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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   

•   Source: SciCrunch Registry

http://adrc.ucsd.edu/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.med.unc.edu/bric/ideagroup/free-softwares/libra-longitudinal-infant-brain-processing-package

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   

•   Source: SciCrunch Registry

http://www.brain.northwestern.edu/index.html

The Cognitive Neurology and Alzheimer's Disease Center (CNADC) is a multidisciplinary organization dedicated to conducting research to discover how the brain coordinates mental functions such as memory, language, attention, and emotion; transferring the benefits of this research to patients with brain diseases that impair cognitive function; and training researchers and clinicians who want to work in this field. The CNADC's mission is to investigate the neurological basis of cognitive function, to elucidate causes of dementia, and to ensure that the patients and their families are the beneficiaries of resultant discoveries. * Clinical Services: Neurobehavior and Memory Health Clinical Services * Annual Grant Opportunities: Annual Core Pilot Project Funding Opportunities * Research Areas & Faculty: Alzheimer's Disease / Primary Progressive Aphasia / Frontal Dementia, Brain Endowment (Brains are permanently stored, and requests for tissue for research purposes are submitted to Dr. Bigio for review by the Northwestern Alzheimer's Disease Center); Cognitive Brain Mapping Group, Volunteer For A Study * Fellowships: Neuropathology Fellowship, Behavioral Neurology & Neuropsychiatry Fellowship * Training Programs: Mechanisms of Aging and Dementia (M.A.D.) Training Program; Training Program in the Neuroscience of Human Cognition

Proper citation: Northwestern University Cognitive Neurology and Alzheimers Disease Center (RRID:SCR_012747) Copy   

•   Source: SciCrunch Registry

https://www.nia.nih.gov/alzheimers

Portal for Alzheimer's disease that compiles, archives and disseminates information about current treatments, diagnostic tools and ongoing research for health professions, people with AD, their families and the public. The Center provides informational services and referrals for AD symptoms, diagnosis and treatment for patients; clinical trial information and literature searches for researchers; training materials and guidelines for caregivers; and Spanish language resources.

Proper citation: Alzheimer's Disease Education and Referral Center (RRID:SCR_012787) Copy   

•   Source: SciCrunch Registry

http://umcd.humanconnectomeproject.org

Web-based repository and analysis site for connectivity matrices that have been derived from neuroimaging data including different imaging modalities, subject groups, and studies. Users can analyze connectivity matrices that have been shared publicly and upload their own matrices to share or analyze privately.

Proper citation: USC Multimodal Connectivity Database (RRID:SCR_012809) Copy   

•   Source: SciCrunch Registry

http://www.zebrafinchatlas.org

Expression atlas of in situ hybridization images from large collection of genes expressed in brain of adult male zebra finches. Goal of ZEBrA project is to develop publicly available on-line digital atlas that documents expression of large collection of genes within brain of adult male zebra finches.

Proper citation: Zebra Finch Expression Brain Atlas (RRID:SCR_012988) Copy   

•   Source: SciCrunch Registry

http://ml-neuronbrowser.janelia.org/

Interactive web platform for anyone to explore, search, filter and visualize the single neuron reconstructions.

Proper citation: MouseLight Neuron Browser (RRID:SCR_016669) Copy   

•   Source: SciCrunch Registry

http://www.mricro.com

Software tool as a cross-platform NIfTI format image viewer. Used for viewing and exporting of brain images. MRIcroGL is a variant of MRIcron.

Proper citation: MRIcron (RRID:SCR_002403) Copy   

•   Source: SciCrunch Registry

https://github.com/PatternRecognition/OpenBMI

Software package for the development of Brain-Computer Interfaces with advanced pattern recognition algorithms. Used for analyzing brain signals which can be used to acquire, filter, process, classify and visualize brain signals in real time.

Proper citation: OpenBMI (RRID:SCR_016876) Copy   

•   Source: SciCrunch Registry

https://neurobot.incf.org

Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.

Proper citation: INCF-Neurobot (RRID:SCR_017004) Copy   

•   Source: SciCrunch Registry

https://team.inria.fr/empenn/

Project between Inria, Inserm, CNRS, and University of Rennes for biomedical image analysis for understanding neurological disease. Used to diagnose, monitor and deliver treatment for mental, neurological and substance use disorders by establishing multidisciplinary team between information sciences and medicine in medical imaging, neuroinformatics and population cohorts.

Proper citation: Empenn (RRID:SCR_017074) Copy   

•   Source: SciCrunch Registry

https://github.com/Frederik-D-Weber/cosleep

Software Python tool for sleep EEG analysis. Used for Closed and Open loop in Slow Ocillations, Sleep Stimulation in Auditory or Recording in full PSG using OpenBCI Cyton.

Proper citation: COsleep (RRID:SCR_017053) Copy   

•   Source: SciCrunch Registry