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Pierre WC, Zhang E, Londono I, De Leener B, Lesage F, Lodygensky GA. Non-invasive in vivo MRI detects long-term microstructural brain alterations related to learning and memory impairments in a model of inflammation-induced white matter injury. Behav Brain Res 2022; 428:113884. [DOI: 10.1016/j.bbr.2022.113884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/18/2022] [Accepted: 04/03/2022] [Indexed: 11/28/2022]
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Kim YS, Lee JH, Gahm JK. Automated Differentiation of Atypical Parkinsonian Syndromes Using Brain Iron Patterns in Susceptibility Weighted Imaging. Diagnostics (Basel) 2022; 12:diagnostics12030637. [PMID: 35328190 PMCID: PMC8946947 DOI: 10.3390/diagnostics12030637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/23/2022] [Accepted: 03/02/2022] [Indexed: 12/10/2022] Open
Abstract
In recent studies, iron overload has been reported in atypical parkinsonian syndromes. The topographic patterns of iron distribution in deep brain nuclei vary by each subtype of parkinsonian syndrome, which is affected by underlying disease pathologies. In this study, we developed a novel framework that automatically analyzes the disease-specific patterns of iron accumulation using susceptibility weighted imaging (SWI). We constructed various machine learning models that can classify diseases using radiomic features extracted from SWI, representing distinctive iron distribution patterns for each disorder. Since radiomic features are sensitive to the region of interest, we used a combination of T1-weighted MRI and SWI to improve the segmentation of deep brain nuclei. Radiomics was applied to SWI from 34 patients with a parkinsonian variant of multiple system atrophy, 21 patients with cerebellar variant multiple system atrophy, 17 patients with progressive supranuclear palsy, and 56 patients with Parkinson’s disease. The machine learning classifiers that learn the radiomic features extracted from iron-reflected segmentation results produced an average area under receiver operating characteristic curve (AUC) of 0.8607 on the training data and 0.8489 on the testing data, which is superior to the conventional classifier with segmentation using only T1-weighted images. Our radiomic model based on the hybrid images is a promising tool for automatically differentiating atypical parkinsonian syndromes.
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Affiliation(s)
- Yun Soo Kim
- Department of Information Convergence Engineering, Pusan National University, Busan 46241, Korea;
| | - Jae-Hyeok Lee
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan 50612, Korea;
| | - Jin Kyu Gahm
- School of Computer Science and Engineering, Pusan National University, Busan 46241, Korea
- Correspondence: ; Tel.: +82-51-510-2292
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Liu C, Yen CCC, Szczupak D, Tian X, Glen D, Silva AC. Marmoset Brain Mapping V3: Population multi-modal standard volumetric and surface-based templates. Neuroimage 2020; 226:117620. [PMID: 33307224 PMCID: PMC7908070 DOI: 10.1016/j.neuroimage.2020.117620] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 10/27/2020] [Accepted: 11/28/2020] [Indexed: 12/14/2022] Open
Abstract
The standard anatomical brain template provides a common space and coordinate system for visualizing and analyzing neuroimaging data from large cohorts of subjects. Previous templates and atlases for the common marmoset brain were either based on data from a single individual or lacked essential functionalities for neuroimaging analysis. Here, we present new population-based in-vivo standard templates and tools derived from multi-modal data of 27 marmosets, including multiple types of T1w and T2w contrast images, DTI contrasts, and large field-of-view MRI and CT images. We performed multi-atlas labeling of anatomical structures on the new templates and constructed highly accurate tissue-type segmentation maps to facilitate volumetric studies. We built fully featured brain surfaces and cortical flat maps to facilitate 3D visualization and surface-based analyses, which are compatible with most surface analyzing tools, including FreeSurfer, AFNI/SUMA, and the Connectome Workbench. Analysis of the MRI and CT datasets revealed significant variations in brain shapes, sizes, and regional volumes of brain structures, highlighting substantial individual variabilities in the marmoset population. Thus, our population-based template and associated tools provide a versatile analysis platform and standard coordinate system for a wide range of MRI and connectome studies of common marmosets. These new template tools comprise version 3 of our Marmoset Brain Mapping Project and are publicly available via marmosetbrainmapping.org/v3.html.
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Affiliation(s)
- Cirong Liu
- Department of Neurobiology, University of Pittsburgh Brain Institute, 3501 Fifth Avenue, 6065 Biomedical Science Tower 3, Pittsburgh PA, USA; Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
| | - Cecil Chern-Chyi Yen
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Diego Szczupak
- Department of Neurobiology, University of Pittsburgh Brain Institute, 3501 Fifth Avenue, 6065 Biomedical Science Tower 3, Pittsburgh PA, USA; Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Xiaoguang Tian
- Department of Neurobiology, University of Pittsburgh Brain Institute, 3501 Fifth Avenue, 6065 Biomedical Science Tower 3, Pittsburgh PA, USA; Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health (NIMH/NIH), Bethesda, MD, USA
| | - Afonso C Silva
- Department of Neurobiology, University of Pittsburgh Brain Institute, 3501 Fifth Avenue, 6065 Biomedical Science Tower 3, Pittsburgh PA, USA; Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
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Pang H, Yu Z, Li R, Yang H, Fan G. MRI-Based Radiomics of Basal Nuclei in Differentiating Idiopathic Parkinson's Disease From Parkinsonian Variants of Multiple System Atrophy: A Susceptibility-Weighted Imaging Study. Front Aging Neurosci 2020; 12:587250. [PMID: 33281598 PMCID: PMC7689200 DOI: 10.3389/fnagi.2020.587250] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/08/2020] [Indexed: 12/11/2022] Open
Abstract
Objectives To investigate the value of MRI-based radiomic model based on the radiomic features of different basal nuclei in differentiating idiopathic Parkinson's disease (IPD) from Parkinsonian variants of multiple system atrophy (MSA-P). Methods Radiomics was applied to the 3T susceptibility- weighted imaging (SWI) from 102 MSA-P patients and 83 IPD patients (allocated to a training and a testing cohort, 7:3 ratio). The substantia nigra (SN), caudate nucleus (CN), putamen (PUT), globus pallidus (GP), red nucleus (RN), and subthalamic nucleus (STN) were manually segmented, and 396 features were extracted. After feature selection, support vector machine (SVM) was generated, and its predictive performance was calculated in both the training and testing cohorts using the area under receiver operating characteristic curve (AUC). Results Seven radiomic features were selected from the PUT, by which the SVM classifier achieved the best diagnostic performance with an AUC of 0.867 in the training cohort and an AUC of 0.862 in the testing cohort. Furthermore, the combined model, which incorporating part III of the Parkinson's Disease Rating Scale (UPDRSIII) scores into radiomic features of the PUT, further improved the diagnostic performance. However, radiomic features extracted from RN, SN, GP, CN, and STN had moderate to poor diagnostic performance, with AUC values that ranged from 0.610 to 0.788 in the training cohort and 0.583 to 0.766 in the testing cohort. Conclusion Radiomic features derived from the PUT had optimal value in differentiating IPD from MSA-P. A combined radiomic model, which contained radiomic features of the PUT and UPDRSIII scores, further improved performance and may represent a promising tool for distinguishing between IPD and MSA-P.
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Affiliation(s)
- Huize Pang
- Department of Radiology, The first affiliated hospital of China Medical University, China Medical University, Shenyang, China
| | - Ziyang Yu
- School of Medicine, Xiamen University, Xiamen, China
| | - Renyuan Li
- Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.,The Affiliated Sir Run Run Shaw hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Huaguang Yang
- Department of Radiology, The first affiliated hospital of China Medical University, China Medical University, Shenyang, China
| | - Guoguang Fan
- Department of Radiology, The first affiliated hospital of China Medical University, China Medical University, Shenyang, China
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Measurement of baseline locomotion and other behavioral traits in a common marmoset model of Parkinson's disease established by a single administration regimen of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine: providing reference data for efficacious preclinical evaluations. Behav Pharmacol 2020; 31:45-60. [PMID: 31625972 PMCID: PMC6964884 DOI: 10.1097/fbp.0000000000000509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Supplemental Digital Content is available in the text. Baseline locomotion and behavioral traits in the common marmoset Parkinson's disease model were examined to provide basic information for preclinical evaluations of medical treatments. A single regimen of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine at a cumulative dose of 5 mg/kg as the free base over three consecutive days was administered subcutaneously to 10 marmosets. Data obtained from these marmosets were compared to pre-1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine levels or 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine free marmosets. After the single regimen, reduced daily locomotion, a measure of immobility (a primary sign of Parkinsonism), was observed for more than a year. A moving tremor was also observed by visual inspection during this period. When apomorphine (0.13 mg/kg, s.c.) was administered, either right or left circling behavior was observed in a cylindrical chamber in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine marmosets, suggestive of unequal neural damage between the two brain hemispheres to different extents. MRI revealed that T1 relaxation time in the right substantia nigra correlated with right circling in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine marmosets. Histology was supportive of dopaminergic neural loss in the striatum. These results increase our understanding of the utility and limitations of the Parkinson's disease model in marmosets with a single 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine regimen, and provide reference data for efficacious preclinical evaluations.
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Müller HP, Roselli F, Rasche V, Kassubek J. Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases. Front Neurosci 2020; 14:734. [PMID: 32982659 PMCID: PMC7487414 DOI: 10.3389/fnins.2020.00734] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/22/2020] [Indexed: 12/11/2022] Open
Abstract
The understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases has substantially improved by the non-invasive magnetic resonance imaging (MRI) technique of diffusion tensor imaging (DTI). Animal models (including disease or knockout models) allow for a variety of experimental manipulations, which are not applicable to humans. Thus, the DTI approach provides a promising tool for cross-species cross-sectional and longitudinal investigations of the neurobiological targets and mechanisms of neurodegeneration. This overview with a systematic review focuses on the principles of DTI analysis as used in studies at the group level in living preclinical models of neurodegeneration. The translational aspect from in-vivo animal models toward (clinical) applications in humans is covered as well as the DTI-based research of the non-human brains' microstructure, the methodological aspects in data processing and analysis, and data interpretation at different abstraction levels. The aim of integrating DTI in multiparametric or multimodal imaging protocols will allow the interrogation of DTI data in terms of directional flow of information and may identify the microstructural underpinnings of neurodegeneration-related patterns.
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Affiliation(s)
| | - Francesco Roselli
- Department of Neurology, University of Ulm, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Volker Rasche
- Core Facility Small Animal MRI, University of Ulm, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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Li Z, Liu W, Xiao C, Wang X, Zhang X, Yu M, Hu X, Qian L. Abnormal white matter microstructures in Parkinson's disease and comorbid depression: A whole-brain diffusion tensor imaging study. Neurosci Lett 2020; 735:135238. [PMID: 32645398 DOI: 10.1016/j.neulet.2020.135238] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 07/02/2020] [Accepted: 07/05/2020] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Depressive symptoms are the most common non-motor symptom accompanying Parkinson's disease (PD); however, the neural basis of depression in PD remains unclear. The aim of this study was to characterize possible depression-related white matter microstructural differences in patients with PD and comorbid depression compared with PD patients and healthy controls (HC) without depression. METHODS We used diffusion tensor imaging (DTI) to analyze white matter integrity in depressed PD patients (n = 30), non-depressed PD patients (n = 43), and HC (n = 91). Five MRI-derived indices were estimated: fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and white matter volume (WMV). RESULTS Compared with HC and non-depressed PD, depressed PD patients showed significantly increased AD values in the body of corpus callosum, right anterior corona radiate, and left hippocampal part of the cingulum, as well as increased MD values in the left hippocampal part of the cingulum. CONCLUSIONS Our results show that frontal and limbic white matter integrity is impaired in depressed PD patients. These findings can be used to better understand potential mechanisms of depression in PD.
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Affiliation(s)
- Zonghong Li
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Weiguo Liu
- Department of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chaoyong Xiao
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiao Wang
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiangrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Miao Yu
- Department of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiao Hu
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Long Qian
- Department of Biomedical Engineering, Peking University, Beijing, 100871, China; Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China; McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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8
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Pardini M, Nobili F, Arnaldi D, Morbelli S, Bauckneht M, Rissotto R, Serrati C, Serafini G, Lapucci C, Ghio L, Amore M, Massucco D, Sassos D, Bonzano L, Mancardi GL, Roccatagliata L. 123I-FP-CIT SPECT validation of nigro-putaminal MRI tractography in dementia with Lewy bodies. Eur Radiol Exp 2020; 4:27. [PMID: 32363488 PMCID: PMC7196565 DOI: 10.1186/s41747-020-00153-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 03/06/2020] [Indexed: 12/27/2022] Open
Abstract
Background Assessment of nigrostriatal degeneration is a key element to discriminate between dementia with Lewy bodies (DLB) and Alzheimer disease (AD), and it is often evaluated using ioflupane (123I-FP-CIT) single-photon emission computed tomography (SPECT). Given the limited availability of 123I-FP-CIT SPECT, we evaluated if a mask-based approach to nigroputaminal magnetic resonance imaging (MRI) diffusion-weighted tractography could be able to capture microstructural changes reflecting nigroputaminal degeneration in DLB. Methods A nigroputaminal bundle mask was delineated on 12 healthy volunteers (HV) and applied to MRI diffusion-weighted data of 18 subjects with DLB, 21 subjects with AD and another group of 12 HV. The correlation between nigroputaminal fractional anisotropy (FA) values and 123I-FP-CIT SPECT findings was investigated. Shapiro-Wilk, ANOVA, ANCOVA, and parametric correlation statistics as well as receiver operating characteristic (ROC) analysis were used. Results DLB patients showed a higher nigroputaminal FA values compared with both AD and HV-controls groups (p = 0.001 for both comparisons), while no difference was observed between HV-controls and AD groups (p = 0.450); at ROC analysis, the area under the curve for the discriminating DLB and AD subjects was 0.820; FA values correlated with 123I-FP-CIT values (on the left, r = -0.670; on the right, r = -720). No significant differences were observed for the FA of the corticospinal tract across the three groups (p = 0.740). Conclusions In DLB, nigroputaminal degeneration could be reliably assessed on MRI diffusion scans using a mask of nigroputaminal bundle trajectory. Nigroputaminal FA in DLB patients correlated with 123I-FP-CIT values data may allow to differentiate these patients from AD patients and HV-controls.
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Affiliation(s)
- Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Silvia Morbelli
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Bauckneht
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Carlo Serrati
- Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Caterina Lapucci
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Lucio Ghio
- Psychiatry Branch, Galliera Hospital, Genoa, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | | | - Davide Sassos
- Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Laura Bonzano
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Giovanni Luigi Mancardi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Luca Roccatagliata
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy. .,Department of Neuroradiology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.
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Nephew BC, Nemeth A, Hudda N, Beamer G, Mann P, Petitto J, Cali R, Febo M, Kulkarni P, Poirier G, King J, Durant JL, Brugge D. Traffic-related particulate matter affects behavior, inflammation, and neural integrity in a developmental rodent model. ENVIRONMENTAL RESEARCH 2020; 183:109242. [PMID: 32097814 PMCID: PMC7167358 DOI: 10.1016/j.envres.2020.109242] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 02/05/2020] [Accepted: 02/06/2020] [Indexed: 05/22/2023]
Abstract
Recent studies indicate that exposure to airborne particulate matter (PM) is associated with cognitive delay, depression, anxiety, autism, and neurodegenerative diseases; however, the role of PM in the etiology of these outcomes is not well-understood. Therefore, there is a need for controlled animal studies to better elucidate the causes and mechanisms by which PM impacts these health outcomes. We assessed the effects of gestational and early life exposure to traffic-related PM on social- and anxiety-related behaviors, cognition, inflammatory markers, and neural integrity in juvenile male rats. Gestating and lactating rats were exposed to PM from a Boston (MA, USA) traffic tunnel for 5 h/day, 5 days/week for 6 weeks (3 weeks gestation, 3 weeks lactation). The target exposure concentration for the fine fraction of nebulized PM, measured as PM2.5, was 200 μg/m3. To assess anxiety and cognitive function, F1 male juveniles underwent elevated platform, cricket predation, nest building, social behavior and marble burying tests at 32-60 days of age. Upon completion of behavioral testing, multiple cytokines and growth factors were measured in these animals and their brains were analyzed with diffusion tensor MRI to assess neural integrity. PM exposure had no effect on litter size or weight, or offspring growth; however, F1 litters developmentally exposed to PM exhibited significantly increased anxiety (p = 0.04), decreased cognition reflected in poorer nest-organization (p = 0.04), and decreased social play and allogrooming (p = 0.003). MRI analysis of ex vivo brains revealed decreased structural integrity of neural tissues in the anterior cingulate and hippocampus in F1 juveniles exposed to PM (p < 0.01, p = 0.03, respectively). F1 juvenile males exposed to PM also exhibited significantly decreased plasma levels of both IL-18 (p = 0.03) and VEGF (p = 0.04), and these changes were inversely correlated with anxiety-related behavior. Chronic exposure of rat dams and their offspring to traffic-related PM during gestation and lactation decreases social behavior, increases anxiety, impairs cognition, decreases levels of inflammatory and growth factors (which are correlated with behavioral changes), and disrupts neural integrity in the juvenile male offspring. Our findings add evidence that exposure to traffic-related air pollution during gestation and lactation is involved in the etiology of autism spectrum disorder and other disorders which include social and cognitive deficits and/or increased anxiety.
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Affiliation(s)
- Benjamin C Nephew
- Worcester Polytechnic Institute, Department of Biology and Biotechnology, 100 Institute Rd, Worcester, MA, 01609, USA; University of Massachusetts Medical School, Department of Psychiatry, 55 N. Lake Road, Worcester, MA, 01655, USA.
| | - Alexandra Nemeth
- Cummings School of Veterinary Medicine, Tufts University, 200 Westboro Road, North Grafton, MA, 01536, USA
| | - Neelakshi Hudda
- Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Gillian Beamer
- Cummings School of Veterinary Medicine, Department of Infectious Disease and Global Health, 200 Westboro Road, North Grafton, MA, 01536, USA
| | - Phyllis Mann
- Cummings School of Veterinary Medicine, Department of Biomedical Sciences, 200 Westboro Road, North Grafton, MA, 01536, USA
| | - Jocelyn Petitto
- Worcester Polytechnic Institute, Bioinformatics and Computational Biology Program, 100 Institute Rd, Worcester, MA, 01609, USA
| | - Ryan Cali
- Worcester Polytechnic Institute, Department of Biology and Biotechnology, 100 Institute Rd, Worcester, MA, 01609, USA; University of Massachusetts Medical School, Department of Psychiatry, 55 N. Lake Road, Worcester, MA, 01655, USA
| | - Marcelo Febo
- Department of Psychiatry, University of Florida, Gainesville, FL, 32610, USA
| | - Praveen Kulkarni
- Center for Translational NeuroImaging, Northeastern University, Boston, MA, USA
| | - Guillaume Poirier
- University of Massachusetts Medical School, Department of Psychiatry, 55 N. Lake Road, Worcester, MA, 01655, USA
| | - Jean King
- Worcester Polytechnic Institute, Department of Biology and Biotechnology, 100 Institute Rd, Worcester, MA, 01609, USA; University of Massachusetts Medical School, Department of Psychiatry, 55 N. Lake Road, Worcester, MA, 01655, USA
| | - John L Durant
- Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA; Department of Public Health and Community Medicine, Tufts University, 136 Harrison Avenue, Boston, MA, 02111, USA; Jonathan M. Tisch College of Civil Life, Tufts University, 10 Upper Campus Road, Medford, MA, 02155, USA
| | - Doug Brugge
- Department of Public Health Sciences, University of Connecticut, 195 Farmington Ave., Farmington, CT, 06032, USA
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10
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Hansen B. Diffusion Kurtosis Imaging as a Tool in Neurotoxicology. Neurotox Res 2019; 37:41-47. [PMID: 31422570 DOI: 10.1007/s12640-019-00100-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 07/05/2019] [Indexed: 10/26/2022]
Abstract
This commentary serves as an introduction to the magnetic resonance imaging (MRI) technique called diffusion kurtosis imaging (DKI) employed in the study by Arab et al. in the present issue of Neurotoxicology Research. In their study, DKI is employed for longitudinal investigation of a methamphetamine intoxication model of Parkinson's disease. The study employs an impressive number of animals and combines DKI with behavioral analysis at multiple time points. The commentary discusses some aspects of the study design especially the strength of combining behavioral analysis with MRI in an effort to provide as thorough a characterization and validity assessment of the animal model and cohort as possible. The potential clinical value of combining multiple MRI techniques (multimodal MRI) in PD is discussed as well as the benefit of multimodal MRI combined with behavioral analysis and subsequent histological analysis for in-depth characterization of animal models.
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Affiliation(s)
- Brian Hansen
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Aarhus, Denmark.
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11
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1-Trichloromethyl-1,2,3,4-tetrahydro-beta-carboline (TaClo) Induces the Apoptosis of Dopaminergic Neurons via Oxidative Stress and Neuroinflammation. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:1292891. [PMID: 30984332 PMCID: PMC6431519 DOI: 10.1155/2019/1292891] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 01/21/2019] [Indexed: 12/31/2022]
Abstract
Several in vitro studies have revealed the neurotoxicity of 1-trichloromethyl-1,2,3,4-tetrahydro-beta-carboline (TaClo). However, the underlying mechanism has not been completely elucidated, particularly in vivo. This study was designed to study the neurotoxicity of TaClo in vivo by stereotactically injecting TaClo into the striatum of Wistar rats. After the TaClo injections, rats were subjected to an open field test, and their distance travelled and tracks showed decreasing trends over time. The results of liquid chromatography-mass spectrometry analysis showed that the motor dysfunction of the TaClo-treated rats was accompanied by reduced dopamine levels in the striatum. Based on the diffusion tensor imaging data, the apparent diffusion coefficient of the nigrostriatal pathway was significantly increased, and subsequent histological staining revealed the demyelination of nigrostriatal fibres after the TaClo treatment. TaClo induced a loss of tyrosine hydroxylase-positive cells in the substantia nigra compacta. Regarding the underlying mechanism, TaClo caused oxidative stress in the nigrostriatal system by increasing the production of reactive oxygen species and reducing the mitochondria membrane potential. Meanwhile, the elevated expression of Iba-1, TNF-α, IL-6, Cox-2, and iNOS indicated microglial activation and a strong innate immune response in the nigrostriatal system. In addition, activated caspase-3 levels were increased. Thus, both mitochondrial impairments and the innate immune response are involved in TaClo-induced neurotoxicity.
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Cao X, Xiao H, Yang M, Chen X. RETRACTED ARTICLE: The Neuroprotective Effect of Histamine H4 Receptor Antagonist on Dopaminergic Neurons in Parkinson's Disease. J Mol Neurosci 2019; 68:319. [PMID: 30798471 DOI: 10.1007/s12031-018-1242-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 12/11/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Xu Cao
- Department of Neurology, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen, China. .,Department of Neurology, Shenzhen People's Hospital, Jinan University, Shenzhen, China.
| | - Haibing Xiao
- Department of Neurology, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Miaojuan Yang
- Department of Neurology, Shenzhen People's Hospital, Jinan University, Shenzhen, China
| | - Xiaowu Chen
- Department of Neurology, Shenzhen People's Hospital, Jinan University, Shenzhen, China
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13
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Pathophysiology of levodopa-induced dyskinesia: Insights from multimodal imaging and immunohistochemistry in non-human primates. Neuroimage 2018; 183:132-141. [DOI: 10.1016/j.neuroimage.2018.08.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 07/21/2018] [Accepted: 08/09/2018] [Indexed: 12/12/2022] Open
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14
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Liang H, Chang L, Chen R, Oishi K, Ernst T. Independent and Combined Effects of Chronic HIV-Infection and Tobacco Smoking on Brain Microstructure. J Neuroimmune Pharmacol 2018; 13:509-522. [PMID: 30225549 PMCID: PMC6247419 DOI: 10.1007/s11481-018-9810-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 09/04/2018] [Indexed: 12/17/2022]
Abstract
HIV-infected individuals (HIV+) have 2-3 times higher prevalence of tobacco smoking than the general U.S. population. This study aims to evaluate the independent and combined effects of tobacco-smoking and HIV-infection on brain microstructure and cognition using a 2 × 2 design. 21 HIV + Smokers, 25 HIV + Nonsmokers, 25 Seronegative (SN)-Smokers and 23 SN-Nonsmokers were evaluated using diffusion tensor imaging. Fractional anisotropy (FA), mean (MD), radial (RD) and axial (AD) diffusivity were assessed in 8 major cerebral fiber tracts and 5 subcortical regions. Cognitive performance in 7 neurocognitive domains was also assessed. Compared to SN, HIV+ had higher AD in genu of corpus callosum (GCC, p = 0.002). Smokers also had higher diffusivities in GCC, splenium of corpus callosum (SCC), anterior corona radiata (ACR), sagittal stratum (SS) and superior fronto-occipital fasciculus (SFO), than Nonsmokers (p-values<0.001-0.003). Tobacco-Smoking and HIV-infection showed synergistic effects on AD_SS (p = 0.002) and RD_SFO (p = 0.02), but opposite effects in FA_putamen (p = 0.024). Additive effects from HIV+ and Tobacco-Smoking were observed in 9 other white matter tracts, with highest diffusivities and lowest FA in HIV + Smokers. Higher diffusivities in the GCC, SCC, ACR and SS predicted poorer cognitive performance across all participants (p ≤ 0.001). Higher AD_GCC also predicted slower Speed of information processing and poorer Fluency and Attention only in HIV + Smokers (p = 0.001-0.003). Chronic tobacco smoking and HIV-infection appear to have additive and synergistic adverse effects on brain diffusivities, suggesting greater neuroinflammation, which may contribute to poorer cognition. Therefore, chronic tobacco-smoking may be a risk factor for HIV-associated neurocognitive disorders. Graphical Abstract ᅟ.
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Affiliation(s)
- Huajun Liang
- Department of Radiology, University of Maryland Baltimore School of Medicine, 419 W. Redwood Street, Suite 225, Baltimore, MD, 21201, USA
| | - Linda Chang
- Department of Radiology, University of Maryland Baltimore School of Medicine, 419 W. Redwood Street, Suite 225, Baltimore, MD, 21201, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Rong Chen
- Department of Radiology, University of Maryland Baltimore School of Medicine, 419 W. Redwood Street, Suite 225, Baltimore, MD, 21201, USA
| | - Kenichi Oishi
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas Ernst
- Department of Radiology, University of Maryland Baltimore School of Medicine, 419 W. Redwood Street, Suite 225, Baltimore, MD, 21201, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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15
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Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging. Curr Neurol Neurosci Rep 2018; 18:83. [PMID: 30280267 DOI: 10.1007/s11910-018-0894-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
PURPOSE OF REVIEW Advances in neuroimaging techniques pave a rich avenue for in vivo progression biomarkers, which can objectively and noninvasively assess the long-term dynamic alterations in the brain of Parkinson's disease (PD) patients. This article reviews recent progress in structural magnetic resonance imaging (MRI) tools to track disease progression in PD, and discusses specific criteria a neuroimaging tool needs to meet to be a progression biomarker of PD and the potential applications of these techniques in PD based on current evidence. RECENT FINDINGS Recent longitudinal studies showed that quantitative structural MRI markers derived from T1-weighted, diffusion-weighted, neuromelanin-sensitive, and iron-sensitive imaging have the potential to track disease progression in PD. However, validation of these progression biomarkers is only beginning, and more work is required for multisite validation, the sample size for use in a clinical trial, and drug-responsiveness of most of these biomarkers. At present, the most clinical trial-ready biomarker is free-water diffusion imaging of the substantia nigra and seems well established to be used in disease-modifying studies in PD. A variety of structural imaging biomarkers are promising candidates to be progression biomarkers in PD. Further studies are needed to elucidate the sensitivity, reliability, sample size, and effect of confounding factors of these progression biomarkers.
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Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson's disease: Retrograde degeneration observed by tract-profile analysis. Parkinsonism Relat Disord 2018. [PMID: 29525556 DOI: 10.1016/j.parkreldis.2018.02.046] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Parkinson's disease (PD) is marked by the degeneration of dopaminergic neurons in the nigrostriatal pathway (NSP). We aimed to identify the microstructural changes in the NSP of PD patients using neurite orientation dispersion and density imaging (NODDI). METHODS NSPs of 29 PD patients, who were retrospectively selected from patients previously admitted to our institution, and 29 age- and gender-matched healthy controls were isolated via deterministic tractography. The NODDI indices, intracellular volume fraction (Vic), orientation dispersion index (OD), and isotropic volume fraction (Viso) were compared between the two groups. The significant results were assessed with a tract-profile analysis. The correlation between indices and disease duration or motor symptom severity was evaluated with the Pearson's correlation test. RESULTS The contralateral distal Vic (p = 0.00028) of the nigrostriatal pathway was significantly lower in PD patients than in healthy controls. No correlations were detected between any of the indices and disease duration or motor symptom severity. CONCLUSIONS NODDI can be used to identify retrograde degeneration of the NSP in PD patients and might be useful for monitoring the disease progression of PD.
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Arab A, Wojna-Pelczar A, Khairnar A, Szabó N, Ruda-Kucerova J. Principles of diffusion kurtosis imaging and its role in early diagnosis of neurodegenerative disorders. Brain Res Bull 2018; 139:91-98. [PMID: 29378223 DOI: 10.1016/j.brainresbull.2018.01.015] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/15/2018] [Accepted: 01/19/2018] [Indexed: 11/19/2022]
Abstract
Pathology of neurodegenerative diseases can be correlated with intra-neuronal as well as extracellular changes which lead to neuronal degeneration. The central nervous system (CNS) is a complex structure comprising of many biological barriers. These microstructural barriers might be affected by a variety of pathological processes. Specifically, changes in the brain tissue's microstructure affect the diffusion of water which can be assessed non-invasively by diffusion weighted (DW) magnetic resonance imaging (MRI) techniques. Diffusion tensor imaging (DTI) is a diffusion MRI technique that considers diffusivity as a Gaussian process, i.e. does not account for any diffusion hindrance. However, environment of the brain tissues is characterized by a non-Gaussian diffusion. Therefore, diffusion kurtosis imaging (DKI) was developed as an extension of DTI method in order to quantify the non-Gaussian distribution of water diffusion. This technique represents a promising approach for early diagnosis of neurodegenerative diseases when the neurodegenerative process starts. Hence, the purpose of this article is to summarize the ongoing clinical and preclinical research on Parkinson's, Alzheimer's and Huntington diseases, using DKI and to discuss the role of this technique as an early stage biomarker of neurodegenerative conditions.
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Affiliation(s)
- Anas Arab
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Anna Wojna-Pelczar
- Research group Multimodal and Functional Neuroimaging, CEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Amit Khairnar
- Department of Pharmacology and Toxicology, National institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, Gandhinagar, Gujrat, India.
| | - Nikoletta Szabó
- Research group Multimodal and Functional Neuroimaging, CEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary
| | - Jana Ruda-Kucerova
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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Jeong HS, Lee SR, Kim JE, Lyoo IK, Yoon S, Namgung E, Chang KT, Kim BS, Yang S, Im JJ, Jeon S, Kang I, Ma J, Chung YA, Lim SM. Brain structural changes in cynomolgus monkeys administered with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine: A longitudinal voxel-based morphometry and diffusion tensor imaging study. PLoS One 2018; 13:e0189804. [PMID: 29320500 PMCID: PMC5761839 DOI: 10.1371/journal.pone.0189804] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 12/02/2017] [Indexed: 12/28/2022] Open
Abstract
In animal models of Parkinson's disease (PD), 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is one of the most widely used agents that damages the nigrostriatal dopaminergic pathway. However, brain structural changes in response to MPTP remain unclear. This study aimed to investigate in vivo longitudinal changes in gray matter (GM) volume and white matter (WM) microstructure in primate models administered with MPTP. In six cynomolgus monkeys, high-resolution magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) scans were acquired 7 times over 32 weeks, and assessments of motor symptoms were conducted over 15 months, before and after the MPTP injection. Changes in GM volume and WM microstructure were estimated on a voxel-by-voxel basis. Mixed-effects regression models were used to examine the trajectories of these structural changes. GM volume initially increased after the MPTP injection and gradually decreased in the striatum, midbrain, and other dopaminergic areas. The cerebellar volume temporarily decreased and returned to its baseline level. The rate of midbrain volume increase was positively correlated with the increase rate of motor symptom severity (Spearman rho = 0.93, p = 0.008). Mean, axial, and radial diffusivity in the striatum and frontal areas demonstrated initial increases and subsequent decreases. The current multi-modal imaging study of MPTP-administered monkeys revealed widespread and dynamic structural changes not only in the nigrostriatal pathway but also in other cortical, subcortical, and cerebellar areas. Our findings may suggest the need to further investigate the roles of inflammatory reactions and glial activation as potential underlying mechanisms of these structural changes.
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Affiliation(s)
- Hyeonseok S. Jeong
- Department of Radiology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sang-Rae Lee
- National Primate Research Center, Korean Research Institute of Bioscience and Biotechnology, Ochang, South Korea
| | - Jieun E. Kim
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Eun Namgung
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Kyu-Tae Chang
- National Primate Research Center, Korean Research Institute of Bioscience and Biotechnology, Ochang, South Korea
| | - Bom Sahn Kim
- Department of Nuclear Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea
| | - Sejung Yang
- Institute of Convergence Medicine, Ewha Womans University Medical Center, Seoul, South Korea
| | - Jooyeon J. Im
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Interdisciplinary Program in Neuroscience, College of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Saerom Jeon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Ilhyang Kang
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Jiyoung Ma
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Interdisciplinary Program in Neuroscience, College of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Yong-An Chung
- Department of Radiology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Soo Mee Lim
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
- Department of Radiology, Ewha Womans University Mokdong Hospital, Seoul, South Korea
- * E-mail:
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Météreau E, Beaudoin-Gobert M, Duperrier S, Thobois S, Tremblay L, Sgambato-Faure V. Diffusion tensor imaging marks dopaminergic and serotonergic lesions in the Parkinsonian monkey. Mov Disord 2017; 33:298-309. [DOI: 10.1002/mds.27201] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/24/2017] [Accepted: 08/27/2017] [Indexed: 12/31/2022] Open
Affiliation(s)
- Elise Météreau
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
| | - Maude Beaudoin-Gobert
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
| | - Sandra Duperrier
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
| | - Stéphane Thobois
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer; Lyon France
| | - Léon Tremblay
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
| | - Véronique Sgambato-Faure
- Université de Lyon, Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod; Bron France
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Bellucci A, Antonini A, Pizzi M, Spano P. The End Is the Beginning: Parkinson's Disease in the Light of Brain Imaging. Front Aging Neurosci 2017; 9:330. [PMID: 29066967 PMCID: PMC5641408 DOI: 10.3389/fnagi.2017.00330] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 09/25/2017] [Indexed: 01/15/2023] Open
Abstract
Parkinson's disease (PD), the most common neurodegenerative disorder, is characterized by abnormal accumulation of α-synuclein aggregates known as Lewy bodies (LB) and loss of nigrostriatal dopaminergic neurons. Recent neuroimaging studies suggest that in the early phases of PD, synaptic and axonal damage anticipate the onset of a frank neuronal death. Paralleling, even post mortem studies on the brain of affected patients and on animal models support that synapses might represent the primary sites of functional and pathological changes. Indeed, α-synuclein microaggregation and spreading at terminals, by dysregulating the synaptic junction, would block neurotransmitter release, thus triggering a retrograde neurodegenerative process ending with neuronal cell loss by proceeding through the axons. Rather than neurodegeneration, loss of dopaminergic neuronal endings and axons could thus underlie the onset of connectome dysfunction and symptoms in PD and parkinsonisms. However, the manifold biases deriving from the interpretation of human brain imaging data hinder the validation of this hypothesis. Here, we present pivotal evidence supporting that novel comparative brain imaging studies, in patients and experimental models of PD in preliminary stages of disease, could be instrumental for proving whether synaptic endings are the sites where degeneration begins and initiating the factual achievement of disease modifying approaches. The need for such investigations is timely to define an early therapeutic window of intervention to attempt disease halting by terminal and/or axonal healing.
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Affiliation(s)
- Arianna Bellucci
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.,Laboratory of Preventive and Personalized Medicine, University of Brescia, Brescia, Italy
| | - Angelo Antonini
- Department of Neurosciences, University of Padova, Padova, Italy.,Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Camillo, Venezia, Italy
| | - Marina Pizzi
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - PierFranco Spano
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.,Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Camillo, Venezia, Italy
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21
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Magnetic resonance imaging and tensor-based morphometry in the MPTP non-human primate model of Parkinson's disease. PLoS One 2017; 12:e0180733. [PMID: 28738061 PMCID: PMC5524324 DOI: 10.1371/journal.pone.0180733] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 06/20/2017] [Indexed: 12/30/2022] Open
Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disorder producing a variety of motor and cognitive deficits with the causes remaining largely unknown. The gradual loss of the nigrostriatal pathway is currently considered the pivotal pathological event. To better understand the progression of PD and improve treatment management, defining the disease on a structural basis and expanding brain analysis to extra-nigral structures is indispensable. The anatomical complexity and the presence of neuromelanin, make the use of non-human primates an essential element in developing putative imaging biomarkers of PD. To this end, ex vivo T2-weighted magnetic resonance images were acquired from control and 1-methyl-4 phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated marmosets. Volume measurements of the caudate, putamen, and substantia nigra indicated significant atrophy and cortical thinning. Tensor-based morphometry provided a more extensive and hypothesis free assessment of widespread changes caused by the toxin insult to the brain, especially highlighting regional cortical atrophy. The results highlight the importance of developing imaging biomarkers of PD in non-human primate models considering their distinct neuroanatomy. It is essential to further develop these biomarkers in vivo to provide non-invasive tools to detect pre-symptomatic PD and to monitor potential disease altering therapeutics.
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Blesa J, Trigo-Damas I, del Rey NLG, Obeso JA. The use of nonhuman primate models to understand processes in Parkinson’s disease. J Neural Transm (Vienna) 2017; 125:325-335. [DOI: 10.1007/s00702-017-1715-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Accepted: 03/16/2017] [Indexed: 02/07/2023]
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23
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Lenfeldt N, Eriksson J, Åström B, Forsgren L, Mo SJ. Fractional Anisotropy and Mean Diffusion as Measures of Dopaminergic Function in Parkinson’s Disease: Challenging Results. JOURNAL OF PARKINSONS DISEASE 2017; 7:129-142. [DOI: 10.3233/jpd-161011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Niklas Lenfeldt
- Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Johan Eriksson
- Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Björn Åström
- Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Lars Forsgren
- Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
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Plasma DNA Mediate Autonomic Dysfunctions and White Matter Injuries in Patients with Parkinson's Disease. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2017; 2017:7371403. [PMID: 28232858 PMCID: PMC5292395 DOI: 10.1155/2017/7371403] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/08/2016] [Accepted: 12/19/2016] [Indexed: 11/18/2022]
Abstract
Background. Cardiovascular autonomic dysfunction is well known in Parkinson's disease (PD) presentation and it produces hypoperfusion of vital organs. The association between cardiovascular autonomic dysfunction and oxidative stress was examined in previous animal models. Oxidative stress and neuroinflammation were thought to have roles in PD pathogenesis. Owing to the relative low intrinsic antioxidative properties, brain white matter (WM) is vulnerable to the oxidative stress. This study is conducted to examine possible relationships by using a hypothesis-driven mediation model. Methods. Twenty-nine patients with PD and 26 healthy controls participated in this study, with complete examinations of cardiac autonomic parameters, plasma DNA level, and WM integrity. A single-level three-variable mediation model was used to investigate the possible relationships. Results. The elevated serum oxidative stress biomarkers include plasma nuclear DNA and mitochondrial DNA, and poorer cardiac autonomic parameters and multiple regional microstructural WM changes are demonstrated. Further mediation analysis shows that plasma nuclear DNA served as the mediators between poorer baroreflex sensitivity and mean diffusivity changes in cingulum. Conclusions. These results provide a possible pathophysiology for how the poor baroreflex sensitivity and higher oxidative stress adversely impacted the WM integrity. This model could provide us with a piece of the puzzle of the entire PD pathogenesis.
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25
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Liu LX, Du D, Zheng T, Fang Y, Chen YS, Yi HL, He QY, Gao DW, Shi QL. Detecting dopaminergic neuronal degeneration using diffusion tensor imaging in a rotenone-induced rat model of Parkinson's disease: fractional anisotropy and mean diffusivity values. Neural Regen Res 2017; 12:1485-1491. [PMID: 29089995 PMCID: PMC5649470 DOI: 10.4103/1673-5374.213559] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Dopamine content in the basal ganglia is strongly associated with the degree of dopaminergic neuron loss in the substantia nigra pars compacta. Symptoms of Parkinson's disease might not arise until more than 50% of the substantia nigra pars compacta is lost and the dopamine content in the basal ganglia is reduced by more than 80%. Greater diagnostic sensitivity and specificity would allow earlier detection of Parkinson's disease. Diffusion tensor imaging is a recently developed magnetic resonance imaging technique that measures mean diffusivity and fractional anisotropy, and responds to changes in brain microstructure. When the microscopic barrier (including cell membranes, microtubules and other structures that interfere with the free diffusion of water) is destroyed and extracellular fluid volume accumulates, the mean diffusivity value increases; when the integrity of the microstructure (such as myelin) is destroyed, fractional anisotropy value decreases. However, there is no consensus as to whether these changes can reflect the early pathological alterations in Parkinson's disease. Here, we established a rat model of Parkinson's disease by injecting rotenone (or sunflower oil in controls) into the right substantia nigra. Diffusion tensor imaging results revealed that in the stages of disease, at 1, 2, 4, and 6 weeks after rotenone injection, fractional anisotropy value decreased, but mean diffusivity values increased in the right substantia nigra in the experimental group. Fractional anisotropy values were lower at 4 weeks than at 6 weeks in the right substantia nigra of rats from the experimental group. Mean diffusivity values were markedly greater at 1 week than at 6 weeks in the right corpus striatum of rats from the experimental group. These findings suggest that mean diffusivity and fractional anisotropy values in the brain of rat models of Parkinson's disease 4 weeks after model establishment can reflect early degeneration of dopaminergic neurons. The change in fractional anisotropy values after destruction of myelin integrity is likely to be of greater early diagnostic significance than the change in mean diffusivity values.
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Affiliation(s)
- Lan-Xiang Liu
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Dan Du
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Tao Zheng
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Yuan Fang
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Yan-Sheng Chen
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Hui-Ling Yi
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Qing-Yuan He
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Da-Wei Gao
- College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao, Hebei Province, China
| | - Qing-Lei Shi
- Scientific Clinical Specialist, Siemens Ltd., Beijing, China
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26
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Silva AC. Anatomical and functional neuroimaging in awake, behaving marmosets. Dev Neurobiol 2016; 77:373-389. [PMID: 27706916 DOI: 10.1002/dneu.22456] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 09/28/2016] [Accepted: 09/28/2016] [Indexed: 12/12/2022]
Abstract
The common marmoset (Callithrix jacchus) is a small New World monkey that has gained significant recent interest in neuroscience research, not only because of its compatibility with gene editing techniques, but also due to its tremendous versatility as an experimental animal model. Neuroimaging modalities, including anatomical (MRI) and functional magnetic resonance imaging (fMRI), complemented by two-photon laser scanning microscopy and electrophysiology, have been at the forefront of unraveling the anatomical and functional organization of the marmoset brain. High-resolution anatomical MRI of the marmoset brain can be obtained with remarkable cytoarchitectonic detail. Functional MRI of the marmoset brain has been used to study various sensory systems, including somatosensory, auditory, and visual pathways, while resting-state fMRI studies have unraveled functional brain networks that bear great correspondence to those previously described in humans. Two-photon laser scanning microscopy of the marmoset brain has enabled the simultaneous recording of neuronal activity from thousands of neurons with single cell spatial resolution. In this article, we aim to review the main results obtained by our group and by our colleagues in applying neuroimaging techniques to study the marmoset brain. © 2016 Wiley Periodicals, Inc. Develop Neurobiol 77: 373-389, 2017.
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Affiliation(s)
- Afonso C Silva
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892
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Grillner S, Ip N, Koch C, Koroshetz W, Okano H, Polachek M, Poo MM, Sejnowski TJ. Worldwide initiatives to advance brain research. Nat Neurosci 2016; 19:1118-22. [PMID: 27571190 PMCID: PMC6047900 DOI: 10.1038/nn.4371] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
To highlight worldwide efforts to fund neuroscience research and address the growing threat of brain disorders, Nature Neuroscience asked leaders of six global brain initiatives to write about their programs.
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Affiliation(s)
- Sten Grillner
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Nancy Ip
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Walter Koroshetz
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan and the Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, Wako, Saitama, Japan
| | | | - Mu-Ming Poo
- Institute of Neuroscience, Chinese Academy of Science, Shanghai, China
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28
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Andres T, Ernst T, Oishi K, Greenstein D, Nakama H, Chang L. Brain Microstructure and Impulsivity Differ between Current and Past Methamphetamine Users. J Neuroimmune Pharmacol 2016; 11:531-41. [PMID: 27137938 DOI: 10.1007/s11481-016-9675-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 04/19/2016] [Indexed: 12/28/2022]
Abstract
Methamphetamine (Meth) use disorder continues to be highly prevalent worldwide. Meth users have higher impulsivity and brain abnormalities that may be different between current and past Meth users. The current study assessed impulsivity and depressive symptoms in 94 participants (27 current Meth users, 32 past Meth users and 35 non-drug user controls). Additionally, brain microstructure was assessed using diffusion tensor imaging (DTI); fractional anisotropy (FA) and mean diffusivity (MD) were assessed in the striatum, and FA, MD, radial and axial diffusivity were quantified in five white matter structures using DtiStudio.Across the three subject groups, current users had the highest self-reported impulsivity scores, while both Meth user groups had larger striatal structures than the controls. Past Meth users had the highest FA and lowest MD in the striatum, which is likely due to greater magnetic susceptibility from higher iron content and greater dendritic spine density. In white matter tracts, current Meth users had higher AD than past users, indicating greater water diffusion along the axons, and suggesting inflammation with axonal swelling. In contrast, past users had the lowest AD, indicating more restricted diffusion, which might have resulted from reactive gliosis. Although current Meth users had greater impulsivity than past users, the brain microstructural abnormalities showed differences that may reflect different stages of neuroinflammation or iron-induced neurodegeneration. Combining current and past Meth users may lead to greater variability in studies of Meth users. Longitudinal studies are needed to further evaluate the relationship between recency of Meth use and brain microstructure.
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Affiliation(s)
- Tamara Andres
- Neuroscience and MR Research Program, John A. Burn School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Thomas Ernst
- Neuroscience and MR Research Program, John A. Burn School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Kenichi Oishi
- Radiology and Radiological Sciences, Johns Hopkins Medicine, Baltimore, MD, USA
| | - David Greenstein
- Neuroscience and MR Research Program, John A. Burn School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Helenna Nakama
- VA Pacific Islands Health Care System, Honolulu, HI, USA
| | - Linda Chang
- Neuroscience and MR Research Program, John A. Burn School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
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Loane C, Politis M, Kefalopoulou Z, Valle-Guzman N, Paul G, Widner H, Foltynie T, Barker RA, Piccini P. Aberrant nigral diffusion in Parkinson's disease: A longitudinal diffusion tensor imaging study. Mov Disord 2016; 31:1020-6. [DOI: 10.1002/mds.26606] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 02/11/2016] [Accepted: 02/12/2016] [Indexed: 11/11/2022] Open
Affiliation(s)
- Clare Loane
- Neurology Imaging Unit, Hammersmith Hospital, Imperial College London; London UK
- Neurodegeneration Imaging Group, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London; London UK
- Memory Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford; Oxford UK
| | - Marios Politis
- Neurology Imaging Unit, Hammersmith Hospital, Imperial College London; London UK
- Neurodegeneration Imaging Group, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London; London UK
| | - Zinovia Kefalopoulou
- Sobell Department of Motor Neuroscience, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, Queen Square; London England
| | - Natalie Valle-Guzman
- John Van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge; Cambridge UK
| | - Gesine Paul
- Translational Neurology Group, Department of Clinical Sciences, Wallenberg Neuroscience Center, Lund University; Lund Sweden
| | - Hakan Widner
- Division of Neurology; Department of Clinical Sciences; Lund University, Skane University Hospital; Sweden
| | - Thomas Foltynie
- Sobell Department of Motor Neuroscience, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, Queen Square; London England
| | - Roger A. Barker
- Department of Clinical Neuroscience; University of Cambridge; Cambridge UK
- MRC Cognition and Brian Sciences Unit; University of Cambridge; Cambridge UK
| | - Paola Piccini
- Neurology Imaging Unit, Hammersmith Hospital, Imperial College London; London UK
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Asakawa T, Fang H, Sugiyama K, Nozaki T, Hong Z, Yang Y, Hua F, Ding G, Chao D, Fenoy AJ, Villarreal SJ, Onoe H, Suzuki K, Mori N, Namba H, Xia Y. Animal behavioral assessments in current research of Parkinson's disease. Neurosci Biobehav Rev 2016; 65:63-94. [PMID: 27026638 DOI: 10.1016/j.neubiorev.2016.03.016] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 03/22/2016] [Accepted: 03/22/2016] [Indexed: 12/21/2022]
Abstract
Parkinson's disease (PD), a neurodegenerative disorder, is traditionally classified as a movement disorder. Patients typically suffer from many motor dysfunctions. Presently, clinicians and scientists recognize that many non-motor symptoms are associated with PD. There is an increasing interest in both motor and non-motor symptoms in clinical studies on PD patients and laboratory research on animal models that imitate the pathophysiologic features and symptoms of PD patients. Therefore, appropriate behavioral assessments are extremely crucial for correctly understanding the mechanisms of PD and accurately evaluating the efficacy and safety of novel therapies. This article systematically reviews the behavioral assessments, for both motor and non-motor symptoms, in various animal models involved in current PD research. We addressed the strengths and weaknesses of these behavioral tests and their appropriate applications. Moreover, we discussed potential mechanisms behind these behavioral tests and cautioned readers against potential experimental bias. Since most of the behavioral assessments currently used for non-motor symptoms are not particularly designed for animals with PD, it is of the utmost importance to greatly improve experimental design and evaluation in PD research with animal models. Indeed, it is essential to develop specific assessments for non-motor symptoms in PD animals based on their characteristics. We concluded with a prospective view for behavioral assessments with real-time assessment with mobile internet and wearable device in future PD research.
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Affiliation(s)
- Tetsuya Asakawa
- Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan; Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.
| | - Huan Fang
- Department of Pharmacy, Jinshan Hospital of Fudan University, Shanghai, China
| | - Kenji Sugiyama
- Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan
| | - Takao Nozaki
- Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan
| | - Zhen Hong
- Department of Neurology, Huashan Hospital of Fudan University, Shanghai, China
| | - Yilin Yang
- The First People's Hospital of Changzhou, Soochow University School of Medicine, Changzhou, China
| | - Fei Hua
- The First People's Hospital of Changzhou, Soochow University School of Medicine, Changzhou, China
| | - Guanghong Ding
- Shanghai Key Laboratory of Acupuncture Mechanism and Acupoint Function, Fudan University, Shanghai, China
| | - Dongman Chao
- Department of Neurosurgery, The University of Texas McGovern Medical School,Houston, TX, USA
| | - Albert J Fenoy
- Department of Neurosurgery, The University of Texas McGovern Medical School,Houston, TX, USA
| | - Sebastian J Villarreal
- Department of Neurosurgery, The University of Texas McGovern Medical School,Houston, TX, USA
| | - Hirotaka Onoe
- Functional Probe Research Laboratory, RIKEN Center for Life Science Technologies, Kobe, Japan
| | - Katsuaki Suzuki
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan
| | - Norio Mori
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan
| | - Hiroki Namba
- Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan
| | - Ying Xia
- Department of Neurosurgery, The University of Texas McGovern Medical School,Houston, TX, USA.
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31
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Okano H, Miyawaki A, Kasai K. Brain/MINDS: brain-mapping project in Japan. Philos Trans R Soc Lond B Biol Sci 2015; 370:rstb.2014.0310. [PMID: 25823872 PMCID: PMC4387516 DOI: 10.1098/rstb.2014.0310] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
There is an emerging interest in brain-mapping projects in countries across the world, including the USA, Europe, Australia and China. In 2014, Japan started a brain-mapping project called Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS). Brain/MINDS aims to map the structure and function of neuronal circuits to ultimately understand the vast complexity of the human brain, and takes advantage of a unique non-human primate animal model, the common marmoset (Callithrix jacchus). In Brain/MINDS, the RIKEN Brain Science Institute acts as a central institute. The objectives of Brain/MINDS can be categorized into the following three major subject areas: (i) structure and functional mapping of a non-human primate brain (the marmoset brain); (ii) development of innovative neurotechnologies for brain mapping; and (iii) human brain mapping; and clinical research. Brain/MINDS researchers are highly motivated to identify the neuronal circuits responsible for the phenotype of neurological and psychiatric disorders, and to understand the development of these devastating disorders through the integration of these three subject areas.
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Affiliation(s)
- Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
| | - Atsushi Miyawaki
- Laboratory for Cell Function Dynamics, Brain Science Institute RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
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32
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Ohno N, Katoh M, Saitoh Y, Saitoh S. Recent advancement in the challenges to connectomics. Microscopy (Oxf) 2015; 65:97-107. [PMID: 26671942 DOI: 10.1093/jmicro/dfv371] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 11/12/2015] [Indexed: 01/23/2023] Open
Abstract
Advancement of microscopic technologies established significant progress in our understanding of the brain. In the recent effort to elucidate the complete wiring map of the brain circuitry termed 'connectome', the different modalities of imaging technology, including those of light and electron microscopy, have started providing essential contribution in multiple organisms. The contribution would be impossible without the recent innovation in both acquisition and analyses of the big connectomic data. The current data demonstrated complicated networks with unidirectional and reciprocal connections of the cerebral circuits at the macroscopic and light microscopic ('mesoscopic') levels, and the unimaginable complexity of synaptic connections between axons and dendrites at the electron microscopic ('microscopic') level. At the same time, the data highlighted the necessity to make substantial advancement in methodology of the connectomic studies, including efficient handling and automated analyses of the acquired dataset. Further understanding about structural and functional connectome seems to be facilitated by combinations of the different imaging modalities. Such multidisciplinary approaches will give us the clues to address whether the complete connectome can elucidate fundamental mechanisms processing the basic and higher functions of human brains.
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Affiliation(s)
- Nobuhiko Ohno
- Department of Anatomy and Molecular Histology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo-city, Yamanashi 409-3898, Japan
| | - Mitsuhiko Katoh
- Department of Anatomy and Molecular Histology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo-city, Yamanashi 409-3898, Japan
| | - Yurika Saitoh
- Department of Anatomy and Molecular Histology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo-city, Yamanashi 409-3898, Japan
| | - Sei Saitoh
- Department of Anatomy and Molecular Histology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo-city, Yamanashi 409-3898, Japan
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Hung CC, Yen CC, Ciuchta JL, Papoti D, Bock NA, Leopold DA, Silva AC. Functional MRI of visual responses in the awake, behaving marmoset. Neuroimage 2015; 120:1-11. [PMID: 26149609 DOI: 10.1016/j.neuroimage.2015.06.090] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 06/09/2015] [Accepted: 06/30/2015] [Indexed: 10/23/2022] Open
Abstract
The visual brain is composed of interconnected subcortical and cortical structures that receive and process image information originating in the retina. The visual system of nonhuman primates, in particular macaques, has been studied in great detail in order to elucidate principles of human sensation and perception. The common marmoset (Callithrix jacchus) is a small New World monkey of growing interest as a primate model for neuroscience. Marmosets have advantages over macaques because of their small size, lissencephalic cortex, and growing potential for viral and genetic manipulations. Previous anatomical studies and electrophysiological recordings in anesthetized marmosets have shown that this species' cortical visual hierarchy closely resembles that of other primates, including humans. Until now, however, there have been no attempts to systematically study visual responses throughout the marmoset brain using fMRI. Here we show that awake marmosets readily learn to carry out a simple visual task inside the bore of an MRI scanner during functional mapping experiments. Functional scanning at 500 μm in-plane resolution in a 30 cm horizontal bore at 7 T revealed robust positive blood oxygenation level-dependent (BOLD) fMRI responses to visual stimuli throughout visual cortex and associated subcortical areas. Nonvisual sensory areas showed negative contrasts to visual stimuli compared to the fixation dot only baseline. Structured images of objects and faces led to stronger responses than scrambled control images at stages beyond early visual cortex. Our study establishes fMRI mapping of visual responses in awake, behaving marmosets as a straightforward and valuable tool for assessing the functional organization of the primate brain at high resolution.
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Affiliation(s)
- Chia-Chun Hung
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA; Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Cecil C Yen
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jennifer L Ciuchta
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Daniel Papoti
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Nicholas A Bock
- Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario, L8S 4K1, Canada
| | - David A Leopold
- Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD, 20892, USA; Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda, MD, 20892, USA
| | - Afonso C Silva
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA.
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34
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Bannon D, Landau AM, Doudet DJ. How Relevant Are Imaging Findings in Animal Models of Movement Disorders to Human Disease? Curr Neurol Neurosci Rep 2015; 15:53. [DOI: 10.1007/s11910-015-0571-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Chao LL, Zhang Y, Buckley S. Effects of low-level sarin and cyclosarin exposure on white matter integrity in Gulf War Veterans. Neurotoxicology 2015; 48:239-48. [PMID: 25929683 DOI: 10.1016/j.neuro.2015.04.005] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Revised: 03/18/2015] [Accepted: 04/20/2015] [Indexed: 12/13/2022]
Abstract
BACKGROUND We previously found evidence of reduced gray and white matter volume in Gulf War (GW) veterans with predicted low-level exposure to sarin (GB) and cyclosarin (GF). Because loss of white matter tissue integrity has been linked to both gray and white matter atrophy, the current study sought to test the hypothesis that GW veterans with predicted GB/GF exposure have evidence of disrupted white matter microstructural integrity. METHODS Measures of fractional anisotropy and directional (i.e., axial and radial) diffusivity were assessed from the 4T diffusion tensor images (DTI) of 59 GW veterans with predicted GB/GF exposure and 59 "matched" unexposed GW veterans (mean age: 48 ± 7 years). The DTI data were analyzed using regions of interest (ROI) analyses that accounted for age, sex, total brain gray and white matter volume, trauma exposure, posttraumatic stress disorder, current major depression, and chronic multisymptom illness status. RESULTS There were no significant group differences in fractional anisotropy or radial diffusivity. However, there was increased axial diffusivity in GW veterans with predicted GB/GF exposure compared to matched, unexposed veterans throughout the brain, including the temporal stem, corona radiata, superior and inferior (hippocampal) cingulum, inferior and superior fronto-occipital fasciculus, internal and external capsule, and superficial cortical white matter blades. Post hoc analysis revealed significant correlations between higher fractional anisotropy and lower radial diffusivity with better neurobehavioral performance in unexposed GW veterans. In contrast, only increased axial diffusivity in posterior limb of the internal capsule was associated with better psychomotor function in GW veterans with predicted GB/GF exposure. CONCLUSIONS The finding that increased axial diffusivity in a region of the brain that contains descending corticospinal fibers was associated with better psychomotor function and the lack of significant neurobehavioral deficits in veterans with predicted GB/GF exposure hint at the possibility that the widespread increases in axial diffusivity that we observed in GW veterans with predicted GB/GF exposure relative to unexposed controls may reflect white matter reorganization after brain injury (i.e., exposure to GB/GF).
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Affiliation(s)
- Linda L Chao
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, 4150 Clement Street, 114M, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; Department of Psychiatry, University of California San Francisco, San Francisco, CA, United States.
| | - Yu Zhang
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, 4150 Clement Street, 114M, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Shannon Buckley
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, 4150 Clement Street, 114M, San Francisco, CA 94121, United States
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