Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities. Issue 11 (5th April 2019)

• Record Type: Journal Article
• Authors: Fu, Zening; Caprihan, Arvind; Chen, Jiayu; Du, Yuhui; Adair, John C.; Sui, Jing; Rosenberg, Gary A.; Calhoun, Vince D.
• Is Part Of: Human brain mapping. Volume 40:Issue 11(2019)
• Page Start: 3203
• Page End: 3221
• Publication Date: 2019-04-05
• Subjects: Alzheimer's disease (AD) -- cognitive impairment -- dynamic functional network connectivity (dFNC) -- resting‐state functional network connectivity (rs‐FNC) -- subcortical ischemic vascular disease (SIVD); Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24591
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Subcortical ischemic vascular disease (SIVD) is a major subtype of vascular dementia with features that overlap clinically with Alzheimer's disease (AD), confounding diagnosis. Neuroimaging is a more specific and biologically based approach for detecting brain changes and thus may help to distinguish these diseases. There is still a lack of knowledge regarding the shared and specific functional brain abnormalities, especially functional connectivity changes in relation to AD and SIVD. In this study, we investigated both static functional network connectivity (sFNC) and dynamic FNC (dFNC) between 54 intrinsic connectivity networks in 19 AD patients, 19 SIVD patients, and 38 age‐matched healthy controls. The results show that both patient groups have increased sFNC between the visual and cerebellar (CB) domains but decreased sFNC between the cognitive‐control and CB domains. SIVD has specifically decreased sFNC within the sensorimotor domain while AD has specifically altered sFNC between the default‐mode and CB domains. In addition, SIVD has more occurrences and a longer dwell time in the weakly connected dFNC states, but with fewer occurrences and a shorter dwell time in the strongly connected dFNC states. AD has both similar and opposite changes in certain dynamic features. More importantly, the dynamic features are found to be associated with cognitive performance. Our findings highlight similar and distinct functional connectivity alterations in AD and SIVD from both static and dynamic perspectives and indicate dFNC to be a more important biomarker for dementia since its progressively altered patterns can better track cognitive impairment in AD and SIVD.