パーキンソン病の新しい電気的シグネチャーを発見(A New Electrical Signature of Parkinson’s Disease)

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2025-10-30 マックス・プランク研究所

マックス・プランク人間認知・脳科学研究所(ライプツィヒ)のヴァディム・ニクリン博士らは、パーキンソン病患者の脳から記録される“ノイズ”信号に、症状と直接関係する新たな電気的特徴を発見した。これまで研究の焦点だったリズミカルなβ波(約20Hz)とは異なり、非リズミカルな活動成分(ノイズ)が運動症状の重症度とより強く相関していた。研究はベルリン・シャリテー大学、デュッセルドルフ大学、オックスフォード大学など欧州の脳深部刺激(DBS)センターと連携し、DBS電極を用いて大規模データを取得。従来無視されてきたノイズ信号を解析することで、患者ごとの神経活動の個性を抽出できることを示した。これにより、脳活動をリアルタイムでモニタリングし、刺激強度を自動調整する「適応型DBS」開発に道が開かれる。成果はパーキンソン病の病態理解と個別化治療の両面で画期的と評価される。

<関連情報>

ベータ波を超えて:視床下非周期性広帯域パワーはパーキンソン病の重症度と相関する ― 横断的多施設共同研究 Beyond beta rhythms: subthalamic aperiodic broadband power scales with Parkinson’s disease severity–a cross-sectional multicentre study

Moritz Gerster ∙ Gunnar Waterstraat ∙ Thomas S. Binns ∙ Natasha Darcy ∙ Christoph Wiest ∙ Richard M. Köhler ∙ et al.
eBioMedicine  Published: October 29, 2025
DOI:https://doi.org/10.1016/j.ebiom.2025.105988

パーキンソン病の新しい電気的シグネチャーを発見(A New Electrical Signature of Parkinson’s Disease)

Summary

Background

Parkinson’s disease is linked to increased beta rhythms (13–30 Hz) in the subthalamic nucleus, which correlate with motor symptoms. However, findings across studies are inconsistent. Furthermore, the contribution of other frequencies to symptom severity remains underexplored.

Methods

We analysed subthalamic local field potentials from 119 patients with Parkinson’s disease (31 female; mean age 60 ± 9 years) across five independent datasets. Power spectra were parametrised and studied in relation to Levodopa administration and the severity of motor symptoms.

Findings

Our findings suggest that small sample sizes contributed to the variable correlations between beta power and motor symptoms reported in previous studies. Here, we demonstrate that more than 100 patients are required for stable replication. Aperiodic offset and low gamma (30–45 Hz) oscillations were negatively correlated with motor deficits (Offset=-0.32, =4⁢-4; L⁢γ=-0.21, =0.021), whereas low beta oscillations were positively correlated (L⁢β=0.24, =0.010). Combining offset, low beta, and low gamma power (Lin.reg.(Offset,L⁢β,L⁢γ)=0.47, =1⁢-4) explained significantly more variance in symptom severity than low beta alone (J-test: =2⁢-5). Interhemispheric within-patient analyses showed that, unlike beta oscillations, aperiodic broadband power (2–60 Hz)–likely reflecting spiking activity–was increased in the more affected hemisphere (Levodopa off-state: =0.015; on-state: =0.005).

Interpretation

Spectral features beyond conventional beta rhythms are critical to understanding Parkinson’s pathophysiology. Aperiodic broadband power shows potential as a new biomarker for adaptive deep brain stimulation, providing important insights into the relationship between subthalamic hyperactivity and motor symptoms in Parkinson’s disease.

Funding

This work was supported by Deutsche Forschungsgemeinschaft (German Research Foundation) Project ID 424778381 TRR 295 “ReTune”. H.A. is supported by NIHR UCLH BRC. This work was supported by an MRC Clinician Scientist Fellowship (MR/W024810/1) held by A.O. W.-J.N. received funding from the European Union (ERC, ReinforceBG, project 101077060). E.F. received funding from the Volkswagen foundation (Lichtenberg program 89387). G.W. and L.R. received funding from Deutsche Forschungsgemeinschaft Project ID 511192033.

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