Journal
AMERICAN JOURNAL OF NEURORADIOLOGY
Volume 34, Issue 2, Pages 340-345Publisher
AMER SOC NEURORADIOLOGY
DOI: 10.3174/ajnr.A3197
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Funding
- National Natural Science Foundation of China [60931003, 60905063]
- Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences [Y1CX251005]
- National Institute of Mental Health [RO1 MH57899]
- National Institute on Aging [R01 AG031581-10, P30 AG19610, k23 AG24062]
- state of Arizona
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BACKGROUND AND PURPOSE: AD has been documented as a kind of disconnection syndrome by functional neuroimaging studies. The primary focus of this study was to examine, with the use of resting-state fMRI, whether AD would impact connectivity among RSNs. MATERIALS AND METHODS: Fourteen patients with AD and 16 NC were recruited and scanned by using resting-state fMRI. Group independent-component analysis and the BN learning approach were used, respectively, to separate the RSNs and construct the network-to-network connectivity patterns for each group. The convergence index for the special network DMN was measured. RESULTS: Three of the 4 connections were significantly lower in AD compared with NC. Although numerically the AD group had more connections, none was statistically different from that in the NC group except for 1 increased connection from the DMN to the DAN. The convergence index for the DMN node was lower in AD than in NC. CONCLUSIONS: Connections among cognitive networks in AD were more vulnerable to impairment than sensory networks. The DMN decreased its integration function for other RSNs but may also play a role in compensating for the disrupted connections in AD.
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