Results 11 to 20 of about 251,372 (308)
IEEE Engineering in Medicine and Biology Magazine, 2006 Functional magnetic resonance imaging (fMRI) generates vast amounts of data. The handling, processing, and analysis of fMRI data would be inconceivable without computer-based methods. fMRI neuroinformatics is concerned with research, development, and operation of these methods.
Nielsen, Finn Årup; id_orcid 0000-0001-6128-3356 +4 more
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The Journal of Neuroscience, 2016 Comprehensive analysis of brain function depends on understanding the dynamics of diverse neural signaling processes over large tissue volumes in intact animals and humans. Most existing approaches to measuring brain signaling suffer from limited tissue penetration, poor resolution, or lack of specificity for well-defined neural events. Here we discuss
Barandov, Ali +2 more
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fMRI data - light isoflurane anesthesia
, 2021 Open data sharing of fMRI data in rats under light ...
Lenka Dvorakova
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Modeling and inference of multisubject fMRI data [PDF]
, 2006 Functional magnetic resonance imaging (fMRI) is a rapidly growing technique for studying the brain in action. Since its creation [1], [2], cognitive scientists have been using fMRI to understand how we remember, manipulate, and act on information in ...
J.A. Mumford +3 more
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Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI [PDF]
, 2007 The general linear model (GLM) has been used to analyze simultaneous EEG–fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG.
Lemieux, L. +9 more
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fMRI activation detection with EEG priors [PDF]
, 2013 The purpose of brain mapping techniques is to advance the understanding of the relationship between structure and function in the human brain in so-called activation studies.
Sämann, Philipp +3 more
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Simultaneous intracranial EEG and fMRI of interictal epileptic discharges in humans [PDF]
, 2011 Simultaneous scalp EEG–fMRI measurements allow the study of epileptic networks and more generally, of the coupling between neuronal activity and haemodynamic changes in the brain.
Walker, M.C. +15 more
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Boosting BOLD fMRI by K-Space density weighted echo planar imaging [PDF]
, 2013 Functional magnetic resonance imaging (fMRI) has become a powerful and influential method to non-invasively study neuronal brain activity. For this purpose, the blood oxygenation level-dependent (BOLD) effect is most widely used. T2* weighted echo planar
Andreas J Bartsch +21 more
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The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging [PDF]
, 2009 Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges.
Lemieux, L. +29 more
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Methodological problems in fMRI studies on acupuncture: a critical review with special emphasis on visual and auditory cortex activations [PDF]
, 2011 Functional magnetic resonance imaging (fMRI) has been used for more than a decade to investigate possible supraspinal mechanisms of acupuncture stimulation. More than 60 studies and several review articles have been published on the topic.
Beißner, Florian, Henke, Christian
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