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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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Welton T, Hartono S, Shih YC, Schwarz ST, Xing Y, Tan EK, Auer DP, Harel N, Chan LL. Ultra-high-field 7T MRI in Parkinson's disease: ready for clinical use?-a narrative review. Quant Imaging Med Surg 2023; 13:7607-7620. [PMID: 37969629 PMCID: PMC10644128 DOI: 10.21037/qims-23-509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/15/2023] [Indexed: 11/17/2023]
Abstract
Background and Objective The maturation of ultra-high-field magnetic resonance imaging (MRI) [≥7 Tesla (7T)] has improved our capability to depict and characterise brain structures efficiently, with better signal-to-noise ratio (SNR) and spatial resolution. We evaluated whether these improvements benefit the clinical detection and management of Parkinson's disease (PD). Methods We performed a literature search in March 2023 in PubMed (MEDLINE), EMBASE and Google Scholar for articles on "7T MRI" AND "Parkinson*", written in English, published between inception and 1st March, 2023, which we synthesised in narrative form. Key Content and Findings In deep-brain stimulation (DBS) surgical planning, early studies show that 7T MRI can distinguish anatomical substructures, and that this results in reduced adverse effects. In other areas, while there is strong evidence for improved accuracy and precision of 7T MRI-based measurements for PD, there is limited evidence for meaningful clinical translation. In particular, neuromelanin-iron complex quantification and visualisation in midbrain nuclei is enhanced, enabling depiction of nigrosomes 1-5, improved morphometry and vastly improved radiological assessments; however, studies on the related clinical outcomes, diagnosis, subtyping, differentiation of atypical parkinsonisms, and monitoring of treatment response using 7T MRI are lacking. Moreover, improvements in clinical utility must be great enough to justify the additional costs. Conclusions Together, current evidence supports feasible future clinical implementation of 7T MRI for PD. Future impacts to clinical decision making for diagnosis, differentiation, and monitoring of progression or treatment response are likely; however, to achieve this, further longitudinal studies using 7T MRI are needed in prodromal, early-stage PD and parkinsonism cohorts focusing on clinical translational potential.
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Affiliation(s)
- Thomas Welton
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Septian Hartono
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
| | - Yao-Chia Shih
- Duke-NUS Medical School, Singapore, Singapore
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
- Graduate Institute of Medicine, Yuan Ze University and National Taiwan University, Taipei
| | - Stefan T. Schwarz
- Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Radiology, Cardiff and Vale University Health Board, Cardiff, Wales, UK
| | - Yue Xing
- Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Eng-King Tan
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Dorothee P. Auer
- Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Noam Harel
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Ling-Ling Chan
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
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Watanabe Y, Dezawa S, Takei H, Nagasaka K, Takashima I. Hippocampal-prefrontal long-term potentiation-like plasticity with transcranial direct current stimulation in rats. Neurobiol Learn Mem 2023; 201:107750. [PMID: 37023973 DOI: 10.1016/j.nlm.2023.107750] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 02/01/2023] [Accepted: 03/30/2023] [Indexed: 04/08/2023]
Abstract
Transcranial direct current stimulation (tDCS) has been explored as a new treatment method for improving cognitive and motor functions. However, the neuronal mechanisms of tDCS in modulating brain functions, especially cognitive and memory functions, are not well understood. In the present study, we assessed whether tDCS could promote neuronal plasticity between the hippocampus and prefrontal cortex in rats. This is important because the hippocampus-prefrontal pathway is a key pathway in cognitive and memory functions and is involved in various psychiatric and neurodegenerative disorders. Specifically, the effect of anodal or cathodal tDCS on the medial prefrontal cortex was investigated in rats by measuring the medial prefrontal cortex response to electrical stimulation applied to the CA1 region of the hippocampus. Following anodal tDCS, the evoked prefrontal response was potentiated compared to that in the pre-tDCS condition. However, the evoked prefrontal response did not show any significant changes following cathodal tDCS. Furthermore, the plastic change of the prefrontal response following anodal tDCS was only induced when hippocampal stimulation was continuously applied during tDCS. Anodal tDCS without hippocampal activation showed little or no changes. These results indicate that combining anodal tDCS of the prefrontal cortex with hippocampal activation induces long-term potentiation (LTP)-like plasticity in the hippocampus-prefrontal pathway. This LTP-like plasticity can facilitate smooth information transmission between the hippocampus and the prefrontal cortex and may lead to improvements in cognitive and memory function.
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Affiliation(s)
- Yumiko Watanabe
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1, Umezono, Tsukuba 305-8568, Japan.
| | - Shinnosuke Dezawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1, Umezono, Tsukuba 305-8568, Japan; Faculty of Medical and Health Sciences, Tsukuba International University, 6-8-33, Manabe, Tsuchiura 300-0051, Japan
| | - Hiroyuki Takei
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1, Umezono, Tsukuba 305-8568, Japan; raduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-9577, Japan
| | - Kazuaki Nagasaka
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1, Umezono, Tsukuba 305-8568, Japan; Institute for Human Movement and Medical Science, Niigata University of Health and Welfare, Niigata 950-3198, Japan
| | - Ichiro Takashima
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1, Umezono, Tsukuba 305-8568, Japan; raduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-9577, Japan
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Deng JH, Zhang HW, Liu XL, Deng HZ, Lin F. Morphological changes in Parkinson's disease based on magnetic resonance imaging: A mini-review of subcortical structures segmentation and shape analysis. World J Psychiatry 2022; 12:1356-1366. [PMID: 36579355 PMCID: PMC9791612 DOI: 10.5498/wjp.v12.i12.1356] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/02/2022] [Accepted: 11/22/2022] [Indexed: 12/16/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder caused by the loss of dopaminergic neurons in the substantia nigra, resulting in clinical symptoms, including bradykinesia, resting tremor, rigidity, and postural instability. The pathophysiological changes in PD are inextricably linked to the subcortical structures. Shape analysis is a method for quantifying the volume or surface morphology of structures using magnetic resonance imaging. In this review, we discuss the recent advances in morphological analysis techniques for studying the subcortical structures in PD in vivo. This approach includes available pipelines for volume and shape analysis, focusing on the morphological features of volume and surface area.
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Affiliation(s)
- Jin-Huan Deng
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
| | - Han-Wen Zhang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
| | - Xiao-Lei Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
| | - Hua-Zhen Deng
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
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