread and extremely debilitating brain diseases. We will use the data we collect to try to identify the genetic basis for memory and impulse control, for example. If we can achieve this goal, maybe we can then do more targeted research to understand how the biology goes awry in people who have problems with cognition, including memory and impulse control, like those diagnosed with ADHD, Schizophrenia, Bipolar Disorder, and Autism Spectrum Disorders. By participating in our research, you can learn about mental illness and health and help researchers tackle these complex problems. We can''t do it without your help.
Proper citation: Brain Test (RRID:SCR_006212) Copy
The Center for Interdisciplinary Brain Sciences Research (CIBSR) at the Stanford University School of Medicine is dedicated to research that will improve the lives and well-being of individuals with disorders of the brain and improve knowledge of healthy brain and behavioral development. CIBSR research staff are dedicated to identifying biological and environmental risk factors, understanding disease pathophysiology and developmental outcomes, and developing new treatments for neurodevelopmental, neurogenetic and neuropsychiatric disorders of childhood onset. Our research studies are truly multi/interdisciplinary as they bring together experts from the fields of psychiatry, neurology, psychology, computer science, biostatistics and genetics to explore and seek answers for complex questions related to brain-behavior relationships. Active research at CIBSR includes: * Mutlimodal imaging of the brain utilizing anatomical and functional magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS). * Behavioral, cognitive, and physiological assessment to address questions concerning the influence of biological and environmental factors on outcome. * The development of new biological and cognitive-behavioral treatments. * Development of brain image analysis methods and software.
Proper citation: Stanford University, Center for Interdisciplinary Brain Sciences Research (RRID:SCR_004134) Copy
http://www.icn.ucl.ac.uk/motorcontrol/
Using robotic devices to investigate human motor behavior, this group develops computational models to understand the underlying control and learning processes. By simulating novel objects or dynamic environments they study how the brain recalibrates well-learned motor skills or acquires new ones. These insights are used to design fMRI studies to investigate how these processes map onto the brain. They have developed a number of novel techniques of how to study motor control in the MRI environment, and how to analyze MRI data of the human cerebellum. They also study patients with stroke or neurological disease to further determine how the brain manages to control the body.
Proper citation: UCL Motor Control Group (RRID:SCR_005271) Copy
The FMRIB Centre is a multi-disciplinary neuroimaging research facility, which focuses on the use of Magnetic Resonance Imaging (MRI) for neuroscience research, along with related technologies such as Transcranial Magnetic Stimulation, transcranial Direct Cortical Stimulation and EEG. FMRIB is composed of research groups in all aspects of brain imaging research, including physics, analysis, basic science and clinical neuroscience. We were recently awarded 8 million pounds by the MRC, EPSRC, Wolfson Foundation and University of Oxford to purchase and install new 7T and 3T leading-edge MRI systems to enable us to image brain structure and function at even higher resolution than currently possible.
Proper citation: Oxford Centre for Functional MRI of the Brain (RRID:SCR_005283) Copy
Leading treatment, research and teaching center for complex neurological conditions based at the University Hospital and the UC College of Medicine. Its physicians and researchers have created national models for evidence-based treatment and research of complex conditions, including ischemic and hemorrhagic stroke, brain aneurysms, brain and spinal cord trauma, brain tumors, Parkinson's disease, epilepsy and seizure disorders, multiple sclerosis, trigeminal neuralgia, Alzheimer's disease and memory disorders, mood disorders, and neuromuscular disorders. UCNI includes a team of more than 100 experts from 15 specialties who collaborate across disciplines to provide the most comprehensive diagnoses and treatments possible.
Proper citation: University of Cincinnati Neuroscience Institute (RRID:SCR_005345) Copy
https://cnmdp.atlassian.net/wiki/spaces/CNMDP/overview
Platform to store, analyze, and share large amounts of various types of data to facilitate research, and ultimately, unravel the complex connections between the brain and the heart.
Proper citation: Cardio-Neuro-Mind Data Platform (RRID:SCR_027008) Copy
http://www.mrc-cbu.cam.ac.uk/Imaging
Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease.
Proper citation: CBU Imaging Wiki (RRID:SCR_003014) Copy
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