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Results 1 - 10
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102
unknown title
, 2008
"... Classification images reveal the information sensitivity of brain voxels in fMRI ..."
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Classification images reveal the information sensitivity of brain voxels in fMRI
Coil sensitivity encoding for fast MRI. In:
- Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
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Cited by 193 (3 self)
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-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999. 1999 Wiley-Liss, Inc. Key words: MRI; sensitivity encoding; SENSE; fast imaging; receiver coil array Among today's many medical
Video Article Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
"... It is now appreciated that condition-relevant information can be present within distributed patterns of functional magnetic resonance imaging (fMRI) brain activity, even for conditions with similar levels of univariate activation. Multi-voxel pattern (MVP) analysis has been used to decode this infor ..."
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It is now appreciated that condition-relevant information can be present within distributed patterns of functional magnetic resonance imaging (fMRI) brain activity, even for conditions with similar levels of univariate activation. Multi-voxel pattern (MVP) analysis has been used to decode
fMRI studies of Stroop tasks reveal unique roles of anterior and posterior brain systems in attentional selection.
- Journal of Cognitive Neuroscience,
, 2000
"... Abstract & The brain's attentional system identifies and selects information that is task-relevant while ignoring information that is task-irrelevant. In two experiments using functional magnetic resonance imaging, we examined the effects of varying task-relevant information compared to ta ..."
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Cited by 51 (12 self)
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Abstract & The brain's attentional system identifies and selects information that is task-relevant while ignoring information that is task-irrelevant. In two experiments using functional magnetic resonance imaging, we examined the effects of varying task-relevant information compared
Localization of cardiac-induced signal change in fMRI
- Neuroimage
, 1999
"... Signal detection in the analysis of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) may be greatly hindered by cardiac pulsatility artifacts. Vessel pulsation, cerebrospinal fluid movement, and tissue deformation are all associated with the cardiac cycle and all can ..."
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Cited by 35 (0 self)
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produce fMRI signal variance. Most cognitive fMRI studies do not utilize a method of cardiac-related noise reduction, in part because of the lack of information on the regional significance and magnitude of cardiac-related signal variance in the brain. In this paper we present a topographical description
Testing simulation theory with cross-modal multivariate classification of fMRI data
- PLoS ONE
, 2008
"... The discovery of mirror neurons has suggested a potential neural basis for simulation and common coding theories of action perception, theories which propose that we understand other people’s actions because perceiving their actions activates some of our neurons in much the same way as when we perfo ..."
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Cited by 22 (4 self)
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perform the actions. We propose testing this model directly in humans with functional magnetic resonance imaging (fMRI) by means of cross-modal classification. Cross-modal classification evaluates whether a classifier that has learned to separate stimuli in the sensory domain can also separate the stimuli
Inferring Brain Activation from Spatial Modulations of fMRI BOLD Distribution
"... The standard approach for analyzing functional magnetic resonance imaging (fMRI) data compares each brain voxel independently against an expected response to estimate the likelihood of activation [1]. The inherent spatial structure of brain activity is thus ignored. Recent studies that jointly analy ..."
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The standard approach for analyzing functional magnetic resonance imaging (fMRI) data compares each brain voxel independently against an expected response to estimate the likelihood of activation [1]. The inherent spatial structure of brain activity is thus ignored. Recent studies that jointly
Voxel-based lesion-symptom mapping.
- Nat. Neurosci.
, 2003
"... For more than a century, lesion-symptom mapping studies have yielded valuable insights into the relationships between brain and behavior, but newer imaging techniques have surpassed lesion analysis in examining functional networks. Here we used a new method-voxel-based lesion-symptom mapping (VLSM) ..."
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Cited by 66 (7 self)
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between anterior and posterior areas, and they also indicate that interacting regions facilitate fluency and auditory comprehension, in agreement with findings from modern brain imaging. Localization of cognitive processes through lesion analysis continues to reveal new information about brain
A Novel Information Theoretic and Bayesian Approach for fMRI data Analysis
"... Functional Magnetic Resonance Imaging (fMRI) is a powerful technique for studying the working of the human brain. The overall goal of the project is to devlop a novel method for the analysis of fMRI data in order to discover the activation of a network of regions involving most likely the hippocampu ..."
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Functional Magnetic Resonance Imaging (fMRI) is a powerful technique for studying the working of the human brain. The overall goal of the project is to devlop a novel method for the analysis of fMRI data in order to discover the activation of a network of regions involving most likely
Identifying individuals with antisocial personality disorder using resting-state fMRI
- PLoS ONE
, 2013
"... Antisocial personality disorder (ASPD) is closely connected to criminal behavior. A better understanding of functional connectivity in the brains of ASPD patients will help to explain abnormal behavioral syndromes and to perform objective diagnoses of ASPD. In this study we designed an exploratory d ..."
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Cited by 3 (0 self)
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data-driven classifier based on machine learning to investigate changes in functional connectivity in the brains of patients with ASPD using resting state functional magnetic resonance imaging (fMRI) data in 32 subjects with ASPD and 35 controls. The results showed that the classifier achieved
Results 1 - 10
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102
