Abstract

To characterize Parkinson’s disease, abnormal phase-amplitude coupling is assessed in the cortico-basal circuit using invasive recordings. It is unknown whether the same phenomenon might be found in regions other than the cortico-basal ganglia circuit. We hypothesized that using magnetoencephalography to assess phase-amplitude coupling in the whole brain can characterize Parkinson’s disease. We recorded resting-state magnetoencephalographic signals in patients with Parkinson’s disease and in healthy age- and sex-matched participants. We compared whole-brain signals from the two groups, evaluating the power spectra of 3 frequency bands (alpha, 8–12 Hz; beta, 13–25 Hz; gamma, 50–100 Hz) and the coupling between gamma amplitude and alpha or beta phases. Patients with Parkinson’s disease showed significant beta–gamma phase-amplitude coupling that was widely distributed in the sensorimotor, occipital, and temporal cortices; healthy participants showed such coupling only in parts of the somatosensory and temporal cortices. Moreover, beta- and gamma-band power differed significantly between participants in the two groups (P < 0.05). Finally, beta–gamma phase-amplitude coupling in the sensorimotor cortices correlated significantly with motor symptoms of Parkinson’s disease (P < 0.05); beta- and gamma-band power did not. We thus demonstrated that beta–gamma phase-amplitude coupling in the resting state characterizes Parkinson’s disease.

Details

Title
Magnetoencephalography detects phase-amplitude coupling in Parkinson’s disease
Author
Tanaka, Masataka 1 ; Yanagisawa Takufumi 2 ; Fukuma Ryohei 2 ; Tani Naoki 1 ; Oshino Satoru 1 ; Mihara Masahito 3 ; Hattori Noriaki 4 ; Kajiyama Yuta 3 ; Hashimoto Ryota 5 ; Ikeda Manabu 6 ; Mochizuki Hideki 3 ; Kishima Haruhiko 1 

 Osaka University Graduate School of Medicine, Department of Neurosurgery, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
 Osaka University Graduate School of Medicine, Department of Neurosurgery, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); Osaka University, Institute for Advanced Co-Creation Studies, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); ATR Computational Neuroscience Laboratories, Department of Neuroinformatics, Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583) 
 Osaka University Graduate School of Medicine, Department of Neurology, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
 Osaka University Graduate School of Medicine, Department of Neurology, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); University of Toyama, Department of Rehabilitation, Faculty of Medicine, Academic Assembly, Toyama, Japan (GRID:grid.267346.2) (ISNI:0000 0001 2171 836X) 
 National Center of Neurology and Psychiatry, Department of Pathology of Mental Diseases, National Institute of Mental Health, Kodaira, Japan (GRID:grid.419280.6) (ISNI:0000 0004 1763 8916); Osaka University Graduate School of Medicine, Department of Psychiatry, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); Osaka University, Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
 Osaka University Graduate School of Medicine, Department of Psychiatry, Suita, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2625128161
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.