Abnormal neural activity and functional connectivity in amnestic Mild cognitive impairmet: A resting state fMRI study

Liu, R. and Hu, B. and Yao, Z. and Ratcliffe, M. and Wang, Wen and Liang, C. and Cai, Q. and Yang, Jing and Zhao, Q. (2013) Abnormal neural activity and functional connectivity in amnestic Mild cognitive impairmet: A resting state fMRI study. In: 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013, 6 November 2013 through 8 November 2013, San Diego, CA; United States.

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Abstract

Mild cognitive impairment (MCI) is a brain-function syndrome involving the onset and evolution of cognitive impairments which are not significant enough to interfere with daily activities. In this study, we used resting state functional magnetic resonance imaging (fMRI) to detect the whole brain fractional amplitude of low-frequency fluctuations (fALFF) and functional connectivity in 32 amnestic MCI subjects (aMCIs) and 28 healthy elderly normal controls (NCs). Compared to NCs, aMCIs showed significant decreases of fALFF value in right inferior temporal gyrus, left inferior occipital gyrus and left postcentral gyrus, while increases were found mainly in the right lingual and precunues. The functional connectivity decreased in the regions of left dorsolateral superior frontal gyrus, the right orbital frontal gyrus and left inferior temporal gyrus. These findings may be helpful to understand the pathophysiological mechanism of mild cognitive impairment. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Identification Number: https://doi.org/10.1109/NER.2013.6696047
Dates:
DateEvent
2013Published
Uncontrolled Keywords: Cognitive impairment, Functional connectivity, Low Frequency Fluctuations, Mild cognitive impairments, Mild cognitive impairments (MCI), Pathophysiological, Resting-state fmri, Resting-state functional magnetic resonance imaging, Magnetic resonance imaging, Neurons, Brain
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-10 - others in engineering
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Hussen Farooq
Date Deposited: 04 Aug 2016 12:26
Last Modified: 03 Mar 2022 15:47
URI: https://www.open-access.bcu.ac.uk/id/eprint/2562

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