Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson’s disease

Author:

Asendorf Adrian L.ORCID,Theis HendrikORCID,Tittgemeyer MarcORCID,Timmermann LarsORCID,Fink Gereon R.ORCID,Drzezga AlexanderORCID,Eggers CarstenORCID,Hoenig Merle C.ORCID,van Eimeren ThiloORCID

Abstract

AbstractIntroductionRecent studies in Parkinson’s disease (PD) patients reported disruptions in dynamic functional connectivity (dFC, i.e., a characterization of spontaneous fluctuations in functional connectivity over time). Here, we assessed whether the integrity of striatal dopamine terminals directly modulates dFC metrics in separate PD cohorts, indexing dopamine-dependent changes in large-scale brain network dynamics and its implications in clinical features.MethodsWe pooled data from two cohorts reflecting early PD. From the Parkinson’s Progression Marker Initiative (PPMI) cohort, resting-state functional magnetic resonance imaging (rsfMRI) and dopamine transporter (DaT) SPECT were available for 63 PD patients and 16 age- and sex-matched healthy controls. From the clinical research group 219 (KFO) cohort, rsfMRI imaging was available for 52 PD patients and 17 age- and sex-matched healthy controls. A subset of 41 PD patients and 13 healthy control subjects additionally underwent18F-DOPA-PET imaging. The striatal synthesis capacity of18F-DOPA PET and dopamine terminal quantity of DaT SPECT images were extracted for the putamen and the caudate. After rsfMRI pre-processing, an independent component analysis was performed on both cohorts simultaneously. Based on the derived components, an individual sliding window approach (44s window) and a subsequent k-means clustering were conducted separately for each cohort to derive dFC states (reemerging intra- and interindividual connectivity patterns). From these states we derived temporal metrics, such as average dwell time per state, state attendance, and number of transitions and compared them between groups and cohorts. Further, we correlated these with the respective measures for local dopaminergic impairment and clinical severity.ResultsIn both cohorts, dFC analysis resulted in three distinct states, varying in connectivity patterns and strength. In the PPMI cohort, PD patients showed a lower state attendance for the globally integrated (GI) state (X2(1, N=79) = 5.82,p= 0.016) and a lower number of transitions (U(N=79) = 337.5, z = −2.06 p= .039) than controls. Significantly, worse motor scores (UPDRS-III) and dopaminergic impairment in the putamen and the caudate were associated with low average dwell time in the GI state (UPDRS-III: τb(N=63) = −.281;p=.003, DaT putamen: τb(N=63)=.213,p= .023, DaT caudate: τb(N=63)=.209,p= .025) and a low total number of transitions (UPDRS-III: τb(N=63)= −.308; p = .001, DaT putamen: τb(N=63)=.350,p<.001, DaT caudate: τb(N=63)=.251,p=.007). Additionally, worse motor performance was associated with a low number of bi-directional transitions between the GI and the lesser connected (LC) state (τb(N=63)= −.237;p =.019). These results could not be reproduced in the KFO cohort: No group differences in dFC measures or associations between dFC variables and dopamine synthesis capacity or clinical measure were observed.ConclusionIn early PD, relative preservation of motor performance may be linked to a more dynamic engagement of an interconnected brain state. Specifically, those large-scale network dynamics seem to depend on striatal dopamine availability. Notably, we obtained these results in only one cohort, but not in a replication sample.Key pointsExploring dopamine’s role in brain network dynamics in two Parkinson’s disease (PD) cohorts, we unraveled PD-specific changes in dynamic functional connectivity (dFC).In the discovery cohort, results suggest striatal dopamine availability influences large-scale network dynamics that are relevant in motor control.In the confirmation cohort, these findings were not replicated, indicating PD-specific dFC changes are dependent on unrecognized cohort features.

Publisher

Cold Spring Harbor Laboratory

Reference55 articles.

1. On the Surprising Behavior of Distance Metrics in High Dimensional Space

2. Tracking Whole-Brain Connectivity Dynamics in the Resting State

3. A Baseline for the Multivariate Comparison of Resting-State Networks

4. Asenbaum, S. , Brücke, T. , Pirker, W. , Podreka, I. , Angelberger, P. , Wenger, S. , Wöber, C. , Müller, C. , & Deecke, L . (1997). Imaging of Dopamine Transporters with Iodine-123- and SPECT in Parkinson ’ s Disease. 38(1–6).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3