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- W2005196349 abstract "Alzheimer's disease (AD) is associated with progressive disintegration of brain functional networks, measurable using task-free functional MRI (fMRI). Graph theory based connectivity analyses enable evaluating network topological parameters that are not detectable using topographical approaches such as independent component analysis; furthermore observations that amyloid deposition is co-located with connectivity hubs provide such approaches with face validity. To date, measurements of network topological parameters have been largely restricted to patients with fully developed AD. In this study graph-based analysis of task-free fMRI is used to assess the presence and quantify the extension of altered topological parameters in mild cognitive impairment (MCI). The study population consisted of 50 MCI patients (27 single-, 23 multiple-domain, age 66.1±9.9 years, MMSE 26.4±1.8) and 32 cognitively intact age-matched controls. Task-free fMRI was performed on a 3T scanner. Functional time-series were extracted from 781 grey matter regions and filtered. Adjacency matrices were determined by linear regression and thresholded at r>0.2. Network completeness, mean path length and clustering coefficient were computed, along with the average number of connections for the 90 brain regions from the Automated Anatomical Labelling atlas. After removal of co-variation with age, gender and movement, all variables were analyzed using false-discovery rate corrected t-tests. Altered functional connectivity was revealed by whole-brain and regional measurements. MCI patients had reduced network completeness and clustering, and increased mean path length. Even after parsimonious correction for multiple comparisons, cortical disconnection was evident not only in medial and lateral parietal areas, but also diffusely in insula, inferior frontal and posterior temporal regions. MCI is associated with substantial alterations of network topological parameters. These network changes are observed in regions corresponding to the principal cortical hubs of amyloid pathology but additionally extend beyond them along known axes of functional connectivity. The ability to detect pathologically relevant changes in connectivity on task-free fMRI at low cost and high patient acceptability underscores the potential of this approach not only to identify functional biomarkers of prodromal AD but also its future usability in clinical practice." @default.
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- W2005196349 date "2013-07-01" @default.
- W2005196349 modified "2023-10-16" @default.
- W2005196349 title "P1-306: High-resolution, graph-based analysis reveals pervasive functional disconnection in mild cognitive impairment" @default.
- W2005196349 doi "https://doi.org/10.1016/j.jalz.2013.05.532" @default.
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