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Scharf C, Koschutnig K, Zussner T, Fink A, Tilp M. Twelve weeks of physical exercise breaks with coordinative exercises at the workplace increase the sulcal depth and decrease gray matter volume in brain structures related to visuomotor processes. Brain Struct Funct 2024; 229:63-74. [PMID: 38070007 PMCID: PMC10827861 DOI: 10.1007/s00429-023-02732-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 11/03/2023] [Indexed: 01/31/2024]
Abstract
Physical exercise can evoke changes in the brain structure. Consequently, these can lead to positive impacts on brain health. However, physical exercise studies including coordinative exercises are rare. Therefore, in this study, we investigated how 12 weeks of physical exercise breaks (PEBs) with coordinative exercises, focusing mainly on juggling tasks, affected the brain structure. The participants were randomly allocated to an intervention group (IG, n = 16; 42.8 ± 10.2 years) and a control group (CG, n = 9; 44.2 ± 12.3 years). The IG performed the PEBs with coordinative exercises twice per week for 15-20 min per session. Before the intervention, after 6 weeks of the intervention, and after 12 weeks of the intervention, participants underwent a high-resolution 3T T1-weighted magnetic resonance imagining scan. Juggling performance was assessed by measuring the time taken to perform a three-ball cascade. A surface-based analysis revealed an increase in vertex-wise cortical depth in a cluster including the inferior parietal lobe after 6 and 12 weeks of training in the IG. After 12 weeks, the IG showed a decrease in gray matter (GM) volume in a cluster primarily involving the right insula and the right operculum. The changes in the GM volume were related to improvements in juggling performance. No significant changes were found for the CG. To conclude, the present study showed that regular engagement in PEBs with coordinative exercises led to changes in brain structures strongly implicated in visuomotor processes involving hand and arm movements.
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Affiliation(s)
- Carina Scharf
- Institute of Human Movement Science, Sport and Health, University of Graz, Mozartgasse 14, 8010, Graz, Austria.
| | - Karl Koschutnig
- Institute of Psychology, University of Graz, Universitätsplatz 2, 8010, Graz, Austria
| | - Thomas Zussner
- Institute of Psychology, University of Graz, Universitätsplatz 2, 8010, Graz, Austria
| | - Andreas Fink
- Institute of Psychology, University of Graz, Universitätsplatz 2, 8010, Graz, Austria
| | - Markus Tilp
- Institute of Human Movement Science, Sport and Health, University of Graz, Mozartgasse 14, 8010, Graz, Austria
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2
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Cannavacciuolo A, Paparella G, Salzillo M, Colella D, Canevelli M, Costa D, Birreci D, Angelini L, Guerra A, Ricciardi L, Bruno G, Berardelli A, Bologna M. Facial emotion expressivity in patients with Parkinson's and Alzheimer's disease. J Neural Transm (Vienna) 2024; 131:31-41. [PMID: 37804428 PMCID: PMC10770202 DOI: 10.1007/s00702-023-02699-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 09/09/2023] [Indexed: 10/09/2023]
Abstract
Parkinson's disease (PD) and Alzheimer's disease (AD) are neurodegenerative disorders with some overlapping clinical features. Hypomimia (reduced facial expressivity) is a prominent sign of PD and it is also present in AD. However, no study has experimentally assessed hypomimia in AD and compared facial expressivity between PD and AD patients. We compared facial emotion expressivity in patients with PD, AD, and healthy controls (HCs). Twenty-four PD patients, 24 AD patients and 24 HCs were videotaped during neutral facial expressions and while posing six facial emotions (anger, surprise, disgust, fear, happiness, and sadness). Fifteen raters were asked to evaluate the videos using MDS-UPDRS-III (item 3.2) and to identify the corresponding emotion from a seven-forced-choice response format. We measured the percentage of accuracy, the reaction time (RT), and the confidence level (CL) in the perceived accuracy of the raters' responses. We found the highest MDS-UPDRS 3.2 scores in PD, and higher in AD than HCs. When evaluating the posed expression captures, raters identified a lower percentage of correct answers in the PD and AD groups than HCs. There was no difference in raters' response accuracy between the PD and AD. No difference was observed in RT and CL data between groups. Hypomimia in patients correlated positively with the global MDS-UPDRS-III and negatively with Mini Mental State Examination scores. PD and AD patients have a similar pattern of reduced facial emotion expressivity compared to controls. These findings hold potential pathophysiological and clinical implications.
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Affiliation(s)
| | - Giulia Paparella
- IRCCS Neuromed Pozzilli (IS), Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Martina Salzillo
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Donato Colella
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Marco Canevelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Davide Costa
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Daniele Birreci
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Luca Angelini
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Andrea Guerra
- Parkinson and Movement Disorder Unit, Study Center on Neurodegeneration (CESNE), Department of Neuroscience, University of Padua, Padua, Italy
| | - Lucia Ricciardi
- St George's, University of London and St George's University Hospitals NHS Foundation Trust, Institute of Molecular and Clinical Sciences, Neurosciences Research Centre, Cranmer Terrace, London, SW17 0QT, UK
| | - Giuseppe Bruno
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Alfredo Berardelli
- IRCCS Neuromed Pozzilli (IS), Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Matteo Bologna
- IRCCS Neuromed Pozzilli (IS), Pozzilli, Italy.
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy.
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3
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Marques A, Macias E, Pereira B, Durand E, Chassain C, Vidal T, Defebvre L, Carriere N, Fraix V, Moro E, Thobois S, Metereau E, Mangone G, Vidailhet M, Corvol JC, Lehéricy S, Menjot de Champfleur N, Geny C, Spampinato U, Meissner WG, Frismand S, Schmitt E, Doé de Maindreville A, Portefaix C, Remy P, Fénelon G, Houeto JL, Colin O, Rascol O, Peran P, Bonny JM, Fantini ML, Durif F. Volumetric changes and clinical trajectories in Parkinson's disease: a prospective multicentric study. J Neurol 2023; 270:6033-6043. [PMID: 37648911 DOI: 10.1007/s00415-023-11947-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/15/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Longitudinal measures of structural brain changes using MRI in relation to clinical features and progression patterns in PD have been assessed in previous studies, but few were conducted in well-defined and large cohorts, including prospective clinical assessments of both motor and non-motor symptoms. OBJECTIVE We aimed to identify brain volumetric changes characterizing PD patients, and determine whether regional brain volumetric characteristics at baseline can predict motor, psycho-behavioral and cognitive evolution at one year in a prospective cohort of PD patients. METHODS In this multicentric 1 year longitudinal study, PD patients and healthy controls from the MPI-R2* cohort were assessed for demographical, clinical and brain volumetric characteristics. Distinct subgroups of PD patients according to motor, cognitive and psycho-behavioral evolution were identified at the end of follow-up. RESULTS One hundred and fifty PD patients and 73 control subjects were included in our analysis. Over one year, there was no significant difference in volume variations between PD and control subjects, regardless of the brain region considered. However, we observed a reduction in posterior cingulate cortex volume at baseline in PD patients with motor deterioration at one year (p = 0.017). We also observed a bilateral reduction of the volume of the amygdala (p = 0.015 and p = 0.041) and hippocampus (p = 0.015 and p = 0.053) at baseline in patients with psycho-behavioral deterioration, regardless of age, dopaminergic treatment and center. CONCLUSION Brain volumetric characteristics at baseline may predict clinical trajectories at 1 year in PD as posterior cingulate cortex atrophy was associated with motor decline, while amygdala and hippocampus atrophy were associated with psycho-behavioral decline.
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Affiliation(s)
- Ana Marques
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France.
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
- Neurology Department, Parkinson Expert Center, CHRU Gabriel Montpied, 63000, Clermont-Ferrand, France.
| | - Elise Macias
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Bruno Pereira
- Clermont-Ferrand University Hospital, Biostatistics Unit (DRCI), Clermont-Ferrand, France
| | - Elodie Durand
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Carine Chassain
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Tiphaine Vidal
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Luc Defebvre
- Department of Movement Disorder and NS-PARK/FCRIN Network, Inserm 1172, University of Lille, Lille, France
| | - Nicolas Carriere
- Department of Movement Disorder and NS-PARK/FCRIN Network, Inserm 1172, University of Lille, Lille, France
| | - Valerie Fraix
- Université Grenoble Alpes, CHU de Grenoble, Service de Neurologie, Grenoble Institute of Neuroscience, and NS-PARK/FCRIN Network, Grenoble, France
| | - Elena Moro
- Université Grenoble Alpes, CHU de Grenoble, Service de Neurologie, Grenoble Institute of Neuroscience, and NS-PARK/FCRIN Network, Grenoble, France
| | - Stéphane Thobois
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France
- Université Claude Bernard, Lyon I, Lyon, France
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C and NS-PARK/FCRIN Network, Lyon, France
| | - Elise Metereau
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France
- Université Claude Bernard, Lyon I, Lyon, France
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C and NS-PARK/FCRIN Network, Lyon, France
| | - Graziella Mangone
- Département de Neurologie and NS-PARK/FCRIN Network, Sorbonne Université; Institut du Cerveau-ICM, Assistance Publique Hôpitaux de Paris; Inserm 1127, CNRS 7225, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Marie Vidailhet
- Département de Neurologie and NS-PARK/FCRIN Network, Sorbonne Université; Institut du Cerveau-ICM, Assistance Publique Hôpitaux de Paris; Inserm 1127, CNRS 7225, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Christophe Corvol
- Département de Neurologie and NS-PARK/FCRIN Network, Sorbonne Université; Institut du Cerveau-ICM, Assistance Publique Hôpitaux de Paris; Inserm 1127, CNRS 7225, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stéphane Lehéricy
- Département de Neuroradiologie and NS-PARK/FCRIN Network, Sorbonne Université; Institut du Cerveau-ICM, Assistance Publique Hôpitaux de Paris; Inserm 1127, CNRS 7225; Hôpital Pitié-Salpêtrière, Paris, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France
| | - Christian Geny
- Department of Geriatrics and NS-PARK/FCRIN Network, Montpellier University Hospital, Montpellier University, Montpellier, France
| | - Umberto Spampinato
- Service de Neurologie-Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, 33000, Bordeaux, France
- INCIA-UMR 5287, Team P3TN, CNRS/Université de Bordeaux, Bordeaux, France
| | - Wassilios G Meissner
- Service de Neurologie-Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, 33000, Bordeaux, France
- Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, 33000, Bordeaux, France
- Dept. Medicine, University of Otago, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Solène Frismand
- Department of Neurology and NS-PARK/FCRIN Network, Nancy University Hospital Center, Nancy, France
| | - Emmanuelle Schmitt
- Department of Neuroradiology, Nancy University Hospital Center, Nancy, France
| | | | - Christophe Portefaix
- Department of Radiology, Hôpital Maison Blanche, Reims, France
- CReSTIC Laboratory, University of Reims Champagne-Ardenne, Reims, France
| | - Philippe Remy
- Centre Expert Parkinson and NS-PARK/FCRIN Network, CHU Henri Mondor; AP-HP et Equipe Neuropsychologie Interventionnelle, INSERM-IMRB, Faculté de Santé, Université Paris-Est Créteil et Ecole Normale Supérieure Paris Sorbonne Université, Créteil, France
| | - Gilles Fénelon
- Centre Expert Parkinson and NS-PARK/FCRIN Network, CHU Henri Mondor; AP-HP et Equipe Neuropsychologie Interventionnelle, INSERM-IMRB, Faculté de Santé, Université Paris-Est Créteil et Ecole Normale Supérieure Paris Sorbonne Université, Créteil, France
| | - Jean Luc Houeto
- INSERM, CHU de Poitiers, Université de Poitiers, Centre d'Investigation Clinique CIC1402; Service de Neurologie and NS-PARK/FCRIN Network, Poitiers, France
- CHU-Centre Expert Parkinson de Limoges, Limoges, France
| | - Olivier Colin
- INSERM, CHU de Poitiers, Université de Poitiers, Centre d'Investigation Clinique CIC1402; Service de Neurologie and NS-PARK/FCRIN Network, CH Brive la Gaillarde, Poitiers, France
| | - Olivier Rascol
- Centre Expert Parkinson, Départements de Pharmacologie Clinique et Neurosciences, Centre d'Investigation Clinique CIC 1436, UMR 1214 TONIC, NeuroToul and NS-PARK/FCRIN Network, INSERM, CHU de Toulouse et Université de Toulouse3, Toulouse, France
| | - Patrice Peran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - Jean-Marie Bonny
- INRAE, UR QuaPA, 63122, Saint-Genès-Champanelle, France
- Nuclear Magnetic Resonance Facility for Agronomy, Food and Health, AgroResonance, INRAE, 2018, Saint-Genès-Champanelle, France
| | - Maria Livia Fantini
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Franck Durif
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, IGCNC, Institute Pascal, Clermont-Ferrand, France
- Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
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4
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Pieperhoff P, Südmeyer M, Dinkelbach L, Hartmann CJ, Ferrea S, Moldovan AS, Minnerop M, Diaz-Pier S, Schnitzler A, Amunts K. Regional changes of brain structure during progression of idiopathic Parkinson’s disease – a longitudinal study using deformation based morphometry. Cortex 2022; 151:188-210. [DOI: 10.1016/j.cortex.2022.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 02/04/2022] [Accepted: 03/12/2022] [Indexed: 12/14/2022]
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Li R, Zou T, Wang X, Wang H, Hu X, Xie F, Meng L, Chen H. Basal ganglia atrophy-associated causal structural network degeneration in Parkinson's disease. Hum Brain Mapp 2022; 43:1145-1156. [PMID: 34792836 PMCID: PMC8764481 DOI: 10.1002/hbm.25715] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/09/2021] [Accepted: 11/02/2021] [Indexed: 01/18/2023] Open
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disease characterized by both motor and non-motor symptoms. A convergent pathophysiological hallmark of PD is an early selective vulnerability within the basal ganglia circuit. However, the causal interactions between basal ganglia atrophy and progressive structural network alterations in PD remain unaddressed. Here, we adopted voxel-based morphometry method to measure gray matter (GM) volume for each participant (n = 84 PD patients and n = 70 matched healthy controls). Patients were first divided into three stages according to the Hoehn and Yahr (H&Y) and the Part III of Unified Parkinson's Disease Rating Scale scores respectively to analyze the stage-specific GM atrophy patterns. Then, the modulation of early caudate atrophy over other brain structures was evaluated using the whole-brain voxel-wise and region-of-interest-wise causal structural covariance network approaches. We found that GM atrophy progressively expands from the basal ganglia to the angular gyrus, temporal areas, and eventually spreads through the subcortical-cortical networks as PD progresses. Notably, we identified a shared caudate-associated degeneration network including the basal ganglia, thalamus, cerebellum, sensorimotor cortex, and cortical association areas with the PD progressive factors. These findings suggest that the early structural vulnerability of basal ganglia in PD may play a pivotal role in the modulation of motor and non-motor circuits at the structural level. Our work provides evidence for a novel mechanism of network degeneration that underlies the pathology of PD and may have potential clinical applications in the development of early predictors of PD onset and progress.
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Affiliation(s)
- Rong Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Ting Zou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Xuyang Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Hongyu Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Xiaofei Hu
- Department of Radiology, Southwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Fangfang Xie
- Department of Radiology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Li Meng
- Department of Radiology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- Department of Radiology, Southwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
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6
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Zhu D, He B, Zhang M, Wan Y, Liu R, Wang L, Zhang Y, Li Y, Gao F. A Multimodal MR Imaging Study of the Effect of Hippocampal Damage on Affective and Cognitive Functions in a Rat Model of Chronic Exposure to a Plateau Environment. Neurochem Res 2022; 47:979-1000. [PMID: 34981302 PMCID: PMC8891211 DOI: 10.1007/s11064-021-03498-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 11/18/2021] [Accepted: 11/23/2021] [Indexed: 02/05/2023]
Abstract
Prolonged exposure to high altitudes above 2500 m above sea level (a.s.l.) can cause cognitive and behavioral dysfunctions. Herein, we sought to investigate the effects of chronic exposure to plateau hypoxia on the hippocampus in a rat model by using voxel-based morphometry, creatine chemical exchange saturation transfer (CrCEST) and dynamic contrast-enhanced MR imaging techniques. 58 healthy 4-week-old male rats were randomized into plateau hypoxia rats (H group) as the experimental group and plain rats (P group) as the control group. H group rats were transported from Chengdu (500 m a.s.l.), a city in a plateau located in southwestern China, to the Qinghai-Tibet Plateau (4250 m a.s.l.), Yushu, China, and then fed for 8 months there, while P group rats were fed in Chengdu (500 m a.s.l.), China. After 8 months of exposure to plateau hypoxia, open-field and elevated plus maze tests revealed that the anxiety-like behavior of the H group rats was more serious than that of the P group rats, and the Morris water maze test revealed impaired spatial memory function in the H group rats. Multimodal MR imaging analysis revealed a decreased volume of the regional gray matter, lower CrCEST contrast and higher transport coefficient Ktrans in the hippocampus compared with the P group rats. Further correlation analysis found associations of quantitative MRI parameters of the hippocampus with the behavioral performance of H group rats. In this study, we validated the viability of using noninvasive multimodal MR imaging techniques to evaluate the effects of chronic exposure to a plateau hypoxic environment on the hippocampus.
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Affiliation(s)
- Dongyong Zhu
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, China
| | - Bo He
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, China
| | - Mengdi Zhang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, China
| | - Yixuan Wan
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, China
| | - Ruibin Liu
- Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310030, China
| | - Lei Wang
- Molecular Imaging Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yi Zhang
- Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310030, China
| | - Yunqing Li
- Department of Anatomy and KK Leung Brain Research Centre, The Fourth Military Medical University, Xi'an, 710032, China
| | - Fabao Gao
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, China. .,Molecular Imaging Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
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7
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Tan B, Shishegar R, Poudel GR, Fornito A, Georgiou-Karistianis N. Cortical morphometry and neural dysfunction in Huntington's disease: a review. Eur J Neurol 2020; 28:1406-1419. [PMID: 33210786 DOI: 10.1111/ene.14648] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/22/2020] [Accepted: 11/12/2020] [Indexed: 01/09/2023]
Abstract
Numerous neuroimaging techniques have been used to identify biomarkers of disease progression in Huntington's disease (HD). To date, the earliest and most sensitive of these is caudate volume; however, it is becoming increasingly evident that numerous changes to cortical structures, and their interconnected networks, occur throughout the course of the disease. The mechanisms by which atrophy spreads from the caudate to these cortical regions remains unknown. In this review, the neuroimaging literature specific to T1-weighted and diffusion-weighted magnetic resonance imaging is summarized and new strategies for the investigation of cortical morphometry and the network spread of degeneration in HD are proposed. This new avenue of research may enable further characterization of disease pathology and could add to a suite of biomarker/s of disease progression for patient stratification that will help guide future clinical trials.
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Affiliation(s)
- Brendan Tan
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Rosita Shishegar
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.,Australian e-Health Research Centre, CSIRO, Melbourne, VIC, Australia.,Monash Biomedical Imaging, Melbourne, VIC, Australia
| | - Govinda R Poudel
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.,Sydney Imaging, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Australian Catholic University, Melbourne, VIC, Australia
| | - Alex Fornito
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.,Monash Biomedical Imaging, Melbourne, VIC, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
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8
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Structural brain changes in Ser129-phosphorylated alpha-synuclein rats based on voxel-based morphometry. Behav Brain Res 2020; 393:112786. [PMID: 32592738 DOI: 10.1016/j.bbr.2020.112786] [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: 03/01/2020] [Revised: 05/07/2020] [Accepted: 06/21/2020] [Indexed: 11/22/2022]
Abstract
Parkinson's disease has become one of the most common neurodegenerative diseases. Pathological changes typically manifest following dopaminergic neuron loss in the substantia nigra and abnormal alpha-synuclein (α-syn) aggregation in the neurons. α-Syn is the major component of Lewy bodies. However, research pertaining to the spread of abnormal α-syn aggregations, which results in specific damage to the brain structure and function, is lacking. In the present study, full-length human α-syn fibrils were injected into the medial forebrain bundle of rats, with an experimental endpoint of 6 months. Histological analysis was conducted to observe the pathological progress of abnormal endogenous α-syn aggregation and nerve fiber quality. Changes in gray and white matter integrity were quantitatively analyzed using voxel-based morphometry (VBM). Behavioral changes were observed over the 6-month period. Histological analysis showed reduced dopamine transporter levels in the striatum of the experimental rats; widespread abnormal endogenous α-syn accumulation; and damaged, sparse, and disordered nerve fibers in the experimental group. VBM showed that at 6 months after surgery, bilateral anterior limbic, bilateral inferior limbic, right hippocampal, and right cortical volumes had reduced, whereas thalamic volume had increased in the experimental group compared with that in the control group. Damage to the limbic and thalamic fiber structure may occur in the earlier stages of Parkinson's disease.
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Filippi M, Sarasso E, Piramide N, Stojkovic T, Stankovic I, Basaia S, Fontana A, Tomic A, Markovic V, Stefanova E, Kostic VS, Agosta F. Progressive brain atrophy and clinical evolution in Parkinson's disease. NEUROIMAGE-CLINICAL 2020; 28:102374. [PMID: 32805678 PMCID: PMC7453060 DOI: 10.1016/j.nicl.2020.102374] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/08/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023]
Abstract
Cortical and subcortical atrophy is accelerated early after the onset of PD. Brain atrophy in PD progressed with cognitive, non-motor and mood deficits. Structural MRI may be useful for predicting disease progression in PD.
Clinical manifestations and evolution are very heterogeneous among individuals with Parkinson’s disease (PD). The aims of this study were to investigate the pattern of progressive brain atrophy in PD according to disease stage and to elucidate to what extent cortical thinning and subcortical atrophy are related to clinical motor and non-motor evolution. 154 patients at different PD stages were assessed over time using motor, non-motor and structural MRI evaluations for a maximum of 4 years. Cluster analysis defined clinical subtypes. Cortical thinning and subcortical atrophy were assessed at baseline in patients relative to 60 healthy controls. Longitudinal trends of brain atrophy progression were compared between PD clusters. The contribution of brain atrophy in predicting motor, non-motor, cognitive and mood deterioration was explored. Two main PD clusters were defined: mild (N = 87) and moderate-to-severe (N = 67). Two mild subtypes were further identified: mild motor-predominant (N = 43) and mild-diffuse (N = 44), with the latter group being older and having more severe non-motor and cognitive symptoms. The initial pattern of brain atrophy was more severe in patients with moderate-to-severe PD. Over time, mild-diffuse PD patients had the greatest brain atrophy accumulation in the cortex and the left hippocampus, while less distributed atrophy progression was observed in moderate-to-severe and mild motor-predominant patients. Baseline and 1-year cortical thinning was associated with long-term progression of motor, cognitive, non-motor and mood symptoms. Cortical and subcortical atrophy is accelerated early after the onset of PD and becomes prominent in later stages of disease according to the development of cognitive, non-motor and mood dysfunctions. Structural MRI may be useful for monitoring and predicting disease progression in PD.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology and Neurophysiology Units, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Noemi Piramide
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Tanja Stojkovic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Iva Stankovic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Silvia Basaia
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Fontana
- Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Aleksandra Tomic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vladana Markovic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Elka Stefanova
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vladimir S Kostic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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10
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Cheng KL, Lin LH, Chen PC, Chiang PL, Chen YS, Chen HL, Chen MH, Chou KH, Li SH, Lu CH, Lin WC. Reduced Gray Matter Volume and Risk of Falls in Parkinson's Disease with Dementia Patients: A Voxel-Based Morphometry Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155374. [PMID: 32722623 PMCID: PMC7432132 DOI: 10.3390/ijerph17155374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 01/10/2023]
Abstract
Purpose: Risk of falls is a common sequela affecting patients with Parkinson’s disease (PD). Although motor impairment and dementia are correlated with falls, associations of brain structure and cognition deficits with falls remain unclear. Material and Methods: Thirty-five PD patients with dementia (PDD), and 37 age- and sex-matched healthy subjects were recruited for this study. All participants received structural magnetic resonance imaging (MRI) scans, and disease severity and cognitive evaluations. Additionally, patient fall history was recorded. Regional structural differences between PDD with and without fall groups were performed using voxel-based morphometry processing. Stepwise logistic regression analysis was used to predict the fall risk in PDD patients. Results: The results revealed that 48% of PDD patients experienced falls. Significantly lower gray matter volume (GMV) in the left calcarine and right inferior frontal gyrus in PDD patients with fall compared to PDD patients without fall were noted. The PDD patients with fall exhibited worse UPDRS-II scores compared to PDD patients without fall and were negatively correlated with lower GMV in the left calcarine (p/r = 0.004/−0.492). Furthermore, lower GMV in the left calcarine and right inferior frontal gyrus correlated with poor attention and executive functional test scores. Multiple logistic regression analysis showed that the left calcarine was the only variable (p = 0.004, 95% CI = 0.00–0.00) negatively associated with the fall event. Conclusions: PDD patients exhibiting impaired motor function, lower GMV in the left calcarine and right inferior frontal gyrus, and notable cognitive deficits may have increased risk of falls.
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Affiliation(s)
- Kai-Lun Cheng
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung 402, Taiwan;
- School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Veterinary Medicine, National Chung Hsing University, Taichung 402, Taiwan
| | - Li-Han Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
| | - Po-Cheng Chen
- Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan;
| | - Pi-Ling Chiang
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
| | - Yueh-Sheng Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
| | - Hsiu-Ling Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
| | - Kun-Hsien Chou
- Brain Research Center, National Yang-Ming University, Taipei 112, Taiwan;
- Institute of Neuroscience, National Yang-Ming University, Taipei 112, Taiwan
| | - Shau-Hsuan Li
- Department of Oncology and Hematology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan;
| | - Cheng-Hsien Lu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan;
| | - Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan; (L.-H.L.); (P.-L.C.); (Y.-S.C.); (H.-L.C.); (M.-H.C.)
- Correspondence: ; Tel.: +886-7-731-7123
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11
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Sarasso E, Agosta F, Piramide N, Filippi M. Progression of grey and white matter brain damage in Parkinson's disease: a critical review of structural MRI literature. J Neurol 2020; 268:3144-3179. [PMID: 32378035 DOI: 10.1007/s00415-020-09863-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 04/23/2020] [Indexed: 10/24/2022]
Abstract
The current review summarizes the current knowledge on longitudinal cortical and subcortical grey and white matter MRI findings assessed using T1-weighted and one-tensor diffusion-weighted MRI in Parkinson's disease (PD) patients. Results were reviewed according to disease duration, disease severity and cognitive impairment. The most consistent findings are those showing a progressive cortical atrophy accumulation in caudate, putamen, temporal/hippocampal, frontal and parietal areas in de novo PD cases and in the early/middle phase of the disease, with the achievement of a plateau in the later stage. Analyzing results according to the patient cognitive status, only a few studies used longitudinal MRI metrics to predict mild cognitive impairment or dementia conversion in PD patients, suggesting that atrophy of the hippocampus, fronto-temporal areas, caudate, thalamus and accumbens might play a role in this process. Stratifying patients according to disease severity, findings appear partially controversial, although showing a progressive atrophy of basal ganglia over 1 year of follow up and a widespread cortical thinning over 3-6 years in mild to moderate PD patients. Finally, microstructural damage of the main motor and associative WM tracts seems to be present, and rapidly progress, even in the early phase of PD. The utility of structural MRI metrics as biomarkers of PD progression and their role in improving the accuracy of disease progression prediction is still debated.
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Affiliation(s)
- Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Laboratory of Movement Analysis, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Noemi Piramide
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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12
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Arribarat G, Péran P. Quantitative MRI markers in Parkinson's disease and parkinsonian syndromes. Curr Opin Neurol 2020; 33:222-229. [DOI: 10.1097/wco.0000000000000796] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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13
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Graph theory and network topological metrics may be the potential biomarker in Parkinson’s disease. J Clin Neurosci 2019; 68:235-242. [DOI: 10.1016/j.jocn.2019.07.082] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 06/20/2019] [Accepted: 07/29/2019] [Indexed: 01/05/2023]
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14
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Progression of Parkinson's disease patients' subtypes based on cortical thinning: 4-year follow-up. Parkinsonism Relat Disord 2019; 64:286-292. [DOI: 10.1016/j.parkreldis.2019.05.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/08/2019] [Accepted: 05/08/2019] [Indexed: 01/01/2023]
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15
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Weil RS, Winston JS, Leyland L, Pappa K, Mahmood RB, Morris HR, Rees G. Neural correlates of early cognitive dysfunction in Parkinson's disease. Ann Clin Transl Neurol 2019; 6:902-912. [PMID: 31139688 PMCID: PMC6529983 DOI: 10.1002/acn3.767] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/05/2019] [Accepted: 03/06/2019] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Dementia is a common and feared aspect of Parkinson's disease but there are no robust predictors of cognitive outcome. Visuoperceptual deficits are linked to risk of dementia in Parkinson's disease but whether they predict cognitive change is not known, and the neural substrates of visuoperceptual dysfunction in Parkinson's have not yet been identified. METHODS We compared patients with Parkinson's disease and unaffected controls who underwent BOLD fMRI while performing our previously validated visuoperceptual task and tested how functional connectivity between task-specific regions and the rest of the brain differed between patients who performed well and poorly in the task. RESULTS We show that task performance at baseline predicts change in cognition in Parkinson's disease after 1 year. Our task-based fMRI study showed that the performance in this task is associated with activity in the posterior cingulate cortex/precuneus. We found that functional connectivity between this region and dorsomedial prefrontal cortex was reduced in poor performers compared with good performers of this task. INTERPRETATION Our findings suggest that functional connectivity is reduced between posterior and anterior hubs of the default mode network in Parkinson's patients who are likely to progress to worsening cognitive dysfunction. Our work implicates posterior default mode nodes and their connections as key brain regions in early stages of dementia in Parkinson's disease.
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Affiliation(s)
- Rimona S. Weil
- Dementia Research CentreUCLLondonUnited Kingdom,Wellcome Centre for Human NeuroimagingUCLLondonUnited Kingdom
| | - Joel S. Winston
- Wellcome Centre for Human NeuroimagingUCLLondonUnited Kingdom,National Hospital for Neurology and NeurosurgeryLondonUnited Kingdom
| | | | - Katerina Pappa
- Institute of Cognitive NeuroscienceUCLLondonUnited Kingdom
| | | | - Huw R. Morris
- Department of Clinical and Motor NeuroscienceUCL Queen Square Institute of NeurologyLondonUnited Kingdom,Movement Disorders CentreUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Geraint Rees
- Wellcome Centre for Human NeuroimagingUCLLondonUnited Kingdom,Institute of Cognitive NeuroscienceUCLLondonUnited Kingdom
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16
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Prell T, Witte OW, Grosskreutz J. Biomarkers for Dementia, Fatigue, and Depression in Parkinson's Disease. Front Neurol 2019; 10:195. [PMID: 30906277 PMCID: PMC6418014 DOI: 10.3389/fneur.2019.00195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/15/2019] [Indexed: 12/26/2022] Open
Abstract
Parkinson's disease is a common multisystem neurodegenerative disorder characterized by typical motor and non-motor symptoms. There is an urgent need for biomarkers for assessment of disease severity, complications and prognosis. In addition, biomarkers reporting the underlying pathophysiology assist in understanding the disease and developing neuroprotective therapies. Ultimately, biomarkers could be used to develop a more efficient personalized approach for clinical trials and treatment strategies. With the goal to improve quality of life in Parkinson's disease it is essential to understand and objectively monitor non-motor symptoms. This narrative review provides an overview of recent developments of biomarkers (biofluid samples and imaging) for three common neuropsychological syndromes in Parkinson's disease: dementia, fatigue, and depression.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Julian Grosskreutz
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
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17
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Pal P, Naduthota R, Lenka A, George L, Jhunjhunwala K, Saini J, Bharath R, Christopher R, Yadav R, Gupta A. Gray matter correlates of progression of motor symptoms in patients with Parkinson’s disease. ANNALS OF MOVEMENT DISORDERS 2019. [DOI: 10.4103/aomd.aomd_8_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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18
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Raposo Rodríguez L, Tovar Salazar DJ, Fernández García N, Pastor Hernández L, Fernández Guinea Ó. Magnetic resonance imaging in dementia. RADIOLOGIA 2018; 60:476-484. [PMID: 29903629 DOI: 10.1016/j.rx.2018.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 03/11/2018] [Accepted: 04/25/2018] [Indexed: 10/14/2022]
Abstract
OBJECTIVE To describe and illustrate the key findings on structural magnetic resonance imaging (MRI) in the most common dementias of neurodegenerative origin: Alzheimer's disease, vascular dementia, dementia with Lewy bodies, variants of frontotemporal dementia, progressive supranuclear palsy, variants of multiple system atrophy, Parkinson dementia, and corticobasal degeneration. CONCLUSION Today the role of MRI is no longer limited to ruling out underlying causes of cognitive deterioration. MRI can show patterns of atrophy with a predictive value for certain dementias which, although not specific or unique to each disease, can help to confirm diagnostic suspicion or to identify certain processes. For this reason, it is important for radiologists to know the characteristic findings of the most common dementias.
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19
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Raposo Rodríguez L, Tovar Salazar D, Fernández García N, Pastor Hernández L, Fernández Guinea Ó. Magnetic resonance imaging in dementia. RADIOLOGIA 2018. [DOI: 10.1016/j.rxeng.2018.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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20
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Abstract
The past decade has seen tremendous efforts in biomarker discovery and validation for neurodegenerative diseases. The source and type of biomarkers has continued to grow for central nervous system diseases, from biofluid-based biomarkers (blood or cerebrospinal fluid (CSF)), to nucleic acids, tissue, and imaging. While DNA remains a predominant biomarker used to identify familial forms of neurodegenerative diseases, various types of RNA have more recently been linked to familial and sporadic forms of neurodegenerative diseases during the past few years. Imaging approaches continue to evolve and are making major contributions to target engagement and early diagnostic biomarkers. Incorporation of biomarkers into drug development and clinical trials for neurodegenerative diseases promises to aid in the development and demonstration of target engagement and drug efficacy for neurologic disorders. This review will focus on recent advancements in developing biomarkers for clinical utility in Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS).
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Affiliation(s)
| | - Robert Bowser
- Iron Horse Diagnostics, Inc., Scottsdale, AZ, 85255, USA.
- Divisions of Neurology and Neurobiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, 350 W Thomas Rd, Phoenix, AZ, 85013, USA.
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21
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De Micco R, Russo A, Tessitore A. Structural MRI in Idiopathic Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 141:405-438. [PMID: 30314605 DOI: 10.1016/bs.irn.2018.08.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
Among modern neuroimaging modalities, magnetic resonance imaging (MRI) is a widely available, non-invasive, and cost-effective method to detect structural and functional abnormalities related to neurodegenerative disorders. In the last decades, MRI have been widely implemented to support PD diagnosis as well as to provide further insights into motor and non-motor symptoms pathophysiology, complications and treatment-related effects. Different aspects of the brain morphology and function may be derived from a single scan, by applying different analytic approaches. Biomarkers of neurodegeneration as well as tissue microstructural changes may be extracted from structural MRI techniques. In this chapter, we analyze the role of structural imaging to differentiate PD patients from controls and to define neural substrates of motor and non-motor PD symptoms. Evidence collected in the premotor PD phase will be also critically discussed. White matter as well as gray matter integrity imaging studies has been reviewed, aiming to highlight points of strength and limits to their potential application in clinical settings.
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Affiliation(s)
- Rosa De Micco
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Antonio Russo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy; MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Napoli, Italy.
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22
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Pozorski V, Oh JM, Adluru N, Merluzzi AP, Theisen F, Okonkwo O, Barzgari A, Krislov S, Sojkova J, Bendlin BB, Johnson SC, Alexander AL, Gallagher CL. Longitudinal white matter microstructural change in Parkinson's disease. Hum Brain Mapp 2018; 39:4150-4161. [PMID: 29952102 DOI: 10.1002/hbm.24239] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 05/06/2018] [Accepted: 05/22/2018] [Indexed: 01/06/2023] Open
Abstract
Postmortem studies of Parkinson's disease (PD) suggest that Lewy body pathology accumulates in a predictable topographical sequence, beginning in the olfactory bulb, followed by caudal brainstem, substantia nigra, limbic cortex, and neocortex. Diffusion-weighted imaging (DWI) is sensitive, if not specific, to early disease-related white matter (WM) change in a variety of traumatic and degenerative brain diseases. Although numerous cross-sectional studies have reported DWI differences in cerebral WM in PD, only a few longitudinal studies have investigated whether DWI change exceeds that of normal aging or coincides with regional Lewy body accumulation. This study mapped regional differences in the rate of DWI-based microstructural change between 29 PD patients and 43 age-matched controls over 18 months. Iterative within- and between-subject tensor-based registration was completed on motion- and eddy current-corrected DWI images, then baseline versus follow-up difference maps of fractional anisotropy, mean, radial, and axial diffusivity were analyzed in the Biological Parametric Mapping toolbox for MATLAB. This analysis showed that PD patients had a greater decline in WM integrity in the rostral brainstem, caudal subcortical WM, and cerebellar peduncles, compared with controls. In addition, patients with unilateral clinical signs at baseline experienced a greater rate of WM change over the 18-month study than patients with bilateral signs. These findings suggest that rate of WM microstructural change in PD exceeds that of normal aging and is maximal during early stage disease. In addition, the neuroanatomic locations (rostral brainstem and subcortical WM) of accelerated WM change fit with current theories of topographic disease progression.
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Affiliation(s)
- Vincent Pozorski
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jennifer M Oh
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Andrew P Merluzzi
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Frances Theisen
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Ozioma Okonkwo
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Amy Barzgari
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Stephanie Krislov
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jitka Sojkova
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Barbara B Bendlin
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sterling C Johnson
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Andrew L Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin.,Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Catherine L Gallagher
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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23
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Neurorehabilitation in Parkinson's Disease: A Critical Review of Cognitive Rehabilitation Effects on Cognition and Brain. Neural Plast 2018; 2018:2651918. [PMID: 29853840 PMCID: PMC5960507 DOI: 10.1155/2018/2651918] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 03/29/2018] [Indexed: 01/01/2023] Open
Abstract
Background Parkinson's disease (PD) patients experience cognitive impairment which has been related to reduced quality of life and functional disability. These symptoms usually progress until dementia occurs. Some studies have been published assessing the efficacy of cognitive treatments on improving cognition, functional outcome, and producing changes in brain activity. Objective A critical review was performed to present up-to-date neurorehabilitation effects of cognitive rehabilitation in PD, with special emphasis on the efficacy on cognition, quality of life aspects, brain changes, and the longitudinal maintenance of these changes. Results After exclusions, 13 studies were reviewed, including 6 randomized controlled trials for the efficacy on cognition, 2 randomized controlled trials regarding the brain changes after cognitive training, and 5 studies which evaluated the long-term effects of cognitive treatments. Conclusions Cognitive rehabilitation programs have demonstrated to be effective on improving cognitive functions, but more research is needed focusing on the efficacy on improving behavioral aspects and producing brain changes in patients with PD. Moreover, there is a need of randomized controlled trials with long-term follow-up periods.
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Argaud S, Vérin M, Sauleau P, Grandjean D. Facial emotion recognition in Parkinson's disease: A review and new hypotheses. Mov Disord 2018; 33:554-567. [PMID: 29473661 PMCID: PMC5900878 DOI: 10.1002/mds.27305] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 02/02/2023] Open
Abstract
Parkinson's disease is a neurodegenerative disorder classically characterized by motor symptoms. Among them, hypomimia affects facial expressiveness and social communication and has a highly negative impact on patients' and relatives' quality of life. Patients also frequently experience nonmotor symptoms, including emotional-processing impairments, leading to difficulty in recognizing emotions from faces. Aside from its theoretical importance, understanding the disruption of facial emotion recognition in PD is crucial for improving quality of life for both patients and caregivers, as this impairment is associated with heightened interpersonal difficulties. However, studies assessing abilities in recognizing facial emotions in PD still report contradictory outcomes. The origins of this inconsistency are unclear, and several questions (regarding the role of dopamine replacement therapy or the possible consequences of hypomimia) remain unanswered. We therefore undertook a fresh review of relevant articles focusing on facial emotion recognition in PD to deepen current understanding of this nonmotor feature, exploring multiple significant potential confounding factors, both clinical and methodological, and discussing probable pathophysiological mechanisms. This led us to examine recent proposals about the role of basal ganglia-based circuits in emotion and to consider the involvement of facial mimicry in this deficit from the perspective of embodied simulation theory. We believe our findings will inform clinical practice and increase fundamental knowledge, particularly in relation to potential embodied emotion impairment in PD. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Soizic Argaud
- Behavior and Basal Ganglia Research Unit (EA4712)University of Rennes 1RennesFrance
- Neuroscience of Emotion and Affective Dynamics laboratory, Department of Psychology and Educational SciencesUniversity of GenevaGenevaSwitzerland
| | - Marc Vérin
- Behavior and Basal Ganglia Research Unit (EA4712)University of Rennes 1RennesFrance
- Department of NeurologyRennes University HospitalRennesFrance
| | - Paul Sauleau
- Behavior and Basal Ganglia Research Unit (EA4712)University of Rennes 1RennesFrance
- Department of NeurophysiologyRennes University HospitalRennesFrance
| | - Didier Grandjean
- Neuroscience of Emotion and Affective Dynamics laboratory, Department of Psychology and Educational SciencesUniversity of GenevaGenevaSwitzerland
- Swiss Center for Affective SciencesCampus BiotechGenevaSwitzerland
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Péran P, Nemmi F, Barbagallo G. Brain Morphometry: Parkinson’s Disease. NEUROMETHODS 2018:267-277. [DOI: 10.1007/978-1-4939-7647-8_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Díez‐Cirarda M, Ojeda N, Peña J, Cabrera‐Zubizarreta A, Lucas‐Jiménez O, Gómez‐Esteban JC, Gómez‐Beldarrain MÁ, Ibarretxe‐Bilbao N. Long-term effects of cognitive rehabilitation on brain, functional outcome and cognition in Parkinson's disease. Eur J Neurol 2018; 25:5-12. [PMID: 28940855 PMCID: PMC5765471 DOI: 10.1111/ene.13472] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 09/20/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Cognitive rehabilitation has demonstrated efficacy in producing short-term cognitive and brain changes in patients with Parkinson's disease (PD). To date, no study has assessed the long-term effects of cognitive rehabilitation using neuroimaging techniques in PD. The aim was to assess the longitudinal effects of a 3-month cognitive rehabilitation programme evaluating the cognitive, behavioural and neuroimaging changes after 18 months. METHODS Fifteen patients with PD underwent a cognitive, behavioural and neuroimaging assessment at pre-treatment (T0 ), post-treatment (T1 ) and after 18 months (T2 ). This study examined the long-term effects (from T0 to T2 ) and the maintenance of the changes (from T1 to T2 ). T1-weighted, diffusion-weighted, functional magnetic resonance imaging during both a resting-state and a memory paradigm were acquired. Voxel-based morphometry and tract-based spatial statistics were used for grey and white matter analyses. A region-of-interest-to-region-of-interest approach was used for resting-state functional connectivity (FC) and a model-based approach was used for brain activation during the memory paradigm. RESULTS Patients with PD showed increased cognitive performance, decreased functional disability, increased brain FC and activation at T2 compared with T0 (P < 0.05, FDR). Moreover, patients showed maintenance of the improvements in cognition and functionality, and maintenance of the increased brain FC and activation at T2 compared with T1 . However, significant grey matter reduction and alterations of white matter integrity were found at T2 (P < 0.05, FWE). CONCLUSIONS Findings suggest that the improved cognitive performance and increased brain FC and activation after cognitive rehabilitation were significantly maintained after 18 months in patients with PD, despite the structural brain changes, consistent with a progression of neurodegenerative processes.
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Affiliation(s)
- M. Díez‐Cirarda
- Department of Methods and Experimental PsychologyFaculty of Psychology and EducationUniversity of DeustoBilbaoBiscaySpain
| | - N. Ojeda
- Department of Methods and Experimental PsychologyFaculty of Psychology and EducationUniversity of DeustoBilbaoBiscaySpain
| | - J. Peña
- Department of Methods and Experimental PsychologyFaculty of Psychology and EducationUniversity of DeustoBilbaoBiscaySpain
| | | | - O. Lucas‐Jiménez
- Department of Methods and Experimental PsychologyFaculty of Psychology and EducationUniversity of DeustoBilbaoBiscaySpain
| | - J. C. Gómez‐Esteban
- Neurodegenerative UnitBiocruces Research InstituteNeurology ServiceCruces University HospitalBarakaldoBiscaySpain
| | | | - N. Ibarretxe‐Bilbao
- Department of Methods and Experimental PsychologyFaculty of Psychology and EducationUniversity of DeustoBilbaoBiscaySpain
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Sun TK, Chen YY, Huang SH, Hsu SW, Lee CC, Chang WN, Huang CW, Lui CC, Lien CY, Cheng JL, Chang CC. Neurotoxicity of carbon monoxide targets caudate-mediated dopaminergic system. Neurotoxicology 2017; 65:272-279. [PMID: 29173994 DOI: 10.1016/j.neuro.2017.11.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 10/30/2017] [Accepted: 11/20/2017] [Indexed: 11/19/2022]
Abstract
The clinical features of parkinsonism in carbon monoxide (CO) intoxication have been associated with striatal-related neuronal networks. As parkinsonian and neuropsychiatric features are both related to presynaptic dopaminergic integrity, the aim of this study was to explore the clinical significance of 99mTcTRODAT-1 in grading neurobehavioral scores and parkinsonian severity in CO intoxication. We enrolled 64 patients with CO intoxication, including 29 with parkinsonism (parkinsonism[+] group) and 35 without (parkinsonism[-] group). All of the patients received 99mTcTRODAT-1 neuroimaging evaluations, comprehensive neurobehavioral tests and assessments of the severity of parkinsonism using Unified Parkinson's Disease Rating Scale (UPDRS)-part III motor score. Univariate and multivariate regression analyses were used to test the predictive factors and scores for a diagnosis of parkinsonism and its severity. The parkinsonism(+) group had significantly lower cognitive scores and higher neuropsychiatric total scores compared with the parkinsonism(-) group, both of which were independently related to the severity of parkinsonism. 99mTcTRODAT-1 regional caudate signals were correlated with tremors at rest, action or postural tremors of the hands, bradykinesia and hypokinesia, and visuospatial, verbal fluency, abstract thinking and digit backwards scores. Scores of the neurobehavioral tests and UPDRS items were highly correlated (p<0.01). Our results validated the initial hypothesis in that neurobehavioral deficits and parkinsonian symptoms were highly related. This association was independent of demographic factors and initial carboxyhemoglobin level. Within the presynaptic dopaminergic circuit, the clinical role of the caudate in mediating the clinical symptoms in CO intoxication may outweigh the putamen.
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Affiliation(s)
- Tzu-Kuan Sun
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Yen-Yu Chen
- Departments of Thoracic & Cardiovascular Surgery Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Shih-Wei Hsu
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Chen-Chang Lee
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Wen-Neng Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Chi-Wei Huang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Chun-Chung Lui
- Division of medical imaging, E-Da Cancer Hospital and I-Shou University, Kaohsiung, Taiwan.
| | - Chia-Yi Lien
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Ju-Ling Cheng
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - Chiung-Chih Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
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Changes of brain structure in Parkinson’s disease patients with mild cognitive impairment analyzed via VBM technology. Neurosci Lett 2017; 658:121-132. [DOI: 10.1016/j.neulet.2017.08.028] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 08/08/2017] [Accepted: 08/11/2017] [Indexed: 12/30/2022]
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Peng B, Wang S, Zhou Z, Liu Y, Tong B, Zhang T, Dai Y. A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson's disease. Neurosci Lett 2017; 651:88-94. [PMID: 28435046 DOI: 10.1016/j.neulet.2017.04.034] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 04/07/2017] [Accepted: 04/18/2017] [Indexed: 11/16/2022]
Abstract
Machine learning methods have been widely used in recent years for detection of neuroimaging biomarkers in regions of interest (ROIs) and assisting diagnosis of neurodegenerative diseases. The innovation of this study is to use multilevel-ROI-features-based machine learning method to detect sensitive morphometric biomarkers in Parkinson's disease (PD). Specifically, the low-level ROI features (gray matter volume, cortical thickness, etc.) and high-level correlative features (connectivity between ROIs) are integrated to construct the multilevel ROI features. Filter- and wrapper- based feature selection method and multi-kernel support vector machine (SVM) are used in the classification algorithm. T1-weighted brain magnetic resonance (MR) images of 69 PD patients and 103 normal controls from the Parkinson's Progression Markers Initiative (PPMI) dataset are included in the study. The machine learning method performs well in classification between PD patients and normal controls with an accuracy of 85.78%, a specificity of 87.79%, and a sensitivity of 87.64%. The most sensitive biomarkers between PD patients and normal controls are mainly distributed in frontal lobe, parental lobe, limbic lobe, temporal lobe, and central region. The classification performance of our method with multilevel ROI features is significantly improved comparing with other classification methods using single-level features. The proposed method shows promising identification ability for detecting morphometric biomarkers in PD, thus confirming the potentiality of our method in assisting diagnosis of the disease.
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Affiliation(s)
- Bo Peng
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China; University of Chinese Academy of Sciences, Beijing 100049, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
| | - Suhong Wang
- Department of Neuroscience, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China
| | - Zhiyong Zhou
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Yan Liu
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Baotong Tong
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Tao Zhang
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
| | - Yakang Dai
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
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Gee M, Dukart J, Draganski B, Wayne Martin WR, Emery D, Camicioli R. Regional volumetric change in Parkinson's disease with cognitive decline. J Neurol Sci 2017; 373:88-94. [DOI: 10.1016/j.jns.2016.12.030] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 11/08/2016] [Accepted: 12/16/2016] [Indexed: 11/17/2022]
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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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Claassen DO, McDonell KE, Donahue M, Rawal S, Wylie SA, Neimat JS, Kang H, Hedera P, Zald D, Landman B, Dawant B, Rane S. Cortical asymmetry in Parkinson's disease: early susceptibility of the left hemisphere. Brain Behav 2016; 6:e00573. [PMID: 28031997 PMCID: PMC5167000 DOI: 10.1002/brb3.573] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 07/05/2016] [Accepted: 08/08/2016] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND AND PURPOSE Clinically, Parkinson's disease (PD) presents with asymmetric motor symptoms. The left nigrostriatal system appears more susceptible to early degeneration than the right, and a left-lateralized pattern of early neuropathological changes is also described in several neurodegenerative conditions, including Alzheimer's disease, frontotemporal dementia, and Huntington's disease. In this study, we evaluated hemispheric differences in estimated rates of atrophy in a large, well-characterized cohort of PD patients. METHODS Our cohort included 205 PD patients who underwent clinical assessments and T1-weighted brain MRI's. Patients were classified into Early (n = 109) and Late stage (n = 96) based on disease duration, defined as greater than or less than 10 years of motor symptoms. Cortical thickness was determined using FreeSurfer, and a bootstrapped linear regression model was used to estimate differences in rates of atrophy between Early and Late patients. RESULTS Our results show that patients classified as Early stage exhibit a greater estimated rate of cortical atrophy in left frontal regions, especially the left insula and olfactory sulcus. This pattern was replicated in left-handed patients, and was not influenced by the degree of motor symptom asymmetry (i.e., left-sided predominant motor symptoms). Patients classified as Late stage exhibited greater atrophy in the bilateral occipital, and right hemisphere-predominant cortical areas. CONCLUSIONS We show that cortical degeneration in PD differs between cerebral hemispheres, and findings suggest a pattern of early left, and late right hemisphere with posterior cortical atrophy. Further investigation is warranted to elucidate the underlying mechanisms of this asymmetry and pathologic implications.
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Affiliation(s)
| | | | - Manus Donahue
- Vanderbilt University Institute of Imaging Science Nashville TN USA
| | - Shiv Rawal
- Meharry Medical College Nashville TN USA
| | - Scott A Wylie
- Department of Neurology Vanderbilt University Nashville TN USA
| | - Joseph S Neimat
- Department of Neurosurgery University of Louisville Louisville KY USA
| | - Hakmook Kang
- Department of Biostatistics Vanderbilt University Nashville TN USA
| | - Peter Hedera
- Department of Neurology Vanderbilt University Nashville TN USA
| | - David Zald
- Department of Psychology Vanderbilt University Nashville TN USA
| | - Bennett Landman
- Department of Electrical Engineering Vanderbilt University Nashville TN USA
| | - Benoit Dawant
- Department of Electrical Engineering Vanderbilt University Nashville TN USA
| | - Swati Rane
- Vanderbilt University Institute of Imaging Science Nashville TN USA
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Kobayakawa M, Tsuruya N, Kawamura M. Decision-making performance in Parkinson's disease correlates with lateral orbitofrontal volume. J Neurol Sci 2016; 372:232-238. [PMID: 28017221 DOI: 10.1016/j.jns.2016.11.046] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 10/27/2016] [Accepted: 11/20/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND Patients with Parkinson's disease (PD) exhibit poor decision-making, and the underlying neural correlates are unclear. We used voxel-based morphometry with Diffeomorphic Anatomical Registration through Exponentiated Lie algebra to examine this issue. METHODS The decision-making abilities of 20 patients with PD and 37 healthy controls (HCs) were measured with a computerized Iowa Gambling Task (IGT). We assessed the local gray matter volumes of the patients and HCs and their correlations with decision-making performance, disease duration, disease severity, and anti-Parkinsonism medication dose. RESULTS Compared with the HCs, the patients with PD exhibited poor IGT performances. The gray matter volumes in the medial orbitofrontal cortex, left inferior temporal cortex, and right middle frontal gyrus were decreased in the patients. Results in the regression analysis showed that lateral orbitofrontal volume correlated with performance in the IGT in PD. Regions that correlated with disease duration, severity, and medication dose did not overlap with orbitofrontal regions. CONCLUSION Our results indicate that the lateral and medial orbitofrontal cortex are related to decision-making in PD patients. Since the medial orbitofrontal cortex is shown to be involved in monitoring reward, reward monitoring seems to be impaired as a whole in PD patients. Meanwhile, the lateral region is related to evaluation of punishment, which is considered to have an influence on individual differences in decision-making performance in PD patients.
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Affiliation(s)
- Mutsutaka Kobayakawa
- Department of Informatics, Tokyo University of Information Sciences, 4-1, Onaridai, Wakaba-ku, Chiba, Chiba 265-8501, Japan; Department of Neurology, Showa University School of Medicine, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo 142-8666, Japan
| | - Natsuko Tsuruya
- Department of Psychological Informatics, College of Informatics and Human Communication, Kanazawa Institute of Technology, 7-1 Ohgigaoka, Nonoichi, Ishikawa 921-8501, Japan
| | - Mitsuru Kawamura
- Department of Neurology, Showa University School of Medicine, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo 142-8666, Japan.
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Compta Y, Buongiorno M, Bargalló N, Valldeoriola F, Muñoz E, Tolosa E, Ríos J, Cámara A, Fernández M, Martí MJ. White matter hyperintensities, cerebrospinal amyloid-β and dementia in Parkinson's disease. J Neurol Sci 2016; 367:284-90. [PMID: 27423605 DOI: 10.1016/j.jns.2016.06.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 04/24/2016] [Accepted: 06/03/2016] [Indexed: 12/11/2022]
Affiliation(s)
- Yaroslau Compta
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Mariateresa Buongiorno
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Núria Bargalló
- Magnetic Resonance Unit, Neurorradiology Section, Centre de Diagnòstic per la Imatge (CDI), IDIBAPS, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Francesc Valldeoriola
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Esteban Muñoz
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Eduardo Tolosa
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - José Ríos
- Statistics and Methodologic Support Unit, Unitat d'Avaluació, Suport i Prevenció (UASP), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain
| | - Ana Cámara
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Manel Fernández
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Maria J Martí
- Parkinson disease & Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències (ICN), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain.
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Sterling N, Lewis M, Du G, Huang X. Structural Imaging and Parkinson's Disease: Moving Toward Quantitative Markers of Disease Progression. JOURNAL OF PARKINSON'S DISEASE 2016; 6:557-67. [PMID: 27258697 PMCID: PMC5008231 DOI: 10.3233/jpd-160824] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 04/27/2016] [Indexed: 12/16/2022]
Abstract
Parkinson's disease (PD) is a progressive age-related neurodegenerative disorder. Although the pathological hallmark of PD is dopaminergic cell death in the substantia nigra pars compacta, widespread neurodegenerative changes occur throughout the brain as disease progresses. Postmortem studies, for example, have demonstrated the presence of Lewy pathology, apoptosis, and loss of neurotransmitters and interneurons in both cortical and subcortical regions of PD patients. Many in vivo structural imaging studies have attempted to gauge PD-related pathology, particularly in gray matter, with the hope of identifying an imaging biomarker. Reports of brain atrophy in PD, however, have been inconsistent, most likely due to differences in the studied populations (i.e. different disease stages and/or clinical subtypes), experimental designs (i.e. cross-sectional vs. longitudinal), and image analysis methodologies (i.e. automatic vs. manual segmentation). This review attempts to summarize the current state of gray matter structural imaging research in PD in relationship to disease progression, reconciling some of the differences in reported results, and to identify challenges and future avenues.
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Affiliation(s)
- N.W. Sterling
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - M.M. Lewis
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - G. Du
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
| | - X. Huang
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
- Department of Radiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
- Department of Neurosurgery, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
- Department of Kinesiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, PA, USA
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36
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Voxel-based meta-analysis of gray matter volume reductions associated with cognitive impairment in Parkinson’s disease. J Neurol 2016; 263:1178-87. [DOI: 10.1007/s00415-016-8122-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 04/04/2016] [Accepted: 04/05/2016] [Indexed: 12/14/2022]
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Melzer TR, Myall DJ, MacAskill MR, Pitcher TL, Livingston L, Watts R, Keenan RJ, Dalrymple-Alford JC, Anderson TJ. Tracking Parkinson's Disease over One Year with Multimodal Magnetic Resonance Imaging in a Group of Older Patients with Moderate Disease. PLoS One 2015; 10:e0143923. [PMID: 26714266 PMCID: PMC4694717 DOI: 10.1371/journal.pone.0143923] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 11/11/2015] [Indexed: 11/19/2022] Open
Abstract
Background & Objectives Cross-sectional magnetic resonance imaging (MRI) suggests that Parkinson’s disease (PD) is associated with changes in cerebral tissue volume, diffusion tensor imaging metrics, and perfusion values. Here, we performed a longitudinal multimodal MRI study—including structural, diffusion tensor imaging (DTI), and perfusion MRI—to investigate progressive brain changes over one year in a group of older PD patients at a moderate stage of disease. Methods Twenty-three non-demented PD (mean age (SD) = 69.5 (6.4) years, disease duration (SD) = 5.6 (4.3) years) and 23 matched control participants (mean age: 70.6 (6.8)) completed extensive neuropsychological and clinical assessment, and multimodal 3T MRI scanning at baseline and one year later. We used a voxel-based approach to assess change over time and group-by-time interactions for cerebral structural and perfusion metrics. Results Compared to controls, in PD participants there was localized grey matter atrophy over time in bilateral inferior and right middle temporal, and left orbito-frontal cortices. Using a voxel-based approach that focused on the centers of principal white matter tracts, the PD and control cohorts exhibited similar levels of change in DTI metrics. There was no significant change in perfusion, cognitive, or motor severity measures. Conclusions In a cohort of older, non-demented PD participants, macrostructural MRI detected atrophy in the PD group compared with the control group in temporal and orbito-frontal cortices. Changes in diffusion MRI along principal white matter tracts over one year were found, but this was not differentially affected by PD.
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Affiliation(s)
- Tracy R. Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- * E-mail:
| | - Daniel J. Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Michael R. MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L. Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Richard Watts
- College of Medicine, University of Vermont, Burlington, VT, United States of America
| | - Ross J. Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Christchurch Radiology Group, Christchurch, New Zealand
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Psychology, University of Canterbury, New Zealand
| | - Tim J. Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
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Jia X, Liang P, Li Y, Shi L, Wang D, Li K. Longitudinal Study of Gray Matter Changes in Parkinson Disease. AJNR Am J Neuroradiol 2015; 36:2219-26. [PMID: 26359153 DOI: 10.3174/ajnr.a4447] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Accepted: 04/20/2015] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND PURPOSE The pathology of Parkinson disease leads to morphological brain volume changes. So far, the progressive gray matter volume change across time specific to patients with Parkinson disease compared controls remains unclear. Our aim was to investigate the pattern of gray matter changes in patients with Parkinson disease and to explore the progressive gray matter volume change specific to patients with Parkinson disease with disease progression by using voxel-based morphometry analysis. MATERIALS AND METHODS Longitudinal cognitive assessment and structural MR imaging of 89 patients with Parkinson disease (62 men) and 55 healthy controls (33 men) were from the Parkinson's Progression Markers Initiative data base, including the initial baseline and 12-month follow-up data. Two-way analysis of covariance was performed with covariates of age, sex, years of education, imaging data from multiple centers, and total intracranial volume by using Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra tool from SPM8 software. RESULTS Gray matter volume changes for patients with Parkinson disease were detected with decreased gray matter volume in the frontotemporoparietal areas and the bilateral caudate, with increased gray matter volume in the bilateral limbic/paralimbic areas, medial globus pallidus/putamen, and the right occipital cortex compared with healthy controls. Progressive gray matter volume decrease in the bilateral caudate was found for both patients with Parkinson disease and healthy controls, and this caudate volume was positively associated with cognitive ability for both groups. The progressive gray matter volume increase specific to the patients with Parkinson disease was identified close to the left ventral lateral nucleus of thalamus, and a positive relationship was found between the thalamic volume and the tremor scores in a subgroup with tremor-dominant patients with Parkinson disease. CONCLUSIONS The observed progressive changes in gray matter volume in Parkinson disease may provide new insights into the neurodegenerative process. The current findings suggest that the caudate volume loss may contribute to cognitive decline in patients with Parkinson disease and the progressive thalamus enlargement may have relevance to tremor severity in Parkinson disease.
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Affiliation(s)
- X Jia
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - P Liang
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - Y Li
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - L Shi
- Department of Imaging and Interventional Radiology (L.S., D.W.), The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - D Wang
- Department of Imaging and Interventional Radiology (L.S., D.W.), The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - K Li
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
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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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Sikiö M, Holli-Helenius KK, Harrison LCV, Ryymin P, Ruottinen H, Saunamäki T, Eskola HJ, Elovaara I, Dastidar P. MR image texture in Parkinson's disease: a longitudinal study. Acta Radiol 2015; 56:97-104. [PMID: 24413223 DOI: 10.1177/0284185113519775] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Few of the structural changes caused by Parkinson's disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns. PURPOSE To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. MATERIAL AND METHODS Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson's Disease Ranking Scales I-III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated. RESULTS Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD. CONCLUSION Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.
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Affiliation(s)
- Minna Sikiö
- Department of Radiology, Medical Imaging Center and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
- Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
| | - Kirsi K Holli-Helenius
- Department of Radiology, Medical Imaging Center and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
| | - Lara CV Harrison
- Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
- Department of Anaesthesia, Tampere University Hospital, Tampere, Finland
| | - Pertti Ryymin
- Department of Radiology, Medical Imaging Center and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
| | - Hanna Ruottinen
- Tampere Medical School, University of Tampere, Tampere, Finland
- Department of Neurology and Rehabilitation, Tampere University Hospital, Tampere, Finland
| | - Tiia Saunamäki
- Department of Neurology and Rehabilitation, Tampere University Hospital, Tampere, Finland
| | - Hannu J Eskola
- Department of Radiology, Medical Imaging Center and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
- Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
| | - Irina Elovaara
- Tampere Medical School, University of Tampere, Tampere, Finland
- Department of Neurology and Rehabilitation, Tampere University Hospital, Tampere, Finland
| | - Prasun Dastidar
- Department of Radiology, Medical Imaging Center and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
- Tampere Medical School, University of Tampere, Tampere, Finland
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Xia J, Wang J, Tian W, Ding H, Wei Q, Huang H, Wang J, Zhao J, Gu H, Tang L. Magnetic resonance morphometry of the loss of gray matter volume in Parkinson's disease patients. Neural Regen Res 2014; 8:2557-65. [PMID: 25206566 PMCID: PMC4145936 DOI: 10.3969/j.issn.1673-5374.2013.27.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 06/08/2013] [Indexed: 01/18/2023] Open
Abstract
Voxel-based morphometry can be used to quantitatively compare structural differences and func-tional changes of gray matter in subjects. In the present study, we compared gray matter images of 32 patients with Parkinson's disease and 25 healthy controls using voxel-based morphometry based on 3.0 T high-field magnetic resonance T1-weighted imaging and clinical neurological scale scores. Results showed that the scores in Mini-Mental State Examination and Montreal Cognitive Assessment were lower in patients compared with controls. In particular, the scores of visuospa-tial/executive function items in Montreal Cognitive Assessment were significantly reduced, but mean scores of non-motor symptoms significantly increased, in patients with Parkinson's disease. In dition, gray matter volume was significantly diminished in Parkinson's disease patients compared with normal controls, including bilateral temporal lobe, bilateral occipital lobe, bilateral parietal lobe, bilateral frontal lobe, bilateral insular lobe, bilateral parahippocampal gyrus, bilateral amygdale, right uncus, and right posterior lobe of the cerebellum. These findings indicate that voxel-based phometry can accurately and quantitatively assess the loss of gray matter volume in patients with Parkinson' disease, and provide essential neuroimaging evidence for multisystem pathological mechanisms involved in Parkinson's disease.
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Affiliation(s)
- Jianguo Xia
- Department of Radiology, Taizhou People's Hospital of Nantong University, Nantong 225300, Jiangsu Province, China
| | - Juan Wang
- Department of Medical Image Engineering, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Weizhong Tian
- Department of Radiology, Taizhou People's Hospital of Nantong University, Nantong 225300, Jiangsu Province, China
| | - Hongbin Ding
- Department of Radiology, Taizhou People's Hospital of Nantong University, Nantong 225300, Jiangsu Province, China
| | - Qilin Wei
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Huanxin Huang
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Jun Wang
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Jinli Zhao
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Hongmei Gu
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Lemin Tang
- Department of Medical Image Engineering, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China
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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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Ekman U, Eriksson J, Forsgren L, Domellöf ME, Elgh E, Lundquist A, Nyberg L. Longitudinal changes in task-evoked brain responses in Parkinson's disease patients with and without mild cognitive impairment. Front Neurosci 2014; 8:207. [PMID: 25120418 PMCID: PMC4114183 DOI: 10.3389/fnins.2014.00207] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Accepted: 06/30/2014] [Indexed: 11/30/2022] Open
Abstract
Cognitive deficits are common in Parkinson's disease. Previous cross-sectional research has demonstrated a link between cognitive impairments and fronto-striatal dopaminergic dysmodulation. However, longitudinal studies that link disease progression with altered task-evoked brain activity are lacking. Therefore, our objective was to longitudinally evaluate working-memory related brain activity changes in Parkinson's disease patients with and without mild cognitive impairment (MCI). Patients were recruited within a longitudinal cohort study of incident patients with idiopathic parkinsonism. We longitudinally (at baseline examination and at 12-months follow-up) compared 28 patients with Parkinson's disease without MCI with 11 patients with Parkinson's disease and MCI. Functional MRI blood oxygen level dependent signal was measured during a verbal two-back working-memory task. Patients with MCI under-recruited bilateral medial prefrontal cortex at both time-points (main effect of group: p < 0.001, uncorrected). Critically, a significant group-by-time interaction effect (p < 0.001, uncorrected) was found in the right fusiform gyrus, indicating that working-memory related activity decreased for patients with Parkinson's disease and MCI between baseline and follow-up, while patients without MCI were stable across time-points. The functional connectivity between right fusiform gyrus and bilateral caudate nucleus was stronger for patients without MCI relative to patients with MCI. Our findings support the view that deficits in working-memory updating are related to persistent fronto-striatal under-recruitments in patients with early phase Parkinson's disease and MCI. The longitudinal evolution of MCI in Parkinson's disease translates into additional task-evoked posterior cortical changes.
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Affiliation(s)
- Urban Ekman
- Department of Integrative Medical Biology, Umeå University Umeå, Sweden ; Department of Radiation Sciences, Diagnostic Radiology, Umeå University Umeå, Sweden ; Department of Pharmacology and Clinical Neuroscience, Umeå University Umeå, Sweden ; Umeå Center for Functional Brain Imaging, Umeå University Umeå, Sweden
| | - Johan Eriksson
- Department of Integrative Medical Biology, Umeå University Umeå, Sweden ; Umeå Center for Functional Brain Imaging, Umeå University Umeå, Sweden
| | - Lars Forsgren
- Department of Pharmacology and Clinical Neuroscience, Umeå University Umeå, Sweden
| | - Magdalena E Domellöf
- Department of Pharmacology and Clinical Neuroscience, Umeå University Umeå, Sweden
| | - Eva Elgh
- Department of Clinical sciences, Psychiatry, Umeå University Umeå, Sweden
| | - Anders Lundquist
- Umeå Center for Functional Brain Imaging, Umeå University Umeå, Sweden ; Department of Statistics, USBE, Umeå University Umeå, Sweden
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University Umeå, Sweden ; Department of Radiation Sciences, Diagnostic Radiology, Umeå University Umeå, Sweden ; Umeå Center for Functional Brain Imaging, Umeå University Umeå, Sweden
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Holtbernd F, Eidelberg D. The utility of neuroimaging in the differential diagnosis of parkinsonian syndromes. Semin Neurol 2014; 34:202-9. [PMID: 24963679 DOI: 10.1055/s-0034-1381733] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The differential diagnosis of parkinsonian syndromes can be challenging, particularly in early disease stages. However, prognosis and therapeutic regimes are not alike in Parkinson disease and atypical parkinsonism, and thus a correct diagnosis at the earliest possible stage is desirable. Over the past two decades, magnetic resonance imaging and radiotracer-based imaging techniques have proven to be helpful tools to enhance the accuracy of clinical diagnosis in these disorders. Here, we review recent advances in neuroimaging for the differential diagnosis of parkinsonian syndromes.
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Affiliation(s)
- Florian Holtbernd
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, New York
| | - David Eidelberg
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, New York
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Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev 2014; 43:48-73. [PMID: 24705269 DOI: 10.1016/j.neubiorev.2014.03.016] [Citation(s) in RCA: 372] [Impact Index Per Article: 37.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 03/20/2014] [Accepted: 03/24/2014] [Indexed: 02/08/2023]
Abstract
Numerous studies have begun to address how the brain's gray and white matter may be shaped by meditation. This research is yet to be integrated, however, and two fundamental questions remain: Is meditation associated with altered brain structure? If so, what is the magnitude of these differences? To address these questions, we reviewed and meta-analyzed 123 brain morphology differences from 21 neuroimaging studies examining ∼300 meditation practitioners. Anatomical likelihood estimation (ALE) meta-analysis found eight brain regions consistently altered in meditators, including areas key to meta-awareness (frontopolar cortex/BA 10), exteroceptive and interoceptive body awareness (sensory cortices and insula), memory consolidation and reconsolidation (hippocampus), self and emotion regulation (anterior and mid cingulate; orbitofrontal cortex), and intra- and interhemispheric communication (superior longitudinal fasciculus; corpus callosum). Effect size meta-analysis (calculating 132 effect sizes from 16 studies) suggests a global 'medium' effect size (Cohen's d¯=0.46; r¯=.19). Publication bias and methodological limitations are strong concerns, however. Further research using rigorous methods is required to definitively link meditation practice to altered brain morphology.
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Sundman MH, Hall EE, Chen NK. Examining the relationship between head trauma and neurodegenerative disease: A review of epidemiology, pathology and neuroimaging techniques. ACTA ACUST UNITED AC 2014; 4. [PMID: 25324979 DOI: 10.4172/2161-0460.1000137] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Traumatic brain injuries (TBI) are induced by sudden acceleration-deceleration and/or rotational forces acting on the brain. Diffuse axonal injury (DAI) has been identified as one of the chief underlying causes of morbidity and mortality in head trauma incidents. DAIs refer to microscopic white matter (WM) injuries as a result of shearing forces that induce pathological and anatomical changes within the brain, which potentially contribute to significant impairments later in life. These microscopic injuries are often unidentifiable by the conventional computed tomography (CT) and magnetic resonance (MR) scans employed by emergency departments to initially assess head trauma patients and, as a result, TBIs are incredibly difficult to diagnose. The impairments associated with TBI may be caused by secondary mechanisms that are initiated at the moment of injury, but often have delayed clinical presentations that are difficult to assess due to the initial misdiagnosis. As a result, the true consequences of these head injuries may go unnoticed at the time of injury and for many years thereafter. The purpose of this review is to investigate these consequences of TBI and their potential link to neurodegenerative disease (ND). This review will summarize the current epidemiological findings, the pathological similarities, and new neuroimaging techniques that may help delineate the relationship between TBI and ND. Lastly, this review will discuss future directions and propose new methods to overcome the limitations that are currently impeding research progress. It is imperative that improved techniques are developed to adequately and retrospectively assess TBI history in patients that may have been previously undiagnosed in order to increase the validity and reliability across future epidemiological studies. The authors introduce a new surveillance tool (Retrospective Screening of Traumatic Brain Injury Questionnaire, RESTBI) to address this concern.
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Affiliation(s)
- Mark H Sundman
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Eric E Hall
- Department of Exercise Science, Elon University, Elon, NC, USA
| | - Nan-Kuei Chen
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
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Eshaghi A, Bodini B, Ridgway GR, García-Lorenzo D, Tozer DJ, Sahraian MA, Thompson AJ, Ciccarelli O. Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis. Neuroimage 2013; 86:257-64. [PMID: 24099844 PMCID: PMC3898881 DOI: 10.1016/j.neuroimage.2013.09.059] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2013] [Revised: 09/03/2013] [Accepted: 09/23/2013] [Indexed: 01/13/2023] Open
Abstract
Grey matter (GM) atrophy occurs early in primary progressive MS (PPMS), but it is unknown whether its progression involves different brain regions at different rates, as is seen in other neurodegenerative diseases. We aimed to investigate the temporal and regional evolution of GM volume loss over 5 years and its relationship with disability progression in early PPMS. We studied 36 patients with PPMS within five years from onset and 19 age and gender-matched healthy controls with clinical and imaging assessments at study entry and yearly for 3 years and then at 5 years. Patients were scored on the expanded disability status scale (EDSS) and MS Functional Composite (MSFC) at each time-point. An unbiased longitudinal voxel-based morphometry approach, based on high-dimensional spatial alignment within-subject, was applied to the serial imaging data. The rate of local (voxel-wise) volume change per year was compared between groups and its relationship with clinical outcomes was assessed. Patients deteriorated significantly during the five years follow-up. Patients showed a greater decline of GM volume (p < 0.05, FWE-corrected) bilaterally in the cingulate cortex, thalamus, putamen, precentral gyrus, insula and cerebellum when compared to healthy controls over five years, although the rate of volume loss varied across the brain, and was the fastest in the cingulate cortex. Significant (p < 0.05, FWE-corrected) volume loss was detected in the left insula, left precuneus, and right cingulate cortex in patients at three years, as compared to baseline, whilst the bilateral putamen and the left superior temporal gyrus showed volume loss at five years. In patients, there was a relationship between a higher rate of volume loss in the bilateral cingulate cortex and greater clinical disability, as measured by the MSFC, at five years (Pearson's r = 0.49, p = 0.003). Longitudinal VBM demonstrated that the progression of GM atrophy in PPMS occurs at different rates in different regions across the brain. The involvement of the cingulate cortex occurs early in the disease course, continues at a steady rate throughout the follow-up period and is associated with patient outcome. These findings provide new insights into the characteristics of GM atrophy across the brain in MS, and have potential consequences for the selection of brain atrophy as an outcome measure in neuroprotective clinical trials. Longitudinal VBM and TBM can be used in longitudinal studies in multiple sclerosis. GM loss is a dynamic process in primary progressive multiple sclerosis. The highest rate of GM reduction is seen in the cingulate gyri. GM atrophy may be used as an outcome measure for neuroprotective clinical trials.
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Affiliation(s)
- Arman Eshaghi
- NMR research Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square MS Centre, London, UK; MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Benedetta Bodini
- NMR research Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square MS Centre, London, UK; Brain and Spine institute, ICM, Paris, France; Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière, Université Pierre et Marie Curie, Inserm U975, Paris, France
| | - Gerard R Ridgway
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK
| | | | - Daniel J Tozer
- Department of Neuroinflammation, UCL Institute of Neurology, Queen Square MS Centre, London, UK
| | - Mohammad Ali Sahraian
- MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Alan J Thompson
- NMR research Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square MS Centre, London, UK; National Institute of Health Research (NIHR), UCLH, Biomedical Research Centre (BRC), London, UK
| | - Olga Ciccarelli
- NMR research Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square MS Centre, London, UK; National Institute of Health Research (NIHR), UCLH, Biomedical Research Centre (BRC), London, UK
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Lanoue AC, Blatt GJ, Soghomonian JJ. Decreased parvalbumin mRNA expression in dorsolateral prefrontal cortex in Parkinson's disease. Brain Res 2013; 1531:37-47. [PMID: 23891794 DOI: 10.1016/j.brainres.2013.07.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 06/28/2013] [Accepted: 07/18/2013] [Indexed: 11/15/2022]
Abstract
It has recently been shown that expression of the rate-limiting GABA-synthesizing enzyme glutamic acid decarboxylase (GAD) is decreased in Brodmann area 9 (BA9) of the dorsolateral prefrontal cortex (DLPFC) in Parkinson's disease (PD) compared to control brains (Lanoue, A.C., Dumitriu, A., Myers, R.H., Soghomonian, JJ., 2010. Exp. Neurol. 206 (1), 207-217). A subpopulation of cortical GABAergic interneurons expresses the calcium-binding protein parvalbumin and plays a critical role in the control of pyramidal neuron excitability and the generation of cortical gamma frequency oscillations. In view of its key role in the physiology of the cerebral cortex, we sought to determine whether the expression of parvalbumin and the number of parvalbumin-expressing neurons are altered in BA9 of PD brains. First, isotopic in situ hybridization histochemistry was used to examine mRNA expression of parvalbumin on post-mortem brain sections. Second, immunohistochemistry and design-based stereology were used to determine the density of parvalbumin-positive interneurons in BA9. Quantification of mRNA labeling at the single cell level showed a significant decrease in parvalbumin expression in PD cases. In contrast, neuronal density of parvalbumin-positive neurons was not significantly different between PD and controls. Results confirm that the GABAergic system is altered in the DLPFC in PD and identify the contribution of parvalbumin-expressing neurons in these alterations. We speculate that these effects could contribute to altered cortical excitability and oscillatory activity previously documented in PD.
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Affiliation(s)
- Amélie C Lanoue
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
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Agosta F, Canu E, Stefanova E, Sarro L, Tomić A, Špica V, Comi G, Kostić VS, Filippi M. Mild cognitive impairment in Parkinson's disease is associated with a distributed pattern of brain white matter damage. Hum Brain Mapp 2013; 35:1921-9. [PMID: 23843285 DOI: 10.1002/hbm.22302] [Citation(s) in RCA: 123] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2012] [Revised: 02/21/2013] [Accepted: 03/18/2013] [Indexed: 11/07/2022] Open
Abstract
This study assesses the patterns of gray matter (GM) and white matter (WM) damage in patients with Parkinson's disease and mild cognitive impairment (PD-MCI) compared with healthy controls and cognitively unimpaired PD patients (PD-Cu). Three-dimensional T1-weighted and diffusion tensor (DT) magnetic resonance imaging (MRI) scans were obtained from 43 PD patients and 33 healthy controls. Cognition was assessed using a neuropsychological battery. Tract-based spatial statistics was applied to compare DT MRI indices between groups on a voxel-by-voxel basis. Voxel-based morphometry was performed to assess GM atrophy. Thirty PD patients were classified as MCI. Compared with healthy controls, PD-Cu and PD-MCI patients did not have GM atrophy. No region of WM damage was found in PD-Cu patients when compared with healthy controls. Relative to healthy controls and PD-Cu patients, PD-MCI patients showed a distributed pattern of WM abnormalities in the anterior and superior corona radiata, genu, and body of the corpus callosum, and anterior inferior fronto-occipital, uncinate, and superior longitudinal fasciculi, bilaterally. Subtle cognitive decline in PD is associated with abnormalities of frontal and interhemispheric WM connections, and not with GM atrophy. DT MRI might contribute to the identification of structural changes in PD-MCI patients prior to the development of dementia.
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Affiliation(s)
- Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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Mild cognitive impairment in Parkinson's disease: a review of current concepts. Neurol Res Int 2013; 2013:576091. [PMID: 23936650 PMCID: PMC3713320 DOI: 10.1155/2013/576091] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2013] [Accepted: 06/11/2013] [Indexed: 11/21/2022] Open
Abstract
Mild Cognitive Impairment in Parkinson's Disease (PD-MCI) is common and may be associated with accelerated progression to dementia. Considering the importance of this emerging entity, new diagnostic criteria have recently been proposed. Early recognition and accurate classification of PD-MCI could offer opportunities for novel therapeutic interventions. This review discusses current definitions for PD-MCI, the screening tools used, the pattern of cognitive deficits observed, and the predictors of cognitive decline and transition to Parkinson's Disease Dementia. Emerging biomarkers, which may aid diagnosis, are also explored and the role of novel treatment options is considered.
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