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http://www.cogneurosociety.org/
The Cognitive Neuroscience Society (CNS) is committed to the development of mind and brain research aimed at investigating the psychological, computational, and neuroscientific bases of cognition. Since its founding in 1994, the Society has been dedicated to bringing its 2000 worldwide members the latest research and dialogues in order to facilitate public, professional and scientific discourse. The term cognitive neuroscience has now been with us for almost three decades, and identifies an interdisciplinary approach to understanding the nature of thought. Our members, who are engaged in research focused on elucidating the biological underpinnings of mental processes, form a network of scientists and scholars working at the interface of mind, brain and behavior research. The findings of this research are presented at our member-supported annual scientific conference. The three-day program of plenary speakers, symposia, posters and special events covers all aspects of cognitive neuroscience research. The Society also disseminates information regarding employment opportunities, training fellowships, research grants, and information on related scientific conferences in its monthly newsletter. Our members can receive the Journal of Cognitive Neuroscience at a substantial discount.
Proper citation: Cognitive Neuroscience Society (RRID:SCR_001990) Copy
The Brain and Behavior Research Foundation (formerly NARSAD, the National Alliance for Research on Schizophrenia and Depression) is committed to alleviating the suffering of mental illness by awarding grants that will lead to advances and breakthroughs in scientific research. Additionally, learn about brain and behavior disorders and upcoming events.
100% of all donor contributions for research are invested in NARSAD Grants leading to discoveries in understanding causes and improving treatments of disorders in children and adults, such as depression, bipolar disorder, schizophrenia, autism, attention deficit hyperactivity disorder, and anxiety disorders like obsessive-compulsive and post-traumatic stress disorders. Over a quarter of a century, we have awarded nearly $300 million worldwide to more than 3,000 scientists carefully selected by our prestigious Scientific Council. We receive no government funding. All of our work relies on contributions from families, foundations and other caring donors.
Proper citation: Brain and Behavior Research Foundation (RRID:SCR_001992) Copy
This is a topical portal dedicated to the communication of news, science, and information of interest to the brain mapping community, and to sharing and promoting the science of brain mapping. The purpose and goal of brain mapping is to advance the understanding of the relationship between structure and function in the human brain. Scientists in this field seek to gain knowledge of the physical processes that underly human sensation, attention, awareness and cognition. These results are immediately applicable to surgical intervention, to the design of medical interventions and to the treatment of psychological and psychiatric disorders.
Proper citation: www.brainmapping.org (RRID:SCR_001987) Copy
The International Society for Cerebral Blood Flow & Metabolism is a corporation operated exclusively for the purpose of promoting the advancement of education in the science of cerebral blood flow and metabolism throughout the world. The ISCBFM produces a quarterly newsletter, an official journal (Journal of Cerebral Blood Flow & Metabolism), have a yearly meeting, opportunities to host summer schools and a job board. ISCBFM members organize summer schools which are courses that have the aim to bring together young and experienced scientists for educational purposes. The biennial Brain Meetings also have a substantial part of the time allocated for educational purposes for young scientists interested in the field of cerebral blood flow and metabolism. Preference will be given to suggestions that are seen as a complement to scheduled courses in connection with the Brain Meetings and to courses that are given in between Brain Meetings.
Proper citation: ISCBFM - International Society for Cerebral Blood Flow and Metabolism (RRID:SCR_001989) Copy
http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=1
International society dedicated to advancing understanding of anatomical and functional organization of human brain using neuroimaging. Primary function of society is to provide educational forums for exchange of up-to-the-minute and groundbreaking research across neuroimaging methods and applications. OHBM achieves this through its member led committees and Annual Meeting that is held in different locations throughout the world.
Proper citation: Organization for Human Brain Mapping (RRID:SCR_001978) Copy
http://www.neuralgate.org/download/NeuralAct
Software to visualize electrocorticographic (ECoG) and possibly also other kinds of neural activity (EEG / EMG/ DOT) on a 3D model of the cortical surface. The tool has been used to produce cortical activation images and image sequences in several recent studies using ECoG. The tool is written in matlab. The package is thoroughly documented and includes a demo.
Proper citation: NeuralAct (RRID:SCR_002066) Copy
The UCSD ADRC conducts a wide variety of research studies dedicated to understanding the causes, clinical features, and treatments for Alzheimer's disease and related memory disorders. The goal of the center is to discover ways to prevent and eradicate the disease. The Center aims to maintain research subjects, clinical resources, and clinical data to support ongoing and proposed research and to assist in the development of new clinical and interdisciplinary research. An Alzheimer's brain bank with well characterized cases, including Mild Cognitive Impairment and Lewy Body disease, is maintained at the Center.
Proper citation: Shiley-Marcos Alzheimer's Disease Research Center (RRID:SCR_001928) Copy
http://www.thevirtualbrain.org/
Simulation software for modeling the entire human brain by combining structural and functional data from empirical neuroimaging data. It can generate local field potentials, EEG, MEG and fMRI BOLD data based on neural mass models. The user can also modify the model parameters to match clinical conditions from focal lesions or degenerative disorders.
Proper citation: Virtual brain (RRID:SCR_002249) Copy
http://www.nitrc.org/projects/voxbo
Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more.
Proper citation: VoxBo (RRID:SCR_002166) Copy
https://www.humanbrainproject.eu/
Global, collaborative effort for neuroscience, medicine and computing to understand brain, its diseases and its computational capabilities. Goal is to obtain access to research, data sources, platforms and infrastructures offered by other organisations, and enabling organizations outside HBP to use HBP platforms to pursue their own research. Coordinating these activities is the responsibility of the European Research Programme.
Proper citation: Human Brain Project EU (RRID:SCR_002241) Copy
https://www.nitrc.org/projects/uncbcp_4d_atlas/
Software package for constructing longitudinal atlases, which are the necessary steps for many brain-related applications.
Proper citation: 4D Atlases Construction (RRID:SCR_002227) Copy
http://olympus.magnet.fsu.edu/galleries/ratbrain/index.html
An image gallery of the rat brain labeled via immunofluorescence in coronal, horizontal, and sagittal thick sections using laser scanning confocal microscopy.
Proper citation: Confocal Microscopy Image Gallery - Rat Brain Tissue Sections (RRID:SCR_002432) Copy
http://www.nitrc.org/projects/msseg
Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format.
Proper citation: MS lesion segmentation challenge 2008 (RRID:SCR_002425) Copy
http://millette.med.sc.edu/Lab%209%2610/histology_of_nervous_tissue.htm
A website for a neuroscience lab class from the University of South Carolina that contains images of different parts of the nervous system and allows students to identify each part and answer questions about it. You should be able to (a) recognize nervous tissue in routine histological sections; (b) distinguish peripheral nerves from dense CT and smooth muscle; (c) recognize the morphological differences between myelinated and unmyelinated nerves at both the light microscopic and electron microscopic levels; (d) recognize nerve cell bodies and their component parts; (e) identify and differentiate dendrites and axons; (f) understand and identify various types of neuroglia, including Schwann cells; (g) understand and identify the structural relationship of the Schwann cell cytoplasm and plasma membrane enveloping axons; (h) understand the general features of nerve synapses. You should be able to draw nerves, cell bodies, Nodes of Ranvier, synapses etc. as they would appear under both the electron and light microscopes.
Proper citation: Histology of Nervous Tissue Laboratory Course (RRID:SCR_002367) Copy
A toolbox with graphical user interfaces for processing infant brain MR images. Longitudinal (or single-time-point) multimodality (including T1, T2, and FA) (or single-modality) data can be processed using the toolbox. Main functions of the software (step by step) include image preprocessing, brain extraction, tissue segmentation and brain labeling. Linux operating system (64 bit) is required. A workstation or server with memory >8G is recommended for processing many images simutaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing.
Proper citation: iBEAT (RRID:SCR_002470) Copy
http://mialab.mrn.org/index.html
MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.
Proper citation: MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) Copy
http://www.brain-map.org/api/index.html
API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service
Proper citation: Allen Brain Atlas API (RRID:SCR_005984) Copy
A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications.
Proper citation: Viking Viewer for Connectomics (RRID:SCR_005986) Copy
http://www.nitrc.org/projects/abc
A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.
Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy
http://brainvis.wustl.edu/wiki/index.php/Caret:About
Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems.
Proper citation: Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) Copy
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