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      In vivo mapping of hippocampal venous vasculature and oxygenation using susceptibility imaging at 7T

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          Abstract

          Mapping the small venous vasculature of the hippocampus in vivo is crucial for understanding how functional changes of hippocampus evolve with age. Oxygen utilization in the hippocampus could serve as a sensitive biomarker for early degenerative changes, surpassing hippocampal tissue atrophy as the main source of information regarding tissue degeneration. Using an ultrahigh field (7T) susceptibility-weighted imaging (SWI) sequence, it is possible to capture oxygen-level dependent contrast of submillimeter-sized vessels. Moreover, the quantitative susceptibility mapping (QSM) results derived from SWI data allow for the simultaneous estimation of venous oxygenation levels, thereby enhancing the understanding of hippocampal function. In this study, we proposed two potential imaging markers in a cohort of 19 healthy volunteers aged between 20 and 74 years. These markers were: 1) hippocampal venous density on SWI images and 2) venous susceptibility (Δ χ vein) in the hippocampus-associated draining veins (the inferior ventricular veins (IVV) and the basal veins of Rosenthal (BVR) using QSM images). They were chosen specifically to help characterize the oxygen utilization of the human hippocampus and medial temporal lobe (MTL). As part of the analysis, we demonstrated the feasibility of measuring hippocampal venous density and Δ χ vein in the IVV and BVR at 7T with high spatial resolution (0.25 × 0.25 × 1 mm 3). Our results demonstrated the in vivo reconstruction of the hippocampal venous system, providing initial evidence regarding the presence of the venous arch structure within the hippocampus. Furthermore, we evaluated the age effect of the two quantitative estimates and observed a significant increase in Δ χ vein for the IVV with age ( p = 0.006, r 2 = 0.369). This may suggest the potential application of Δ χ vein in IVV as a marker for assessing changes in atrophy-related hippocampal oxygen utilization in normal aging and neurodegenerative diseases such as AD and dementia.

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          Measures of the Amount of Ecologic Association Between Species

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            Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

            In 2010, we put forward a hypothetical model of the major biomarkers of Alzheimer's disease (AD). The model was received with interest because we described the temporal evolution of AD biomarkers in relation to each other and to the onset and progression of clinical symptoms. Since then, evidence has accumulated that supports the major assumptions of this model. Evidence has also appeared that challenges some of our assumptions, which has allowed us to modify our original model. Refinements to our model include indexing of individuals by time rather than clinical symptom severity; incorporation of interindividual variability in cognitive impairment associated with progression of AD pathophysiology; modifications of the specific temporal ordering of some biomarkers; and recognition that the two major proteinopathies underlying AD biomarker changes, amyloid β (Aβ) and tau, might be initiated independently in sporadic AD, in which we hypothesise that an incident Aβ pathophysiology can accelerate antecedent limbic and brainstem tauopathy. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Susceptibility weighted imaging (SWI).

              Susceptibility differences between tissues can be utilized as a new type of contrast in MRI that is different from spin density, T1-, or T2-weighted imaging. Signals from substances with different magnetic susceptibilities compared to their neighboring tissue will become out of phase with these tissues at sufficiently long echo times (TEs). Thus, phase imaging offers a means of enhancing contrast in MRI. Specifically, the phase images themselves can provide excellent contrast between gray matter (GM) and white matter (WM), iron-laden tissues, venous blood vessels, and other tissues with susceptibilities that are different from the background tissue. Also, for the first time, projection phase images are shown to demonstrate tissue (vessel) continuity. In this work, the best approach for combining magnitude and phase images is discussed. The phase images are high-pass-filtered and then transformed to a special phase mask that varies in amplitude between zero and unity. This mask is multiplied a few times into the original magnitude image to create enhanced contrast between tissues with different susceptibilities. For this reason, this method is referred to as susceptibility-weighted imaging (SWI). Mathematical arguments are presented to determine the number of phase mask multiplications that should take place. Examples are given for enhancing GM/WM contrast and water/fat contrast, identifying brain iron, and visualizing veins in the brain. Copyright 2004 Wiley-Liss, Inc.
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                Author and article information

                Journal
                9215515
                20498
                Neuroimage
                Neuroimage
                NeuroImage
                1053-8119
                1095-9572
                20 April 2024
                01 May 2024
                29 March 2024
                23 May 2024
                : 291
                : 120597
                Affiliations
                [a ]Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA
                [b ]Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA
                [c ]Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
                [d ]Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
                [e ]Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
                Author notes
                [* ]Corresponding author: Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm 405, New York, NY 10016, USA, Yulin.Ge@ 123456nyulangone.org (Y. Ge).
                Article
                NIHMS1984949
                10.1016/j.neuroimage.2024.120597
                11115460
                38554779
                fb4e1fb5-32c0-4b1e-880d-66053cb01775

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Neurosciences
                susceptibility,venous oxygenation,venous density,inferior ventricular vein,basal vein of rosenthal,hippocampus

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