دورية أكاديمية
Frontiers in Neuroscience / Fully integrated PET/MR imaging for the assessment of the relationship between functional connectivity and glucose metabolic rate
| العنوان: | Frontiers in Neuroscience / Fully integrated PET/MR imaging for the assessment of the relationship between functional connectivity and glucose metabolic rate |
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| المؤلفون: | Muzik, Otto, Klebermass, Eva-Maria, Shiyam Sundar, Lalith Kumar, Baajour, Shahira, Beyer, Thomas, Lanzenberger, Rupert, Traub-Weidinger, Tatjana, Rausch, Ivo, Pataraia, Ekaterina, Hahn, Andreas, Rischka, Lucas, Hienert, Marius |
| بيانات النشر: | Frontiers |
| سنة النشر: | 2020 |
| المجموعة: | MedUni Vienna ePub (Medzinische Universität Wien) |
| مصطلحات موضوعية: | resting-state fMRI, Cerebral metabolic rate of glucose, integrated PET, MRI, glucose metabolic rate, variability, standardization of psychological state, real-time fMRI |
| جغرافية الموضوع: | UMW:14529, UMW:14591, UMW:14636, UMW:14633 |
| الوصف: | In the past, determination of absolute values of cerebral metabolic rate of glucose (CMRGlc) in clinical routine was rarely carried out due to the invasive nature of arterial sampling. With the advent of combined PET/MR imaging technology, CMRGlc values can be obtained non-invasively, thereby providing the opportunity to take advantage of fully quantitative data in clinical routine. However, CMRGlc values display high physiological variability, presumably due to fluctuations in the intrinsic activity of the brain at rest. To reduce CMRGlc variability associated with these fluctuations, the objective of this study was to determine whether functional connectivity measures derived from resting-state fMRI (rs-fMRI) could be used to correct for these fluctuations in intrinsic brain activity. Methods: We studied 10 healthy volunteers who underwent a test-retest dynamic [18F]FDG-PET study using a fully integrated PET/MR system (Siemens Biograph mMR). To validate the non-invasive derivation of an image-derived input function based on combined analysis of PET and MR data, arterial blood samples were obtained. Using the arterial input function (AIF), parametric images representing CMRGlc were determined using the Patlak graphical approach. Both directed functional connectivity (dFC) and undirected functional connectivity (uFC) were determined between nodes in six major networks (Default mode network, Salience, L/R Executive, Attention, and Sensory-motor network) using either a bivariate-correlation (R coefficient) or a Multi-Variate AutoRegressive (MVAR) model. In addition, the performance of a regional connectivity measure, the fractional amplitude of low frequency fluctuations (fALFF), was also investigated. Results: The average intrasubject variability for CMRGlc values between test and retest was determined as (14 ±8%) with an average inter-subject variability of 25% at test and 15% at retest. The average CMRGlc value (umol/100 g/min) across all networks was 39 ±10 at test and increased slightly to 43 ±6 at retest. ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text/html |
| اللغة: | English |
| تدمد: | 1662-453X |
| العلاقة: | vignette : https://repositorium.meduniwien.ac.at/titlepage/urn/urn:nbn:at:at-ubmuw:3-88949/128Test; urn:nbn:at:at-ubmuw:3-88949; https://resolver.obvsg.at/urn:nbn:at:at-ubmuw:3-88949Test; local:99147955233803331; system:AC17095140 |
| DOI: | 10.3389/fnins.2020.00252 |
| الإتاحة: | https://doi.org/10.3389/fnins.2020.00252Test https://resolver.obvsg.at/urn:nbn:at:at-ubmuw:3-88949Test |
| حقوق: | cc-by_4 |
| رقم الانضمام: | edsbas.A95EED38 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 1662453X |
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| DOI: | 10.3389/fnins.2020.00252 |