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Lv Q, Wang X, Lin P, Wang X. Neuromelanin-sensitive magnetic resonance imaging in the study of mental disorder: A systematic review. Psychiatry Res Neuroimaging 2024; 339:111785. [PMID: 38325165 DOI: 10.1016/j.pscychresns.2024.111785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/26/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024]
Abstract
Dopamine and norepinephrine are implicated in the pathophysiology of mental disorders, but non-invasive study of their neuronal function remains challenging. Recent research suggests that neuromelanin-sensitive magnetic resonance imaging (NM-MRI) techniques may overcome this limitation by enabling the non-invasive imaging of the substantia nigra (SN)/ ventral tegmental area (VTA) dopaminergic and locus coeruleus (LC) noradrenergic systems. A review of 19 studies that met the criteria for NM-MRI application in mental disorders found that despite the use of heterogeneous sequence parameters and metrics, nearly all studies reported differences in contrast ratio (CNR) of LC or SN/VTA between patients with mental disorders and healthy controls. These findings suggest that NM-MRI is a valuable tool in psychiatry, but the differences in sequence parameters across studies hinder comparability, and a standardized analysis pipeline is needed to improve the reliability of results. Further research using standardized methods is needed to better understand the role of dopamine and norepinephrine in mental disorders.
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Affiliation(s)
- Qiuyu Lv
- Department of Psychology and Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Changsha, 410081, China; Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, 410081, China
| | - Xuanyi Wang
- Department of Psychology and Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Changsha, 410081, China; Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, 410081, China
| | - Pan Lin
- Department of Psychology and Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Changsha, 410081, China; Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, 410081, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR China.; China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, PR China..
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2
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Trujillo P, Aumann MA, Claassen DO. Neuromelanin-sensitive MRI as a promising biomarker of catecholamine function. Brain 2024; 147:337-351. [PMID: 37669320 PMCID: PMC10834262 DOI: 10.1093/brain/awad300] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/17/2023] [Accepted: 08/20/2023] [Indexed: 09/07/2023] Open
Abstract
Disruptions to dopamine and noradrenergic neurotransmission are noted in several neurodegenerative and psychiatric disorders. Neuromelanin-sensitive (NM)-MRI offers a non-invasive approach to visualize and quantify the structural and functional integrity of the substantia nigra and locus coeruleus. This method may aid in the diagnosis and quantification of longitudinal changes of disease and could provide a stratification tool for predicting treatment success of pharmacological interventions targeting the dopaminergic and noradrenergic systems. Given the growing clinical interest in NM-MRI, understanding the contrast mechanisms that generate this signal is crucial for appropriate interpretation of NM-MRI outcomes and for the continued development of quantitative MRI biomarkers that assess disease severity and progression. To date, most studies associate NM-MRI measurements to the content of the neuromelanin pigment and/or density of neuromelanin-containing neurons, while recent studies suggest that the main source of the NM-MRI contrast is not the presence of neuromelanin but the high-water content in the dopaminergic and noradrenergic neurons. In this review, we consider the biological and physical basis for the NM-MRI contrast and discuss a wide range of interpretations of NM-MRI. We describe different acquisition and image processing approaches and discuss how these methods could be improved and standardized to facilitate large-scale multisite studies and translation into clinical use. We review the potential clinical applications in neurological and psychiatric disorders and the promise of NM-MRI as a biomarker of disease, and finally, we discuss the current limitations of NM-MRI that need to be addressed before this technique can be utilized as a biomarker and translated into clinical practice and offer suggestions for future research.
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Affiliation(s)
- Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Megan A Aumann
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
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3
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Khedher L, Bonny JM, Marques A, Durand E, Pereira B, Chupin M, Vidal T, Chassain C, 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 W, Frismand S, Schmitt E, Doé de Maindreville A, Portefaix C, Remy P, Fénelon G, Luc Houeto J, Colin O, Rascol O, Peran P, Durif F. Intrasubject subcortical quantitative referencing to boost MRI sensitivity to Parkinson's disease. Neuroimage Clin 2022; 36:103231. [PMID: 36279753 PMCID: PMC9668635 DOI: 10.1016/j.nicl.2022.103231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Several postmortem studies have shown iron accumulation in the substantia nigra of Parkinson's disease patients. Iron concentration can be estimated via MRI-R2∗ mapping. To assess the changes in R2∗ occurring in Parkinson's disease patients compared to controls, a multicentre transversal study was carried out on a large cohort of Parkinson's disease patients (n = 163) with matched controls (n = 82). In this study, 44 patients and 11 controls were removed due to motion artefacts, 21 patient and 6 controls to preserve matching. Thus, 98 patients and 65 age and sex-matched healthy subjects were selected with enough image quality. The study was conducted on patients with early to late stage Parkinson's disease. The images were acquired at 3Tesla in 12 clinical centres. R2∗ values were measured in subcortical regions of interest (substantia nigra, red nucleus, striatum, globus pallidus externus and globus pallidus internus) contralateral (dominant side) and ipsilateral (non dominant side) to the most clinically affected hemibody. As the observed inter-subject R2∗ variability was significantly higher than the disease effect, an original strategy (intrasubject subcortical quantitative referencing, ISQR) was developed using the measurement of R2∗ in the red nucleus as an intra-subject reference. R2∗ values significantly increased in Parkinson's disease patients when compared with controls; in the substantia nigra (SN) in the dominant side (D) and in the non dominant side (ND), respectively (PSN_D and PSN_ND < 0.0001). After stratification into four subgroups according to the disease duration, no significant R2∗ difference was found in all regions of interest when comparing Parkinson's disease subgroups. By applying our ISQR strategy, R2(ISQR)∗ values significantly increased in the substantia nigra (PSN_D and PSN_ND < 0.0001) when comparing all Parkinson's disease patients to controls. R2(ISQR)∗ values in the substantia nigra significantly increased with the disease duration (PSN_D = 0.01; PSN_ND = 0.03) as well as the severity of the disease (Hoehn & Yahr scale <2 and ≥ 2, PSN_D = 0.02). Additionally, correlations between R2(ISQR)∗ and clinical features, mainly related to the severity of the disease, were found. Our results support the use of ISQR to reduce variations not directly related to Parkinson's disease, supporting the concept that ISQR strategy is useful for the evaluation of Parkinson's disease.
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Affiliation(s)
- Laila Khedher
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,AgroResonance, INRAE, 2018. Nuclear Magnetic Resonance Facility for Agronomy, Food and Health, doi: 10.15454/1.5572398324758228E12, France,Corresponding author at: AgroResonance, INRAE, UR370 QuaPA, Saint-Genès-Champanelle F-63122, France.
| | - Jean-Marie Bonny
- AgroResonance, INRAE, 2018. Nuclear Magnetic Resonance Facility for Agronomy, Food and Health, doi: 10.15454/1.5572398324758228E12, France,AgroResonance UR370 QuaPA - INRAE, Saint-Genès-Champanelle 63122, France
| | - Ana Marques
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Elodie Durand
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Bruno Pereira
- Clermont-Ferrand University Hospital, Biostatistics Unit (DRCI), Clermont-Ferrand, France
| | - Marie Chupin
- Sorbonne Université, Institut du Cerveau - ICM, CATI, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Tiphaine Vidal
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Carine Chassain
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, 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
- Service de Neurologie, CHU de Grenoble and NS-PARK/FCRIN Network, Université Grenoble Alpes, Grenoble Institute of Neuroscience, Grenoble, France
| | - Elena Moro
- Service de Neurologie, CHU de Grenoble and NS-PARK/FCRIN Network, Université Grenoble Alpes, Grenoble Institute of Neuroscience, 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
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Marie Vidailhet
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stéphane Lehéricy
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, 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,EuroMov Laboratory, University of Montpellier, 700 Avenue du Pic Saint Loup, Montpellier, Montpellier 34090, France
| | - Umberto Spampinato
- Service de Neurologie - Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, Bordeaux F-33000, France
| | - Wassilios Meissner
- Service de Neurologie - Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, Bordeaux F-33000, France,Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, Bordeaux F-33000, France,Dept. Medicine, University of Otago, Christchurch, and New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Solène Frismand
- Service de Neurologie and NS-PARK/FCRIN Network, CHRU-Nancy, Nancy, France
| | - Emmanuelle Schmitt
- Service de Neurologie and NS-PARK/FCRIN Network, CHRU-Nancy, Nancy, France
| | | | - Christophe Portefaix
- Department of Radiology, Hôpital Maison blanche, Reims, France,CReSTIC Laboratory (EA 3804), 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, Poitiers, France– CH Brive la Gaillarde, France
| | - Olivier Rascol
- Centre d'Investigation Clinique CIC 1436, UMR 1214 TONIC and NS-PARK/FCRIN Network, INSERM, CHU de Toulouse et Université de Toulouse3, Toulouse, France
| | - Patrice Peran
- Centre d'Investigation Clinique CIC 1436, UMR 1214 TONIC and NS-PARK/FCRIN Network, INSERM, CHU de Toulouse et Université de Toulouse3, Toulouse, France
| | - Franck Durif
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
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Suárez-Pereira I, Llorca-Torralba M, Bravo L, Camarena-Delgado C, Soriano-Mas C, Berrocoso E. The Role of the Locus Coeruleus in Pain and Associated Stress-Related Disorders. Biol Psychiatry 2022; 91:786-797. [PMID: 35164940 DOI: 10.1016/j.biopsych.2021.11.023] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 11/24/2021] [Accepted: 11/26/2021] [Indexed: 12/26/2022]
Abstract
The locus coeruleus (LC)-noradrenergic system is the main source of noradrenaline in the central nervous system and is involved intensively in modulating pain and stress-related disorders (e.g., major depressive disorder and anxiety) and in their comorbidity. However, the mechanisms involving the LC that underlie these effects have not been fully elucidated, in part owing to the technical difficulties inherent in exploring such a tiny nucleus. However, novel research tools are now available that have helped redefine the LC system, moving away from the traditional view of LC as a homogeneous structure that exerts a uniform influence on neural activity. Indeed, innovative techniques such as DREADDs (designer receptors exclusively activated by designer drugs) and optogenetics have demonstrated the functional heterogeneity of LC, and novel magnetic resonance imaging applications combined with pupillometry have opened the way to evaluate LC activity in vivo. This review aims to bring together the data available on the efferent activity of the LC-noradrenergic system in relation to pain and its comorbidity with anxiodepressive disorders. Acute pain triggers a robust LC stress response, producing spinal cord-mediated endogenous analgesia while promoting aversion, vigilance, and threat detection through its ascending efferents. However, this protective biological system fails in chronic pain, and LC activity produces pain facilitation, anxiety, increased aversive memory, and behavioral despair, acting at the medulla, prefrontal cortex, and amygdala levels. Thus, the activation/deactivation of specific LC projections contributes to different behavioral outcomes in the shift from acute to chronic pain.
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Affiliation(s)
- Irene Suárez-Pereira
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, Hospital Universitario Puerta del Mar, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Meritxell Llorca-Torralba
- Neuropsychopharmacology and Psychobiology Research Group, Department of Psychology, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, Hospital Universitario Puerta del Mar, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Lidia Bravo
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, Hospital Universitario Puerta del Mar, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Camarena-Delgado
- Neuropsychopharmacology and Psychobiology Research Group, Department of Psychology, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Carles Soriano-Mas
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, Barcelona, Spain; Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Esther Berrocoso
- Neuropsychopharmacology and Psychobiology Research Group, Department of Psychology, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, Hospital Universitario Puerta del Mar, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain.
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5
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Schulz J, Zimmermann J, Sorg C, Menegaux A, Brandl F. Magnetic resonance imaging of the dopamine system in schizophrenia - A scoping review. Front Psychiatry 2022; 13:925476. [PMID: 36203848 PMCID: PMC9530597 DOI: 10.3389/fpsyt.2022.925476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/08/2022] [Indexed: 11/30/2022] Open
Abstract
For decades, aberrant dopamine transmission has been proposed to play a central role in schizophrenia pathophysiology. These theories are supported by human in vivo molecular imaging studies of dopamine transmission, particularly positron emission tomography. However, there are several downsides to such approaches, for example limited spatial resolution or restriction of the measurement to synaptic processes of dopaminergic neurons. To overcome these limitations and to measure complementary aspects of dopamine transmission, magnetic resonance imaging (MRI)-based approaches investigating the macrostructure, metabolism, and connectivity of dopaminergic nuclei, i.e., substantia nigra pars compacta and ventral tegmental area, can be employed. In this scoping review, we focus on four dopamine MRI methods that have been employed in patients with schizophrenia so far: neuromelanin MRI, which is thought to measure long-term dopamine function in dopaminergic nuclei; morphometric MRI, which is assumed to measure the volume of dopaminergic nuclei; diffusion MRI, which is assumed to measure fiber-based structural connectivity of dopaminergic nuclei; and resting-state blood-oxygenation-level-dependent functional MRI, which is thought to measure functional connectivity of dopaminergic nuclei based on correlated blood oxygenation fluctuations. For each method, we describe the underlying signal, outcome measures, and downsides. We present the current state of research in schizophrenia and compare it to other disorders with either similar (psychotic) symptoms, i.e., bipolar disorder and major depressive disorder, or dopaminergic abnormalities, i.e., substance use disorder and Parkinson's disease. Finally, we discuss overarching issues and outline future research questions.
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Affiliation(s)
- Julia Schulz
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Juliana Zimmermann
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Aurore Menegaux
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Felix Brandl
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
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6
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Betrouni N, Moreau C, Rolland AS, Carrière N, Viard R, Lopes R, Kuchcinski G, Eusebio A, Thobois S, Hainque E, Hubsch C, Rascol O, Brefel C, Drapier S, Giordana C, Durif F, Maltête D, Guehl D, Hopes L, Rouaud T, Jarraya B, Benatru I, Tranchant C, Tir M, Chupin M, Bardinet E, Defebvre L, Corvol JC, Devos D. Can Dopamine Responsiveness Be Predicted in Parkinson's Disease Without an Acute Administration Test? JOURNAL OF PARKINSON'S DISEASE 2022; 12:2179-2190. [PMID: 35871363 DOI: 10.3233/jpd-223334] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Dopamine responsiveness (dopa-sensitivity) is an important parameter in the management of patients with Parkinson's disease (PD). For quantification of this parameter, patients undergo a challenge test with acute Levodopa administration after drug withdrawal, which may lead to patient discomfort and use of significant resources. OBJECTIVE Our objective was to develop a predictive model combining clinical scores and imaging. METHODS 350 patients, recruited by 13 specialist French centers and considered for deep brain stimulation, underwent an acute L-dopa challenge (dopa-sensitivity > 30%), full assessment, and MRI investigations, including T1w and R2* images. Data were randomly divided into a learning base from 10 centers and data from the remaining centers for testing. A machine selection approach was applied to choose the optimal variables and these were then used in regression modeling. Complexity of the modelling was incremental, while the first model considered only clinical variables, the subsequent included imaging features. The performances were evaluated by comparing the estimated values and actual valuesResults:Whatever the model, the variables age, sex, disease duration, and motor scores were selected as contributors. The first model used them and the coefficients of determination (R2) was 0.60 for the testing set and 0.69 in the learning set (p < 0.001). The models that added imaging features enhanced the performances: with T1w (R2 = 0.65 and 0.76, p < 0.001) and with R2* (R2 = 0.60 and 0.72, p < 0.001). CONCLUSION These results suggest that modeling is potentially a simple way to estimate dopa-sensitivity, but requires confirmation in a larger population, including patients with dopa-sensitivity < 30.
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Affiliation(s)
- Nacim Betrouni
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
| | - Caroline Moreau
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
| | - Anne-Sophie Rolland
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
| | - Nicolas Carrière
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Romain Viard
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Renaud Lopes
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Gregory Kuchcinski
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neuroradioloy Department, Lille, France
| | - Alexandre Eusebio
- Aix Marseille Universitë, AP-HM, Hôpital de La Timone, Service de Neurologie et Pathologie du Mouvement, UMR CNRS 7289, Institut de Neuroscience de La Timone, Marseille, France; NS-Park French Network
| | - Stephane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Neurologie C, Bron, France
| | - Elodie Hainque
- Dëpartement de Neurologie, Hôpital Pitië-Salpêtrière, AP-HP, Paris, France; NS-Park French Network
| | - Cecile Hubsch
- Fondation Ophtalmologique A de Rothschild, Unitë James Parkinson, Paris, France; NS-Park French Network
| | - Olivier Rascol
- University of Toulouse 3, University Hospital of Toulouse, INSERM, Departments of Neuroscience and Clinical Pharmacology, Clinical Investigation Center CIC 1436, Toulouse Parkinson Expert Center, NS-NeuroToul Center of Excellence for Neurodegenerative Disorders (COEN), Toulouse, France; NS-Park French Network
| | - Christine Brefel
- University of Toulouse 3, University Hospital of Toulouse, INSERM, Departments of Neuroscience and Clinical Pharmacology, Clinical Investigation Center CIC 1436, Toulouse Parkinson Expert Center, NS-NeuroToul Center of Excellence for Neurodegenerative Disorders (COEN), Toulouse, France; NS-Park French Network
| | - Sophie Drapier
- Service de Neurologie, CHU Pont Chaillou, 2 rue Henri le Guilloux, Rennes cedex, France; NS-Park French Network
| | - Caroline Giordana
- Universitë Clermont Auvergne, EA7280, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France; NS-Park French Network
| | - Franck Durif
- Universitë Clermont Auvergne, EA7280, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France; NS-Park French Network
| | - David Maltête
- Department of Neurology, Rouen University Hospital and University of Rouen, France; INSERM U1239, Laboratory of Neuronal and Neuroendocrine Differentiation and Communication, Mont-Saint-Aignan, France; NS-Park French Network
| | - Dominique Guehl
- Service d'Explorations Fonctionnelles du Système Nerveux, Institut des Maladies Neurodëgënëratives Cliniques, CHU de Bordeaux, Bordeaux, France; NS-Park French Network
| | - Lucie Hopes
- Neurology Department, Nancy University Hospital, Nancy, France; NS-Park French Network
| | - Tiphaine Rouaud
- Clinique Neurologique, Hôpital Guillaume et Renë Laennec, Boulevard Jacques Monod, Nantes Cedex, France; NS-Park French Network
| | - Bechir Jarraya
- Movement Disorders Unit, Foch Hospital, Universitë Paris-Saclay (UVSQ), INSERM U992, NeuroSpin, CEA Paris-Saclay, Suresnes, France; NS-Park French Network
| | - Isabelle Benatru
- Service de Neurologie, Centre Expert Parkinson, CIC-INSERM 1402, CHU Poitiers, Poitiers, France; NS-Park French Network
| | - Christine Tranchant
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France; Institut de Gënëtique et de Biologie Molëculaire et Cellulaire (IGBMC), INSERM-U964/CNRS-UMR7104/Universitë de Strasbourg, Illkirch, France; Fëdëration de Mëdecine Translationnelle de Strasbourg (FMTS), Universitë de Strasbourg, Strasbourg, France; NS-Park French Network
| | - Melissa Tir
- Department of Neurosurgery, Amiens University Hospital, Amiens, France; Medical Imaging Unit, Amiens University Hospital, Amiens, France; BioFlowImage Research Group, Jules Verne University of Picardie, Amiens, France; NS-Park French Network
| | - Marie Chupin
- CATI, Institut du Cerveau et de le Moelle Epinière, ICM, INSERM U1127, CNRS UMR7225, Sorbonne Universitë, Paris, France
| | - Eric Bardinet
- Institut du Cerveau et de le Moelle Epinière, ICM, INSERM U1127, CNRS UMR7225, Sorbonne Universitë, Paris, France
| | - Luc Defebvre
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
| | - Jean-Christophe Corvol
- Dëpartement de Neurologie, Hôpital Pitië-Salpêtrière, AP-HP, Paris, France; NS-Park French Network
- Facultë de Mëdecine de Sorbonne Universitë, UMR S 1127, INSERM U 1127, and CNRS UMR 7225, and Institut du Cerveau et de la Moëlle Epinière, Paris, France; NS-Park French Network
| | - David Devos
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
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7
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Gaeta M, Cavallaro M, Vinci SL, Mormina E, Blandino A, Marino MA, Granata F, Tessitore A, Galletta K, D'Angelo T, Visalli C. Magnetism of materials: theory and practice in magnetic resonance imaging. Insights Imaging 2021; 12:179. [PMID: 34862955 PMCID: PMC8643382 DOI: 10.1186/s13244-021-01125-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/08/2021] [Indexed: 02/03/2023] Open
Abstract
All substances exert magnetic properties in some extent when placed in an external magnetic field. Magnetic susceptibility represents a measure of the magnitude of magnetization of a certain substance when the external magnetic field is applied. Depending on the tendency to be repelled or attracted by the magnetic field and in the latter case on the magnitude of this effect, materials can be classified as diamagnetic or paramagnetic, superparamagnetic and ferromagnetic, respectively. Knowledge of type and extent of susceptibility of common endogenous and exogenous substances and how their magnetic properties affect the conventional sequences used in magnetic resonance imaging (MRI) can help recognize them and exalt or minimize their presence in the acquired images, so as to improve diagnosis in a wide variety of benign and malignant diseases. Furthermore, in the context of diamagnetic susceptibility, chemical shift imaging enables to assess the intra-voxel ratio between water and fat content, analyzing the tissue composition of various organs and allowing a precise fat quantification. The following article reviews the fundamental physical principles of magnetic susceptibility and examines the magnetic properties of the principal endogenous and exogenous substances of interest in MRI, providing potential through representative cases for improved diagnosis in daily clinical routine.
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Affiliation(s)
- Michele Gaeta
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Marco Cavallaro
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Sergio Lucio Vinci
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Enricomaria Mormina
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy.
| | - Alfredo Blandino
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Maria Adele Marino
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Francesca Granata
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Agostino Tessitore
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Karol Galletta
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Carmela Visalli
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
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8
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Post MR, Sulzer D. The chemical tools for imaging dopamine release. Cell Chem Biol 2021; 28:748-764. [PMID: 33894160 PMCID: PMC8532025 DOI: 10.1016/j.chembiol.2021.04.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/23/2021] [Accepted: 04/06/2021] [Indexed: 02/07/2023]
Abstract
Dopamine is a modulatory neurotransmitter involved in learning, motor functions, and reward. Many neuropsychiatric disorders, including Parkinson's disease, autism, and schizophrenia, are associated with imbalances or dysfunction in the dopaminergic system. Yet, our understanding of these pervasive public health issues is limited by our ability to effectively image dopamine in humans, which has long been a goal for chemists and neuroscientists. The last two decades have witnessed the development of many molecules used to trace dopamine. We review the small molecules, nanoparticles, and protein sensors used with fluorescent microscopy/photometry, MRI, and PET that shape dopamine research today. None of these tools observe dopamine itself, but instead harness the biology of the dopamine system-its synthetic and metabolic pathways, synaptic vesicle cycle, and receptors-in elegant ways. Their advantages and weaknesses are covered here, along with recent examples and the chemistry and biology that allow them to function.
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Affiliation(s)
- Michael R Post
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, USA.
| | - David Sulzer
- Departments of Psychiatry, Neurology, and Pharmacology, Columbia University Medical Center, New York, NY, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, USA.
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9
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Guinea-Izquierdo A, Giménez M, Martínez-Zalacaín I, Del Cerro I, Canal-Noguer P, Blasco G, Gascón J, Reñé R, Rico I, Camins A, Aguilera C, Urretavizcaya M, Ferrer I, Menchón JM, Soria V, Soriano-Mas C. Lower Locus Coeruleus MRI intensity in patients with late-life major depression. PeerJ 2021; 9:e10828. [PMID: 33628639 PMCID: PMC7894108 DOI: 10.7717/peerj.10828] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 01/04/2021] [Indexed: 11/24/2022] Open
Abstract
Background The locus coeruleus (LC) is the major noradrenergic source in the central nervous system. Structural alterations in the LC contribute to the pathophysiology of different neuropsychiatric disorders, which may increase to a variable extent the likelihood of developing neurodegenerative conditions. The characterization of such alterations may therefore help to predict progression to neurodegenerative disorders. Despite the LC cannot be visualized with conventional magnetic resonance imaging (MRI), specific MRI sequences have been developed to infer its structural integrity. Methods We quantified LC signal Contrast Ratios (LCCRs) in late-life major depressive disorder (MDD) (n = 37, 9 with comorbid aMCI), amnestic Mild Cognitive Impairment (aMCI) (n = 21, without comorbid MDD), and healthy controls (HCs) (n = 31), and also assessed the putative modulatory effects of comorbidities and other clinical variables. Results LCCRs were lower in MDD compared to aMCI and HCs. While no effects of aMCI comorbidity were observed, lower LCCRs were specifically observed in patients taking serotonin/norepinephrine reuptake inhibitors (SNRIs). Conclusion Our results do not support the hypothesis that lower LCCRs characterize the different clinical groups that may eventually develop a neurodegenerative disorder. Conversely, our results were specifically observed in patients with late-life MDD taking SNRIs. Further research with larger samples is warranted to ascertain whether medication or particular clinical features of patients taking SNRIs are associated with changes in LC neurons.
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Affiliation(s)
- Andrés Guinea-Izquierdo
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain
| | - Mónica Giménez
- Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain
| | - Ignacio Martínez-Zalacaín
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain
| | - Inés Del Cerro
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Mental Health (CIBERSAM), Madrid, Spain
| | - Pol Canal-Noguer
- B2SLab/Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain.,Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.,Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu, Esplugues de Llobregat (Barcelona), Spain
| | - Gerard Blasco
- Imaging Diagnostic Institute (IDI), Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Jordi Gascón
- Dementia Diagnostic and Treatment Unit/Department of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Ramon Reñé
- Dementia Diagnostic and Treatment Unit/Department of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Inmaculada Rico
- Dementia Diagnostic and Treatment Unit/Department of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Angels Camins
- Imaging Diagnostic Institute (IDI), Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Carlos Aguilera
- Imaging Diagnostic Institute (IDI), Bellvitge University Hospital, Hospitalet de Llobregat (Barcelona), Spain
| | - Mikel Urretavizcaya
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Mental Health (CIBERSAM), Madrid, Spain
| | - Isidre Ferrer
- Department of Pathology and Experimental Therapeutics/Institute of Neurosciences, University of Barcelona, Hospitalet de Llobregat (Barcelona), Spain.,Department of Pathologic Anatomy/Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Neurodegenerative diseases (CIBERNED), Madrid, Spain
| | - José Manuel Menchón
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Mental Health (CIBERSAM), Madrid, Spain
| | - Virginia Soria
- Department of Clinical Sciences/School of Medicine, University of Barcelona, Barcelona, Spain.,Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Mental Health (CIBERSAM), Madrid, Spain
| | - Carles Soriano-Mas
- Department of Psychiatry/Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat (Barcelona), Spain.,Network Center for Biomedical Research on Mental Health (CIBERSAM), Madrid, Spain.,Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain
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10
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Liu XL, Yang LQ, Liu FT, Wu PY, Zhang Y, Zhuang H, Shi YH, Wang J, Geng DY, Li YX. Short-echo-time magnitude image derived from quantitative susceptibility mapping could resemble neuromelanin-sensitive MRI image in substantia nigra. BMC Neurol 2020; 20:262. [PMID: 32605601 PMCID: PMC7325114 DOI: 10.1186/s12883-020-01828-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/11/2020] [Indexed: 11/12/2022] Open
Abstract
Background In this study, we explored whether the proposed short-echo-time magnitude (setMag) image derived from quantitative susceptibility mapping (QSM) could resemble NM-MRI image in substantia nigra (SN), by quantitatively comparing the spatial similarity and diagnosis performances for Parkinson’s disease (PD). Methods QSM and NM-MRI were performed in 18 PD patients and 15 healthy controls (HCs). The setMag images were calculated using the short-echo-time magnitude images. Bilateral hyperintensity areas of SN (SNhyper) were manually segmented on setMag and NM-MRI images by two raters in a blinded manner. The inter-rater reliability was evaluated by the intraclass correlation coefficients (ICC) and the Dice similarity coefficient (DSC). Then the inter-modality (i.e. setMag and NM-MRI) spatial similarity was quantitatively assessed using DSC and volume of the consensual voxels identified by both of two raters. The performances of mean SNhyper volume for PD diagnosis on setMag and NM-MRI images were evaluated using receiver operating characteristic (ROC) analysis. Results The SNhyper segmented by two raters showed substantial to excellent inter-rater reliability for both setMag and NM-MRI images. The DSCs of SNhyper between setMag and NM-MRI images showed substantial to excellent voxel-wise overlap in HCs (0.80 ~ 0.83) and PD (0.73 ~ 0.76), and no significant difference was found between the SNhyper volumes of setMag and NM-MRI images in either HCs or PD (p > 0.05). The mean SNhyper volume was significantly decreased in PD patients in comparison with HCs on both setMag images (77.61 mm3 vs 95.99 mm3, p < 0.0001) and NM-MRI images (79.06 mm3 vs 96.00 mm3, p < 0.0001). Areas under the curve (AUCs) of mean SNhyper volume for PD diagnosis were 0.904 on setMag and 0.906 on NM-MRI images. No significant difference was found between the two curves (p = 0.96). Conclusions SNhyper on setMag derived from QSM demonstrated substantial spatial overlap with that on NM-MRI and provided comparable PD diagnostic performance, providing a new QSM-based multi-contrast imaging strategy for future PD studies.
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Affiliation(s)
- Xue Ling Liu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Li Qin Yang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, 200040, China
| | - Feng Tao Liu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Pu-Yeh Wu
- GE Healthcare China, Beijing, 100176, China
| | - Yong Zhang
- GE Healthcare China, Beijing, 100176, China
| | - Han Zhuang
- Shanghai Key Laboratory of Medical Imaging Computing and Computer-Assisted Intervention, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Yong Hong Shi
- Shanghai Key Laboratory of Medical Imaging Computing and Computer-Assisted Intervention, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Jian Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Dao Ying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
| | - Yu Xin Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
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11
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Vitali P, Pan MI, Palesi F, Germani G, Faggioli A, Anzalone N, Francaviglia P, Minafra B, Zangaglia R, Pacchetti C, Gandini Wheeler-Kingshott CAM. Substantia Nigra Volumetry with 3-T MRI in De Novo and Advanced Parkinson Disease. Radiology 2020; 296:401-410. [PMID: 32544035 DOI: 10.1148/radiol.2020191235] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background Magnetization transfer-prepared T1-weighted MRI can depict a hyperintense subregion of the substantia nigra involved in the degeneration process of Parkinson disease. Purpose To evaluate quantitative measurement of substantia nigra volume by using MRI to support clinical diagnosis and staging of Parkinson disease. Materials and Methods In this prospective study, a high-spatial-resolution magnetization transfer-prepared T1-weighted volumetric sequence was performed with a 3-T MRI machine between January 2014 and October 2015 for participants with de novo Parkinson disease, advanced Parkinson disease, and healthy control participants. A reproducible semiautomatic quantification analysis method that entailed mesencephalic intensity as an internal reference was used for hyperintense substantia nigra volumetry normalized to intracranial volume. A general linear model with age and sex as covariates was used to compare the three groups. Results Eighty participants were evaluated: 20 healthy control participants (mean age ± standard deviation, 56 years ± 11; 11 women), 29 participants with de novo Parkinson disease (64 years ± 10; 19 men), and 31 participants with advanced Parkinson disease (60 years ± 9; 16 women). Volumetric measurement of hyperintense substantia nigra from magnetization transfer-prepared T1-weighted MRI helped differentiate healthy control participants from participants with advanced Parkinson disease (mean difference for ipsilateral side, 64 mm3 ± 14, P < .001; mean difference for contralateral side, 109 mm3 ± 14, P < .001) and helped distinguish healthy control participants from participants with de novo Parkinson disease (mean difference for ipsilateral side, 45 mm3 ± 15, P < .01; mean difference for contralateral side, 66 mm3 ± 15, P < .001) and participants with de novo Parkinson disease from those with advanced Parkinson disease (mean difference for ipsilateral side, 20 mm3 ± 13, P = .40; mean difference for contralateral side, 43 mm3 ± 13, P = .004). Conclusion Magnetization transfer-prepared T1-weighted MRI volumetry of the substantia nigra helped differentiate the stages of Parkinson disease. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Paolo Vitali
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Marina I Pan
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Fulvia Palesi
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Giancarlo Germani
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Arianna Faggioli
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Nicoletta Anzalone
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Pietro Francaviglia
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Brigida Minafra
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Roberta Zangaglia
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Claudio Pacchetti
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
| | - Claudia A M Gandini Wheeler-Kingshott
- From the Department of Neuroradiology, Brain MRI 3T Research Center (P.V., G.G., A.F., C.A.M.G.W.), Brain Connectivity Centre (F.P.), and Parkinson's Disease and Movement Disorders Unit (B.M., R.Z., C.P.), IRCCS Mondino Foundation, Pavia, Italy; Departments of Neurology (M.I.P.) and Brain and Behavioural Sciences (F.P., C.A.M.G.W.), University of Pavia, Pavia, Italy; Neuroradiology Unit, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy (N.A.); Department of Radiology, Acqui Terme Hospital, Acqui Terme, Italy (P.F.); and NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, England (C.A.M.G.W.)
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12
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Trujillo P, Petersen KJ, Cronin MJ, Lin YC, Kang H, Donahue MJ, Smith SA, Claassen DO. Quantitative magnetization transfer imaging of the human locus coeruleus. Neuroimage 2019; 200:191-198. [PMID: 31233908 PMCID: PMC6934172 DOI: 10.1016/j.neuroimage.2019.06.049] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/17/2019] [Accepted: 06/19/2019] [Indexed: 12/14/2022] Open
Abstract
The locus coeruleus (LC) is the major origin of norepinephrine in the central nervous system, and is subject to age-related and neurodegenerative changes, especially in disorders such as Parkinson's disease and Alzheimer's disease. Previous studies have shown that neuromelanin (NM)-sensitive MRI can be used to visualize the LC, and it is hypothesized that magnetization transfer (MT) effects are the primary source of LC contrast. The aim of this study was to characterize the MT effects in LC imaging by applying high spatial resolution quantitative MT (qMT) imaging to create parametric maps of the macromolecular content of the LC and surrounding tissues. Healthy volunteers (n = 26; sex = 17 F/9M; age = 41.0 ± 19.1 years) underwent brain MRI on a 3.0 T scanner. qMT data were acquired using a 3D MT-prepared spoiled gradient echo sequence. A traditional NM scan consisting of a T1-weighted turbo spin echo sequence with MT preparation was also acquired. The pool-size ratio (PSR) was estimated for each voxel using a single-point qMT approach. The LC was semi-automatically segmented on the MT-weighted images. The MT-weighted images provided higher contrast-ratio between the LC and surrounding pontine tegmentum (PT) (0.215 ± 0.031) than the reference images without MT-preparation (-0.005 ± 0.026) and the traditional NM images (0.138 ± 0.044). The PSR maps showed significant differences between the LC (0.090 ± 0.009) and PT (0.188 ± 0.025). The largest difference between the PSR values in the LC and PT was observed in the central slices, which also correspond to those with the highest contrast-ratio. These results highlight the role of MT in generating NM-related contrast in the LC, and should serve as a foundation for future studies aiming to quantify pathological changes in the LC and surrounding structures in vivo.
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Affiliation(s)
- Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Kalen J Petersen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew J Cronin
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J Donahue
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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13
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Cassidy CM, Zucca FA, Girgis RR, Baker SC, Weinstein JJ, Sharp ME, Bellei C, Valmadre A, Vanegas N, Kegeles LS, Brucato G, Kang UJ, Sulzer D, Zecca L, Abi-Dargham A, Horga G. Neuromelanin-sensitive MRI as a noninvasive proxy measure of dopamine function in the human brain. Proc Natl Acad Sci U S A 2019; 116:5108-5117. [PMID: 30796187 PMCID: PMC6421437 DOI: 10.1073/pnas.1807983116] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Neuromelanin-sensitive MRI (NM-MRI) purports to detect the content of neuromelanin (NM), a product of dopamine metabolism that accumulates with age in dopamine neurons of the substantia nigra (SN). Interindividual variability in dopamine function may result in varying levels of NM accumulation in the SN; however, the ability of NM-MRI to measure dopamine function in nonneurodegenerative conditions has not been established. Here, we validated that NM-MRI signal intensity in postmortem midbrain specimens correlated with regional NM concentration even in the absence of neurodegeneration, a prerequisite for its use as a proxy for dopamine function. We then validated a voxelwise NM-MRI approach with sufficient anatomical sensitivity to resolve SN subregions. Using this approach and a multimodal dataset of molecular PET and fMRI data, we further showed the NM-MRI signal was related to both dopamine release in the dorsal striatum and resting blood flow within the SN. These results suggest that NM-MRI signal in the SN is a proxy for function of dopamine neurons in the nigrostriatal pathway. As a proof of concept for its clinical utility, we show that the NM-MRI signal correlated to severity of psychosis in schizophrenia and individuals at risk for schizophrenia, consistent with the well-established dysfunction of the nigrostriatal pathway in psychosis. Our results indicate that noninvasive NM-MRI is a promising tool that could have diverse research and clinical applications to investigate in vivo the role of dopamine in neuropsychiatric illness.
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Affiliation(s)
- Clifford M Cassidy
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032;
- University of Ottawa Institute of Mental Health Research, affiliated with The Royal, Ottawa, ON K1Z 8N3, Canada
| | - Fabio A Zucca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20090 Milan, Italy
| | - Ragy R Girgis
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
| | - Seth C Baker
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
| | - Jodi J Weinstein
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
- Department of Psychiatry, Stony Brook University, Stony Brook, NY 11794
| | - Madeleine E Sharp
- Department of Neurology, Columbia University Medical Center, New York, NY 10032
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Chiara Bellei
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20090 Milan, Italy
| | - Alice Valmadre
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20090 Milan, Italy
| | - Nora Vanegas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032
| | - Lawrence S Kegeles
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
| | - Gary Brucato
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
| | - Un Jung Kang
- Department of Neurology, Columbia University Medical Center, New York, NY 10032
| | - David Sulzer
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
- Department of Neurology, Columbia University Medical Center, New York, NY 10032
| | - Luigi Zecca
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20090 Milan, Italy
| | - Anissa Abi-Dargham
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032
- Department of Psychiatry, Stony Brook University, Stony Brook, NY 11794
| | - Guillermo Horga
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY 10032;
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14
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Xing Y, Sapuan A, Dineen RA, Auer DP. Life span pigmentation changes of the substantia nigra detected by neuromelanin-sensitive MRI. Mov Disord 2018; 33:1792-1799. [PMID: 30423212 PMCID: PMC6659388 DOI: 10.1002/mds.27502] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/12/2018] [Accepted: 08/08/2018] [Indexed: 12/28/2022] Open
Abstract
Background: Neuromelanin is a pigment with strong iron‐chelating properties preferentially found in dopaminergic neurons of the substantia nigra pars compacta (SNpc). Parkinson's disease is characterized by pronounced, MRI‐detectable neuromelanin loss, but the neuroprotective or neurotoxic role of neuromelanin remains debated. Histological studies have demonstrated neuromelanin increases with age, but this has not been confirmed in vivo, and there is uncertainty whether neuromelanin declines, stabilizes, or increases from middle age. Methods: This study aimed to establish physiological changes of pigmentation of the SNpc using a pooled data set of neuromelanin‐sensitive 3T MRI from 134 healthy individuals aged 5‐83 years. Neuromelanin‐related brightness (regional contrast to ratio) and calibrated hyperintense volumes were analyzed using linear and nonlinear regression models to characterize age effects. Laterality, sex, and subregional effects were also assessed. Results: For brightness, age effects were best described as a quadratic trajectory explaining 81.5% of the observed variance in the SNpc showing a strong increase from childhood to adolescence, with plateauing in middle age and a decline in older age. Similar but less pronounced effects were seen in hyperintense volumes. We also show an anterior‐posterior gradient in SNpc contrast, larger normalized neuromelanin‐rich volume in women > 47 years old, but no laterality effect. Conclusions: Using optimized neuromelanin MRI in a life span sample, we demonstrate a strong age effect with inverted U‐shaped SNpc pigmentation‐related contrast from childhood to old age. This age trajectory of physiological SNpc pigmentation needs to be taken into account for diagnostic applications of depigmentation. The study also paves the way for systematic investigations of the mechanisms of neuromelanin in healthy and pathological brain development and aging. © 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)
- Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Abdul Sapuan
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Rob A Dineen
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.,Nottingham NIHR Biomedical Research Centre, Nottingham, UK
| | - Dorothee P Auer
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.,Nottingham NIHR Biomedical Research Centre, Nottingham, UK
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15
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Pyatigorskaya N, Magnin B, Mongin M, Yahia-Cherif L, Valabregue R, Arnaldi D, Ewenczyk C, Poupon C, Vidailhet M, Lehéricy S. Comparative Study of MRI Biomarkers in the Substantia Nigra to Discriminate Idiopathic Parkinson Disease. AJNR Am J Neuroradiol 2018; 39:1460-1467. [PMID: 29954816 DOI: 10.3174/ajnr.a5702] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 04/29/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND PURPOSE Several new MR imaging techniques have shown promising results in patients with Parkinson disease; however, the comparative diagnostic values of these measures at the individual level remain unclear. Our aim was to compare the diagnostic value of MR imaging biomarkers of substantia nigra damage for distinguishing patients with Parkinson disease from healthy volunteers. MATERIALS AND METHODS Thirty-six patients and 20 healthy volunteers were prospectively included. The MR imaging protocol at 3T included 3D T2-weighted and T1-weighted neuromelanin-sensitive images, diffusion tensor images, and R2* mapping. T2* high-resolution images were also acquired at 7T to evaluate the dorsal nigral hyperintensity sign. Quantitative analysis was performed using ROIs in the substantia nigra drawn manually around the area of high signal intensity on neuromelanin-sensitive images and T2-weighted images. Visual analysis of the substantia nigra neuromelanin-sensitive signal intensity and the dorsolateral nigral hyperintensity on T2* images was performed. RESULTS There was a significant decrease in the neuromelanin-sensitive volume and signal intensity in patients with Parkinson disease. There was also a significant decrease in fractional anisotropy and an increase in mean, axial, and radial diffusivity in the neuromelanin-sensitive substantia nigra at 3T and a decrease in substantia nigra volume on T2* images. The combination of substantia nigra volume, signal intensity, and fractional anisotropy in the neuromelanin-sensitive substantia nigra allowed excellent diagnostic accuracy (0.93). Visual assessment of both substantia nigra dorsolateral hyperintensity and neuromelanin-sensitive images had good diagnostic accuracy (0.91 and 0.86, respectively). CONCLUSIONS The combination of neuromelanin signal and volume changes with fractional anisotropy measurements in the substantia nigra showed excellent diagnostic accuracy. Moreover, the high diagnostic accuracy of visual assessment of substantia nigra changes using dorsolateral hyperintensity analysis or neuromelanin-sensitive signal changes indicates that these techniques are promising for clinical practice.
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Affiliation(s)
- N Pyatigorskaya
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France .,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France.,Service de neuroradiologie (N.P., B.M., S.L.)
| | - B Magnin
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France.,Service de neuroradiologie (N.P., B.M., S.L.)
| | - M Mongin
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France
| | - L Yahia-Cherif
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France
| | - R Valabregue
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France
| | - D Arnaldi
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,Clinical Neurology (D.A.), Department of Neuroscience, University of Genoa, Genoa, Italy.,Centre d'Investigation Clinique (D.A., M.V.), Hôpital Pitié-Salpêtrière, Paris, France
| | - C Ewenczyk
- Département des Maladies du Système Nerveux (C.E., M.V.), Clinique des mouvements anormaux, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Paris, France
| | - C Poupon
- NeuroSpin (C.P.), Commissariat à l'Energie Atomique, Gif-Sur-Yvette, France
| | - M Vidailhet
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France.,Département des Maladies du Système Nerveux (C.E., M.V.), Clinique des mouvements anormaux, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Paris, France.,Centre d'Investigation Clinique (D.A., M.V.), Hôpital Pitié-Salpêtrière, Paris, France
| | - S Lehéricy
- From the Institut du Cerveau et de la Moelle épinière (N.P., B.M., M.M., L.Y.-C., R.V., D.A., M.V., S.L.), Centre de NeuroImagerie de Recherche, Paris, France.,UMR S 1127, CNRS UMR 7225 (N.P., B.M., M.M., L.Y.-C., M.V., S.L.), Sorbonne University, Paris, France.,Service de neuroradiologie (N.P., B.M., S.L.)
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16
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Peterson AC, Li CSR. Noradrenergic Dysfunction in Alzheimer's and Parkinson's Diseases-An Overview of Imaging Studies. Front Aging Neurosci 2018; 10:127. [PMID: 29765316 PMCID: PMC5938376 DOI: 10.3389/fnagi.2018.00127] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/16/2018] [Indexed: 12/31/2022] Open
Abstract
Noradrenergic dysfunction contributes to cognitive impairment in Alzheimer's Disease (AD) and Parkinson's Disease (PD). Conventional therapeutic strategies seek to enhance cholinergic and dopaminergic neurotransmission in AD and PD, respectively, and few studies have examined noradrenergic dysfunction as a target for medication development. We review the literature of noradrenergic dysfunction in AD and PD with a focus on human imaging studies that implicate the locus coeruleus (LC) circuit. The LC sends noradrenergic projections diffusely throughout the cerebral cortex and plays a critical role in attention, learning, working memory, and cognitive control. The LC undergoes considerable degeneration in both AD and PD. Advances in magnetic resonance imaging have facilitated greater understanding of how structural and functional alteration of the LC may contribute to cognitive decline in AD and PD. We discuss the potential roles of the noradrenergic system in the pathogenesis of AD and PD with an emphasis on postmortem anatomical studies, structural MRI studies, and functional MRI studies, where we highlight changes in LC connectivity with the default mode network (DMN). LC degeneration may accompany deficient capacity in suppressing DMN activity and increasing saliency and task control network activities to meet behavioral challenges. We finish by proposing potential and new directions of research to address noradrenergic dysfunction in AD and PD.
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Affiliation(s)
- Andrew C Peterson
- Frank H. Netter MD School of Medicine, Quinnipiac University, North Haven, CT, United States.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, United States
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17
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Sulzer D, Cassidy C, Horga G, Kang UJ, Fahn S, Casella L, Pezzoli G, Langley J, Hu XP, Zucca FA, Isaias IU, Zecca L. Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson's disease. NPJ PARKINSONS DISEASE 2018; 4:11. [PMID: 29644335 PMCID: PMC5893576 DOI: 10.1038/s41531-018-0047-3] [Citation(s) in RCA: 146] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 03/05/2018] [Accepted: 03/08/2018] [Indexed: 11/10/2022]
Abstract
The diagnosis of Parkinson’s disease (PD) occurs after pathogenesis is advanced and many substantia nigra (SN) dopamine neurons have already died. Now that therapies to block this neuronal loss are under development, it is imperative that the disease be diagnosed at earlier stages and that the response to therapies is monitored. Recent studies suggest this can be accomplished by magnetic resonance imaging (MRI) detection of neuromelanin (NM), the characteristic pigment of SN dopaminergic, and locus coeruleus (LC) noradrenergic neurons. NM is an autophagic product synthesized via oxidation of catecholamines and subsequent reactions, and in the SN and LC it increases linearly during normal aging. In PD, however, the pigment is lost when SN and LC neurons die. As shown nearly 25 years ago by Zecca and colleagues, NM’s avid binding of iron provides a paramagnetic source to enable electron and nuclear magnetic resonance detection, and thus a means for safe and noninvasive measure in living human brain. Recent technical improvements now provide a means for MRI to differentiate between PD patients and age-matched healthy controls, and should be able to identify changes in SN NM with age in individuals. We discuss how MRI detects NM and how this approach might be improved. We suggest that MRI of NM can be used to confirm PD diagnosis and monitor disease progression. We recommend that for subjects at risk for PD, and perhaps generally for older people, that MRI sequences performed at regular intervals can provide a pre-clinical means to detect presymptomatic PD.
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Affiliation(s)
- David Sulzer
- 1Department of Psychiatry, Columbia University Medical Center , New York State Psychiatric Institute, New York, NY USA.,2Department of Neurology, Columbia University Medical Center, New York, NY USA.,3Department of Pharmacology, Columbia University Medical Center, New York, NY USA
| | - Clifford Cassidy
- 4The Royal's Institute of Mental Health Research, Affiliated with the University of Ottawa, Ottawa, ON Canada
| | - Guillermo Horga
- 1Department of Psychiatry, Columbia University Medical Center , New York State Psychiatric Institute, New York, NY USA
| | - Un Jung Kang
- 2Department of Neurology, Columbia University Medical Center, New York, NY USA
| | - Stanley Fahn
- 2Department of Neurology, Columbia University Medical Center, New York, NY USA
| | - Luigi Casella
- 5Department of Chemistry, University of Pavia, Pavia, Italy
| | - Gianni Pezzoli
- Parkinson Institute, ASST "Gaetano Pini-CTO", Milan, Italy
| | - Jason Langley
- 7Center for Advanced NeuroImaging, University of California Riverside, Riverside, CA USA
| | - Xiaoping P Hu
- 8Department of Bioengineering, University of California Riverside, Riverside, CA USA
| | - Fabio A Zucca
- 9Institute of Biomedical Technologies, National Research Council of Italy, Milan, Italy
| | - Ioannis U Isaias
- Department of Neurology, University Hospital and Julius-Maximillian-University, Wuerzburg, Germany
| | - Luigi Zecca
- 9Institute of Biomedical Technologies, National Research Council of Italy, Milan, Italy
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18
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Trujillo P, Summers PE, Ferrari E, Zucca FA, Sturini M, Mainardi LT, Cerutti S, Smith AK, Smith SA, Zecca L, Costa A. Contrast mechanisms associated with neuromelanin-MRI. Magn Reson Med 2016; 78:1790-1800. [DOI: 10.1002/mrm.26584] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 10/28/2016] [Accepted: 11/23/2016] [Indexed: 01/03/2023]
Affiliation(s)
- Paula Trujillo
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Paul E. Summers
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
| | - Emanuele Ferrari
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | - Fabio A. Zucca
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | | | - Luca T. Mainardi
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Sergio Cerutti
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Alex K. Smith
- Vanderbilt University Institute of Imaging Science; Vanderbilt University; Nashville Tennessee USA
- Department of Biomedical Engineering; Vanderbilt University; Nashville Tennessee USA
| | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science; Vanderbilt University; Nashville Tennessee USA
- Department of Biomedical Engineering; Vanderbilt University; Nashville Tennessee USA
- Department of Radiology and Radiological Sciences; Vanderbilt University; Nashville Tennessee USA
| | - Luigi Zecca
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | - Antonella Costa
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
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Moon WJ, Park JY, Yun WS, Jeon JY, Moon YS, Kim H, Kwak KC, Lee JM, Han SH. A Comparison of Substantia Nigra T1 Hyperintensity in Parkinson's Disease Dementia, Alzheimer's Disease and Age-Matched Controls: Volumetric Analysis of Neuromelanin Imaging. Korean J Radiol 2016; 17:633-40. [PMID: 27587951 PMCID: PMC5007389 DOI: 10.3348/kjr.2016.17.5.633] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Accepted: 04/27/2016] [Indexed: 11/24/2022] Open
Abstract
Objective Neuromelanin loss of substantia nigra (SN) can be visualized as a T1 signal reduction on T1-weighted high-resolution imaging. We investigated whether volumetric analysis of T1 hyperintensity for SN could be used to differentiate between Parkinson's disease dementia (PDD), Alzheimer's disease (AD) and age-matched controls. Materials and Methods This retrospective study enrolled 10 patients with PDD, 18 patients with AD, and 13 age-matched healthy elderly controls. MR imaging was performed at 3 tesla. To measure the T1 hyperintense area of SN, we obtained an axial thin section high-resolution T1-weighted fast spin echo sequence. The volumes of interest for the T1 hyperintense SN were drawn onto heavily T1-weighted FSE sequences through midbrain level, using the MIPAV software. The measurement differences were tested using the Kruskal-Wallis test followed by a post hoc comparison. Results A comparison of the three groups showed significant differences in terms of volume of T1 hyperintensity (p < 0.001, Bonferroni corrected). The volume of T1 hyperintensity was significantly lower in PDD than in AD and normal controls (p < 0.005, Bonferroni corrected). However, the volume of T1 hyperintensity was not different between AD and normal controls (p = 0.136, Bonferroni corrected). Conclusion The volumetric measurement of the T1 hyperintensity of SN can be an imaging marker for evaluating neuromelanin loss in neurodegenerative diseases and a differential in PDD and AD cases.
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Affiliation(s)
- Won-Jin Moon
- Department of Radiology, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Ju-Yeon Park
- Department of Radiology, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Won-Sung Yun
- Department of Radiology, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Ji Yeong Jeon
- Department of Radiology, Konkuk University School of Medicine, Seoul 05030, Korea.; Department of Radiology, Asan Medical Center, Seoul 05505, Korea
| | - Yeon Sil Moon
- Department of Neurology, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Heejin Kim
- Department of Neurology, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Ki-Chang Kwak
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Seol-Heui Han
- Department of Neurology, Konkuk University School of Medicine, Seoul 05030, Korea
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Clewett DV, Lee TH, Greening S, Ponzio A, Margalit E, Mather M. Neuromelanin marks the spot: identifying a locus coeruleus biomarker of cognitive reserve in healthy aging. Neurobiol Aging 2016; 37:117-126. [PMID: 26521135 PMCID: PMC5134892 DOI: 10.1016/j.neurobiolaging.2015.09.019] [Citation(s) in RCA: 124] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Revised: 09/18/2015] [Accepted: 09/23/2015] [Indexed: 12/21/2022]
Abstract
Leading a mentally stimulating life may build up a reserve of neural and mental resources that preserve cognitive abilities in late life. Recent autopsy evidence links neuronal density in the locus coeruleus (LC), the brain's main source of norepinephrine, to slower cognitive decline before death, inspiring the idea that the noradrenergic system is a key component of reserve (Robertson, I. H. 2013. A noradrenergic theory of cognitive reserve: implications for Alzheimer's disease. Neurobiol. Aging. 34, 298-308). Here, we tested this hypothesis using neuromelanin-sensitive magnetic resonance imaging to visualize and measure LC signal intensity in healthy younger and older adults. Established proxies of reserve, including education, occupational attainment, and verbal intelligence, were linearly correlated with LC signal intensity in both age groups. Results indicated that LC signal intensity was significantly higher in older than younger adults and significantly lower in women than in men. Consistent with the LC-reserve hypothesis, both verbal intelligence and a composite reserve score were positively associated with LC signal intensity in older adults. LC signal intensity was also more strongly associated with attentional shifting ability in older adults with lower cognitive reserve. Together these findings link in vivo estimates of LC neuromelanin signal intensity to cognitive reserve in normal aging.
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Affiliation(s)
- David V Clewett
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
| | - Tae-Ho Lee
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Steven Greening
- Department of Psychology, University of Southern California, Los Angeles, CA, USA; Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA; Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
| | - Allison Ponzio
- Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Eshed Margalit
- Dornsife College of Letters and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Mara Mather
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA; Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
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21
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Badve C, Yu A, Rogers M, Ma D, Liu Y, Schluchter M, Sunshine J, Griswold M, Gulani V. Simultaneous T 1 and T 2 Brain Relaxometry in Asymptomatic Volunteers using Magnetic Resonance Fingerprinting. ACTA ACUST UNITED AC 2015; 1:136-144. [PMID: 26824078 PMCID: PMC4727840 DOI: 10.18383/j.tom.2015.00166] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Magnetic resonance fingerprinting (MRF) is an imaging tool that produces multiple magnetic resonance imaging parametric maps from a single scan. Herein we describe the normal range and progression of MRF-derived relaxometry values with age in healthy individuals. In total, 56 normal volunteers (24 men and 32 women) aged 11-71 years were scanned. Regions of interest were drawn on T1 and T2 maps in 38 areas, including lobar and deep white matter (WM), deep gray nuclei, thalami, and posterior fossa structures. Relaxometry differences were assessed using a forward stepwise selection of a baseline model that included either sex, age, or both, where variables were included if they contributed significantly (P < .05). In addition, differences in regional anatomy, including comparisons between hemispheres and between anatomical subcomponents, were assessed by paired t tests. MRF-derived T1 and T2 in frontal WM regions increased with age, whereas occipital and temporal regions remained relatively stable. Deep gray nuclei such as substantia nigra, were found to have age-related decreases in relaxometry. Differences in sex were observed in T1 and T2 of temporal regions, the cerebellum, and pons. Men were found to have more rapid age-related changes in frontal and parietal WM. Regional differences were identified between hemispheres, between the genu and splenium of the corpus callosum, and between posteromedial and anterolateral thalami. In conclusion, MRF quantification measures relaxometry trends in healthy individuals that are in agreement with the current understanding of neurobiology and has the ability to uncover additional patterns that have not yet been explored.
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Affiliation(s)
- Chaitra Badve
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Alice Yu
- School of Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Matthew Rogers
- School of Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Dan Ma
- Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Yiying Liu
- Biostatistics and Bioinformatics Core, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Mark Schluchter
- Biostatistics and Bioinformatics Core, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Jeffrey Sunshine
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Mark Griswold
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA; Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA
| | - Vikas Gulani
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA; Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA
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22
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Trujillo P, Smith AK, Summers PE, Mainardi LM, Cerutti S, Smith SA, Costa A. High-resolution quantitative imaging of the substantia nigra. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2015; 2015:5428-5431. [PMID: 26737519 DOI: 10.1109/embc.2015.7319619] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
There is a growing interest in identifying neuroimaging-based biomarkers for Parkinson's disease (PD), a progressive neurodegenerative disorder in which the major pathologic substrate is the loss of pigmented dopaminergic neurons in the substantia nigra (SN). Recently, an MRI technique dubbed "neuromelanin-sensitive MRI" (NM-MRI), has been found to provide notable contrast between the SN and surrounding brain tissues with potential applications as biomarker of PD. The contrast in NM-MRI has been associated with magnetization transfer (MT) effects, and thus the goal of this study was to characterize the impact of MT on NM-MRI, and to demonstrate the feasibility of performing quantitative MT (qMT) imaging in human SN. The results of this study demonstrate that high-resolution rapid qMT imaging of the SN can be reliably obtained within reasonable scan times, thereby can be translatable into clinical practice.
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23
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Reimão S, Pita Lobo P, Neutel D, Correia Guedes L, Coelho M, Rosa MM, Ferreira J, Abreu D, Gonçalves N, Morgado C, Nunes RG, Campos J, Ferreira JJ. Substantia nigra neuromelanin magnetic resonance imaging in de novo Parkinson's disease patients. Eur J Neurol 2014; 22:540-6. [PMID: 25534480 DOI: 10.1111/ene.12613] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2014] [Accepted: 10/07/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND Depigmentation of the substantia nigra (SN) and locus coeruleus (LC) is a conspicuous pathological feature of Parkinson's disease (PD) and is related to the loss of neuromelanin, whose paramagnetic properties result in high signal on specific T1-weighted magnetic resonance imaging (MRI). Recent studies have suggested that neuromelanin decrease in the SN and LC of PD patients may emerge as a possible diagnostic biomarker. The SN neuromelanin signal in de novo and early stage PD patients was studied to assess its diagnostic accuracy. This is the first study based on a semi-automated MRI analysis of the neuromelanin signal in de novo PD patients. METHODS The inclusion criteria were untreated de novo PD and a 2-5 year disease duration; in addition, age matched healthy controls were enrolled. These were studied with a high-resolution T1-weighted MRI sequence at 3 T to visualize neuromelanin. The primary outcome was SN high signal area, length and neuromelanin/midbrain ratio obtained with semi-automated methods. RESULTS A total of 12 de novo PD patients and 10 PD patients with a 2-5 year disease duration were evaluated. The area, length of the SN T1 high signal and the SN neuromelanin/midbrain ratio were markedly decreased in the PD groups compared with age-matched controls, with a substantial overlap between the two PD groups. CONCLUSIONS Neuromelanin-sensitive MRI techniques can discriminate PD patients from healthy individuals with high sensitivity and specificity. Our findings are consistent with recent findings showing that PD neuromelanin changes remain stable during the course of the disease.
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Affiliation(s)
- S Reimão
- Neurological Imaging Department, Hospital de Santa Maria - Centro Hospitalar Lisboa Norte, Lisbon, Portugal; Clinical Pharmacology Unit, Instituto de Medicina Molecular, Lisbon, Portugal
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Finlay CJ, Duty S, Vernon AC. Brain morphometry and the neurobiology of levodopa-induced dyskinesias: current knowledge and future potential for translational pre-clinical neuroimaging studies. Front Neurol 2014; 5:95. [PMID: 24971074 PMCID: PMC4053925 DOI: 10.3389/fneur.2014.00095] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Accepted: 05/29/2014] [Indexed: 11/29/2022] Open
Abstract
Dopamine replacement therapy in the form of levodopa results in a significant proportion of patients with Parkinson’s disease developing debilitating dyskinesia. This significantly complicates further treatment and negatively impacts patient quality of life. A greater understanding of the neurobiological mechanisms underlying levodopa-induced dyskinesia (LID) is therefore crucial to develop new treatments to prevent or mitigate LID. Such investigations in humans are largely confined to assessment of neurochemical and cerebrovascular blood flow changes using positron emission tomography and functional magnetic resonance imaging. However, recent evidence suggests that LID is associated with specific morphological changes in the frontal cortex and midbrain, detectable by structural MRI and voxel-based morphometry. Current human neuroimaging methods however lack sufficient resolution to reveal the biological mechanism driving these morphological changes at the cellular level. In contrast, there is a wealth of literature from well-established rodent models of LID documenting detailed post-mortem cellular and molecular measurements. The combination therefore of advanced neuroimaging methods and rodent LID models offers an exciting opportunity to bridge these currently disparate areas of research. To highlight this opportunity, in this mini-review, we provide an overview of the current clinical evidence for morphological changes in the brain associated with LID and identify potential cellular mechanisms as suggested from human and animal studies. We then suggest a framework for combining small animal MRI imaging with rodent models of LID, which may provide important mechanistic insights into the neurobiology of LID.
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Affiliation(s)
- Clare J Finlay
- Wolfson Centre for Age-related Diseases, King's College London , London , UK
| | - Susan Duty
- Wolfson Centre for Age-related Diseases, King's College London , London , UK
| | - Anthony C Vernon
- Department of Neuroscience, James Black Centre, Institute of Psychiatry, King's College London , London , UK
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25
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Takahashi J, Shibata T, Sasaki M, Kudo M, Yanezawa H, Obara S, Kudo K, Ito K, Yamashita F, Terayama Y. Detection of changes in the locus coeruleus in patients with mild cognitive impairment and Alzheimer's disease: high-resolution fast spin-echo T1-weighted imaging. Geriatr Gerontol Int 2014; 15:334-40. [PMID: 24661561 PMCID: PMC4405055 DOI: 10.1111/ggi.12280] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2014] [Indexed: 11/28/2022]
Abstract
Aim Neuronal degeneration in the locus coeruleus occurs in the early phase of Alzheimer's disease, similar to mild cognitive impairment. The locus coeruleus produces norepinephrine, a deficiency of which causes both memory disturbance and psychological symptoms. Thus, we evaluated signal alterations in the locus coeruleus of patients with Alzheimer's disease and mild cognitive impairment using a high-resolution fast spin-echo T1-weighted imaging. Methods A total of 22 patients with Alzheimer's disease, 47 patients with mild cognitive impairment and 26 healthy controls were prospectively examined by high-resolution fast spin-echo T1-weighted imaging at 3 Tesla. Signal intensities in the locus coeruleus were manually measured and expressed relative to those in the adjacent white matter structures as contrast ratios. Results Locus coeruleus contrast ratios were significantly reduced in patient groups with Alzheimer's disease, mild cognitive impairment that converted to Alzheimer's disease and mild cognitive impairment that did not convert to Alzheimer's disease (1.80–16.09% [median, 9.30%], 3.45–14.84% [median 6.87%] and 3.01–19.19% [median 7.72%], respectively) compared with the healthy control group (6.24–20.94% [median 14.35%]; P < 0.0001). The sensitivity and specificity for discriminating these diseases were 85.0% and 69.2%, respectively, which suggests that this measurement can be carried out reliably. There was no significant difference in the locus coeruleus contrast ratios among the Alzheimer's disease, mild cognitive impairment-converted and mild cognitive impairment-non-converted groups. Conclusions High-resolution fast spin-echo T1-weighted imaging can show signal attenuation in the locus coeruleus of patients with Alzheimer's disease or with mild cognitive impairment whose pathology may or may not eventually convert to Alzheimer's disease. Geriatr Gerontol Int 2015; 15: 334–340.
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Affiliation(s)
- Junko Takahashi
- Department of Neurology and Gerontology, School of Medicine, Iwate Medical University, Morioka, Japan
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Influence of paramagnetic melanin on the MRI contrast in melanoma: a combined high-field (11.7 T) MRI and EPR study. CONTRAST MEDIA & MOLECULAR IMAGING 2014; 9:154-60. [DOI: 10.1002/cmmi.1554] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Revised: 06/06/2013] [Accepted: 06/09/2013] [Indexed: 11/07/2022]
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Ohtsuka C, Sasaki M, Konno K, Koide M, Kato K, Takahashi J, Takahashi S, Kudo K, Yamashita F, Terayama Y. Changes in substantia nigra and locus coeruleus in patients with early-stage Parkinson's disease using neuromelanin-sensitive MR imaging. Neurosci Lett 2013; 541:93-8. [PMID: 23428505 DOI: 10.1016/j.neulet.2013.02.012] [Citation(s) in RCA: 130] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Revised: 01/28/2013] [Accepted: 02/06/2013] [Indexed: 11/25/2022]
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28
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Bolding MS, Reid MA, Avsar KB, Roberts RC, Gamlin PD, Gawne TJ, White DM, den Hollander JA, Lahti AC. Magnetic transfer contrast accurately localizes substantia nigra confirmed by histology. Biol Psychiatry 2013; 73:289-94. [PMID: 22981657 PMCID: PMC3534824 DOI: 10.1016/j.biopsych.2012.07.035] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Revised: 06/13/2012] [Accepted: 07/30/2012] [Indexed: 11/24/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) has multiple contrast mechanisms. Like various staining techniques in histology, each contrast type reveals different information about the structure of the brain. However, it is not always clear how structures visible in MRI correspond to structures previously identified by histology. The purpose of this study was to determine if magnetic transfer contrast (MTC) or T2 contrast MRI was better at delineating the substantia nigra (SN). METHODS MRI scans were acquired in vivo from two nonhuman primates (NHPs). The NHPs were subsequently euthanized, perfused, and their brains sectioned for histologic analyses. Each slice was photographed before sectioning. Each brain was sectioned into approximately 500 sections, 40 μm each, encompassing most of the cortex, midbrain, and dorsal parts of the hindbrain. Levels corresponding to anatomic MRI images were selected. From these, adjacent sections were stained using Kluver-Barrera (myelin and cell bodies) or tyrosine hydroxylase (dopaminergic neurons) immunohistochemistry. The resulting images were coregistered to the block-face images using a moving least squares algorithm with similarity transformations. MR images were similarly coregistered to the block-face images, allowing the structures on MRI to be identified with structures on the histologic images. RESULTS We found that hyperintense (light) areas in MTC images were coextensive with the SN as delineated histologically. The hypointense (dark) areas in T2-weighted images were not coextensive with the SN but extended partially into the SN and partially into the cerebral peduncles. CONCLUSIONS MTC is more accurate than T2-weighting for localizing the SN in vivo.
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Affiliation(s)
| | | | | | | | - Paul D. Gamlin
- Vision Sciences, University of Alabama at Birmingham (UAB)
| | | | | | | | - Adrienne C. Lahti
- Psychiatry and Behavioral Neurobiology, UAB
,Corresponding author. Department of Psychiatry and Behavioral Neurobiology, The University of Alabama at Birmingham, SC 501, 1530 3rd Avenue South, Birmingham, AL 35294-0017, United States. Tel.: +1 205 996 6776; fax: +1 205 975 4879.
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Eapen M, Zald DH, Gatenby JC, Ding Z, Gore JC. Using high-resolution MR imaging at 7T to evaluate the anatomy of the midbrain dopaminergic system. AJNR Am J Neuroradiol 2010; 32:688-94. [PMID: 21183619 DOI: 10.3174/ajnr.a2355] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Dysfunction of DA neurotransmission from the SN and VTA has been implicated in neuropsychiatric diseases, including Parkinson disease and schizophrenia. Unfortunately, these midbrain DA structures are difficult to define on clinical MR imaging. To more precisely evaluate the anatomic architecture of the DA midbrain, we scanned healthy participants with a 7T MR imaging system. Here we contrast the performance of high-resolution T2- and T2*-weighted GRASE and FFE MR imaging scans at 7T. MATERIALS AND METHODS Ten healthy participants were scanned by using GRASE and FFE sequences. CNRs were calculated among the SN, VTA, and RN, and their volumes were estimated by using a segmentation algorithm. RESULTS Both GRASE and FFE scans revealed visible contrast between midbrain DA regions. The GRASE scan showed higher CNRs compared with the FFE scan. The T2* contrast of the FFE scan further delineated substructures and microvasculature within the midbrain SN and RN. Segmentation and volume estimation of the midbrain SN, RN, and VTA showed individual differences in the size and volume of these structures across participants. CONCLUSIONS Both GRASE and FFE provide sufficient CNR to evaluate the anatomy of the midbrain DA system. The FFE in particular reveals vascular details and substructure information within the midbrain regions that could be useful for examining structural changes in midbrain pathologies.
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Affiliation(s)
- M Eapen
- Vanderbilt University Institute of Imaging Science, 1161 21st Ave South, AA 1101, Medical Center North, Nashville, TN 37232-2310, USA.
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30
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Visual discrimination among patients with depression and schizophrenia and healthy individuals using semiquantitative color-coded fast spin-echo T1-weighted magnetic resonance imaging. Neuroradiology 2009; 52:83-9. [DOI: 10.1007/s00234-009-0595-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2009] [Accepted: 08/27/2009] [Indexed: 11/26/2022]
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Monoamine neurons in the human brain stem: anatomy, magnetic resonance imaging findings, and clinical implications. Neuroreport 2008; 19:1649-54. [PMID: 18852680 DOI: 10.1097/wnr.0b013e328315a637] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
By using high-resolution, conventional, and neuromelanin-sensitive magnetic resonance imaging techniques, we reviewed the normal anatomy of the nuclei consisting of monoamine neurons such as dopaminergic, noradrenergic, and serotoninergic neurons and noted the changes in these nuclei that occur in some degenerative and psychiatric disorders. Multimodal MR images can directly or indirectly help in identifying the substantia nigra, locus ceruleus, and raphe nuclei that contain monoamine neurons. Neuromelanin-sensitive magnetic resonance imaging can detect signal alterations in the substantia nigra pars compacta and/or locus ceruleus that occur in Parkinson's disease and psychiatric disorders such as depression and schizophrenia. This technique seems to be promising for the noninvasive evaluation of the pathological or functional changes in the monoamine system that occur in degenerative and psychiatric disorders.
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Shibata E, Sasaki M, Tohyama K, Otsuka K, Endoh J, Terayama Y, Sakai A. Use of neuromelanin-sensitive MRI to distinguish schizophrenic and depressive patients and healthy individuals based on signal alterations in the substantia nigra and locus ceruleus. Biol Psychiatry 2008; 64:401-6. [PMID: 18452894 DOI: 10.1016/j.biopsych.2008.03.021] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2007] [Revised: 03/24/2008] [Accepted: 03/25/2008] [Indexed: 12/31/2022]
Abstract
BACKGROUND We investigated alterations in the substantia nigra pars compacta (SNc) and locus ceruleus (LC) in schizophrenic and depressive patients by using a neuromelanin-sensitive magnetic resonance imaging (MRI) technique that enables direct visualization of these nuclei and examined whether this technique could distinguish between these disorders and healthy subjects. METHODS Using a neuromelanin-sensitive T1-weighted MRI technique, we examined 20 schizophrenia patients, 18 depressive patients, and 34 healthy control subjects. The signal intensities of the areas corresponding to the SNc and LC were measured, and the contrast ratios (CR) to the adjacent white matter were calculated. RESULTS The CR of the SNc was significantly higher in schizophrenic patients (22.6 +/- 5.6) than in depressive patients (19.2 +/- 4.7) and healthy control subjects (19.6 +/- 3.8), whereas the CR of the LC in depressive patients (7.7 +/- 2.4) was significantly lower than that in healthy control subjects (11.0 +/- 3.9) and schizophrenic patients (10.0 +/- 3.1). Further, the difference in the CR between the SNc and LC was significantly greater in schizophrenic patients (12.6 +/- 6.7) than in control subjects (8.6 +/- 4.1). CONCLUSIONS Neuromelanin-sensitive MRI enables visualization of alterations in the SNc and LC that are observed in schizophrenia and depression.
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Affiliation(s)
- Eri Shibata
- Department of Neuropsychiatry, Iwate Medical University School of Medicine, Morioka, Japan.
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Shibata E, Sasaki M, Tohyama K, Otsuka K, Sakai A. Reduced signal of locus ceruleus in depression in quantitative neuromelanin magnetic resonance imaging. Neuroreport 2007; 18:415-8. [PMID: 17496795 DOI: 10.1097/wnr.0b013e328058674a] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
We used a neuromelanin-magnetic resonance imaging technique to investigate abnormalities in the locus ceruleus in depression. We examined 20 patients with major depression and 43 age-matched controls using a 3 T scanner with a neuromelanin-sensitive sequence. The signal intensities of the areas corresponding to the rostral, middle, and caudal portions of the locus ceruleus were measured, and the contrast ratio relative to the adjacent pontine tegmentum was calculated. In controls, the contrast ratio in the middle portion was higher than in the rostral and caudal areas. In patients, contrast ratios in the rostral and middle portions were significantly decreased in comparison with controls, suggesting dysfunction of the ascending noradrenergic system. Neuromelanin-magnetic resonance imaging can be used to visualize abnormalities in the locus ceruleus of depressive patients.
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Affiliation(s)
- Eri Shibata
- Department of Radiology, Center for EM and Bio-Imaging Research, Iwate Medical University, Morioka, Japan.
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Shibata E, Sasaki M, Tohyama K, Kanbara Y, Otsuka K, Ehara S, Sakai A. Age-related changes in locus ceruleus on neuromelanin magnetic resonance imaging at 3 Tesla. Magn Reson Med Sci 2007; 5:197-200. [PMID: 17332710 DOI: 10.2463/mrms.5.197] [Citation(s) in RCA: 114] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To investigate age-related changes in the locus ceruleus (LC) in healthy subjects using neuromelanin magnetic resonance (MR) imaging at 3 Tesla. METHODS We examined 64 healthy volunteers (aged 23 to 80 years) using neuromelanin-sensitive T1-weighted images and measured the contrast of areas of high signal intensity corresponding to the LC. RESULTS A pair of punctate areas of high signal intensity that represented neuromelanin within the noradrenergic neurons of the LC was easily recognized in all subjects. The contrast ratio of the LC to the adjacent pontine tegmentum increased to the age of 40 to 59 years and gradually and significantly decreased in elderly subjects. This correlates well with pathologically proven age-related changes in neuromelanin content within the LC. CONCLUSION Age-related variance should be considered when determining the existence of abnormalities in the LC.
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Affiliation(s)
- Eri Shibata
- Department of Radiology, Iwate Medical University, Morioka, Japan.
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Magnetic resonance imaging contrast agents: Theory and the role of dendrimers. ACTA ACUST UNITED AC 2002. [DOI: 10.1016/s1874-5229(02)80006-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
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Lowrey AH, Famini GR, Loumbev V, Wilson LY, Tosk JM. Modeling drug-melanin interaction with theoretical linear solvation energy relationships. PIGMENT CELL RESEARCH 1997; 10:251-6. [PMID: 9359620 DOI: 10.1111/j.1600-0749.1997.tb00684.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The affinity of drugs and other xenobiotic agents for melanin is a well-known phenomenon, often occurring with serious physiological consequences. For example, the interaction of anti-psychotic drugs with neuromelanin may play a pivotal role in the induction of extrapyramidal movement disorders associated with the chronic administration of phenothiazine and other neuroleptic agents. Little, however, is known about the complete nature of melanin-drug binding and the impact of these interactions on the physico-chemical properties of melanin. Data, such as binding affinities, can be analyzed using recently developed computational methods that combine mathematical models of chemical structure with statistical analysis. In particular, theoretical linear solvation energy relationships provide a convenient model for understanding and predicting biological, chemical, and physical properties. By using this modeling technique, drug-melanin binding of a set of 16 compounds has been analyzed with correlation analysis and a set of theoretical molecular parameters in order to better understand and characterize drug-melanin interactions. The resulting correlation equation supports a charge transfer model for drug-melanin complex formation and can also be used to estimate binding constants for related compounds.
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Affiliation(s)
- A H Lowrey
- The Laboratory for Structure and Matter, U.S. Naval Research Laboratory, Washington, D.C. 20375, USA
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Steffens DC, McDonald WM, Tupler LA, Boyko OB, Krishnan KR. Magnetic resonance imaging changes in putamen nuclei iron content and distribution in normal subjects. Psychiatry Res 1996; 68:55-61. [PMID: 9027933 DOI: 10.1016/0925-4927(96)02834-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
To study patterns of iron deposition in the putamen in aging, we reviewed brain magnetic resonance imaging (MRI) scans of 56 normal subjects. We developed the Signal Hypointensity in the Putamen (SHIP) Scale, a semiquantitative measure, to evaluate putamen nuclei for extent of iron deposition relative to the globus pallidus. The SHIP score was highly reliable (kappa = 0.76) and significantly correlated with age (P < 0.0001). We found that age-related iron deposition in putamen nuclei follows a characteristic pattern along a posterolateral-to-anteromedial gradient. This gradient may be related to the microvasculature of the putamen. Other studies are needed to replicate our findings in patients with affective and other neuropsychiatric disorders and to clarify the pathophysiological mechanisms that govern these changes.
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Affiliation(s)
- D C Steffens
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA
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Schenck JF. Imaging of brain iron by magnetic resonance: T2 relaxation at different field strengths. J Neurol Sci 1995; 134 Suppl:10-8. [PMID: 8847539 DOI: 10.1016/0022-510x(95)00203-e] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Soon after the advent of magnetic resonance imaging (MRI) as a diagnostic modality in the 1980s, it was recognized that some of the contrast found in brain imaging correlated with patterns of iron deposition. The presence of non-heme iron had previously been established by pathological studies on post-mortem brains. The iron concentration is highest in specific nuclei of the basal ganglia and some associated structures. It is low at birth and increases with age until a relatively constant level is reached at an age of 20-30 years. There is evidence for further increases in very elderly persons. Although iron is ubiquitous in human tissues, only in a few situations is the concentration large enough to affect MRI. Because MRI has the ability to detect, in a noninvasive fashion, the naturally occurring iron in the basal ganglia and related nuclei, it may be used to study the physiology and pathology of these important structures. Magnetic resonance imaging has confirmed the results of earlier post mortem studies of the anatomical localization and age-dependence of brain iron. Initial steps have been toward the use of MRI to study disorders of thought, movement, and behavior that are believed to be related to brain iron. However, additional understanding is required of the physical details of the contrast mechanism, the physiology of the iron accumulation, and the significance of abnormal patterns of iron deposition. In this report, data are presented on the normal variation in MRI parameters and their dependence on magnetic field strength. The potential clinical and basic science applications are briefly reviewed. Information from widely differing fields is relevant to the study of the physical and pathological significance of brain iron, and for this reason, extensive, although not exhaustive, literature references are included.
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Affiliation(s)
- J F Schenck
- General Electric Corporate Research and Development Center, Schenectady, NY 12309, USA
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Rofstad EK, Steinsland E, Kaalhus O, Chang YB, Høvik B, Lyng H. Magnetic resonance imaging of human melanoma xenografts in vivo: proton spin-lattice and spin-spin relaxation times versus fractional tumour water content and fraction of necrotic tumour tissue. Int J Radiat Biol 1994; 65:387-401. [PMID: 7908318 DOI: 10.1080/09553009414550451] [Citation(s) in RCA: 56] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Proton nuclear magnetic resonance (1H-nmr) imaging is used routinely in clinical oncology to provide macroscopic anatomical information, whereas its potential to provide physiological information about tumours is not well explored. To evaluate the potential usefulness of 1H-nmr imaging in the prediction of tumour treatment resistance caused by unfavourable microenvironmental conditions, possible correlations between proton spin-lattice and spin-spin relaxation times (T1 and T2) and physiological parameters of the tumour microenvironment were investigated. Tumours from six human melanoma xenograft lines were included in the study. 1H-nmr imaging was performed at 1.5 T using spin-echo pulse sequences. T1- and T2-distributions were generated from the images. Fractional tumour water content and the fraction of necrotic tumour tissue were measured immediately after 1H-nmr imaging. Significant correlations across tumour lines were found for T1 and T2 versus fractional tumour water content (p < 0.001) as well as for T1 and T2 versus fraction of necrotic tumour tissue (p < 0.05). Tumours with high fractional water contents had high values of T1 and T2, probably caused by free water in the tumour interstitium. Fractional water content is correlated to interstitial fluid pressure in tumours, high interstitial fluid pressure being indicative of high vascular resistance. Tumours with high fractional water contents are thus expected to show regions with radiobiologically hypoxic cells as well as poor intravascular and interstitial transport of many therapeutic agents. T1 and T2 decreased with increasing fraction of necrotic tumour tissue, perhaps because complexed paramagnetic ions were released during development of necrosis. Viable tumour cells adjacent to necrotic regions are usually chronically hypoxic. Tumours with high fractions of necrotic tissue are thus expected to contain significant proportions of radiobiologically hypoxic cells. Consequently, quantitative 1H-nmr imaging has the potential to be developed as an efficient clinical tool in prediction of tumour treatment resistance caused by hypoxia and/or transport barriers for therapeutic agents. However, much work remains to be done before this potential can be adequately evaluated. One problem is that high fractional tumour water contents result in longer T1 and T2 whereas high fractions of necrotic tumour tissue result in shorter T1 and T2; i.e. the two parameters which are indicative of treatment resistance contribute in opposite directions. Another problem is that the correlations for T1 and T2 versus fraction of necrotic tumour tissue are not particularly strong.
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Affiliation(s)
- E K Rofstad
- Department of Biophysics, Norwegian Radium Hospital, Montebello, Oslo
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Bulte JW, Vymazal J, Brooks RA, Pierpaoli C, Frank JA. Frequency dependence of MR relaxation times. II. Iron oxides. J Magn Reson Imaging 1993; 3:641-8. [PMID: 8347958 DOI: 10.1002/jmri.1880030414] [Citation(s) in RCA: 94] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
The frequency dependence of T1 and T2 was measured for homogeneous suspensions of magnetite and iron oxyhydroxide particles in water with various concentrations of gelatin. The transverse relaxivity showed two types of behavior: (a) For magnetic particles, there was a rapid increase in T2 relaxivity with frequency, followed by a saturation plateau, which accorded with the Langevin magnetization function. From these curves, the magnetic moment of the particle domains was estimated to range from 0.8 to 6.3 x 10(4) Bohr magnetons. (b) For iron oxyhydroxide (ferritin, ferrihydrite, and akaganéite) particles, T2 relaxivity increased linearly with frequency, the slope of the increase characteristic for each particle. T2 relaxivity generally increased with increasing gelatin concentration, corresponding to the measured decrease in the water diffusion coefficient. For iron oxides, homogeneously distributed either as iatrogenic agents or endogenous biominerals, these findings may aid in the interpretation of in vivo relaxivity and the effect on MR imaging.
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Affiliation(s)
- J W Bulte
- Diagnostic Radiology Department, Warren G. Magnuson Clinical Center National Institutes of Health, Bethesda, MD 20892
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Abstract
Life on earth has evolved in a sea of natural electromagnetic (EM) fields. Over the past century, this natural environment has sharply changed with introduction of a vast and growing spectrum of man-made EM fields. From models based on equilibrium thermodynamics and thermal effects, these fields were initially considered too weak to interact with biomolecular systems, and thus incapable of influencing physiological functions. Laboratory studies have tested a spectrum of EM fields for bioeffects at cell and molecular levels, focusing on exposures at athermal levels. A clear emergent conclusion is that many observed interactions are not based on tissue heating. Modulation of cell surface chemical events by weak EM fields indicates a major amplification of initial weak triggers associated with binding of hormones, antibodies, and neurotransmitters to their specific binding sites. Calcium ions play a key role in this amplification. These studies support new concepts of communication between cells across the barriers of cell membranes; and point with increasing certainty to an essential physical organization in living matter, at a far finer level than the structural and functional image defined in the chemistry of molecules. New collaborations between physical and biological scientists define common goals, seeking solutions to the physical nature of matter through a strong focus on biological matter. The evidence indicates mediation by highly nonlinear, nonequilibrium processes at critical steps in signal coupling across cell membranes. There is increasing evidence that these events relate to quantum states and resonant responses in biomolecular systems, and not to equilibrium thermodynamics associated with thermal energy exchanges and tissue heating.
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Affiliation(s)
- W R Adey
- Pettis Memorial VA Medical Center, Loma Linda, California
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