CLC number: R749
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-11-16
Cited: 0
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Zheng-Luan Liao, Yun-Fei Tan, Ya-Ju Qiu, Jun-Peng Zhu, Yan Chen, Si-Si Lin, Ming-Hao Wu, Yan-Ping Mao, Jiao-Jiao Hu, Zhong-Xiang Ding, En-Yan Yu. Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model[J]. Journal of Zhejiang University Science B, 2018, 19(12): 924-934.
@article{title="Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model",
author="Zheng-Luan Liao, Yun-Fei Tan, Ya-Ju Qiu, Jun-Peng Zhu, Yan Chen, Si-Si Lin, Ming-Hao Wu, Yan-Ping Mao, Jiao-Jiao Hu, Zhong-Xiang Ding, En-Yan Yu",
journal="Journal of Zhejiang University Science B",
volume="19",
number="12",
pages="924-934",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1800381"
}
%0 Journal Article
%T Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model
%A Zheng-Luan Liao
%A Yun-Fei Tan
%A Ya-Ju Qiu
%A Jun-Peng Zhu
%A Yan Chen
%A Si-Si Lin
%A Ming-Hao Wu
%A Yan-Ping Mao
%A Jiao-Jiao Hu
%A Zhong-Xiang Ding
%A En-Yan Yu
%J Journal of Zhejiang University SCIENCE B
%V 19
%N 12
%P 924-934
%@ 1673-1581
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1800381
TY - JOUR
T1 - Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model
A1 - Zheng-Luan Liao
A1 - Yun-Fei Tan
A1 - Ya-Ju Qiu
A1 - Jun-Peng Zhu
A1 - Yan Chen
A1 - Si-Si Lin
A1 - Ming-Hao Wu
A1 - Yan-Ping Mao
A1 - Jiao-Jiao Hu
A1 - Zhong-Xiang Ding
A1 - En-Yan Yu
J0 - Journal of Zhejiang University Science B
VL - 19
IS - 12
SP - 924
EP - 934
%@ 1673-1581
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1800381
Abstract: The purpose of this study was to explore the differences in interhemispheric functional connectivity in patients with alzheimer’;s disease (AD) and amnestic mild cognitive impairment (aMCI) based on a triple network model consisting of the default mode network (DMN), salience network (SN), and executive control network (ECN). The technique of voxel-mirrored homotopic connectivity (VMHC) analysis was applied to explore the aberrant connectivity of all patients. The results showed that: (1) the statistically significant connections of interhemispheric brain regions included DMN-related brain regions (i.e. precuneus, calcarine, fusiform, cuneus, lingual gyrus, temporal inferior gyrus, and hippocampus), SN-related brain regions (i.e. frontoinsular cortex), and ECN-related brain regions (i.e. frontal middle gyrus and frontal inferior); (2) the precuneus and frontal middle gyrus in the AD group exhibited lower VMHC values than those in the aMCI and healthy control (HC) groups, but no significant difference was observed between the aMCI and HC groups; and (3) significant correlations were found between peak VMHC results from the precuneus and Mini Mental State Examination (MMSE) and Montreal Cognitive Scale (MOCA) scores and their factor scores in the AD, aMCI, and AD plus aMCI groups, and between the results from the frontal middle gyrus and MOCA factor scores in the aMCI group. These findings indicated that impaired interhemispheric functional connectivity was observed in AD and could be a sensitive neuroimaging biomarker for AD. More specifically, the DMN was inhibited, while the SN and ECN were excited. VMHC results were correlated with MMSE and MOCA scores, highlighting that VMHC could be a sensitive neuroimaging biomarker for AD and the progression from aMCI to AD.
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