Institution
University of Graz
Education•Graz, Steiermark, Austria•
About: University of Graz is a education organization based out in Graz, Steiermark, Austria. It is known for research contribution in the topics: Population & Context (language use). The organization has 17934 authors who have published 37489 publications receiving 1110980 citations. The organization is also known as: Carolo Franciscea Graecensis & Karl Franzens Universität.
Papers published on a yearly basis
Papers
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TL;DR: The industrial recycling network as mentioned in this paper integrates the re-use of "former waste" by an inter-company matching of production processes, which helps to reduce material and energy throughput in the economic system to sustainable levels.
227 citations
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TL;DR: It is shown that nucleocytosolic acetyl-coenzyme A (AcCoA) production is a metabolic repressor of autophagy during aging in yeast, and brain-specific knockdown of Drosophila AcCoA synthetase was sufficient to enhance autophagic protein clearance and prolong lifespan.
227 citations
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TL;DR: This review depicts the molecular and morphological steps of vasculogenesis and angiogenesis, which can give further insights into human placental development and maturation disorders.
226 citations
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TL;DR: In this article, a hypoplastic constitutive model for the three-dimensional nonlinear stress-strain and dilatant volume change behavior of granular materials is presented.
226 citations
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TL;DR: To establish a fully automated, robust imaging marker for cerebral small vessel disease (SVD) and related cognitive impairment that is easy to implement, reflects disease burden, and is strongly associated with processing speed, the predominantly affected cognitive domain in SVD is targeted.
Abstract: Objective
To establish a fully automated, robust imaging marker for cerebral small vessel disease (SVD) and related cognitive impairment that is easy to implement, reflects disease burden, and is strongly associated with processing speed, the predominantly affected cognitive domain in SVD.
Methods
We developed a novel magnetic resonance imaging marker based on diffusion tensor imaging, skeletonization of white matter tracts, and histogram analysis. The marker (peak width of skeletonized mean diffusivity [PSMD]) was assessed along with conventional SVD imaging markers. We first evaluated associations with processing speed in patients with genetically defined SVD (n = 113). Next, we validated our findings in independent samples of inherited SVD (n = 57), sporadic SVD (n = 444), and memory clinic patients with SVD (n = 105). The new marker was further applied to healthy controls (n = 241) and to patients with Alzheimer's disease (n = 153). We further conducted a longitudinal analysis and interscanner reproducibility study.
Results
PSMD was associated with processing speed in all study samples with SVD (p-values between 2.8 × 10−3 and 1.8 × 10−10). PSMD explained most of the variance in processing speed (R2 ranging from 8.8% to 46%) and consistently outperformed conventional imaging markers (white matter hyperintensity volume, lacune volume, and brain volume) in multiple regression analyses. Increases in PSMD were linked to vascular but not to neurodegenerative disease. In longitudinal analysis, PSMD captured SVD progression better than other imaging markers.
Interpretation
PSMD is a new, fully automated, and robust imaging marker for SVD. PSMD can easily be applied to large samples and may be of great utility for both research studies and clinical use. Ann Neurol 2016;80:581–592.
226 citations
Authors
Showing all 18136 results
Name | H-index | Papers | Citations |
---|---|---|---|
David Haussler | 172 | 488 | 224960 |
Russel J. Reiter | 169 | 1646 | 121010 |
Frederik Barkhof | 154 | 1449 | 104982 |
Philip Scheltens | 140 | 1175 | 107312 |
Christopher D.M. Fletcher | 138 | 674 | 82484 |
Jennifer S. Haas | 128 | 840 | 71315 |
Jelena Krstic | 126 | 839 | 73457 |
Michael A. Kamm | 124 | 637 | 53606 |
Frances H. Arnold | 119 | 510 | 49651 |
Gert Pfurtscheller | 117 | 507 | 62873 |
Georg Kresse | 111 | 430 | 244729 |
Manfred T. Reetz | 110 | 959 | 42941 |
Alois Fürstner | 108 | 459 | 43085 |
David N. Herndon | 108 | 1227 | 54888 |
David J. Williams | 107 | 2060 | 62440 |