View Presentation Video

Xinyang Li^1,2, Yaotian Tian^1,2, Xiaonan Wang^1,2, Josef Pfeuffer³, Bénédicte Maréchal⁴, Kober Tobias⁴, Yanglei Wu⁵, Chunmei Li¹, and Min Chen^1
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China, ²Graduate School of Peking Union Medical College, Beijing, China, ³Siemens Healthcare GmhH, Erlangen, Germany, ⁴Siemens Healthineers International AG, Lausanne, Switzerland, ⁵MR Collaboration, Siemens Healthineers Ltd, Beijing, China

Keywords: Parkinson's Disease, Neurodegeneration, Depression

Arterial spin labeling-magnetic resonance imaging (ASL-MRI) combined with inline T1-weighted-based brain morphometry was used to evaluate regional cerebral blood flow in this study, which explored alteration of cerebral perfusion in Parkinson’s disease (PD) patients with depression and investigated its underlying neural mechanism. The results showed decreased cerebral perfusion in several brain regions in PD patients compared to healthy controls and a correlation between decreased cerebral perfusion of the right occipital white matter and right cingulate gyrus in PD patients with depression. This finding suggested that hypoperfusion of the limbic system is involved in the pathogenesis of PD with depression.

View Presentation Video

Samy Abo Seada¹, Anke W. van der Eerden¹, Agnita J.W. Boon², and Juan Antonio Hernandez-Tamames^1,3
1Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, ²Department of Neurology, Erasmus MC, Rotterdam, Netherlands, ³Department of Imaging Physics, TU Delft, Delft, Netherlands

Keywords: Parkinson's Disease, Multi-Contrast

A dedicated MRI protocol and decision tree are presented for differentially diagnosing parkinsonisms. Decision rules are based on existing literature which identified biomarkers with a sensitivity and specificity around or above 80%. Initial in-vivo results from patients are presented, and their MRI findings are partially in agreement with existing literature. Our goal is to test our method on patients at an early-stage when their clinical diagnosis is unclear.

View Presentation Video

Pengfei Zhang¹, Jun Wang¹, Laiyang Ma¹, Yanli Jiang¹, Wanjun Hu¹, Guangyao Liu¹, Kai Ai², and Jing Zhang^1,3
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, ²Philips Healthcare, Xi'an, China, ³Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China

Keywords: Parkinson's Disease, Parkinson's Disease, Motor symptoms, Neural networks

The functional alteration of the substantia nigra (SN), basal ganglia (BG), thalamus, and cortex are key hallmarks of Parkinson’s disease (PD) patients. Based on resting state functional magnetic resonance imaging, we investigated the functional connectivity (FC) of “cerebello-SN-BG-thalamo-motor cortical” network in the conventional and slow-4, slow-5 bands. PD patients demonstrated extensive FC decrease at conventional band, including inter-network connections of thalamo-cerebello-BG circuits, and connections between SN-putamen and postcentral gyrus-cerebellum. Slow-4 showed more thalamo-BG changes, while slow-5 specific FC was mainly the "cerebello-SN-BG-thalamo" circuits. The frequency specific alterations in motor related circuits may help in understanding the neuropathological mechanisms of PD.

Amei Chen¹, Junxiang Huang², Xiaofei Huang¹, Xiaofang Cheng³, Yongzhou Xu⁴, and Xinhua Wei^1
1Guangzhou First People's Hospital, Guangzhou, China, ²Guangzhou Women and Children's Medical Center, Guangzhou, China, ³The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, ⁴Philips Healthcare, Guangzhou, China

Keywords: Parkinson's Disease, Machine Learning/Artificial Intelligence, white matter connectivity, DTI, prediction model

In this study, the machine learning method was used to establish a prediction model for Parkinson’s disease(PD) progression by using white matter connectivity and clinical information. A total of 123 PD patients were included. White matter network connection analysis and clinical information collection were performed for each patient. The results showed that combined with the white matter connection and clinical features, a good model of PD disease progression was established. White matter network connectivity helps predict PD progression at the individual level.

View Presentation Video

Joseph H. C. Lai¹, Jianpan Huang¹, Yang Liu^1,2, Se Weon Park^1,2, Jiadi Xu³, and Kannie W. Y. Chan^1,2,3,4,5
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, ²Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong, ³Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁴City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, ⁵Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, Hong Kong

Keywords: Parkinson's Disease, CEST & MT

Reveal alterations in molecules and CSF-tissue water exchange could enable interactive interventions in PD. Here we applied CEST and MISL to study the changes in a PD model at 3T. We observed significant changes (P<0.05) at 2.6ppm on day 28 and at -3.5ppm on day 7, which could indicate a substantial decrease of dopamine and lipid-related pathology at the substantia nigra, respectively. Along the nigrostriatal pathway, we observed a gradual MISL drop at the ventricles, which was significantly lower at day 28 (P<0.05) and might imply the CSF-tissue-related pathologies. Our findings could serve as potential biomarkers for early PD detection.

View Presentation Video

Xiaomeng Zhang¹, Varsha Mohan¹, Dustin Wooten¹, Bradley A Hooker¹, Yuchuan Zhuang¹, Praveen Honhar², Sophie Holmes^2,3, Mika Naganawa², Mark Dias², Robert Comley¹, Richard E Carson^2,4, Sule Tinaz⁵, David Matuskey^2,3,5, Yanping Luo¹, and Sjoerd J Finnema^1
1Translational Imaging, Neuroscience, Abbvie, North Chicago, IL, United States, ²PET Center, Yale University, New Haven, CT, United States, ³Department of Psychiatry, Yale University, New Haven, CT, United States, ⁴Department of Biomedical Engineering, Yale University, New Haven, CT, United States, ⁵Department of Neurology, Yale University, New Haven, CT, United States

Keywords: Parkinson's Disease, Multimodal

Neuroimaging is widely used in Parkinson's disease patients to improve diagnosis, provide insights into the natural history of disease, and facilitate the development of new treatments.  Different MRI sequences and contrasts have been employed to study structure and function, whilst PET have been used to image receptors, transporters, enzymes and metabolism. In this study we evaluate relationships between pathological and functional markers of neurodegeneration using a range of advanced MRI and PET methods, in the same subjects, cross sectionally and over time. To the best of our knowledge this combination of markers has yet to be reported.

View Presentation Video

Chih-Chien Tsai¹, Chun-Chao Huang², Pei-Hao Chen³, Hsin-Fan Chiang², Cheng‑Chih Hsieh², Ting-Lin Chen², Wei-Hsin Liao², Yao-Liang Chen⁴, and Jiun-Jie Wang^5
1Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan, ²Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan, ³Department of Neurology, MacKay Memorial Hospital, Taipei, Taiwan, ⁴Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan, ⁵Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

Keywords: Parkinson's Disease, Diffusion Tensor Imaging

Parkinson’s disease (PD) is a progressive neurodegenerative disease with motor dysfunction and cognitive impairments frequently. Previous studies indicated that diffusion MRI could detect white matter alteration in the brain, which can be correlated with disease severity. We use diffusion MRI to investigate the relationship between cognitive functions and these plasma biomarkers. Our study showed that the involved regions might play important roles in early cognitive decline as related to the pathological deposition of the respective plasma biomarkers. This observation might help to elucidate the early pathological change of the brain contributing to different cognitive declines in PD patients.

View Presentation Video

Jun Lu^1,2, Su Yan¹, Yuanhao Li¹, and Wenzhen Zhu^1
1Department of radiology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ²Department of CT & MRI, The First Affiliated Hospital, College of Medicine, Shihezi University, Shihezi, China

Keywords: Parkinson's Disease, Microstructure

As the structural basis of functional networks, the topological organization of morphological brain networks in the surface space has not been explored in more advanced stages of PD. We constructed individual morphological networks by estimating interregional similarity distribution in different cortical surface-based indices from structural MRI of PD patients and healthy controls (HCs). Graph theoretical analysis was performed to detect PD-related alterations. Compared with HCs, PD patients showed lower local efficiency and clustering coefficient for gyrification index-based morphological brain networks. These findings extend our understanding of the neurobiology of network dysfunction in middle- to late-stage PD.

View Presentation Video

Xiao Feng Shi¹, You Min Zhang¹, Na Ying He¹, Zeng Hui Cheng¹, Fu Hua Yan¹, and Ewart Mark Haacke^2
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China, ²SpinTech MRI, Bingham Farms, MI, United States

Keywords: Parkinson's Disease, Parkinson's Disease, swallow tail sign,substantia nigra,MRI

The incidence of Parkinson's disease（PD） is high and the clinical symptoms are diverse making the diagnosis of PD difficult. Loss of the “swallow tail sign” (STS) as an imaging biomarker in the diagnosis of PD. It is of great value in the early diagnosis of PD and the improvement of prognosis. In this study, QSM and tSWI, were used to evaluate the STS of substantia nigra in PD patients. The results show tSWI can better display STS than QSM and its accuracy is higher.

View Presentation Video

Yarui Wei¹, Chunyan Zhang², Yuanyuan Peng², Chen Chen ², Shaoqiang Han², Weijian Wang², Yong Zhang², Hong Lu³, and Jingliang Cheng^2
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, ²Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, ³Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Keywords: Parkinson's Disease, fMRI (resting state)

It’s unclear whether abnormal neural information stored and different temporal feature at different stages in Parkinson’s disease (PD). Here, we estimated the intrinsic timescales using the magnitude of the autocorrelation of intrinsic neural signals by resting state functional magnetic resonance imaging data in 74 PD patients, including 44 patients in the early stage and 30 patients in the late stage. Our findings suggest that PD patients exhibit abnormal intrinsic timescales in visual, sensorimotor, and cognitive systems, and at different stages, distinct patterns of intrinsic timescales in cerebral cortex, which might provide new insights for the neural substrate of PD.

View Presentation Video

Karthik R Sreenivasan¹, Xiaowei Zhuang¹, Jessica Caldwell¹, Aaron Ritter², Dietmar Cordes¹, Zoltan Mari¹, Natividad Stover³, Talene Yacoubian³, and Virendra Mishra^1,4
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, ²Memory & Cognitive Disorders Program Hoag, Pickup Family Neurosciences Institute, Newport Beach, CA, United States, ³Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, United States, ⁴Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL, United States

Keywords: Parkinson's Disease, Brain Connectivity

Mild cognitive impairment in PD patients (PD-MCI) is shown to be a risk factor for the development of dementia over time. However, the distinct factors that contribute to conversion from MCI to dementia are not completely understood. While earlier studies have identified altered functional connectivity (FC) it is still not clear whether PD medication affects brain FC. In the current study, we aim to quantify the impact of medication effect on FC in PD-MCI using resting-state functional MRI. Our findings suggest that altered FC was observed between the groups and with respect to the medication state in the PD-MCI group.

View Presentation Video

Qihao Zhang¹, Dominick Romano¹, Kelly McCabe Gillen², Carly Skudin², Shtilbans Alexander³, Thanh Nguyen², Pascal Spincemaille², and Yi Wang^2
1Cornell University, New York, NY, United States, ²Weill Cornell Medicine, New York, NY, United States, ³Hospital for Special Surgery, New York, NY, United States

Keywords: Parkinson's Disease, PET/MR

111

Zhanhao Mo¹, Lin Liu¹, Lei Zhang¹, Runyu Tang², Yunfei Zhang², Yongming Dai², and He Sui^1
1China-Japan Union Hospital of Jilin University, Jilin, China, ²MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Keywords: Parkinson's Disease, Quantitative Susceptibility mapping

Iron concentrations were associated with many significant pathological processes in the brain. The advent of Quantitative Susceptibility Mapping (QSM) enabled the assessment of magnetic susceptibility in Parkinson’s Disease (PD) brains. Our study revealed that magnetic susceptibilities of regional brain structures varied in mild and moderate PD and we investigated the possibility of early detection of PD using QSM.

Jin Wang¹, Qiu Bi², Linyu Chen¹, Shan Li³, Hongjiang Zhang², Changxin Cheng¹, Yunzhu Wu⁴, and Bo Wang^2
1Medical school, Kunming University of Science and Technology, Kunming, China, ²Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China, ³Department of Neurology, the First People’s Hospital of Yunnan Province, Kunming, China, ⁴MR Scientific Marketing, Siemens Healthineers Ltd., Kunming, China

Keywords: Parkinson's Disease, Gray Matter

Parkinson's disease (PD) has significant clinical heterogeneity. According to its motor symptoms, PD could be divided into two principal clinical subtypes: tremor-dominant (TD) and postural instability and gait disorder (PIGD). Identifying clinical subtypes of PD could serve to better understand the underlying disease mechanisms, predict progression, and guide treatment. In this study, diffusion kurtosis imaging (DKI) combined with histogram analysis were used to evaluate the microstructural changes of the deep brain gray matter nuclei in PD patients. And it demonstrated that DKI histogram analysis was useful to diagnose and discriminate different motor subtypes of PD.

Amei Chen¹, Junxiang Huang², Xiaofei Huang¹, Xiaofang Cheng³, Yongzhou Xu ⁴, and Xinhua Wei^1
1Guangzhou First People's Hospital, Guangzhou, China, ²Guangzhou Women and Children's Medical Center, Guangzhou, China, ³The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, ⁴Philips Healthcare, Guangzhou, China

Keywords: Parkinson's Disease, White Matter, White matter connectivity, rapid movement sleep behavior disorder

To investigate the changes of white matter structural network connectivity in PD patients with probably rapid movement sleep behavior disorder (PD-pRBD). This study included PD-pRBD (n = 74) and PD with no probably RBD (PD-npRBD)(n = 97) and healthy contral (HC, n=73). The results showed that compared with the PD-npRBD group, the nodal efficiency (Ne) of the right insula and left middle frontal gyrus increased, while the Ne of the left temporal pole decreased. We conclude that changes in the right insula, left temporal pole and left middle frontal gyrus Ne may play key roles in the pathogenesis of PD-RBD.

Man Wang^1,2, Bingbing Gao¹, Yanwei Miao¹, and Dandan Zheng^3
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, ³Clinical and Technical Support, Philips Healthcare, Beijing, Beijing, China

Keywords: Parkinson's Disease, Relaxometry, R2*,deep brain nuclei

R2* is highly sensitive not only to tissue iron level, but also to the microscopic iron distribution. In this study, we first characterize the distribution of R2* within the deep brain nuclei in Parkinson's disease  patients and health controls, especially the lateral difference. Secondly, we also evaluate the clinical usefulness of regional R2* for the differential diagnosis between PD  and HC group.  The results showed that there was no lateral difference in R2* values in the HC and PD groups. The R2* value of the right thalamus in the HC group was statistically higher than that in the PD group.

View Presentation Video

Jinghan Zhao¹, Yinghua Guo², and Yanwei Miao^1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Clinical&Technical Support, Philips Healthcare, Beijing, China

Keywords: Parkinson's Disease, Parkinson's Disease

The objective of this study was to explore whether the alterations of T1 and proton density values could reflect the occurrence of Parkinson's disease (PD) and contribute to the prevention and diagnosis of PD. The T1 values of the left caudate nucleus (CN) and the proton density values of all nuclei were significantly reduced in the PD group compared with the control group. The T1 values of the left globus pallidus (GP) and right thalamus (THU) in the PD group were significantly reduced compared with those of the contralateral side.

View Presentation Video

Bingbing Gao¹, Liangjie Lin², and Yanwei Miao^1
1the First Affiliated hospital of Dalian Medical university, Dalian, China, ²Clinical and Technical Support, Philips Healthcare, Beijing, China

Keywords: Parkinson's Disease, Dementia

The incidence of Parkinson's disease patients combined with dementia increased significantly with the extension of disease course, and increased from 26.3% to 83% at twenty years after diagnosis. This study aims to use diffusion tensor imaging to detect the pattern of white matter damage in long-term PD patients with cognitive impairment, and results indicated that PD patients have diffuse FA decrease of white matter that is correlated with cognitive status.

Yanchao Dong¹, Yansheng Chen², and Lanxiang Liu^2
1Qinhuangdao Municipal No.1 Hospital, Qinhuandao, China, ²Qinhuangdao Municipal No.1 Hospital, Qinhuangdao, China

Keywords: Parkinson's Disease, Parkinson's Disease, DKI

Both FA and MK in DKI have value in the diagnosis of PD. We here investigated the sensitivity and specificity of FA and MK in the early diagnosis of PD rat model.  PD and control group, 20 in each group. The FA, MK and FA+MK in PD group were statistically significantly different from that of the control group (P < 0.01). The Youden’s index of FA+MK value was higher than the two alone. The optimal cut-off FA+MK value was 1.404. The diagnostic efficiency of the FA+MK values were better relative to that two alone in diagnosing PD. 

View Presentation Video

Jiajun Cao¹, Mingrui Qu¹, Bingbing Gao¹, Yuhan Jiang¹, Yangyingqiu Liu¹, Lizhi Xie², and Yanwei Miao^1
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²GE Healthcare, Beijing, China

Keywords: Parkinson's Disease, Parkinson's Disease, Voxel-Based Morphometry、Parkinson's disease with depression

Depressive symptoms are common in Parkinson’s disease (PD), but the pathophysiology and neural basis underlying depression in PD is complex. To shed more light on the abnormal regions and distribution characteristics of gray matter in PD patients with depression (DPD), we conducted a Voxel-Based Morphometry (VBM) study. Compared with PD with non-depression (NDPD) patients, the gray matter volume of DPD patients decreased abnormally in the right superior temporal gyrus, right inferior temporal gyrus, left orbital superior frontal gyrus and left dorsolateral superior frontal gyrus. We speculate that changes in the  brain regions are essential in the pathophysiology of DPD.