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Journal ArticleDOI

Resolution and reproducibility of BOLD and perfusion functional MRI at 3.0 Tesla.

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TLDR
The overlap in activation patterns was more than expected based on the fine‐scale retinotopic mapping of cortical activity, suggesting that both BOLD and perfusion contrast mechanisms contribute substantially to the point‐spread function (PSF).
Abstract
Visual and somatosensory activation studies were performed on normal subjects to compare the spatial discrimination and reproducibility between functional MRI (fMRI) methods based on blood oxygen level-dependent (BOLD) and perfusion contrast. To allow simultaneous measurement of BOLD and perfusion contrast, a dedicated MRI acquisition technique was developed. Repeated experiments of sensory stimulation of single digits of the right hand showed an average variability of activation amplitude of 25% for BOLD data, and a significantly lower variability of 21% for perfusion data. No significant difference in the variability of the locus of activity was observed between the BOLD and perfusion data. In somatotopy experiments, digits II and V were subjected to passive sensory stimulation. Both the BOLD and perfusion data showed substantial overlap in the activation patterns from the two digits. In a retinotopy study, two stimuli were alternated to excite different patches of V1. Again there was substantial overlap between the activation patterns from both stimuli, although the perfusion performed somewhat better than the BOLD method. Particularly for the visual studies, the overlap in activation patterns was more than expected based on the fine-scale retinotopic mapping of cortical activity, suggesting that both BOLD and perfusion contrast mechanisms contribute substantially to the point-spread function (PSF).

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A sliding time-window ICA reveals spatial variability of the default mode network in time.

TL;DR: SliTICA shows marked spatial variance of DMN activity in time, which may offer a more comprehensive measurement of the overall functional activity of a network.
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Mapping resting-state functional connectivity using perfusion MRI.

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Combining fMRI and DTI: a framework for exploring the limits of fMRI-guided DTI fiber tracking and for verifying DTI-based fiber tractography results.

TL;DR: A combined fMRI/DTI study was performed, both to develop a setup for verifying fiber tracking results using fMRI-derived functional connections and to explore the limitations of fMRI based DTI fiber tracking.
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Metabolic Origin of Bold Signal Fluctuations in the Absence of Stimuli

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Arterial spin labeling: benefits and pitfalls of high magnetic field.

TL;DR: The pros and cons of the use of ASL at high field are summarized, after a brief description of the major techniques used and their theoretical limitations.
References
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Journal ArticleDOI

Brain magnetic resonance imaging with contrast dependent on blood oxygenation

TL;DR: In this paper, the authors demonstrate in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level, which can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions.

Brainmagnetic resonance imaging withcontrast dependent on blood oxygenation

TL;DR: It is demonstrated that in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions.
Journal ArticleDOI

Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

TL;DR: In this paper, a series of images were acquired continuously with the same imaging pulse sequence (either gradient echo or spin-echo inversion recovery) during task activation, and a significant increase in signal intensity (paired t test; P less than 0.001) of 1.8% +/- 0.9% was observed in the primary visual cortex (V1) of seven normal volunteers.
Journal ArticleDOI

Retinotopic organization in human visual cortex and the spatial precision of functional MRI.

TL;DR: This work identified the borders between several retinotopically organized visual areas in the posterior occipital lobe and estimated the spatial resolution of the fMRI signal and found that signal amplitude falls to 60% at a spatial frequency of 1 cycle per 9 mm of visual cortex.
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