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Zikereya T, Shi K, Chen W. Goal-directed and habitual control: from circuits and functions to exercise-induced neuroplasticity targets for the treatment of Parkinson's disease. Front Neurol 2023; 14:1254447. [PMID: 37881310 PMCID: PMC10597699 DOI: 10.3389/fneur.2023.1254447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/26/2023] [Indexed: 10/27/2023] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by motor and cognitive impairments. The progressive depletion of dopamine (DA) is the pathological basis of dysfunctional goal-directed and habitual control circuits in the basal ganglia. Exercise-induced neuroplasticity could delay disease progression by improving motor and cognitive performance in patients with PD. This paper reviews the research progress on the motor-cognitive basal ganglia circuit and summarizes the current hypotheses for explaining exercise intervention on rehabilitation in PD. Studies on exercise mediated mechanisms will contribute to the understanding of networks that regulate goal-directed and habitual behaviors and deficits in PD, facilitating the development of strategies for treatment of PD.
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Affiliation(s)
- Talifu Zikereya
- Department of Physical Education, China University of Geosciences, Beijing, China
| | - Kaixuan Shi
- Department of Physical Education, China University of Geosciences, Beijing, China
| | - Wei Chen
- Physical Education College, Hebei Normal University, Shijiazhuang, Hebei, China
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2
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Wang M, Tan C, Shen Q, Cai S, Liu Q, Liao H. Surface-Based Functional Alterations in Early-Onset and Late-Onset Parkinson's Disease: A Multi-Modal MRI Study. Diagnostics (Basel) 2023; 13:2969. [PMID: 37761336 PMCID: PMC10528821 DOI: 10.3390/diagnostics13182969] [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: 07/25/2023] [Revised: 09/02/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
This study used a surface-based method to investigate brain functional alteration patterns in early-onset Parkinson's disease (EOPD) and late-onset Parkinson's disease (LOPD) to provide more reliable imaging indicators for the assessment of the two subtypes. A total of 58 patients with Parkinson's disease were divided into two groups according to age at onset: EOPD (≤50 years; 16 males and 15 females) and LOPD (>50 years; 17 males and 10 females) groups. Two control groups were recruited from the community: young adults (YC; ≤50 years; 8 males and 19 females) and older adults (OC; >50 years; 12 males and 10 females). No significant differences were observed between the EOPD and YC groups or the LOPD and OC groups in terms of age, sex, education, and MMSE scores (p > 0.05). No statistically significant differences were observed between the EOPD and LOPD groups in terms of education, H-Y scale, UPDRS score, or HAMD score (p > 0.05). Data preprocessing and surface-based regional homogeneity (2D-ReHo) calculations were subsequently performed using the MATLAB-based DPABIsurf software. The EOPD group showed decreased 2D-ReHo values in the left premotor area and right dorsal stream visual cortex, along with increased 2D-ReHo values in the left dorsolateral prefrontal cortex. In patients with LOPD, 2D-ReHo values were decreased in bilateral somatosensory and motor areas and the right paracentral lobular and mid-cingulate. The imaging characterization of surface-based regional changes may serve useful as monitoring indicators and will help to better understand the mechanisms underlying divergent clinical presentations.
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Affiliation(s)
| | | | | | | | | | - Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China; (M.W.); (C.T.); (Q.S.); (S.C.); (Q.L.)
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3
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Chung JW, Bower AE, Malik I, Martello JP, Knight CA, Jeka JJ, Burciu RG. Imaging the lower limb network in Parkinson's disease. Neuroimage Clin 2023; 38:103399. [PMID: 37058977 PMCID: PMC10131075 DOI: 10.1016/j.nicl.2023.103399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Despite the significant impact of lower limb symptoms on everyday life activities in Parkinson's disease (PD), knowledge of the neural correlates of lower limb deficits is limited. OBJECTIVE We ran an fMRI study to investigate the neural correlates of lower limb movements in individuals with and without PD. METHODS Participants included 24 PD and 21 older adults who were scanned while performing a precisely controlled isometric force generation task by dorsiflexing their ankle. A novel MRI-compatible ankle dorsiflexion device that limits head motion during motor tasks was used. The PD were tested on their more affected side, whereas the side in controls was randomized. Importantly, PD were tested in the off-state, following overnight withdrawal from antiparkinsonian medication. RESULTS The foot task revealed extensive functional brain changes in PD compared to controls, with reduced fMRI signal during ankle dorsiflexion within the contralateral putamen and M1 foot area, and ipsilateral cerebellum. The activity of M1 foot area was negatively correlated with the severity of foot symptoms based on the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS-III). CONCLUSION Overall, current findings provide new evidence of brain changes underlying motor symptoms in PD. Our results suggest that pathophysiology of lower limb symptoms in PD appears to involve both the cortico-basal ganglia and cortico-cerebellar motor circuits.
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Affiliation(s)
- Jae Woo Chung
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States
| | - Abigail E Bower
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States
| | - Ibrahim Malik
- Center for Biomedical & Brain Imaging, University of Delaware, Newark, DE, United States
| | - Justin P Martello
- Department of Neurosciences, Christiana Care Health System, Newark, DE, United States
| | - Christopher A Knight
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States
| | - John J Jeka
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States
| | - Roxana G Burciu
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States.
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Kashif M, Ahmad A, Bandpei MAM, Gilani SA, Hanif A, Iram H. Combined effects of virtual reality techniques and motor imagery on balance, motor function and activities of daily living in patients with Parkinson's disease: a randomized controlled trial. BMC Geriatr 2022; 22:381. [PMID: 35488213 PMCID: PMC9055773 DOI: 10.1186/s12877-022-03035-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/06/2022] [Indexed: 11/16/2022] Open
Abstract
Background Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, impairing balance and motor function. Virtual reality (VR) and motor imagery (MI) are emerging techniques for rehabilitating people with PD. VR and MI combination have not been studied in PD patients. This study was conducted to investigate the combined effects of VR and MI techniques on the balance, motor function, and activities of daily living (ADLs) of patients with PD. Methods This study was a single-centered, two-armed, parallel-designed randomized controlled trial. A total of 44 patients of either gender who had idiopathic PD were randomly allocated into two groups using lottery methods. Both groups received Physical therapy (PT) treatment, while the experimental group (N: 20) received VR and MI in addition to PT. Both groups received assigned treatment for three days a week on alternate days for 12 weeks. The Unified Parkinson’s Disease Rating Scale (UPDRS) (parts II and III), Berg Balance Scale (BBS), and Activities-specific Balance Confidence (ABC) Scale were used as outcome measures for motor function, balance, and ADLs. The baseline, 6th, and 12th weeks of treatment were assessed, with a 16th week follow-up to measure retention. The data was analysed using SPSS 24. Results The experimental group showed significant improvement in motor function than the control group on the UPDRS part III, with 32.45±3.98 vs. 31.86±4.62 before and 15.05±7.16 vs. 25.52±7.36 at 12-weeks, and a p-value < 0.001. At 12 weeks, the experimental group's BBS scores improved from 38.95±3.23 to 51.36±2.83, with p-value < 0.001. At 12 weeks, the experimental group's balance confidence improved considerably, from 59.26±5.87to 81.01±6.14, with a p-value of < 0.001. The experimental group's ADL scores improved as well, going from 22.00±4.64 to 13.07±4.005 after 12 weeks, with a p-value of < 0.001. Conclusion VR with MI techniques in addition to routine PT significantly improved motor function, balance, and ADLs in PD patients compared to PT alone. Trial registration IRCT20200221046567N1. Date of registration: 01/04/2020
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Affiliation(s)
- Muhammad Kashif
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, 1 KM Defence Road, Lahore, 4200, Pakistan. .,Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Faisalabad Campus, Faisalabad, Pakistan.
| | - Ashfaq Ahmad
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, 1 KM Defence Road, Lahore, 4200, Pakistan
| | - Muhammad Ali Mohseni Bandpei
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, 1 KM Defence Road, Lahore, 4200, Pakistan
| | - Syed Amir Gilani
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, 1 KM Defence Road, Lahore, 4200, Pakistan
| | - Asif Hanif
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, 1 KM Defence Road, Lahore, 4200, Pakistan
| | - Humaira Iram
- Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Faisalabad Campus, Faisalabad, Pakistan
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5
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Wu H, Zhou C, Bai X, Liu X, Chen J, Wen J, Guo T, Wu J, Guan X, Gao T, Gu L, Huang P, Xu X, Zhang B, Zhang M. Identifying a whole-brain connectome-based model in drug-naïve Parkinson's disease for predicting motor impairment. Hum Brain Mapp 2021; 43:1984-1996. [PMID: 34970835 PMCID: PMC8933250 DOI: 10.1002/hbm.25768] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/12/2021] [Accepted: 12/20/2021] [Indexed: 12/17/2022] Open
Abstract
Identifying a whole‐brain connectome‐based predictive model in drug‐naïve patients with Parkinson's disease and verifying its predictions on drug‐managed patients would be useful in determining the intrinsic functional underpinnings of motor impairment and establishing general brain–behavior associations. In this study, we constructed a predictive model from the resting‐state functional data of 47 drug‐naïve patients by using a connectome‐based approach. This model was subsequently validated in 115 drug‐managed patients. The severity of motor impairment was assessed by calculating Unified Parkinson's Disease Rating Scale Part III scores. The predictive performance of model was evaluated using the correlation coefficient (rtrue) between predicted and observed scores. As a result, a connectome‐based model for predicting individual motor impairment in drug‐naïve patients was identified with significant performance (rtrue = .845, p < .001, ppermu = .002). Two patterns of connection were identified according to correlations between connection strength and the severity of motor impairment. The negative motor‐impairment‐related network contained more within‐network connections in the motor, visual‐related, and default mode networks, whereas the positive motor‐impairment‐related network was constructed mostly with between‐network connections coupling the motor‐visual, motor‐limbic, and motor‐basal ganglia networks. Finally, this predictive model constructed around drug‐naïve patients was confirmed with significant predictive efficacy on drug‐managed patients (r = .209, p = .025), suggesting a generalizability in Parkinson's disease patients under long‐term drug influence. In conclusion, this study identified a whole‐brain connectome‐based model that could predict the severity of motor impairment in Parkinson's patients and furthers our understanding of the functional underpinnings of the disease.
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Affiliation(s)
- Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xueqin Bai
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Gao
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luyan Gu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Li J, Liu Z, Du Z, Zhu N, Qiu X, Xu X. Cortical Activation During Finger Tapping Task Performance in Parkinson's Disease Is Influenced by Priming Conditions: An ALE Meta-Analysis. Front Hum Neurosci 2021; 15:774656. [PMID: 34916919 PMCID: PMC8669914 DOI: 10.3389/fnhum.2021.774656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
The finger tapping task (FTT) is commonly used in the evaluation of dyskinesia among patients with Parkinson's disease (PD). Past research has indicated that cortical activation during FTT is different between self-priming and cue-priming conditions. To evaluate how priming conditions affect the distribution of brain activation and the reorganization of brain function, and to investigate the differences in brain activation areas during FTT between PD patients and healthy control (HC) participants, we conducted an activation likelihood estimation (ALE) meta-analysis on the existing literature. Analyses were based on data from 15 independent samples that included 181 participants with PD and 164 HC participants. We found that there was significantly more activation in the middle frontal gyrus, precentral gyrus, post-central gyrus, superior parietal lobe, inferior parietal lobule, cerebellum, and basal ganglia during FTT in PD patients than in HCs. In self-priming conditions, PD patients had less activation in the parietal lobe and insular cortex but more activation in the cerebellum than the HCs. In cue-priming conditions, the PD patients showed less activation in the cerebellum and frontal-parietal areas and more activation in the superior frontal gyrus and superior temporal gyrus than the HCs. Our study illustrates that cue-priming manipulations affect the distribution of activity in brain regions involved in motor control and motor performance in PD patients. In cue-priming conditions, brain activity in regions associated with perceptual processing and inhibitory control was enhanced, while sensory motor areas associated with attention and motor control were impaired.
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Affiliation(s)
- Jingjing Li
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Zheng Liu
- ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia
- Sydney School of Education and Social Work, University of Sydney, Sydney, NSW, Australia
| | - Zhongquan Du
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Ningning Zhu
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Xueqing Qiu
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Xia Xu
- College of Health Science, Wuhan Sports University, Wuhan, China
- Hubei Key Laboratory of Exercise Training and Monitoring, Wuhan Sports University, Wuhan, China
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Rahimpour S, Rajkumar S, Hallett M. The Supplementary Motor Complex in Parkinson's Disease. J Mov Disord 2021; 15:21-32. [PMID: 34814237 PMCID: PMC8820882 DOI: 10.14802/jmd.21075] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/14/2021] [Indexed: 11/24/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor and nonmotor symptoms. Although the basal ganglia is traditionally the primary brain region implicated in this disease process, this limited view ignores the roles of the cortex and cerebellum that are networked with the basal ganglia to support motor and cognitive functions. In particular, recent research has highlighted dysfunction in the supplementary motor complex (SMC) in patients with PD. Using the PubMed and Google Scholar search engines, we identified research articles using keywords pertaining to the involvement of the SMC in action sequencing impairments, temporal processing disturbances, and gait impairment in patients with PD. A review of abstracts and full-text articles was used to identify relevant articles. In this review of 63 articles, we focus on the role of the SMC in PD, highlighting anatomical and functional data to create new perspectives in understanding clinical symptoms and, potentially, new therapeutic targets. The SMC has a nuanced role in the pathophysiology of PD, with both hypo- and hyperactivation associated with various symptoms. Further studies using more standardized patient populations and functional tasks are needed to more clearly elucidate the role of this region in the pathophysiology and treatment of PD.
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Affiliation(s)
- Shervin Rahimpour
- Department of Neurosurgery, Clinical Neuroscience Center, University of Utah, Salt Lake City, UT, USA
| | - Shashank Rajkumar
- Department of Neurosurgery, Duke University Hospital, Durham, NC, USA
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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McCusker MC, Wiesman AI, Spooner RK, Santamaria PM, McKune J, Heinrichs-Graham E, Wilson TW. Altered neural oscillations during complex sequential movements in patients with Parkinson's disease. Neuroimage Clin 2021; 32:102892. [PMID: 34911196 PMCID: PMC8645515 DOI: 10.1016/j.nicl.2021.102892] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 11/01/2021] [Accepted: 11/19/2021] [Indexed: 11/20/2022]
Abstract
The sequelae of Parkinson's disease (PD) includes both motor- and cognitive-related symptoms. Although traditionally considered a subcortical disease, there is increasing evidence that PD has a major impact on cortical function as well. Prior studies have reported alterations in cortical neural function in patients with PD during movement, but to date such studies have not examined whether the complexity of multicomponent movements modulate these alterations. In this study, 23 patients with PD (medication "off" state) and 27 matched healthy controls performed simple and complex finger tapping sequences during magnetoencephalography (MEG), and the resulting MEG data were imaged to identify the cortical oscillatory dynamics serving motor performance. The patients with PD were significantly slower than controls at executing the sequences overall, and both groups took longer to complete the complex sequences than the simple. In terms of neural differences, patients also exhibited weaker beta complexity-related effects in the right medial frontal gyrus and weaker complexity-related alpha activity in the right posterior and inferior parietal lobules, suggesting impaired motor sequence execution. Characterizing the cortical pathophysiology of PD could inform current and future therapeutic interventions that address both motor and cognitive symptoms.
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Affiliation(s)
- Marie C McCusker
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Alex I Wiesman
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA; The Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA; Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Jennifer McKune
- Department of Physical Therapy, Nebraska Medicine, Omaha, NE, USA
| | - Elizabeth Heinrichs-Graham
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
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9
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Mugruza-Vassallo CA, Potter DD, Tsiora S, Macfarlane JA, Maxwell A. Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling. Brain Inform 2021; 8:5. [PMID: 33745089 PMCID: PMC7982371 DOI: 10.1186/s40708-021-00124-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 12/21/2020] [Indexed: 11/19/2022] Open
Abstract
In this study, the relationship of orienting of attention, motor control and the Stimulus- (SDN) and Goal-Driven Networks (GDN) was explored through an innovative method for fMRI analysis considering all voxels in four experimental conditions: standard target (Goal; G), novel (N), neutral (Z) and noisy target (NG). First, average reaction times (RTs) for each condition were calculated. In the second-level analysis, 'distracted' participants, as indicated by slower RTs, evoked brain activations and differences in both hemispheres' neural networks for selective attention, while the participants, as a whole, demonstrated mainly left cortical and subcortical activations. A context analysis was run in the behaviourally distracted participant group contrasting the trials immediately prior to the G trials, namely one of the Z, N or NG conditions, i.e. Z.G, N.G, NG.G. Results showed different prefrontal activations dependent on prior context in the auditory modality, recruiting between 1 to 10 prefrontal areas. The higher the motor response and influence of the previous novel stimulus, the more prefrontal areas were engaged, which extends the findings of hierarchical studies of prefrontal control of attention and better explains how auditory processing interferes with movement. Also, the current study addressed how subcortical loops and models of previous motor response affected the signal processing of the novel stimulus, when this was presented laterally or simultaneously with the target. This multitasking model could enhance our understanding on how an auditory stimulus is affecting motor responses in a way that is self-induced, by taking into account prior context, as demonstrated in the standard condition and as supported by Pulvinar activations complementing visual findings. Moreover, current BCI works address some multimodal stimulus-driven systems.
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Affiliation(s)
- Carlos A Mugruza-Vassallo
- Grupo de Investigación de Computación Y Neurociencia Cognitiva, Facultad de Ingeniería Y Gestión, Universidad Nacional Tecnológica de Lima Sur - UNTELS, Lima, Perú.
| | - Douglas D Potter
- Neuroscience and Development Group, Arts and Science, University of Dundee, Dundee, UK
| | - Stamatina Tsiora
- School of Psychology, University of Lincoln, Lincoln, United Kingdom
| | | | - Adele Maxwell
- Neuroscience and Development Group, Arts and Science, University of Dundee, Dundee, UK
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10
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Herz DM, Meder D, Camilleri JA, Eickhoff SB, Siebner HR. Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta-Analytic Modeling. Mov Disord 2021; 36:1180-1190. [PMID: 33427336 PMCID: PMC8127399 DOI: 10.1002/mds.28468] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 12/30/2022] Open
Abstract
Background Motor‐related brain activity in Parkinson's disease has been investigated in a multitude of functional neuroimaging studies, which often yielded apparently conflicting results. Our previous meta‐analysis did not resolve inconsistencies regarding cortical activation differences in Parkinson's disease, which might be related to the limited number of studies that could be included. Therefore, we conducted a revised meta‐analysis including a larger number of studies. The objectives of this study were to elucidate brain areas that consistently show abnormal motor‐related activation in Parkinson's disease and to reveal their functional connectivity profiles using meta‐analytic approaches. Methods We applied a quantitative meta‐analysis of functional neuroimaging studies testing limb movements in Parkinson's disease comprising data from 39 studies, of which 15 studies (285 of 571 individual patients) were published after the previous meta‐analysis. We also conducted meta‐analytic connectivity modeling to elucidate the connectivity profiles of areas showing abnormal activation. Results We found consistent motor‐related underactivation of bilateral posterior putamen and cerebellum in Parkinson's disease. Primary motor cortex and the supplementary motor area also showed deficient activation, whereas cortical regions localized directly anterior to these areas expressed overactivation. Connectivity modeling revealed that areas showing decreased activation shared a common pathway through the posterior putamen, whereas areas showing increased activation were connected to the anterior putamen. Conclusions Despite conflicting results in individual neuroimaging studies, this revised meta‐analytic approach identified consistent patterns of abnormal motor‐related activation in Parkinson's disease. The distinct patterns of decreased and increased activity might be determined by their connectivity with different subregions of the putamen. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Damian M Herz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - David Meder
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Julia A Camilleri
- Research Center Juelich, Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Juelich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Simon B Eickhoff
- Research Center Juelich, Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Juelich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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11
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Kashif M, Ahmad A, Bandpei MAM, Gillani SA, Hanif A, Iram H. Effects of Virtual Reality with Motor Imagery Techniques in Patients with Parkinson's Disease: Study Protocol for a Randomized Controlled Trial. NEURODEGENER DIS 2020; 20:90-96. [PMID: 33333508 DOI: 10.1159/000511916] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 09/28/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is one of the most common neurological disorders, of insidious onset, with major motor symptomatology including bradykinesia, rest tremor, rigidity, and postural disturbances. Virtual reality (VR) and motor imagery (MI) are among the more innovative techniques for the rehabilitation of patients with PD which promote motor learning both through explicit and implicit processes. This study is unique in that it will examine the combined effects of VR and MI on motor function, balance and activities of daily living (ADLs) in patients with PD. OBJECTIVE The aim of this work is to investigate the effects of VR with MI techniques in addition to routine physical therapy on motor function, balance, and ADLs in patients with PD. METHODS This is a two-armed parallel design, single-blinded (assessor blinded), single-centered, randomized controlled trial, and the study protocol is based on SPIRIT guidelines. Thirty-four patients with PD (Modified Hoehn and Yahr stages I-III) will be randomly allocated with a 1:1 ratio into Group A (control group) and Group B (treatment group). Group A will be given routine physical therapy in 40-min sessions and 20 min of walking and cycling with a short period of rest, every alternate day (3 days per week) for 12 weeks, while for Group B routine physical therapy protocols along with VR and MI will be used in 60-min sessions, every alternate day (3 days per week) for 12 weeks. The primary outcome measures are as follows: (i) the Unified PD Rating Scale (UPDRS; part III), (ii) the Berg Balance Scale (BBS), and the Activities-Specific Balance Confidence Scale (ABC). The secondary outcome measure is the UPDRS (part II). Assessments will be recorded at baseline, the sixth and twelfth weeks of therapy, and 1 month after the discontinuation of therapy. Clinical Study Registration: This randomized controlled prospective study was registered with the Iranian Registry of clinical trials (IRCT20200221046567N1) on April 1, 2020 (https://www.irct.ir/trial/46073).
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Affiliation(s)
- Muhammad Kashif
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan,
- Riphah College of Rehabilitation and Allied Health Sciences Riphah International University, Faisalabad Campus, Faisalabad, Pakistan,
| | - Ashfaq Ahmad
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
| | - Muhammad Ali Mohseni Bandpei
- University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
- Paediatric Neurorehabilitation Research Centre, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Syed Amir Gillani
- Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
| | - Asif Hanif
- University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan
| | - Humaira Iram
- Riphah College of Rehabilitation and Allied Health Sciences Riphah International University, Faisalabad Campus, Faisalabad, Pakistan
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Bi XA, Wu H, Xie Y, Zhang L, Luo X, Fu Y. The exploration of Parkinson's disease: a multi-modal data analysis of resting functional magnetic resonance imaging and gene data. Brain Imaging Behav 2020; 15:1986-1996. [PMID: 32990896 DOI: 10.1007/s11682-020-00392-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 02/02/2023]
Abstract
Parkinson's disease (PD) is the most universal chronic degenerative neurological dyskinesia and an important threat to elderly health. At present, the researches of PD are mainly based on single-modal data analysis, while the fusion research of multi-modal data may provide more meaningful information in the aspect of comprehending the pathogenesis of PD. In this paper, 104 samples having resting functional magnetic resonance imaging (rfMRI) and gene data are from Parkinson's Progression Markers Initiative (PPMI) and Alzheimer's Disease Neuroimaging Initiative (ADNI) database to predict pathological brain areas and risk genes related to PD. In the experiment, Pearson correlation analysis is adopted to conduct fusion analysis from the data of genes and brain areas as multi-modal sample characteristics, and the clustering evolution random forest (CERF) method is applied to detect the discriminative genes and brain areas. The experimental results indicate that compared with several existing advanced methods, the CERF method can further improve the diagnosis of PD and healthy control, and can achieve a significant effect. More importantly, we find that there are some interesting associations between brain areas and genes in PD patients. Based on these associations, we notice that PD-related brain areas include angular gyrus, thalamus, posterior cingulate gyrus and paracentral lobule, and risk genes mainly include C6orf10, HLA-DPB1 and HLA-DOA. These discoveries have a significant contribution to the early prevention and clinical treatments of PD.
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Affiliation(s)
- Xia-An Bi
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China. .,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China.
| | - Hao Wu
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China.,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China
| | - Yiming Xie
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China.,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China
| | - Lixia Zhang
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China.,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China
| | - Xun Luo
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China.,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China
| | - Yu Fu
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China.,College of Information Science and Engineering, Hunan Normal University, Changsha, People's Republic of China
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13
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Andersen KW, Madsen KH, Siebner HR. Discrete finger sequences are widely represented in human striatum. Sci Rep 2020; 10:13189. [PMID: 32764639 PMCID: PMC7414018 DOI: 10.1038/s41598-020-69923-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 06/16/2020] [Indexed: 11/09/2022] Open
Abstract
Research in primates and rodents ascribes the striatum a critical role in integrating elementary movements into unitary action sequences through reinforcement-based learning. Yet it remains to be shown whether the human striatum represents action sequence-specific information. Young right-handed volunteers underwent functional magnetic resonance imaging while they performed four discrete finger sequences with their right hand, consisting of five button presses. Specific finger sequences could be discriminated based on the distributed activity patterns in left and right striatum, but not by average differences in single-voxel activity. Multiple bilateral clusters in putamen and caudate nucleus belonging to motor, associative, parietal and limbic territories contributed to classification sensitivity. The results show that individual finger movement sequences are widely represented in human striatum, supporting functional integration rather than segregation. The findings are compatible with the idea that the basal ganglia simultaneously integrate motor, associative and limbic aspects in the control of complex overlearned behaviour.
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Affiliation(s)
- Kasper Winther Andersen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark
| | - Kristoffer H Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark. .,Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark. .,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark.
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14
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Solstrand Dahlberg L, Lungu O, Doyon J. Cerebellar Contribution to Motor and Non-motor Functions in Parkinson's Disease: A Meta-Analysis of fMRI Findings. Front Neurol 2020; 11:127. [PMID: 32174883 PMCID: PMC7056869 DOI: 10.3389/fneur.2020.00127] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/04/2020] [Indexed: 01/19/2023] Open
Abstract
Background: Parkinson's disease (PD) results in both motor and non-motor symptoms. Traditionally, the underlying mechanism of PD has been linked to neurodegeneration of the basal ganglia. Yet it does not adequately account for the non-motor symptoms of the disease, suggesting that other brain regions may be involved. One such region is the cerebellum, which is known to be involved, together with the basal ganglia, in both motor and non-motor functions. Many studies have found the cerebellum to be hyperactive in PD patients, a finding that is seldom discussed in detail, and warrants further examination. The current study thus aims to examine quantitively the current literature on the cerebellar involvement in both motor and non-motor functioning in PD. Methods: A meta-analysis of functional neuroimaging literature was conducted with Seed-based D mapping. Only the studies testing functional activation in response to motor and non-motor paradigms in PD and healthy controls (HC) were included in the meta-analysis. Separate analyses were conducted by including only studies with non-motor paradigms, as well as meta-regressions with UPDRS III scores and disease duration. Results: A total of 57 studies with both motor and non-motor paradigms fulfilled our inclusion criteria and were included in the meta-analysis, which revealed hyperactivity in Crus I-II and vermal III in PD patients compared to HC. An analysis including only studies with cognitive paradigms revealed a cluster of increased activity in PD patients encompassing lobule VIIB and VIII. Another meta-analysis including the only 20 studies that employed motor paradigms did not reveal any significant group differences. However, a descriptive analysis of these studies revealed that 60% of them reported cerebellar hyperactivations in PD and included motor paradigm with significant cognitive task demands, as opposed to 40% presenting the opposite pattern and using mainly force grip tasks. The meta-regression with UPDRS III scores found a negative association between motor scores and activation in lobule VI and vermal VII-VIII. No correlation was found with disease duration. Discussion: The present findings suggest that one of the main cerebellar implications in PD is linked to cognitive functioning. The negative association between UPDRS scores and activation in regions implicated in motor functioning indicate that there is less involvement of these areas as the disease severity increases. In contrast, the lack of correlation with disease duration seems to indicate that the cerebellar activity may be a compensatory mechanism to the dysfunctional basal ganglia, where certain sub-regions of the cerebellum are employed to cope with motor demands. Yet future longitudinal studies are needed to fully address this possibility.
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Affiliation(s)
- Linda Solstrand Dahlberg
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Ovidiu Lungu
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, University of Montreal, Montreal, QC, Canada
| | - Julien Doyon
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Functional Neuroimaging Unit, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
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15
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Al Jaja A, Grahn JA, Herrmann B, MacDonald PA. The effect of aging, Parkinson's disease, and exogenous dopamine on the neural response associated with auditory regularity processing. Neurobiol Aging 2020; 89:71-82. [PMID: 32057529 DOI: 10.1016/j.neurobiolaging.2020.01.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 11/25/2019] [Accepted: 01/01/2020] [Indexed: 01/10/2023]
Abstract
Processing regular patterns in auditory scenes is important for navigating complex environments. Electroencephalography studies find enhancement of sustained brain activity, correlating with the emergence of a regular pattern in sounds. How aging, aging-related diseases such as Parkinson's disease (PD), and treatment of PD with dopaminergic therapy affect this fundamental function remain unknown. We addressed this knowledge gap. Healthy younger and older adults and patients with PD listened to sounds that contained or were devoid of regular patterns. Healthy older adults and patients with PD were tested twice-off and on dopaminergic medication, in counterbalanced order. Regularity-evoked, sustained electroencephalography activity was reduced in older, compared with younger adults. Patients with PD and older controls evidenced comparable attenuation of the sustained response. Dopaminergic therapy further weakened the sustained response in both older controls and patients with PD. These findings suggest that fundamental regularity processing is impacted by aging but not specifically by PD. The finding that dopaminergic therapy attenuates rather than improves the sustained response coheres with the dopamine overdose response and is in line with previous findings that regularity processing implicates brain regions receiving dopamine from the ventral tegmental area that is relatively spared in PD and normal aging.
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Affiliation(s)
- Abdullah Al Jaja
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada; Schulich School of Medicine & Dentistry, Graduate Neuroscience Program, University of Western Ontario, London, Ontario, Canada
| | - Jessica A Grahn
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada; Department of Psychology, University of Western Ontario, London, Ontario, Canada
| | - Björn Herrmann
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada; Department of Psychology, University of Western Ontario, London, Ontario, Canada
| | - Penny A MacDonald
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada; Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada.
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16
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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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