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About 10,000 papers for “functional MRI”

Functional MRI 93 8 Functional MRI

Peter Jezzard, Ahmed Toosy, P. Jezzard Phd et al. · 2014

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[Functional MRI].

Tsutomu Nakada · PubMed · 2002

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Functional MRI

Kenneth S. L. Yuen, Tatia M. C. Lee, Yau-yau Wai et al. · 2007

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Functional MRI

BARALDI, Patrizia · IRIS UNIMORE (University of Modena and Reggio Emilia) · 2009

Functional MRI plays a dominant role amongst brain mapping techniques, in large part due to its non-invasiveness, relatively high spatiotemporal resolution, and the wide availability of clinical MRI scanners. It is important to note that fMRI measures a surrogate signal originating from the vascular response to neuronal mass activity and is therefore subjected to several constraints. Nevertheless, its capacity to map the entire network of brain areas engaged by a specific task is unrivalled among non-invasive techniques like MEG and EEG. The possibility to obtain both functional and anatomical images in the same study session is a further attraction of fMRI.The major impact of the fMRI techniques has been in the field of basic cognitive neuroscience, but they have gained a growing role in translational medicine and clinical practice. Several approaches have been developed for MR imaging of brain function, including contrast agent-enhanced imaging, arterial spin labelling (ASL) and blood oxygenation level dependent (BOLD) imaging, the latter being the most commonly used. Functional activation of the brain can be detected using these techniques through their ability to measure or depict changes in tissue perfusion, blood-volume, or the vascular concentration of deoxy-hemoglobin. While the BOLD technique can provide reliable information on the neuroanatomy underlying transient sensorimotor and to a lesser extent cognitive functions, perfusion techniques are more suitable for studying relatively long term effects on cerebral blood flow (CBF) both at rest or during brain activation. Behind the functional images obtained through BOLD or ASL contrasts, there are complex physical and biophysical principles as well as engineering procedures. The continuous technical improvement of fMRI techniques is most evident in the development of high-field scanner and the optimization of pulse sequences. As with data acquisition, many methods have been proposed for analysing fMRI data, and a variety of these are in general use. The overall aim of such analyses is to produce an image (map) identifying the regions which show significant signal change in response to a specific stimulus or task performed by the subject. In the following sections, after a brief introduction to the physiological correlates of neuronal activity, a description of the main principles and techniques of fMRI based on perfusion and BOLD contrasts will be provided. At the end of the chapter, the main processing steps necessary to obtain a brain activation map by statistical analysis of BOLD data are outlined. Since no gold standard exists among the various methods developed for statistically analysing fMRI data, the most commonly adopted approach, the General Linear Model (GLM) is used in this summary.

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Functional MRI

Et V · 2014

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Functional MRI

Alexandre Krainik · 2011

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Functional MRI

Vincent Perrin · 2013

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Functional MRI

Oxford University Press eBooks · 2018

Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; it is acquired with the subject at rest. It was discovered that there are low-frequency fluctuations in the fMRI signal in the brain at rest. The signals originate from spatially distinct functionally related brain regions but exhibit coherent time-synchronous fluctuations. Several of the networks have been identified and are called resting-state networks. These networks represent the strength of the functional connectivity between distinct functionally related brain regions and have been used as imaging markers of various neurological and psychiatric diseases. Resting-state fMRI is also ideally suited for functional brain imaging in disorders of consciousness and in subjects under anesthesia. This book provides a review of the basic principles of fMRI (signal sources, acquisition methods, and data analysis) and its potential clinical applications.

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Functional MRI

Ajay Garg · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · 2010

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functional MRI

R. R. Peeters · 2015

A patchy horizontal organization of the somatosensory activation of the rat cerebellum demonstrated by

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Functional MRI

2016

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Functional MRI

Paolo Pavone, Plinio Rossi · 1996

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Functional MRI

Jorge L. Armony, Joana Leitão, Corrado Corradi‐Dell’Acqua · Cambridge University Press eBooks · 2025

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Functional MRI

Avdeev, S. · Electronic Sumy State University Institutional Repository (Sumy State University) · 2016

Medical technology has advanced in recent years. Now one can dissect the body in the finest photos and create three-dimensional models of organs and tissues with the help of scanning technology to find in malfunction and to diagnose diseases.\nNevertheless, a relatively new type of scanning technology called functional magnetic resonance imaging (FMRI) raises this technology one step further. FMRI can not only help to diagnose diseases of the brain, but allows doctors to get into our mental processes to determine the way we think and feel. Functional MRI can detect even if we tell the truth.

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Functional MRI

William D. Gaillard · Oxford University Press eBooks · 2010

Abstract Functional Imaging with MRI using BOLD techniques plays an increasing role in clinical practice. fMRI may be used for interictal source localization but is more commonly used to identify eloquent areas to be spared during epilepsy surgery. fMRI is used to identify primary sensory cortex –visual, sensory, and auditory and to identify motor cortex. There are several language paradigms that may be used to identify frontal (“expressive”) and temporal (“receptive”) speech. These methods have excellent agreement with Wada and predict post operative naming outcomes. There are circumstances in which fMRI is not helpful as the BOLD response may be disrupted by several pathological processes. fMRI memory tasks have good agreement with Wada, demonstrate material specificity, show functional capacity to be more important than functional reserve, and may predict outcomes of specific memory tasks.

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