Apathy and intrinsic functional connectivity networks in amnestic mild cognitive impairment
Authors Joo SH, Lee CU, Lim HK
Received 28 September 2016
Accepted for publication 31 October 2016
Published 23 December 2016 Volume 2017:13 Pages 61—67
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Taro Kishi
Soo Hyun Joo,1 Chang Uk Lee,1 Hyun Kook Lim2
1Department of Psychiatry, Seoul St Mary’s Hospital, Seoul, 2Department of Psychiatry, Saint Vincent Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
Background: Although several prior works reported that apathy is associated with conversion to Alzheimer’s disease in individuals with amnestic mild cognitive impairment (aMCI), effects of apathy on the functional connectivity (FC) of the brain remain unclear. In this study, we assessed the pattern of association between apathy and default mode network (DMN), salience network and central executive network (CEN) in aMCI subjects.
Methods: Fifty subjects with aMCI and 50 controls (CONs) participated in this study. They underwent clinical assessments and magnetic resonance imaging for the structural and resting-state scan. We explored the patterns of association between apathy inventory (IA) total score and the whole-brain voxel-wise FCs of the DMN, salience network and CEN in aMCI subjects.
Results: We observed that the FCs of the DMN were less and those of CEN were more in the aMCI group than the CON group. Total IA score was negatively correlated with FCs of the anterior cingulate within the DMN, and positively correlated with FCs of the middle frontal, inferior frontal, and supramarginal gyrus within the CEN in the aMCI group.
Conclusion: Our findings suggest that distinctive patterns of association between apathy and FCs in the DMN and CEN in the aMCI group might reflect the putative role of functional network change in the development of apathy in aMCI.
Keywords: apathy, amnestic mild cognitive impairment, intrinsic connectivity networks
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