Results 11 to 20 of about 219,307 (309)

fMRI neuroinformatics [PDF]

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, Christensen, Mark Schram, Madsen, Kristoffer M., Lund, Torben E., Hansen, Lars Kai   +4 more
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Molecular fMRI [PDF]

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, Jasanoff, Alan Pradip, Bartelle, Benjamin B.   +2 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., de Martino, F.; id_orcid, De Martino, F., Formisano, E., Duncan, J.S., Laufs, H., Rodionov, R., Carmichael, D.W., Walker, M., Formisano, E.; id_orcid   +9 more
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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, T. Nichols, Mumford, Jeanette A., Nichols, Thomas E.   +3 more
core   +1 more source

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, Czisch, Michael, Kalus, Stefanie, Fahrmeir, Ludwig   +3 more
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fMRI data - light isoflurane anesthesia

, 2021
Open data sharing of fMRI data in rats under light ...
Lenka Dvorakova
core   +1 more source

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, Zeller, Mario, Nichols, Thomas, Hahn, Dietbert, Müller, Alexander, Mario Zeller, Herbert Köstler, Nichols, Thomas E., Thomas Nichols, Köstler, Herbert, Dietbert Hahn, Marcel Gutberlet, Alexander Müller, Gutberlet, Marcel, Bartsch, Andreas J.   +14 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., Lemieux, L., Rodionov, R., McEvoy, A.W., Matthew C. Walker, Karin Rosenkranz, Rosenkranz, K., Serge Vulliemoz, David W. Carmichael, Beate Diehl, Louis Lemieux, Carmichael, D.W., Diehl, B., Vulliemoz, S., Roman Rodionov, Andrew W. McEvoy   +15 more
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Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools [PDF]

, 2011
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic ...
van den Bosch, Jasper J F, Wolf Singer, van den Bosch, J.J.F., Kohler, A., Kaiser, J., Kaiser, Jochen, Ven, Vincent van de, Marcus J. Naumer, Bosch, Jasper J. F. van den, van de Ven, Vincent, Lars Muckli, Muckli, L., Kohler, Axel, Singer, Wolf, Axel Kohler, Jochen Kaiser, Naumer, M.J., van den Bosch, J., Muckli, Lars, Wibral, M., Wibral, Michael, Michael Wibral, Jasper J. F. van den Bosch, Naumer, Marcus Johannes, Vincent van de Ven, Naumer, Marcus J, van de Ven, V., Singer, W.   +27 more
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Voxel selection in fMRI data analysis based on sparse representation [PDF]

, 2009
Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Namburi, Praneeth, Guan, Cuntai, Li, Yuanqiang, Feng, Jianfeng, Yu, Zhuliang, Gu, Zhenghui   +5 more
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