Please use this identifier to cite or link to this item:
|Title:||Disrupted functional brain connectivity and its association to structural connectivity in amnestic mild cognitive impairment and alzheimer's disease||Authors:||Sun, Y.
|Issue Date:||7-May-2014||Citation:||Sun, Y., Yin, Q., Fang, R., Yan, X., Wang, Y., Bezerianos, A., Tang, H., Miao, F., Sun, J. (2014-05-07). Disrupted functional brain connectivity and its association to structural connectivity in amnestic mild cognitive impairment and alzheimer's disease. PLoS ONE 9 (5) : -. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0096505||Abstract:||Although anomalies in the topological architecture of whole-brain connectivity have been found to be associated with Alzheimer's disease (AD), our understanding about the progression of AD in a functional connectivity (FC) perspective is still rudimentary and few study has explored the function-structure relations in brain networks of AD patients. By using restingstate functional MRI (fMRI), this study firstly investigated organizational alternations in FC networks in 12 AD patients, 15 amnestic mild cognitive impairment (aMCI) patients, and 14 age-matched healthy aging subjects and found that all three groups exhibit economical small-world network properties. Nonetheless, we found a decline of the optimal architecture in the progression of AD, represented by a more localized modular organization with less efficient local information transfer. Our results also show that aMCI forms a boundary between normal aging and AD and represents a functional continuum between healthy aging and the earliest signs of dementia. Moreover, we revealed a dissociated relationship between the overall FC and structural connectivity (SC) in AD patients. In this study, diffusion tensor imaging tractography was used to map the structural network of the same individuals. The decreased FC-SC coupling may be indicative of more stringent and less dynamic brain function in AD patients. Our findings provided insightful implications for understanding the pathophysiological mechanisms of brain dysfunctions in aMCI and AD patients and demonstrated that functional disorders can be characterized by multimodal neuroimaging-based metrics. © 2014 Sun et al.||Source Title:||PLoS ONE||URI:||http://scholarbank.nus.edu.sg/handle/10635/128725||ISSN:||19326203||DOI:||10.1371/journal.pone.0096505|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
|10_1371_journal_pone_0096505.pdf||2.1 MB||Adobe PDF|
checked on Feb 27, 2020
WEB OF SCIENCETM
checked on Feb 20, 2020
checked on Feb 21, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.