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Research Paper|Volume 12, Issue 4|pp 3911—3925

Subjective cognitive decline detected by the oscillatory connectivity in the default mode network: a magnetoencephalographic study

Chia-Hsiung Cheng1,2,3,4, Pei-Ning Wang5,6,7, Hui-Fen Mao8,9, Fu-Jung Hsiao5
  • 1Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan
  • 2Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
  • 3Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan
  • 4Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan
  • 5Brain Research Center, National Yang-Ming University, Taipei, Taiwan
  • 6Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
  • 7Department of Neurology, National Yang-Ming University, Taipei, Taiwan
  • 8School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan
  • 9Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan
Received: September 26, 2019Accepted: February 8, 2020Published: February 25, 2020
https://doi.org/10.18632/aging.102859

Copyright © 2020 Cheng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Discriminating between those with and without subjective cognitive decline (SCD) in cross-sectional investigations using neuropsychological tests is challenging. The available magnetoencephalographic (MEG) studies have demonstrated altered alpha-band spectral power and functional connectivity in those with SCD. However, whether the functional connectivity in other frequencies and brain networks, particularly the default mode network (DMN), exhibits abnormalities in SCD remains poorly understood. We recruited 26 healthy controls (HC) without SCD and 27 individuals with SCD to perform resting-state MEG recordings. The power of each frequency band and functional connectivity within the DMN were compared between these two groups. Posterior cingulate cortex (PCC)-based connectivity was also used to test its diagnostic accuracy as a predictor of SCD. There were no significant between-group differences of spectral power in the regional nodes. However, compared with HC, those with SCD demonstrated increased delta-band and gamma-band functional connectivity within the DMN. Moreover, node strength in the PCC exhibited a good discrimination ability at both delta and gamma frequencies. Our data suggest that the node strength of delta and gamma frequencies in the PCC may be a good neurophysiological marker in the discrimination of individuals with SCD from those without SCD.