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Brain Imaging and Behavior

, Volume 11, Issue 3, pp 619–631 | Cite as

Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study

  • Suping Cai
  • Tao Chong
  • Yanlin Peng
  • Wenyue Shen
  • Jun Li
  • Karen M. von Deneen
  • Liyu Huang
  • Alzheimer’s Disease Neuroimaging Initiative
Original Research

Abstract

Amnestic mild cognitive impairment MCI (aMCI) has a high progression to Alzheimer’s disease (AD). Recently, resting-state functional MRI (RS-fMRI) has been increasingly utilized in studying the pathogenesis of aMCI, especially in resting-state networks (RSNs). In the current study, we aimed to explore abnormal RSNs related to memory deficits in aMCI patients compared to the aged-matched healthy control group using RS-fMRI techniques. Firstly, we used ALFF (amplitude of low-frequency fluctuation) method to define the regions of interest (ROIs) which exhibited significant changes in aMCI compared with the control group. Then, we divided these ROIs into different networks in line with prior studies. The aim of this study is to explore the functional connectivity between these ROIs within networks and also to investigate the connectivity between networks. Comparing aMCI to the control group, our results showed that 1) the hippocampus (HIPP) had decreased FC with the medial prefrontal cortex (mPFC) and inferior parietal lobe (IPL), and the mPFC showed increased connectivity to IPL in the default mode network; 2) the thalamus showed decreased FC with the putamen and HIPP, and the HIPP showed increased connectivity to the putamen in the limbic system; 3) the supplementary motor area had decreased FC with the middle temporal gyrus and increased FC with the superior parietal lobe in the sensorimotor network; 4) increased connectivity between the lingual gyrus and middle occipital gyrus in the visual network; and 5) the DMN has reduced inter-network connectivities with the SMN and VN. These findings indicated that functional brain networks involved in cognition such as episodic memory, sensorimotor and visual cognition in aMCI were altered, and provided a new sight in understanding the important subtype of aMCI.

Keywords

Default mode network Limbic system Sensorimotor network Visual network Functional connectivity Amnestic mild cognitive impairment 

Notes

Acknowledgments

This study was funded by the National Natural Science Foundation of China under grant NOs.81071221 and 31271063; the Fundamental Science Research Funds for the Central Universities under grant NO. NSIY131409. Also, all of the authors disclose no conflict of interest for the current study.

Data collection and sharing for this project were funded by the ADNI (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-20012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; BioClinica, Inc.; Biogen Idec Inc.; Bristol-Myers Squibb Company; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; F.Hoffmann-La Roche Ltd. and its affiliated company Genentech, Inc.; GE Healthcare; Innogenetics, N.V.; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc.; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Synarc Inc.; and Takeda Pharmaceutical Company. Private sector contributions were facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.

Compliance with ethical standards

Conflict of interest

Suping Cai, Tao Chong, Jun Li, Yanlin Peng, Wenyue Shen, Karen M. von Deneen, Liyu Huang and Alzheimer’s Disease Neuroimaging Initiative declare that they have no conflict of interest.

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Authors and Affiliations

  • Suping Cai
    • 1
  • Tao Chong
    • 1
  • Yanlin Peng
    • 1
  • Wenyue Shen
    • 1
  • Jun Li
    • 1
  • Karen M. von Deneen
    • 1
  • Liyu Huang
    • 1
  • Alzheimer’s Disease Neuroimaging Initiative
  1. 1.School of Life Science and TechnologyXidian UniversityXi’anChina

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