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Gan C, Cao X, Sun H, Ye S, Shi J, Shan A, Gao M, Wan C, Zhang K, Yuan Y. Multimodal neuroimaging fusion unravel structural-functional-neurotransmitter change in Parkinson's disease with impulse control disorders. Neurobiol Dis 2024; 198:106560. [PMID: 38852751 DOI: 10.1016/j.nbd.2024.106560] [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: 02/05/2024] [Revised: 05/25/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Impulse control disorders (ICD) in Parkinson's disease (PD) is highly multifactorial in etiology and has intricate neural mechanisms. Our multimodal neuroimaging study aimed to investigate the specific patterns of structure-function-neurotransmitter interactions underlying ICD. METHODS Thirty PD patients with ICD (PD-ICD), 30 without ICD (PD-NICD) and 32 healthy controls (HCs) were recruited. Gyrification and perivascular spaces (PVS) were computed to capture the alternations of cortical surface morphology and glymphatic function. Seed-based functional connectivity (FC) were performed to identify the corresponding functional changes. Further, JuSpace toolbox were employed for cross-modal correlations to evaluate whether the spatial patterns of functional alterations in ICD patients were associated with specific neurotransmitter system. RESULTS Compared to PD-NICD, PD-ICD patients showed hypogyrification and enlarged PVS volume fraction in the left orbitofrontal gyrus (OFG), as well as decreased FC between interhemispheric OFG. The interhemispheric OFG connectivity reduction was associated with spatial distribution of μ-opioid pathway (r = -0.186, p = 0.029, false discovery rate corrected). ICD severity was positively associated with the PVS volume fraction of left OFG (r = 0.422, p = 0.032). Furthermore, gyrification index (LGI) and percent PVS (pPVS) in OFG and their combined indicator showed good performance in differentiating PD-ICD from PD-NICD. CONCLUSIONS Our findings indicated that the co-altered structure-function-neurotransmitter interactions of OFG might be involved in the pathogenesis of ICD.
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Affiliation(s)
- Caiting Gan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xingyue Cao
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Huimin Sun
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shiyi Ye
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jiaxin Shi
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Aidi Shan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Mengxi Gao
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Chenhui Wan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Kezhong Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Yongsheng Yuan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing 211166, China.
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Witt K, Levin J, van Eimeren T, Hasan A, Ebersbach G. Diagnostics and treatment of impulse control disorders, psychosis and delirium: systemic review-based recommendations - guideline "Parkinson's disease" of the German Society of Neurology. J Neurol 2024:10.1007/s00415-024-12576-x. [PMID: 39046524 DOI: 10.1007/s00415-024-12576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/05/2024] [Accepted: 07/07/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND AND OBJECTIVE Impulse control disorders (ICD), psychosis and delirium are part of the spectrum of behavioural changes associated with Parkinson's disease (PD). The diagnostic and therapeutic management of these rather complex neuropsychiatric conditions has been updated in the clinical guideline by the German Society of Neurology (DGN). METHODS Recommendations are based on a systematic literature reviews, other relevant guidelines and expert opinion. RESULTS Patients receiving dopamine agonists (DA) therapy should be informed about the symptoms and risks of an ICD and should be routinely screened for ICD symptoms. In the presence of an ICD, DA should be reduced or discontinued and psychotherapeutic treatment may be considered. Non-oral therapies (levodopa/carbidopa intestinal gel infusion or deep brain stimulation) may also be an option for appropriate candidates. Psychosis in PD often has a gradual onset. Cognitive and affective disorders, psychiatric and medical comorbidities as well as polypharmacy are risk factors for a psychosis. Non-pharmacological treatments should be implemented as soon as possible and anti-parkinsonian medications should be adjusted/reduced if feasible. For psychosis associated with PD, quetiapine or clozapine should be used on an as-needed basis and for as short a time as is necessary, with safety monitoring. Delirium in PD may be underdiagnosed due to an overlap with chronic neuropsychiatric features of PD. Although transient by definition, delirium in PD can lead to permanent cognitive decline, motor impairment and increased mortality. Management of delirium includes pharmacological and non-pharmacological interventions. CONCLUSION The updated guideline encompasses the evidence-based diagnostic, non-pharmacological and pharmacological management of ICD, psychosis and delirium in PD.
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Affiliation(s)
- Karsten Witt
- Department of Neurology, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Marienstrasse 15, 26121, Oldenburg, Germany.
- University Clinic of Neurology, Evangelical Hospital, Oldenburg, Germany.
- Center of Neurosensory Sciences, University of Oldenburg, Oldenburg, Germany.
| | - Johannes Levin
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Site Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- DZPG (German Center for Mental Health), Partner Site München/Augsburg, Augsburg, Germany
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Maggi G, Vitale C, Giacobbe C, Barone A, Mastromarino C, Iannotta F, Amboni M, Weintraub D, Santangelo G. Validation of the Italian version of the Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease-Rating Scale (QUIP-RS) in an Italian Parkinson's disease cohort. Neurol Sci 2024; 45:3153-3161. [PMID: 38231374 PMCID: PMC11176207 DOI: 10.1007/s10072-024-07304-2] [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: 10/18/2023] [Accepted: 12/31/2023] [Indexed: 01/18/2024]
Abstract
INTRODUCTION Impulse control disorders (ICDs) frequently occur in Parkinson's disease (PD), and an early identification is essential to prevent severe psychosocial consequences. The Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease-Rating Scale (QUIP-RS) has been developed to evaluate the severity of ICDs along with a range of impulsive-compulsive behaviors (ICBs) in PD; however, its Italian version has not yet been validated. METHODS One hundred consecutive outpatients with PD were administered an Italian version of the QUIP-RS and a brief neuropsychological assessment to evaluate global cognitive status and scales to measure depression, apathy and impulsive disorders. We evaluated the internal consistency, convergent and divergent validity, and factorial structure of QUIP-RS. We also explored the possible association between QUIP-RS scores and clinical factors and dopaminergic medication. RESULTS Subsyndromal ICDs manifestations were observed in 54% of the patients, and one in four (22%) reported two or more ICDs or related behaviors. The QUIP-RS demonstrated good internal consistency (Cronbach's alpha = 0.806) and construct validity, and its factorial structure reflected different ICDs and ICBs domains. No association emerged between QUIP-RS scores and the clinical aspects of PD and dopaminergic medication. CONCLUSION We provided, for the first time, an Italian translation of the QUIP-RS and demonstrated its feasibility in clinical and research settings. Severity of ICDs was independent of clinical factors and dopaminergic medication, underlining the need to adopt a broader perspective on their etiopathology in PD.
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Affiliation(s)
- Gianpaolo Maggi
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Carmine Vitale
- Department of Medical, Motor Sciences and Wellness, University "Parthenope", Naples, Italy
- Institute of Diagnosis and Health, IDC-Hermitage Capodimonte, Naples, Italy
| | - Chiara Giacobbe
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Angelo Barone
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Clara Mastromarino
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Federica Iannotta
- Department of Neuroscience, Section of Psychiatry, School of Medicine, University Federico II, Naples, Italy
| | - Marianna Amboni
- Institute of Diagnosis and Health, IDC-Hermitage Capodimonte, Naples, Italy
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
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Carbone F, Djamshidian A. Impulse Control Disorders in Parkinson's Disease: An Overview of Risk Factors, Pathogenesis and Pharmacological Management. CNS Drugs 2024; 38:443-457. [PMID: 38613665 PMCID: PMC11098885 DOI: 10.1007/s40263-024-01087-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/17/2024] [Indexed: 04/15/2024]
Abstract
Impulse control disorders in Parkinson's disease are relatively common drug-induced addictive behaviours that are usually triggered by the dopamine agonists pramipexole, ropinirole and rotigotine. This narrative review aimed to provide a comprehensive overview of the current knowledge of impulse control disorders in Parkinson's disease. We summarised the prevalence, clinical features, risk factors and potential underlying mechanisms of impulse control disorders in Parkinson's disease. Moreover, recent advances in behavioural and imaging characteristics and management strategies are discussed. Early detection as well as a tailored multidisciplinary approach, which typically includes careful adjustment of the dopaminergic therapy and the treatment of associated neuropsychiatric symptoms, are necessary. In some cases, a continuous delivery of levodopa via a pump or the dopamine D1 receptor agonist, apomorphine, can be considered. In selected patients without cognitive or speech impairment, deep brain stimulation of the subthalamic nucleus can also improve addictions. Finding the right balance of tapering dopaminergic dose (usually dopamine agonists) without worsening motor symptoms is essential for a beneficial long-term outcome.
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Affiliation(s)
- Federico Carbone
- Department of Neurology, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Atbin Djamshidian
- Department of Neurology, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
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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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Phan TX, Baratono S, Drew W, Tetreault AM, Fox MD, Darby RR. Increased Cortical Thickness in Alzheimer's Disease. Ann Neurol 2024; 95:929-940. [PMID: 38400760 PMCID: PMC11060923 DOI: 10.1002/ana.26894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 01/31/2024] [Accepted: 02/03/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVE Patients with Alzheimer's disease (AD) have diffuse brain atrophy, but some regions, such as the anterior cingulate cortex (ACC), are spared and may even show increase in size compared to controls. The extent, clinical significance, and mechanisms associated with increased cortical thickness in AD remain unknown. Recent work suggested neural facilitation of regions anticorrelated to atrophied regions in frontotemporal dementia. Here, we aim to determine whether increased thickness occurs in sporadic AD, whether it relates to clinical symptoms, and whether it occur in brain regions functionally connected to-but anticorrelated with-locations of atrophy. METHODS Cross-sectional clinical, neuropsychological, and neuroimaging data from the Alzheimer's Disease Neuroimaging Initiative were analyzed to investigate cortical thickness in AD subjects versus controls. Atrophy network mapping was used to identify brain regions functionally connected to locations of increased thickness and atrophy. RESULTS AD patients showed increased thickness in the ACC in a region-of-interest analysis and the visual cortex in an exploratory analysis. Increased thickness in the left ACC was associated with preserved cognitive function, while increased thickness in the left visual cortex was associated with hallucinations. Finally, we found that locations of increased thickness were functionally connected to, but anticorrelated with, locations of brain atrophy (r = -0.81, p < 0.05). INTERPRETATION Our results suggest that increased cortical thickness in Alzheimer's disease is relevant to AD symptoms and preferentially occur in brain regions functionally connected to, but anticorrelated with, areas of brain atrophy. Implications for models of compensatory neuroplasticity in response to neurodegeneration are discussed. ANN NEUROL 2024;95:929-940.
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Affiliation(s)
- Tony X. Phan
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Sheena Baratono
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - William Drew
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Aaron M. Tetreault
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Michael D. Fox
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - R. Ryan Darby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
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Ansari MF, Prasad S, Bhardwaj S, Kamble N, Rakesh K, Holla VV, Yadav R, Mahale RR, Saini J, Pal PK. Morphometric alterations of the mesocorticolimbic network in Parkinson's disease with impulse control disorders. J Neural Transm (Vienna) 2024; 131:229-237. [PMID: 38216706 DOI: 10.1007/s00702-023-02735-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/21/2023] [Indexed: 01/14/2024]
Abstract
Impulse control disorders (ICDs) are a group of non-motor symptoms of Parkinson disease (PD) leading to significant psychosocial detrimental outcome. The mesocorticolimbic network plays a distinctive role in reward learning and executive decision making and has been suggested to be involved in ICDs in PD. To study morphometric changes of the mesocorticolimbic network in PD with ICD. A total of 18 patients of PD with ICD (PD + ICD), 19 patients of PD without ICD (PD - ICD) and 19 healthy controls (HC) were included in the study. ICDs were diagnosed using Questionnaire for Impulsive-Compulsive Disorders in PD-Rating Scale (QUIP-RS). MRI was done using a 3T scanner and assessment of cortical thickness and subcortical volumes were done using FreeSurfer. Brain regions known to be part of the mesocorticolimbic network were extracted and included for statistical analysis. There was no difference between PD + ICD and PD - ICD with regard to duration of illness or total dopaminergic medication. In comparison to HC, patients with PD + ICD demonstrated atrophy of the left frontal pole, and this atrophy neared significance in comparison to PD - ICD. The QUIP-RS had a negative correlation with left caudate volume in PD + ICD. The PD + ICD group showed distinct morphometric changes in regions involved in the mesocorticolimbic system which may contribute to the presence of ICD.
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Affiliation(s)
- Mohammed Farhan Ansari
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Shweta Prasad
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Sujas Bhardwaj
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - K Rakesh
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Vikram V Holla
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Rohan R Mahale
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India.
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Ren W, Qi Y, Liu Y, Yan Y, Zheng X, Jin S, Chang Y. Evaluation of risk factors for impulse control disorder in Parkinson's disease in northern China. Front Aging Neurosci 2023; 15:1257618. [PMID: 38076540 PMCID: PMC10702947 DOI: 10.3389/fnagi.2023.1257618] [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: 07/14/2023] [Accepted: 10/23/2023] [Indexed: 09/05/2024] Open
Abstract
INTRODUCTION Impulse control disorder (ICD) is a common non-motor symptom of Parkinson's disease (PD), but its risk factors are still controversial. This study aimed to determine the prevalence of ICD in northern China and analyze the risk factors associated with ICD, multiple ICDs, and four subtypes. METHODS A total of 285 PD patients were enrolled in this study. Each patient was screened using the Questionnaire for Impulse and Compulsive Control Disorders (QUIP). Stepwise regression analysis was performed to identify independent risk factors, and a prediction model was developed. RESULTS The prevalence of ICD in the study population was 11.6%. Stepwise regression analysis showed that ICD was associated with disease duration, motor symptoms, dyskinesia, depression, REM sleep behavior disorder (RBD) and cognitive decline; multiple ICDs were related to coffee history, motor symptoms, dyskinesia, depression, apathy and RBD. The prediction model demonstrated good performance with AUC values of 0.93, 0.88, and 0.66 on the balanced train set, balanced test set, and the original imbalanced data set, respectively. CONCLUSION The risk factors for PD-ICD are complex and influenced by regional economic and cultural backgrounds. Clarifying these factors and developing predictive models can help to delay or even prevent the development of ICD through early screening and intervention.
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Affiliation(s)
- Wenhua Ren
- The Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Yumeng Qi
- Departments of Biostatistics, Columbia University, New York, NY, United States
| | - Yan Liu
- The Department of Neurology, Binzhou People Hospital, Shandong, China
| | - YaYun Yan
- The Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Xiaoqi Zheng
- The Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - ShuXian Jin
- The Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Ying Chang
- The Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
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Schinz D, Schmitz-Koep B, Tahedl M, Teckenberg T, Schultz V, Schulz J, Zimmer C, Sorg C, Gaser C, Hedderich DM. Lower cortical thickness and increased brain aging in adults with cocaine use disorder. Front Psychiatry 2023; 14:1266770. [PMID: 38025412 PMCID: PMC10679447 DOI: 10.3389/fpsyt.2023.1266770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Background Cocaine use disorder (CUD) is a global health issue with severe behavioral and cognitive sequelae. While previous evidence suggests a variety of structural and age-related brain changes in CUD, the impact on both, cortical thickness and brain age measures remains unclear. Methods Derived from a publicly available data set (SUDMEX_CONN), 74 CUD patients and 62 matched healthy controls underwent brain MRI and behavioral-clinical assessment. We determined cortical thickness by surface-based morphometry using CAT12 and Brain Age Gap Estimate (BrainAGE) via relevance vector regression. Associations between structural brain changes and behavioral-clinical variables of patients with CUD were investigated by correlation analyses. Results We found significantly lower cortical thickness in bilateral prefrontal cortices, posterior cingulate cortices, and the temporoparietal junction and significantly increased BrainAGE in patients with CUD [mean (SD) = 1.97 (±3.53)] compared to healthy controls (p < 0.001, Cohen's d = 0.58). Increased BrainAGE was associated with longer cocaine abuse duration. Conclusion Results demonstrate structural brain abnormalities in CUD, particularly lower cortical thickness in association cortices and dose-dependent, increased brain age.
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Affiliation(s)
- David Schinz
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen- (FAU), Nürnberg, Germany
| | - Benita Schmitz-Koep
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Marlene Tahedl
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Timo Teckenberg
- Digital Management & Transformation, SRH Fernhochschule - The Mobile University, Riedlingen, Germany
| | - Vivian Schultz
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Julia Schulz
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Psychiatry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
- German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Dennis M. Hedderich
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
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Luckett PH, Olufawo M, Lamichhane B, Park KY, Dierker D, Verastegui GT, Yang P, Kim AH, Chheda MG, Snyder AZ, Shimony JS, Leuthardt EC. Predicting survival in glioblastoma with multimodal neuroimaging and machine learning. J Neurooncol 2023; 164:309-320. [PMID: 37668941 PMCID: PMC10522528 DOI: 10.1007/s11060-023-04439-8] [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: 08/03/2023] [Accepted: 08/26/2023] [Indexed: 09/06/2023]
Abstract
PURPOSE Glioblastoma (GBM) is the most common and aggressive malignant glioma, with an overall median survival of less than two years. The ability to predict survival before treatment in GBM patients would lead to improved disease management, clinical trial enrollment, and patient care. METHODS GBM patients (N = 133, mean age 60.8 years, median survival 14.1 months, 57.9% male) were retrospectively recruited from the neurosurgery brain tumor service at Washington University Medical Center. All patients completed structural neuroimaging and resting state functional MRI (RS-fMRI) before surgery. Demographics, measures of cortical thickness (CT), and resting state functional network connectivity (FC) were used to train a deep neural network to classify patients based on survival (< 1y, 1-2y, >2y). Permutation feature importance identified the strongest predictors of survival based on the trained models. RESULTS The models achieved a combined cross-validation and hold out accuracy of 90.6% in classifying survival (< 1y, 1-2y, >2y). The strongest demographic predictors were age at diagnosis and sex. The strongest CT predictors of survival included the superior temporal sulcus, parahippocampal gyrus, pericalcarine, pars triangularis, and middle temporal regions. The strongest FC features primarily involved dorsal and inferior somatomotor, visual, and cingulo-opercular networks. CONCLUSION We demonstrate that machine learning can accurately classify survival in GBM patients based on multimodal neuroimaging before any surgical or medical intervention. These results were achieved without information regarding presentation symptoms, treatments, postsurgical outcomes, or tumor genomic information. Our results suggest GBMs have a global effect on the brain's structural and functional organization, which is predictive of survival.
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Affiliation(s)
- Patrick H Luckett
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Michael Olufawo
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Bidhan Lamichhane
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Center for Health Sciences, Oklahoma State University, Tulsa, OK, 74136, USA
| | - Ki Yun Park
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Donna Dierker
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Peter Yang
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Milan G Chheda
- Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric C Leuthardt
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO, 63130, USA
- Department of Mechanical Engineering and Materials Science, Washington University in Saint Louis, St. Louis, MO, 63130, USA
- Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Brain Laser Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- National Center for Adaptive Neurotechnologies, Albany, USA
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11
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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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12
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Parenting Styles Predict Future-Oriented Cognition in Children: A Cross-Sectional Study. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9101589. [PMID: 36291525 PMCID: PMC9600440 DOI: 10.3390/children9101589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
Parenting is a crucial environmental factor in children’s social and cognitive development. This study investigated the association between parenting styles and future-oriented cognition skills in elementary school-aged children. Cross-sectional data were collected from parents of 200 Iranian elementary school aged children (6–13 years), 139 boys and 61 girls. Baumrind’s Parenting Styles Questionnaire and Children’s Future Thinking Questionnaire (CFTQ) were administered to parents. There was a significant positive association between authoritative parenting and children’s abilities in prospective memory, episodic foresight, planning, delay of gratification, and future-oriented cognition total score. In contrast, authoritarian parenting was negatively correlated with children’s abilities in planning, delay of gratification, and future-oriented cognition. Increases in authoritative parenting scores predicted better future-oriented cognition abilities in children.
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13
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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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14
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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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15
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Long Z. SPAMRI: A MATLAB Toolbox for Surface-Based Processing and Analysis of Magnetic Resonance Imaging. Front Hum Neurosci 2022; 16:946156. [PMID: 35874152 PMCID: PMC9301123 DOI: 10.3389/fnhum.2022.946156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Structural magnetic resonance imaging (MRI) has elicited increasing attention in morphological surface studies due to its stability and sensitivity to neurodegenerative processes, particularly in exploring brain aging and psychiatric disease. However, a user-friendly toolbox for the surface-based analysis of structural MRI is still lacking. On the basis of certain software functions in FreeSurfer, CAT and ANTs, a MATLAB toolbox called "surface-based processing and analysis of MRI" (SPAMRI) has been developed, which can be performed in Windows, Linux and Mac-OS. SPAMRI contains several features as follows: (1) open-source MATLAB-based package with a graphical user interface (GUI); (2) a set of images that can be generated for quality checking, such as Talairach transform, skull strip, and surface reconstruction; (3) user-friendly GUI with capabilities on statistical analysis, multiple comparison corrections, reporting of results, and surface measurement extraction; and (4) provision of a conversion tool between surface files (e.g., mesh files) and volume files (e.g., NIFTI files). SPAMRI is applied to a publicly released structural MRI dataset of 44 healthy young adults and 39 old adults. Findings showed that old people have decreased cortical thickness, especially in prefrontal cortex, relative to those of young adults, thereby suggesting a cognitive decline in the former. SPAMRI is anticipated to substantially simplify surface-based image processing and MRI dataset analyses and subsequently open new opportunities to investigate structural morphologies.
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Affiliation(s)
- Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
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16
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Huang H, Zheng S, Yang Z, Wu Y, Li Y, Qiu J, Cheng Y, Lin P, Lin Y, Guan J, Mikulis DJ, Zhou T, Wu R. Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes. Cereb Cortex 2022; 33:754-763. [PMID: 35301516 PMCID: PMC9890469 DOI: 10.1093/cercor/bhac099] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 02/04/2023] Open
Abstract
This study aimed to analyse cerebral grey matter changes in mild cognitive impairment (MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using deep learning methods based on convolutional neural networks (CNNs) evaluating these changes. Participants (111 MCI, 73 normal cognition) underwent 3-T structural magnetic resonance imaging. The obtained images were assessed using voxel-based morphometry, including extraction of cerebral grey matter, analyses of statistical differences, and correlation analyses between cerebral grey matter and clinical cognitive scores in MCI. The CNN-based deep learning method was used to extract features of cerebral grey matter images. Compared to subjects with normal cognition, participants with MCI had grey matter atrophy mainly in the entorhinal cortex, frontal cortex, and bilateral frontotemporal lobes (p < 0.0001). This atrophy was significantly correlated with the decline in cognitive scores (p < 0.01). The accuracy, sensitivity, and specificity of the CNN model for identifying participants with MCI were 80.9%, 88.9%, and 75%, respectively. The area under the curve of the model was 0.891. These findings demonstrate that research based on brain morphology can provide an effective way for the clinical, non-invasive, objective evaluation and identification of early Alzheimer's disease.
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Affiliation(s)
- Huaidong Huang
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | | | - Zhongxian Yang
- Medical Imaging Center, Shenzhen Hospital, Southern Medical University, No. 1333, Xinhu Road, Bao'an District, Shenzhen 518000, China
| | - Yi Wu
- Department of Neurology, Shantou Central Hospital and Affiliated Shantou Hospital of Sun Yat-Sen University, No. 114, Waima Road, Jinping District, Shantou 515041, China
| | - Yan Li
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - Jinming Qiu
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - Yan Cheng
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - Panpan Lin
- School of Clinical Medicine, Quanzhou Medical College, No. 2, Anji Road, Luojiang District, Quanzhou 362000, China
| | - Yan Lin
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - Jitian Guan
- Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - David John Mikulis
- Division of Neuroradiology, Department of Medical Imaging, University of Toronto, University Health Network, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S7, Canada
| | - Teng Zhou
- Department of Computer Science, Shantou University, 243 Daxue Road, Shantou 515063, China
- Renhua Wu, Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
| | - Renhua Wu
- Department of Computer Science, Shantou University, 243 Daxue Road, Shantou 515063, China
- Renhua Wu, Department of Medical Imaging, The 2nd Affiliated Hospital, Medical College of Shantou University, No. 69, Dongxia North Road, Jinping District, Shantou 515041, China
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17
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Music to move persons with Parkinson's disease: a personalized approach. J Neurol 2022; 269:251-252. [PMID: 34023957 PMCID: PMC8738447 DOI: 10.1007/s00415-021-10615-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 10/31/2022]
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18
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Goto M, Abe O, Hagiwara A, Fujita S, Kamagata K, Hori M, Aoki S, Osada T, Konishi S, Masutani Y, Sakamoto H, Sakano Y, Kyogoku S, Daida H. Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications. Magn Reson Med Sci 2022; 21:41-57. [PMID: 35185061 PMCID: PMC9199978 DOI: 10.2463/mrms.rev.2021-0096] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that includes cortex measurement. In cases where SBM is used to estimate cortical morphology, it remains controversial as to whether VBM should be used in addition to estimate GM volume. Therefore, this review has two main goals. First, we summarize the differences between the two methods regarding preprocessing, statistical analysis, and reliability. Second, we review studies that estimate cortical morphological changes using VBM and/or SBM and discuss whether using VBM in conjunction with SBM produces additional values. We found cases in which detection of morphological change in either VBM or SBM was superior, and others that showed equivalent performance between the two methods. Therefore, we concluded that using VBM and SBM together can help researchers and clinicians obtain a better understanding of normal neurobiological processes of the brain. Moreover, the use of both methods may improve the accuracy of the detection of morphological changes when comparing the data of patients and controls. In addition, we introduce two other recent methods as future directions for estimating cortical morphological changes: a multi-modal parcellation method using structural and functional images, and a synthetic segmentation method using multi-contrast images (such as T1- and proton density-weighted images).
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Affiliation(s)
- Masami Goto
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
| | | | - Shohei Fujita
- Department of Radiology, Graduate School of Medicine, The University of Tokyo
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine
| | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine
| | - Takahiro Osada
- Department of Neurophysiology, Juntendo University School of Medicine
| | - Seiki Konishi
- Department of Neurophysiology, Juntendo University School of Medicine
| | | | - Hajime Sakamoto
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
| | - Yasuaki Sakano
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
| | - Shinsuke Kyogoku
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
| | - Hiroyuki Daida
- Department of Radiological Technology, Faculty of Health Science, Juntendo University
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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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20
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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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21
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Sheng L, Zhao P, Ma H, Radua J, Yi Z, Shi Y, Zhong J, Dai Z, Pan P. Cortical thickness in Parkinson's disease: a coordinate-based meta-analysis. Aging (Albany NY) 2021; 13:4007-4023. [PMID: 33461168 PMCID: PMC7906199 DOI: 10.18632/aging.202368] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 11/30/2020] [Indexed: 12/24/2022]
Abstract
Parkinson's disease (PD) is a common age-related neurodegenerative disease that affects the structural architecture of the cerebral cortex. Cortical thickness (CTh) via surface-based morphometry (SBM) analysis is a popular measure to assess brain structural alterations in the gray matter in PD. However, the results of CTh analysis in PD lack consistency and have not been systematically reviewed. We conducted a comprehensive coordinate-based meta-analysis (CBMA) of 38 CTh studies (57 comparison datasets) in 1,843 patients with PD using the latest seed-based d mapping software. Compared with 1,172 healthy controls, no significantly consistent CTh alterations were found in patients with PD, suggesting CTh as an unreliable neuroimaging marker for PD. The lack of consistent CTh alterations in PD could be ascribed to the heterogeneity in clinical populations, variations in imaging methods, and underpowered small sample sizes. These results highlight the need to control for potential confounding factors to produce robust and reproducible CTh results in PD.
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Affiliation(s)
- LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, PR China
| | - PanWen Zhao
- Department of Central Laboratory, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, PR China
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - ZhongQuan Yi
- Department of Central Laboratory, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - YuanYuan Shi
- Department of Central Laboratory, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - JianGuo Zhong
- Department of Neurology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - ZhenYu Dai
- Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - PingLei Pan
- Department of Neurology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
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22
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Zhang JF, Wang XX, Feng Y, Fekete R, Jankovic J, Wu YC. Impulse Control Disorders in Parkinson's Disease: Epidemiology, Pathogenesis and Therapeutic Strategies. Front Psychiatry 2021; 12:635494. [PMID: 33633615 PMCID: PMC7900512 DOI: 10.3389/fpsyt.2021.635494] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/19/2021] [Indexed: 12/11/2022] Open
Abstract
Impulse control disorders (ICDs) in Parkinson's disease (PD) are aberrant behavior such as pathological gambling, hypersexuality, binge eating, and compulsive buying, which typically occur as a result of dopaminergic therapy. Numerous studies have focused on the broad spectrum of ICDs-related behaviors and their tremendous impact on patients and their family members. Recent advances have improved our understanding of ICDs. In this review, we discuss the epidemiology, pathogenesis and treatment of ICDs in the setting of PD.
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Affiliation(s)
- Jun-Fang Zhang
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xi-Xi Wang
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai General Hospital of Nanjing Medical University, Nanjing, China
| | - Ya Feng
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Robert Fekete
- Department of Neurology, New York Medical College, New York, NY, United States
| | - Joseph Jankovic
- Department of Neurology, Baylor College of Medicine, Houston, TX, United States
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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23
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Incentive-driven decision-making networks in de novo and drug-treated Parkinson's disease patients with impulsive-compulsive behaviors: A systematic review of neuroimaging studies. Parkinsonism Relat Disord 2020; 78:165-177. [PMID: 32927414 DOI: 10.1016/j.parkreldis.2020.07.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/30/2020] [Accepted: 07/20/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND In Parkinson's disease (PD), impulsive-compulsive behaviors (ICBs) may develop as side-effect of dopaminergic medications. Abnormal incentive-driven decision-making, which is supported by the cognitive control and motivation interaction, may represent an ICBs signature. This systematic review explored whether structural and/or functional brain differences between PD patients with vs without ICBs encompass incentive-driven decision-making networks. METHODS Structural and functional neuroimaging studies comparing PD patients with and without ICBs, either de novo or medicated, were included. RESULTS Thirty articles were identified. No consistent evidence of structural alteration both in de novo and medicated PD patients were found. Differences in connectivity within the default mode, the salience and the central executive networks predate ICBs development and remain stable once ICBs are fully developed. Medicated PD patients with ICBs show increased metabolism and cerebral blood flow in orbitofrontal and cingulate cortices, ventral striatum, amygdala, insula, temporal and supramarginal gyri. Abnormal ventral striatum connectivity with anterior cingulate cortex and limbic structures was reported in PD patients with ICBs. DISCUSSION Functional brain signatures of ICBs in PD encompass areas involved in cognitive control and motivational encoding networks of the incentive-driven decision-making. Functional alterations predating ICBs may be related to abnormal synaptic plasticity in these networks.
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24
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Bateman DR, Gill S, Hu S, Foster ED, Ruthirakuhan MT, Sellek AF, Mortby ME, Matušková V, Ng KP, Tarawneh RM, Freund-Levi Y, Kumar S, Gauthier S, Rosenberg PB, Ferreira de Oliveira F, Devanand DP, Ballard C, Ismail Z. Agitation and impulsivity in mid and late life as possible risk markers for incident dementia. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12016. [PMID: 32995467 PMCID: PMC7507499 DOI: 10.1002/trc2.12016] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 02/17/2020] [Indexed: 12/14/2022]
Abstract
To identify knowledge gaps regarding new-onset agitation and impulsivity prior to onset of cognitive impairment or dementia the International Society to Advance Alzheimer's Research and Treatment Neuropsychiatric Syndromes (NPS) Professional Interest Area conducted a scoping review. Extending a series of reviews exploring the pre-dementia risk syndrome Mild Behavioral Impairment (MBI), we focused on late-onset agitation and impulsivity (the MBI impulse dyscontrol domain) and risk of incident cognitive decline and dementia. This scoping review of agitation and impulsivity pre-dementia syndromes summarizes the current biomedical literature in terms of epidemiology, diagnosis and measurement, neurobiology, neuroimaging, biomarkers, course and prognosis, treatment, and ongoing clinical trials. Validations for pre-dementia scales such as the MBI Checklist, and incorporation into longitudinal and intervention trials, are needed to better understand impulse dyscontrol as a risk factor for mild cognitive impairment and dementia.
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Affiliation(s)
- Daniel R Bateman
- Department of Psychiatry Indiana University School of Medicine Indianapolis Indiana
- Indiana University Center for Aging Research Regenstrief Institute Indianapolis Indiana
| | - Sascha Gill
- Department of Clinical Neurosciences; and the Ron and Rene Ward Centre for Healthy Brain Aging Research; Hotchkiss Brain Institute University of Calgary Calgary Alberta Canada
| | - Sophie Hu
- Community Health Sciences, and O'Brien Institute for Public Health University of Calgary Calgary Alberta Canada
| | - Erin D Foster
- Ruth Lilly Medical Library Indiana University School of Medicine Indianapolis Indiana
- University of California Berkeley Berkeley CA
| | - Myuri T Ruthirakuhan
- Hurvitz Brain Sciences Research Program Sunnybrook Research Institute Toronto Ontario Canada
- Department of Pharmacology and Toxicology University of Toronto Ontario Canada
| | | | - Moyra E Mortby
- School of Psychology University of New South Wales Sydney New South Wales Australia
- Neuroscience Research Australia University of New South Wales Sydney New South Wales Australia
| | - Veronika Matušková
- International Clinical Research Center St. Anne's University Hospital Brno Brno Czech Republic
- Memory Disorders Clinic, Department of Neurology, 2nd Faculty of Medicine Charles University in Prague and Motol University Hospital Prague Czech Republic
| | - Kok Pin Ng
- Department of Neurology National Neuroscience Institute Singapore Singapore
| | - Rawan M Tarawneh
- Department of Neurology, College of Medicine The Ohio State University Columbus Ohio USA
| | - Yvonne Freund-Levi
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society Karolinska Institute Stockholm Sweden
- School of Medical Sciences Örebro University Örebro Sweden
| | - Sanjeev Kumar
- Centre for Addiction and Mental Health Toronto Ontario Canada
- Department of Psychiatry University of Toronto Ontario Canada
| | - Serge Gauthier
- McGill Center for Studies in Aging McGill University Montreal Quebec Canada
| | - Paul B Rosenberg
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral, Sciences Johns Hopkins University School of Medicine Baltimore Maryland
| | - Fabricio Ferreira de Oliveira
- Department of Neurology and Neurosurgery, Escola Paulista de Medicina Federal University of São Paulo (UNIFESP), São Paulo São Paulo Brazil
| | - D P Devanand
- New York State Psychiatric Institute and Department of Psychiatry and Department of Psychiatry, College of Physicians and Surgeons Columbia University New York New York
| | - Clive Ballard
- College of Medicine and Health The University of Exeter Exeter UK
| | - Zahinoor Ismail
- Department of Clinical Neurosciences; and the Ron and Rene Ward Centre for Healthy Brain Aging Research; Hotchkiss Brain Institute University of Calgary Calgary Alberta Canada
- Community Health Sciences, and O'Brien Institute for Public Health University of Calgary Calgary Alberta Canada
- Department of Psychiatry, and the Mathison Centre for Mental Health Research & Education Cumming School of Medicine, University of Calgary Calgary Alberta Canada
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25
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Drew DS, Muhammed K, Baig F, Kelly M, Saleh Y, Sarangmat N, Okai D, Hu M, Manohar S, Husain M. Dopamine and reward hypersensitivity in Parkinson's disease with impulse control disorder. Brain 2020; 143:2502-2518. [PMID: 32761061 PMCID: PMC7447523 DOI: 10.1093/brain/awaa198] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 03/31/2020] [Accepted: 04/27/2020] [Indexed: 12/21/2022] Open
Abstract
Impulse control disorders in Parkinson's disease are common neuropsychiatric complications associated with dopamine replacement therapy. Some patients treated with dopamine agonists develop pathological behaviours, such as gambling, compulsive eating, shopping, or disinhibited sexual behaviours, which can have a severe impact on their lives and that of their families. In this study we investigated whether hypersensitivity to reward might contribute to these pathological behaviours and how this is influenced by dopaminergic medication. We asked participants to shift their gaze to a visual target as quickly as possible, in order to obtain reward. Critically, the reward incentive on offer varied over trials. Motivational effects were indexed by pupillometry and saccadic velocity, and patients were tested ON and OFF dopaminergic medication, allowing us to measure the effect of dopaminergic medication changes on reward sensitivity. Twenty-three Parkinson's disease patients with a history of impulse control disorders were compared to 26 patients without such behaviours, and 31 elderly healthy controls. Intriguingly, behavioural apathy was reported alongside impulsivity in the majority of patients with impulse control disorders. Individuals with impulse control disorders also exhibited heightened sensitivity to exogenous monetary rewards cues both ON and OFF (overnight withdrawal) dopamine medication, as indexed by pupillary dilation in anticipation of reward. Being OFF dopaminergic medication overnight did not modulate pupillary reward sensitivity in impulse control disorder patients, whereas in control patients reward sensitivity was significantly reduced when OFF dopamine. These effects were independent of cognitive impairment or total levodopa equivalent dose. Although dopamine agonist dose did modulate pupillary responses to reward, the pattern of results was replicated even when patients with impulse control disorders on dopamine agonists were excluded from the analysis. The findings suggest that hypersensitivity to rewards might be a contributing factor to the development of impulse control disorders in Parkinson's disease. However, there was no difference in reward sensitivity between patient groups when ON dopamine medication, suggesting that impulse control disorders may not emerge simply because of a direct effect of dopaminergic drug level on reward sensitivity. The pupillary reward sensitivity measure described here provides a means to differentiate, using a physiological measure, Parkinson's disease patients with impulse control disorder from those who do not experience such symptoms. Moreover, follow-up of control patients indicated that increased pupillary modulation by reward can be predictive of the risk of future emergence of impulse control disorders and may thereby provide the potential for early identification of patients who are more likely to develop these symptoms.
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Affiliation(s)
- Daniel S Drew
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Kinan Muhammed
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Fahd Baig
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Oxford Parkinson’s Disease Centre, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
- Institute of Molecular and Clinical Sciences, St. George’s University London, Blackshaw Road, Tooting, London, SW17 0QT, UK
| | - Mark Kelly
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Oxford Parkinson’s Disease Centre, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Youssuf Saleh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Nagaraja Sarangmat
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - David Okai
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Department of Neuropsychiatry, Maudsley Outpatients, Denmark Hill, Maudsley Hospital, London, SE5 8AZ, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Michele Hu
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Oxford Parkinson’s Disease Centre, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Sanjay Manohar
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Masud Husain
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
- Oxford Parkinson’s Disease Centre, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
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26
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Sheng L, Zhao P, Ma H, Radua J, Yi Z, Shi Y, Zhong J, Dai Z, Pan P. Cortical thickness in Parkinson disease: A coordinate-based meta-analysis. Medicine (Baltimore) 2020; 99:e21403. [PMID: 32756136 PMCID: PMC7402896 DOI: 10.1097/md.0000000000021403] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND A growing number of studies have used surface-based morphometry (SBM) analyses to investigate gray matter cortical thickness (CTh) abnormalities in Parkinson disease (PD). However, the results across studies are inconsistent and have not been systematically reviewed. A clear picture of CTh alterations in PD remains lacked. Coordinate-based meta-analysis (CBMA) is a powerful tool to quantitatively integrate the results of individual voxel-based neuroimaging studies to identify the functional or structural neural substrates of particular neuropsychiatric disorders. Recently, CBMA has been updated for integrating SBM studies. METHODS The online databases PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang, and SinoMed were comprehensively searched without language limitations from the database inception to February 2, 2020. We will include all SBM studies that compared regional CTh between patients with idiopathic PD and healthy control subjects at the whole-cortex level using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI). In addition to the main CBMA, we will conduct several supplementary analyses to test the robustness of the results, such as jackknife analyses, subgroup analyses, heterogeneity analyses, publication bias analyses, and meta-regression analyses. RESULTS This CBMA will offer the latest evidence of CTh alterations in PD. CONCLUSIONS Consistent and robust evidence of CTh alterations will feature brain morphometry of PD and may facilitate biomarker development. PROSPERO REGISTRATION NUMBER CRD42020148775.
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Affiliation(s)
- LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan
| | | | - HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) group, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomèdica en Red de Salud Mental, Barcelona, Spain
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - ZhenYu Dai
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, P.R. China
| | - PingLei Pan
- Department of Central Laboratory
- Department of Neurology
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27
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Increased large-scale inter-network connectivity in relation to impulsivity in Parkinson's disease. Sci Rep 2020; 10:11418. [PMID: 32651411 PMCID: PMC7351767 DOI: 10.1038/s41598-020-68266-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 06/11/2020] [Indexed: 12/21/2022] Open
Abstract
Impulsivity is a neuropsychiatric feature of Parkinson’s disease (PD). We investigated the pathophysiology of impulsivity in PD using resting-state functional magnetic resonance imaging (rs-fMRI). We investigated 45 patients with idiopathic PD and 21 healthy controls. Based on Barratt Impulsiveness Scale (BIS-11) score, PD patients were classified as higher (PD-HI) or lower impulsivity (PD-LI). Functional connectivity (FC) between various large-scale brain networks were analysed using the CONN toolbox. FC between the right frontoparietal network (FPN) and medial visual network (MVN) was significantly higher in PD-HI patients than PD-LI patients (false discovery rate [FDR]-adjusted p = 0.0315). FC between the right FPN and MVN had a significant positive correlation with total BIS-11 score (FDR-adjusted p = 0.010) and the attentional impulsivity (FDR-adjusted p = 0.046) and non-planning impulsivity subscale scores (FDR-adjusted p = 0.018). On the other hand, motor impulsivity subscale score had a significant negative correlation with the FC between the default-mode and salience networks (right supramarginal gyrus, FDR-adjusted p = 0.018; anterior cingulate cortex, FDR-adjusted p = 0.027); this trend was observed in healthy controls. The attentional and non-planning impulsivity, regarded as ‘cognitive’ impulsivity, may be associated with dysfunction in integration of perceptual information and flexible cognitive control in PD.
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28
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Khatri U, Kwon GR. An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2020; 2020:8015156. [PMID: 32565773 PMCID: PMC7292973 DOI: 10.1155/2020/8015156] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/13/2020] [Accepted: 02/17/2020] [Indexed: 11/17/2022]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and a progressive neurodegenerative condition, characterized by a decline in cognitive function. Symptoms usually appear gradually and worsen over time, becoming severe enough to interfere with individual daily tasks. Thus, the accurate diagnosis of both AD and the prodromal stage (i.e., mild cognitive impairment (MCI)) is crucial for timely treatment. As AD is inherently dynamic, the relationship between AD indicators is unclear and varies over time. To address this issue, we first aimed at investigating differences in atrophic patterns between individuals with AD and MCI and healthy controls (HCs). Then we utilized multiple biomarkers, along with filter- and wrapper-based feature selection and an extreme learning machine- (ELM-) based approach, with 10-fold cross-validation for classification. Increasing efforts are focusing on the use of multiple biomarkers, which can be useful for the diagnosis of AD and MCI. However, optimum combinations have yet to be identified and most multimodal analyses use only volumetric measures obtained from magnetic resonance imaging (MRI). Anatomical structural MRI (sMRI) measures have also so far mostly been used separately. The full possibilities of using anatomical MRI for AD detection have thus yet to be explored. In this study, three measures (cortical thickness, surface area, and gray matter volume), obtained from sMRI through preprocessing for brain atrophy measurements; cerebrospinal fluid (CSF), for quantification of specific proteins; cognitive score, as a measure of cognitive performance; and APOE ε4 allele status were utilized. Our results show that a combination of specific biomarkers performs well, with accuracies of 97.31% for classifying AD vs. HC, 91.72% for MCI vs. HC, 87.91% for MCI vs. AD, and 83.38% for MCIs vs. MCIc, respectively, when evaluated using the proposed algorithm. Meanwhile, the areas under the curve (AUC) from the receiver operating characteristic (ROC) curves combining multiple biomarkers provided better classification performance. The proposed features combination and selection algorithm effectively classified AD and MCI, and MCIs vs. MCIc, the most challenging classification task, and therefore could increase the accuracy of AD classification in clinical practice. Furthermore, we compared the performance of the proposed method with SVM classifiers, using a cross-validation method with Alzheimer's Disease Neuroimaging Initiative (ADNI) datasets.
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Affiliation(s)
- Uttam Khatri
- Department. of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea
| | - Goo-Rak Kwon
- Department. of Information and Communication Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea
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29
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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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30
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Hlavatá P, Linhartová P, Šumec R, Filip P, Světlák M, Baláž M, Kašpárek T, Bareš M. Behavioral and Neuroanatomical Account of Impulsivity in Parkinson's Disease. Front Neurol 2020; 10:1338. [PMID: 31998210 PMCID: PMC6965152 DOI: 10.3389/fneur.2019.01338] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/03/2019] [Indexed: 12/12/2022] Open
Abstract
Impulse control disorder (ICD) is a major non-motor complication of Parkinson's disease (PD) with often devastating consequences for patients' quality of life. In this study, we aimed to characterize the phenotype of impulsivity in PD and its neuroanatomical correlates. Methods: Thirty-seven PD patients (15 patients with ICD, 22 patients without ICD) and 36 healthy controls underwent a neuropsychological battery. The test battery consisted of anxiety and depression scales, self-report measures of impulsivity (Barratt scale and UPPS-P), behavioral measures of impulsive action (Go/No-Go task, Stop signal task) and impulsive choice (Delay discounting, Iowa gambling task), and measures of cognitive abilities (working memory, attention, executive function). Patients and controls underwent structural MRI scanning. Results: Patients with ICD had significantly higher levels of self-reported impulsivity (Barratt scale and Lack of perseverance from UPPS-P) in comparison with healthy controls and non-impulsive PD patients, but they performed similarly in behavioral tasks, except for the Iowa gambling task. In this task, patients with ICD made significantly less risky decisions than patients without ICD and healthy controls. Patients without ICD did not differ from healthy controls in self-reported impulsivity or behavioral measurements. Both patient groups were more anxious and depressive than healthy controls. MRI scanning revealed structural differences in cortical areas related to impulse control in both patient groups. Patients without ICD had lower volumes and cortical thickness of bilateral inferior frontal gyrus. Patients with ICD had higher volumes of right caudal anterior cingulate and rostral middle frontal cortex. Conclusions: Despite the presence of ICD as confirmed by both clinical follow-up and self-reported impulsivity scales and supported by structural differences in various neural nodes related to inhibitory control and reward processing, patients with ICD performed no worse than healthy controls in various behavioral tasks previously hypothesized as robust impulsivity measures. These results call for caution against impetuous interpretation of behavioral tests, since various factors may and will influence the ultimate outcomes, be it the lack of sensitivity in specific, limited ICD subtypes, excessive caution of ICD patients during testing due to previous negative experience rendering simplistic tasks insufficient, or other, as of now unknown aspects, calling for further research.
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Affiliation(s)
- Pavlína Hlavatá
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia.,Behavioral and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Pavla Linhartová
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Rastislav Šumec
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Pavel Filip
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Miroslav Světlák
- Faculty of Medicine, Institute of Psychology and Psychosomatics, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Marek Baláž
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Tomáš Kašpárek
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Martin Bareš
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia.,Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, MN, United States
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31
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Hammes J, Theis H, Giehl K, Hoenig MC, Greuel A, Tittgemeyer M, Timmermann L, Fink GR, Drzezga A, Eggers C, van Eimeren T. Dopamine metabolism of the nucleus accumbens and fronto-striatal connectivity modulate impulse control. Brain 2020; 142:733-743. [PMID: 30753324 DOI: 10.1093/brain/awz007] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/23/2018] [Accepted: 11/28/2018] [Indexed: 12/14/2022] Open
Abstract
Impulsive-compulsive behaviours like pathological gambling or hypersexuality are a frequent side effect of dopamine replacement therapy in patients with Parkinson's disease. Multiple imaging studies suggest a significant reduction of presynaptic dopamine transporters in the nucleus accumbens to be a predisposing factor, reflecting either a reduction of mesolimbic projections or, alternatively, a lower presynaptic dopamine transporter expression per se. Here, we aimed to test the hypothesis of fewer mesolimbic projections as a risk factor by using dopamine synthesis capacity as a proxy of dopaminergic terminal density. Furthermore, previous studies have demonstrated a reduction of fronto-striatal connectivity to be associated with increased risk of impulsive-compulsive behaviour in Parkinson's disease. Therefore, another aim of this study was to investigate the relationship between severity of impulsive-compulsive behaviour, dopamine synthesis capacity and fronto-striatal connectivity. Eighty participants underwent resting state functional MRI and anatomical T1-weighted images [mean age: 68 ± 9.9 years, 67% male (patients)]. In 59 participants, 18F-DOPA-PET was obtained and voxel-wise Patlak slopes indicating dopamine synthesis capacity were calculated. All participants completed the QUIP-RS questionnaire, a well validated test to quantify severity of impulsive-compulsive behaviour in Parkinson's disease. A voxel-wise correlation analysis between dopamine synthesis capacity and QUIP-RS score was calculated for striatal regions. To investigate the relationship between symptom severity and functional connectivity, voxel-wise correlations were performed. A negative correlation was found between dopamine synthesis capacity and QUIP-RS score in the nucleus accumbens (r = -0.57, P = 0.001), a region functionally connected to the rostral anterior cingulate cortex. The connectivity strength was modulated by QUIP-RS, i.e. patients with more severe impulsive-compulsive behaviours had a weaker functional connectivity between rostral anterior cingulate cortex and the nucleus accumbens. In addition, cortical thickness and severity of impulsive-compulsive behaviour were positively correlated in the subgenual rostral anterior cingulate cortex. We found three factors to be associated with severity of impulsive-compulsive behaviour: (i) decreased dopamine synthesis capacity in the nucleus accumbens; (ii) decreased functional connectivity of the rostral anterior cingulate cortex with the nucleus accumbens; and (iii) increased cortical thickness of the subgenual rostral anterior cingulate cortex. Rather than a downregulation of dopamine transporters, a reduction of mesolimbic dopaminergic projections in conjunction with a dysfunctional rostral anterior cingulate cortex-a region known to play a key role in impulse control-could be the most crucial neurobiological risk factor for the development of impulsive-compulsive behaviours in patients with Parkinson's disease under dopamine replacement therapy.
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Affiliation(s)
- Jochen Hammes
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Hendrik Theis
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Kathrin Giehl
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Merle C Hoenig
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Andrea Greuel
- Department of Neurology, University Hospital of Marburg, Germany
| | - Marc Tittgemeyer
- Max Planck Institute for Metabolism Research, Cologne, Germany.,Cologne Cluster of Excellence in Cellular Stress and Aging-Associated Disease (CECAD), University of Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital of Marburg, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany
| | - Alexander Drzezga
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Germany
| | - Carsten Eggers
- Department of Neurology, University Hospital of Marburg, Germany
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Germany
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32
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Strafella AP. Mesolimbic dopamine and anterior cingulate cortex connectivity changes lead to impulsive behaviour in Parkinson's disease. Brain 2019; 142:496-498. [PMID: 30810212 DOI: 10.1093/brain/awz010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Antonio P Strafella
- The Edmond J. Safra Program in Parkinson's Disease and Movement Disorder Unit, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, Canada.,Krembil Research Institute, University Health Network, University of Toronto, Ontario, Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Ontario, Canada
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33
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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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Prasad S, Reddam VR, Stezin A, Yadav R, Saini J, Pal PK. Abnormal Subcortical Volumes and Cortical Thickness in Parkinson's Disease with Impulse Control Disorders. Ann Indian Acad Neurol 2019; 22:426-431. [PMID: 31736563 PMCID: PMC6839310 DOI: 10.4103/aian.aian_325_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 08/14/2018] [Accepted: 08/18/2018] [Indexed: 11/04/2022] Open
Abstract
Background The occurrence of impulse control disorders (ICDs) in Parkinson's disease (PD) is frequently attributed to dopamine replacement therapy. However, not all patients who receive medication develop ICDs. Recent imaging studies have suggested specific neuroanatomical abnormalities in patients with PD and ICD. Objectives This study aims to identify changes in volumes of subcortical structures and cortical thickness specific to patients with PD and ICDs. Methodology A total of 11 patients with PD and ICD (PDICD(+)), 15 patients with PD without ICD (PDICD(-)), and 15 healthy controls were analyzed in this study. ICDs were diagnosed and quantified using the Questionnaire for Impulsive-Compulsive Disorders in PD-Rating Scale (QUIP-RS). Structural imaging was performed on a 3T scanner; volumes of subcortical structures and cortical thickness were obtained using first in FSL and FreeSurfer. Results Significant volume loss of the nucleus accumbens was observed in the PDICD(+) group. Several areas of significant cortical thinning were observed in the PDICD(+) group in comparison PDICD(-) group. Thinning of the left middle temporal gyrus, transverse temporal gyrus, and bilateral temporal poles was observed in the PDICD(+) group. No correlations were observed between QUIP-RS scores and areas of cortical thinning. Conclusions The PDICD(+) group has specific neuroanatomical variations in the nucleus accumbens and temporal lobes, which may contribute to the development of ICD and perhaps predispose a patient to ICDs on exposure to dopamine replacement therapy.
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Affiliation(s)
- Shweta Prasad
- Department of Clinical Neurosciences, Bengaluru, Karnataka, India.,Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Venkateswara Reddy Reddam
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Albert Stezin
- Department of Clinical Neurosciences, Bengaluru, Karnataka, India.,Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
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35
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Sleep disturbances and gastrointestinal dysfunction are associated with thalamic atrophy in Parkinson's disease. BMC Neurosci 2019; 20:55. [PMID: 31640554 PMCID: PMC6805461 DOI: 10.1186/s12868-019-0537-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 10/12/2019] [Indexed: 01/18/2023] Open
Abstract
Background Non-motor symptoms are common aspects of Parkinson’s disease (PD) occurring even at the prodromal stage of the disease and greatly affecting the quality of life. Here, we investigated whether non-motor symptoms burden was associated with cortical thickness and subcortical nuclei volume in PD patients. Methods We studied 41 non-demented PD patients. Non-motor symptoms burden was assessed using the Non-Motor Symptoms Scale grading (NMSS). Cortical thickness and subcortical nuclei volume analyses were carried out using Free-Surfer. PD patients were divided into two groups according to the NMSS grading: mild to moderate (NMSS: 0–40) and severe (NMSS: ≥ 41) non-motor symptoms. Results Thalamic atrophy was associated with higher NMSQ and NMSS total scores. The non-motor symptoms that drove this correlation were sleep/fatigue and gastrointestinal tract dysfunction. We also found that PD patients with severe non-motor symptoms had significant thalamic atrophy compared to the group with mild to moderate non-motor symptoms. Conclusions Our findings show that greater non-motor symptom burden is associated with thalamic atrophy in PD. Thalamus plays an important role in processing sensory information including visceral afferent from the gastrointestinal tract and in regulating states of sleep and wakefulness.
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36
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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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Abstract
In addition to motor symptoms, behavioural complications are commonly found in patients with Parkinson's disease (PD). Behavioural complications, including depression, anxiety, apathy, impulse control disorder and psychosis, together have a large impact on PD patient's quality of life. Many neuroimaging studies using PET, SPECT and MRI techniques have been conducted to study the underlying neural mechanisms of PD pathogenesis and pathophysiology in relation to its behavioural complications. This review will survey these PET, SPECT and MRI studies to describe the current understanding of the neuro-chemical, functional and structural changes associated with behavioural complications in PD patients.
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38
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Abstract
Purpose of Review Parkinson’s disease (PD) has a wide spectrum of symptoms including the presence of psychiatric disease. At present, most treatment plans, comprised of dopaminergic drugs, are chronic and complex. Though dopaminergic agents are quite efficient in managing the motor aspects of the disease, chronic pharmacotherapy specifically with dopamine receptor agonists has been highly linked to the occurrence of Impulse Compulsive disorder (ICD), which can be problematic for individual patients. Recent Findings Much of what is known today about PD-related ICD stems from brain imaging studies, however, evidence is not quite conclusive. Research in the field has been focused on identifying the underlying mechanisms of PD-related ICD and understanding the functions of the structures involved in the reward network. Summary This article presents an update of recent findings from key neuroimaging studies in PD-related ICD, discusses results from controversial studies, and identifies areas for future research in the field.
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Affiliation(s)
- Andreas-Antonios Roussakis
- Neurology Imaging Unit, Imperial College London - Hammersmith Hospital, 1st Floor, B-Block, Du Cane Road, London, W12 0NN, UK
| | - Nicholas P Lao-Kaim
- Neurology Imaging Unit, Imperial College London - Hammersmith Hospital, 1st Floor, B-Block, Du Cane Road, London, W12 0NN, UK
| | - Paola Piccini
- Neurology Imaging Unit, Imperial College London - Hammersmith Hospital, 1st Floor, B-Block, Du Cane Road, London, W12 0NN, UK.
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39
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Li M, Liu Y, Chen H, Hu G, Yu S, Ruan X, Luo Z, Wei X, Xie Y. Altered Global Synchronizations in Patients With Parkinson's Disease: A Resting-State fMRI Study. Front Aging Neurosci 2019; 11:139. [PMID: 31293411 PMCID: PMC6603131 DOI: 10.3389/fnagi.2019.00139] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 05/23/2019] [Indexed: 01/13/2023] Open
Abstract
Background: Abnormalities of cognitive and movement functions are widely reported in Parkinson’s disease (PD). The mechanisms therein are complicated and assumed to a coordination of various brain regions. This study explored the alterations of global synchronizations of brain activities and investigated the neural correlations of cognitive and movement function in PD patients. Methods: Thirty-five age-matched patients with PD and 35 normal controls (NC) were enrolled in resting-state functional magnetic resonance imaging (rs-fMRI) scanning. Degree centrality (DC) was calculated to measure the global synchronizations of brain activity for two groups. Neural correlations between DC and cognitive function Frontal Assessment Battery (FAB), as well as movement function Unified Parkinson’s Disease Rating Scale (UPDRS-III), were examined across the whole brain within Anatomical Automatic Labeling (AAL) templates. Results: In the PD group, increased DC was observed in left fusiform gyrus extending to inferior temporal gyrus, left middle temporal gyrus (MTG) and angular gyrus, while it was decreased in right inferior opercular-frontal gyrus extending to superior temporal gyrus (STG). The DC in a significant region of the fusiform gyrus was positively correlated with UPDRS-III scores in PD (r = 0.41, p = 0.0145). Higher FAB scores were shown in NC than PD (p < 0.0001). Correlative analysis of PD between DC and FAB showed negative results (p < 0.05) in frontal cortex, whereas positive in insula and cerebellum. As for the correlations between DC and UPDRS-III, negative correlation (p < 0.05) was observed in bilateral inferior parietal lobule (IPL) and right cerebellum, whereas positive correlation (p < 0.05) in bilateral hippocampus and para-hippocampus gyrus (p < 0.01). Conclusion: The altered global synchronizations revealed altered cognitive and movement functions in PD. The findings suggested that the global functional connectivity in fusiform gyrus, cerebellum and hippocampus gyrus are critical regions in the identification of cognitive and movement functions in PD. This study provides new insights on the interactions among global coordination of brain activity, cognitive and movement functions in PD.
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Affiliation(s)
- Mengyan Li
- Department of Neurology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yanjun Liu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Haobo Chen
- Department of Neurology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Guihe Hu
- Department of Neurology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Shaode Yu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Department of Radiation Oncology, Southwestern Medical Center, University of Texas, Dallas, TX, United States
| | - Xiuhang Ruan
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | | | - Xinhua Wei
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yaoqin Xie
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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40
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Vitale C, Amboni M, Erro R, Picillo M, Pellecchia MT, Barone P, Trojano L, Santangelo G. Parkinson’s disease management and impulse control disorders: current state and future perspectives. Expert Rev Neurother 2019; 19:495-508. [DOI: 10.1080/14737175.2019.1620603] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Carmine Vitale
- Department of Motor Sciences and Health, University “Parthenope”, Naples, Italy
| | - Marianna Amboni
- Neurodegenerative Diseases Center, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Roberto Erro
- Neurodegenerative Diseases Center, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Marina Picillo
- Neurodegenerative Diseases Center, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Maria Teresa Pellecchia
- Neurodegenerative Diseases Center, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Paolo Barone
- Neurodegenerative Diseases Center, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Luigi Trojano
- Department of Psychology, University “Luigi Vanvitelli”, Caserta, Italy
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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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Martini A, Weis L, Fiorenzato E, Schifano R, Cianci V, Antonini A, Biundo R. Impact of Cognitive Profile on Impulse Control Disorders Presence and Severity in Parkinson's Disease. Front Neurol 2019; 10:266. [PMID: 30967834 PMCID: PMC6439312 DOI: 10.3389/fneur.2019.00266] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 02/27/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Impulse control disorders (ICDs) and related behaviors are frequent in Parkinson's disease (PD). Mild cognitive impairment (PD-MCI) and dementia (PDD), both characterized by heterogeneous cognitive phenotypes, are also commonly reported in PD. However, the frequency and severity of ICD within PD cognitive states is unknown. Methods: Three hundred and twenty-six PD patients completed a comprehensive neuropsychological assessment and were classified as PD-MCI, PDD, or without cognitive alterations (PD-NC). The Minnesota impulsive disorders interview was used to ascertain the presence (ICD+) or absence (ICD–) of ICD. The Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease-Rating Scale was used to assess ICD severity. A subsample of 286 patients evaluated with the same cognitive tasks was selected in order to investigate the characteristics of ICD in PD cognitive phenotypes. Results: ICDs were present in 55% of PD-NC, in 50% of PD-MCI, and in 42% of PDD patients. Frequencies of ICD+ with attentive (ICD+: 20% vs. ICD–: 4%; p = 0.031) and executive impairments (ICD+: 44% vs. ICD–: 30%; p = 0.027) were higher in the PD-MCI and PDD subgroups, respectively. As expected, no differences were observed in the PD-NC. PD-MCI with attentive impairments presented higher percentage of ICD+ with deficits in the Trail Making Test B-A but not in the Digit Span Sequencing task. In PDD, executive failures concerned Similarities task (ICD+: 67%; ICD–: 29%; p = 0.035), with no differences between ICD+ and ICD– in the Stroop task. Conclusions: Prevalence and severity of ICDs and related behaviors do not differ in PD with different cognitive states. However, ICD+ are more likely to show deficits, respectively in attentive and in executive domains, specifically in the Trail Making Test B-A task for the attention and working memory domain in PD-MCI and in the Similarities task for the executive function domain in PDD. Prospective studies should evaluate if these tests can be used as screening tool for ICDs in PD.
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Affiliation(s)
- Alice Martini
- School of Psychology, Keele University, Newcastle-under-Lyme, United Kingdom
| | - Luca Weis
- IRCCS San Camillo Hospital, Venice, Italy
| | | | | | | | - Angelo Antonini
- Department of Neuroscience (DNS), University of Padua, Padua, Italy
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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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Let's call the whole thing off: evaluating gender and sex differences in executive function. Neuropsychopharmacology 2019; 44:86-96. [PMID: 30143781 PMCID: PMC6235899 DOI: 10.1038/s41386-018-0179-5] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 07/30/2018] [Accepted: 08/06/2018] [Indexed: 02/07/2023]
Abstract
The executive functions allow for purposeful, deliberate, and intentional interactions with the world-attention and focus, impulse control, decision making, and working memory. These measures have been correlated with academic outcomes and quality of life, and are impacted by deleterious environmental events throughout the life span, including gestational and early life insults. This review will address the topic of sex differences in executive function including a discussion of differences arising in response to developmental programming. Work on gender differences in human studies and sex differences in animal research will be reviewed. Overall, we find little support for significant gender or sex differences in executive function. An important variable that factors into the interpretation of potential sex differences include differing developmental trajectories. We conclude by discussing future directions for the field and a brief discussion of biological mechanisms.
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45
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Zhang Y, Liu S. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease. ACTA ACUST UNITED AC 2018. [PMID: 28622141 DOI: 10.1515/bmt-2016-0239] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Incorporating with machine learning technology, neuroimaging markers which extracted from structural Magnetic Resonance Images (sMRI), can help distinguish Alzheimer's Disease (AD) patients from Healthy Controls (HC). In the present study, we aim to investigate differences in atrophic regions between HC and AD and apply machine learning methods to classify these two groups. T1-weighted sMRI scans of 158 patients with AD and 145 age-matched HC were acquired from the ADNI database. Five kinds of parameters (i.e. cortical thickness, surface area, gray matter volume, curvature and sulcal depth) were obtained through the preprocessing steps. The recursive feature elimination (RFE) method for support vector machine (SVM) and leave-one-out cross validation (LOOCV) were applied to determine the optimal feature dimensions. Each kind of parameter was trained by SVM algorithm to acquire a classifier, which was used to classify HC and AD ultimately. Moreover, the ROC curves were depicted for testing the classifiers' performance and the SVM classifiers of two-dimensional spaces took the top two important features as classification features for separating HC and AD to the maximum extent. The results showed that the decreased cortical thickness and gray matter volume dramatically exhibited the trend of atrophy. The key differences between AD and HC existed in the cortical thickness and gray matter volume of the entorhinal cortex and medial orbitofrontal cortex. In terms of classification results, an optimal accuracy of 90.76% was obtained via multi-parameter combination (i.e. cortical thickness, gray matter volume and surface area). Meanwhile, the receiver operating characteristic (ROC) curves and area under the curve (AUC) were also verified multi-parameter combination could reach a better classification performance (AUC=0.94) after the SVM-RFE method. The results could be well prove that multi-parameter combination could provide more useful classified features from multivariate anatomical structure than single parameter. In addition, as cortical thickness and multi-parameter combination contained more important classified information with fewer feature dimensions after feature selection, it could be optimum to separate HC from AD to take the top two important features of them to construct SVM classifiers in two-dimensional space. The proposed work is a promising approach suggesting an important role for machine-learning based diagnostic image analysis for clinical practice.
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Affiliation(s)
- Yingteng Zhang
- School of Mathematics, South China University of Technology, Guangzhou 510640, China
| | - Shenquan Liu
- School of Mathematics, South China University of Technology, Guangzhou 510640, China
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46
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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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47
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Grall-Bronnec M, Victorri-Vigneau C, Donnio Y, Leboucher J, Rousselet M, Thiabaud E, Zreika N, Derkinderen P, Challet-Bouju G. Dopamine Agonists and Impulse Control Disorders: A Complex Association. Drug Saf 2018; 41:19-75. [PMID: 28861870 PMCID: PMC5762774 DOI: 10.1007/s40264-017-0590-6] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Impulse control disorders (ICDs) are a well-known adverse effect of dopamine agonists (DAAs). This critical review aims to summarize data on the prevalence and factors associated with the development of an ICD simultaneous to DAA use. A search of two electronic databases was completed from inception to July 2017. The search terms were medical subject headings (MeSH) terms including “dopamine agonists” AND “disruptive disorders”, “impulse control disorders”, or “conduct disorders”. Articles had to fulfill the following criteria to be included: (i) the target problem was an ICD; (ii) the medication was a dopaminergic drug; and (iii) the article was an original article. Of the potential 584 articles, 90 met the criteria for inclusion. DAAs were used in Parkinson’s disease (PD), restless legs syndrome (RLS) or prolactinoma. The prevalence of ICDs ranged from 2.6 to 34.8% in PD patients, reaching higher rates in specific PD populations; a lower prevalence was found in RLS patients. We found only two studies about prolactinoma. The most robust findings relative to the factors associated with the development of an ICD included the type of DAA, the dosage, male gender, a younger age, a history of psychiatric symptoms, an earlier onset of disease, a longer disease duration, and motor complications in PD. This review suggests that DAA use is associated with an increased risk in the occurrence of an ICD, under the combined influence of various factors. Guidelines to help prevent and to treat ICDs when required do exist, although further studies are required to better identify patients with a predisposition.
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Affiliation(s)
- Marie Grall-Bronnec
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France.
- Université de Nantes, Université de Tours, Inserm U1246, Nantes, France.
| | - Caroline Victorri-Vigneau
- Université de Nantes, Université de Tours, Inserm U1246, Nantes, France
- Department of Pharmacology, CHU Nantes, Center for Evaluation and Information on Pharmacodependence, Nantes, France
| | - Yann Donnio
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
| | - Juliette Leboucher
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
| | - Morgane Rousselet
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
- Université de Nantes, Université de Tours, Inserm U1246, Nantes, France
| | - Elsa Thiabaud
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
| | - Nicolas Zreika
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
| | - Pascal Derkinderen
- Department of Neurology, CHU Nantes, Nantes, France
- Université de Nantes, Inserm U913, Nantes, France
| | - Gaëlle Challet-Bouju
- Clinical Investigation Unit "Behavioral Addictions/Complex Affective Disorders", Addictology and Psychiatry Department, CHU Nantes, Hospital Saint Jacques, 85, rue Saint Jacques, 44093, Nantes Cedex 1, France
- Université de Nantes, Université de Tours, Inserm U1246, Nantes, France
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48
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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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49
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Martini A, Dal Lago D, Edelstyn NMJ, Grange JA, Tamburin S. Impulse Control Disorder in Parkinson's Disease: A Meta-Analysis of Cognitive, Affective, and Motivational Correlates. Front Neurol 2018; 9:654. [PMID: 30233478 PMCID: PMC6127647 DOI: 10.3389/fneur.2018.00654] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 07/23/2018] [Indexed: 01/08/2023] Open
Abstract
Background: In Parkinson's disease (PD), impulse control disorders (ICDs) develop as side-effect of dopaminergic replacement therapy (DRT). Cognitive, affective, and motivational correlates of ICD in medicated PD patients are debated. Here, we systematically reviewed and meta-analyzed the evidence for an association between ICD in PD and cognitive, affective, and motivational abnormalities. Methods: A systematic review and meta-analysis was performed on PubMed, Science Direct, ISI Web of Science, Cochrane, EBSCO for studies published between 1-1-2000 and 8-3-2017 comparing cognitive, affective, and motivational measures in PD patients with ICD (ICD+) vs. those without ICD (ICD-). Exclusion criteria were conditions other than PD, substance and/or alcohol abuse, dementia, drug naïve patients, cognition assessed by self-report tools. Standardized mean difference (SMD) was used, and random-effect model applied. Results: 10,200 studies were screened (title, abstract), 79 full-texts were assessed, and 25 were included (ICD+: 625 patients; ICD-: 938). Compared to ICD-, ICD+ showed worse performance reward-related decision-making (0.42 [0.02, 0.82], p = 0.04) and set-shifting tasks (SMD = -0.49 [95% CI -0.78, -0.21], p = 0.0008). ICD in PD was also related to higher self-reported rate of depression (0.35 [0.16, 0.54], p = 0.0004), anxiety (0.43 [0.18, 0.68], p = 0.0007), anhedonia (0.26 [0.01, 0.50], p = 0.04), and impulsivity (0.79 [0.50, 1.09], p < 0.00001). Heterogeneity was low to moderate, except for depression (I2 = 61%) and anxiety (I2 = 58%). Conclusions: ICD in PD is associated with worse set-shifting and reward-related decision-making, and increased depression, anxiety, anhedonia, and impulsivity. This is an important area for further studies as ICDs have negative impact on the quality of life of patients and their caregivers.
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Affiliation(s)
- Alice Martini
- School of Psychology, Keele University, Newcastle-under-Lyme, United Kingdom
| | - Denise Dal Lago
- School of Psychology, Keele University, Newcastle-under-Lyme, United Kingdom
| | - Nicola M J Edelstyn
- School of Psychology, Keele University, Newcastle-under-Lyme, United Kingdom
| | - James A Grange
- School of Psychology, Keele University, Newcastle-under-Lyme, United Kingdom
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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50
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Jakabek D, Power BD, Macfarlane MD, Walterfang M, Velakoulis D, van Westen D, Lätt J, Nilsson M, Looi JCL, Santillo AF. Regional structural hypo- and hyperconnectivity of frontal-striatal and frontal-thalamic pathways in behavioral variant frontotemporal dementia. Hum Brain Mapp 2018; 39:4083-4093. [PMID: 29923666 DOI: 10.1002/hbm.24233] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 04/09/2018] [Accepted: 05/15/2018] [Indexed: 12/14/2022] Open
Abstract
Behavioral variant frontotemporal dementia (bvFTD) has been predominantly considered as a frontotemporal cortical disease, with limited direct investigation of frontal-subcortical connections. We aim to characterize the grey and white matter components of frontal-thalamic and frontal-striatal circuits in bvFTD. Twenty-four patients with bvFTD and 24 healthy controls underwent morphological and diffusion imaging. Subcortical structures were manually segmented according to published protocols. Probabilistic pathways were reconstructed separately from the dorsolateral, orbitofrontal and medial prefrontal cortex to the striatum and thalamus. Patients with bvFTD had smaller cortical and subcortical volumes, lower fractional anisotropy, and higher mean diffusivity metrics, which is consistent with disruptions in frontal-striatal-thalamic pathways. Unexpectedly, regional volumes of the striatum and thalamus connected to the medial prefrontal cortex were significantly larger in bvFTD (by 135% in the striatum, p = .032, and 217% in the thalamus, p = .004), despite smaller dorsolateral prefrontal cortex connected regional volumes (by 67% in the striatum, p = .002, and 65% in the thalamus, p = .020), and inconsistent changes in orbitofrontal cortex connected regions. These unanticipated findings may represent compensatory or maladaptive remodeling in bvFTD networks. Comparisons are made to other neuropsychiatric disorders suggesting a common mechanism of changes in frontal-subcortical networks; however, longitudinal studies are necessary to test this hypothesis.
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Affiliation(s)
- David Jakabek
- Graduate School of Medicine, University of Wollongong, Wollongong, Australia
| | - Brian D Power
- School of Medicine, The University of Notre Dame Australia, Fremantle, Australia; Clinical Research Centre, North Metropolitan Health Service - Mental Health, Perth, Australia
| | - Matthew D Macfarlane
- Graduate School of Medicine, University of Wollongong, Wollongong, Australia.,Illawarra Shoalhaven Local Health District, Wollongong, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Danielle van Westen
- Centre for Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Jimmy Lätt
- Centre for Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Markus Nilsson
- Department of Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Jeffrey C L Looi
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Australia.,Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
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