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http://scienceblogs.com/channel/brain-and-behavior/
ScienceBlogs posts about Brain & Behavior.
Proper citation: ScienceBlogs: Brain and Behavior (RRID:SCR_005159) Copy
http://cmrm.med.jhmi.edu/cmrm/atlas/human_data/file/JHUtemplate_newuser.html
DTI white matter atlases with different data sources and different image processing. These include single-subject, group-averaged, B0 correction, processed atlases (White Matter Parcellation Map, Tract-probability maps, Conceptual difference between the WMPM and tract-probability maps), and linear or non-linear transformation for automated white matter segmentation. # Adam single-subject white matter atlas (old version): These are electronic versions of atlases published in Wakana et al, Radiology, 230, 77-87 (2004) and MRI Atlas of Human White Matter, Elsevier. ## Original Adam Atlas: 256 x 256 x 55 (FOV = 246 x 246 mm / 2.2 mm slices) (The original matrix is 96x96x55 (2.2 mm isotropic) which is zerofilled to 256 x 256 ## Re-sliced Adam Atlas: 246 x 246 x 121 (1 mm isotropic) ## Talairach Adam: 246 x 246 x 121 (1 mm isotropic) # New Eve single-subject white matter atlas: The new version of the single-subject white matter atlas with comprehensive white matter parcellation. ## MNI coordinate: 181 x 217 x 181 (1 mm isotropic) ## Talairach coordinate: 181 x 217 x 181 (1 mm isotropic) # Group-averaged atlases: This atlas was created from their normal DTI database (n = 28). The template was MNI-ICBM-152 and the data from the normal subjects were normalized by affine transformation. Image dimensions are 181x217x181, 1 mm isotropic. There are two types of maps. The first one is the averaged tensor map and the second one is probabilistic maps of 11 white matter tracts reconstructed by FACT. # ICBM Group-averaged atlases: This atlas was created from ICBM database. All templates follow Radiology convention. You may need to flip right and left when you use image registration software that follows the Neurology convention.
Proper citation: DTI White Matter Atlas (RRID:SCR_005279) Copy
http://med.brown.edu/neurology/brainbank/index.html
A tissue resource center which facilitates research into the relationship between Alzheimer's disease and other brain disorders such as strokes and mental illnesses. Most donations have been obtained from Alzheimer's patients. Normal controls are available, many of which are from subjects with close relatives with Alzheimer's. The Brown BTRC also supports a collection of brain tumor cases that were harvested from patients who underwent surgery and who were enrolled in a clinical trial for the development of new treatments for brain cancer.
Proper citation: Brown Brain Tissue Resource Center (RRID:SCR_005392) Copy
From climate change to intelligent design, HIV/AIDS to stem cells, science education to space exploration, science is figuring prominently in our discussions of politics, religion, philosophy, business and the arts. New insights and discoveries in neuroscience, theoretical physics and genetics are revolutionizing our understanding of who are are, where we come from and where we''re heading. Launched in January 2006, ScienceBlogs is a portal to this global dialogue, a digital science salon featuring the leading bloggers from a wide array of scientific disciplines. Today, ScienceBlogs is the largest online community dedicated to science. We believe in providing our bloggers with the freedom to exercise their own editorial and creative instincts. We do not edit their work and we do not tell them what to write about. We have selected our 80+ bloggers based on their originality, insight, talent, and dedication and how we think they would contribute to the discussion at ScienceBlogs. Our role, as we see it, is to create and continue to improve this forum for discussion, and to ensure that the rich dialogue that takes place at ScienceBlogs resonates outside the blogosphere. ScienceBlogs is always interested in bringing new contributors into our community. If you''re interested in blogging with us, please fill out our application, and we''ll be in touch.
Proper citation: ScienceBlogs (RRID:SCR_005197) Copy
https://support.inscopix.com/search/site/Mosaic
Mosaic software features apps designed to help you derive deeper insights from videos of large scale circuit dynamics by Inscopix Inc.
Proper citation: Mosaic (RRID:SCR_017408) Copy
https://github.com/dorianps/LESYMAP
Software R package to conduct lesion-to-symptom mapping from human MRI data.Takes lesion maps and cognitive performance scores from patients with stroke, and maps brain areas responsible for cognitive deficit.
Proper citation: LESYMAP (RRID:SCR_017967) Copy
Five data sets containing quasi-stationary, artifact-free EEG signals both in normal subjects and epileptic patients were put in the web by Ralph Andrzejak from the Epilepsy center in Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration.
Proper citation: EEG time series Data Sets (RRID:SCR_001579) Copy
http://www.cma.mgh.harvard.edu/
A center dedicated to developing and applying morphometric methods to biomedical imaging data such as high-resolution MRI. The lab uses automated and semi-automated software such that MRI brain images are segmented into anatomical regions of interest. Projects in both basic and applied brain research include research on strokes and tumors; medical image processing research includes shape analysis of anatomical brain regions and measurement and analysis of brain volumes.
Proper citation: MGH Center for Morphometric Analysis (RRID:SCR_000885) Copy
http://blog.wholebraincatalog.org/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. The blog of the Whole Brain Catalog.
Proper citation: Whole Brain Catalog Blog (RRID:SCR_000582) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on 7/28/13. Core facility of Columbia Neuroscience with the goal of establishing a collaborative and multi-investigator neuroimaging environment that is focused on the investigation of the neurocircuitry of the brain that underlies cognition, perception and action, and also the development of clinical applications that enhance the goals of personalized medicine. Within this environment the specific current research interests of the Hirsch group include several related directions of investigation. The first is conscious and subconscious neural processes that mediate emotion and cognition in healthy individuals and in patients with psychiatric disorders. This direction also includes neurocircuitry that is characteristic of disorders of consciousness such as minimally conscious or vegetative states, self and visual awareness, and attention. Neurocircuitry of other complex cognitive processes such as decisions, inductive and deductive reasoning, language, truthfulness and top-down influences of expectation, reward, and regulation on early visual and mid-level perceptual and emotional systems. On-going projects targeted for clinical applications include benefits for neurosurgery such as the development of task batteries to map the cortical locations of essential functions such as language, motor, sensation, memory, emotion and sensory functions including visions, audition and the chemical senses. Computational innovations for labeling correspondence between brain structure and specific functional regions are under development to achieve the highest interpretive precision. Current projects include integration of EEG and fMRI techniques to localize seizuregenic cortex in relation to eloquent and functioning cortex for neurosurgical planning; integration of TMS and fMRI to discriminate essential and associative language-sensitive cortical areas; and integration of VEP, EEG and fMRI to inform assessments of visual disease secondary to stroke or neural degeneration. Projects intended to refine and enhance diagnosis of psychiatric disorders such as anxiety, depression, and eating disorders include development of specialized paradigms to target dysfunctional neurocircuitry such as emotional systems (amygdala and basal ganglia) and control and regulatory systems (cingulate and pre-frontal cortex). Comparison of before-treatment images with after-treatment images to inform models of both treatment and disease and investigation of the hypothesis that individual genetic and functional differences have predictive value for treatment options and outcome are currently underway. The lab has pioneered techniques for functional mapping of single patients, and operates an active clinical service for mapping individuals for neurosurgical planning, assessments of the neurocircuitry that underlie acquired or inherited disabilities and the mechanisms of neuroplasticity that restore lost functions are actively investigated using both groups and single subject studies. :
Proper citation: fMRI Research Center at Columbia (RRID:SCR_002658) Copy
http://fcon_1000.projects.nitrc.org/indi/pro/BeijingShortTR.html
Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information
Proper citation: Beijing: Short TR Study (RRID:SCR_003502) Copy
Biomedical technology resource center specializing in novel approaches and tools for neuroimaging. It develops novel strategies to investigate brain structure and function in their full multidimensional complexity. There is a rapidly growing need for brain models comprehensive enough to represent brain structure and function as they change across time in large populations, in different disease states, across imaging modalities, across age and sex, and even across species. International networks of collaborators are provided with a diverse array of tools to create, analyze, visualize, and interact with models of the brain. A major focus of these collaborations is to develop four-dimensional brain models that track and analyze complex patterns of dynamically changing brain structure in development and disease, expanding investigations of brain structure-function relations to four dimensions.
Proper citation: Laboratory of Neuro Imaging (RRID:SCR_001922) Copy
http://fcon_1000.projects.nitrc.org/indi/pro/Quiron-Valencia.html
Resting state datasets, including an anatomical as well as a resting state fMRI scan, collected from a community sample in Valencia, Spain. The first release includes data for 45 participants. Participants were instructed to keep their eyes open during the resting state scan, no visual stimulus was presented. The following data are released for every participant: * Scanner Type: Philips Achieva 3T-TX * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * At least one 6-minute resting state fMRI scan (R-fMRI), eyes open, no visual stimulus presented * Demographic Information
Proper citation: Quiron-Valencia Sample (RRID:SCR_003538) Copy
http://www.linked-neuron-data.org/
Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.
Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy
https://www.mcdb.ucla.edu/Research/Hartenstein/dbla/index.html
Atlas providing structure and development of Drosophila brain lineages. Used to learn about projection pattern of lineages as first step towards reconstructing and understanding all neurons.
Proper citation: Drosphila Brain Lineage Atlas (RRID:SCR_017507) Copy
http://findlab.stanford.edu/functional_ROIs.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Atlas of functional ROIs (fROIs) containing 499 regions, with extensive gray matter coverage. Atlases are available for download directly from the website.
Proper citation: 499 fROI atlas (RRID:SCR_014756) Copy
http://connectivity.brain-map.org/transgenic
Data detailing transgene expression in Cre and other driver lines for adult and developing brain. Experiments include colorimetric in situ hybridization, fluorescent in situ hybridization and other histological methods. Expression maps of transgenic Cre and other driver lines in mice.
Proper citation: Allen Brain Atlas expression map of Cre and other drivers (RRID:SCR_017510) Copy
Atlas with global nervous system nomenclature ontology and flatmaps for structure of rat brain. Open access resource for neuroscience community.
Proper citation: Brain Maps (RRID:SCR_017314) Copy
http://www.brain-connectivity-toolbox.net
A large selection of complex network measures in Matlab that are increasingly used to characterize structural and functional brain connectivity datasets. Several people have contributed to the toolbox, and if you wish to contribute with a new function or set of functions, please contact Olaf Sporns. All efforts have been made to avoid errors, but users are strongly urged to independently verify the accuracy and suitability of toolbox functions for the chosen application. Please report bugs or substantial improvements.
Proper citation: Brain Connectivity Toolbox (RRID:SCR_004841) Copy
http://www.fmri.wfubmc.edu/cms/software
Research group based in the Department of Radiology of Wake Forest University School of Medicine devoted to the application of novel image analysis methods to research studies. The ANSIR lab also maintains a fully-automated functional and structural image processing pipeline supporting the image storage and analysis needs of a variety of scientists and imaging studies at Wake Forest. Software packages and toolkits are currently available for download from the ANSIR Laboratory, including: WFU Biological Parametric Mapping Toolbox, WFU_PickAtlas, and Adaptive Staircase Procedure for E-Prime.
Proper citation: Advanced Neuroscience Imaging Research Laboratory Software Packages (RRID:SCR_002926) Copy
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