Cambridge Brain Analysis
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Cambridge Brain Analysis
Cambridge Brain Analysis (CamBA), is a software repository developed at the Brain Mapping Unit, Department of Psychiatry, University of Cambridge, UK and contains software pipelines for functional magnetic resonance imaging (fMRI) analysis. It is designed for batch processing and its main graphical user interface offers a spreadsheet-like look-and-feel. The software is available under the GNU General Public License and runs under Linux. Up-to-date information is available at the Neuroimaging Informatics Tools and Resources Clearinghouse. History The origins of the CamBA software repository begin in 1996 at the Institute of Psychiatry, King's College London, London, UK. Professor Edward Bullmore and Professor Mick Brammer wrote a small package of software components to process functional magnetic resonance imaging data, which at that time was an emerging technology. In 1999 Dr John Sucklinghttp://www-bmu.psychiatry.cam.ac.uk/people/~js369 became involved in the first eff ...
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University Of Cambridge
, mottoeng = Literal: From here, light and sacred draughts. Non literal: From this place, we gain enlightenment and precious knowledge. , established = , other_name = The Chancellor, Masters and Scholars of the University of Cambridge , type = Public research university , endowment = £7.121 billion (including colleges) , budget = £2.308 billion (excluding colleges) , chancellor = The Lord Sainsbury of Turville , vice_chancellor = Anthony Freeling , students = 24,450 (2020) , undergrad = 12,850 (2020) , postgrad = 11,600 (2020) , city = Cambridge , country = England , campus_type = , sporting_affiliations = The Sporting Blue , colours = Cambridge Blue , website = , logo = University of Cambridge logo ...
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Statistical Inference
Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution, distribution of probability.Upton, G., Cook, I. (2008) ''Oxford Dictionary of Statistics'', OUP. . Inferential statistical analysis infers properties of a Statistical population, population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is Sampling (statistics), sampled from a larger population. Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of the observed data, and it does not rest on the assumption that the data come from a larger population. In machine learning, the term ''inference'' is sometimes used instead to mean "make a prediction, by evaluating an already trained model"; in this context inferring properties of the model is referred to as ''training'' or ''learning'' (rather than ''inference''), and using a model for ...
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Neuroimaging Software
Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software applications, as well as hardware, etc. go to the NITRC web site. * 3D Slicer Extensible, free open source multi-purpose software for visualization and analysis. * Amira 3D visualization and analysis software * Analysis of Functional NeuroImages (AFNI) * Analyze developed by the Biomedical Imaging Resource (BIR) at Mayo Clinic. * Brain Image Analysis Package * CamBA * Caret Van Essen Lab, Washington University in St. Louis * CONN (functional connectivity toolbox) Diffusion Imaging in Python (DIPY)DL+DiReCT* EEGLAB * FMRIB Software Library (FSL) * FreeSurfer * Imarisbr>Imaris for Neuroscientists* ISAS (Ictal-Interictal SPECT Analysis by SPM) * LONI Pipeline, Laboratory of Neuro Imaging, USC * Mango * NITRC The Neuroimaging Informatics Tools and Resources Clearinghouse. An NIH funded database o ...
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Neuroimaging
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative studies of brain disease and psychiatric illness. Neuroimaging is a highly multidisciplinary research field and is not a medical specialty. Neuroimaging differs from neuroradiology which is a medical specialty and uses brain imaging in a clinical setting. Neuroradiology is practiced by radiologists who are medical practitioners. Neuroradiology primarily focuses on identifying brain lesions, such as vascular disease, strokes, tumors and inflammatory disease. In contrast to neuroimaging, neuroradiology is qualitative (based on subjective impressions and extensive clinical training) but sometimes uses basic quantitative methods. Functional brain imaging techniques, such as functional magnet ...
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Statistical Parametric Mapping
Statistical parametric mapping (SPM) is a statistical technique for examining differences in brain activity recorded during functional neuroimaging experiments. It was created by Karl Friston. It may alternatively refer to software created by the Wellcome Department of Imaging Neuroscience at University College London to carry out such analyses. Approach Unit of measurement Functional neuroimaging is one type of 'brain scanning'. It involves the measurement of brain activity. The measurement technique depends on the imaging technology (e.g., fMRI and PET). The scanner produces a 'map' of the area that is represented as voxels. Each voxel represents the activity of a specific volume in three-dimensional space. The exact size of a voxel varies depending on the technology. fMRI voxels typically represent a volume of 27 mm3 in an equilateral cuboid. Experimental design Researchers examine brain activity linked to a specific mental process or processes. One approach involves aski ...
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FMRIB Software Library
The FMRIB Software Library, abbreviated FSL, is a software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data. FSL is available as both precompiled binaries and source code for Apple and PC (Linux) computers. It is freely available for non-commercial use. FSL Functionality History and development FSL is written mainly by members of the FMRIB (Functional Magnetic Resonance Imaging of the Brain) Analysis Group, Oxford University, UK. The first release of FSL was in 2000; there has been approximately one major new release each year to date. The FMRIB Analysis Group is primarily funded by the Wellcome Trust and the UK EPSRC and MRC Research Councils. See also * AFNI * FreeSurfer * SPM * Neuroimaging Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy hum ...
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FreeSurfer
FreeSurfer is a brain imaging software package originally developed by Bruce Fischl, Anders Dale, Martin Sereno, and Doug Greve. Development and maintenance of FreeSurfer is now the primary responsibility of the Laboratory for Computational Neuroimaging at the Athinoula A. Martinos Center for Biomedical Imaging. FreeSurfer contains a set of programs with a common focus of analyzing magnetic resonance imaging (MRI) scans of brain tissue. It is an important tool in functional brain mapping and contains tools to conduct both volume based and surface based analysis. FreeSurfer includes tools for the reconstruction of topologically correct and geometrically accurate models of both the gray/white and pial surfaces, for measuring cortical thickness, surface area and folding, and for computing inter-subject registration based on the pattern of cortical folds. 57,541 copies of the FreeSurfer software package have been registered for use as of April 2022 and it is a core tool in the pr ...
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Analysis Of Functional NeuroImages
Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human brain activity. AFNI is an agglomeration of programs that can be used interactively or flexibly assembled for batch processing using shell script. The term ''AFNI'' refers both to the entire suite and to a particular interactive program often used for visualization. AFNI is actively developed by the NIMH Scientific and Statistical Computing Core and its capabilities are continually expanding. AFNI runs under many Unix-like operating systems that provide X11 and Motif libraries, including IRIX, Solaris, Linux, FreeBSD and OS X. Precompiled binaries are available for some platforms. AFNI is available for research use under the GNU General Public License, the included SVM-light component is non-commercial and non-distributable. AFNI now comprises over 300,000 lines of C source code, and a skilled C programmer can add inter ...
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Neuroimaging
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative studies of brain disease and psychiatric illness. Neuroimaging is a highly multidisciplinary research field and is not a medical specialty. Neuroimaging differs from neuroradiology which is a medical specialty and uses brain imaging in a clinical setting. Neuroradiology is practiced by radiologists who are medical practitioners. Neuroradiology primarily focuses on identifying brain lesions, such as vascular disease, strokes, tumors and inflammatory disease. In contrast to neuroimaging, neuroradiology is qualitative (based on subjective impressions and extensive clinical training) but sometimes uses basic quantitative methods. Functional brain imaging techniques, such as functional magnet ...
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Functional Neuroimaging
Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function, often with a view to understanding the relationship between activity in certain brain areas and specific mental functions. It is primarily used as a research tool in cognitive neuroscience, cognitive psychology, neuropsychology, and social neuroscience. Overview Common methods of functional neuroimaging include * Positron emission tomography (PET) * Functional magnetic resonance imaging (fMRI) * Electroencephalography (EEG) * Magnetoencephalography (MEG) * Functional near-infrared spectroscopy (fNIRS) * Single-photon emission computed tomography (SPECT) * Functional ultrasound imaging (fUS) PET, fMRI, fNIRS and fUS can measure localized changes in cerebral blood flow related to neural activity. These changes are referred to as ''activations''. Regions of the brain which are activated when a subject performs a particular task may play a role in the computational neuroscience, n ...
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Ontology
In metaphysics, ontology is the philosophical study of being, as well as related concepts such as existence, becoming, and reality. Ontology addresses questions like how entities are grouped into categories and which of these entities exist on the most fundamental level. Ontologists often try to determine what the categories or highest kinds are and how they form a system of categories that encompasses classification of all entities. Commonly proposed categories include substances, properties, relations, states of affairs and events. These categories are characterized by fundamental ontological concepts, including particularity and universality, abstractness and concreteness, or possibility and necessity. Of special interest is the concept of ontological dependence, which determines whether the entities of a category exist on the most fundamental level. Disagreements within ontology are often about whether entities belonging to a certain category exist and, if so, how they ...
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Rich Client Platform
The rich client platform (RCP) is a programmer tool that makes it easier to integrate independent software components, where most of the data processing occurs on the client side. Overview RCP is a software consisting of the following components: * A core (microkernel), lifecycle manager * A standard bundling framework * A portable widget toolkit * File buffers, text handling, text editors * A workbench (views, editors, perspectives, wizards) * Data binding * Update manager With an RCP, programmers can build their own applications on existing computing platforms. Instead of having to write a complete application from scratch, they can benefit from proven and tested features of the framework provided by the platform. Building on a platform facilitates faster application development and integration, while the cross-platform burden is taken on by the platform developers. The platform allows the seamless integration of independent software modules like graphic tools, spreadshee ...
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