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Samantaray T, Saini J, Pal PK, Gupta CN. Brain connectivity for subtypes of parkinson's disease using structural MRI. Biomed Phys Eng Express 2024; 10:025012. [PMID: 38224618 DOI: 10.1088/2057-1976/ad1e77] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/15/2024] [Indexed: 01/17/2024]
Abstract
Objective. Delineating Parkinson's disease (PD) into distinct subtypes is a major challenge. Most studies use clinical symptoms to label PD subtypes while our work uses an imaging-based data-mining approach to subtype PD. Our study comprises two major objectives - firstly, subtyping Parkinson's patients based on grey matter information from structural magnetic resonance imaging scans of human brains; secondly, comparative structural brain connectivity analysis of PD subtypes derived from the former step.Approach. Source-based-morphometry decomposition was performed on 131 Parkinson's patients and 78 healthy controls from PPMI dataset, to derive at components (regions) with significance in disease and high effect size. The loading coefficients of significant components were thresholded for arriving at subtypes. Further, regional grey matter maps of subtype-specific subjects were separately parcellated and employed for construction of subtype-specific association matrices using Pearson correlation. These association matrices were binarized using sparsity threshold and leveraged for structural brain connectivity analysis using network metrics.Main results. Two distinct Parkinson's subtypes (namely A and B) were detected employing loadings of two components satisfying the selection criteria, and a third subtype (AB) was detected, common to these two components. Subtype A subjects were highly weighted in inferior, middle and superior frontal gyri while subtype B subjects in inferior, middle and superior temporal gyri. Network metrics analyses through permutation test revealed significant inter-subtype differences (p < 0.05) in clustering coefficient, local efficiency, participation coefficient and betweenness centrality. Moreover, hubs were obtained using betweenness centrality and mean network degree.Significance. MRI-based data-driven subtypes show frontal and temporal lobes playing a key role in PD. Graph theory-driven brain network analyses could untangle subtype-specific differences in structural brain connections showing differential network architecture. Replication of these initial results in other Parkinson's datasets may be explored in future. Clinical Relevance- Investigating structural brain connections in Parkinson's disease may provide subtype-specific treatment.
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Affiliation(s)
- Tanmayee Samantaray
- Neural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, 781039, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, 560029, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neuro Sciences, Bengaluru, 560029, India
| | - Cota Navin Gupta
- Neural Engineering Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, 781039, India
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2
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Liu J, Zou X, Gu J, Yu Q, Dong Z, Zuo H, Chen X, Du X, Zou D, Han Y, Peng J, Cheng O. Altered connectivity in the cognitive control-related prefrontal cortex in Parkinson's disease with rapid eye movement sleep behavior disorder. Brain Imaging Behav 2023; 17:702-714. [PMID: 37721659 DOI: 10.1007/s11682-023-00796-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2023] [Indexed: 09/19/2023]
Abstract
Rapid eye movement sleep behavior disorder (RBD) frequently occurs in Parkinson's disease (PD), however, the exact pathophysiological mechanism is not clear. The prefrontal cortex (PFC), especially ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), and inferior frontal gyrus (IFG) which may play roles by regulating cognitive control processes. The purpose of this study was to investigate whether there is abnormal functional connectivity (FC) maps and volume changes in PD with RBD(PD-RBD). We recruited 20 PD-RBD, 20 PD without RBD (PD-nRBD), and 20 normal controls (NC). We utilized resting-state functional Magnetic Resonance Imaging (rs-MRI) to explore FC changes based on regions of interest (VLPFC, DLPFC, and IFG), and used voxel-based morphology technology to analyze whole-brain volumes by 3D-T1 structural MRI. Except the REM sleep behavioral disorders questionnaire (RBDSQ), the PD-RBD showed lower visuospatial/executive and attention scores than the NC group. The RBDSQ scores were significantly positively correlated with zFC of right DLPFC to bilateral posterior cingulate cortex (PCC) (P = 0.0362, R = 0.4708, AlphaSim corrected) and also significantly positively correlated with zFC of left VLPFC to right inferior temporal (P = 0.0157, R = 0.5323, AlphaSim corrected) in PD-RBD group. Furthermore, abnormal correlations with zFC values were also found in some cognitive subdomains in PD-RBD group. The study may suggest that in PD-RBD patients, the presence of RBD may be related to the abnormal FC of VLPFC and DLPFC, meanwhile, the abnormal FC of DLPFC and IFG may be related to the mechanisms of cognitive impairment.
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Affiliation(s)
- Jinjing Liu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
- Department of Rehabilitation Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Xiaoya Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Jinming Gu
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Qian Yu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Zhaoying Dong
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Hongzhou Zuo
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaocui Chen
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xinyi Du
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Dezhi Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Yu Han
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Juan Peng
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
| | - Oumei Cheng
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
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Nakata T, Shimada K, Iba A, Oda H, Terashima A, Koide Y, Kawasaki R, Yamada T, Ishii K. Correlation between noise pareidolia test scores for visual hallucinations and regional cerebral blood flow in dementia with Lewy bodies. Ann Nucl Med 2022; 36:384-392. [DOI: 10.1007/s12149-022-01717-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 01/10/2022] [Indexed: 01/08/2023]
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4
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Marques A, Taylor NL, Roquet D, Beze S, Chassain C, Pereira B, O'Callaghan C, Lewis SJG, Durif F. Structural and Functional Correlates of Hallucinations and Illusions in Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2021; 12:397-409. [PMID: 34744050 DOI: 10.3233/jpd-212838] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Visual illusions (VI) in Parkinson's disease (PD) are generally considered as an early feature of the psychosis spectrum leading to fully formed visual hallucinations (VH), although this sequential relationship has not been clearly demonstrated. OBJECTIVE We aimed to determine whether there are any overlapping, potentially graded patterns of structural and functional connectivity abnormalities in PD with VI and with VH. Such a finding would argue for a continuum between these entities, whereas distinct imaging features would suggest different neural underpinnings for the phenomena. METHODS In this case control study, we compared structural and resting state functional MRI brain patterns of PD patients with VH (PD-H, n = 20), with VI (PD-I, n = 19), and without VH or VI (PD-C, n = 23). RESULTS 1) PD-H had hypo-connectivity between the ILO and anterior cingulate precuneus and parahippocampal gyrus compared to PD-C and PD-I; 2) In contrast, PD-I had hyper-connectivity between the inferior frontal gyrus and the postcentral gyrus compared to PD-C and PD-H. Moreover, PD-I had higher levels of functional connectivity between the amygdala, hippocampus, insula, and fronto-temporal regions compared to PD-H, together with divergent patterns toward the cingulate. 3) Both PD-I and PD-H had functional hypo-connectivity between the lingual gyrus and the parahippocampal region vs. PD-C, and no significant grey matter volume differences was observed between PD-I and PD-H. CONCLUSION Distinct patterns of functional connectivity characterized VI and VH in PD, suggesting that these two perceptual experiences, while probably linked and driven by at least some similar mechanisms, could reflect differing neural dysfunction.
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Affiliation(s)
- Ana Marques
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia.,Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
| | - Natasha L Taylor
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Daniel Roquet
- Frontiers, Brain andMind Center, University of Sydney, Camperdown, Sydney, Australia
| | - Steven Beze
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
| | - Carine Chassain
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, NeuroradiologyDepartment, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Bruno Pereira
- Clermont-Ferrand University Hospital, Biostatistics Department, Clermont-Ferrand, France
| | - Claire O'Callaghan
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Simon J G Lewis
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Franck Durif
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
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Zhong M, Wu Z, Jiang X, Shen B, Zhu J, Zhang L. Knowledge domain and emerging trends in visual hallucination research: A scientometric analysis. World J Psychiatry 2021; 11:491-506. [PMID: 34513610 PMCID: PMC8394690 DOI: 10.5498/wjp.v11.i8.491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/29/2021] [Accepted: 07/05/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Visual hallucination (VH) refers to a spontaneous visual perception without corresponding external stimuli and often occurs in ophthalmological and neuropsychiatric disorders. It is associated with poor quality of life, and increased patient hospitalization and nursing home admission. To date, a scientometric analysis of research on VH is lacking.
AIM To objectively summarize the features of VH research and gain insights into the emerging trends in research on VH.
METHODS CiteSpace V was used in this article. Publication outputs, document types, geographic distributions, co-authorship status, research hotspots, and co-citation status were analyzed. A total of 2176 original articles and 465 reviews were included in the database downloaded from the Web of Science Core Collection. We selected the top 50 most cited or occurring articles or items to create a visualized network with a 1-year interval. In the document co-citation analysis stage, we performed clustering analysis on co-cited references, and log likelihood tests were used to name the clusters.
RESULTS The results showed that most publications can be classified into neurology, sports, and ophthalmology studies. In addition, North America, Europe, Asia and Australia published the most documents. Some well-known authors have always had a leading role in this field; meanwhile, new authors keep emerging. A relatively stable cooperation has been formed among many authors. Furthermore, neuropsychiatric symptom and functional connectivity are the top hotspots. Research on VH in dementia with Lewy bodies and Parkinson’s disease (PD) have received much attention. Studies on VH in PD are likely to be the new emerging trends in the future, especially the mechanisms of VH.
CONCLUSION Research on VH has formed a complete system. More large-scale clinical and in-depth basic research are required to better understand the mechanisms underlying VH, which will contribute to our understanding of the pathophysiology and therapeutic options for VH.
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Affiliation(s)
- Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Zhuang Wu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Bo Shen
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Jun Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
- Institute of Neuropsychiatric Diseases, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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6
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Pezzoli S, Sánchez-Valle R, Solanes A, Kempton MJ, Bandmann O, Shin JI, Cagnin A, Goldman JG, Merkitch D, Firbank MJ, Taylor JP, Pagonabarraga J, Kulisevsky J, Blanc F, Verdolini N, Venneri A, Radua J. Neuroanatomical and cognitive correlates of visual hallucinations in Parkinson's disease and dementia with Lewy bodies: Voxel-based morphometry and neuropsychological meta-analysis. Neurosci Biobehav Rev 2021; 128:367-382. [PMID: 34171324 DOI: 10.1016/j.neubiorev.2021.06.030] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 04/30/2021] [Accepted: 06/19/2021] [Indexed: 02/04/2023]
Abstract
Visual hallucinations (VH) are common in Parkinson's disease and dementia with Lewy bodies, two forms of Lewy body disease (LBD), but the neural substrates and mechanisms involved are still unclear. We conducted meta-analyses of voxel-based morphometry (VBM) and neuropsychological studies investigating the neuroanatomical and cognitive correlates of VH in LBD. For VBM (12 studies), we used Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), including statistical parametric maps for 50% of the studies. For neuropsychology (35 studies), we used MetaNSUE to consider non-statistically significant unreported effects. VH were associated with smaller grey matter volume in occipital, frontal, occipitotemporal, and parietal areas (peak Hedges' g -0.34 to -0.49). In patients with Parkinson's disease without dementia, VH were associated with lower verbal immediate memory performance (Hedges' g -0.52). Both results survived correction for multiple comparisons. Abnormalities in these brain regions might reflect dysfunctions in brain networks sustaining visuoperceptive, attention, and executive abilities, with the latter also being at the basis of poor immediate memory performance.
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Affiliation(s)
- Stefania Pezzoli
- Department of Neuroscience, University of Sheffield, Sheffield, UK; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Aleix Solanes
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neurosciences, King's College London, UK
| | - Oliver Bandmann
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Jennifer G Goldman
- Shirley Ryan Ability Lab Parkinson's Disease and Movement Disorders program, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Departments of Physical Medicine and Neurology, Chicago, IL, USA
| | - Doug Merkitch
- Shirley Ryan Ability Lab Parkinson's Disease and Movement Disorders program, Chicago, IL, USA
| | - Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain; Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain; Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain; Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain; Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Frederic Blanc
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Geriatrics Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Memory Resources and Research Centre (CMRR), University Hospital of Strasbourg, Strasbourg, France; Team IMIS/Neurocrypto, French National Center for Scientific Research (CNRS), ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg (FMTS), University of Strasbourg, Strasbourg, France
| | - Norma Verdolini
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, UK; Department of Life Sciences, Brunel University London, London, UK
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; 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.
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7
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Kok JG, Leemans A, Teune LK, Leenders KL, McKeown MJ, Appel-Cresswell S, Kremer HPH, de Jong BM. Structural Network Analysis Using Diffusion MRI Tractography in Parkinson's Disease and Correlations With Motor Impairment. Front Neurol 2020; 11:841. [PMID: 32982909 PMCID: PMC7492210 DOI: 10.3389/fneur.2020.00841] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 07/07/2020] [Indexed: 11/13/2022] Open
Abstract
Functional impairment of spatially distributed brain regions in Parkinson's disease (PD) suggests changes in integrative and segregative network characteristics, for which novel analysis methods are available. To assess underlying structural network differences between PD patients and controls, we employed MRI T1 gray matter segmentation and diffusion MRI tractography to construct connectivity matrices to compare patients and controls with data originating from two different centers. In the Dutch dataset (Data-NL), 14 PD patients, and 15 healthy controls were analyzed, while 19 patients and 18 controls were included in the Canadian dataset (Data-CA). All subjects underwent T1 and diffusion-weighted MRI. Patients were assessed with Part 3 of the Unified Parkinson's Disease Rating Scale (UPDRS). T1 images were segmented using FreeSurfer, while tractography was performed using ExploreDTI. The regions of interest from the FreeSurfer segmentation were combined with the white matter streamline sets resulting from the tractography, to construct connectivity matrices. From these matrices, both global and local efficiencies were calculated, which were compared between the PD and control groups and related to the UPDRS motor scores. The connectivity matrices showed consistent patterns among the four groups, without significant differences between PD patients and control subjects, either in Data-NL or in Data-CA. In Data-NL, however, global and local efficiencies correlated negatively with UPDRS scores at both the whole-brain and the nodal levels [false discovery rate (FDR) 0.05]. At the nodal level, particularly, the posterior parietal cortex showed a negative correlation between UPDRS and local efficiency, while global efficiency correlated negatively with the UPDRS in the sensorimotor cortex. The spatial patterns of negative correlations between UPDRS and parameters for network efficiency seen in Data-NL suggest subtle structural differences in PD that were below sensitivity thresholds in Data-CA. These correlations are in line with previously described functional differences. The methodological approaches to detect such differences are discussed.
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Affiliation(s)
- Jelmer G Kok
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands
| | - Laura K Teune
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Klaus L Leenders
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Martin J McKeown
- Pacific Parkinson's Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Silke Appel-Cresswell
- Pacific Parkinson's Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Hubertus P H Kremer
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Bauke M de Jong
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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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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Rollins CP, Garrison JR, Simons JS, Rowe JB, O'Callaghan C, Murray GK, Suckling J. Meta-analytic Evidence for the Plurality of Mechanisms in Transdiagnostic Structural MRI Studies of Hallucination Status. EClinicalMedicine 2019; 8:57-71. [PMID: 31193632 PMCID: PMC6537703 DOI: 10.1016/j.eclinm.2019.01.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/15/2019] [Accepted: 01/27/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Hallucinations are transmodal and transdiagnostic phenomena, occurring across sensory modalities and presenting in psychiatric, neurodegenerative, neurological, and non-clinical populations. Despite their cross-category occurrence, little empirical work has directly compared between-group neural correlates of hallucinations. METHODS We performed whole-brain voxelwise meta-analyses of hallucination status across diagnoses using anisotropic effect-size seed-based d mapping (AES-SDM), and conducted a comprehensive systematic review in PubMed and Web of Science until May 2018 on other structural correlates of hallucinations, including cortical thickness and gyrification. FINDINGS 3214 abstracts were identified. Patients with psychiatric disorders and hallucinations (eight studies) exhibited reduced gray matter (GM) in the left insula, right inferior frontal gyrus, left anterior cingulate/paracingulate gyrus, left middle temporal gyrus, and increased in the bilateral fusiform gyrus, while patients with neurodegenerative disorders with hallucinations (eight studies) showed GM decreases in the left lingual gyrus, right supramarginal gyrus/parietal operculum, left parahippocampal gyrus, left fusiform gyrus, right thalamus, and right lateral occipital gyrus. Group differences between psychiatric and neurodegenerative hallucination meta-analyses were formally confirmed using Monte Carlo randomizations to determine statistical significance, and a jackknife sensitivity analysis established the reproducibility of results across nearly all study combinations. For other structural measures (28 studies), the most consistent findings associated with hallucination status were reduced cortical thickness in temporal gyri in schizophrenia and altered hippocampal volume in Parkinson's disease and dementia. Additionally, increased severity of hallucinations in schizophrenia correlated with GM reductions within the left superior temporal gyrus, right middle temporal gyrus, bilateral supramarginal and angular gyri. INTERPRETATION Distinct patterns of neuroanatomical alteration characterize hallucination status in patients with psychiatric and neurodegenerative diseases, suggesting a plurality of anatomical signatures. This approach has implications for treatment, theoretical frameworks, and generates refutable predictions for hallucinations in other diseases and their occurrence within the general population. FUNDING None.
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Affiliation(s)
- Colleen P.E. Rollins
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Corresponding author at: Department of Psychiatry, University of Cambridge, Cambridge CB2 0SP, UK
| | - Jane R. Garrison
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology and Behavioural & Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Jon S. Simons
- Department of Psychology and Behavioural & Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Graham K. Murray
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
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Considering total intracranial volume and other nuisance variables in brain voxel based morphometry in idiopathic PD. Brain Imaging Behav 2018; 12:1-12. [PMID: 28070745 DOI: 10.1007/s11682-016-9656-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Voxel-based morphometry (VBM) studies of Parkinson's disease (PD), have yielded mixed results, possibly due to several studies not accounting for common nuisance variables (age, sex, and total intracranial volume [TICV]). TICV is particularly important because there is evidence for larger TICV in PD. We explored the influence of these covariates on VBM by 1) comparing PD patients and controls before adding covariates, after adding age and sex, and after adding age, sex and TICV, and 2) by comparing controls split into large and small TICV before and after controlling for TICV, with age and sex accounted for in both analyses. Experiment 1 consisted of 40 PD participants and 40 controls. Experiment 2 consisted of 88 controls median split by TICV. All participants completed an MRI on a 3 T scanner. TICV was calculated as gray + white + CSF from Freesurfer. VBM was performed on T1 images using an optimized VBM protocol. Volume differences were assessed using a voxel-wise GLM analysis. Clusters were considered significant at >10 voxels and p < .05 corrected for familywise error. Before controlling for covariates, PD showed reduced GM in temporal, occipital, and cerebellar regions. Controlling for age and sex did not affect the pattern of significance. Controlling for TICV reduced the size of the significant region although it still contained portions of bilateral temporal lobes, occipital lobes and cerebellum. The large TICV group showed reduced volume in temporal, parietal, and cerebellar areas. None of these differences survived controlling for TICV. This demonstrates that TICV influences VBM results independently from other factors. Controlling for TICV in VBM studies is recommended.
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11
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Kübel S, Stegmayer K, Vanbellingen T, Walther S, Bohlhalter S. Deficient supplementary motor area at rest: Neural basis of limb kinetic deficits in Parkinson's disease. Hum Brain Mapp 2018; 39:3691-3700. [PMID: 29722099 DOI: 10.1002/hbm.24204] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 04/16/2018] [Accepted: 04/23/2018] [Indexed: 12/14/2022] Open
Abstract
Parkinson's disease (PD) patients frequently suffer from limb kinetic apraxia (LKA) affecting quality of life. LKA denotes an impairment of precise and independent finger movements beyond bradykinesia, which is reliably assessed by coin rotation (CR) task. BOLD fMRI detected activation of a left inferior parietal-premotor praxis network in PD during CR. Here, we explored which network site is most critical for LKA using arterial spin labeling (ASL). Based on a hierarchical model, we hypothesized that LKA would predominantly affect the functional integrity of premotor areas including supplementary motor areas (SMA). Furthermore, we suspected that for praxis function with higher demand on temporal-spatial processing such as gesturing, inferior parietal lobule (IPL) upstream to premotor areas would be essential. A total of 21 PD patients and 20 healthy controls underwent ASL acquisition during rest. Behavioral assessment outside the scanner involved the CR, finger tapping task, and the test of upper limb apraxia (TULIA). Whole-brain analysis of activity at rest showed a significant reduction of CR-related perfusion in the left SMA of PD. Furthermore, the positive correlation between SMA perfusion and CR, seen in controls, was lost in patients. By contrast, TULIA was significantly associated with the perfusion of left IPL in both patients and controls. In conclusion, the findings suggest that LKA in PD are linked to an intrinsic disruption of the left SMA function, which may only be overcome by compensatory network activation. In addition, gestural performance relies on IPL which remains available for functional recruitment in early PD.
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Affiliation(s)
- Stefanie Kübel
- Neurocenter, Luzerner Kantonsspital, Spitalstrasse 31, Luzern 16, 6000, Switzerland
| | - Katharina Stegmayer
- University Hospital of Psychiatry, Bolligenstrasse 111, Bern 60, 3000, Switzerland
| | - Tim Vanbellingen
- Neurocenter, Luzerner Kantonsspital, Spitalstrasse 31, Luzern 16, 6000, Switzerland.,Gerontechnology and Rehabilitation Group, University of Bern, Murtenstrasse 50, Bern, 3008, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry, Bolligenstrasse 111, Bern 60, 3000, Switzerland
| | - Stephan Bohlhalter
- Neurocenter, Luzerner Kantonsspital, Spitalstrasse 31, Luzern 16, 6000, Switzerland.,Department of Clinical Research, University of Bern, Bern, 3000, Switzerland
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12
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Prell T. Structural and Functional Brain Patterns of Non-Motor Syndromes in Parkinson's Disease. Front Neurol 2018; 9:138. [PMID: 29593637 PMCID: PMC5858029 DOI: 10.3389/fneur.2018.00138] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/26/2018] [Indexed: 11/26/2022] Open
Abstract
Parkinson’s disease (PD) is a common, progressive and multisystem neurodegenerative disorder characterized by motor and non-motor symptoms. Advanced magnetic resonance imaging, positron emission tomography, and functional magnetic resonance imaging can render the view toward understanding the neural basis of these non-motor syndromes, as they help to understand the underlying pathophysiological abnormalities. This review provides an up-to-date description of structural and functional brain alterations in patients with PD with cognitive deficits, visual hallucinations, fatigue, impulsive behavior disorders, sleep disorders, and pain.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany
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13
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Hepp DH, Foncke EMJ, Olde Dubbelink KTE, van de Berg WDJ, Berendse HW, Schoonheim MM. Loss of Functional Connectivity in Patients with Parkinson Disease and Visual Hallucinations. Radiology 2017; 285:896-903. [DOI: 10.1148/radiol.2017170438] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Dagmar H. Hepp
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
| | - Elisabeth M. J. Foncke
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
| | - Kim T. E. Olde Dubbelink
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
| | - Wilma D. J. van de Berg
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
| | - Henk W. Berendse
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
| | - Menno M. Schoonheim
- From the Department of Neurology (D.H.H., E.M.J.F., K.T.E.O.D., H.W.B.) and Department of Anatomy and Neurosciences (D.H.H., W.D.J.v.d.B., M.M.S.), Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1108, Postbus 7057, 1007 MB Amsterdam, the Netherlands
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14
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Gu Q, Zhang H, Xuan M, Luo W, Huang P, Xia S, Zhang M. Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2017; 6:545-56. [PMID: 27176623 DOI: 10.3233/jpd-150729] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Patients with the postural instability and gait difficulty subtype (PIGD) of Parkinson's disease (PD) are a refractory challenge in clinical practice. Despite previous attempts that have been made at studying subtype-specific brain alterations across PD population, conclusive neuroimaging biomarkers on patients with the PIGD subtype are still lacking. Machine learning-based classifications are a promising tool for differential diagnosis that effectively integrate complex and multivariate data. OBJECTIVE Our present study aimed to introduce the machine learning-based automatic classification for the first time to distinguish patients with the PIGD subtype from those with the non-PIGD subtype of PD at the individual level. METHODS Fifty-two PD patients and forty-five normal controls (NCs) were recruited and underwent multi-modal MRI scans including a set of resting-state functional, 3D T1-weighted and diffusion tensor imaging sequences. By comparing the PD patients with the NCs, features that were not conducive to the subtype-specific classification were ruled out from massive brain features. We applied a support vector machine classifier with the recursive feature elimination method to multi-modal MRI data for selecting features with the best discriminating power, and evaluated the proposed classifier with the leave-one-out cross-validation. RESULTS Using this classifier, we obtained satisfactory diagnostic rates (accuracy = 92.31%, specificity = 96.97%, sensitivity = 84.21% and AUCmax = 0.9585). The diagnostic agreement evaluated by the Kappa test showed an almost perfect agreement with the existing clinical categorization (Kappa value = 0.83). CONCLUSIONS With these favorable results, our findings suggested the machine learning-based classification as an alternative technique to classifying clinical subtypes in PD.
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Affiliation(s)
- Quanquan Gu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huan Zhang
- Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, China
| | - Min Xuan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Luo
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shunren Xia
- Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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15
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Taddei RN, Cankaya S, Dhaliwal S, Chaudhuri KR. Management of Psychosis in Parkinson's Disease: Emphasizing Clinical Subtypes and Pathophysiological Mechanisms of the Condition. PARKINSON'S DISEASE 2017; 2017:3256542. [PMID: 29104810 PMCID: PMC5613459 DOI: 10.1155/2017/3256542] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 08/06/2017] [Indexed: 02/07/2023]
Abstract
Investigation into neuropsychiatric symptoms in Parkinson's disease (PD) is sparse and current drug development is mainly focused on the motor aspect of PD. The tight association of psychosis with an impaired quality of life in PD, together with an important underreporting of this comorbid condition, contributes to its actual insufficient assessment and management. Furthermore, the withdrawal from access to readily available treatment interventions is unacceptable and has an impact on PD prognosis. Despite its impact, to date no standardized guidelines to the adequate management of PD psychosis are available and they are therefore highly needed. Readily available knowledge on distinct clinical features as well as early biomarkers of psychosis in PD justifies the potential for its timely diagnosis and for early intervention strategies. Also, its specific characterisation opens up the possibility of further understanding the underlying pathophysiological mechanisms giving rise to more targeted therapeutic developments in the nearer future. A literature review on the most recent knowledge with special focus on specific clinical subtypes and pathophysiological mechanisms will not only contribute to an up to date practical approach of this condition for the health care providers, but furthermore open up new ideas for research in the near future.
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Affiliation(s)
- Raquel N. Taddei
- Maurice Wohl Clinical Neuroscience Institute and NIHR Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College Hospital, London, UK
| | - Seyda Cankaya
- Maurice Wohl Clinical Neuroscience Institute and NIHR Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College Hospital, London, UK
| | - Sandeep Dhaliwal
- Maurice Wohl Clinical Neuroscience Institute and NIHR Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College Hospital, London, UK
| | - K. Ray Chaudhuri
- Maurice Wohl Clinical Neuroscience Institute and NIHR Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College Hospital, London, UK
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16
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Damaged fiber tracts of the nucleus basalis of Meynert in Parkinson's disease patients with visual hallucinations. Sci Rep 2017; 7:10112. [PMID: 28860465 PMCID: PMC5579278 DOI: 10.1038/s41598-017-10146-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 08/04/2017] [Indexed: 01/29/2023] Open
Abstract
Damage to fiber tracts connecting the nucleus basalis of Meynert (NBM) to the cerebral cortex may underlie the development of visual hallucinations (VH) in Parkinson’s disease (PD), possibly due to a loss of cholinergic innervation. This was investigated by comparing structural connectivity of the NBM using diffusion tensor imaging in 15 PD patients with VH (PD + VH), 40 PD patients without VH (PD − VH), and 15 age- and gender-matched controls. Fractional anisotropy (FA) and mean diffusivity (MD) of pathways connecting the NBM to the whole cerebral cortex and of regional NBM fiber tracts were compared between groups. In PD + VH patients, compared to controls, higher MD values were observed in the pathways connecting the NBM to the cerebral cortex, while FA values were normal. Regional analysis demonstrated a higher MD of parietal (p = 0.011) and occipital tracts (p = 0.027) in PD + VH, compared to PD − VH patients. We suggest that loss of structural connectivity between the NBM and posterior brain regions may contribute to the etiology of VH in PD. Future studies are needed to determine whether these findings could represent a sensitive marker for the hypothesized cholinergic deficit in PD + VH patients.
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17
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Abstract
Parkinson disease psychosis (PDP) is a common phenomenon in Parkinson disease (PD) patients treated with dopaminergic drugs, and is associated with high morbidity and mortality. It also correlates with depression and dementia, and can contribute to considerable caregiver stress and burnout. While symptoms can be relieved by decreasing doses or number of anti-PD medications, this may lead to an unacceptable worsening of motor function. When general medical or psychiatric conditions have been ruled out, and decreasing dopaminergic agents is not effective in treating psychosis, therapies include atypical antipsychotics, primarily clozapine and quetiapine. Of these, clozapine is effective but is associated with a poor side-effect profile and the necessity for frequent blood draws. Clinicians prefer quetiapine for its theoretically better safety profile, although there is no evidence for efficacy in treating psychosis. All atypical antipsychotics are associated with increased mortality in this patient population. Cholinesterase inhibitors can ameliorate psychosis symptoms. The serotonin 5-HT2A receptor inverse agonist pimavanserin was recently approved by the US FDA for the treatment of PDP and may prove to be a more targeted therapy without the downsides of atypical antipsychotics.
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18
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Heim B, Krismer F, De Marzi R, Seppi K. Magnetic resonance imaging for the diagnosis of Parkinson's disease. J Neural Transm (Vienna) 2017; 124:915-964. [PMID: 28378231 PMCID: PMC5514207 DOI: 10.1007/s00702-017-1717-8] [Citation(s) in RCA: 134] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/22/2017] [Indexed: 12/11/2022]
Abstract
The differential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology and error rates in the clinical diagnosis can be high even at specialized centres. Despite several limitations, magnetic resonance imaging (MRI) has undoubtedly enhanced the diagnostic accuracy in the differential diagnosis of neurodegenerative parkinsonism over the last three decades. This review aims to summarize research findings regarding the value of the different MRI techniques, including advanced sequences at high- and ultra-high-field MRI and modern image analysis algorithms, in the diagnostic work-up of Parkinson's disease. This includes not only the exclusion of alternative diagnoses for Parkinson's disease such as symptomatic parkinsonism and atypical parkinsonism, but also the diagnosis of early, new onset, and even prodromal Parkinson's disease.
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Affiliation(s)
- Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
| | - Roberto De Marzi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
- Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria.
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19
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Pezzoli S, Cagnin A, Bandmann O, Venneri A. Structural and Functional Neuroimaging of Visual Hallucinations in Lewy Body Disease: A Systematic Literature Review. Brain Sci 2017; 7:E84. [PMID: 28714891 PMCID: PMC5532597 DOI: 10.3390/brainsci7070084] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/27/2017] [Accepted: 07/09/2017] [Indexed: 01/01/2023] Open
Abstract
Patients with Lewy body disease (LBD) frequently experience visual hallucinations (VH), well-formed images perceived without the presence of real stimuli. The structural and functional brain mechanisms underlying VH in LBD are still unclear. The present review summarises the current literature on the neural correlates of VH in LBD, namely Parkinson's disease (PD), and dementia with Lewy bodies (DLB). Following a systematic literature search, 56 neuroimaging studies of VH in PD and DLB were critically reviewed and evaluated for quality assessment. The main structural neuroimaging results on VH in LBD revealed grey matter loss in frontal areas in patients with dementia, and parietal and occipito-temporal regions in PD without dementia. Parietal and temporal hypometabolism was also reported in hallucinating PD patients. Disrupted functional connectivity was detected especially in the default mode network and fronto-parietal regions. However, evidence on structural and functional connectivity is still limited and requires further investigation. The current literature is in line with integrative models of VH suggesting a role of attention and perception deficits in the development of VH. However, despite the close relationship between VH and cognitive impairment, its associations with brain structure and function have been explored only by a limited number of studies.
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Affiliation(s)
- Stefania Pezzoli
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annachiara Cagnin
- Department of Neurosciences, University of Padua, 35128 Padua, Italy.
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Ospedale San Camillo, 30126 Venice, Italy.
| | - Oliver Bandmann
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
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20
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Lenka A, Herath P, Christopher R, Pal PK. Psychosis in Parkinson's disease: From the soft signs to the hard science. J Neurol Sci 2017; 379:169-176. [PMID: 28716235 DOI: 10.1016/j.jns.2017.06.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 05/30/2017] [Accepted: 06/11/2017] [Indexed: 01/06/2023]
Abstract
Patients with Parkinson's disease (PD) may develop a wide spectrum of non-motor symptoms during the course of illness. Psychosis is one such commonly observed non-motor symptoms of PD. Although several studies based on neuroimaging, genetics, retinal imaging, and neuropsychological evaluations have explored the pathogenesis of psychosis in PD; exact neural correlates are yet to be understood. Identification of factors related to psychosis in PD is important, as psychosis has been reported to be associated with higher rates of mortality, caregiver distress, and nursing home placements. This review highlights the potential of the previous studies to gain further insights into the soft signs and hard science related to psychosis in PD. Studies based on neuropsychological evaluations have revealed significant dysfunction in attention, executive and visuospatial functions in patients with PD and psychosis. Neuroimaging studies reveal grey matter atrophy in regions of the brain corresponding to both dorsal and ventral visual pathways, hippocampus, and cholinergic structures. Meanwhile, functional imaging studies suggest existence of an aberrant top-to-bottom visual processing system, which dominates the normal bottom-to-top system in patients with PD and visual hallucinations. Although nucleotide polymorphisms of several genes have been studied in PD patients with psychosis, those on -45C>T polymorphisms of cholecystokinin gene (CCK) have shown the greatest promise because of its association with psychosis in PD. All these taken together, cohesively unfold the current status of research in patients with PD and psychosis. This paper also highlights the missing links and discusses the approach to future research in this field.
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Affiliation(s)
- Abhishek Lenka
- Department of Clinical Neurosciences, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India; Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Priyantha Herath
- Department of Neurology, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Rita Christopher
- Department of Neurochemistry, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India.
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21
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Yousaf T, Wilson H, Politis M. Imaging the Nonmotor Symptoms in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:179-257. [PMID: 28802921 DOI: 10.1016/bs.irn.2017.05.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Parkinson's disease is acknowledged to be a multisystem syndrome, manifesting as a result of multineuropeptide dysfunction, including dopaminergic, cholinergic, serotonergic, and noradrenergic deficits. This multisystem disorder ultimately leads to the presentation of a range of nonmotor symptoms, now appreciated to be an integral part of the disease-specific spectrum of symptoms, often preceding the diagnosis of motor Parkinson's disease. In this chapter, we review the dopaminergic and nondopaminergic basis of these symptoms by exploring the neuroimaging evidence based on several techniques including positron emission tomography, single-photon emission computed tomography molecular imaging, magnetic resonance imaging, functional magnetic resonance imaging, and diffusion tensor imaging. We discuss the role of these neuroimaging techniques in elucidating the underlying pathophysiology of NMS in Parkinson's disease.
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Affiliation(s)
- Tayyabah Yousaf
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Heather Wilson
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Marios Politis
- Neurodegeneration Imaging Group, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom.
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22
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Kamagata K, Zalesky A, Hatano T, Ueda R, Di Biase MA, Okuzumi A, Shimoji K, Hori M, Caeyenberghs K, Pantelis C, Hattori N, Aoki S. Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Hum Brain Mapp 2017; 38:3704-3722. [PMID: 28470878 DOI: 10.1002/hbm.23628] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 02/22/2017] [Accepted: 04/17/2017] [Indexed: 01/14/2023] Open
Abstract
Mapping gray matter (GM) pathology in Parkinson's disease (PD) with conventional MRI is challenging, and the need for more sensitive brain imaging techniques is essential to facilitate early diagnosis and assessment of disease severity. GM microstructure was assessed with GM-based spatial statistics applied to diffusion kurtosis imaging (DKI) and neurite orientation dispersion imaging (NODDI) in 30 participants with PD and 28 age- and gender-matched controls. These were compared with currently used assessment methods such as diffusion tensor imaging (DTI), voxel-based morphometry (VBM), and surface-based cortical thickness analysis. Linear discriminant analysis (LDA) was also used to test whether subject diagnosis could be predicted based on a linear combination of regional diffusion metrics. Significant differences in GM microstructure were observed in the striatum and the frontal, temporal, limbic, and paralimbic areas in PD patients using DKI and NODDI. Significant correlations between motor deficits and GM microstructure were also noted in these areas. Traditional VBM and surface-based cortical thickness analyses failed to detect any GM differences. LDA indicated that mean kurtosis (MK) and intra cellular volume fraction (ICVF) were the most accurate predictors of diagnostic status. In conclusion, DKI and NODDI can detect cerebral GM abnormalities in PD in a more sensitive manner when compared with conventional methods. Hence, these methods may be useful for the diagnosis of PD and assessment of motor deficits. Hum Brain Mapp 38:3704-3722, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, VIC, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, VIC, Australia.,Melbourne School of Engineering, University of Melbourne, Melbourne, Australia
| | - Taku Hatano
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ryo Ueda
- Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Maria Angelique Di Biase
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, VIC, Australia
| | - Ayami Okuzumi
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keigo Shimoji
- Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Karen Caeyenberghs
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, VIC, Australia.,Melbourne School of Engineering, University of Melbourne, Melbourne, Australia.,Centre for Neural Engineering, Department of Electrical and Electronic Engineering, The University of Melbourne, Carlton, VIC, Australia
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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23
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Chang A, Fox SH. Psychosis in Parkinson's Disease: Epidemiology, Pathophysiology, and Management. Drugs 2017; 76:1093-118. [PMID: 27312429 DOI: 10.1007/s40265-016-0600-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Psychotic symptoms are common in Parkinson's disease (PD) and are associated with poorer quality of life and increased caregiver burden. PD psychosis is correlated with several factors, such as more advanced disease, cognitive impairment, depression, and sleep disorders. The underlying causes of psychosis in PD thus involve a complex interplay between exogenous (e.g., drugs, intercurrent illnesses) and endogenous (e.g., PD disease pathology) factors. Current theories of the pathophysiology of PD psychosis have come from several neuropathological and neuroimaging studies that implicate pathways involving visual processing and executive function, including temporo-limbic structures and neocortical gray matter with altered neurotransmitter functioning (e.g., dopamine, serotonin, and acetylcholine). Treatment of PD psychosis requires a step-wise process, including initial careful investigation of treatable triggering conditions and a comprehensive evaluation with adjustment of PD medications and/or initiation of specific antipsychotic therapies. Clozapine remains the only recommended drug for the treatment of PD psychosis; however, because of regular blood monitoring, quetiapine is usually first-line therapy, although less efficacious. Emerging studies have focused on agents involving other neurotransmitters, including the serotonin 5-HT2A receptor inverse agonist pimavanserin, cholinesterase inhibitors, and antidepressants and anxiolytics.
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Affiliation(s)
- Anna Chang
- Morton and Gloria Shulman Movement Disorder Clinic, University of Toronto, Toronto Western Hospital, 7th Floor, McLaughlin Pavilion, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada.,Department of Neurology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
| | - Susan H Fox
- Morton and Gloria Shulman Movement Disorder Clinic, University of Toronto, Toronto Western Hospital, 7th Floor, McLaughlin Pavilion, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada.
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24
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Ffytche DH, Creese B, Politis M, Chaudhuri KR, Weintraub D, Ballard C, Aarsland D. The psychosis spectrum in Parkinson disease. Nat Rev Neurol 2017; 13:81-95. [PMID: 28106066 PMCID: PMC5656278 DOI: 10.1038/nrneurol.2016.200] [Citation(s) in RCA: 205] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In 2007, the clinical and research profile of illusions, hallucinations, delusions and related symptoms in Parkinson disease (PD) was raised with the publication of a consensus definition of PD psychosis. Symptoms that were previously deemed benign and clinically insignificant were incorporated into a continuum of severity, leading to the rapid expansion of literature focusing on clinical aspects, mechanisms and treatment. Here, we review this literature and the evolving view of PD psychosis. Key topics include the prospective risk of dementia in individuals with PD psychosis, and the causal and modifying effects of PD medication. We discuss recent developments, including recognition of an increase in the prevalence of psychosis with disease duration, addition of new visual symptoms to the psychosis continuum, and identification of frontal executive, visual perceptual and memory dysfunction at different disease stages. In addition, we highlight novel risk factors - for example, autonomic dysfunction - that have emerged from prospective studies, structural MRI evidence of frontal, parietal, occipital and hippocampal involvement, and approval of pimavanserin for the treatment of PD psychosis. The accumulating evidence raises novel questions and directions for future research to explore the clinical management and biomarker potential of PD psychosis.
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Affiliation(s)
- Dominic H Ffytche
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology &Neuroscience, King's College London, UK. De Crespigny Park, London SE5 8AF, UK
| | - Byron Creese
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- University of Exeter Medical School, University of Exeter, EX1 2LU, UK
| | - Marios Politis
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Neurodegeneration Imaging Group, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology &Neuroscience, King's College London, 125 Coldharbour Lane, London SE5 9NU, UK
| | - K Ray Chaudhuri
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, National Parkinson Foundation Centre of Excellence, King's College London/Kings College Hospital, 5 Cutcombe Road, London SE5 9RT, UK
| | - Daniel Weintraub
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania 3615 Chestnut Street, #330, Philadelphia, Pennsylvania 19104, USA
- Parkinson's Disease and Mental Illness Research, Education and Clinical Centres (PADRECC and MIRECC), Philadelphia Veterans Affairs Medical Centre 3900 Woodland Avenue, Philadelphia, Pennsylvania 19104, USA
| | - Clive Ballard
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- University of Exeter Medical School, University of Exeter, EX1 2LU, UK
| | - Dag Aarsland
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology &Neuroscience, King's College London, UK. De Crespigny Park, London SE5 8AF, UK
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ffytche DH, Aarsland D. Psychosis in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:585-622. [DOI: 10.1016/bs.irn.2017.04.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Lenka A, Hegde S, Arumugham SS, Pal PK. Pattern of cognitive impairment in patients with Parkinson's disease and psychosis: A critical review. Parkinsonism Relat Disord 2016; 37:11-18. [PMID: 28057432 DOI: 10.1016/j.parkreldis.2016.12.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 12/11/2016] [Accepted: 12/26/2016] [Indexed: 01/29/2023]
Abstract
Psychosis is one of the debilitating non-motor symptoms (NMS) of Parkinson's disease (PD). Cognitive impairment is considered to be a risk factor for emergence of psychosis in PD. Early detection of relevant cognitive impairment may serve as a predictor for development of psychosis, with implications for prevention and early intervention. However, the exact pattern of cognitive impairment associated with psychosis is not clear. In this article, we aim to critically review the literature on case-control studies in PD patients with and without psychosis in order to understand the pattern of cognitive impairment in those with psychosis. Majority of studies conducted till date have focused on executive and visuospatial functions. Despite some inconsistencies, most of the studies found significant impairment in these domains in PD patients with psychosis compared to those without psychosis. Studies assessing for other cognitive functions such as attention, language and memory in PD patients have also found worse performance in those with psychosis. Although there is enough evidence to suggest that PD patients with psychosis have poor cognitive functioning, it is unclear if these deficits are generalized or specific. The available evidence, which is primarily in the form of cross-sectional studies assessing for specific cognitive deficits, is not adequate to indicate a clear demarcating pattern of cognitive deficits, which differentiates PD patients with and without psychosis. Longitudinal studies with extensive cognitive assessment are warranted.
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Affiliation(s)
- Abhishek Lenka
- Department of Clinical Neurosciences, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India; Department of Neurology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
| | - Shantala Hegde
- Department of Clinical Psychology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India.
| | - Shyam Sundar Arumugham
- Department of Psychiatry, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
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Lee WW, Yoon EJ, Lee JY, Park SW, Kim YK. Visual Hallucination and Pattern of Brain Degeneration in Parkinson's Disease. NEURODEGENER DIS 2016; 17:63-72. [PMID: 27760431 DOI: 10.1159/000448517] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 07/19/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The incidence of visual hallucination (VH) increases with Parkinson's disease (PD) progression, and its development is thought to be related to a specific neurodegenerative process in PD. This study aimed to reveal brain degeneration related to VH in PD by analyzing neuroimaging data obtained from patients in their different stages of PD. METHODS Data from 48 PD patients - 21 nondemented without VH (PNV group), 10 nondemented with VH (PV group), and 17 demented with VH (PVD group) - and 30 age-matched healthy controls (HC group) were analyzed. Voxel-based morphometry and tract-based spatial statistics were conducted. Previous magnetic resonance volumetric studies on VH in PD were collectively reviewed. RESULTS The PV group showed gray matter atrophy in the right inferior parietal lobule and supramarginal gyrus compared with the HC and PNV groups. The PVD group showed a wider range of gray matter atrophies in the temporo-parieto-occipital regions than those in the PV group. White matter changes seemed to be an earlier event than gray matter changes. Fractional anisotropy values diffusely decreased in all three PD subgroups compared with the HC group without significant differences between the PD subgroups. Mean diffusivity was not different between the PNV and HC groups but increased in the parieto-temporal region in the PV group and increased diffusely in the PVD group, additionally including the fronto-occipital regions. A review of previous studies supported our observations. CONCLUSIONS Gray matter degenerations from the parieto-temporal junction to the parieto-occipital and temporo-occipital regions may be responsible for VH on the typical timeline of PD progression.
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Affiliation(s)
- Woong-Woo Lee
- Department of Neurology, Eulji General Hospital, Seoul, Republic of Korea
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Lenka A, Jhunjhunwala KR, Saini J, Pal PK. Structural and functional neuroimaging in patients with Parkinson's disease and visual hallucinations: A critical review. Parkinsonism Relat Disord 2015; 21:683-91. [PMID: 25920541 DOI: 10.1016/j.parkreldis.2015.04.005] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 04/05/2015] [Accepted: 04/08/2015] [Indexed: 12/16/2022]
Abstract
Patients with Parkinson's disease (PD) may develop various non-motor symptoms (NMS) during the course of the illness and psychosis is one of the common NMS of PD. Visual hallucinations (VH) are the most common manifestation of psychosis in PD. The exact pathogenesis of VH in patients with PD is not clearly understood. Presence of VH has been described to be associated with rapid cognitive decline and increased nursing home placements in PD patients. A large number of structural and functional neuroimaging studies have been conducted to understand the cerebral basis of VH in PD. Structural imaging studies (Voxel Based Morphometry) have reported grey matter atrophy in multiple regions of the brain such as primary visual cortex, visual association cortex, limbic regions, cholinergic structures such as pedunculopontine nucleus and substantia innominata, which conclude possible alterations of brain regions associated with functions such as visuospatial-perception, attention control and memory. Most functional neuroimaging studies (functional MRI, positron emission tomography and single photon emission computerized tomography) have reported altered activation, blood flow, or reduced metabolism in both dorsal and ventral visual pathways, which probably indicates an alteration in the normal bottom-top visual processing and the presence of an aberrant top-down visual processing. This review critically analyzes the published studies on the structural and functional neuroimaging in PD patients with VH.
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Affiliation(s)
- Abhishek Lenka
- Department of Clinical Neurosciences, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India; Department of Neurology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
| | - Ketan Ramakant Jhunjhunwala
- Department of Clinical Neurosciences, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India; Department of Neurology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India.
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On visual hallucinations and cortical networks: a trans-diagnostic review. J Neurol 2015; 262:1780-90. [PMID: 25761375 PMCID: PMC4503861 DOI: 10.1007/s00415-015-7687-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 02/17/2015] [Indexed: 12/20/2022]
Abstract
Our current clinical approach to visual hallucinations is largely derived from work carried out by Georges de Morsier in the 1930s. Now, almost a century after his influential papers, we have the research tools to further explore the ideas he put forward. In this review, we address de Morsier's proposal that visual hallucinations in all clinical conditions have a similar neurological mechanism by comparing structural imaging studies of susceptibility to visual hallucinations in Parkinson's disease, Alzheimer's disease, Dementia with Lewy bodies and schizophrenia. Systematic review of the literature was undertaken using PubMed searches. A total of 18 studies across conditions were identified reporting grey matter differences between patients with and without visual hallucinations. Grey matter changes were categorised into brain regions relevant to current theories of visual hallucinations. The distribution of cortical atrophy supports de Morsier's premise that visual hallucinations are invariably linked to aberrant activity within visual thalamo-cortical networks. Further work is required to determine by what mechanism these networks become predisposed to spontaneous activation, and whether the frontal lobe and hippocampal changes identified are present in all conditions. The findings have implications for the development of effective treatments for visual hallucinations.
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MRI correlates of Parkinson's disease progression: a voxel based morphometry study. PARKINSONS DISEASE 2015; 2015:378032. [PMID: 25628916 PMCID: PMC4299788 DOI: 10.1155/2015/378032] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Revised: 12/23/2014] [Accepted: 12/23/2014] [Indexed: 11/29/2022]
Abstract
We investigated structural brain differences between a group of early-mild PD patients at different phases of the disease and healthy subjects using voxel-based morphometry (VBM). 20 mild PD patients compared to 15 healthy at baseline and after 2 years of follow-up. VBM is a fully automated technique, which allows the identification of regional differences in the gray matter enabling an objective analysis of the whole brain between groups of subjects. With respect to controls, PD patients exhibited decreased GM volumes in right putamen and right parietal cortex. After 2 years of disease, the same patients confirmed GM loss in the putamen and parietal cortex; a significant difference was also observed in the area of pedunculopontine nucleus (PPN) and in the mesencephalic locomotor region (MLR). PD is associated with brain morphological changes in cortical and subcortical structures. The first regions to be affected in PD seem to be the parietal cortex and the putamen. A third structure that undergoes atrophy is the part of the inferior-posterior midbrain, attributable to the PPN and MLR. Our findings provide new insight into the brain involvement in PD and could contribute to a better understanding of the sequence of events occurring in these patients.
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Voxelwise meta-analysis of gray matter anomalies in Parkinson variant of multiple system atrophy and Parkinson's disease using anatomic likelihood estimation. Neurosci Lett 2014; 587:79-86. [PMID: 25484255 DOI: 10.1016/j.neulet.2014.12.007] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Revised: 10/30/2014] [Accepted: 12/01/2014] [Indexed: 02/05/2023]
Abstract
Numerous voxel-based morphometry (VBM) studies on gray matter (GM) in patients with the Parkinson variant of multiple system atrophy (MSA-P) and Parkinson's disease (PD) have been separately conducted. Identifying the different neuroanatomical changes in GM between MSA-P and PD through meta-analysis may aid the differential diagnosis of MSA-P and PD. A systematic review of VBM studies on patients with MSA-P and PD compared to healthy controls (HC) from the PubMed and Embase databases between January 1995 and June 2014 was conducted. Five studies comparing MSA-P with HC and twenty-three studies comparing PD with HC were included. The anatomical distribution of the coordinates of GM volume (GMV) differences was analyzed using the anatomical likelihood estimation (ALE) method. GMV reductions were present in the bilateral putamen, claustrum, insula, midbrain and left cerebellum in MSA-P. In PD, GMV decreases were present in the frontal, parietal, occipital and limbic lobes. Subtraction meta-analysis was performed to explore the differences in GM abnormalities between MSA-P and PD during the early stage of the disease. For patients with disease duration within 5 years, compared with PD, the decrease in GMV focused on the bilateral putamen and claustrum in MSA-P. In contrast, for patients with disease duration within 3 years, no significant GMV difference was found between MSA-P and PD. Our meta-analysis indicated that the atrophy of bilateral putamen or claustrum is not a neuroanatomical marker for distinguishing MSA-P from PD during the early stage by using the VBM method.
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Potgieser AR, van der Hoorn A, Meppelink AM, Teune LK, Koerts J, de Jong BM. Anterior Temporal Atrophy and Posterior Progression in Patients with Parkinson's Disease. NEURODEGENER DIS 2014; 14:125-32. [DOI: 10.1159/000363245] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 04/28/2014] [Indexed: 11/19/2022] Open
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Tessa C, Lucetti C, Giannelli M, Diciotti S, Poletti M, Danti S, Baldacci F, Vignali C, Bonuccelli U, Mascalchi M, Toschi N. Progression of brain atrophy in the early stages of Parkinson's disease: a longitudinal tensor-based morphometry study in de novo patients without cognitive impairment. Hum Brain Mapp 2014; 35:3932-44. [PMID: 24453162 PMCID: PMC6868950 DOI: 10.1002/hbm.22449] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Revised: 11/06/2013] [Accepted: 11/29/2013] [Indexed: 11/11/2022] Open
Abstract
The presence of brain atrophy and its progression in early Parkinson's disease (PD) are still a matter of debate, particularly in patients without cognitive impairment. The aim of this longitudinal study was to assess whether PD patients who remain cognitively intact develop progressive atrophic changes in the early stages of the disease. For this purpose, we employed high-resolution T1-weighted MR imaging to compare 22 drug-naïve de novo PD patients without cognitive impairment to 17 age-matched control subjects, both at baseline and at three-year follow-up. We used tensor-based morphometry to explore the presence of atrophic changes at baseline and to compute yearly atrophy rates, after which we performed voxel-wise group comparisons using threshold-free cluster enhancement. At baseline, we did not observe significant differences in regional atrophy in PD patients with respect to control subjects. In contrast, PD patients showed significantly higher yearly atrophy rates in the prefrontal cortex, anterior cingulum, caudate nucleus, and thalamus when compared to control subjects. Our results indicate that even cognitively preserved PD patients show progressive cortical and subcortical atrophic changes in regions related to cognitive functions and that these changes are already detectable in the early stages of the disease.
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Affiliation(s)
- Carlo Tessa
- Division of RadiologyVersilia Hospital, AUSL 12 Viareggio, Lido di Camaiore (Lu)Italy
| | - Claudio Lucetti
- Division of NeurologyVersilia Hospital, AUSL 12 Viareggio, Lido di Camaiore (Lu)Italy
| | - Marco Giannelli
- Unit of Medical PhysicsPisa University Hospital “Azienda Ospedaliero‐Universitaria Pisana”PisaItaly
| | - Stefano Diciotti
- Quantitative and Functional Neuroradiology Research UnitDepartment of Experimental and Clinical Biomedical SciencesUniversity of FlorenceFlorenceItaly
| | - Michele Poletti
- Department of Mental Health and Pathological AddictionAUSL Reggio EmiliaReggio EmiliaItaly
| | - Sabrina Danti
- Division of PsychologyVersilia Hospital, AUSL 12 ViareggioLido di Camaiore (Lu)Italy
| | | | - Claudio Vignali
- Division of RadiologyVersilia Hospital, AUSL 12 Viareggio, Lido di Camaiore (Lu)Italy
| | | | - Mario Mascalchi
- Quantitative and Functional Neuroradiology Research UnitDepartment of Experimental and Clinical Biomedical SciencesUniversity of FlorenceFlorenceItaly
| | - Nicola Toschi
- Medical Physics SectionDepartment of Biomedicine and PreventionFaculty of MedicineUniversity of Rome “Tor Vergata”RomeItaly
- Department of RadiologyAthinoula A. Martinos Center for Biomedical ImagingBostonMassachusetts
- Harvard Medical SchoolBostonMassachusetts
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Pyatigorskaya N, Gallea C, Garcia-Lorenzo D, Vidailhet M, Lehericy S. A review of the use of magnetic resonance imaging in Parkinson's disease. Ther Adv Neurol Disord 2014; 7:206-20. [PMID: 25002908 DOI: 10.1177/1756285613511507] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
To date, the most frequently used Parkinson's disease (PD) biomarkers are the brain imaging measures of dopaminergic dysfunction using positron emission tomography and single photon emission computed tomography. However, major advances have occurred in the development of magnetic resonance imaging (MRI) biomarkers for PD in the past decade. Although conventional structural imaging remains normal in PD, advanced techniques have shown changes in the substantia nigra and the cortex. The most well-developed MRI markers in PD include diffusion imaging and iron load using T2/T2* relaxometry techniques. Other quantitative biomarkers such as susceptibility-weighted imaging for iron load, magnetization transfer and ultra-high-field MRI have shown great potential. More sophisticated techniques such as tractography and resting state functional connectivity give access to anatomical and functional connectivity changes in the brain, respectively. Brain perfusion can be assessed using non-contrast-agent techniques such as arterial spin labelling and spectroscopy gives access to metabolites concentrations. However, to date these techniques are not yet fully validated and standardized quantitative metrics for PD are still lacking. This review presents an overview of new structural, perfusion, metabolic and anatomo-functional connectivity biomarkers, their use in PD and their potential applications to improve the clinical diagnosis of Parkinsonian syndromes and the quality of clinical trials.
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Affiliation(s)
- Nadya Pyatigorskaya
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Cécile Gallea
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Daniel Garcia-Lorenzo
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Marie Vidailhet
- Université Pierre et Marie Curie (UPMC Univ Paris 6), Centre de Recherche de l'Institut du Cerveau et de la Moelle epiniere, Paris, France
| | - Stéphane Lehericy
- Service de neuroradiologie, Groupe Hospitalier Pitié-Salpêtrière, 47 boulevard de l'hopital, 75651 Paris cedex 13, France
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Shao N, Yang J, Li J, Shang HF. Voxelwise meta-analysis of gray matter anomalies in progressive supranuclear palsy and Parkinson's disease using anatomic likelihood estimation. Front Hum Neurosci 2014; 8:63. [PMID: 24600372 PMCID: PMC3927227 DOI: 10.3389/fnhum.2014.00063] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Accepted: 01/26/2014] [Indexed: 02/05/2023] Open
Abstract
Numerous voxel-based morphometry (VBM) studies on gray matter (GM) of patients with progressive supranuclear palsy (PSP) and Parkinson's disease (PD) have been conducted separately. Identifying the different neuroanatomical changes in GM resulting from PSP and PD through meta-analysis will aid the differential diagnosis of PSP and PD. In this study, a systematic review of VBM studies of patients with PSP and PD relative to healthy control (HC) in the Embase and PubMed databases from January 1995 to April 2013 was conducted. The anatomical distribution of the coordinates of GM differences was meta-analyzed using anatomical likelihood estimation. Separate maps of GM changes were constructed and subtraction meta-analysis was performed to explore the differences in GM abnormalities between PSP and PD. Nine PSP studies and 24 PD studies were included. GM reductions were present in the bilateral thalamus, basal ganglia, midbrain, insular cortex and inferior frontal gyrus, and left precentral gyrus and anterior cingulate gyrus in PSP. Atrophy of GM was concentrated in the bilateral middle and inferior frontal gyrus, precuneus, left precentral gyrus, middle temporal gyrus, right superior parietal lobule, and right cuneus in PD. Subtraction meta-analysis indicated that GM volume was lesser in the bilateral midbrain, thalamus, and insula in PSP compared with that in PD. Our meta-analysis indicated that PSP and PD shared a similar distribution of neuroanatomical changes in the frontal lobe, including inferior frontal gyrus and precentral gyrus, and that atrophy of the midbrain, thalamus, and insula are neuroanatomical markers for differentiating PSP from PD.
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Affiliation(s)
- Na Shao
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Jing Yang
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Jianpeng Li
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Hui-Fang Shang
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
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Pagonabarraga J, Soriano-Mas C, Llebaria G, López-Solà M, Pujol J, Kulisevsky J. Neural correlates of minor hallucinations in non-demented patients with Parkinson's disease. Parkinsonism Relat Disord 2013; 20:290-6. [PMID: 24373690 DOI: 10.1016/j.parkreldis.2013.11.017] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2013] [Revised: 11/04/2013] [Accepted: 11/27/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND Hallucinations are a frequent and severe complication in Parkinson's disease (PD). Minor hallucinations are generally not disturbing, but likely progress to well-structured hallucinations with loss of insight and a great impact on quality of life. Knowledge on the neural bases of minor hallucinations may help to describe those systems associated with the early development of psychotic phenomena in PD. In this study, we aimed to identify the pattern of structural brain alterations associated with minor hallucinations in PD by using voxel-based morphometry (VBM). METHODS We prospectively collected a sample of 46 non-demented PD patients, with (N = 17) and without (n = 29) minor hallucinations (passage and/or presence hallucinations), and 15 healthy controls. Groups were matched for age, education and global cognitive function. Presence and type of minor psychotic phenomena was assessed by the new MDS-UPDRS. Three dimensional T1-weighted MRI images were acquired with a 1.5 T magnet, and analyzed using optimized VBM. RESULTS Compared to controls, PD with minor hallucinations (PD-mH) showed reduced gray matter volume bilaterally in different areas of the dorsal visual stream, and in functionally related midbrain and cerebellar structures. Additionally, bilateral gray matter volume increases were observed in the PD-mH group in limbic and paralimbic regions. CONCLUSIONS Our data support a major role of the dorsal visual stream in the genesis of minor hallucinations in PD, reinforcing the importance of posterior cortical regions for the development of cognitive and psychiatric complications in PD.
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Affiliation(s)
- Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Instituto de Investigaciones Biomédicas - Sant Pau (IIB-Sant Pau), Autonomous University of Barcelona, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Carles Soriano-Mas
- CRC Hospital del Mar, Barcelona, Spain; Department of Psychiatry, Bellvitge University Hospital - IDIBELL, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Gisela Llebaria
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Instituto de Investigaciones Biomédicas - Sant Pau (IIB-Sant Pau), Autonomous University of Barcelona, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Spain
| | | | | | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Instituto de Investigaciones Biomédicas - Sant Pau (IIB-Sant Pau), Autonomous University of Barcelona, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Spain.
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Watanabe H, Senda J, Kato S, Ito M, Atsuta N, Hara K, Tsuboi T, Katsuno M, Nakamura T, Hirayama M, Adachi H, Naganawa S, Sobue G. Cortical and subcortical brain atrophy in Parkinson's disease with visual hallucination. Mov Disord 2013; 28:1732-6. [PMID: 24150865 DOI: 10.1002/mds.25641] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2013] [Revised: 06/30/2013] [Accepted: 07/15/2013] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND The aim of this study was to investigate the cortical and subcortical brain structures in Parkinson's disease (PD) with visual hallucination (VH), and to elucidate the association between the proposed hypothesis of VH in PD and regional brain volume changes. METHODS We used 3T magnetic resonance imaging (MRI) and voxel-based morphometry (VBM) to investigate the brain structures of PD patients with VH (PD-VH; n = 13) and PD patients without VH (PD-C; n = 13). RESULTS The PD-VH patients showed significant cortical atrophy compared to the PD-C patients in the bilateral dorsolateral prefrontal cortex, left rostral region of the prefrontal cortex, left ventral section of the cingulate cortex, bilateral primary visual cortex, and secondary visual cortex including the left inferior occipital gyrus, right lingual cortex, right supramarginal gyrus, and left fusiform gyrus. Significant subcortical atrophic changes were observed in the white matter of the right parahippocampal gyrus, the bilateral posterior part of the cingulate gyrus, the left lingual gyrus, and the right middle occipital gyrus. CONCLUSIONS VH in PD can occur due to distinctive neuroanatomical involvement.
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Affiliation(s)
- Hirohisa Watanabe
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Zhang Y, Zhang J, Xu J, Wu X, Zhang Y, Feng H, Wang J, Jiang T. Cortical gyrification reductions and subcortical atrophy in Parkinson's disease. Mov Disord 2013; 29:122-6. [PMID: 24123500 DOI: 10.1002/mds.25680] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2013] [Revised: 08/12/2013] [Accepted: 08/19/2013] [Indexed: 11/06/2022] Open
Affiliation(s)
- Yuanchao Zhang
- Key Laboratory for NeuroInformation of the Ministry of Education; School of Life Science and Technology; University of Electronic Science and Technology of China; Chengdu People's Republic of China
| | - Jiuqun Zhang
- Department of Radiology, Southwest Hospital; Third Military Medical University; Chongqing People's Republic of China
| | - Jinping Xu
- Key Laboratory for NeuroInformation of the Ministry of Education; School of Life Science and Technology; University of Electronic Science and Technology of China; Chengdu People's Republic of China
| | - Xiu Wu
- Key Laboratory for NeuroInformation of the Ministry of Education; School of Life Science and Technology; University of Electronic Science and Technology of China; Chengdu People's Republic of China
| | - Yanling Zhang
- Department of Neurology, Southwest Hospital; Third Military Medical University; Chongqing People's Republic of China
| | - Hua Feng
- Department of Neurosurgery; Southwest Hospital, Third Military Medical University; Chongqing People's Republic of China
| | - Jian Wang
- Department of Radiology, Southwest Hospital; Third Military Medical University; Chongqing People's Republic of China
| | - Tianzi Jiang
- Key Laboratory for NeuroInformation of the Ministry of Education; School of Life Science and Technology; University of Electronic Science and Technology of China; Chengdu People's Republic of China
- LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition; Institute of Automation, Chinese Academy of Sciences; Beijing People's Republic of China
- The Queensland Brain Institute; The University of Queensland; Brisbane Queensland Australia
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Rosenberg-Katz K, Herman T, Jacob Y, Giladi N, Hendler T, Hausdorff JM. Gray matter atrophy distinguishes between Parkinson disease motor subtypes. Neurology 2013; 80:1476-84. [PMID: 23516323 DOI: 10.1212/wnl.0b013e31828cfaa4] [Citation(s) in RCA: 118] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess differences in gray matter (GM) atrophy between 2 Parkinson disease (PD) subtypes: the tremor dominant (TD) subtype and the postural instability gait difficulty (PIGD) subtype. METHODS Patients were classified as belonging to the predominately PIGD (n = 30) or predominately TD (n = 29) subtype. Voxel-based morphometry was used to compare GM in these 2 subtypes and to evaluate correlations between predefined regions of interest and the degree of symptoms. In the regions where GM atrophy was associated with symptoms, the relationship between GM volumes and functional connectivity was examined. RESULTS GM was reduced in the predominately PIGD group, compared with the predominately TD group, in areas that involve motor, cognitive, limbic, and associative functions (p < 0.05, false discovery rate corrected). Lower GM volumes in the pre-supplementary motor area (SMA) and in the primary motor area were associated with increased severity of PIGD symptoms (r = -0.42, p < 0.001; r = -0.38, p < 0.003, respectively). Higher GM volumes within the pre-SMA were associated with stronger functional connectivity between the pre-SMA and the putamen (r = 0.415, p < 0.025) in the patients with predominately PIGD. CONCLUSIONS In patients with PD, PIGD symptoms are apparently associated with GM atrophy in motor-related regions and decreased functional connectivity. GM degeneration and a related decrease in spontaneous coactivation between cortical and subcortical motor-planning areas may partially account for the unique clinical characteristics of a subset of patients with PD.
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Affiliation(s)
- Keren Rosenberg-Katz
- Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel
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Botha H, Carr J. Attention and visual dysfunction in Parkinson's disease. Parkinsonism Relat Disord 2012; 18:742-7. [PMID: 22503538 DOI: 10.1016/j.parkreldis.2012.03.004] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2011] [Revised: 03/05/2012] [Accepted: 03/06/2012] [Indexed: 10/28/2022]
Abstract
Visual processing extends from the retinal level to the ventral temporal lobe, and is modified by top-down and bottom-up processing. Complex visual hallucinations (VH) are commonly a feature of disorders which affect temporal lobe structures, frequently in association with impairment of ascending monoaminergic pathways. When Parkinson's disease (PD) is associated with VH, pathological changes characteristically affect the temporal lobes, a finding which is recapitulated by imaging findings. However, a major association of VH is with cognitive decline, and this is typically linked to deficits in attention and working memory, both of which are modulated by dopamine. Similarly, dopamine plays a crucial role in the function of prefrontal cortex, in addition to controlling access to consciousness via gating mechanisms that are dependent on the basal ganglia.
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Affiliation(s)
- Hugo Botha
- Division of Neurology, Department of Medicine, Faculty of Health Sciences, University of Stellenbosch, PO Box 19063, Tygerberg 7505, Cape Town, South Africa
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41
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Ibarretxe-Bilbao N, Junque C, Marti MJ, Tolosa E. Cerebral basis of visual hallucinations in Parkinson's disease: Structural and functional MRI studies. J Neurol Sci 2011; 310:79-81. [DOI: 10.1016/j.jns.2011.06.019] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2011] [Revised: 06/05/2011] [Accepted: 06/08/2011] [Indexed: 11/25/2022]
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Pan PL, Song W, Shang HF. Voxel-wise meta-analysis of gray matter abnormalities in idiopathic Parkinson's disease. Eur J Neurol 2011; 19:199-206. [PMID: 21762435 DOI: 10.1111/j.1468-1331.2011.03474.x] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Structural neuroimaging studies on idiopathic Parkinson's disease (IPD) with voxel-based morphometry (VBM) yielded variable and conflicting findings. A systematic review of VBM studies of patients with IPD and healthy control (HC) subjects published in PubMed, ISI Web of Science, Embase, and Medline databases from 1995 to 25 October 2010 was conducted. Coordinates were extracted from clusters of significant gray matter (GM) difference between patients with IPD and HC subjects. Meta-analysis was performed using signed differential mapping. A total of 17 VBM studies involving 498 patients with IPD and 375 HC subjects met the inclusion criteria. A significant regional GM volume decrease was detected in the left inferior frontal gyrus (BA47) extending to the left superior temporal gyrus (BA38) and the left insula (BA13) of patients with IPD compared with HC subjects. The findings of this study remain largely unchanged in quartile and jackknife sensitivity analyses and in subgroup analyses. Robust GM reductions in the inferior frontal/orbitofrontal gyrus (BA47) are implicated in IPD, and the reductions may be related to the mediation of the non-motor IPD symptoms, such as cognitive, emotional, and autonomic functions. Further studies must be conducted to determine whether the findings are specific to all IPD subtypes or different from the atypical Parkinsonism.
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Affiliation(s)
- P L Pan
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Janzen J, van 't Ent D, Lemstra AW, Berendse HW, Barkhof F, Foncke EMJ. The pedunculopontine nucleus is related to visual hallucinations in Parkinson's disease: preliminary results of a voxel-based morphometry study. J Neurol 2011; 259:147-54. [PMID: 21717194 PMCID: PMC3251778 DOI: 10.1007/s00415-011-6149-z] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2011] [Accepted: 06/14/2011] [Indexed: 11/29/2022]
Abstract
Visual hallucinations (VH) are common in Parkinson’s disease (PD) and lead to a poor quality of life. For a long time, dopaminergic therapy was considered to be the most important risk factor for the development of VH in PD. Recently, the cholinergic system, including the pedunculopontine nucleus (PPN), has been implicated in the pathophysiology of VH. The aim of the present study was to investigate grey matter density of the PPN region and one of its projection areas, the thalamus. Thirteen non-demented PD patients with VH were compared to 16 non-demented PD patients without VH, 13 demented PD patients (PDD) with VH and 11 patients with dementia with Lewy bodies (DLB). Isotropic 3-D T1-weighted MRI images (3T) were analysed using voxel-based morphometry (VBM) with the PPN region and thalamus as ROIs. PD and PDD patients with VH showed grey matter reductions of the PPN region and the thalamus compared to PD patients without VH. VH in PD(D) patients are associated with atrophy of the PPN region and its thalamic target area, suggesting that a cholinergic deficit may be involved in the development of VH in PD(D).
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Affiliation(s)
- J Janzen
- Department of Neurology, VU University Medical Center, 1007 MB Amsterdam, The Netherlands
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