Nakano Yoshikazu, Niethammer Martin, Eidelberg David
Center for Neurosciences, The Feinstein Institutes for Medical Research, Manhasset, New York 11030, USA.
Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, USA.
Cold Spring Harb Perspect Med. 2025 Mar 17. doi: 10.1101/cshperspect.a041841.
Functional neuroimaging techniques are increasingly being used to advance the diagnosis and management of Parkinson's disease (PD). Methods such as [F]-fluorodeoxyglucose positron emission tomography (FDG PET), resting-state functional magnetic resonance imaging (rs-fMRI), arterial spin labeling (ASL) MRI, and single-photon emission computed tomography (SPECT) enable the identification of disease-specific patterns like the PD-related pattern (PDRP) and PD cognition-related pattern (PDCP), which correlate with motor and cognitive symptoms. Network analysis using graph theory further elucidates the alterations in brain connectivity associated with PD, providing insights into disease progression and response to treatment. Moreover, these neuroimaging patterns assist in distinguishing PD from atypical parkinsonian syndromes, enhancing diagnostic accuracy. Understanding the impact of genetic variants like and on functional connectivity highlights the potential for precision medicine in PD. As neuroimaging technologies evolve, their integration into clinical practice will be pivotal in the personalized management of PD, offering improved diagnostic precision and targeted therapeutic interventions.
功能神经成像技术越来越多地被用于推进帕金森病（PD）的诊断和管理。诸如[F]-氟脱氧葡萄糖正电子发射断层扫描（FDG PET）、静息态功能磁共振成像（rs-fMRI）、动脉自旋标记（ASL）MRI和单光子发射计算机断层扫描（SPECT）等方法能够识别特定疾病模式，如帕金森病相关模式（PDRP）和帕金森病认知相关模式（PDCP），这些模式与运动和认知症状相关。使用图论的网络分析进一步阐明了与帕金森病相关的脑连接改变，为疾病进展和治疗反应提供了见解。此外，这些神经成像模式有助于将帕金森病与非典型帕金森综合征区分开来，提高诊断准确性。了解诸如[具体基因变异]等基因变异对功能连接的影响凸显了帕金森病精准医学的潜力。随着神经成像技术的发展，将其整合到临床实践中将对帕金森病的个性化管理至关重要，可提供更高的诊断精度和针对性的治疗干预。
