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Website | neugrid4you |
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Current status | Active |
neuGRID is a web portal aimed to (i) help neuroscientists do high-throughput imaging research, [1] and (ii) provide clinical neurologists automated diagnostic imaging markers of neurodegenerative diseases for individual patient diagnosis. neuGRID's user-friendly environment is customised to a range of users from students to senior neuroscientists working in the fields of Alzheimer's disease, psychiatric diseases, and white matter diseases. neuGRID aims to become a widespread resource for brain imaging analyses. [2]
Through the single virtual access point Science Gateway web portal, users login and access a “virtual” imaging laboratory. [3] Here users can upload, use, and share algorithms for brain imaging analysis, [4] have access to large neuroimaging datasets, and make computationally intensive analyses, all the time with specialized support and training. Thanks to distributed services and grid/cloud computational resources, analyses with neuGRID are much faster than traditional-style lab-based analyses. neuGRID's proof-of-concept was carried out in 2009 when an Alzheimer's disease biomarker (3D cortical thickness with Freesurfer and CIVET) was extracted from 6.500 MR scans in 2 weeks versus 5 years that it would have taken in a traditional setting.
neuGRID was first funded by the European Commission DG INFSO within the 7th Framework Program from 2008 to 2011. Here, the hardware and middleware infrastructure were developed. The second wave was funded in 2011 by the European Commission, now DG CONNECT, under the project neuGRID for you (N4U), with the main aim of expanding user services with more intuitive and graphical interfaces. N4U ended in April 2015.
The initial neuGRID consortium involved 8 European partners from Italy, France, UK, Nederland, Sweden, Spain and Switzerland. N4U involved 9 European partners (6 of which already in neuGRID) and 2 North Americans. International partners have been involved thanks to a support action funded once more by DG INFSO (outGRID, http://www.outgrid.eu). The coordinator of all three projects is Giovanni B Frisoni, neurologist based at the IRCCS Fatebenefratelli, The National Centre for Alzheimer's Disease in Brescia, Italy.
Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. This technique relies on the fact that cerebral blood flow and neuronal activation are coupled. When an area of the brain is in use, blood flow to that region also increases.
Vascular dementia is dementia caused by problems in the supply of blood to the brain, typically a series of minor strokes, leading to worsening cognitive decline that occurs step by step. The term refers to a syndrome consisting of a complex interaction of cerebrovascular disease and risk factors that lead to changes in the brain structures due to strokes and lesions, and resulting changes in cognition. The temporal relationship between a stroke and cognitive deficits is needed to make the diagnosis.
The frontotemporal dementias (FTD) encompass six types of dementia involving the frontal or temporal lobes. They are: behavioral variant of FTD, semantic variant primary progressive aphasia, nonfluent agrammatic variant primary progressive aphasia, corticobasal syndrome, progressive supranuclear palsy, and FTD associated with motor neuron disease.
Cerebral atrophy is a common feature of many of the diseases that affect the brain. Atrophy of any tissue means a decrement in the size of the cell, which can be due to progressive loss of cytoplasmic proteins. In brain tissue, atrophy describes a loss of neurons and the connections between them. Atrophy can be generalized, which means that all of the brain has shrunk; or it can be focal, affecting only a limited area of the brain and resulting in a decrease of the functions that area of the brain controls. If the cerebral hemispheres are affected, conscious thought and voluntary processes may be impaired.
Imaging genetics refers to the use of anatomical or physiological imaging technologies as phenotypic assays to evaluate genetic variation. Scientists that first used the term imaging genetics were interested in how genes influence psychopathology and used functional neuroimaging to investigate genes that are expressed in the brain.
Neuroimaging or brain imaging is the use of various techniques to either directly or indirectly image the structure, function, or pharmacology of the nervous system. It is a relatively new discipline within medicine, neuroscience, and psychology. Physicians who specialize in the performance and interpretation of neuroimaging in the clinical setting are neuroradiologists.
Talairach coordinates, also known as Talairach space, is a 3-dimensional coordinate system of the human brain, which is used to map the location of brain structures independent from individual differences in the size and overall shape of the brain. It is still common to use Talairach coordinates in functional brain imaging studies and to target transcranial stimulation of brain regions. However, alternative methods such as the MNI Coordinate System originated at the Montreal Neurological Institute and Hospital have largely replaced Talairach for stereotaxy and other procedures.
Brain biopsy is the removal of a small piece of brain tissue for the diagnosis of abnormalities of the brain. It is used to diagnose tumors, infection, inflammation, and other brain disorders. By examining the tissue sample under a microscope, the biopsy sample provides information about the appropriate diagnosis and treatment.
Posterior cortical atrophy (PCA), also called Benson's syndrome, is a form of dementia which is usually considered an atypical variant of Alzheimer's disease (AD). The disease causes atrophy of the posterior part of the cerebral cortex, resulting in the progressive disruption of complex visual processing. PCA was first described by D. Frank Benson in 1988.
Hyperintensities refer to areas of high intensity on types of magnetic resonance imaging (MRI) scans of the human brain or that of other mammals that reflect lesions produced largely by demyelination and axonal loss. These small regions of high intensity are observed on T2 weighted MRI images within cerebral white matter or subcortical gray matter. They are usually seen in normal aging but also in a number of neurological disorders and psychiatric illnesses. For example, deep white matter hyperintensites are 2.5 to 3 times more likely to occur in bipolar disorder and major depressive disorder than control subjects. WMH volume, calculated as a potential diagnostic measure, has been shown to correlate to certain cognitive factors. Hyperintensities appear as "bright signals" on an MRI image and the term "bright signal" is occasionally used as a synonym for a hyperintensity.
The LONI Pipeline is a free distributed system for designing, executing, monitoring and sharing scientific workflows on grid computing architectures. Pipeline allows users to connect and run any number of different software tools, and conveniently visualize and download the results.
Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multisite study that aims to improve clinical trials for the prevention and treatment of Alzheimer’s disease (AD). This cooperative study combines expertise and funding from the private and public sector to study subjects with AD, as well as those who may develop AD and controls with no signs of cognitive impairment. Researchers at 63 sites in the US and Canada track the progression of AD in the human brain with neuroimaging, biochemical, and genetic biological markers. This knowledge helps to find better clinical trials for the prevention and treatment of AD. ADNI has made a global impact, firstly by developing a set of standardized protocols to allow the comparison of results from multiple centers, and secondly by its data-sharing policy which makes available all at the data without embargo to qualified researchers worldwide. To date, over 1000 scientific publications have used ADNI data. A number of other initiatives related to AD and other diseases have been designed and implemented using ADNI as a model. ADNI has been running since 2004 and is currently funded until 2021.
The Human Connectome Project (HCP) is a five-year project sponsored by sixteen components of the National Institutes of Health, split between two consortia of research institutions. The project was launched in July 2009 as the first of three Grand Challenges of the NIH's Blueprint for Neuroscience Research. On September 15, 2010, the NIH announced that it would award two grants: $30 million over five years to a consortium led by Washington University in Saint Louis and the University of Minnesota, with strong contributions from Oxford University (FMRIB) and $8.5 million over three years to a consortium led by Harvard University, Massachusetts General Hospital and the University of California Los Angeles.
Anders Martin Dale is a prominent neuroscientist and Professor of Radiology, Neurosciences, Psychiatry, and Cognitive Science at the University of California, San Diego (UCSD), and is one of the world's leading developers of sophisticated computational neuroimaging techniques. He is the founding Director of the Center for Multimodal Imaging Genetics (CMIG) at UCSD.
Magnetic resonance imaging (MRI) of the nervous system uses magnetic fields and radio waves to produce high quality two- or three-dimensional images of nervous system structures without use of ionizing radiation (X-rays) or radioactive tracers.
Computed tomography (CT) scanning of the head uses a series of x-rays of the head taken from many different directions; the resulting data is transformed into a series of cross sections of the brain using a computer program. CT images of the head are used to investigate and diagnose brain injuries and other neurological conditions, as well as other conditions involving the skull or sinuses.; it used to guide some brain surgery procedures as well. CT scans expose the person getting them to ionizing radiation which has a risk of eventually causing cancer; some people have allergic reactions to contrast agents that are used in some CT procedures.
Resting state fMRI is a method of functional magnetic resonance imaging (fMRI) that is used in brain mapping to evaluate regional interactions that occur in a resting or task-negative state, when an explicit task is not being performed. A number of resting-state conditions are identified in the brain, one of which is the default mode network. These resting brain state conditions are observed through changes in blood flow in the brain which creates what is referred to as a blood-oxygen-level dependent (BOLD) signal that can be measured using fMRI. Because brain activity is intrinsic, present even in the absence of an externally prompted task, any brain region will have spontaneous fluctuations in BOLD signal. The resting state approach is useful to explore the brain's functional organization and to examine if it is altered in neurological or mental disorders. Resting-state functional connectivity research has revealed a number of networks which are consistently found in healthy subjects, different stages of consciousness and across species, and represent specific patterns of synchronous activity.
Alcohol-related brain damage alters both the structure and function of the brain as a result of the direct neurotoxic effects of alcohol intoxication or acute alcohol withdrawal. Increased alcohol intake is associated with damage to brain regions including the frontal lobe, limbic system, and cerebellum, with widespread cerebral atrophy, or brain shrinkage caused by neuron degeneration. This damage can be seen on neuroimaging scans.
CONN is a Matlab-based cross-platform imaging software for the computation, display, and analysis of functional connectivity in fMRI in the resting state and during task.