Litcius/Paper detail

Magnetoencephalography detects phase-amplitude coupling in Parkinson’s disease

Masataka Tanaka, Takufumi Yanagisawa, Ryohei Fukuma, Naoki Tani, Satoru Oshino, Masahito Mihara, Noriaki Hattori, Yuta Kajiyama, Ryota Hashimoto, Manabu Ikeda, Hideki Mochizuki, Haruhiko Kishima

2022Scientific Reports15 citationsDOIOpen Access PDF

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.

Topics & Concepts

MagnetoencephalographyParkinson's diseaseCoupling (piping)BETA (programming language)NeuroscienceBeta RhythmAmplitudeResting state fMRIPhysicsBasal gangliaElectroencephalographyAudiologyAlpha (finance)MedicineNuclear magnetic resonancePsychologyDiseaseInternal medicineCentral nervous systemComputer scienceSurgeryMaterials scienceConstruct validityMetallurgyQuantum mechanicsProgramming languagePatient satisfactionNeural dynamics and brain functionFunctional Brain Connectivity StudiesEEG and Brain-Computer Interfaces