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Huang Y, Chen Q, Wang Z, Wang Y, Lian A, Zhou Q, Zhao G, Xia K, Tang B, Li B, Li J. Risk factors associated with age at onset of Parkinson's disease in the UK Biobank. NPJ Parkinsons Dis 2024; 10:3. [PMID: 38167894 PMCID: PMC10762149 DOI: 10.1038/s41531-023-00623-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Abstract
Substantial evidence shown that the age at onset (AAO) of Parkinson's disease (PD) is a major determinant of clinical heterogeneity. However, the mechanisms underlying heterogeneity in the AAO remain unclear. To investigate the risk factors with the AAO of PD, a total of 3156 patients with PD from the UK Biobank were included in this study. We evaluated the effects of polygenic risk scores (PRS), nongenetic risk factors, and their interaction on the AAO using Mann-Whitney U tests and regression analyses. We further identified the genes interacting with nongenetic risk factors for the AAO using genome-wide environment interaction studies. We newly found physical activity (P < 0.0001) was positively associated with AAO and excessive daytime sleepiness (P < 0.0001) was negatively associated with AAO, and reproduced the positive associations of smoking and non-steroidal anti-inflammatory drug intake and the negative association of family history with AAO. In the dose-dependent analyses, smoking duration (P = 1.95 × 10-6), coffee consumption (P = 0.0150), and tea consumption (P = 0.0008) were positively associated with AAO. Individuals with higher PRS had younger AAO (P = 3.91 × 10-5). In addition, we observed a significant interaction between the PRS and smoking for AAO (P = 0.0316). Specifically, several genes, including ANGPT1 (P = 7.17 × 10-7) and PLEKHA6 (P = 4.87 × 10-6), may influence the positive relationship between smoking and AAO. Our data suggests that genetic and nongenetic risk factors are associated with the AAO of PD and that there is an interaction between the two.
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Affiliation(s)
- Yuanfeng Huang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
| | - Qian Chen
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
- Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Zheng Wang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Yijing Wang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
| | - Aojie Lian
- National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Qiao Zhou
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
| | - Guihu Zhao
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Kun Xia
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, Hunan, China
| | - Beisha Tang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, Hunan, China
| | - Bin Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China.
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
| | - Jinchen Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha 410008, Hunan, China.
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, Hunan, China.
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Liu FT, Lu JY, Sun YM, Li L, Yang YJ, Zhao J, Ge JJ, Wu P, Jiang JH, Wu JJ, Zuo CT, Wang J. Dopaminergic Dysfunction and Glucose Metabolism Characteristics in Parkin-Induced Early-Onset Parkinson's Disease Compared to Genetically Undetermined Early-Onset Parkinson's Disease. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:22-33. [PMID: 36939793 PMCID: PMC9883374 DOI: 10.1007/s43657-022-00077-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 01/28/2023]
Abstract
While early-onset Parkinson's disease (EOPD) caused by mutations in the parkin gene (PRKN) tends to have a relatively benign course compared to genetically undetermined (GU)-EOPD, the exact underlying mechanisms remain elusive. We aimed to search for the differences between PRKN-EOPD and GU-EOPD by dopamine transporter (DAT) and glucose metabolism positron-emission-tomography (PET) imaging. Twelve patients with PRKN-EOPD and 16 with GU-EOPD who accepted both 11C-2b-carbomethoxy-3b-(4-trimethylstannylphenyl) tropane (11C-CFT) and 18F-fluorodeoxyglucose PET were enrolled. The 11C-CFT uptake was analyzed on both regional and voxel levels, whereas glucose metabolism was assessed in a voxel-wise fashion. Correlations between DAT and glucose metabolism imaging, DAT imaging and clinical severity, as well as glucose metabolism imaging and clinical severity were explored. Both clinical symptoms and DAT-binding patterns in the posterior putamen were highly symmetrical in patients with PRKN-EOPD, and dopaminergic dysfunction in the ipsilateral putamen was severer in patients with PRKN-EOPD than GU-EOPD. Meanwhile, the DAT binding was associated with the severity of motor dysfunction in patients with GU-EOPD only. Patients with PRKN-EOPD showed increased glucose metabolism in the contralateral medial frontal gyrus (supplementary motor area (SMA)), contralateral substantia nigra, contralateral thalamus, and contralateral cerebellum. Notably, glucose metabolic activity in the contralateral medial frontal gyrus was inversely associated with regional DAT binding in the bilateral putamen. Patients with PRKN-EOPD showed enhanced metabolic connectivity within the bilateral putamen, ipsilateral paracentral and precentral lobules, and the ipsilateral SMA. Collectively, compared to GU-EOPD, PRKN-EOPD is characterized by symmetrical, more severe dopaminergic dysfunction and relative increased glucose metabolism. Meanwhile, SMA with elevated glucose metabolism and enhanced connectivity may act as compensatory mechanisms in PRKN-EOPD. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-022-00077-8.
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Affiliation(s)
- Feng-Tao Liu
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
| | - Jia-Ying Lu
- Department of Nuclear Medicine & PET Center, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China
| | - Yi-Min Sun
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
| | - Ling Li
- Department of Nuclear Medicine & PET Center, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China
| | - Yu-Jie Yang
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
| | - Jue Zhao
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
| | - Jing-Jie Ge
- Department of Nuclear Medicine & PET Center, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China
| | - Ping Wu
- Department of Nuclear Medicine & PET Center, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China
| | - Jie-Hui Jiang
- Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, 200444 China
| | - Jian-Jun Wu
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
| | - Chuan-Tao Zuo
- Department of Nuclear Medicine & PET Center, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China
- Human Phenome Institute, Fudan University, Shanghai, 200433 China
| | - Jian Wang
- Department of Neurology, National Clinical Research Center for Aging and Medicine & National Center for Neurological Disorders, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040 China
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Zhou F, Tan C, Song C, Wang M, Yuan J, Liu Y, Cai S, Liu Q, Shen Q, Tang Y, Li X, Liao H. Abnormal intra- and inter-network functional connectivity of brain networks in early-onset Parkinson's disease and late-onset Parkinson's disease. Front Aging Neurosci 2023; 15:1132723. [PMID: 37032830 PMCID: PMC10080130 DOI: 10.3389/fnagi.2023.1132723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Objective The purpose of this study is to look into the altered functional connectivity of brain networks in Early-Onset Parkinson's Disease (EOPD) and Late-Onset Parkinson's Disease (LOPD), as well as their relationship to clinical symptoms. Methods A total of 50 patients with Parkinson' disease (28 EOPD and 22 LOPD) and 49 healthy controls (25 Young Controls and 24 Old Controls) were admitted to our study. Employing independent component analysis, we constructed the brain networks of EOPD and Young Controls, LOPD and Old Controls, respectively, and obtained the functional connectivity alterations in brain networks. Results Cerebellar network (CN), Sensorimotor Network (SMN), Executive Control Network (ECN), and Default Mode Network (DMN) were selected as networks of interest. Compared with their corresponding health controls, EOPD showed increased functional connectivity within the SMN and ECN and no abnormalities of inter-network functional connectivity were found, LOPD demonstrated increased functional connectivity within the ECN while decreased functional connectivity within the CN. Furthermore, in LOPD, functional connectivity between the SMN and DMN was increased. The functional connectivity of the post-central gyrus within the SMN in EOPD was inversely correlated with the Unified Parkinson's Disease Rating Scale Part III scores. Age, age of onset, and MMSE scores are significantly different between EOPD and LOPD (p < 0.05). Conclusion There is abnormal functional connectivity of networks in EOPD and LOPD, which could be the manifestation of the associated pathological damage or compensation.
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Zhang H, Wang L, Gan C, Cao X, Ji M, Sun H, Yuan Y, Zhang K. Altered functional connectivity of cerebellar dentate nucleus in peak-dose dyskinesia in Parkinson’s disease. Front Aging Neurosci 2022; 14:943179. [PMID: 36034152 PMCID: PMC9400811 DOI: 10.3389/fnagi.2022.943179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
The cerebellum is associated with the emergence of levodopa-induced dyskinesia (LID) in Parkinson’s disease (PD), yet the neural mechanism remains obscure. Our aim was to ascertain the role of functional connectivity (FC) patterns of the cerebellar dentate nucleus (DN) in the pathogenesis of peak-dose dyskinesia in PD. Twenty-three peak-dose dyskinetic PD patients, 27 non-dyskinetic PD patients, and 36 healthy controls (HCs) were enrolled and underwent T1-weighted and resting-state functional magnetic resonance imaging (rs-fMRI) scans after dopaminergic medication intake. We selected left and right DN as the regions of interest and then employed voxel-wise FC analysis and voxel-based morphometry analysis (VBM). The correlations between the altered FC pattern and clinical scores were also examined. Finally, receiver operating characteristic (ROC) curve analysis was performed to assess the potential of DN FC measures as a feature of peak-dose dyskinesia in PD. Dyskinetic PD patients showed excessively increased FC between the left DN and right putamen compared with the non-dyskinetic. When compared with controls, dyskinetic PD patients mainly exhibited increased FC between left DN and bilateral putamen, left paracentral lobule, right postcentral gyrus, and supplementary motor area. Additionally, non-dyskinetic PD patients displayed increased FC between left DN and left precentral gyrus and right paracentral lobule compared with controls. Meanwhile, increased FC between DN (left/right) and ipsilateral cerebellum lobule VIII was observed in both PD subgroups. However, no corresponding alteration in gray matter volume (GMV) was found. Further, a positive correlation between the z-FC values of left DN-right putamen and the Unified Dyskinesia Rating Scale (UDysRS) was confirmed in dyskinetic PD patients. Notably, ROC curve analyses revealed that the z-FC values of left DN-right putamen could be a potential neuroimaging feature identifying dyskinetic PD patients. Our findings demonstrated that the excessively strengthened connectivity of DN-putamen might contribute to the pathophysiological mechanisms of peak-dose dyskinesia in PD.
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Tang S, Wang Y, Liu Y, Chau SW, Chan JW, Chu WC, Abrigo JM, Mok VC, Wing YK. Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity. EBioMedicine 2022; 77:103915. [PMID: 35259574 PMCID: PMC8904227 DOI: 10.1016/j.ebiom.2022.103915] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 01/22/2023] Open
Abstract
Background Although dysfunction of large-scale brain networks has been frequently demonstrated in patients with α-Synucleinopathy (α-Syn, i.e., Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy), a consistent pattern of dysfunction remains unclear. We aim to investigate network dysfunction in patients with α-Syn through a meta-analysis. Methods Whole-brain seed-based resting-state functional connectivity studies (published before September 1st, 2020 in English) comparing α-Syn patients with healthy controls (HC) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE). Seeds from each study were categorized into networks by their location within a priori functional networks. Seed-based effect size mapping with Permutation of Subject Images analysis of between-group effects identified the network systems in which α-Syn was associated with hyperconnectivity (increased connectivity in α-Syn vs. HC) or hypoconnectivity (decreased connectivity in α-Syn vs. HC) within and between each seed-network. This study was registered on PROSPERO (CRD42020210133). Findings In total, 136 seed-based voxel-wise resting-state functional connectivity datasets from 72 publications (3093 α-Syn patients and 3331 HC) were included in the meta-analysis. We found that α-Syn patients demonstrated imbalanced connectivity among subcortical network, cerebellum, and frontal parietal networks that involved in motor functioning and executive control. The patient group was associated with hypoconnectivity in default mode network and ventral attention network that involved in cognition and attention. Additionally, the patient group exhibited hyperconnectivity between neural systems involved in top-down emotion regulation and hypoconnectivity between networks involved in bottom-up emotion processing. Interpretation These findings supported neurocognitive models in which network dysfunction is tightly linked to motor, cognitive and psychiatric symptoms observed in α-Syn patients.
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Affiliation(s)
- Shi Tang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yanlin Wang
- Advanced Computing and Digital Engineering Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jill M Abrigo
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Xiao Y, Ou R, Yang T, Liu K, Wei Q, Hou Y, Zhang L, Lin J, Shang H. Different Associated Factors of Subjective Cognitive Complaints in Patients With Early- and Late-Onset Parkinson's Disease. Front Neurol 2021; 12:749471. [PMID: 34887827 PMCID: PMC8650060 DOI: 10.3389/fneur.2021.749471] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/25/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Subjective cognitive complaints (SCCs), which are associated with a higher risk of cognitive decline, are widespread in the patients with Parkinson's disease (PD). The previous studies have reported inconsistent factors related to SCCs in the patients with late-onset PD (LOPD), and there is limited information on SCCs in the patients with early-onset PD (EOPD). Objective: We aimed to investigate the factors associated with SCCs in the drug-naïve patients with EOPD and LOPD without cognitive impairment. Methods: This cross-sectional study included 332 drug-naïve patients with PD, among whom 134 were EOPD and 198 were LOPD. Motor and non-motor symptoms, such as global objective cognitive status, depression, anxiety, apathy, fatigue, sleep, rapid eye movement sleep behavior disorder, orthostatic hypotension, and excessive daytime sleepiness, were assessed. Results: Twenty-five (18.66%) patients with EOPD and 49 (24.74%) patients with LOPD reported SCCs. A multivariate binary logistic regression analysis revealed that older age at onset [odds ratio (OR) = 1.24, P = 0.002], higher apathy score (OR = 1.13, P = 0.003), and lower scores in the visuospatial/executive abilities (OR = 0.25, P < 0.001) and memory (OR = 0.50, P = 0.024) domains of the Montreal Cognitive Assessment were associated with a higher risk of SCCs in the EOPD group. Higher apathy (OR = 1.06, P = 0.011) and anxiety (OR = 1.14, P < 0.001) scores were associated with SCCs in the LOPD group. Conclusion: Subjective cognitive complaints are only associated with mood disorders in patients with LOPD. In addition, SCCs may reflect subthreshold cognitive impairment in the patients with EOPD.
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Affiliation(s)
- Yi Xiao
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Tianmi Yang
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Kuncheng Liu
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Qianqian Wei
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Yanbing Hou
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Lingyu Zhang
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Junyu Lin
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
| | - Huifang Shang
- Department of Neurology, Rare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China
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Su W, Li K, Li CM, Ma XX, Zhao H, Chen M, Li SH, Wang R, Lou BH, Chen HB, Yan CZ. Motor Symptom Lateralization Influences Cortico-Striatal Functional Connectivity in Parkinson's Disease. Front Neurol 2021; 12:619631. [PMID: 34054684 PMCID: PMC8160303 DOI: 10.3389/fneur.2021.619631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 04/08/2021] [Indexed: 12/05/2022] Open
Abstract
Objective: The striatum is unevenly impaired bilaterally in Parkinson's disease (PD). Because the striatum plays a key role in cortico-striatal circuits, we assume that lateralization affects cortico-striatal functional connectivity in PD. The present study sought to evaluate the effect of lateralization on various cortico-striatal circuits through resting-state functional magnetic resonance imaging (fMRI). Methods: Thirty left-onset Parkinson's disease (LPD) patients, 27 right-onset Parkinson's disease (RPD) patients, and 32 normal controls with satisfactory data were recruited. Their demographic, clinical, and neuropsychological information was collected. Resting-state fMRI was performed, and functional connectivity changes of seven subdivisions of the striatum were explored in the two PD groups. In addition, the associations between altered functional connectivity and various clinical and neuropsychological characteristics were analyzed by Pearson's or Spearman's correlation. Results: Directly comparing the LPD and RPD patients demonstrated that the LPD patients had lower FC between the left dorsal rostral putamen and the left orbitofrontal cortex than the RPD patients. In addition, the LPD patients showed aberrant functional connectivity involving several striatal subdivisions in the right hemisphere. The right dorsal caudate, ventral rostral putamen, and superior ventral striatum had decreased functional connectivity with the cerebellum and parietal and occipital lobes relative to the normal control group. The comparison between RPD patients and the controls did not obtain significant difference in functional connectivity. The functional connectivity between the left dorsal rostral putamen and the left orbitofrontal cortex was associated with contralateral motor symptom severity in PD patients. Conclusions: Our findings provide new insights into the distinct characteristics of cortico-striatal circuits in LPD and RPD patients. Lateralization of motor symptoms is associated with lateralized striatal functional connectivity.
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Affiliation(s)
- Wen Su
- Department of Neurology, Research Institute of Neuromuscular and Neurodegenerative Disease, Qilu Hospital of Shandong University, Jinan, China
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Kai Li
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chun-Mei Li
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Radiology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Xin-Xin Ma
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hong Zhao
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Min Chen
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Radiology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Shu-Hua Li
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Rui Wang
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Radiology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Bao-Hui Lou
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Radiology, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Hai-Bo Chen
- Department of Neurology, National Center of Gerontology, Beijing Hospital, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chuan-Zhu Yan
- Department of Neurology, Research Institute of Neuromuscular and Neurodegenerative Disease, Qilu Hospital of Shandong University, Jinan, China
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Liu M, Luo YJ, Gu HY, Wang YM, Liu MH, Li K, Li J, Zhuang S, Shen Y, Jin H, Chen J, Mao CJ, Liu CF. Sex and onset-age-related features of excessive daytime sleepiness and night-time sleep in patients with Parkinson's disease. BMC Neurol 2021; 21:165. [PMID: 33874914 PMCID: PMC8054359 DOI: 10.1186/s12883-021-02192-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/07/2021] [Indexed: 12/20/2022] Open
Abstract
Background The clinical characteristics of Parkinson’s disease (PD) differ between men and women, and late- and early-onset patients, including motor symptoms and some nonmotor symptoms, such as cognition, anxiety, and depression. Objective To explore the features of excessive daytime sleepiness (EDS) and night-time sleep quality in PD patients of different sexes and age at onset (AAO). Methods Demographic data and clinical characteristics of 586 PD patients were collected. Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI) were used to investigate the daytime drowsiness and nocturnal sleep. Multivariate logistic regression analysis was used to explore the risk factors of EDS and poor night-time sleep quality. Results Sleep disorders were common in PD patients. EDS was more prominent in men than in women. There was no significant difference in ESS scores between late-onset PD (LOPD) and early-onset PD. LOPD patients had a higher probability of poor night-time sleep quality. Male sex, disease duration, and depression were risk factors for EDS. In all patients of both sexes and all AAO, depression was a risk factor for poor night-time sleep. Conclusion More attention should be paid to sleep disorders of PD patients, especially male LOPD patients. Depression is a common risk factor for EDS and poor sleep quality in PD patients.
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Affiliation(s)
- Ming Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Ya-Jun Luo
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Han-Ying Gu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Yi-Ming Wang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Man-Hua Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Kai Li
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Jiao Li
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Sheng Zhuang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Yun Shen
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Hong Jin
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Jing Chen
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China
| | - Cheng-Jie Mao
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China.
| | - Chun-Feng Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Diseases, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu Province, China.,Department of Neurology, Suqian First Hospital, Suqian, China
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9
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Social Cognition in Patients with Early-Onset Parkinson's Disease. PARKINSONS DISEASE 2021; 2021:8852087. [PMID: 33505651 PMCID: PMC7810525 DOI: 10.1155/2021/8852087] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/23/2020] [Accepted: 12/30/2020] [Indexed: 12/24/2022]
Abstract
Social cognition (SC) deficits have been linked to Parkinson's disease (PD) but have been less well researched than general cognitive processes, especially in early-onset PD (EOPD), despite this population often having greater social and family demands. Most studies focus on recognition of facial emotion, theory of mind (ToM), and decision-making domains, with limited research reporting on social reasoning. The main objective of this work was to compare SC ability across four domains: emotional processing, social reasoning, ToM, and decision-making between patients with EOPD and healthy controls. Twenty-five nondemented patients with EOPD and 25 controls matched for sex, age, and educational level were enrolled. A battery that included six SC tests was administered to all study participants; a decision-making scale was completed by participants' partners. Statistically significant differences were found between patients with EOPD and controls in all subtests across the four SC domains studied. The EOPD group demonstrated worse performance on all tasks, with large effect sizes. Differences remained significant after adjusting for Montreal Cognitive Assessment (MoCA) test scores for all SC subtests except the decision-making scale and the Iowa gambling task. No significant correlations between SC and other clinical PD variables were found. Our study shows that patients with EOPD perform significantly below controls in multiple SC domains affecting recognition of facial emotion, social reasoning, ToM, and decision-making. Only decision-making seems to be mediated by overall cognitive ability. The confounding or contributing effect of other clinical PD variables should be studied further.
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10
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Wang T, Liao H, Zi Y, Wang M, Mao Z, Xiang Y, Zhang L, Li J, Shen Q, Cai S, Tan C. Distinct Changes in Global Brain Synchronization in Early-Onset vs. Late-Onset Parkinson Disease. Front Aging Neurosci 2020; 12:604995. [PMID: 33381021 PMCID: PMC7767969 DOI: 10.3389/fnagi.2020.604995] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 11/24/2020] [Indexed: 11/21/2022] Open
Abstract
Early- and late-onset Parkinson's disease (EOPD and LOPD, respectively) have different risk factors, clinical features, and disease course; however, the functional outcome of these differences have not been well characterized. This study investigated differences in global brain synchronization changes and their clinical significance in EOPD and LOPD patients. Patients with idiopathic PD including 25 EOPD and 24 LOPD patients, and age- and sex-matched healthy control (HC) subjects including 27 younger and 26 older controls (YCs and OCs, respectively) were enrolled. Voxel-based degree centrality (DC) was calculated as a measure of global synchronization and compared between PD patients and HC groups matched in terms of disease onset and severity. DC was decreased in bilateral Rolandic operculum and left insula and increased in the left superior frontal gyrus (SFG) and precuneus of EOPD patients compared to YCs. DC was decreased in the right putamen, mid-cingulate cortex, bilateral Rolandic operculum, and left insula and increased in the right cerebellum-crus1 of LOPD patients compared to OCs. Correlation analyses showed that DC in the right cerebellum-crus1 was inversely associated with the Hamilton Depression Scale (HDS) score in LOPD patients. Thus, EOPD and LOPD patients show distinct alterations in global synchronization relative to HCs. Furthermore, our results suggest that the left SFG and right cerebellum-crus1 play important roles in the compensation for corticostriatal-thalamocortical loop injury in EOPD and LOPD patients, whereas the cerebellum is a key hub in the neural mechanisms underlying LOPD with depression. These findings provide new insight into the clinical heterogeneity of the two PD subtypes.
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Affiliation(s)
- Tianyu Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuheng Zi
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Min Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhenni Mao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yijuan Xiang
- Department of Radiology, Hunan Province Maternal and Child Health Care Hospital, Changsha, China
| | - Lin Zhang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Junli Li
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
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11
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Horn A, Wenzel G, Irmen F, Huebl J, Li N, Neumann WJ, Krause P, Bohner G, Scheel M, Kühn AA. Deep brain stimulation induced normalization of the human functional connectome in Parkinson's disease. Brain 2020; 142:3129-3143. [PMID: 31412106 DOI: 10.1093/brain/awz239] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 05/12/2019] [Accepted: 06/09/2019] [Indexed: 12/20/2022] Open
Abstract
Neuroimaging has seen a paradigm shift away from a formal description of local activity patterns towards studying distributed brain networks. The recently defined framework of the 'human connectome' enables global analysis of parts of the brain and their interconnections. Deep brain stimulation (DBS) is an invasive therapy for patients with severe movement disorders aiming to retune abnormal brain network activity by local high frequency stimulation of the basal ganglia. Beyond clinical utility, DBS represents a powerful research platform to study functional connectomics and the modulation of distributed brain networks in the human brain. We acquired resting-state functional MRI in 20 patients with Parkinson's disease with subthalamic DBS switched on and off. An age-matched control cohort of 15 subjects was acquired from an open data repository. DBS lead placement in the subthalamic nucleus was localized using a state-of-the art pipeline that involved brain shift correction, multispectral image registration and use of a precise subcortical atlas. Based on a realistic 3D model of the electrode and surrounding anatomy, the amount of local impact of DBS was estimated using a finite element method approach. On a global level, average connectivity increases and decreases throughout the brain were estimated by contrasting on and off DBS scans on a voxel-wise graph comprising eight thousand nodes. Local impact of DBS on the motor subthalamic nucleus explained half the variance in global connectivity increases within the motor network (R = 0.711, P < 0.001). Moreover, local impact of DBS on the motor subthalamic nucleus could explain the degree to how much voxel-wise average brain connectivity normalized towards healthy controls (R = 0.713, P < 0.001). Finally, a network-based statistics analysis revealed that DBS attenuated specific couplings known to be pathological in Parkinson's disease. Namely, coupling between motor thalamus and motor cortex was increased while striatal coupling with cerebellum, external pallidum and subthalamic nucleus was decreased by DBS. Our results show that resting state functional MRI may be acquired in DBS on and off conditions on clinical MRI hardware and that data are useful to gain additional insight into how DBS modulates the functional connectome of the human brain. We demonstrate that effective DBS increases overall connectivity in the motor network, normalizes the network profile towards healthy controls and specifically strengthens thalamo-cortical connectivity while reducing striatal control over basal ganglia and cerebellar structures.
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Affiliation(s)
- Andreas Horn
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Gregor Wenzel
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Friederike Irmen
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany.,Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Julius Huebl
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Ningfei Li
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Wolf-Julian Neumann
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany.,Department of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany
| | - Patricia Krause
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Georg Bohner
- Department of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany
| | - Michael Scheel
- Department of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany.,Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.,Exzellenzcluster NeuroCure, Charité - Universitätsmedizin Berlin, Berlin, Germany
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12
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Sanjari Moghaddam H, Dolatshahi M, Mohebi F, Aarabi MH. Structural white matter alterations as compensatory mechanisms in Parkinson's disease: A systematic review of diffusion tensor imaging studies. J Neurosci Res 2020; 98:1398-1416. [DOI: 10.1002/jnr.24617] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/10/2020] [Accepted: 02/29/2020] [Indexed: 01/04/2023]
Affiliation(s)
| | - Mahsa Dolatshahi
- Neuroradiology Division School of Medicine Tehran University of Medical Sciences Tehran Iran
| | - Farnam Mohebi
- Non‐Communicable Diseases Research Center Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran
| | - Mohammad Hadi Aarabi
- Neuroradiology Division School of Medicine Tehran University of Medical Sciences Tehran Iran
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13
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Yue Y, Jiang Y, Shen T, Pu J, Lai HY, Zhang B. ALFF and ReHo Mapping Reveals Different Functional Patterns in Early- and Late-Onset Parkinson's Disease. Front Neurosci 2020; 14:141. [PMID: 32158380 PMCID: PMC7052327 DOI: 10.3389/fnins.2020.00141] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 02/04/2020] [Indexed: 11/13/2022] Open
Abstract
Heterogeneity between late-onset Parkinson's disease (LOPD) and early-onset Parkinson's disease (EOPD) is mainly reflected in the following aspects including genetics, disease progression, drug response, clinical manifestation, and neuropathological change. Although many studies have investigated these differences in relation to clinical significance, the functional processing circuits and underlying neural mechanisms have not been entirely understood. In this study, regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) maps were used to explore different spontaneous brain activity patterns in EOPD and LOPD patients. Abnormal synchronizations were found in the motor and emotional circuits of the EOPD group, as well as in the motor, emotional, and visual circuits of the LOPD group. EOPD patients showed functional activity change in the visual, emotional and motor circuits, and LOPD patients only showed increased functional activity in the emotional circuits. In summary, the desynchronization process in the LOPD group was relatively strengthened, and the brain areas with changed functional activity in the EOPD group were relatively widespread. The results might point out different impairments in the synchronization and functional activity for EOPD and LOPD patients.
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Affiliation(s)
- Yumei Yue
- Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.,Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Yasi Jiang
- Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.,Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Ting Shen
- Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.,Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Jiali Pu
- Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Hsin-Yi Lai
- Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.,Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
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14
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Brain activity during lower limb movements in Parkinson’s disease patients with and without freezing of gait. J Neurol 2020; 267:1116-1126. [DOI: 10.1007/s00415-019-09687-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 01/26/2023]
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15
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Yang X, Lu L, Li Q, Huang X, Gong Q, Liu L. Altered spontaneous brain activity in patients with strabismic amblyopia: A resting-state fMRI study using regional homogeneity analysis. Exp Ther Med 2019; 18:3877-3884. [PMID: 31616514 PMCID: PMC6781806 DOI: 10.3892/etm.2019.8038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 08/21/2019] [Indexed: 02/05/2023] Open
Abstract
The present study aimed to compare the regional homogeneity (ReHo) of resting-state brain function between subjects with strabismic amblyopia and normal controls. A total of 12 adult patients with strabismic amblyopia and 34 age- and gender-matched normal controls were enrolled in the present study. All patients were subjected to resting-state magnetic resonance imaging using a Siemens Trio 3.0T magnetic resonance scanner. ReHo values of the whole brain were calculated and standardized. An independent-samples t-test was used to analyze the differences in ReHo values between the two groups. Patients with strabismic amblyopia exhibited reduced ReHo values in certain parts of the occipital lobe, including the lingual gyrus, cuneus and superior occipital gyrus. Increased ReHo values were observed in the precuneus and certain parts of the prefrontal cortex of patients with strabismic amblyopia, including the superior frontal gyrus and middle frontal gyrus. The ReHo index of the precuneus was negatively correlated with age. However, there was no correlation between the ReHo values and the visual acuity of patients with strabismic amblyopia. ROC curve analysis demonstrated that the greatest area under curve (AUC) value was in the medial prefrontal cortex (AUC=0.864). The results of the present study suggested that visual information processing may be impaired in visual areas V1 and V2. Furthermore, adult patients with strabismic amblyopia exhibited brain plasticity that compensated for visuomotor coordination and visuospatial imagery deficits.
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Affiliation(s)
- Xubo Yang
- Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China.,Department of Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Qian Li
- Department of Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China.,Department of Ophthalmology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, P.R. China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Longqian Liu
- Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China.,Department of Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
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16
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Xuan M, Guan X, Huang P, Shen Z, Gu Q, Yu X, Xu X, Luo W, Zhang M. Different patterns of gray matter density in early- and middle-late-onset Parkinson's disease: a voxel-based morphometry study. Brain Imaging Behav 2019; 13:172-179. [PMID: 28667375 DOI: 10.1007/s11682-017-9745-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Early-onset Parkinson's disease (EOPD) has a clinical course and characteristics distinct from middle-late-onset Parkinson's disease (M-LOPD). Although many studies have investigated these differences, the neural mechanisms of these characteristics remain unclear. This study aimed to investigate the morphological differences, and their related clinical significance, between EOPD and M-LOPD patients. We recruited two groups of patients, 28 EOPD patients and 37 M-LOPD patients, and two age- and sex-matched control groups (23 controls in each group). The voxel-based morphometry (VBM) technique was used to examine changes in gray matter (GM) density between patients and their corresponding controls. Compared with controls, EOPD patients had lower GM density in the left putamen, inferior frontal gyrus and insula, and higher GM density in the right occipital lobe and bilateral cerebellum posterior lobes. M-LOPD patients had lower GM density in the left cerebellum posterior lobe, occipital lobe and right supplementary motor area (SMA), and higher GM density in the left middle temporal gyrus. Correlation analyses showed that GM density values in the right cerebellum posterior lobe positively correlated with the Unified Parkinson's Disease Rating Scale (UPDRS) motor scores and the Hoehn-Yahr stages in EOPD patients. Our results reveal different patterns of structural changes in EOPD and M-LOPD patients. A probable compensatory effect of the cerebellum was observed and may partly explain the slower decline of motor function in EOPD patients.
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Affiliation(s)
- Min Xuan
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Xiaojun Guan
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Peiyu Huang
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Zhujing Shen
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Quanquan Gu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Xinfeng Yu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Xiaojun Xu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Wei Luo
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China
| | - Minming Zhang
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310000, China.
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17
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Apetz N, Kordys E, Simon M, Mang B, Aswendt M, Wiedermann D, Neumaier B, Drzezga A, Timmermann L, Endepols H. Effects of subthalamic deep brain stimulation on striatal metabolic connectivity in a rat hemiparkinsonian model. Dis Model Mech 2019; 12:dmm.039065. [PMID: 31064773 PMCID: PMC6550046 DOI: 10.1242/dmm.039065] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/30/2019] [Indexed: 12/16/2022] Open
Abstract
Deep brain stimulation (DBS) in the subthalamic nucleus (STN) has been successfully used for the treatment of advanced Parkinson's disease, although the underlying mechanisms are complex and not well understood. There are conflicting results about the effects of STN-DBS on neuronal activity of the striatum, and its impact on functional striatal connectivity is entirely unknown. We therefore investigated how STN-DBS changes cerebral metabolic activity in general and striatal connectivity in particular. We used ipsilesional STN stimulation in a hemiparkinsonian rat model in combination with [18F]FDOPA-PET, [18F]FDG-PET and metabolic connectivity analysis. STN-DBS reversed ipsilesional hypometabolism and contralesional hypermetabolism in hemiparkinsonian rats by increasing metabolic activity in the ipsilesional ventrolateral striatum and by decreasing it in the contralesional hippocampus and brainstem. Other STN-DBS effects were subject to the magnitude of dopaminergic lesion severity measured with [18F]FDOPA-PET, e.g. activation of the infralimbic cortex was negatively correlated to lesion severity. Connectivity analysis revealed that, in healthy control animals, left and right striatum formed a bilateral functional unit connected by shared cortical afferents, which was less pronounced in hemiparkinsonian rats. The healthy striatum was metabolically connected to the ipsilesional substantia nigra in hemiparkinsonian rats only (OFF condition). STN-DBS (ON condition) established a new functional striatal network, in which interhemispheric striatal connectivity was strengthened, and both the dopamine-depleted and the healthy striatum were functionally connected to the healthy substantia nigra. We conclude that both unilateral dopamine depletion and STN-DBS affect the whole brain and alter complex interhemispheric networks. Summary: Deep brain stimulation in the subthalamic nucleus in rats with a unilateral dopaminergic lesion established a new functional interhemispheric striatal network.
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Affiliation(s)
- Nadine Apetz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany
| | - Elena Kordys
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany
| | - Mascha Simon
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany
| | - Britta Mang
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany
| | - Markus Aswendt
- Max Planck Institute for Metabolism Research, Department of In-vivo NMR, Gleueler Str. 50, 50931 Köln, Germany
| | - Dirk Wiedermann
- Max Planck Institute for Metabolism Research, Department of In-vivo NMR, Gleueler Str. 50, 50931 Köln, Germany
| | - Bernd Neumaier
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany.,Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine, Nuclear Chemistry (INM-5), Wilhelm-Johnen-Straβe, 52428 Jülich, Germany
| | - Alexander Drzezga
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Nuclear Medicine, Kerpener Str. 62, 50937 Köln, Germany
| | - Lars Timmermann
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Kerpener Str. 62, 50937 Köln, Germany
| | - Heike Endepols
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute of Radiochemistry and Experimental Molecular Imaging, Kerpener Str. 62, 50937 Köln, Germany .,Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine, Nuclear Chemistry (INM-5), Wilhelm-Johnen-Straβe, 52428 Jülich, Germany.,University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Nuclear Medicine, Kerpener Str. 62, 50937 Köln, Germany
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18
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Thaler A. Structural and Functional MRI in Familial Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 142:261-287. [PMID: 30409255 DOI: 10.1016/bs.irn.2018.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Between 10 and 15% of Parkinson disease (PD) cases can be traced to a genetically identified causative mutation which currently number over 40. This enables the study of both "at risk" populations for future development of PD and a unique sub-group of genetically determined patient population. Structural and functional magnetic imaging has the potential of assisting diagnosis, early detection and disease progression as it is relatively cheap and easy to implement. However, the large variety of imaging options and different analytical approaches hamper the pursuit of a unified imaging biomarker. This chapter details the current imaging options and summarizes the findings among both genetically determined patients with PD and their non-manifesting first degree relatives, speculating on possible compensational mechanisms while mapping future directions in order to better utilize MRI in the research of genetic PD.
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Affiliation(s)
- Avner Thaler
- Movement Disorders Unit, Neurological Institute, Tel Aviv Medical Center, Tel Aviv, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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19
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Patterns of striatal and cerebellar functional connectivity in early-stage drug-naïve patients with Parkinson's disease subtypes. Neuroradiology 2018; 60:1323-1333. [PMID: 30244415 DOI: 10.1007/s00234-018-2101-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Accepted: 09/13/2018] [Indexed: 02/05/2023]
Abstract
PURPOSE Both the striatal-thalamo-cortical (STC) circuit and cerebello-thalamo-cortical (CTC) circuit play a critical role in Parkinson's disease (PD). METHODS Resting-state functional MRI was used to assess functional connectivity (FC) focusing on the basal ganglia (BG) and cerebellum among early-stage drug-naïve PD patients with tremor-dominant (TD) PD patients with postural instability and gait dysfunction (PIGD) and healthy controls (HCs). RESULTS Compared to HCs, both PD subgroups had higher FC between the cerebellum and paracentral lobule, sensorimotor areas; lower FC between the BG and superior frontal gyrus, and within the BG circuit; PD-TD patients showed higher FC between the BG and fusiform, paracentral lobule, cerebellum Lobule VI, and between the cerebellum and supplementary motor areas (SMA), insula; lower FC between the BG and rectus, sensorimotor areas, and within the cerebellum circuit; PD-PIGD patients showed higher FC between the cerebellum and middle frontal gyrus, precuneus; lower FC between the BG and cerebellum Crus II. Besides, compared to PD-PIGD patients and HCs, PD-TD patients had higher FC between the BG and calcarine region. In all PD patients, FC in paracentral lobule, SMA, and cerebellum Lobule VI positively correlated with tremor scores, and FC in calcarine area positively correlated with tremor scores, but negatively correlated with PIGD scores. CONCLUSION Our findings mainly suggested that the BG and cerebellum had hyper-connectivity with the cortical motor cortex, and the BG had prominent hyper-connectivity with the visual cortex in early-stage PD-TD patients. These findings may be helpful for facilitating the further understanding of potential mechanisms in the early-stage PD-TD. However, our results are preliminary, and further investigations are needed.
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Ji GJ, Hu P, Liu TT, Li Y, Chen X, Zhu C, Tian Y, Chen X, Wang K. Functional Connectivity of the Corticobasal Ganglia–Thalamocortical Network in Parkinson Disease: A Systematic Review and Meta-Analysis with Cross-Validation. Radiology 2018. [DOI: 10.1148/radiol.2018172183] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Abstract
PURPOSE OF REVIEW Despite signs of cortical and subcortical loss, patients with prodromal and early-stage neurodegenerative disease are able to perform at a level comparable to the normal population. It is presumed that the onset of compensatory processes, that is changes in brain activation within a function-specific network or in the recruitment of a region outside of the task-network, underlies this maintenance of normal performance. However, in most studies to date, increased brain activity is not correlated with indices of both disease and performance and what appears to be compensation could simply be a symptom of neurodegeneration. RECENT FINDINGS MRI studies have explored compensation in neurodegenerative disease, claiming that compensation is evident across a number of disorders, including Alzheimer's and Parkinson's disease, but generally always in early stages; after this point, compensation is generally no longer able to operate under the severe burden of disease. However, none of these studies explicitly adopted a particular model of compensation. Thus, we also discuss our recent attempts to operationalize compensation for empirical testing. SUMMARY There is clear evidence of compensatory processes in the early stages of neurodegenerative disease. However, for a more complete understanding, this requires more explicit empirical modelling.
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Affiliation(s)
- Sarah Gregory
- Huntington’s Disease Research Centre, UCL Institute of Neurology, London, UK
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Jeffrey. D Long
- Departments of Psychiatry and Biostatistics, University of Iowa, Iowa City, IA, USA
| | - Sarah J. Tabrizi
- Huntington’s Disease Research Centre, UCL Institute of Neurology, London, UK
| | - Geraint Rees
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Atkinson-Clement C, Pinto S, Eusebio A, Coulon O. Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis. Neuroimage Clin 2017; 16:98-110. [PMID: 28765809 PMCID: PMC5527156 DOI: 10.1016/j.nicl.2017.07.011] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 07/13/2017] [Accepted: 07/14/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Neuroimaging studies help us better understand the pathophysiology and symptoms of Parkinson's disease (PD). In several of these studies, diffusion tensor imaging (DTI) was used to investigate structural changes in cerebral tissue. Although data have been provided as regards to specific brain areas, a whole brain meta-analysis is still missing. METHODS We compiled 39 studies in this meta-analysis: 14 used fractional anisotropy (FA), 1 used mean diffusivity (MD), and 24 used both indicators. These studies comprised 1855 individuals, 1087 with PD and 768 healthy controls. Regions of interest were classified anatomically (subcortical structures; white matter; cortical areas; cerebellum). Our statistical analysis considered the disease effect size (DES) as the main variable; the heterogeneity index (I2) and Pearson's correlations between the DES and co-variables (demographic, clinical and MRI parameters) were also calculated. RESULTS Our results showed that FA-DES and MD-DES were able to distinguish between patients and healthy controls. Significant differences, indicating degenerations, were observed within the substantia nigra, the corpus callosum, and the cingulate and temporal cortices. Moreover, some findings (particularly in the corticospinal tract) suggested opposite brain changes associated with PD. In addition, our results demonstrated that MD-DES was particularly sensitive to clinical and MRI parameters, such as the number of DTI directions and the echo time within white matter. CONCLUSIONS Despite some limitations, DTI appears as a sensitive method to study PD pathophysiology and severity. The association of DTI with other MRI methods should also be considered and could benefit the study of brain degenerations in PD.
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Affiliation(s)
| | - Serge Pinto
- Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France
- Brain and Language Research Institute, Aix Marseille Univ, Aix-en-Provence, France
| | - Alexandre Eusebio
- Aix Marseille Univ, APHM, Hôpital de la Timone, Service de Neurologie et Pathologie du Mouvement, Marseille, France
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille France
| | - Olivier Coulon
- Brain and Language Research Institute, Aix Marseille Univ, Aix-en-Provence, France
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille France
- Aix Marseille Univ, CNRS, LSIS lab, UMR 7296, Marseille, France
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Bu L, Yu D, Su S, Ma Y, von Deneen KM, Luo L, Zhai J, Liu B, Cheng J, Guan Y, Li Y, Bi Y, Xue T, Lu X, Yuan K. Functional Connectivity Abnormalities of Brain Regions with Structural Deficits in Young Adult Male Smokers. Front Hum Neurosci 2016; 10:494. [PMID: 27757078 PMCID: PMC5047919 DOI: 10.3389/fnhum.2016.00494] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/20/2016] [Indexed: 12/22/2022] Open
Abstract
Smoking is one of the most prevalent dependence disorders. Previous studies have detected structural and functional deficits in smokers. However, few studies focused on the changes of resting state functional connectivity (RSFC) of the brain regions with structural deficits in young adult smokers. Twenty-six young adult smokers and 26 well-matched healthy non-smokers participated in our study. Voxel-based morphometry (VBM) and RSFC were employed to investigate the structural and functional changes in young adult smokers. Compared with healthy non-smokers, young smokers showed increased gray matter (GM) volume in the left putamen and decreased GM volume in the left anterior cingulate cortex (ACC). Moreover, GM volume in the left ACC has a negative correlation trend with pack-years and GM volume in the left putamen was positively correlated with pack-years. The left ACC and putamen with abnormal volumes were chosen as the regions of interest (ROIs) for the RSFC analysis. We found that smokers showed increased RSFC between the left ACC and right amygdala and between the left putamen and right anterior insula. We revealed structural and functional deficits within the frontostriatal circuits in young smokers, which may shed new insights into the neural mechanisms of smoking.
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Affiliation(s)
- Limei Bu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Shaoping Su
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Yao Ma
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Karen M von Deneen
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Lin Luo
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Bo Liu
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Jiadong Cheng
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yanyan Guan
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yangding Li
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Xiaoqi Lu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and TechnologyBaotou, People's Republic of China; School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
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