Enhanced resting-state functional connectivity between core memory-task activation peaks is associated with memory impairment in MCI

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• 作者：Yifei Zhang^a ; ^b ; ^{zhangyifei@shu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Lee Simon-Vermot^a ; Miguel Á ; . Araque Caballero^a ; Benno Gesierich^a ; Alexander N.W. Taylor^a ; Marco Duering^a ; Martin Dichgans^a ; ^c ; Michael Ewers^a ; ^{Michael.Ewers@med.uni-muenchen.de" class="auth_mail" title="E-mail the corresponding author} ; for the Alzheimer's Disease Neuroimaging Initiative¹
• 关键词：Alzheimer's disease ; Functional connectivity ; Episodic memory ; Mild cognitive impairment ; Resting-state functional MRI ; Compensation ; Network
• 刊名：Neurobiology of Aging
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：45
• 期：Complete
• 页码：43-49
• 全文大小：930 K

文摘

Resting-state functional connectivity (FC) is altered in Alzheimer's disease (AD) but its predictive value for episodic memory impairment is debated. Here, we aimed to assess whether resting-state FC in core brain regions activated during memory-task functional magnetic resonance imaging is altered and predictive of memory performance in AD and amnestic mild cognitive impairment (aMCI). Twenty-three elderly cognitively healthy controls (HC), 76 aMCI subjects, and 19 AD dementia patients were included. We computed resting-state FC between 18 meta-analytically determined peak coordinates of brain activation during successful memory retrieval. Higher FC between the parahippocampus, parietal cortex, and the middle frontal gyrus was observed in both AD and mild cognitive impairment compared to HC (false-discovery rate—corrected p < 0.05). The increase in FC between the parahippocampus and middle frontal gyrus was associated with reduced episodic memory in aMCI, independent of amyloid-beta positron emission tomography binding and apolipoprotein E ε4-carrier status. In conclusion, increased parahippocampal-prefrontal FC is predictive of impaired episodic memory in aMCI and may reflect a dysfunctional change within the episodic memory–related neural network.