Integrity of Neurocognitive Networks in Dementing Disorders as Measured with Simultaneous PET/Functional MRI
| Autor: | Jorge Cabello, Janine Diehl-Schmid, Vince D. Calhoun, Isabelle Ripp, Thomas Stadhouders, Timo Grimmer, Igor Yakushev, Dennis M. Hedderich, Oliver Goldhardt, Valentin Riedl, Alexandre Savio |
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| Rok vydání: | 2019 |
| Předmět: |
Male
Multimodal Imaging 030218 nuclear medicine & medical imaging Imaging modalities Correlation 03 medical and health sciences 0302 clinical medicine Cognition Alzheimer Disease Fluorodeoxyglucose F18 Neural Pathways Image Processing Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging In patient Retrospective Studies Network integrity business.industry Multimodal neuroimaging Middle Aged medicine.disease Magnetic Resonance Imaging Frontotemporal Dementia Positron-Emission Tomography Female Alzheimer's disease business Neuroscience Neurocognitive 030217 neurology & neurosurgery Frontotemporal dementia |
| Zdroj: | Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 61(9) |
| ISSN: | 1535-5667 |
| Popis: | Functional MRI (fMRI) studies have reported altered integrity of large-scale neurocognitive networks (NCNs) in dementing disorders. However, findings on the specificity of these alterations in patients with Alzheimer disease (AD) and behavioral-variant frontotemporal dementia (bvFTD) are still limited. Recently, NCNs have been successfully captured using PET with 18F-FDG. Methods: Network integrity was measured in 72 individuals (38 male) with mild AD or bvFTD, and in healthy controls, using a simultaneous resting-state fMRI and 18F-FDG PET. Indices of network integrity were calculated for each subject, network, and imaging modality. Results: In either modality, independent-component analysis revealed 4 major NCNs: anterior default-mode network (DMN), posterior DMN, salience network, and right central executive network (CEN). In fMRI data, the integrity of the posterior DMN was found to be significantly reduced in both patient groups relative to controls. In the AD group the anterior DMN and CEN appeared to be additionally affected. In PET data, only the integrity of the posterior DMN in patients with AD was reduced, whereas 3 remaining networks appeared to be affected only in patients with bvFTD. In a logistic regression analysis, the integrity of the anterior DMN as measured with PET alone accurately differentiated between the patient groups. A correlation between indices of 2 imaging modalities was low overall. Conclusion: FMRI and 18F-FDG PET capture partly different aspects of network integrity. A higher disease specificity for NCNs as derived from PET data supports metabolic connectivity imaging as a promising diagnostic tool. |
| Databáze: | OpenAIRE |
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