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Maggi G, Loayza F, Vitale C, Santangelo G, Obeso I. Anatomical correlates of apathy and impulsivity co-occurrence in early Parkinson's disease. J Neurol 2024; 271:2798-2809. [PMID: 38416170 PMCID: PMC11055726 DOI: 10.1007/s00415-024-12233-3] [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: 10/30/2023] [Revised: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Although apathy and impulse control disorders (ICDs) are considered to represent opposite extremes of a continuum of motivated behavior (i.e., hypo- and hyperdopaminergic behaviors), they may also co-occur in Parkinson's disease (PD). OBJECTIVES We aimed to explore the co-occurrence of ICDs and apathy and its neural correlates analyzing gray matter (GM) changes in early untreated PD patients. Moreover, we aimed to investigate the possible longitudinal relationship between ICDs and apathy and their putative impact on cognition during the first five years of PD. METHODS We used the Parkinson's Progression Markers Initiative (PPMI) database to identify the co-occurrence of apathy and ICDs in 423 early drug-naïve PD patients at baseline and at 5-year follow-up. Baseline MRI volumes and gray matter changes were analyzed between groups using voxel-based morphometry. Multi-level models assessed the longitudinal relationship (across five years) between apathy and ICDs and cognitive functioning. RESULTS At baseline, co-occurrence of apathy and ICDs was observed in 23 patients (5.4%). This finding was related to anatomical GM reduction along the cortical regions involved in the limbic circuit and cognitive control systems. Longitudinal analyses indicated that apathy and ICDs were related to each other as well as to the combined use of levodopa and dopamine agonists. Worse apathetic and ICDs states were associated with poorer executive functions. CONCLUSIONS Apathy and ICDs are joint non-exclusive neuropsychiatric disorders also in the early stages of PD and their co-occurrence was associated with GM decrease in several cortical regions of the limbic circuit and cognitive control systems.
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Affiliation(s)
- Gianpaolo Maggi
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Francis Loayza
- Neurosciences and Bioengineering Laboratory, Faculty of Mechanical and Production Sciences Engineering, Polytechnic University (ESPOL), Guayaquil, Ecuador
| | - Carmine Vitale
- Department of Medical, Motor Sciences and Wellness, University "Parthenope", Naples, Italy
- Institute of Diagnosis and Health, IDC-Hermitage Capodimonte, Naples, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Ignacio Obeso
- HM-CINAC, Centro Integral de Neurociencias AC. HM Hospitales, Av. Carlos V, 70, Móstoles, 28938, Madrid, Spain.
- CINC, CSIC, Madrid, Spain.
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2
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Gan C, Zhang H, Sun H, Cao X, Wang L, Zhang K, Yuan Y. Aberrant brain topological organization and granger causality connectivity in Parkinson's disease with impulse control disorders. Front Aging Neurosci 2024; 16:1364402. [PMID: 38725535 PMCID: PMC11079187 DOI: 10.3389/fnagi.2024.1364402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/03/2024] [Indexed: 05/12/2024] Open
Abstract
Introduction Impulse control disorders (ICDs) refer to the common neuropsychiatric complication of Parkinson's disease (PD). The white matter (WM) topological organization and its impact on brain networks remain to be established. Methods A total of 17 PD patients with ICD (PD-ICD), 17 without ICD (PD-NICD), and 18 healthy controls (HCs) were recruited. Graph theoretic analyses and Granger causality analyses were combined to investigate WM topological organization and the directional connection patterns of key regions. Results Compared to PD-NICD, ICD patients showed abnormal global properties, including decreased shortest path length (Lp) and increased global efficiency (Eg). Locally, the ICD group manifested abnormal nodal topological parameters predominantly in the left middle cingulate gyrus (MCG) and left superior cerebellum. Decreased directional connectivity from the left MCG to the right medial superior frontal gyrus was observed in the PD-ICD group. ICD severity was significantly correlated with Lp and Eg. Discussion Our findings reflected that ICD patients had excessively optimized WM topological organization, abnormally strengthened nodal structure connections within the reward network, and aberrant causal connectivity in specific cortical- limbic circuits. We hypothesized that the aberrant reward and motor inhibition circuit could play a crucial role in the emergence of ICDs.
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Affiliation(s)
- Caiting Gan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Heng Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huimin Sun
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xingyue Cao
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lina Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kezhong Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yongsheng Yuan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
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3
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Marras C, Fereshtehnejad SM, Berg D, Bohnen NI, Dujardin K, Erro R, Espay AJ, Halliday G, Van Hilten JJ, Hu MT, Jeon B, Klein C, Leentjens AFG, Mollenhauer B, Postuma RB, Rodríguez-Violante M, Simuni T, Weintraub D, Lawton M, Mestre TA. Transitioning from Subtyping to Precision Medicine in Parkinson's Disease: A Purpose-Driven Approach. Mov Disord 2024; 39:462-471. [PMID: 38243775 DOI: 10.1002/mds.29708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/29/2023] [Accepted: 12/18/2023] [Indexed: 01/21/2024] Open
Abstract
The International Parkinson and Movement Disorder Society (MDS) created a task force (TF) to provide a critical overview of the Parkinson's disease (PD) subtyping field and develop a guidance on future research in PD subtypes. Based on a literature review, we previously concluded that PD subtyping requires an ultimate alignment with principles of precision medicine, and consequently novel approaches were needed to describe heterogeneity at the individual patient level. In this manuscript, we present a novel purpose-driven framework for subtype research as a guidance to clinicians and researchers when proposing to develop, evaluate, or use PD subtypes. Using a formal consensus methodology, we determined that the key purposes of PD subtyping are: (1) to predict disease progression, for both the development of therapies (use in clinical trials) and prognosis counseling, (2) to predict response to treatments, and (3) to identify therapeutic targets for disease modification. For each purpose, we describe the desired product and the research required for its development. Given the current state of knowledge and data resources, we see purpose-driven subtyping as a pragmatic and necessary step on the way to precision medicine. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | | | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University, Kiel, Germany
| | - Nicolaas I Bohnen
- Departments of Radiology & Neurology, University of Michigan, University of Michigan Udall Center, Ann Arbor, Michigan, USA
| | - Kathy Dujardin
- Center of Excellence for Parkinson's Disease, CHU Lille, Univ Lille, Inserm, Lille Neuroscience & Cognition, Lille, France
| | - Roberto Erro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, Italy
| | - Alberto J Espay
- James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA
| | - Glenda Halliday
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Jacobus J Van Hilten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michele T Hu
- Nuffield Department of Clinical Neurosciences, Oxford University and John Radcliffe Hospital, West Wing, Neurology Department, Level 3, Oxford, United Kingdom
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Christine Klein
- Institute of Neurogenetics, University of Luebeck, Luebeck, Germany
| | - Albert F G Leentjens
- Department of Psychiatry, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Department of Neurology, University Medical Center Goettingen, Kassel, Germany
| | - Ronald B Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | | | - Tanya Simuni
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania; Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Michael Lawton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Tiago A Mestre
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Parkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, The University of Ottawa Brain and Research Institute, Ottawa, Ontario, Canada
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4
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Liu J, Zou X, Gu J, Yu Q, Dong Z, Zuo H, Chen X, Du X, Zou D, Han Y, Peng J, Cheng O. Altered connectivity in the cognitive control-related prefrontal cortex in Parkinson's disease with rapid eye movement sleep behavior disorder. Brain Imaging Behav 2023; 17:702-714. [PMID: 37721659 DOI: 10.1007/s11682-023-00796-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2023] [Indexed: 09/19/2023]
Abstract
Rapid eye movement sleep behavior disorder (RBD) frequently occurs in Parkinson's disease (PD), however, the exact pathophysiological mechanism is not clear. The prefrontal cortex (PFC), especially ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), and inferior frontal gyrus (IFG) which may play roles by regulating cognitive control processes. The purpose of this study was to investigate whether there is abnormal functional connectivity (FC) maps and volume changes in PD with RBD(PD-RBD). We recruited 20 PD-RBD, 20 PD without RBD (PD-nRBD), and 20 normal controls (NC). We utilized resting-state functional Magnetic Resonance Imaging (rs-MRI) to explore FC changes based on regions of interest (VLPFC, DLPFC, and IFG), and used voxel-based morphology technology to analyze whole-brain volumes by 3D-T1 structural MRI. Except the REM sleep behavioral disorders questionnaire (RBDSQ), the PD-RBD showed lower visuospatial/executive and attention scores than the NC group. The RBDSQ scores were significantly positively correlated with zFC of right DLPFC to bilateral posterior cingulate cortex (PCC) (P = 0.0362, R = 0.4708, AlphaSim corrected) and also significantly positively correlated with zFC of left VLPFC to right inferior temporal (P = 0.0157, R = 0.5323, AlphaSim corrected) in PD-RBD group. Furthermore, abnormal correlations with zFC values were also found in some cognitive subdomains in PD-RBD group. The study may suggest that in PD-RBD patients, the presence of RBD may be related to the abnormal FC of VLPFC and DLPFC, meanwhile, the abnormal FC of DLPFC and IFG may be related to the mechanisms of cognitive impairment.
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Affiliation(s)
- Jinjing Liu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
- Department of Rehabilitation Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Xiaoya Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Jinming Gu
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Qian Yu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Zhaoying Dong
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Hongzhou Zuo
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaocui Chen
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xinyi Du
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Dezhi Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Yu Han
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Juan Peng
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
| | - Oumei Cheng
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
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5
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Hernadi G, Perlaki G, Kovacs M, Pinter D, Orsi G, Janszky J, Kovacs N. White matter hyperintensities associated with impulse control disorders in Parkinson's Disease. Sci Rep 2023; 13:10594. [PMID: 37391475 PMCID: PMC10313834 DOI: 10.1038/s41598-023-37054-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 06/15/2023] [Indexed: 07/02/2023] Open
Abstract
Impulse control disorders (ICDs) in Parkinson's disease (PD) are increasingly recognized as clinically significant non-motor features that potentially impair the quality of life. White matter hyperintensities (WMHs), detected by magnetic resonance imaging, are frequently observed in PD and can be associated with both motor- and certain non-motor symptoms. Given the limited number of non-motor features studied in this context, our aim was to reveal the potential association between the severity of WMHs and ICDs in PD. Fluid-attenuated inversion recovery magnetic resonance images were retrospectively evaluated in 70 patients with PD (48 males; 59.3 ± 10.1 years). The severity of WMHs was assessed by Fazekas scores and by the volume and number of supratentorial WMHs. ICDs were evaluated using the modified Minnesota Impulsive Disorders Interview. Significant interaction between age and the severity of WMHs was present for ICDs. In our younger patients (< 60.5 years), severity of WMHs was positively associated with ICDs (p = 0.004, p = 0.021, p < 0.001 and p < 0.001, respectively for periventricular white matter and total Fazekas scores and the volume and number of WMHs). Our study supports the hypothesis that WMHs of presumed vascular origin may contribute to ICDs in PD. Future prospective studies are needed to assess the prognostic relevance of this finding.
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Affiliation(s)
| | - Gabor Perlaki
- Pecs Diagnostic Centre, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
| | - Marton Kovacs
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary.
| | - David Pinter
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
| | - Gergely Orsi
- Pecs Diagnostic Centre, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
| | - Jozsef Janszky
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
| | - Norbert Kovacs
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
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6
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Eraifej J, Cabral J, Fernandes HM, Kahan J, He S, Mancini L, Thornton J, White M, Yousry T, Zrinzo L, Akram H, Limousin P, Foltynie T, Aziz TZ, Deco G, Kringelbach M, Green AL. Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation. Netw Neurosci 2023; 7:478-495. [PMID: 37397890 PMCID: PMC10312264 DOI: 10.1162/netn_a_00297] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 11/29/2022] [Indexed: 09/03/2023] Open
Abstract
Beyond the established effects of subthalamic nucleus deep brain stimulation (STN-DBS) in reducing motor symptoms in Parkinson's disease, recent evidence has highlighted the effect on non-motor symptoms. However, the impact of STN-DBS on disseminated networks remains unclear. This study aimed to perform a quantitative evaluation of network-specific modulation induced by STN-DBS using Leading Eigenvector Dynamics Analysis (LEiDA). We calculated the occupancy of resting-state networks (RSNs) in functional MRI data from 10 patients with Parkinson's disease implanted with STN-DBS and statistically compared between ON and OFF conditions. STN-DBS was found to specifically modulate the occupancy of networks overlapping with limbic RSNs. STN-DBS significantly increased the occupancy of an orbitofrontal limbic subsystem with respect to both DBS OFF (p = 0.0057) and 49 age-matched healthy controls (p = 0.0033). Occupancy of a diffuse limbic RSN was increased with STN-DBS OFF when compared with healthy controls (p = 0.021), but not when STN-DBS was ON, which indicates rebalancing of this network. These results highlight the modulatory effect of STN-DBS on components of the limbic system, particularly within the orbitofrontal cortex, a structure associated with reward processing. These results reinforce the value of quantitative biomarkers of RSN activity in evaluating the disseminated impact of brain stimulation techniques and the personalization of therapeutic strategies.
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Affiliation(s)
- John Eraifej
- Oxford Functional Neurosurgery Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Joana Cabral
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Henrique M. Fernandes
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Joshua Kahan
- Sobell Department for Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, United Kingdom
| | - Shenghong He
- MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Laura Mancini
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom
| | - John Thornton
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom
| | - Mark White
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom
| | - Tarek Yousry
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom
| | - Ludvic Zrinzo
- Sobell Department for Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, United Kingdom
| | - Harith Akram
- Sobell Department for Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, United Kingdom
| | - Patricia Limousin
- Sobell Department for Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, United Kingdom
| | - Tom Foltynie
- Sobell Department for Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, United Kingdom
| | - Tipu Z. Aziz
- Oxford Functional Neurosurgery Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avançats, Barcelona, Spain
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Morten Kringelbach
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Alexander L. Green
- Oxford Functional Neurosurgery Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
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Zhu H, Fitzhugh MC, Keator LM, Johnson L, Rorden C, Bonilha L, Fridriksson J, Rogalsky C. How can graph theory inform the dual-stream model of speech processing? a resting-state fMRI study of post-stroke aphasia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.17.537216. [PMID: 37131756 PMCID: PMC10153155 DOI: 10.1101/2023.04.17.537216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The dual-stream model of speech processing has been proposed to represent the cortical networks involved in speech comprehension and production. Although it is arguably the prominent neuroanatomical model of speech processing, it is not yet known if the dual-stream model represents actual intrinsic functional brain networks. Furthermore, it is unclear how disruptions after a stroke to the functional connectivity of the dual-stream model's regions are related to specific types of speech production and comprehension impairments seen in aphasia. To address these questions, in the present study, we examined two independent resting-state fMRI datasets: (1) 28 neurotypical matched controls and (2) 28 chronic left-hemisphere stroke survivors with aphasia collected at another site. Structural MRI, as well as language and cognitive behavioral assessments, were collected. Using standard functional connectivity measures, we successfully identified an intrinsic resting-state network amongst the dual-stream model's regions in the control group. We then used both standard functional connectivity analyses and graph theory approaches to determine how the functional connectivity of the dual-stream network differs in individuals with post-stroke aphasia, and how this connectivity may predict performance on clinical aphasia assessments. Our findings provide strong evidence that the dual-stream model is an intrinsic network as measured via resting-state MRI, and that weaker functional connectivity of the hub nodes of the dual-stream network defined by graph theory methods, but not overall average network connectivity, is weaker in the stroke group than in the control participants. Also, the functional connectivity of the hub nodes predicted specific types of impairments on clinical assessments. In particular, the relative strength of connectivity of the right hemisphere's homologues of the left dorsal stream hubs to the left dorsal hubs versus right ventral stream hubs is a particularly strong predictor of post-stroke aphasia severity and symptomology.
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Baagil H, Hohenfeld C, Habel U, Eickhoff SB, Gur RE, Reetz K, Dogan I. Neural correlates of impulse control behaviors in Parkinson's disease: Analysis of multimodal imaging data. Neuroimage Clin 2023; 37:103315. [PMID: 36610308 PMCID: PMC9850204 DOI: 10.1016/j.nicl.2023.103315] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/22/2022] [Accepted: 01/02/2023] [Indexed: 01/06/2023]
Abstract
BACKGROUND Impulse control behaviors (ICB) are frequently observed in patients with Parkinson's disease (PD) and are characterized by compulsive and repetitive behavior resulting from the inability to resist internal drives. OBJECTIVES In this study, we aimed to provide a better understanding of structural and functional brain alterations and clinical parameters related to ICB in PD patients. METHODS We utilized a dataset from the Parkinson's Progression Markers Initiative including 36 patients with ICB (PDICB+) compared to 76 without ICB (PDICB-) and 61 healthy controls (HC). Using multimodal MRI data we assessed gray matter brain volume, white matter integrity, and graph topological properties at rest. RESULTS Compared with HC, PDICB+ showed reduced gray matter volume in the bilateral superior and middle temporal gyrus and in the right middle occipital gyrus. Compared with PDICB-, PDICB+ showed volume reduction in the left anterior insula. Depression and anxiety were more prevalent in PDICB+ than in PDICB- and HC. In PDICB+, lower gray matter volume in the precentral gyrus and medial frontal cortex, and higher axial diffusivity in the superior corona radiata were related to higher depression score. Both PD groups showed disrupted functional topological network pattern within the cingulate cortex compared with HC. PDICB+ vs PDICB- displayed reduced topological network pattern in the anterior cingulate cortex, insula, and nucleus accumbens. CONCLUSIONS Our results suggest that structural alterations in the insula and abnormal topological connectivity pattern in the salience network and the nucleus accumbens may lead to impaired decision making and hypersensitivity towards reward in PDICB+. Moreover, PDICB+ are more prone to suffer from depression and anxiety.
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Affiliation(s)
- Hamzah Baagil
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen University, Germany
| | - Christian Hohenfeld
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen University, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Pauwelsstraße 30, Aachen, Germany; JARA‑BRAIN, Jülich‑Aachen Research Alliance, Institute of Brain Structure-Function Relationships, Aachen, Germany
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Germany
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen University, Germany.
| | - Imis Dogan
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen University, Germany
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9
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Gu L, Shu H, Wang Y, Xu H. Exploring brain changes of impulse control disorders in Parkinson's disease: An ALE study. Front Aging Neurosci 2022; 14:966525. [PMID: 36110428 PMCID: PMC9468821 DOI: 10.3389/fnagi.2022.966525] [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: 06/11/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background Previous neuroimaging studies reported inconsistent results for comparison between Parkinson's disease (PD) with impulse control disorder (PD-ICD) and without ICD (PD-no ICD). Methods A search was performed in databases (PubMed and Web of Science) to identify studies published before May 2022. An anatomic likelihood estimation (ALE) method study was made for neuroimaging studies in PD-ICD. Results The study included 20 studies (including 341 PD-ICD and 437 PD-no ICD). PD-ICD patients showed significant cortical thinning in the right inferior frontal gyrus (IFG), the right middle frontal gyrus (MFG), the left superior frontal gyrus (SFG), the right precentral gyrus (PCG) and the left cingulate gyrus (CG), compared to PD-no ICD patients. The ALE study showed reduced resting-state brain activation in the right IFG, the right PCG, the left insula and the right transverse temporal gyrus (TTG) in PD-ICD, compared to PD-no ICD patients. In addition, PD-ICD showed increased resting-state brain activation in the right caudate, the bilateral insula and the left orbital gyrus (OG), compared to PD-no ICD patients. The study indicated reduced task-related brain activation in the right caudate, the right MFG, the right lentiform nucleus (LN) and the right precuneus (PCUN) in PD-ICD, compared to PD-no ICD patients. The study showed increased task-related brain activation in the left inferior parietal lobule (IPL), the right medial frontal gyrus, the right caudate and the right PCG in PD-ICD, compared to PD-no ICD patients. Conclusions The present ALE analysis has confirmed that brain changes in frontal, temporal and basal ganglia regions are among the most frequently reported regions in PD-ICD. Deficits in these regions could play a role in diagnosis of PD-ICD.
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Affiliation(s)
- Lihua Gu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
- *Correspondence: Lihua Gu
| | - Hao Shu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yanjuan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Hui Xu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
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10
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Marín‐Lahoz J, Martinez‐Horta S, Pagonabarraga J, Horta‐Barba A, Aracil‐Bolaños I, Bejr‐kasem H, Sampedro F, Campolongo A, Kulisevsky J. Predicting Impulse Control Disorders in Parkinson’s disease through incentive biomarkers. Ann Neurol 2022; 92:974-984. [DOI: 10.1002/ana.26486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/05/2022]
Affiliation(s)
- Juan Marín‐Lahoz
- Neurology Department Miguel Servet University Hospital Zaragoza Spain
- Instituto de Investigación Sanitaria de Aragón Zaragoza Spain
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
| | - Saül Martinez‐Horta
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Javier Pagonabarraga
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Andrea Horta‐Barba
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Ignacio Aracil‐Bolaños
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Helena Bejr‐kasem
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Frederic Sampedro
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Antonia Campolongo
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
| | - Jaime Kulisevsky
- Universitat Autònoma de Barcelona (U.A.B.), Medicine Department Barcelona Spain
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital Barcelona Spain
- Institut d´Investigacions Biomèdiques‐ Sant Pau (IIB‐Sant Pau) Barcelona Spain
- Centro de Investigación en Red‐Enfermedades Neurodegenerativas (CIBERNED) Spain
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11
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Neural correlates of risky decision making in Parkinson’s disease patients with impulse control disorders. Exp Brain Res 2022; 240:2241-2253. [PMID: 35852565 PMCID: PMC10161684 DOI: 10.1007/s00221-022-06423-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/12/2022] [Indexed: 11/04/2022]
Abstract
Some patients with Parkinson's disease (PD) experience impulse control disorders (ICDs), characterized by deficient voluntary control over impulses, drives, or temptations regarding excessive hedonic behavior. The present study aimed to better understand the neural basis of impulsive, risky decision making in PD patients with ICDs by disentangling potential dysfunctions in decision and outcome mechanisms. We collected fMRI data from 20 patients with ICDs and 28 without ICDs performing an information gathering task. Patients viewed sequences of bead colors drawn from hidden urns and were instructed to infer the majority bead color in each urn. With each new bead, they could choose to either seek more evidence by drawing another bead (draw choice) or make an urn-inference (urn choice followed by feedback). We manipulated risk via the probability of bead color splits (80/20 vs. 60/40) and potential loss following an incorrect inference ($10 vs. $0). Patients also completed the Barratt Impulsiveness Scale (BIS) to assess impulsivity. Patients with ICDs showed greater urn choice-specific activation in the right middle frontal gyrus, overlapping the dorsal premotor cortex. Across all patients, fewer draw choices (i.e., more impulsivity) were associated with greater activation during both decision making and outcome processing in a variety of frontal and parietal areas, cerebellum, and bilateral striatum. Our findings demonstrate that ICDs in PD are associated with differences in neural processing of risk-related information and outcomes, implicating both reward and sensorimotor dopaminergic pathways.
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12
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Bai Y, Diao Y, Gan L, Zhuo Z, Yin Z, Hu T, Cheng D, Xie H, Wu D, Fan H, Zhang Q, Duan Y, Meng F, Liu Y, Jiang Y, Zhang J. Deep Brain Stimulation Modulates Multiple Abnormal Resting-State Network Connectivity in Patients With Parkinson’s Disease. Front Aging Neurosci 2022; 14:794987. [PMID: 35386115 PMCID: PMC8978802 DOI: 10.3389/fnagi.2022.794987] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/08/2022] [Indexed: 12/12/2022] Open
Abstract
Background Deep brain stimulation (DBS) improves motor and non-motor symptoms in patients with Parkinson’s disease (PD). Researchers mainly investigated the motor networks to reveal DBS mechanisms, with few studies extending to other networks. This study aimed to investigate multi-network modulation patterns using DBS in patients with PD. Methods Twenty-four patients with PD underwent 1.5 T functional MRI (fMRI) scans in both DBS-on and DBS-off states, with twenty-seven age-matched healthy controls (HCs). Default mode, sensorimotor, salience, and left and right frontoparietal networks were identified by using the independent component analysis. Power spectra and functional connectivity of these networks were calculated. In addition, multiregional connectivity was established from 15 selected regions extracted from the abovementioned networks. Comparisons were made among groups. Finally, correlation analyses were performed between the connectivity changes and symptom improvements. Results Compared with HCs, PD-off showed abnormal power spectra and functional connectivity both within and among these networks. Some of the abovementioned abnormalities could be corrected by DBS, including increasing the power spectra in the sensorimotor network and modulating the parts of the ipsilateral functional connectivity in different regions centered in the frontoparietal network. Moreover, the DBS-induced functional connectivity changes were correlated with motor and depression improvements in patients with PD. Conclusion DBS modulated the abnormalities in multi-networks. The functional connectivity alterations were associated with motor and psychiatric improvements in PD. This study lays the foundation for large-scale brain network research on multi-network DBS modulation.
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Affiliation(s)
- Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Diao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lu Gan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dan Cheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Quan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangang Meng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Yaou Liu,
| | - Yin Jiang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing, China
- Yin Jiang,
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
- Jianguo Zhang,
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13
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Austgen G, Marsh L. Cognitive dysfunction and neuropsychiatric aspects of Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:59-90. [PMID: 35248207 DOI: 10.1016/bs.pbr.2022.01.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Movement abnormalities, by definition, and cognitive changes, to varying extents, affect every patient with Parkinson's disease (PD) and are attributed to the underlying neurodegenerative disease. Various psychiatric disorders occur in most patients at some point over the course of PD, including in the prodromal phase. Even though psychiatric disturbances tend to aggravate motor and cognitive deficits, they are under-recognized and under-treated, and the role of the underlying neurological disease is often minimized. To provide an integrated approach to understanding neuropsychiatric aspects of PD, this chapter reviews how cognitive changes in PD relate to the common psychiatric disturbances in PD along with the prevalence, phenomenology, pathophysiology, and treatment of each.
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Affiliation(s)
- Gabriela Austgen
- Behavioral Neurology & Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Laura Marsh
- Mental Health Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Professor, Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences and Department of Neurology, Baylor College of Medicine, Houston, TX, United States.
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14
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Takeshige-Amano H, Hatano T, Kamagata K, Andica C, Uchida W, Abe M, Ogawa T, Shimo Y, Oyama G, Umemura A, Ito M, Hori M, Aoki S, Hattori N. White matter microstructures in Parkinson's disease with and without impulse control behaviors. Ann Clin Transl Neurol 2022; 9:253-263. [PMID: 35137566 PMCID: PMC8935280 DOI: 10.1002/acn3.51504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 11/20/2021] [Accepted: 12/28/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Impulse control behaviors (ICBs) in Parkinson's disease (PD) are thought to be caused by an overdose of dopaminergic therapy in the relatively spared ventral striatum, or by hypersensitivity of this region to dopamine. Alterations in brain networks are now also thought to contribute to the development of ICBs. OBJECTIVE To comprehensively assess white matter microstructures in PD patients with ICBs using advanced diffusion MRI and magnetization transfer saturation (MT-sat) imaging. METHODS This study included 19 PD patients with ICBs (PD-ICBs), 18 PD patients without ICBs (PD-nICBs), and 20 healthy controls (HCs). Indices of diffusion tensor imaging (DTI), diffusion kurtosis imaging, neurite orientation dispersion and density imaging, and MT-sat imaging were evaluated using tract-based spatial statistics (TBSS), regions of interest (ROIs), and tract-specific analysis (TSA). RESULTS Compared with HCs, PD-nICBs had significant alterations in many major white matter tracts in most parameters. In contrast, PD-ICBs had only partial changes in several parameters. Compared with PD-ICBs, TBSS, ROI, and TSA analyses revealed that PD-nICBs had lower axial kurtosis, myelin volume fraction, and orientation dispersion index in the uncinate fasciculus and external capsule, as well as in the retrolenticular part of the internal capsule. These are components of the reward system and the visual and emotional perception areas, respectively. INTERPRETATION Myelin and axonal changes in fibers related to the reward system and visual emotional recognition might be more prominent in PD-nICBs than in PD-ICBs.
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Affiliation(s)
- Haruka Takeshige-Amano
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan.,Department of Neurology, Juntendo University Nerima Hospital, 3-1-10 Takanodai Nerima-ku, Tokyo, 1778521, Japan
| | - Taku Hatano
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Christina Andica
- Department of Radiology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Masahiro Abe
- Department of Radiology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Takashi Ogawa
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Yasushi Shimo
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan.,Department of Neurology, Juntendo University Nerima Hospital, 3-1-10 Takanodai Nerima-ku, Tokyo, 1778521, Japan
| | - Genko Oyama
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Atsushi Umemura
- Department of Neurosurgery, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Masanobu Ito
- Department of Psychiatry, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, 6-11-1 Omorinishi, Ota-ku, Tokyo, 1438540, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 1138421, Japan
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15
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Decision Making Under Uncertainty In Parkinson’s Disease With Rem Sleep Behavior Disorder. Sleep Med 2022; 90:214-221. [DOI: 10.1016/j.sleep.2022.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 11/18/2022]
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Martín-Bastida A, Delgado-Alvarado M, Navalpotro-Gómez I, Rodríguez-Oroz MC. Imaging Cognitive Impairment and Impulse Control Disorders in Parkinson's Disease. Front Neurol 2021; 12:733570. [PMID: 34803882 PMCID: PMC8602579 DOI: 10.3389/fneur.2021.733570] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/28/2021] [Indexed: 12/04/2022] Open
Abstract
Dementia and mild forms of cognitive impairment as well as neuropsychiatric symptoms (i. e., impulse control disorders) are frequent and disabling non-motor symptoms of Parkinson's disease (PD). The identification of changes in neuroimaging studies for the early diagnosis and monitoring of the cognitive and neuropsychiatric symptoms associated with Parkinson's disease, as well as their pathophysiological understanding, are critical for the development of an optimal therapeutic approach. In the current literature review, we present an update on the latest structural and functional neuroimaging findings, including high magnetic field resonance and radionuclide imaging, assessing cognitive dysfunction and impulse control disorders in PD.
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Affiliation(s)
- Antonio Martín-Bastida
- Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.,CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, Pamplona, Spain
| | | | - Irene Navalpotro-Gómez
- Cognitive Impairment and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain.,Clinical and Biological Research in Neurodegenerative Diseases, Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (IMIM), Barcelona, Spain.,Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - María Cruz Rodríguez-Oroz
- Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.,CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, Pamplona, Spain.,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
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17
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Dolatshahi M, Ashraf-Ganjouei A, Wu IW, Zhang Y, Aarabi MH, Tosun D. White matter changes in drug-naïve Parkinson's disease patients with impulse control & probable REM sleep behavior disorders. J Neurol Sci 2021; 430:120032. [PMID: 34688191 DOI: 10.1016/j.jns.2021.120032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 09/24/2021] [Accepted: 10/15/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND According to epidemiological studies, Parkinson's disease (PD) patients with probable REM sleep behavior disorder (pRBD) are more prone to develop impulse control disorders (ICDs), which is shown to be present in drug-naïve PD patients, and vice versa. OBJECTIVES To investigate white-matter integrity differences, with and without comorbid pRBD and ICDs. METHODS 149 de-novo PD patients and 30 age- and gender-matched controls from the Parkinson's Progression Markers Initiative were studied. PD subjects were categorized into four groups with and without these comorbidities. We investigated the white matter integrity differences between these groups. RESULTS PDs with only ICDs manifested greater fractional anisotropy (FA) and lower mean diffusivity (MD) in ipsilateral cerebellar connections when compared to controls and to Parkinson's with both comorbid disorders. In contrast, significantly lower FA and higher MD in the ipsilateral fornix-stria-terminalis was observed in PDs with only pRBD compared to controls and to PDs without either comorbid disorder. Also, PDs with only pRBD manifested greater FA in contralateral putamen when compared to controls. CONCLUSIONS Our results suggest the presence of an underlying neural network in PDs with ICDs, particularly involving cerebellar connections, which makes the subjects susceptible to pRBD. Lower white-matter integrity in the fornix of PDs with only pRBD suggests a neuropathological pathway specific to sleep behavior disorder, independent of impulse control disorders. Greater white-matter integrity observed in PDs without comorbid ICDs, regardless of their comorbid pRBD status, might reflect compensatory mechanisms. Targeted therapies for this particular neuropathology may help prevent these comorbidities.
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Affiliation(s)
- Mahsa Dolatshahi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran; NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
| | | | - I-Wei Wu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Yu Zhang
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Mohammad Hadi Aarabi
- Department of Neuroscience, Padova Neuroscience Center (PNC), University of Padova, Padova, Italy
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
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18
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Zhu X, Liu L, Xiao Y, Li F, Huang Y, Han D, Yang C, Pan S. Abnormal Topological Network in Parkinson's Disease With Impulse Control Disorders: A Resting-State Functional Magnetic Resonance Imaging Study. Front Neurosci 2021; 15:651710. [PMID: 34497483 PMCID: PMC8419312 DOI: 10.3389/fnins.2021.651710] [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: 01/10/2021] [Accepted: 07/23/2021] [Indexed: 11/26/2022] Open
Abstract
In recent years, neuroimaging evidence shows that the brains of Parkinson disease (PD) with impulse control disorders (ICDs) patients have functional disconnection changes. However, so far, it is still unclear whether the topological organization is damaged in PD patients with ICD. In this study, we aimed to explore the functional brain network in 18 patients with PD with ICDs (PD-ICD) and 18 patients with PD without ICDs (PD-nICD) by using functional magnetic resonance imaging and graph theory approach. We found that the PD-ICD patients had increased clustering coefficient and characteristic path length, while decreased small-world index compared with PD-nICD patients. Furthermore, we explored the hypothesis whether the abnormality of the small-world network parameters of PD-ICD patients is accompanied by the change of nodal centrality. As we hypothesized, the nodal centralities of the default mode network, control network, and dorsal attention network were found to be significantly damaged in the PD-ICD group compared with the PD-nICD group. Our study provides more evidence for PD-ICD patients' brain network abnormalities from the perspective of information exchange, which may be the underlying pathophysiological basis of brain abnormalities in PD-ICD patients.
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Affiliation(s)
- Xiaopeng Zhu
- Department of Neurosurgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Langsha Liu
- Department of Cardiac Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Xiao
- Department of Day Surgery Center, Zhuzhou Central Hospital, Zhuzhou, China
| | - Fan Li
- Department of Neurosurgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Yongkai Huang
- Department of Neurosurgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Deqing Han
- Department of Neurosurgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Chun Yang
- Department of Neurosurgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Sian Pan
- Department of Rehabilitation Medicine, Zhuzhou Central Hospital, Zhuzhou, China
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19
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Mata-Marín D, Pineda-Pardo JA, Molina JA, Vela L, Alonso-Frech F, Obeso I. Aberrant Salient and Corticolimbic Connectivity in Hypersexual Parkinson's Disease. Brain Connect 2021; 11:639-650. [PMID: 33813866 DOI: 10.1089/brain.2020.0868] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Introduction: Impulse control disorders (ICDs) represent a side effect of dopaminergic medication in Parkinson's disease (PD). Patients experience an excessive desire toward natural rewards paired with uncontrolled actions. Yet, the precise neural and behavioral mechanisms associated with ICDs and, importantly, each specific subdomain remain unclear. We aim to decipher resting-state and corticolimbic functional connectivity in PD patients with and without hypersexual ICD. Materials and Methods: Seventeen PD patients with hypersexuality (PD+HS) and 15 PD patients without hypersexuality (PD-HS) underwent two sessions (with and without medication) of resting-state functional magnetic resonance imaging and were compared with 17 healthy controls. Dual-regression independent component analyses extracted salience, sensorimotor, default-mode, and central executive networks. Seed-based functional connectivity with three striatal subdivisions (motor, associative, and limbic) was obtained and significant changes were correlated with key impulsivity and inhibitory measures. Results: Enhanced salience network (SN) activity represented by a significant rise in the right inferior frontal gyrus was found in PD+HS compared with PD-HS. Connectivity analyses revealed a functional disconnection between associative and limbic striatum with precuneus and superior parietal lobe in PD+HS, some connections explained by abnormal sexual behavior and inhibition in PD+HS. Conclusions: Hypersexual ICD is associated with enhanced SN signaling and corticolimbic disconnections, including striatal associative and limbic loops that contribute to altered control of sexually driven behavior and overall severity in PD and ICD.
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Affiliation(s)
- David Mata-Marín
- HM Hospitales-Centro Integral en Neurociencias, HM CINAC, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto Carlos III, Madrid, Spain
| | - José A Pineda-Pardo
- HM Hospitales-Centro Integral en Neurociencias, HM CINAC, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto Carlos III, Madrid, Spain
| | | | - Lydia Vela
- HM Hospitales-Centro Integral en Neurociencias, HM CINAC, Madrid, Spain.,Hospital Fundación Alcorcón, Madrid, Spain
| | - Fernando Alonso-Frech
- HM Hospitales-Centro Integral en Neurociencias, HM CINAC, Madrid, Spain.,Hospital Clínico San Carlos, Madrid, Spain
| | - Ignacio Obeso
- HM Hospitales-Centro Integral en Neurociencias, HM CINAC, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto Carlos III, Madrid, Spain
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20
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Tinaz S. Functional Connectome in Parkinson's Disease and Parkinsonism. Curr Neurol Neurosci Rep 2021; 21:24. [PMID: 33817766 DOI: 10.1007/s11910-021-01111-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE OF REVIEW There has been an exponential growth in functional connectomics research in neurodegenerative disorders. This review summarizes the recent findings and limitations of the field in Parkinson's disease (PD) and atypical parkinsonian syndromes. RECENT FINDINGS Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.
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Affiliation(s)
- Sule Tinaz
- Department of Neurology, Division of Movement Disorders, Yale University School of Medicine, 15 York St, LCI 710, New Haven, CT, 06510, USA.
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21
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Augustine A, Winstanley CA, Krishnan V. Impulse Control Disorders in Parkinson's Disease: From Bench to Bedside. Front Neurosci 2021; 15:654238. [PMID: 33790738 PMCID: PMC8006437 DOI: 10.3389/fnins.2021.654238] [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: 01/15/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022] Open
Abstract
Parkinson’s disease (PD) is a neurodegenerative disorder that is characterized by symptoms that impact both motor and non-motor domains. Outside of motor impairments, PD patients are at risk for impulse control disorders (ICDs), which include excessively disabling impulsive and compulsive behaviors. ICD symptoms in PD (PD + ICD) can be broadly conceptualized as a synergistic interaction between dopamine agonist therapy and the many molecular and circuit-level changes intrinsic to PD. Aside from discontinuing dopamine agonist treatment, there remains a lack of consensus on how to best address ICD symptoms in PD. In this review, we explore recent advances in the molecular and neuroanatomical mechanisms underlying ICD symptoms in PD by summarizing a rapidly accumulating body of clinical and preclinical studies, with a special focus on the utility of rodent models in gaining new insights into the neurochemical basis of PD + ICD. We also discuss the relevance of these findings to the broader problem of impulsive and compulsive behaviors that impact a range of neuropsychiatric syndromes.
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Affiliation(s)
- Andrea Augustine
- Department of BioSciences, Rice University, Houston, TX, United States
| | - Catharine A Winstanley
- Department of Psychology, Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada
| | - Vaishnav Krishnan
- Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
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22
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Micheli F, Vissani M, Pecchioli G, Terenzi F, Ramat S, Mazzoni A. Impulsivity Markers in Parkinsonian Subthalamic Single-Unit Activity. Mov Disord 2021; 36:1435-1440. [PMID: 33453079 DOI: 10.1002/mds.28497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Impulsive-compulsive behaviors are common in Parkinson's disease (PD) patients. However, the basal ganglia dysfunctions associated with high impulsivity have not been fully characterized. The objective of this study was to identify the features associated with impulsive-compulsive behaviors in single neurons of the subthalamic nucleus (STN). METHODS We compared temporal and spectral features of 412 subthalamic neurons from 12 PD patients with impulsive-compulsive behaviors and 330 neurons from 12 PD patients without. Single-unit activities were extracted from exploratory microrecordings performed during deep brain stimulation (DBS) implant surgery in an OFF medication state. RESULTS Patients with impulsive-compulsive behaviors displayed decreased firing frequency during bursts and a larger fraction of tonic neurons combined with weaker beta coherence. Information carried by these features led to the identification of patients with impulsive-compulsive behaviors with an accuracy greater than 80%. CONCLUSIONS Impulsive-compulsive behaviors in PD patients are associated with decreased bursts in STN neurons in the OFF medication state. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Federico Micheli
- The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.,Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Matteo Vissani
- The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.,Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Guido Pecchioli
- Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, Italy
| | - Federica Terenzi
- Dipartimento di Neuroscienze, Psicologia, Università degli Studi di Firenze, Area del Farmaco e Salute del Bambino, Florence, Italy
| | - Silvia Ramat
- Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, Italy
| | - Alberto Mazzoni
- The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.,Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
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23
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De Micco R, Satolli S, Siciliano M, Di Nardo F, Caiazzo G, Russo A, Giordano A, Esposito F, Tedeschi G, Tessitore A. Connectivity Correlates of Anxiety Symptoms in Drug-Naive Parkinson's Disease Patients. Mov Disord 2020; 36:96-105. [PMID: 33169858 DOI: 10.1002/mds.28372] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 10/12/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Anxiety symptoms are common in Parkinson's disease (PD). A link between anxiety and cognitive impairment in PD has been demonstrated. OBJECTIVES Using resting-state functional magnetic resonance imaging, we investigated intrinsic brain network connectivity correlates of anxiety symptoms in a cohort of drug-naive, cognitively unimpaired patients with PD. METHODS The intrinsic functional brain connectivity of 25 drug-naive, cognitively unimpaired PD patients with anxiety, 25 without anxiety, and 20 matched healthy controls was compared. All patients underwent a detailed behavioral and neuropsychological evaluation. Anxiety presence and severity were assessed using the Parkinson's Disease Anxiety Scale. Single-subject and group-level independent component analyses were used to investigate functional connectivity differences within and between the major resting-state networks. RESULTS Decreased connectivity within the default-mode and sensorimotor networks (SMN), increased connectivity within the executive-control network (ECN), and divergent connectivity measures within salience and frontoparietal networks (SN and FPN) were detected in PD patients with anxiety compared with those without anxiety. Moreover, patients with anxiety showed a disrupted inter-network connectivity between SN and SMN, ECN, and FPN. Anxiety severity was correlated with functional abnormalities within these networks. CONCLUSIONS Our findings demonstrated that an abnormal intrinsic connectivity within and between the most reported large-scale networks may represent a potential neural correlate of anxiety symptoms in drug-naive PD patients even in the absence of clinically relevant cognitive impairment. We hypothesize that these specific cognitive and limbic network architecture changes may represent a potential biomarker of treatment response in clinical trials. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Rosa De Micco
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Sara Satolli
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,Neuropsychology Laboratory, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giuseppina Caiazzo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Antonio Russo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alfonso Giordano
- First Division of Neurology and Neurophysiology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Fabrizio Esposito
- Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, University of Salerno, Baronissi, Italy
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandro Tessitore
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy
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24
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Workewych AM, Arski ON, Mithani K, Ibrahim GM. Biomarkers of seizure response to vagus nerve stimulation: A scoping review. Epilepsia 2020; 61:2069-2085. [PMID: 32862454 DOI: 10.1111/epi.16661] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 07/27/2020] [Accepted: 07/28/2020] [Indexed: 12/13/2022]
Abstract
Although vagus nerve stimulation (VNS) is a common procedure, seizure outcomes are heterogeneous, with few available means to preoperatively identify the ideal surgical candidate. Here, we perform a scoping review of the literature to identify biomarkers of VNS response in patients with drug-resistant epilepsy. Several databases (Ovid MEDLINE, Ovid Embase, BIOSIS Previews, and Web of Science) were searched for all relevant articles that reported at least one biomarker of VNS response following implantation for intractable epilepsy. Patient demographics, seizure data, and details related to biomarkers were abstracted from all studies. From the 288 records screened, 28 articles reporting on 16 putative biomarkers were identified. These were grouped into four categories: network/connectomic-based biomarkers, electrophysiological signatures, structural findings on neuroimaging, and systemic assays. Differences in brain network organization, connectivity, and electrophysiological synchronicity demonstrated the most robust ability to identify VNS responders. Structural findings on neuroimaging yielded inconsistent associations with VNS responsiveness. With regard to systemic biomarkers, heart rate variability was shown to be an independent marker of VNS response, whereas inflammatory markers were not useful. There is an unmet need to preoperatively identify candidates who are likely to benefit from VNS. Several biomarkers demonstrate promise in predicting seizure responsiveness to VNS, particularly measures of brain network connectivity. Further efforts are required to validate existing biomarkers to inform clinical decision-making.
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Affiliation(s)
- Adriana M Workewych
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Olivia N Arski
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Karim Mithani
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - George M Ibrahim
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Division of Neurosurgery, Department of Surgery, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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25
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Kirschner M, Rabinowitz A, Singer N, Dagher A. From apathy to addiction: Insights from neurology and psychiatry. Prog Neuropsychopharmacol Biol Psychiatry 2020; 101:109926. [PMID: 32171904 DOI: 10.1016/j.pnpbp.2020.109926] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 03/11/2020] [Accepted: 03/11/2020] [Indexed: 12/21/2022]
Abstract
The tendency to engage in addictive behaviors has long been tied to the actions of the dopamine system. Early theories were based on the fact that all addictive drugs and behaviors (such as gambling) increase dopamine levels in the striatum, and the evidence that dopamine signaled reward or reward prediction error. However, with a changing emphasis of addiction away from purely pharmacological models that emphasize tolerance and withdrawal, towards one of behavioral dyscontrol, is there still a place for abnormal dopamine signaling in addiction? Here we recast the dopamine theory of addiction based on the idea that tonic dopamine may index a continuous phenotype that goes from apathy to impulsivity and compulsivity. Higher tonic dopamine signaling would make individuals vulnerable to drug reinforcement and cue-induced craving. We relate this to computational models of dopamine signaling, and review clinical and neuroimaging evidence from Parkinson's Disease, schizophrenia and bipolar disorder in support of this model.
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Affiliation(s)
- Matthias Kirschner
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Canada; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
| | - Arielle Rabinowitz
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Canada
| | - Neomi Singer
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Canada
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, Canada.
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26
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Kelly MJ, Baig F, Hu MTM, Okai D. Spectrum of impulse control behaviours in Parkinson's disease: pathophysiology and management. J Neurol Neurosurg Psychiatry 2020; 91:703-711. [PMID: 32354771 DOI: 10.1136/jnnp-2019-322453] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 12/27/2022]
Abstract
Impulse control behaviours (ICBs) are a range of behaviours linked by their reward-based, repetitive natures. They can be precipitated in Parkinson's disease (PD) by dopamine replacement therapy, often with detrimental consequences for patients and caregivers. While now a well-recognised non-motor feature of treated PD, much remains unknown about the influence of risk factors, pathophysiological mechanisms, vulnerability factors for specific types of behaviour and the optimal management strategies. Imaging studies have identified structural and functional changes in striatal and prefrontal brain regions, among others. Gene association studies indicate a role for genetic predisposition to PD-ICB. Clinical observational studies have identified potential modifiable and non-modifiable risk factors. Psychological studies shed light on the neurocognitive domains implicated in PD-ICBs and identify psychosocial determinants that may perpetuate the cycle of impulsive and harm-avoidance behaviours. Based on these results, a range of pharmacological and non-pharmacological management strategies have been trialled in PD-ICBs with varying success. The purpose of this review is to update clinicians on the evidence around the pathophysiology of PD-ICB. We aim to translate our findings into an interpretable biopsychosocial model that can be applied to the clinical assessment and management of individual cases of PD-ICB.
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Affiliation(s)
- Mark John Kelly
- School of Medicine, Trinity Centre for Health Sciences, Tallaght University Hospital, Trinity College, Dublin, Ireland .,Oxford Parkinson's Disease Centre, Division of Neurology, Nuffield Department of Clinical Neurosciences, Oxford, Oxfordshire, UK
| | - Fahd Baig
- Molecular and Clinical Sciences Research Centre, London, UK, University of London Saint George's, London, London, UK
| | - Michele Tao-Ming Hu
- Oxford Parkinson's Disease Centre, Division of Neurology, Nuffield Department of Clinical Neurosciences, Oxford, Oxfordshire, UK
| | - David Okai
- Neuropsychiatry Department, South London and Maudsley NHS Foundation Trust, London, London, UK.,Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, London, UK
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27
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Donzuso G, Agosta F, Canu E, Filippi M. MRI of Motor and Nonmotor Therapy-Induced Complications in Parkinson's Disease. Mov Disord 2020; 35:724-740. [PMID: 32181946 DOI: 10.1002/mds.28025] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/27/2020] [Accepted: 02/28/2020] [Indexed: 12/28/2022] Open
Abstract
Levodopa therapy remains the most effective drug for the treatment of Parkinson's disease, and it is associated with the greatest improvement in motor function as assessed by the Unified Parkinson's Disease Rating Scale. Dopamine agonists have also proven their efficacy as monotherapy in early Parkinson's disease but also as adjunct therapy. However, the chronic use of dopaminergic therapy is associated with disabling motor and nonmotor side effects and complications, among which levodopa-induced dyskinesias and impulse control behaviors are the most common. The underlying mechanisms of these disorders are not fully understood. In the last decade, classic neuroimaging methods and more sophisticated techniques, such as analysis of gray-matter structural imaging and functional magnetic resonance imaging, have given access to anatomical and functional abnormalities, respectively, in the brain. This review presents an overview of structural and functional brain changes associated with motor and nonmotor therapy-induced complications in Parkinson's disease. Magnetic resonance imaging may offer structural and/or functional neuroimaging biomarkers that could be used as predictive signs of development, maintenance, and progression of these complications. Neurophysiological tools, such as theta burst stimulation and transcranial magnetic stimulation, might help us to integrate neuroimaging findings and clinical features and could be used as therapeutic options, translating neuroimaging data into clinical practice. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Giulia Donzuso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Department "G.F. Ingrassia," Section of Neurosciences, University of Catania, Catania, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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28
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Marín-Lahoz J, Sampedro F, Horta-Barba A, Martínez-Horta S, Aracil-Bolaños I, Camacho V, Bejr-kasem H, Pascual-Sedano B, Pérez-Pérez J, Gironell A, Pagonabarraga J, Carrió I, Kulisevsky J. Preservation of brain metabolism in recently diagnosed Parkinson’s impulse control disorders. Eur J Nucl Med Mol Imaging 2020; 47:2165-2174. [DOI: 10.1007/s00259-019-04664-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 12/16/2019] [Indexed: 12/16/2022]
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Abstract
Parkinson's disease (PD) is a chronic, debilitating neurodegenerative disorder characterized clinically by a variety of progressive motor and nonmotor symptoms. Currently, there is a dearth of diagnostic tools available to predict, diagnose or mitigate disease risk or progression, leading to a challenging dilemma within the healthcare management system. The search for a reliable biomarker for PD that reflects underlying pathology is a high priority in PD research. Currently, there is no reliable single biomarker predictive of risk for motor and cognitive decline, and there have been few longitudinal studies of temporal progression. A combination of multiple biomarkers might facilitate earlier diagnosis and more accurate prognosis in PD. In this review, we focus on the recent developments of serial biomarkers for PD from a variety of clinical, biochemical, genetic and neuroimaging perspectives.
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Affiliation(s)
- Anastasia Bougea
- Neurochemistry Laboratory, 1st Department of Neurology and Movement Disorders, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece; Neuroscience Laboratory, Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
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30
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Disrupted salience network dynamics in Parkinson's disease patients with impulse control disorders. Parkinsonism Relat Disord 2019; 70:74-81. [PMID: 31881521 DOI: 10.1016/j.parkreldis.2019.12.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 10/15/2019] [Accepted: 12/15/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Dynamic functional network analysis may add relevant information about the temporal nature of the neurocognitive alterations in PD patients with impulse control disorders (PD-ICD). Our aim was to investigate changes in dynamic functional network connectivity (dFNC) in PD-ICD patients, and topological properties of such networks. METHODS Resting state fMRI was performed on 16 PD PD-ICD patients, 20 PD patients without ICD and 17 healthy controls, whose demographic, clinical and behavioral scores were assessed. We conducted a group spatial independent component analysis, sliding window and graph-theory analyses. RESULTS PD-ICD patients, in contrast to PD-noICD and HC subjects, were engaged across time in a brain configuration pattern characterized by a lack of between-network connections at the expense of strong within-network connections (State III) in temporal, frontoinsular and cingulate cortices, all key nodes of the salience network. Moreover, this increased maintenance of State III in PD-ICD patients was positively correlated with the severity of impulsivity and novelty seeking as measured by specific scales. While in State III, these patients also exhibited increased local efficiency in all the aforementioned areas. CONCLUSIONS Our findings show for the first time that PD-ICD patients have a dynamic functional engagement of local connectivity involving the limbic circuit, leading to the inefficient modulation in emotional processing and reward-related decision-making. These results provide new insights into the pathophysiology of ICD in PD patients and indicate that the dFC study of fMRI could be a useful biomarker to identify patients at risk to develop ICD.
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31
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Neural bases of impulse control disorders in Parkinson’s disease: A systematic review and an ALE meta-analysis. Neurosci Biobehav Rev 2019; 107:672-685. [DOI: 10.1016/j.neubiorev.2019.09.041] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/24/2019] [Accepted: 09/28/2019] [Indexed: 12/16/2022]
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32
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Kubera KM, Schmitgen MM, Nagel S, Hess K, Herweh C, Hirjak D, Sambataro F, Wolf RC. A search for cortical correlates of trait impulsivity in Parkinson´s disease. Behav Brain Res 2019; 369:111911. [DOI: 10.1016/j.bbr.2019.111911] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 03/27/2019] [Accepted: 04/12/2019] [Indexed: 12/16/2022]
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33
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Girard R, Obeso I, Thobois S, Park SA, Vidal T, Favre E, Ulla M, Broussolle E, Krack P, Durif F, Dreher JC. Wait and you shall see: sexual delay discounting in hypersexual Parkinson's disease. Brain 2019; 142:146-162. [PMID: 30590514 DOI: 10.1093/brain/awy298] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 10/04/2018] [Indexed: 02/02/2023] Open
Abstract
Patients with Parkinson's disease may develop impulse control disorders under dopaminergic treatments. Impulse control disorders include a wide spectrum of behaviours, such as hypersexuality, pathological gambling or compulsive shopping. Yet, the neural systems engaged in specific impulse control disorders remain poorly characterized. Here, using model-based functional MRI, we aimed to determine the brain systems involved during delay-discounting of erotic rewards in hypersexual patients with Parkinson's disease (PD+HS), patients with Parkinson's disease without hypersexuality (PD - HS) and controls. Patients with Parkinson's disease were evaluated ON and OFF levodopa (counterbalanced). Participants had to decide between two options: (i) wait for 1.5 s to briefly view an erotic image; or (ii) wait longer to see the erotic image for a longer period of time. At the time of decision-making, we investigated which brain regions were engaged with the subjective valuation of the delayed erotic reward. At the time of the rewarded outcome, we searched for the brain regions responding more robustly after waiting longer to view the erotic image. PD+HS patients showed reduced discounting of erotic delayed rewards, compared to both patients with Parkinson's disease and controls, suggesting that they accepted waiting longer to view erotic images for a longer period of time. Thus, when using erotic stimuli that motivate PD+HS, these patients were less impulsive for the immediate reward. At the brain system level, this effect was paralleled by the fact that PD+HS, as compared to controls and PD - HS, showed a negative correlation between subjective value of the delayed reward and activity of medial prefrontal cortex and ventral striatum. Consistent with the incentive salience hypothesis combining learned cue-reward associations with current relevant physiological state, dopaminergic treatment in PD+HS boosted excessive 'wanting' of rewards and heightened activity in the anterior medial prefrontal cortex and the posterior cingulate cortex, as reflected by higher correlation with subjective value of the option associated to the delayed reward when ON medication as compared to the OFF medication state. At the time of outcome, the anterior medial prefrontal/rostral anterior cingulate cortex showed an interaction between group (PD+HS versus PD - HS) and medication (ON versus OFF), suggesting that dopaminergic treatment boosted activity of this brain region in PD+HS when viewing erotic images after waiting for longer periods of time. Our findings point to reduced delay discounting of erotic rewards in PD+HS, both at the behavioural and brain system levels, and abnormal reinforcing effect of levodopa when PD+HS patients are confronted with erotic stimuli.10.1093/brain/awy298_video1awy298media15983845074001.
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Affiliation(s)
- Romuald Girard
- Neuroeconomics, Reward and Decision-making Team, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France.,University Claude Bernard Lyon, Lyon 1, Villeurbanne, France.,Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Ignacio Obeso
- Neuroeconomics, Reward and Decision-making Team, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France.,University Claude Bernard Lyon, Lyon 1, Villeurbanne, France.,HM Hospitales - Centro Integral en Neurociencias HM CINAC, Móstoles, Madrid, Spain
| | - Stéphane Thobois
- Université de Lyon, Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Sud Charles Mérieux, Oullins, France.,Neurologie C, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France.,Physiopathology of basal ganglia, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France
| | - Seongmin A Park
- Neuroeconomics, Reward and Decision-making Team, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France.,University Claude Bernard Lyon, Lyon 1, Villeurbanne, France
| | - Tiphaine Vidal
- Neurology Department, CHU de Clermont-Ferrand, Clermont-Ferrand, France.,University Clermont Auvergne, Clermont Ferrand, France
| | - Emilie Favre
- Neurologie C, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France
| | - Miguel Ulla
- Neurology Department, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Emmanuel Broussolle
- University Claude Bernard Lyon, Lyon 1, Villeurbanne, France.,Neurologie C, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France.,Physiopathology of basal ganglia, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France
| | - Paul Krack
- University Grenoble Alpes, Grenoble Institut des Neurosciences, Grenoble, France, Inserm, Grenoble, France.,Movement Disorders Unit, Neurology Department, CHU de Grenoble, Grenoble, France
| | - Franck Durif
- Neurology Department, CHU de Clermont-Ferrand, Clermont-Ferrand, France.,University Clermont Auvergne, Clermont Ferrand, France
| | - Jean-Claude Dreher
- Neuroeconomics, Reward and Decision-making Team, Institut des Sciences Cognitives Marc Jeannerod, Centre National de la Recherche Scientifique, UMR 5229, Bron, France.,University Claude Bernard Lyon, Lyon 1, Villeurbanne, France
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34
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Pelzer EA, Florin E, Schnitzler A. Quantitative Susceptibility Mapping and Resting State Network Analyses in Parkinsonian Phenotypes-A Systematic Review of the Literature. Front Neural Circuits 2019; 13:50. [PMID: 31447651 PMCID: PMC6691025 DOI: 10.3389/fncir.2019.00050] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 07/17/2019] [Indexed: 11/13/2022] Open
Abstract
An imbalance of iron metabolism with consecutive aggregation of α-synuclein and axonal degeneration of neurons has been postulated as the main pathological feature in the development of Parkinson’s disease (PD). Quantitative susceptibility mapping (QSM) is a new imaging technique, which enables to measure structural changes caused by defective iron deposition in parkinsonian brains. Due to its novelty, its potential as a new imaging technique remains elusive for disease-specific characterization of motor and non-motor symptoms (characterizing the individual parkinsonian phenotype). Functional network changes associated with these symptoms are however frequently described for both magnetoencephalography (MEG) and resting state functional magnetic imaging (rs-fMRI). Here, we performed a systematic review of the current literature about QSM imaging, MEG and rs-fMRI in order to collect existing data about structural and functional changes caused by motor and non-motor symptoms in PD. Whereas all three techniques provide an effect in the motor domain, the understanding of network changes caused by non-motor symptoms is much more lacking for MEG and rs-fMRI, and does not yet really exist for QSM imaging. In order to better understand the influence of pathological iron distribution onto the functional outcome, whole-brain QSM analyses should be integrated in functional analyses (especially for the non-motor domain), to enable a proper pathophysiological interpretation of MEG and rs-fMRI network changes in PD. Herewith, a better understanding of the relationship between neuropathological changes, functional network changes and clinical phenotype might become possible.
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Affiliation(s)
- Esther A Pelzer
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany.,Max-Planck Institute for Metabolism Research, Cologne, Germany
| | - Esther Florin
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany
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35
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Connectomics and molecular imaging in neurodegeneration. Eur J Nucl Med Mol Imaging 2019; 46:2819-2830. [PMID: 31292699 DOI: 10.1007/s00259-019-04394-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022]
Abstract
Our understanding on human neurodegenerative disease was previously limited to clinical data and inferences about the underlying pathology based on histopathological examination. Animal models and in vitro experiments have provided evidence for a cell-autonomous and a non-cell-autonomous mechanism for the accumulation of neuropathology. Combining modern neuroimaging tools to identify distinct neural networks (connectomics) with target-specific positron emission tomography (PET) tracers is an emerging and vibrant field of research with the potential to examine the contributions of cell-autonomous and non-cell-autonomous mechanisms to the spread of pathology. The evidence provided here suggests that both cell-autonomous and non-cell-autonomous processes relate to the observed in vivo characteristics of protein pathology and neurodegeneration across the disease spectrum. We propose a synergistic model of cell-autonomous and non-cell-autonomous accounts that integrates the most critical factors (i.e., protein strain, susceptible cell feature and connectome) contributing to the development of neuronal dysfunction and in turn produces the observed clinical phenotypes. We believe that a timely and longitudinal pursuit of such research programs will greatly advance our understanding of the complex mechanisms driving human neurodegenerative diseases.
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36
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Sossi V, Cheng JC, Klyuzhin IS. Imaging in Neurodegeneration: Movement Disorders. IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2019. [DOI: 10.1109/trpms.2018.2871760] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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37
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Gatto EM, Aldinio V. Impulse Control Disorders in Parkinson's Disease. A Brief and Comprehensive Review. Front Neurol 2019; 10:351. [PMID: 31057473 PMCID: PMC6481351 DOI: 10.3389/fneur.2019.00351] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 03/22/2019] [Indexed: 12/25/2022] Open
Abstract
Impulse control and related disorders (ICDs-RD) encompasses a heterogeneous group of disorders that involve pleasurable behaviors performed repetitively, excessively, and compulsively. The key common symptom in all these disorders is the failure to resist an impulse or temptation to control an act or specific behavior, which is ultimately harmful to oneself or others and interferes in major areas of life. The major symptoms of ICDs include pathological gambling (PG), hypersexualtiy (HS), compulsive buying/shopping (CB) and binge eating (BE) functioning. ICDs and ICDs-RD have been included in the behavioral spectrum of non-motor symptoms in Parkinson's disease (PD) leading, in some cases, to serious financial, legal and psychosocial devastating consequences. Herein we present the prevalence of ICDs, the risk factors, its pathophysiological mechanisms, the link with agonist dopaminergic therapies and therapeutic managements.
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Affiliation(s)
- Emilia M Gatto
- Department of Neurology, Sanatorio de la Trinidad Mitre, Buenos Aires, Argentina.,Instituto de Neurociencias Buenos Aires, Ineba, Buenos Aires, Argentina
| | - Victoria Aldinio
- Department of Neurology, Sanatorio de la Trinidad Mitre, Buenos Aires, Argentina
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38
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Network imaging biomarkers: insights and clinical applications in Parkinson's disease. Lancet Neurol 2019; 17:629-640. [PMID: 29914708 DOI: 10.1016/s1474-4422(18)30169-8] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 04/13/2018] [Accepted: 04/25/2018] [Indexed: 12/14/2022]
Abstract
Parkinson's disease presents several practical challenges: it can be difficult to distinguish from atypical parkinsonian syndromes, clinical ratings can be insensitive as markers of disease progression, and its non-motor manifestations are not readily assessed in animal models. These challenges, along with others, are beginning to be addressed by innovative imaging methods to characterise Parkinson's disease-specific functional networks across the whole brain and measure their expression in each patient. These signatures can help improve differential diagnosis, guide selection of patients for clinical trials, and quantify treatment responses and placebo effects in individual patients. The primary Parkinson's disease-related metabolic pattern has been replicated in multiple patient populations and used as an outcome measure in clinical trials. It can also be used as a predictor of near-term phenoconversion in prodromal syndromes, such as rapid eye movement sleep behaviour disorder. Functional network imaging holds great promise for future clinical use in the management of neurodegenerative disorders.
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39
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Weintraub D. Impulse control disorders in Parkinson's disease: A 20‐year odyssey. Mov Disord 2019; 34:447-452. [DOI: 10.1002/mds.27668] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 02/19/2019] [Accepted: 02/22/2019] [Indexed: 12/31/2022] Open
Affiliation(s)
- Daniel Weintraub
- Department of PsychiatryPerelman School of Medicine at the University of Pennsylvania Philadelphia Pennsylvania USA
- Parkinson's Disease and Mental Illness ResearchEducation and Clinical Centers, Corporal Michael J. Crescenz Veterans Affairs Medical Center Philadelphia Pennsylvania USA
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40
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Eisinger RS, Ramirez-Zamora A, Carbunaru S, Ptak B, Peng-Chen Z, Okun MS, Gunduz A. Medications, Deep Brain Stimulation, and Other Factors Influencing Impulse Control Disorders in Parkinson's Disease. Front Neurol 2019; 10:86. [PMID: 30863353 PMCID: PMC6399407 DOI: 10.3389/fneur.2019.00086] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 01/22/2019] [Indexed: 12/18/2022] Open
Abstract
Impulse control disorders (ICDs) in Parkinson's disease (PD) have a high cumulative incidence and negatively impact quality of life. ICDs are influenced by a complex interaction of multiple factors. Although it is now well-recognized that dopaminergic treatments and especially dopamine agonists underpin many ICDs, medications alone are not the sole cause. Susceptibility to ICD is increased in the setting of PD. While causality can be challenging to ascertain, a wide range of modifiable and non-modifiable risk factors have been linked to ICDs. Common characteristics of PD patients with ICDs have been consistently identified across many studies; for example, males with an early age of PD onset and dopamine agonist use have a higher risk of ICD. However, not all cases of ICDs in PD can be directly attributable to dopamine, and studies have concluded that additional factors such as genetics, smoking, and/or depression may be more predictive. Beyond dopamine, other ICD associations have been described but remain difficult to explain, including deep brain stimulation surgery, especially in the setting of a reduction in dopaminergic medication use. In this review, we will summarize the demographic, genetic, behavioral, and clinical contributions potentially influencing ICD onset in PD. These associations may inspire future preventative or therapeutic strategies.
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Affiliation(s)
- Robert S. Eisinger
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
| | - Adolfo Ramirez-Zamora
- Hospital Padre Hurtado, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Samuel Carbunaru
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
| | - Brandon Ptak
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
| | - Zhongxing Peng-Chen
- Hospital Padre Hurtado, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Michael S. Okun
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
- Department of Neurology, Fixel Center for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Aysegul Gunduz
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
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41
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Filippi M, Sarasso E, Agosta F. Resting-state Functional MRI in Parkinsonian Syndromes. Mov Disord Clin Pract 2019; 6:104-117. [PMID: 30838308 DOI: 10.1002/mdc3.12730] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 12/28/2018] [Accepted: 01/16/2019] [Indexed: 01/18/2023] Open
Abstract
Background Functional MRI (fMRI) has been widely used to study abnormal patterns of functional connectivity at rest in patients with movement disorders such as idiopathic Parkinson's disease (PD) and atypical parkinsonisms. Methods This manuscript provides an educational review of the current use of resting-state fMRI in the field of parkinsonian syndromes. Results Resting-state fMRI studies have improved the current knowledge about the mechanisms underlying motor and non-motor symptom development and progression in movement disorders. Even if its inclusion in clinical practice is still far away, resting-state fMRI has the potential to be a promising biomarker for early disease detection and prediction. It may also aid in differential diagnosis and monitoring brain responses to therapeutic agents and neurorehabilitation strategies in different movement disorders. Conclusions There is urgent need to identify and validate prodromal biomarkers in PD patients, to perform further studies assessing both overlapping and disease-specific fMRI abnormalities among parkinsonian syndromes, and to continue technical advances to fully realize the potential of fMRI as a tool to monitor the efficacy of chronic therapies.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
| | - Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Laboratory of Movement Analysis San Raffaele Scientific Institute Milan Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
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42
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Ramdave S, Dawson A, Carter A, Dissanayaka NNW. Unmasking neurobiological commonalities between addictive disorders and impulse control disorders in Parkinson’s disease. Brain Imaging Behav 2019; 14:2785-2798. [PMID: 30707344 DOI: 10.1007/s11682-019-00041-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Changes in reward circuitry have been studied extensively in substance and behavioural addictions. However, comparatively little is known about the neurobiology underlying impulse control disorders (ICDs) in Parkinson's disease, which show roughly similar risk factors and behavioural presentations to both stimulant and behavioural addictions. ICDs occur in a subset of susceptible patients with Parkinson's disease (PD) following intake of dopamine replacement therapy (DRT). These behavioural disorders often have debilitating effects on a patient's quality of life and increase caregiver burden. This comprehensive review examined findings of 40 neuroimaging studies of ICDs in PD to determine (a) whether there are putative neurobiological commonalities between traditional substance and behavioural addictions and DRT-induced ICD in PD and (b) opportunities for future studies to advance current neurobiological understanding of the phenomenon. Results revealed that strikingly similar (a) deficits in dopaminergic receptor expression, (b) connectivity changes in corticostriatal circuitry and (c) neural responses to cue exposure are observed in both ICDs in PD and addictive disorders. These findings point to the value of adopting a transdiagnostic approach when studying addicted populations and pave the way for demystifying this peculiar, often-devastating phenomenon in PD that has so far proven extremely difficult to treat and predict with any precision.
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Affiliation(s)
- Swathi Ramdave
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
- School of Psychology, The University of Queensland, Brisbane, Australia.
| | - Andrew Dawson
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Australia
| | - Adrian Carter
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Australia
| | - Nadeeka N W Dissanayaka
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- School of Psychology, The University of Queensland, Brisbane, Australia
- Department of Neurology, Royal Brisbane & Woman's Hospital, Brisbane, Australia
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43
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Niethammer M, Eidelberg D. Network Imaging in Parkinsonian and Other Movement Disorders: Network Dysfunction and Clinical Correlates. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 144:143-184. [DOI: 10.1016/bs.irn.2018.10.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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44
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A 7-year observation of the effect of subthalamic deep brain stimulation on impulse control disorder in patients with Parkinson's disease. Parkinsonism Relat Disord 2018; 56:3-8. [DOI: 10.1016/j.parkreldis.2018.07.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 06/12/2018] [Accepted: 07/19/2018] [Indexed: 11/18/2022]
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45
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De Micco R, Russo A, Tedeschi G, Tessitore A. Impulse Control Behaviors in Parkinson's Disease: Drugs or Disease? Contribution From Imaging Studies. Front Neurol 2018; 9:893. [PMID: 30410465 PMCID: PMC6209663 DOI: 10.3389/fneur.2018.00893] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 10/01/2018] [Indexed: 12/13/2022] Open
Abstract
Impulse control behaviors (ICB) are recognized as non-motor complications of dopaminergic medications in patients with Parkinson's disease (PD). Compelling evidence suggests that ICB are not merely due to the PD-related pathology itself. Several risk factors have been identified, either demographic, clinical, genetic or neuropsychological. Neuroimaging studies have yielded controversial results regarding ICB correlates in PD and still it is not clear whether they can be triggered by the PD biology or the dopaminergic treatment stimulation. We provided an overview of the imaging studies that offered the most relevant insights into the debate about the role of drugs and disease in ICB pathophysiology. Understanding neural correlates and potential predisposing factors of these severe neuropsychiatric symptoms will be crucial to guide clinical practice and to foster preventive strategies.
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Affiliation(s)
- Rosa De Micco
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli, " Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli, " Naples, Italy
| | - Antonio Russo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli, " Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli, " Naples, Italy
| | - Gioacchino Tedeschi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli, " Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli, " Naples, Italy
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli, " Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli, " Naples, Italy
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46
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Strafella AP, Bohnen NI, Pavese N, Vaillancourt DE, van Eimeren T, Politis M, Tessitore A, Ghadery C, Lewis S. Imaging Markers of Progression in Parkinson's Disease. Mov Disord Clin Pract 2018; 5:586-596. [PMID: 30637278 DOI: 10.1002/mdc3.12673] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/22/2018] [Accepted: 07/30/2018] [Indexed: 12/12/2022] Open
Abstract
Background Parkinson's disease (PD) is the second-most common neurodegenerative disorder after Alzheimer's disease; however, to date, there is no approved treatment that stops or slows down disease progression. Over the past decades, neuroimaging studies, including molecular imaging and MRI are trying to provide insights into the mechanisms underlying PD. Methods This work utilized a literature review. Results It is now becoming clear that these imaging modalities can provide biomarkers that can objectively detect brain changes related to PD and monitor these changes as the disease progresses, and these biomarkers are required to establish a breakthrough in neuroprotective or disease-modifying therapeutics. Conclusions Here, we provide a review of recent observations deriving from PET, single-positron emission tomography, and MRI studies exploring PD and other parkinsonian disorders.
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Affiliation(s)
- Antonio P Strafella
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Nico I Bohnen
- Department of Radiology & Neurology University of Michigan Ann Arbor Michigan USA.,Veterans Administration Ann Arbor Healthcare System Ann Arbor Michigan USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research University of Michigan Ann Arbor Michigan USA
| | - Nicola Pavese
- Newcastle Magnetic Resonance Centre & Positron Emission Tomography Centre Newcastle University, Campus for Ageing & Vitality Newcastle upon Tyne United Kingdom
| | - David E Vaillancourt
- Applied Physiology and Kinesiology, Biomedical Engineering, and Neurology University of Florida Gainesville Florida USA
| | - Thilo van Eimeren
- Department of Nuclear Medicine and Department of Neurology University of Cologne Cologne Germany.,Institute for Cognitive Neuroscience, Jülich Research Centre Jülich Germany.,German Center for Neurodegenerative Diseases (DZNE) Bonn-Cologne Bonn Germany
| | - Marios Politis
- Neurodegeneration Imaging Group (NIG), Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London London United Kingdom
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences-MRI Research Center SUN-FISM University of Campania "Luigi Vanvitelli" Naples Italy
| | - Christine Ghadery
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Simon Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre University of Sydney Sydney NSW Australia
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47
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De Micco R, Russo A, Tessitore A. Structural MRI in Idiopathic Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 141:405-438. [PMID: 30314605 DOI: 10.1016/bs.irn.2018.08.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
Among modern neuroimaging modalities, magnetic resonance imaging (MRI) is a widely available, non-invasive, and cost-effective method to detect structural and functional abnormalities related to neurodegenerative disorders. In the last decades, MRI have been widely implemented to support PD diagnosis as well as to provide further insights into motor and non-motor symptoms pathophysiology, complications and treatment-related effects. Different aspects of the brain morphology and function may be derived from a single scan, by applying different analytic approaches. Biomarkers of neurodegeneration as well as tissue microstructural changes may be extracted from structural MRI techniques. In this chapter, we analyze the role of structural imaging to differentiate PD patients from controls and to define neural substrates of motor and non-motor PD symptoms. Evidence collected in the premotor PD phase will be also critically discussed. White matter as well as gray matter integrity imaging studies has been reviewed, aiming to highlight points of strength and limits to their potential application in clinical settings.
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Affiliation(s)
- Rosa De Micco
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Antonio Russo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy.
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48
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Filippi M, Elisabetta S, Piramide N, Agosta F. Functional MRI in Idiopathic Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 141:439-467. [PMID: 30314606 DOI: 10.1016/bs.irn.2018.08.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Functional MRI (fMRI) has been widely used to study abnormal patterns of brain connectivity at rest and activation during a variety of tasks in patients with idiopathic Parkinson's disease (PD). fMRI studies in PD have led to a better understanding of many aspects of the disease including both motor and non-motor symptoms. Although its translation into clinical practice is still at an early stage, fMRI measures hold promise for multiple clinical applications in PD, including the early detection, predicting future change in clinical status, and as a marker of alterations in brain physiology related to neurotherapeutic agents and neurorehabilitative strategies.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Sarasso Elisabetta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy; Laboratory of Movement Analysis, San Raffaele Scientific Institute, Milan, Italy
| | - Noemi Piramide
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy
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49
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Abstract
Recent advances in disease understanding, instrumentation technology, and computationally demanding image analysis approaches are opening new frontiers in the investigation of movement disorders and brain disease in general. A key aspect is the recognition of the need to determine molecular correlates to early functional and metabolic connectivity alterations, which are increasingly recognized as useful signatures of specific clinical disease phenotypes. Such multi-modal approaches are highly likely to provide new information on pathogenic mechanisms and to help the identification of novel therapeutic targets. This chapter describes recent methodological developments in PET starting with a very brief overview of radiotracers relevant to movement disorders while emphasizing the development of instrumentation, algorithms and imaging analysis methods relevant to multi-modal investigation of movement disorders.
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Affiliation(s)
- Vesna Sossi
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.
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50
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Prell T. Structural and Functional Brain Patterns of Non-Motor Syndromes in Parkinson's Disease. Front Neurol 2018; 9:138. [PMID: 29593637 PMCID: PMC5858029 DOI: 10.3389/fneur.2018.00138] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/26/2018] [Indexed: 11/26/2022] Open
Abstract
Parkinson’s disease (PD) is a common, progressive and multisystem neurodegenerative disorder characterized by motor and non-motor symptoms. Advanced magnetic resonance imaging, positron emission tomography, and functional magnetic resonance imaging can render the view toward understanding the neural basis of these non-motor syndromes, as they help to understand the underlying pathophysiological abnormalities. This review provides an up-to-date description of structural and functional brain alterations in patients with PD with cognitive deficits, visual hallucinations, fatigue, impulsive behavior disorders, sleep disorders, and pain.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany
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