用多模态神经成像技术描述运动障碍的症状特异性网络。

IF 6.7 1区 医学 Q1 NEUROSCIENCES
Elizabeth G Ellis, Garance M Meyer, Valtteri Kaasinen, Daniel T Corp, Nicola Pavese, Martin M Reich, Juho Joutsa
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引用次数: 0

摘要

帕金森病、本质性震颤和肌张力障碍等运动障碍以其主要的运动症状为特征,然而导致运动异常的疾病还包括其他一些症状,包括非运动症状。在此,我们回顾了脑损伤、神经影像学和神经调控研究的最新进展,这些研究提供了运动障碍症状特异性脑网络的综合证据。虽然运动障碍传统上被认为是基底神经节的疾病,但从导致帕金森氏症、震颤和肌张力障碍的脑损伤中积累的数据表明,这种观点并不全面。最近的几项研究表明,导致特定运动障碍的病变发生在不同的大脑位置,但却破坏了共同的大脑网络,而这些网络似乎是每种运动表型所特有的。此外,运动障碍的结构性和功能性神经影像学研究结果表明,大脑异常远远超出了与运动症状相关的大脑网络。事实上,每种运动障碍的神经影像学发现都受到患者症状群的强烈影响,这些症状群似乎也映射到特定的网络,而不是个别的解剖结构或单一的神经递质。最后,脑深部刺激的观察结果表明,临床变化(包括症状改善和副作用)取决于大规模网络的调节,而非神经调节的纯粹局部效应。这些多模态证据表明,运动障碍的症状源自不同的大脑网络,因此鼓励开展多模态成像研究,以更好地确定症状特异性机制的基本特征,并为患者量身定制治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multimodal neuroimaging to characterize symptom-specific networks in movement disorders.

Multimodal neuroimaging to characterize symptom-specific networks in movement disorders.

Movement disorders, such as Parkinson's disease, essential tremor, and dystonia, are characterized by their predominant motor symptoms, yet diseases causing abnormal movement also encompass several other symptoms, including non-motor symptoms. Here we review recent advances from studies of brain lesions, neuroimaging, and neuromodulation that provide converging evidence on symptom-specific brain networks in movement disorders. Although movement disorders have traditionally been conceptualized as disorders of the basal ganglia, cumulative data from brain lesions causing parkinsonism, tremor and dystonia have now demonstrated that this view is incomplete. Several recent studies have shown that lesions causing a given movement disorder occur in heterogeneous brain locations, but disrupt common brain networks, which appear to be specific to each motor phenotype. In addition, findings from structural and functional neuroimaging in movement disorders have demonstrated that brain abnormalities extend far beyond the brain networks associated with the motor symptoms. In fact, neuroimaging findings in each movement disorder are strongly influenced by the constellation of patients' symptoms that also seem to map to specific networks rather than individual anatomical structures or single neurotransmitters. Finally, observations from deep brain stimulation have demonstrated that clinical changes, including both symptom improvement and side effects, are dependent on the modulation of large-scale networks instead of purely local effects of the neuromodulation. Combined, this multimodal evidence suggests that symptoms in movement disorders arise from distinct brain networks, encouraging multimodal imaging studies to better characterize the underlying symptom-specific mechanisms and individually tailor treatment approaches.

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来源期刊
NPJ Parkinson's Disease
NPJ Parkinson's Disease Medicine-Neurology (clinical)
CiteScore
9.80
自引率
5.70%
发文量
156
审稿时长
11 weeks
期刊介绍: npj Parkinson's Disease is a comprehensive open access journal that covers a wide range of research areas related to Parkinson's disease. It publishes original studies in basic science, translational research, and clinical investigations. The journal is dedicated to advancing our understanding of Parkinson's disease by exploring various aspects such as anatomy, etiology, genetics, cellular and molecular physiology, neurophysiology, epidemiology, and therapeutic development. By providing free and immediate access to the scientific and Parkinson's disease community, npj Parkinson's Disease promotes collaboration and knowledge sharing among researchers and healthcare professionals.
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