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http://www.chibi.ubc.ca/WhiteText/

Freely available corpus of manually annotated brain region mentions created to facilitate text mining of neuroscience literature. The corpus contains 1,377 abstracts with 18,242 brain region annotations. Interannotator agreement was evaluated for a subset of the documents, and was 90.7% and 96.7% for strict and lenient matching respectively. We observed a large vocabulary of over 6,000 unique brain region terms and 17,000 words. For automatic extraction of brain region mentions we evaluated simple dictionary methods and complex natural language processing techniques. The dictionary methods based on neuroanatomical lexicons recalled 36% of the mentions with 57% precision. The best performance was achieved using a conditional random field (CRF) with a rich feature set. Features were based on morphological, lexical, syntactic and contextual information. The CRF recalled 76% of mentions at 81% precision, by counting partial matches recall and precision increase to 86% and 92% respectively. We suspect a large amount of error is due to coordinating conjunctions, previously unseen words and brain regions of less commonly studied organisms. We found context windows, lemmatization and abbreviation expansion to be the most informative techniques. We encourage you to test new methods and applications of the dataset. Please contact us if you do, we would like to hear about and link to your work. The abstracts are from PubMed/Medline, specifically The Journal of Comparative Neurology.

Proper citation: Automated recognition of brain region mentions in neuroscience literature. (RRID:SCR_002731) Copy   

•   Source: SciCrunch Registry

https://neuropsychological-assessment-tests.com/sanzen-tower-london-test

CATs Tower of London test is a free, computer-based software test originally developed by Shallice (1982) to investigate problem solving in subjects with damage to the frontal lobes. The CATs Tower of London Test comes with one preprogrammed test along with extensive normative data for that test. You can also create a test using your design. Briefly, subjects are required to move colored beads from a window on the left (working area) until they achieve the arrangement in the window on the right (goal position). Subjects are instructed to try to achieve the goal arrangement in as few moves as possible. The software contains a Tower of London test. The test contains trials with 3 beads and 3 pegs, 4 beads and 4 pegs, and 5 beads and 5 pegs. You can use the Setup screen to create a test using your design. A test can contain 3, 4, and 5 bead problems with varying number of moves required for the optimal solution. In Shallice's initial investigation using the Tower of London, patients with damage to the left anterior frontal lobe demonstrated impaired planning (i.e., greater number of moves required for solution). Patients with damage to the right anterior, and left or right posterior areas of the frontal lobes were not impaired. Thus, results from this initial study provided support for the view that the left anterior frontal lobe area is involved in the planning required for solving the Tower of London test. Recent studies using neuroimaging techniques support this notion. Studies using regional cerebral blood flow (rCBF) imaging indicate an involvement of the left frontal lobes in the planning required for successfully completing the Tower of London puzzle. Studies of patients with damage to the frontal lobes indicate less cortical specificity, but are consistent with the view that the frontal lobes are involved in the planning required for solving this puzzle.

Proper citation: Colorado Assessment Tests - Tower of London (RRID:SCR_003507) Copy   

•   Source: SciCrunch Registry

http://www.bcgsc.ca/project/pleiades-promoter-project

Project to generate human DNA promoters of less than 4 kb (MiniPromoters) to drive gene expression in defined brain regions of therapeutic interest for diseases such as Alzheimer, Parkinson, Huntington, Amyotrophic Lateral Sclerosis, Multiple Sclerosis, Spinocerebellar Ataxia, Depression, Autism, and Cancer. Project develops and shares tools like human MiniPromoters that drive region- and cell-specific gene expression in the mouse brain, expression constructs, mouse embryonic stem cell lines, and knock-in mice all of which carry brain-specific MiniPromoters. Project is daughter of Genome Canada Project, Atlas of Gene Expression in Mouse Development, within which mouse brain gene expression data have already been gathered. Project team has collaborated with International BioPharma Solutions Ltd., management and communications consulting company specializing in product development and commercialization advice. Project will explore challenging interface between science and journalism with focus on genomics and gene therapy.

Proper citation: Pleiades Promoter Project: Genomic Resources Advancing Therapies for Brain Disorders (RRID:SCR_003282) Copy   

•   Source: SciCrunch Registry

http://biomed.brown.edu/rhode-island-biobank/

Cryogenic facility for human tissue and fluid samples under management of Brown University Division of Biology and Medicine and supports biomedical research on Brown campus and across affiliated hospitals of Warren Alpert Medical School.

Proper citation: Brown University Rhode Island Biobank Core Facility (RRID:SCR_004289) Copy   

•   Source: SciCrunch Registry

http://banyanbio.com/

Banyan Biomarkers was founded in 2002 by Ron Hayes, PhD , Kevin Wang, PhD, and Nancy Denslow, PhD to create the first Point of Care (POC) Blood Test to diagnose traumatic brain injury (TBI) and to diagnose neurological diseases. Initially inspired by research conducted at the University of Florida and The Evelyn F. and William McKnight Brain Institute, Banyan Biomarkers has made significant progress in developing and clinically validating novel enzyme linked immunosorbent assays (ELISAs) for traumatic brain injury (TBI). Banyan scientists have created an extensive pipeline of potential biomarkers and the company has a robust intellectual property portfolio. Jackson Streeter, Banyan''s CEO, has extensive experience in development of medical devices for acute brain injury. Currently no blood test exists for use by physicians to detect the presence and severity of brain trauma. Banyan Biomarkers'' research has identified unique and proprietary biomarkers present in the patient''s blood following injury to the brain. The detection and quantification of these biomarkers may provide early indications of brain trauma essential for earlier intervention and management. Banyan Biomarkers, Inc. offers preclinical and clinical sample analyses with a proven panel of neurological, psychiatric, neurodegenerative disease, and organ toxicity biomarker assays. The company provides analytical services to a wide range of customers including pharmaceutical companies, biotechnology companies and investigators at academic research institutes.

Proper citation: Banyan Biomarkers (RRID:SCR_004515) Copy   

•   Source: SciCrunch Registry

http://zfishbook.org/

Collection of revertible protein trap gene-breaking transposon (GBT) insertional mutants in zebrafish with active or cryopreserved lines from initially identified lines. Open to community-wide contributions including expression and functional annotation and represents world-wide central hub for information on how to obtain these lines from diverse members of International Zebrafish Protein Trap Consortium (IZPTC) and integration within other zebrafish community databases including Zebrafish Information Network (ZFIN), Ensembl and National Center for Biotechnology Information. Registration allows users to save their favorite lines for easy access, request lines from Mayo Clinic catalog, contribute to line annotation with appropriate credit, and puts them on optional mailing list for future zfishbook newletters and updates.

Proper citation: zfishbook (RRID:SCR_006896) Copy   

•   Source: SciCrunch Registry

http://www.pymvpa.org

A Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run. Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. This Python-based, cross-platform, open-source software toolbox software toolbox for the application of classifier-based analysis techniques to fMRI datasets makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages.

Proper citation: PyMVPA (RRID:SCR_006099) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3520032/

Algorithm for computational imaging of MRI data that detects and quantifies ischemic core–penumbra using only a single MRI modality (T2- or diffusion-weighted imaging, T2WI/DWI). It can be used with 3D data on lesions and normal-appearing brain matter (NABM) volumes.

Proper citation: Hierarchical Region Splitting (RRID:SCR_016398) Copy   

•   Source: SciCrunch Registry

https://github.com/jefferis/elmr

Software tool as support for working with light and electron microscopy fly brain data. Part of suite of R packages based on NeuroAnatomy Toolbox. Provides tools to move between adult brain EM and light level data, emphasising interaction between CATMAID web application and R Neuroanatomy Toolbox package.

Proper citation: elmr (RRID:SCR_017249) Copy   

•   Source: SciCrunch Registry

https://www.mbfbioscience.com/neurolucida-explorer

Companion analytical software for Neurolucida and Neurolucida 360, designed to perform extensive morphometric analysis on neuron reconstructions, serial section reconstructions, and brain maps.

Proper citation: Neurolucida Explorer (RRID:SCR_017348) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/bva-io/

Software package for interfacing the Brain Vision Analyser data files (load/save) for ongoing development of Matlab routines . This package is also compatible with the EEGLAB software, and may be uncompressed in the plugin folder of this software.

Proper citation: BVA import/export EEGLAB plugin (RRID:SCR_016333) Copy   

•   Source: SciCrunch Registry

https://github.com/DiedrichsenLab/DCBC/tree/v1.0.0

Software Python toolbox for brain parcellation evaluation.

Proper citation: DCBC toolbox (RRID:SCR_022176) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/rshrf

Software toolbox for resting state HRF estimation and deconvolution analysis. Matlab and Python toolbox that implements HRF estimation and deconvolution from resting state BOLD signal. Used to retrieve optimal lag between events and HRF onset, as well as HRF shape. Once that HRF has been retrieved for each voxel/vertex, it can be deconvolved from time series or one can map shape parameters everywhere in brain and use it as pathophysiological indicator. Input can be 2D GIfTI, 3D or 4D NIfTI images, but also on time series matrices/vectors. Output are three HRF shape parameters for each voxel/vertex, plus deconvolved time series, and number of retrieved pseudo events. All can be written back to GIfTI or NIfTI images.

Proper citation: Resting State Hemodynamic Response Function Retrieval and Deconvolution (RRID:SCR_023663) Copy   

•   Source: SciCrunch Registry

http://neuralsci.org/neuracell

Core facility provides neural stem cells (NSC) and everything you need to grow them, custom lentiviral shRNA and over-expression vectors, consult based characterization service where we can assess how your products or reagents affect stem cell performance and behavior. Services include:Cell Supply,Adult SVZ Neural Stem Cells,Any Age Embryonic stem cells from any region of the brain,Human Retinal Pigmented Epithelial cells,RPE iPSCs,iPSCs,Neural Progenitor Cells (NPCs),Custom Orders,Media/ Dissociation Reagents,High-performance Media formulated according to optimal cell growth conditions,Complete Defined Media for Neural Stem Cell Culture,Complete Defined Media for Human Retinal Pigmented Epithelial Culture,Cell characterization. Performs assays to verify how stem cell populations behave in response to certain environments, plastics, reagents, etc., using trade secret assays via FACS and cell culture techniques. This can be used for neural stem cells as well as embryonic stem cells.Cell banking solutions shall ensure that their integrity is maintained, and that sufficient supply is readily available. We will also expand cells, harvest cells, generation the freezing medium and thaw cells to test performance. Provides Generation of custom lentiviral shRNA constructs,Generation of custom lentiviral over-expression constructs,Supply of NSC lines already expressing these shRNA or over-expression constructs.

Proper citation: Neural Stem Cell Institute NeuraCell Core Facility (RRID:SCR_017821) Copy   

•   Source: SciCrunch Registry

https://www.utsouthwestern.edu/education/medical-school/departments/neurology/research/microscopy-facility/

Core suited to advance study of traumatic brain injury, as well as other neurological and psychiatric disorders.Utilizes microscopy strategies to evaluate neuropathology across micro-, meso-, and macro-scales of inquiry. Provides access to microscopes including TissueCyte 1000 multi-photon microscopes,Hamamatsu NanoZoomer 2.0-HT,Zeiss Axioscan.Z1. Offers access to fluorescence stereomicroscope and upright microscope, both with digital cameras, as well as sectioning equipment (cryostat, microtome, and vibrotome). Provide computer available for use running MicroBrightField Stereo Investigator and Neurolucida software packages for offline stereological analysis, neuron tracing, and 3D rendering of large, whole-brain datasets.

Proper citation: Texas University Southwestern Medical Center Whole Brain Microscopy Core Facility (RRID:SCR_017949) Copy   

•   Source: SciCrunch Registry

https://www.bidmc.org/research/research-by-department/radiology/mri-research/mri-facilities/translational-mri-research-core

Core provides MRI capabilities for imaging human subjects and potentially large animals as part of research studies. Facility operates GE Discovery MR750 3T whole-body scanner and can provide access to 1.5T system. Scanner is FDA cleared for clinical use. It has proprietary software including pulse programming environments and reconstruction programs and customizable software and protocols for applications including functional and structural brain imaging, abdominal perfusion and diffusion, muscle functional imaging and spectroscopy are available to users.Support for fMRI acquisition and visual and auditory stimulus presentation, diffusion tensor imaging, spectroscopy, and high quality anatomic imaging is available. The system has specialized receiver coils for sensitive imaging of particular anatomy. Additional customized coils can be manufactured in our RF lab. The system also has full broadband capability for multinuclear MRI and MRS, including (F-19, C-13, P-31, and Na-23).Our facility can also provide Image Post-processing and computerized image transfer, assistance to ensure MRI equipment safety, and can facilitate Clinical Readings.

Proper citation: Beth Israel Deaconess Medical Center Translational MRI Research Core Facility (RRID:SCR_017950) Copy   

•   Source: SciCrunch Registry

http://casestudies.brain-map.org/celltax

Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.

Proper citation: CellTax vignette (RRID:SCR_017000) Copy   

•   Source: SciCrunch Registry

https://ilabs.uw.edu/meg-brain-imaging/

Magnetoencephalography facility focusing on children. Equipped with MEGIN TRIUX Neo system with helium recycler, MAGSTIM EEG data acquisition system, Tucker-Davis Technologies RZ6 for stimulus generation, Epson Home Cinema 3200 for video projection, custom video recording system with 4 cameras, Eyelink eyetracker, and Polhemus 3D digitizer.

Proper citation: University of Washington I-LABS MEG Brain Imaging Center Core Facility (RRID:SCR_024836) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT

Software toolbox for analysis of diffusion weighted images.

Proper citation: FMRIB's Diffusion Toolbox (RRID:SCR_024931) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry