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Wengler K, Trujillo P, Cassidy CM, Horga G. Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology 2024:10.1038/s41386-024-01934-y. [PMID: 39160355 DOI: 10.1038/s41386-024-01934-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/21/2024] [Accepted: 07/15/2024] [Indexed: 08/21/2024]
Abstract
Neuromelanin-sensitive MRI is a burgeoning non-invasive neuroimaging method with an increasing number of applications in psychiatric research. This MRI modality is sensitive to the concentration of neuromelanin, which is synthesized from intracellular catecholamines and accumulates in catecholaminergic nuclei including the dopaminergic substantia nigra and the noradrenergic locus coeruleus. Emerging data suggest the utility of neuromelanin-sensitive MRI as a proxy measure for variability in catecholamine metabolism and function, even in the absence of catecholaminergic cell loss. Given the importance of catecholamine function to several psychiatric disorders and their treatments, neuromelanin-sensitive MRI is ideally positioned as an informative and easy-to-acquire catecholaminergic index. In this review paper, we examine basic aspects of neuromelanin and neuromelanin-sensitive MRI and focus on its psychiatric applications in the contexts of mechanistic research and biomarker development. We discuss ongoing debates and state-of-the-art research into the mechanisms of the neuromelanin-sensitive MRI contrast, standardized protocols and optimized analytic approaches, and application of cutting-edge methods such as machine learning and artificial intelligence to enhance the feasibility and predictive power of neuromelanin-sensitive-MRI-based tools. We finally lay out important future directions to allow neuromelanin-sensitive-MRI to fulfill its potential as a key component of the research, and ultimately clinical, toolbox in psychiatry.
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Affiliation(s)
- Kenneth Wengler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Vanderbilt, TN, USA
| | - Clifford M Cassidy
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Guillermo Horga
- New York State Psychiatric Institute, New York, NY, USA.
- Department of Psychiatry, Columbia University, New York, NY, USA.
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2
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McCall A, Forouhandehpour R, Celebi S, Richard-Malenfant C, Hamati R, Guimond S, Tuominen L, Weinshenker D, Jaworska N, McQuaid RJ, Shlik J, Robillard R, Kaminsky Z, Cassidy CM. Evidence for Locus Coeruleus-Norepinephrine System Abnormality in Military Posttraumatic Stress Disorder Revealed by Neuromelanin-Sensitive Magnetic Resonance Imaging. Biol Psychiatry 2024; 96:268-277. [PMID: 38296219 DOI: 10.1016/j.biopsych.2024.01.013] [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: 08/15/2023] [Revised: 01/04/2024] [Accepted: 01/22/2024] [Indexed: 07/26/2024]
Abstract
BACKGROUND The complex neurobiology of posttraumatic stress disorder (PTSD) calls for the characterization of specific disruptions in brain functions that require targeted treatment. One such alteration could be an overactive locus coeruleus (LC)-norepinephrine system, which may be linked to hyperarousal symptoms, a characteristic and burdensome aspect of the disorder. METHODS Study participants were Canadian Armed Forces veterans with PTSD related to deployment to combat zones (n = 34) and age- and sex-matched healthy control participants (n = 32). Clinical measures included the Clinician-Administered PTSD Scale for DSM-5, and neuroimaging measures included a neuromelanin-sensitive magnetic resonance imaging scan to measure the LC signal. Robust linear regression analyses related the LC signal to clinical measures. RESULTS Compared with control participants, the LC signal was significantly elevated in the PTSD group (t62 = 2.64, p = .010), and this group difference was most pronounced in the caudal LC (t56 = 2.70, Cohen's d = 0.72). The caudal LC signal was also positively correlated with the severity of Clinician-Administered PTSD Scale for DSM-5 hyperarousal symptoms in the PTSD group (t26 = 2.16, p = .040). CONCLUSIONS These findings are consistent with a growing body of evidence indicative of elevated LC-norepinephrine system function in PTSD. Furthermore, they indicate the promise of neuromelanin-sensitive magnetic resonance imaging as a noninvasive method to probe the LC-norepinephrine system that has the potential to support subtyping and treatment of PTSD or other neuropsychiatric conditions.
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Affiliation(s)
- Adelina McCall
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | | | - Seyda Celebi
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | | | - Rami Hamati
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | - Synthia Guimond
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada; Département de psychoéducation et de psychologie, Université du Québec en Outaouais, Gatineau, Quebec, Canada
| | - Lauri Tuominen
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Natalia Jaworska
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Robyn J McQuaid
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Jakov Shlik
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | - Rebecca Robillard
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | - Zachary Kaminsky
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada
| | - Clifford M Cassidy
- University of Ottawa Institute of Mental Health Research at the Royal, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada; Renaissance School of Medicine at Stony Brook University, Stony Brook, New York.
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3
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Verma AK, Lowery S, Lin LC, Duraisami E, Lloréns JEA, Qiu Q, Hefti M, Yu CR, Albers MW, Perlman S. Persistent Neurological Deficits in Mouse PASC Reveal Antiviral Drug Limitations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.02.596989. [PMID: 38895239 PMCID: PMC11185538 DOI: 10.1101/2024.06.02.596989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Post-Acute Sequelae of COVID-19 (PASC) encompasses persistent neurological symptoms, including olfactory and autonomic dysfunction. Here, we report chronic neurological dysfunction in mice infected with a virulent mouse-adapted SARS-CoV-2 that does not infect the brain. Long after recovery from nasal infection, we observed loss of tyrosine hydroxylase (TH) expression in olfactory bulb glomeruli and neurotransmitter levels in the substantia nigra (SN) persisted. Vulnerability of dopaminergic neurons in these brain areas was accompanied by increased levels of proinflammatory cytokines and neurobehavioral changes. RNAseq analysis unveiled persistent microglia activation, as found in human neurodegenerative diseases. Early treatment with antivirals (nirmatrelvir and molnupiravir) reduced virus titers and lung inflammation but failed to prevent neurological abnormalities, as observed in patients. Together these results show that chronic deficiencies in neuronal function in SARS-CoV-2-infected mice are not directly linked to ongoing olfactory epithelium dysfunction. Rather, they bear similarity with neurodegenerative disease, the vulnerability of which is exacerbated by chronic inflammation.
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Affiliation(s)
- Abhishek Kumar Verma
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
| | - Shea Lowery
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
| | - Li-Chin Lin
- Iowa Neuroscience Institute, University of Iowa, IA, USA 52242
- Department of Neurology, University of Iowa, Iowa City, IA 52242
| | | | | | - Qiang Qiu
- Stowers Institute for Medical Research, Kansas City, MO 64110
| | - Marco Hefti
- Department of Pathology, University of Iowa, Iowa City, IA 52242
| | - C. Ron Yu
- Stowers Institute for Medical Research, Kansas City, MO 64110
| | - Mark W. Albers
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
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4
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van der Pluijm M, Wengler K, Reijers PN, Cassidy CM, Tjong Tjin Joe K, de Peuter OR, Horga G, Booij J, de Haan L, van de Giessen E. Neuromelanin-Sensitive MRI as Candidate Marker for Treatment Resistance in First-Episode Schizophrenia. Am J Psychiatry 2024; 181:512-519. [PMID: 38476044 PMCID: PMC11227872 DOI: 10.1176/appi.ajp.20220780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
OBJECTIVE Markers for treatment resistance in schizophrenia are needed to reduce delays in effective treatment. Nigrostriatal hyperdopaminergic function plays a critical role in the pathology of schizophrenia, yet antipsychotic nonresponders do not show increased dopamine function. Neuromelanin-sensitive MRI (NM-MRI), which indirectly measures dopamine function in the substantia nigra, has potential as a noninvasive marker for nonresponders. Increased NM-MRI signal has been shown in psychosis, but has not yet been assessed in nonresponders. In this study, the authors investigated whether nonresponders show lower NM-MRI signal than responders. METHODS NM-MRI scans were acquired in 79 patients with first-episode psychosis and 20 matched healthy control subjects. Treatment response was assessed at a 6-month follow-up. An a priori voxel-wise analysis within the substantia nigra tested the relation between NM-MRI signal and treatment response in patients. RESULTS Fifteen patients were classified as nonresponders and 47 patients as responders. Seventeen patients were excluded, primarily because of medication nonadherence or change in diagnosis. Voxel-wise analysis revealed 297 significant voxels in the ventral tier of the substantia nigra that were negatively associated with treatment response. Nonresponders and healthy control subjects had significantly lower NM-MRI signal than responders. Receiver operating characteristic curve analysis showed that NM-MRI signal separated nonresponders with areas under the curve between 0.62 and 0.85. In addition, NM-MRI signal in patients did not change over 6 months. CONCLUSIONS These findings provide further evidence for dopaminergic differences between medication responders and nonresponders and support the potential of NM-MRI as a clinically applicable marker for treatment resistance in schizophrenia.
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Affiliation(s)
- Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Kenneth Wengler
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Pascalle N Reijers
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Clifford M Cassidy
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Kaithlyn Tjong Tjin Joe
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Olav R de Peuter
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Guillermo Horga
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Jan Booij
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Lieuwe de Haan
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine (van der Pluijm, Reijers, Tjong Tjin Joe, Booij, van de Giessen) and Department of Psychiatry (van der Pluijm, de Haan), Amsterdam UMC, University of Amsterdam, Amsterdam; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York (Wengler, Horga); Royal's Institute of Mental Health Research, University of Ottawa, Ottawa (Cassidy); Arkin Mental Health Care, Amsterdam (de Peuter)
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Gao L, Gaurav R, Ziegner P, Ma J, Sun J, Chen J, Fang J, Fan Y, Bao Y, Zhang D, Chan P, Yang Q, Fan Z, Lehéricy S, Wu T. Regional nigral neuromelanin degeneration in asymptomatic leucine-rich repeat kinase 2 gene carrier using MRI. Sci Rep 2024; 14:10621. [PMID: 38729969 PMCID: PMC11087650 DOI: 10.1038/s41598-024-59074-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/07/2024] [Indexed: 05/12/2024] Open
Abstract
Asymptomatic Leucine-Rich Repeat Kinase 2 Gene (LRRK2) carriers are at risk for developing Parkinson's disease (PD). We studied presymptomatic substantia nigra pars compacta (SNc) regional neurodegeneration in asymptomatic LRRK2 carriers compared to idiopathic PD patients using neuromelanin-sensitive MRI technique (NM-MRI). Fifteen asymptomatic LRRK2 carriers, 22 idiopathic PD patients, and 30 healthy controls (HCs) were scanned using NM-MRI. We computed volume and contrast-to-noise ratio (CNR) derived from the whole SNc and the sensorimotor, associative, and limbic SNc regions. An analysis of covariance was performed to explore the differences of whole and regional NM-MRI values among the groups while controlling the effect of age and sex. In whole SNc, LRRK2 had significantly lower CNR than HCs but non-significantly higher volume and CNR than PD patients, and PD patients significantly lower volume and CNR compared to HCs. Inside SNc regions, there were significant group effects for CNR in all regions and for volumes in the associative region, with a trend in the sensorimotor region but no significant changes in the limbic region. PD had reduced volume and CNR in all regions compared to HCs. Asymptomatic LRRK2 carriers showed globally decreased SNc volume and CNR suggesting early nigral neurodegeneration in these subjects at risk of developing PD.
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Affiliation(s)
- Linlin Gao
- Department of General Practice, Tianjin Union Medical Center, Tianjin, China
| | - Rahul Gaurav
- Paris Brain Institute - ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France.
- Movement Investigations and Therapeutics Team (MOV'IT), Paris Brain Institute - ICM, Paris, France.
- Center for NeuroImaging Research (CENIR), Paris Brain Institute - ICM, Hôpital Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013, Paris, France.
| | - Pia Ziegner
- Paris Brain Institute - ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France
- Center for NeuroImaging Research (CENIR), Paris Brain Institute - ICM, Hôpital Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013, Paris, France
- Department of Neurology (H.J.), University Hospital of Heidelberg, Heidelberg, Germany
| | - Jinghong Ma
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Junyan Sun
- Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jiliang Fang
- Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yangyang Fan
- Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yan Bao
- Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Dongling Zhang
- Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Piu Chan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Qi Yang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zhaoyang Fan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Stéphane Lehéricy
- Paris Brain Institute - ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France.
- Movement Investigations and Therapeutics Team (MOV'IT), Paris Brain Institute - ICM, Paris, France.
- Center for NeuroImaging Research (CENIR), Paris Brain Institute - ICM, Hôpital Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013, Paris, France.
- Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France.
| | - Tao Wu
- Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
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Yan Y, Zhang M, Ren W, Zheng X, Chang Y. Neuromelanin-sensitive magnetic resonance imaging: Possibilities and promises as an imaging biomarker for Parkinson's disease. Eur J Neurosci 2024; 59:2616-2627. [PMID: 38441250 DOI: 10.1111/ejn.16296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 05/22/2024]
Abstract
Parkinson's disease (PD) is an age-related progressive neurodegenerative disorder characterized by both motor and non-motor symptoms resulting from the death of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and noradrenergic neurons in the locus coeruleus (LC). The current diagnosis of PD primarily relies on motor symptoms, often leading to diagnoses in advanced stages, where a significant portion of SNpc dopamine neurons has already succumbed. Therefore, the identification of imaging biomarkers for early-stage PD diagnosis and disease progression monitoring is imperative. Recent studies propose that neuromelanin-sensitive magnetic resonance imaging (NM-MRI) holds promise as an imaging biomarker. In this review, we summarize the latest findings concerning NM-MRI characteristics at various stages in patients with PD and those with atypical parkinsonism. In conclusion, alterations in neuromelanin within the LC are associated with non-motor symptoms and prove to be a reliable imaging biomarker in the prodromal phase of PD. Furthermore, NM-MRI demonstrates efficacy in differentiating progressive supranuclear palsy (PSP) from PD and multiple system atrophy with predominant parkinsonism. The spatial patterns of changes in the SNpc can be indicative of PD progression and aid in distinguishing between PSP and synucleinopathies. We recommend that patients with PD and individuals at risk for PD undergo regular NM-MRI examinations. This technology holds the potential for widespread use in PD diagnosis.
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Affiliation(s)
- Yayun Yan
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Mengchao Zhang
- Department of Radiology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Wenhua Ren
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Xiaoqi Zheng
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Ying Chang
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
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Liu P, Wang X, Zhang Y, Huang P, Jin Z, Cheng Z, Chen Y, Xu Q, Ghassaban K, Liu Y, Chen S, He N, Yan F, Haacke EM. PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease. Neuroimage 2024; 291:120588. [PMID: 38537765 DOI: 10.1016/j.neuroimage.2024.120588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Parkinson's disease (PD) is associated with the loss of neuromelanin (NM) and increased iron in the substantia nigra (SN). Magnetization transfer contrast (MTC) is widely used for NM visualization but has limitations in brain coverage and scan time. This study aimed to develop a new approach called Proton-density Enhanced Neuromelanin Contrast in Low flip angle gradient echo (PENCIL) imaging to visualize NM in the SN. METHODS This study included 30 PD subjects and 50 healthy controls (HCs) scanned at 3T. PENCIL and MTC images were acquired. NM volume in the SN pars compacta (SNpc), normalized image contrast (Cnorm), and contrast-to-noise ratio (CNR) were calculated. The change of NM volume in the SNpc with age was analyzed using the HC data. A group analysis compared differences between PD subjects and HCs. Receiver operating characteristic (ROC) analysis and area under the curve (AUC) calculations were used to evaluate the diagnostic performance of NM volume and CNR in the SNpc. RESULTS PENCIL provided similar visualization and structural information of NM compared to MTC. In HCs, PENCIL showed higher NM volume in the SNpc than MTC, but this difference was not observed in PD subjects. PENCIL had higher CNR, while MTC had higher Cnorm. Both methods revealed a similar pattern of NM volume in SNpc changes with age. There were no significant differences in AUCs between NM volume in SNpc measured by PENCIL and MTC. Both methods exhibited comparable diagnostic performance in this regard. CONCLUSIONS PENCIL imaging provided improved CNR compared to MTC and showed similar diagnostic performance for differentiating PD subjects from HCs. The major advantage is PENCIL has rapid whole-brain coverage and, when using STAGE imaging, offers a one-stop quantitative assessment of tissue properties.
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Affiliation(s)
- Peng Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Xinhui Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Youmin Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Pei Huang
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Zhijia Jin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Zenghui Cheng
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, 4201St. Antoine, Detroit, MI 48201, USA
| | - Qiuyun Xu
- SpinTech MRI, Bingham Farms, MI 48025, USA
| | | | - Yu Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China; Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China; Department of Neurology, Wayne State University School of Medicine, 4201St. Antoine, Detroit, MI 48201, USA; Department of Radiology, Wayne State University School of Medicine, 3990 John R Street, MRI Concourse, Detroit, MI 48201, USA.
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8
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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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Trujillo P, Aumann MA, Claassen DO. Reply: Neuromelanin? MRI of catecholaminergic neurons. Brain 2024; 147:e27-e28. [PMID: 37979197 DOI: 10.1093/brain/awad394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 11/03/2023] [Indexed: 11/20/2023] Open
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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10
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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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11
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Choi S, Kim M, Kim T, Choi EJ, Lee J, Moon SY, Cho SS, Lee J, Kwon JS. Fronto-striato-thalamic circuit connectivity and neuromelanin in schizophrenia: an fMRI and neuromelanin-MRI study. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:81. [PMID: 37945576 PMCID: PMC10636101 DOI: 10.1038/s41537-023-00410-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023]
Abstract
Changes in dopamine and fronto-striato-thalamic (FST) circuit functional connectivity are prominent in schizophrenia. Dopamine is thought to underlie connectivity changes, but experimental evidence for this hypothesis is lacking. Previous studies examined the association in some of the connections using positron emission tomography (PET) and functional MRI (fMRI); however, PET has disadvantages in scanning patients, such as invasiveness. Excessive dopamine induces neuromelanin (NM) accumulation, and NM-MRI is suggested as a noninvasive proxy measure of dopamine function. We aimed to investigate the association between NM and FST circuit connectivity at the network level in patients with schizophrenia. We analysed substantia nigra NM-MRI and resting-state fMRI data from 29 schizophrenia patients and 63 age- and sex-matched healthy controls (HCs). We identified the FST subnetwork with abnormal connectivity found in schizophrenia patients compared to that of HCs and investigated the relationship between constituting connectivity and NM-MRI signal. We found a higher NM signal (t = -2.12, p = 0.037) and a hypoconnected FST subnetwork (FWER-corrected p = 0.014) in schizophrenia patients than in HCs. In the hypoconnected subnetwork of schizophrenia patients, lower left supplementary motor area-left caudate connectivity was associated with a higher NM signal (β = -0.38, p = 0.042). We demonstrated the association between NM and FST circuit connectivity. Considering that the NM-MRI signal reflects dopamine function, our results suggest that dopamine underlies changes in FST circuit connectivity, which supports the dopamine hypothesis. In addition, this study reveals implications for the future use of NM-MRI in investigations of the dopamine system.
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Affiliation(s)
- Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Eun-Jung Choi
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Jungha Lee
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sang Soo Cho
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jongho Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
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12
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Riley E, Cicero N, Swallow K, De Rosa E, Anderson A. Locus coeruleus neuromelanin accumulation and dissipation across the lifespan. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.17.562814. [PMID: 37905002 PMCID: PMC10614878 DOI: 10.1101/2023.10.17.562814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
The pigment neuromelanin, produced in the locus coeruleus (LC) as a byproduct of catecholamine synthesis, gives the "blue spot" its name, and both identifies LC neurons and is thought to play an important yet complex role in normal and pathological aging. Using neuromelanin-sensitive T1-weighted turbo spin echo MRI scans we characterized volume and neuromelanin signal intensity in the LC of 96 participants between the ages of 19 and 86. Although LC volume did not change significantly throughout the lifespan, LC neuromelanin signal intensity increased from early adulthood, peaked around age 60 and precipitously declined thereafter. Neuromelanin intensity was greater in the caudal relative to rostral extent and in women relative to men. With regard to function, rostral LC neuromelanin intensity was associated with fluid cognition in older adults (60+) only in those above the 50th percentile of cognitive ability for age. The gradual accumulation of LC neuromelanin across the lifespan, its sudden dissipation in later life, and relation to preserved cognitive function, is consistent with its complex role in normal and pathological aging.
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Affiliation(s)
| | | | | | - Eve De Rosa
- Department of Psychology, Cornell University
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13
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Dahl MJ, Bachman SL, Dutt S, Düzel S, Bodammer NC, Lindenberger U, Kühn S, Werkle-Bergner M, Mather M. The integrity of dopaminergic and noradrenergic brain regions is associated with different aspects of late-life memory performance. NATURE AGING 2023; 3:1128-1143. [PMID: 37653256 PMCID: PMC10501910 DOI: 10.1038/s43587-023-00469-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/14/2023] [Indexed: 09/02/2023]
Abstract
Changes in dopaminergic neuromodulation play a key role in adult memory decline. Recent research has also implicated noradrenaline in shaping late-life memory. However, it is unclear whether these two neuromodulators have distinct roles in age-related cognitive changes. Here, combining longitudinal MRI of the dopaminergic substantia nigra-ventral tegmental area (SN-VTA) and noradrenergic locus coeruleus (LC) in younger (n = 69) and older (n = 251) adults, we found that dopaminergic and noradrenergic integrity are differentially associated with memory performance. While LC integrity was related to better episodic memory across several tasks, SN-VTA integrity was linked to working memory. Longitudinally, we found that older age was associated with more negative change in SN-VTA and LC integrity. Notably, changes in LC integrity reliably predicted future episodic memory. These differential associations of dopaminergic and noradrenergic nuclei with late-life cognitive decline have potential clinical utility, given their degeneration in several age-associated diseases.
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Affiliation(s)
- Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Shelby L Bachman
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Shubir Dutt
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Nils C Bodammer
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Mara Mather
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
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14
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Huddleston DE, Chen X, Hwang K, Langley J, Tripathi R, Tucker K, McKay JL, Hu X, Factor SA. Neuromelanin-sensitive MRI correlates of cognitive and motor function in Parkinson's disease with freezing of gait. FRONTIERS IN DEMENTIA 2023; 2:1215505. [PMID: 39082000 PMCID: PMC11285586 DOI: 10.3389/frdem.2023.1215505] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2024]
Abstract
Substantia nigra pars compacta (SNc) and locus coeruleus (LC) are neuromelanin-rich nuclei implicated in diverse cognitive and motor processes in normal brain function and disease. However, their roles in aging and neurodegenerative disease mechanisms have remained unclear due to a lack of tools to study them in vivo. Preclinical and post-mortem human investigations indicate that the relationship between tissue neuromelanin content and neurodegeneration is complex. Neuromelanin exhibits both neuroprotective and cytotoxic characteristics, and tissue neuromelanin content varies across the lifespan, exhibiting an inverted U-shaped relationship with age. Neuromelanin-sensitive MRI (NM-MRI) is an emerging modality that allows measurement of neuromelanin-associated contrast in SNc and LC in humans. NM-MRI robustly detects disease effects in these structures in neurodegenerative conditions, including Parkinson's disease (PD). Previous NM-MRI studies of PD have largely focused on detecting disease group effects, but few studies have reported NM-MRI correlations with phenotype. Because neuromelanin dynamics are complex, we hypothesize that they are best interpreted in the context of both disease stage and aging, with neuromelanin loss correlating with symptoms most clearly in advanced stages where neuromelanin loss and neurodegeneration are coupled. We tested this hypothesis using NM-MRI to measure SNc and LC volumes in healthy older adult control individuals and in PD patients with and without freezing of gait (FOG), a severe and disabling PD symptom. We assessed for group differences and correlations between NM-MRI measures and aging, cognition and motor deficits. SNc volume was significantly decreased in PD with FOG compared to controls. SNc volume correlated significantly with motor symptoms and cognitive measures in PD with FOG, but not in PD without FOG. SNc volume correlated significantly with aging in PD. When PD patients were stratified by disease duration, SNc volume correlated with aging, cognition, and motor deficits only in PD with disease duration >5 years. We conclude that in severe or advanced PD, identified by either FOG or disease duration >5 years, the observed correlations between SNc volume and aging, cognition, and motor function may reflect the coupling of neuromelanin loss with neurodegeneration and the associated emergence of a linear relationship between NM-MRI measures and phenotype.
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Affiliation(s)
- Daniel E. Huddleston
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Xiangchuan Chen
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kristy Hwang
- Department of Neurology, University of California, San Diego, La Jolla, CA, United States
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
| | - Richa Tripathi
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kelsey Tucker
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
- Department of Bioengineering, University of California, Riverside, Riverside, CA, United States
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
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15
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Huddleston DE, Chen X, Hwang K, Langley J, Tripathi R, Tucker K, McKay JL, Hu X, Factor SA. Neuromelanin-sensitive MRI correlates of cognitive and motor function in Parkinson's disease with freezing of gait. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.04.23292227. [PMID: 37461735 PMCID: PMC10350131 DOI: 10.1101/2023.07.04.23292227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Substantia nigra pars compacta (SNc) and locus coeruleus (LC) are neuromelanin-rich nuclei implicated in diverse cognitive and motor processes in normal brain function and disease. However, their roles in aging and neurodegenerative disease mechanisms have remained unclear due to a lack of tools to study them in vivo. Preclinical and post-mortem human investigations indicate that the relationship between tissue neuromelanin content and neurodegeneration is complex. Neuromelanin exhibits both neuroprotective and cytotoxic characteristics, and tissue neuromelanin content varies across the lifespan, exhibiting an inverted U-shaped relationship with age. Neuromelanin-sensitive MRI (NM-MRI) is an emerging modality that allows measurement of neuromelanin-associated contrast in SNc and LC in humans. NM-MRI robustly detects disease effects in these structures in neurodegenerative and psychiatric conditions, including Parkinson's disease (PD). Previous NM-MRI studies of PD have largely focused on detecting disease group effects, but few studies have reported NM-MRI correlations with phenotype. Because neuromelanin dynamics are complex, we hypothesize that they are best interpreted in the context of both disease stage and aging, with neuromelanin loss correlating with symptoms most clearly in advanced stages where neuromelanin loss and neurodegeneration are coupled. We tested this hypothesis using NM-MRI to measure SNc and LC volumes in healthy older adult control individuals and in PD patients with and without freezing of gait (FOG), a severe and disabling PD symptom. We assessed for group differences and correlations between NM-MRI measures and aging, cognition and motor deficits. SNc volume was significantly decreased in PD with FOG compared to controls. SNc volume correlated significantly with motor symptoms and cognitive measures in PD with FOG, but not in PD without FOG. SNc volume correlated significantly with aging in PD. When PD patients were stratified by disease duration, SNc volume correlated with aging, cognition, and motor deficits only in PD with disease duration >5 years. We conclude that in severe or advanced PD, identified by either FOG or disease duration >5 years, the observed correlations between SNc volume and aging, cognition, and motor function may reflect the coupling of neuromelanin loss with neurodegeneration and the associated emergence of a linear relationship between NM-MRI measures and phenotype.
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Affiliation(s)
- Daniel E. Huddleston
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Xiangchuan Chen
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Kristy Hwang
- Department of Neurology, University of California, San Diego
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA
| | - Richa Tripathi
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Kelsey Tucker
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University, Atlanta, GA, USA
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA
- Department of Bioengineering, University of California Riverside, Riverside, CA, USA
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
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Xuan T, Fang X, Xu T, Ma T, Zhang J, Wang Z, Li H. Neuromelanin-Sensitive Magnetic Resonance Imaging as a Measure for Differential Diagnosis of Essential Tremor and Parkinson's Disease. Neurol India 2023; 71:716-724. [PMID: 37635504 DOI: 10.4103/0028-3886.383826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
We sought to evaluate whether the neuromelanin-sensitive magnetic resonance imaging (NM-MRI) features of the substantia nigra (SN) have utility in the differential diagnosis of Parkinson's disease (PD) and essential tremor (ET). This study enrolled 23 patients with PD, 20 patients with ET, and 18 healthy participants. All subjects underwent clinical examination, motor and cognitive assessments, and NM-MRI scans. The area and contrast-to-noise ratio (CNR) values of SN were defined according to NM-MRI images. Then, receiver operating characteristic (ROC) analysis was conducted to characterize the diagnostic power of the SN area and CNR values of SN. Compared with ET and control groups, the PD group showed a significant reduction of the area of SN (P = 0.003, PD vs. ET; P = 0.001, PD vs. control) and in the SN to midbrain area ratio in the same layer (P = 0.006, PD vs. ET; P = 0.005, PD vs. control). The SN area had a sensitivity of 65% and a specificity of 87% for distinguishing ET from PD, with an area under the curve (AUC) of 0.7630 and a Youden index of 0.5200, whereas the ratio of the SN area to midbrain area in the same layer had a sensitivity of 60% and a specificity of 87% for distinguishing ET from PD, with an AUC of 0.7478 and a Youden index of 0.4700. Compared with the ET group, the mean CNR value of the SN and the respective CNR values of the three subregions were all weakened in the PD group, and only the CNR in the middle part was significantly different from the control group (P = 0.006). The sensitivity of the CNR value of the middle part of the SN for differentiating ET from PD was 65%, the specificity was 87%, the AUC was 0.7500, and the Youden index was 0.5200.Based on our findings, we conclude that NM-MRI can improve diagnostic accuracy in PD and can be used as a specific and sensitive potential diagnostic biomarker for PD.
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Affiliation(s)
- Tingting Xuan
- Department of Neurology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Xue Fang
- Department of Neurology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Ting Xu
- Department of Neural Electrophysiology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Tingting Ma
- Department of Neurology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University, Yinchuan; Ningxia Engineering Technology Research Center for Diagnosis and Treatment of Nervous System Diseases, Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Junmei Zhang
- Department of Neurology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Zhenhai Wang
- Ningxia Engineering Technology Research Center for Diagnosis and Treatment of Nervous System Diseases, Neurology Center; Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Haining Li
- Department of Neurology, Cardiovascular and Cerebrovascular Disease Hospital, General Hospital of Ningxia Medical University, Yinchuan; Ningxia Engineering Technology Research Center for Diagnosis and Treatment of Nervous System Diseases, Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
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Chen Y, Gong T, Sun C, Yang A, Gao F, Chen T, Chen W, Wang G. Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition. Eur Radiol 2023; 33:3704-3714. [PMID: 36680605 DOI: 10.1007/s00330-023-09411-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/23/2022] [Accepted: 12/29/2022] [Indexed: 01/22/2023]
Abstract
OBJECTIVES To investigate age-related neuromelanin signal variation and iron content changes in the subregions of substantia nigra (SN) using magnetization transfer contrast neuromelanin-sensitive multi-echo fast field echo sequence in a normal population. METHODS In this prospective study, 115 healthy volunteers between 20 and 86 years of age were recruited and scanned using 3.0-T MRI. We manually delineated neuromelanin accumulation and iron deposition regions in neuromelanin image and quantitative susceptibility mapping, respectively. We calculated the overlap region using the two measurements mentioned above. Partial correlation analysis was used to evaluate the correlations between volume, contrast ratio (CR), susceptibility of three subregions of SN, and age. Curve estimation models were used to find the best regression model. RESULTS CR increased with age (r = 0.379, p < 0.001; r = 0.371, p < 0.001), while volume showed an age-related decline (r = -0.559, p < 0.001; r = -0.410, p < 0.001) in the neuromelanin accumulation and overlap regions. Cubic polynomial regression analysis found a small increase in neuromelanin accumulation volume with age until 34, followed by a significant decrease until the 80 s (R2 = 0.358, p < 0.001). No significant correlations were found between susceptibility and age in any subregion. No correlation was found between CR and susceptibility in the overlap region. CONCLUSIONS Our results indicated that CR increased with age, while volume showed an age-related decline in the overlap region. We further found that the neuromelanin accumulation region volume increased until the 30 s and decreased into the 80 s. This study may provide a reference for future neurodegenerative elucidations of substantia nigra. KEY POINTS • Our results define the regional changes in neuromelanin and iron in the substantia nigra with age in the normal population, especially in the overlap region. • The contrast ratio increased with age in the neuromelanin accumulation and overlap regions, and volume showed an age-related decline, while contrast ratio and volume do not affect each other indirectly. • The contrast ratio of hyperintense neuromelanin in the overlap region was unaffected by iron content.
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Affiliation(s)
- Yufan Chen
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Tao Gong
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Cong Sun
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Aocai Yang
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Gao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Tong Chen
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | | | - Guangbin Wang
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China. .,Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
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18
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Xue J, Li F, Dai P. The Potential of ANK1 to Predict Parkinson's Disease. Genes (Basel) 2023; 14:genes14010226. [PMID: 36672967 PMCID: PMC9859451 DOI: 10.3390/genes14010226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
The main cause of Parkinson's disease (PD) remains unknown and the pathologic changes in the brain limit rapid diagnosis. Herein, differentially expressed genes (DEGs) in the Gene Expression Omnibus (GEO) database (GSE8397 and GSE22491) were assessed using linear models for microarray analysis (limma). Ankyrin 1 (ANK1) was the only common gene differentially down-regulated in lateral substantia nigra (LSN), medial substantia nigra (MSN) and blood. Additionally, DEGs between high ANK1 and low ANK1 in GSE99039 were picked out and then uploaded to the Database for Annotation, Visualization and Integrated Discovery (DAVID) for gene ontology (GO) functional annotation analysis. GO analysis displayed that these DEGs were mainly enriched in oxygen transport, myeloid cell development and gas transport (biological process (BP)); hemoglobin complex, haptoglobin-hemoglobin complex and cortical cytoskeleton (cellular component (CC)); and oxygen transporter activity, haptoglobin binding and oxygen binding (molecular function (MF)). Receiver operating characteristic (ROC) curve analysis showed ANK1 had good diagnostic accuracy and increased the area under the curve (AUC) value when combined with other biomarkers. Consistently, intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropy-ridi-ne (MPTP) in C57BL/6J mice reduced ANK1 mRNA expression in both substantia nigra and blood compared to the control group. Thus, ANK1 may serve as a candidate biomarker for PD diagnosis.
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Echogenicity and size of substantia nigra on transcranial sonography (TCS) in patients with attention-deficit/hyperactivity disorder and healthy children aged 6–12 years: a comparative study. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2023. [DOI: 10.1186/s41983-022-00579-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Abstract
Background
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neuropsychiatric disorders. Children with ADHD may experience significant functional problems, such as academic concerns at school, poor interpersonal relationships and low self-esteem. Current models of ADHD suggest that it is associated with functional impairments in dopamine and norepinephrine systems. The substantia nigra in the midbrain produces the largest amount of dopamine in the brain. The present study was conducted using TCS to compare the size and echogenicity of substantia nigra between ADHD and healthy children.
Results
This cross-sectional, analytical study was conducted on 68 (34 ADHD and 34 healthy individuals) aged 6–12 years. Based on the results obtained, the hyper-echogenicity of SN in control and ADHD groups were 33.3% and 66.7% (P < 0.001) and hypo-echogenicity of thalamic nuclei were 55.2% and 44.8% (P < 0.05), respectively. Interestingly, the TCS results of healthy children with a positive family history of ADHD were similar to results for patients with the disorder.
Conclusions
The echogenicity of Substantia nigra and thalamus nucleus among children and adolescents with ADHD is significantly higher from that in healthy children.
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20
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Ji S, Choi EJ, Sohn B, Baik K, Shin NY, Moon WJ, Park S, Song S, Lee PH, Shin DH, Oh SH, Kim EY, Lee J. Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial. Neuroimage 2022; 264:119706. [PMID: 36349597 DOI: 10.1016/j.neuroimage.2022.119706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/09/2022] [Accepted: 10/20/2022] [Indexed: 11/08/2022] Open
Abstract
Neuromelanin (NM)-sensitive MRI using a magnetization transfer (MT)-prepared T1-weighted sequence has been suggested as a tool to visualize NM contents in the brain. In this study, a new NM-sensitive imaging method, sandwichNM, is proposed by utilizing the incidental MT effects of spatial saturation RF pulses in order to generate consistent high-quality NM images using product sequences. The spatial saturation pulses are located both superior and inferior to the imaging volume, increasing MT weighting while avoiding asymmetric MT effects. When the parameters of the spatial saturation were optimized, sandwichNM reported a higher NM contrast ratio than those of conventional NM-sensitive imaging methods with matched parameters for comparability with sandwichNM (SandwichNM: 23.6 ± 5.4%; MT-prepared TSE: 20.6 ± 7.4%; MT-prepared GRE: 17.4 ± 6.0%). In a multi-vendor experiment, the sandwichNM images displayed higher means and lower standard deviations of the NM contrast ratio across subjects in all three vendors (SandwichNM vs. MT-prepared GRE; Vendor A: 28.4 ± 1.5% vs. 24.4 ± 2.8%; Vendor B: 27.2 ± 1.0% vs. 13.3 ± 1.3%; Vendor C: 27.3 ± 0.7% vs. 20.1 ± 0.9%). For each subject, the standard deviations of the NM contrast ratio across the vendors were substantially lower in SandwichNM (SandwichNM vs. MT-prepared GRE; subject 1: 1.5% vs. 8.1%, subject 2: 1.1 % vs. 5.1%, subject 3: 0.9% vs. 4.0%, subject 4: 1.1% vs. 5.3%), demonstrating consistent contrasts across the vendors. The proposed method utilizes product sequences, requiring no alteration of a sequence and, therefore, may have a wide practical utility in exploring the NM imaging.
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Affiliation(s)
- Sooyeon Ji
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Eun-Jung Choi
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Beomseok Sohn
- Department of Radiology, Severance Hospital, Seoul, Republic of Korea
| | - Kyoungwon Baik
- Department of Radiology, Severance Hospital, Seoul, Republic of Korea
| | - Na-Young Shin
- Department of Radiology, Catholic University of Korea, Seoul, Republic of Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Seoul, Republic of Korea
| | | | | | - Phil Hyu Lee
- Department of Neurology, Severance Hospital, Seoul, Republic of Korea
| | | | - Se-Hong Oh
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Eung Yeop Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University College of Medicine, Seoul, Republic of Korea.
| | - Jongho Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
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21
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Al Haddad R, Chamoun M, Tardif CL, Guimond S, Horga G, Rosa‐Neto P, Cassidy CM. Normative Values of Neuromelanin‐Sensitive
MRI
Signal in Older Adults Obtained Using a Turbo Spin Echo Sequence. J Magn Reson Imaging 2022. [DOI: 10.1002/jmri.28530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Rami Al Haddad
- The Institute of Mental Health Research University of Ottawa Ottawa Ontario Canada
| | - Mira Chamoun
- McGill University Research Centre for Studies in Aging Montreal Quebec Canada
| | | | - Synthia Guimond
- The Institute of Mental Health Research University of Ottawa Ottawa Ontario Canada
| | - Guillermo Horga
- Department of Psychiatry Columbia University New York City New York USA
| | - Pedro Rosa‐Neto
- McGill University Research Centre for Studies in Aging Montreal Quebec Canada
- Montreal Neurological Institute McGill University Montreal Quebec Canada
| | - Clifford M. Cassidy
- The Institute of Mental Health Research University of Ottawa Ottawa Ontario Canada
- McGill University Research Centre for Studies in Aging Montreal Quebec Canada
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22
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Gaurav R, Valabrègue R, Yahia-Chérif L, Mangone G, Narayanan S, Arnulf I, Vidailhet M, Corvol JC, Lehéricy S. NigraNet: An automatic framework to assess nigral neuromelanin content in early Parkinson's disease using convolutional neural network. Neuroimage Clin 2022; 36:103250. [PMID: 36451356 PMCID: PMC9668659 DOI: 10.1016/j.nicl.2022.103250] [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: 05/23/2022] [Revised: 10/15/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Parkinson's disease (PD) demonstrates neurodegenerative changes in the substantia nigra pars compacta (SNc) using neuromelanin-sensitive (NM)-MRI. As SNc manual segmentation is prone to substantial inter-individual variability across raters, development of a robust automatic segmentation framework is necessary to facilitate nigral neuromelanin quantification. Artificial intelligence (AI) is gaining traction in the neuroimaging community for automated brain region segmentation tasks using MRI. OBJECTIVE Developing and validating AI-based NigraNet, a fully automatic SNc segmentation framework allowing nigral neuromelanin quantification in patients with PD using NM-MRI. METHODS We prospectively included 199 participants comprising 144 early-stage idiopathic PD patients (disease duration = 1.5 ± 1.0 years) and 55 healthy volunteers (HV) scanned using a 3 Tesla MRI including whole brain T1-weighted anatomical imaging and NM-MRI. The regions of interest (ROI) were delineated in all participants automatically using NigraNet, a modified U-net, and compared to manual segmentations performed by two experienced raters. The SNc volumes (Vol), volumes corrected by total intracranial volume (Cvol), normalized signal intensity (NSI) and contrast-to-noise ratio (CNR) were computed. One-way GLM-ANCOVA was performed while adjusting for age and sex as covariates. Diagnostic performance measurement was assessed using the receiver operating characteristic (ROC) analysis. Inter and intra-observer variability were estimated using Dice similarity coefficient (DSC). The agreements between methods were tested using intraclass correlation coefficient (ICC) based on a mean-rating, two-way, mixed-effects model estimates for absolute agreement. Cronbach's alpha and Bland-Altman plots were estimated to assess inter-method consistency. RESULTS Using both methods, Vol, Cvol, NSI and CNR measurements differed between PD and HV with an effect of sex for Cvol and CNR. ICC values between the methods demonstrated optimal agreement for Cvol and CNR (ICC > 0.9) and high reproducibility (DSC: 0.80) was also obtained. The SNc measurements also showed good to excellent consistency values (Cronbach's alpha > 0.87). Bland-Altman plots of agreement demonstrated no association of SNc ROI measurement differences between the methods and ROI average measurements while confirming that 95 % of the data points were ranging between the limits of mean difference (d ± 1.96xSD). Percentage changes between PD and HV were -27.4 % and -17.7 % for Vol, -30.0 % and -22.2 % for Cvol, -15.8 % and -14.4 % for NSI, -17.1 % and -16.0 % for CNR for automatic and manual measurements respectively. Using automatic method, in the entire dataset, we obtained the areas under the ROC curve (AUC) of 0.83 for Vol, 0.85 for Cvol, 0.79 for NSI and 0.77 for CNR whereas in the training dataset of 0.96 for Vol, 0.95 for Cvol, 0.85 for NSI and 0.85 for CNR. Disease duration correlated negatively with NSI of the patients for both the automatic and manual measurements. CONCLUSIONS We presented an AI-based NigraNet framework that utilizes a small MRI training dataset to fully automatize the SNc segmentation procedure with an increased precision and more reproducible results. Considering the consistency, accuracy and speed of our approach, this study could be a crucial step towards the implementation of a time-saving non-rater dependent fully automatic method for studying neuromelanin changes in clinical settings and large-scale neuroimaging studies.
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Affiliation(s)
- Rahul Gaurav
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Movement Investigations and Therapeutics Team (MOV’IT), ICM, Paris, France,Center for NeuroImaging Research – CENIR, ICM, Paris, France,Corresponding author at: Centre de NeuroImagerie de Recherche – CENIR, Institut du Cerveau – ICM, Hôpital Pitié-Salpêtrière, 47 Boulevard de l’Hôpital, 75013 Paris, France.
| | - Romain Valabrègue
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Center for NeuroImaging Research – CENIR, ICM, Paris, France
| | - Lydia Yahia-Chérif
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Center for NeuroImaging Research – CENIR, ICM, Paris, France
| | - Graziella Mangone
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,INSERM, Clinical Investigation Center for Neurosciences (CIC), Pitié-Salpêtrière Hospital, Paris, France
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec, H3A 2B4, Canada
| | - Isabelle Arnulf
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Movement Investigations and Therapeutics Team (MOV’IT), ICM, Paris, France,Sleep Disorders Unit, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Marie Vidailhet
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Movement Investigations and Therapeutics Team (MOV’IT), ICM, Paris, France,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Jean-Christophe Corvol
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,INSERM, Clinical Investigation Center for Neurosciences (CIC), Pitié-Salpêtrière Hospital, Paris, France,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Stéphane Lehéricy
- Paris Brain Institute – ICM, Sorbonne University, UPMC Univ Paris 06, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France,Movement Investigations and Therapeutics Team (MOV’IT), ICM, Paris, France,Center for NeuroImaging Research – CENIR, ICM, Paris, France,Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
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23
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Effects of exploring a novel environment on memory across the lifespan. Sci Rep 2022; 12:16631. [PMID: 36198743 PMCID: PMC9533976 DOI: 10.1038/s41598-022-20562-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/15/2022] [Indexed: 11/23/2022] Open
Abstract
Exploration of a novel environment has been shown to promote memory formation in healthy adults. Studies in animals have suggested that such novelty-induced memory boosts are mediated by hippocampal dopamine. The dopaminergic system is known to develop and deteriorate over the lifespan, but so far, the effects of novelty on memory across the lifespan have not yet been investigated. In the current study, we had children, adolescents, younger, and older adults (n = 439) explore novel and previously familiarized virtual environments to pinpoint the effects of spatial novelty on declarative memory in humans across different age groups. After exploration, words were presented while participants performed a deep or shallow encoding task. Incidental memory was quantified in a surprise test. Results showed that participants in the deep encoding condition remembered more words than those in the shallow condition, while novelty did not influence this effect. Interestingly, however, children, adolescents and younger adults benefitted from exploring a novel compared to a familiar environment as evidenced by better word recall, while these effects were absent in older adults. Our findings suggest that the beneficial effects of novelty on memory follow the deterioration of neural pathways involved in novelty-related processes across the lifespan.
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24
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Lee J, Kim S, Kim YH, Park U, Lee J, McKee AC, Kim KH, Ryu H, Lee J. Non-Targeted Metabolomics Approach Revealed Significant Changes in Metabolic Pathways in Patients with Chronic Traumatic Encephalopathy. Biomedicines 2022; 10:1718. [PMID: 35885023 PMCID: PMC9313062 DOI: 10.3390/biomedicines10071718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/04/2022] [Accepted: 07/12/2022] [Indexed: 12/20/2022] Open
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that is frequently found in athletes and those who have experienced repetitive head traumas. CTE is associated with a variety of neuropathologies, which cause cognitive and behavioral impairments in CTE patients. However, currently, CTE can only be diagnosed after death via brain autopsy, and it is challenging to distinguish it from other neurodegenerative diseases with similar clinical features. To better understand this multifaceted disease and identify metabolic differences in the postmortem brain tissues of CTE patients and control subjects, we performed ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS)-based non-targeted metabolomics. Through multivariate and pathway analysis, we found that the brains of CTE patients had significant changes in the metabolites involved in astrocyte activation, phenylalanine, and tyrosine metabolism. The unique metabolic characteristics of CTE identified in this study were associated with cognitive dysfunction, amyloid-beta deposition, and neuroinflammation. Altogether, this study provided new insights into the pathogenesis of CTE and suggested appealing targets for both diagnosis and treatment for the disease.
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Affiliation(s)
- Jinkyung Lee
- Center for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (J.L.); (Y.H.K.)
- Department of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea;
| | - Suhyun Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (S.K.); (U.P.)
| | - Yoon Hwan Kim
- Center for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (J.L.); (Y.H.K.)
- Department of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea;
| | - Uiyeol Park
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (S.K.); (U.P.)
| | - Junghee Lee
- Boston University Alzheimer’s Disease Research Center (BUADRC), Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA; (J.L.); (A.C.M.)
| | - Ann C. McKee
- Boston University Alzheimer’s Disease Research Center (BUADRC), Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA; (J.L.); (A.C.M.)
| | - Kyoung Heon Kim
- Department of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea;
| | - Hoon Ryu
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (S.K.); (U.P.)
| | - Jeongae Lee
- Center for Advanced Biomolecular Recognition, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea; (J.L.); (Y.H.K.)
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25
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Chougar L, Arsovic E, Gaurav R, Biondetti E, Faucher A, Valabrègue R, Pyatigorskaya N, Dupont G, Lejeune FX, Cormier F, Corvol JC, Vidailhet M, Degos B, Grabli D, Lehéricy S. Regional Selectivity of Neuromelanin Changes in the Substantia Nigra in Atypical Parkinsonism. Mov Disord 2022; 37:1245-1255. [PMID: 35347754 DOI: 10.1002/mds.28988] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Neurodegeneration in the substantia nigra pars compacta (SNc) in parkinsonian syndromes may affect the nigral territories differently. OBJECTIVE The objective of this study was to investigate the regional selectivity of neurodegenerative changes in the SNc in patients with Parkinson's disease (PD) and atypical parkinsonism using neuromelanin-sensitive magnetic resonance imaging (MRI). METHODS A total of 22 healthy controls (HC), 38 patients with PD, 22 patients with progressive supranuclear palsy (PSP), 20 patients with multiple system atrophy (MSA, 13 with the parkinsonian variant, 7 with the cerebellar variant), 7 patients with dementia with Lewy body (DLB), and 4 patients with corticobasal syndrome were analyzed. volume and signal-to-noise ratio (SNR) values of the SNc were derived from neuromelanin-sensitive MRI in the whole SNc. Analysis of signal changes was performed in the sensorimotor, associative, and limbic territories of the SNc. RESULTS SNc volume and corrected volume were significantly reduced in PD, PSP, and MSA versus HC. Patients with PSP had lower volume, corrected volume, SNR, and contrast-to-noise ratio than HC and patients with PD and MSA. Patients with PSP had greater SNR reduction in the associative region than HC and patients with PD and MSA. Patients with PD had reduced SNR in the sensorimotor territory, unlike patients with PSP. Patients with MSA did not differ from patients with PD. CONCLUSIONS This study provides the first MRI comparison of the topography of neuromelanin changes in parkinsonism. The spatial pattern of changes differed between PSP and synucleinopathies. These nigral topographical differences are consistent with the topography of the extranigral involvement in parkinsonian syndromes. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Lydia Chougar
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, DMU DIAMENT, Department of Neuroradiology, F-75013, Paris, France, Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France
| | - Emina Arsovic
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, DMU DIAMENT, Department of Neuroradiology, F-75013, Paris, France, Paris, France
| | - Rahul Gaurav
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France
| | - Emma Biondetti
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France
| | - Alice Faucher
- Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR7241/INSERM U1050, Université PSL, Paris, France.,Service de Neurologie, Hôpital Avicenne, Hôpitaux Universitaires de Paris Seine-Saint-Denis, APHP, Bobigny, France
| | - Romain Valabrègue
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France
| | - Nadya Pyatigorskaya
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, DMU DIAMENT, Department of Neuroradiology, F-75013, Paris, France, Paris, France
| | - Gwendoline Dupont
- Centre hospitalier universitaire François Mitterrand, Département de Neurologie, Université de Bourgogne, Dijon, France
| | - François-Xavier Lejeune
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France.,ICM, Data and Analysis Core, Paris, France
| | - Florence Cormier
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France.,Clinique des mouvements anormaux, Département de Neurologie, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France.,ICM, Centre d'Investigation Clinique Neurosciences, Paris, France
| | - Marie Vidailhet
- ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France.,Clinique des mouvements anormaux, Département de Neurologie, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Paris, France
| | - Bertrand Degos
- Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR7241/INSERM U1050, Université PSL, Paris, France.,Service de Neurologie, Hôpital Avicenne, Hôpitaux Universitaires de Paris Seine-Saint-Denis, APHP, Bobigny, France
| | - David Grabli
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, F-75013, Paris, France.,Clinique des mouvements anormaux, Département de Neurologie, Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stéphane Lehéricy
- ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), Paris, France.,Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, DMU DIAMENT, Department of Neuroradiology, F-75013, Paris, France, Paris, France
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26
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Substance Abuse in Emerging Adults: The Role of Neuromelanin and Ventral Striatal Response to Social and Monetary Rewards. Brain Sci 2022; 12:brainsci12030352. [PMID: 35326308 PMCID: PMC8946041 DOI: 10.3390/brainsci12030352] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/17/2022] [Accepted: 03/03/2022] [Indexed: 11/30/2022] Open
Abstract
Perturbations in dopamine system function may increase risk of substance use disorder (SUD). We recently demonstrated that neuromelanin (NM) MRI signal in the substantia nigra, a non-invasive index of dopamine system function, is elevated in long term cocaine users (Cassidy et al., 2020). However, it is unclear whether elevated NM-MRI signal is linked to risk of SUD, or is a byproduct of long-term drug use. Our prior work failed to show relations between NM-MRI signal and functional engagement of ventral striatum during a monetary reward task. However, social experiences are commonly linked to drug use and relapse. Given that, NM-MRI signal may be more closely linked to ventral striatal engagement during social, rather than monetary reward processing. Emerging adults (n = 33, 21.88 ± 4.35 years) with varying levels of substance abuse, but without SUD, underwent NM-MRI and fMRI during social and monetary reward processing tasks. Voxelwise analysis within the substantia nigra (SN) demonstrated lower NM-MRI signal was associated with more severe substance abuse. Lower right ventral striatal engagement to social reward was also associated with more severe substance abuse. This relation was moderated by SN NM-MRI signal such that diminished striatal response to reward was associated with greater substance abuse among those with low NM-MRI signal, but lower substance abuse among those with high NM-MRI signal. Unexpectedly, higher right ventral striatal engagement during monetary reward was associated with more severe substance abuse. This relation was moderated by SN NM-MRI signal such that greater striatal response to reward was associated with greater substance abuse among those with low NM-MRI signal. Taken together, we provide preliminary evidence that, in emerging adults, low rather than high dopamine system function may increase risk of substance abuse, and strengthen the association between substance use and the brain’s sensitivity to social and monetary outcomes in different ways.
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Xing Y, Sapuan AH, Martín-Bastida A, Naidu S, Tench C, Evans J, Sare G, Schwarz ST, Al-Bachari S, Parkes LM, Kanavou S, Raw J, Silverdale M, Bajaj N, Pavese N, Burn D, Piccini P, Grosset DG, Auer DP. Neuromelanin-MRI to Quantify and Track Nigral Depigmentation in Parkinson's Disease: A Multicenter Longitudinal Study Using Template-Based Standardized Analysis. Mov Disord 2022; 37:1028-1039. [PMID: 35165920 PMCID: PMC9303322 DOI: 10.1002/mds.28934] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 11/24/2021] [Accepted: 01/09/2022] [Indexed: 12/15/2022] Open
Abstract
Background Clinical diagnosis and monitoring of Parkinson's disease (PD) remain challenging because of the lack of an established biomarker. Neuromelanin‐magnetic resonance imaging (NM‐MRI) is an emerging biomarker of nigral depigmentation indexing the loss of melanized neurons but has unknown prospective diagnostic and tracking performance in multicenter settings. Objectives The aim was to investigate the diagnostic accuracy of NM‐MRI in early PD in a multiprotocol setting and to determine and compare serial NM‐MRI changes in PD and controls. Methods In this longitudinal case–control 3 T MRI study, 148 patients and 97 controls were included from six UK clinical centers, of whom 140 underwent a second scan after 1.5 to 3 years. An automated template‐based analysis was applied for subregional substantia nigra NM‐MRI contrast and volume assessment. A point estimate of the period of prediagnostic depigmentation was computed. Results All NM metrics performed well to discriminate patients from controls, with receiver operating characteristic showing 85% accuracy for ventral NM contrast and 83% for volume. Generalizability using a priori volume cutoff was good (79% accuracy). Serial MRI demonstrated accelerated NM loss in patients compared to controls. Ventral NM contrast loss was point estimated to start 5 to 6 years before clinical diagnosis. Ventral nigral depigmentation was greater in the most affected side, more severe cases, and nigral NM volume change correlated with change in motor severity. Conclusions We demonstrate that NM‐MRI provides clinically useful diagnostic information in early PD across protocols, platforms, and sites. It provides methods and estimated depigmentation rates that highlight the potential to detect preclinical PD and track progression for biomarker‐enabled clinical trials. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
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Affiliation(s)
- Yue Xing
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research, Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Abdul Halim Sapuan
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research, Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Antonio Martín-Bastida
- Division of Neurology, Imperial College London, London, United Kingdom.,Department of Neurology and Neurosciences, Clínica Universidad de Navarra, Pamplona-Madrid, Spain
| | - Saadnah Naidu
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,Neurology, Nottingham University Hospital Trust, Nottingham, United Kingdom
| | - Christopher Tench
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research, Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Jonathan Evans
- Neurology, Nottingham University Hospital Trust, Nottingham, United Kingdom
| | - Gillian Sare
- Neurology, Nottingham University Hospital Trust, Nottingham, United Kingdom
| | - Stefan T Schwarz
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,Department of Radiology, Cardiff and Vale University Health Board, Cardiff, United Kingdom
| | - Sarah Al-Bachari
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.,Department of Neurology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom
| | - Laura M Parkes
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Sofia Kanavou
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Jason Raw
- Pennine Acute Hospitals NHS Trust, Oldham, United Kingdom
| | - Monty Silverdale
- Division of Neurology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Nin Bajaj
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Spire Nottingham Hospital, Nottingham, United Kingdom
| | - Nicola Pavese
- Newcastle Magnetic Resonance Centre & Positron Emission Tomography Centre and Clinical Ageing Research Unit, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - David Burn
- Faculty of Medical Sciences, The Medical School, Framlington Place, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Paola Piccini
- Division of Neurology, Imperial College London, London, United Kingdom.,Department of Brain Science, Imperial College London, London, United Kingdom
| | - Donald G Grosset
- Institute for Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Dorothee P Auer
- School of Medicine, Mental Health & Clinical Neurosciences, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research, Nottingham Biomedical Research Centre, Nottingham, United Kingdom
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Gaurav R, Pyatigorskaya N, Biondetti E, Valabrègue R, Yahia-Cherif L, Mangone G, Leu-Semenescu S, Corvol JC, Vidailhet M, Arnulf I, Lehéricy S. Deep Learning-Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder. Mov Disord 2022; 37:1064-1069. [PMID: 35102604 PMCID: PMC9302679 DOI: 10.1002/mds.28933] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 01/06/2022] [Accepted: 01/09/2022] [Indexed: 12/24/2022] Open
Abstract
Background Isolated REM sleep behavior disorder (iRBD) is considered a prodromal stage of parkinsonism. Neurodegenerative changes in the substantia nigra pars compacta (SNc) in parkinsonism can be detected using neuromelanin‐sensitive MRI. Objective To investigate SNc neuromelanin changes in iRBD patients using fully automatic segmentation. Methods We included 47 iRBD patients, 134 early Parkinson's disease (PD) patients and 55 healthy volunteers (HVs) scanned at 3 Tesla. SNc regions‐of‐interest were delineated automatically using convolutional neural network. SNc volumes, volumes corrected by total intracranial volume, signal‐to‐noise ratio (SNR) and contrast‐to‐noise ratio were computed. One‐way general linear models (GLM) analysis of covariance (ANCOVA) was conducted while adjusting for age and sex. Results All SNc measurements differed significantly between the three groups (except SNR in iRBD). Changes in iRBD were intermediate between those in PD and HVs. Conclusions Using fully automated SNc segmentation method and neuromelanin‐sensitive imaging, iRBD patients showed neurodegenerative changes in the SNc at a lower level than in PD patients. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
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Affiliation(s)
- Rahul Gaurav
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France
| | - Nadya Pyatigorskaya
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France.,Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Emma Biondetti
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France
| | - Romain Valabrègue
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - Lydia Yahia-Cherif
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - Graziella Mangone
- Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,INSERM, Clinical Investigation Center for Neurosciences (CIC), Pitié-Salpêtrière Hospital, Paris, France
| | | | - Jean-Christophe Corvol
- Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Marie Vidailhet
- Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Isabelle Arnulf
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France.,Sleep Disorders Unit, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Stéphane Lehéricy
- Center for NeuroImaging Research (CENIR), Paris Brain Institute-ICM, Paris, France.,Sorbonne Université, Paris Brain Institute-ICM, INSERM U1127, CNRS UMR 7225, Pitié-Salpêtrière Hospital, Paris, France.,Movement Investigations and Therapeutics - MOV'IT Team, Paris Brain Institute-ICM, Paris, France.,INSERM, Clinical Investigation Center for Neurosciences (CIC), Pitié-Salpêtrière Hospital, Paris, France
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Parkinson's disease multimodal imaging: F-DOPA PET, neuromelanin-sensitive and quantitative iron-sensitive MRI. NPJ Parkinsons Dis 2021; 7:57. [PMID: 34238927 PMCID: PMC8266835 DOI: 10.1038/s41531-021-00199-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 06/16/2021] [Indexed: 11/08/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative synucleinopathy characterized by the degeneration of neuromelanin (NM)-containing dopaminergic neurons and deposition of iron in the substantia nigra (SN). How regional NM loss and iron accumulation within specific areas of SN relate to nigro-striatal dysfunction needs to be clarified. We measured dopaminergic function in pre- and postcommissural putamen by [18F]DOPA PET in 23 Parkinson's disease patients and 23 healthy control (HC) participants in whom NM content and iron load were assessed in medial and lateral SN, respectively, by NM-sensitive and quantitative R2* MRI. Data analysis consisted of voxelwise regressions testing the group effect and its interaction with NM or iron signals. In PD patients, R2* was selectively increased in left lateral SN as compared to healthy participants, suggesting a local accumulation of iron in Parkinson's disease. By contrast, NM signal differed between PD and HC, without specific regional specificity within SN. Dopaminergic function in posterior putamen decreased as R2* increased in lateral SN, indicating that dopaminergic function impairment progresses with iron accumulation in the SN. Dopaminergic function was also positively correlated with NM signal in lateral SN, indicating that dopaminergic function impairment progresses with depigmentation in the SN. A complex relationship was detected between R2* in the lateral SN and NM signal in the medial SN. In conclusion, multimodal imaging reveals regionally specific relationships between iron accumulation and depigmentation within the SN of Parkinson's disease and provides in vivo insights in its neuropathology.
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Gaurav R, Yahia‐Cherif L, Pyatigorskaya N, Mangone G, Biondetti E, Valabrègue R, Ewenczyk C, Hutchison RM, Cedarbaum JM, Corvol J, Vidailhet M, Lehéricy S. Longitudinal Changes in Neuromelanin MRI Signal in Parkinson's Disease: A Progression Marker. Mov Disord 2021; 36:1592-1602. [PMID: 33751655 PMCID: PMC8359265 DOI: 10.1002/mds.28531] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/07/2021] [Accepted: 01/25/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Development of reliable and accurate imaging biomarkers of dopaminergic cell neurodegeneration is necessary to facilitate therapeutic drug trials in Parkinson's disease (PD). Neuromelanin-sensitive MRI techniques have been effective in detecting neurodegeneration in the substantia nigra pars compacta (SNpc). The objective of the current study was to investigate longitudinal neuromelanin signal changes in the SNpc in PD patients. METHODS In this prospective, longitudinal, observational case-control study, we included 140 PD patients and 64 healthy volunteers divided into 2 cohorts. Cohort I included 99 early PD patients (disease duration, 1.5 ± 1.0 years) and 41 healthy volunteers analyzed at baseline (V1), where 79 PD patients and 32 healthy volunteers were rescanned after 2.0 ± 0.2 years of follow-up (V2). Cohort II included 41 progressing PD patients (disease duration, 9.3 ± 3.7 years) and 23 healthy volunteers at V1, where 30 PD patients were rescanned after 2.4 ± 0.5 years of follow-up. Subjects were scanned at 3 T MRI using 3-dimensional T1-weighted and neuromelanin-sensitive imaging. Regions of interest were delineated manually to calculate SN volumes, volumes corrected by total intracranial volume, signal-to-noise ratio, and contrast-to-noise ratio. RESULTS Results showed (1) significant reduction in volume and volume corrected by total intracranial volume between visits, greater in progressing PD than nonsignificant changes in healthy volunteers; (2) no significant effects of visit for signal intensity (signal-to-noise ratio); (3) significant interaction in volume between group and visit; (4) greater volume corrected by total intracranial volume at baseline in female patients and greater decrease in volume and increase in the contrast-to-noise ratio in progressing female PD patients compared with male patients; and (5) correlations between neuromelanin SN changes and disease severity and duration. CONCLUSIONS We observed a progressive and measurable decrease in neuromelanin-based SN signal and volume in PD, which might allow a direct noninvasive assessment of progression of SN loss and could represent a target biomarker for disease-modifying treatments. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Rahul Gaurav
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
| | - Lydia Yahia‐Cherif
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
| | - Nadya Pyatigorskaya
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
- Department of NeuroradiologyPitié‐Salpêtrière Hospital, AP‐HPParisFrance
| | - Graziella Mangone
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- INSERM, Clinical Investigation Center for Neurosciences, Pitié‐Salpêtrière HospitalParisFrance
| | - Emma Biondetti
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
| | - Romain Valabrègue
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
| | - Claire Ewenczyk
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
- Department of NeurologyPitié‐Salpêtrière Hospital, AP‐HPParisFrance
| | | | | | - Jean‐Christophe Corvol
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- INSERM, Clinical Investigation Center for Neurosciences, Pitié‐Salpêtrière HospitalParisFrance
- Department of NeurologyPitié‐Salpêtrière Hospital, AP‐HPParisFrance
| | - Marie Vidailhet
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
- Department of NeurologyPitié‐Salpêtrière Hospital, AP‐HPParisFrance
| | - Stéphane Lehéricy
- Paris Brain Institute– ICMCenter for NeuroImaging Research – CENIRParisFrance
- ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMRParisFrance
- ICM Team “Movement Investigations and Therapeutics” (MOV'IT)ParisFrance
- Department of NeuroradiologyPitié‐Salpêtrière Hospital, AP‐HPParisFrance
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Aludin S, Schmill LPA. MRI Signs of Parkinson's Disease and Atypical Parkinsonism. ROFO-FORTSCHR RONTG 2021; 193:1403-1410. [PMID: 34034347 DOI: 10.1055/a-1460-8795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Diagnosis of Parkinson's disease and atypical parkinsonism is based on clinical evaluation of the patient's symptoms and on magnetic resonance imaging (MRI) of the brain, which can be supplemented by nuclear medicine techniques. MRI plays a leading role in the differentiation between Parkinson's disease and atypical parkinsonism. While atypical parkinsonism is characterized by relatively specific MRI signs, imaging of Parkinson's disease previously lacked such signs. However, high-field MRI and new optimized MRI sequences now make it possible to define specific MRI signs of Parkinson's disease and have significant potential regarding differentiated imaging, early diagnosis, and imaging of disease progression. METHODS PubMed was selectively searched for literature regarding the definition and discussion of specific MRI signs of Parkinson's disease, as well as the most common types of atypical parkinsonism with a leading motor component. No time frame was set, but the search was particularly focused on current literature. RESULTS This review article discusses the different MRI signs of Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. The pathogenesis of the MRI signs is described, and imaging examples are given. The technical aspects of image acquisition are briefly defined, and the different signs are discussed and compared with regard to their diagnostic significance according to current literature. CONCLUSION The MRI signs of Parkinson's disease, which can be defined with high-field MRI and new optimized MRI sequences, enable differentiated structural image interpretation and consecutive diagnostic workup. Despite the fact that the signs are in need of further validation by bigger studies, they have the potential to achieve significant diagnostic relevance regarding the imaging of Parkinson's disease and atypical parkinsonism. KEY POINTS · High-field MRI and specialized sequences make it possible to define specific MRI signs for neurodegenerative disorders. · Cerebral alterations can be detected in prodromal stages of Parkinson's disease. · The combination of specific MRI signs makes it possible to differentiate between Parkinson's disease and atypical parkinsonism. CITATION FORMAT · Aludin S, Schmill LA. MRI Signs of Parkinson's Disease and Atypical Parkinsonism. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1460-8795.
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Affiliation(s)
- Schekeb Aludin
- Clinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein - Campus Kiel, Germany
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32
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Imaging of the dopamine system with focus on pharmacological MRI and neuromelanin imaging. Eur J Radiol 2021; 140:109752. [PMID: 34004428 DOI: 10.1016/j.ejrad.2021.109752] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/26/2021] [Accepted: 04/29/2021] [Indexed: 11/21/2022]
Abstract
The dopamine system in the brain is involved in a variety of neurologic and psychiatric disorders, such as Parkinson's disease, attention-deficit/hyperactivity disorder and psychosis. Different aspects of the dopamine system can be visualized and measured with positron emission tomography (PET) and single photon emission computed tomography (SPECT), including dopamine receptors, dopamine transporters, and dopamine release. New developments in MR imaging also provide proxy measures of the dopamine system in the brain, offering alternatives with the advantages MR imaging, i.e. no radiation, lower costs, usually less invasive and time consuming. This review will give an overview of these developments with a focus on the most developed techniques: pharmacological MRI (phMRI) and neuromelanin sensitive MRI (NM-MRI). PhMRI is a collective term for functional MRI techniques that administer a pharmacological challenge to assess its effects on brain hemodynamics. By doing so, it indirectly assesses brain neurotransmitter function such as dopamine function. NM-MRI is an upcoming MRI technique that enables in vivo visualization and semi-quantification of neuromelanin in the substantia nigra. Neuromelanin is located in the cell bodies of dopaminergic neurons of the nigrostriatal pathway and can be used as a proxy measure for long term dopamine function or degeneration of dopaminergic neurons. Both techniques are still primarily used in clinical research, but there is promise for clinical application, in particular for NM-MRI in dopaminergic neurodegenerative diseases like Parkinson's disease.
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33
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Biondetti E, Santin MD, Valabrègue R, Mangone G, Gaurav R, Pyatigorskaya N, Hutchison M, Yahia-Cherif L, Villain N, Habert MO, Arnulf I, Leu-Semenescu S, Dodet P, Vila M, Corvol JC, Vidailhet M, Lehéricy S. The spatiotemporal changes in dopamine, neuromelanin and iron characterizing Parkinson's disease. Brain 2021; 144:3114-3125. [PMID: 33978742 PMCID: PMC8634084 DOI: 10.1093/brain/awab191] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/19/2021] [Accepted: 05/06/2021] [Indexed: 11/13/2022] Open
Abstract
In Parkinson's disease, there is a progressive reduction in striatal dopaminergic function, and loss of neuromelanin-containing dopaminergic neurons and increased iron deposition in the substantia nigra. We tested the hypothesis of a relationship between impairment of the dopaminergic system and changes in the iron metabolism. Based on imaging data of patients with prodromal and early clinical Parkinson's disease, we assessed the spatiotemporal ordering of such changes and relationships in the sensorimotor, associative and limbic territories of the nigrostriatal system. Patients with Parkinson's disease (disease duration < 4 years) or idiopathic REM sleep behaviour disorder (a prodromal form of Parkinson's disease) and healthy controls underwent longitudinal examination (baseline and 2-year follow-up). Neuromelanin and iron sensitive MRI and dopamine transporter single-photon emission tomography were performed to assess nigrostriatal levels of neuromelanin, iron, and dopamine. For all three functional territories of the nigrostriatal system, in the clinically most and least affected hemispheres separately, the following was performed: cross-sectional and longitudinal inter-group difference analysis of striatal dopamine and iron, and nigral neuromelanin and iron; in Parkinson's disease patients, exponential fitting analysis to assess the duration of the prodromal phase and the temporal ordering of changes in dopamine, neuromelanin or iron relative to controls; voxel-wise correlation analysis to investigate concomitant spatial changes in dopamine-iron, dopamine-neuromelanin and neuromelanin-iron in the substantia nigra pars compacta. The temporal ordering of dopaminergic changes followed the known spatial pattern of progression involving first the sensorimotor, then the associative and limbic striatal and nigral regions. Striatal dopaminergic denervation occurred first followed by abnormal iron metabolism and finally neuromelanin changes in the substantia nigra pars compacta, which followed the same spatial and temporal gradient observed in the striatum but shifted in time. In conclusion, dopaminergic striatal dysfunction and cell loss in the substantia nigra pars compacta are interrelated with increased nigral iron content.
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Affiliation(s)
- Emma Biondetti
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France
| | - Mathieu D Santin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France
| | - Romain Valabrègue
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France
| | - Graziella Mangone
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, Centre d'Investigation Clinique Neurosciences, 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, 75013 Paris, France
| | - Rahul Gaurav
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France
| | - Nadya Pyatigorskaya
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neuroradiology, 75013 Paris, France
| | | | - Lydia Yahia-Cherif
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France
| | - Nicolas Villain
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, 75013 Paris, France
| | - Marie-Odile Habert
- Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Nuclear Medicine, 75013 Paris, France.,Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale - LIB, 75006 Paris, France
| | - Isabelle Arnulf
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Sleep Disorder Unit, 75013 Paris, France
| | - Smaranda Leu-Semenescu
- Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Sleep Disorder Unit, 75013 Paris, France
| | - Pauline Dodet
- Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Sleep Disorder Unit, 75013 Paris, France
| | - Miquel Vila
- Neurodegenerative Diseases Research Group, Vall d'Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED)-Department of Biochemistry and Molecular Biology, Autonomous University of Barcelona (UAB)-Catalan Institution for Research and Advanced Studies (ICREA), 08010 Barcelona, Spain
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, Centre d'Investigation Clinique Neurosciences, 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, 75013 Paris, France
| | - Marie Vidailhet
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, 75013 Paris, France
| | - Stéphane Lehéricy
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, 75013 Paris, France.,ICM, Centre de NeuroImagerie de Recherche - CENIR, 75013 Paris, France.,ICM, Team "Movement Investigations and Therapeutics" (MOV'IT), 75013 Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neuroradiology, 75013 Paris, France
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Matsuura K, Ii Y, Maeda M, Tabei KI, Satoh M, Umino M, Miyashita K, Ishikawa H, Shindo A, Tomimoto H. Neuromelanin-sensitive magnetic resonance imaging in disease differentiation for parkinsonism or neurodegenerative disease affecting the basal ganglia. Parkinsonism Relat Disord 2021; 87:75-81. [PMID: 34000497 DOI: 10.1016/j.parkreldis.2021.05.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 04/05/2021] [Accepted: 05/04/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Several reports have shown that neuromelanin-sensitive magnetic resonance imaging (NMI) using 3T magnetic resonance imaging is useful for the differential diagnosis of Parkinson's disease (PD), progressive supranuclear palsy (PSP), and other neurological diseases. However, the number of cases in previous studies has been insufficient. We aimed to determine the relationship between NMI and severity of PD and related disorders, and thereby establish the diagnostic utility of NMI for diagnosing neurological diseases. METHODS We enrolled 591 patients (531 subjects after removal of duplicates) with parkinsonism who underwent NMI. The contrast ratio of the locus coeruleus (LC-CR) and the area of the substantia nigra pars compacta (SNc) were analyzed in each patient. RESULTS The patients' clinical diagnoses were as follows: 11 patients in the disease control group (DCG), 244 patients with PD, 49 patients with PSP, and 19 patients with multiple system atrophy with predominant parkinsonism. Additionally, some patients were diagnosed with dementia with Lewy bodies, vascular parkinsonism, and drug-induced parkinsonism. SNc in the patients with PD and PSP was significantly smaller than that in DCG. LC-CR in the patients with PD was lower than that in DCG; furthermore, LC-CR in the patients with PD was significantly lower than that in the patients with PSP. We found that an area under the receiver-operating characteristic curve, indicating diagnostic efficacy, of 0.85 for LC-CR is a promising biomarker for differentiating PD from PSP. CONCLUSION NMI effectively contributes to differentiating neurodegenerative diseases, such as PD and PSP.
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Affiliation(s)
- Keita Matsuura
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan.
| | - Yuichiro Ii
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Ken-Ichi Tabei
- Master Program of Industrial Technology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, 140-0011, Japan
| | - Masayuki Satoh
- Dementia Prevention and Therapeutics, Mie University, Mie, 514-8507, Japan
| | - Maki Umino
- Department of Radiology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Koichi Miyashita
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Akihiro Shindo
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
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35
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Wengler K, Cassidy C, van der Pluijm M, Weinstein JJ, Abi-Dargham A, van de Giessen E, Horga G. Cross-Scanner Harmonization of Neuromelanin-Sensitive MRI for Multisite Studies. J Magn Reson Imaging 2021; 54:1189-1199. [PMID: 33960063 DOI: 10.1002/jmri.27679] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Neuromelanin-sensitive magnetic resonance imaging (NM-MRI) is a validated measure of neuromelanin concentration in the substantia nigra-ventral tegmental area (SN-VTA) complex and is a proxy measure of dopaminergic function with potential as a noninvasive biomarker. The development of generalizable biomarkers requires large-scale samples necessitating harmonization approaches to combine data collected across sites. PURPOSE To develop a method to harmonize NM-MRI across scanners and sites. STUDY TYPE Prospective. POPULATION A total of 128 healthy subjects (18-73 years old; 45% female) from three sites and five MRI scanners. FIELD STRENGTH/SEQUENCE 3.0 T; NM-MRI two-dimensional gradient-recalled echo with magnetization-transfer pulse and three-dimensional T1-weighted images. ASSESSMENT NM-MRI contrast (contrast-to-noise ratio [CNR]) maps were calculated and CNR values within the SN-VTA (defined previously by manual tracing on a standardized NM-MRI template) were determined before harmonization (raw CNR) and after ComBat harmonization (harmonized CNR). Scanner differences were assessed by calculating the classification accuracy of a support vector machine (SVM). To assess the effect of harmonization on biological variability, support vector regression (SVR) was used to predict age and the difference in goodness-of-fit (Δr) was calculated as the correlation (between actual and predicted ages) for the harmonized CNR minus the correlation for the raw CNR. STATISTICAL TESTS Permutation tests were used to determine if SVM classification accuracy was above chance level and if SVR Δr was significant. A P-value <0.05 was considered significant. RESULTS In the raw CNR, SVM MRI scanner classification was above chance level (accuracy = 86.5%). In the harmonized CNR, the accuracy of the SVM was at chance level (accuracy = 29.5%; P = 0.8542). There was no significant difference in age prediction using the raw or harmonized CNR (Δr = -0.06; P = 0.7304). DATA CONCLUSION ComBat harmonization removes differences in SN-VTA CNR across scanners while preserving biologically meaningful variability associated with age. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: 1.
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Affiliation(s)
- Kenneth Wengler
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, USA
| | - Clifford Cassidy
- University of Ottawa Institute of Mental Health Research, affiliated with The Royal, Ottawa, Ontario, Canada
| | - Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jodi J Weinstein
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, USA.,Department of Psychiatry, Stony Brook University, Stony Brook, New York, USA
| | - Anissa Abi-Dargham
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, USA
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Guillermo Horga
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, USA
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36
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Leitão R, Guerreiro C, Nunes RG, Gonçalves N, Galati G, Rosário M, Guedes LC, Ferreira JJ, Reimão S. Neuromelanin Magnetic Resonance Imaging of the Substantia Nigra in Huntington's Disease. J Huntingtons Dis 2021; 9:143-148. [PMID: 32065802 DOI: 10.3233/jhd-190388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Huntington's disease (HD) is an autosomal-dominant neurodegenerative disorder inducing motor, psychiatric changes and cognitive decline, characterized pathologically by striatal atrophy. Pathological changes in the extra-striatal structures, such as the substantia nigra (SN), and abnormalities in pre-synaptic striatal dopamine neurotransmission are also known to occur. Neuromelanin (NM)-sensitive magnetic resonance imaging (NM-MRI) is an innovative technique that was recently developed allowing the in vivo study of pathological changes in the dopaminergic neurons of the SN. OBJECTIVE To investigate the SN MR signal in HD patients. METHODS We performed a cross-sectional study using a specific T1-weighted MR sequence to visualize NM. The areas and signal intensity contrast ratios of the T1 hyperintense SN regions were obtained using a semi-automatic segmentation method. RESULTS A total of 8 HD patients and 12 healthy subjects were evaluated. The SN area was markedly reduced in the HD group compared with the control group (p = 0.02), even after normalization of the SN area with the midbrain area and age correction (p = 0.01). There was a significant reduction in the intensity contrast ratio of the hyperintense SN areas to crus cerebri in HD patients comparing with controls (p = 0.04) after correction for age. CONCLUSIONS NM-sensitive MR techniques were used for the first time to study the SN in HD patients, showing loss of NM in this region, supporting the implication of dopaminergic neuronal changes in disease pathology. Future research needs to be conducted to evaluate the potential of SN area and intensity contrast as biomarkers for HD.
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Affiliation(s)
- Ricardo Leitão
- ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Carla Guerreiro
- Neurological Imaging Department, Hospital de Santa Maria - CHULN, Lisbon, Portugal
| | - Rita G Nunes
- ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Nilza Gonçalves
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Giulia Galati
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Madalena Rosário
- Department of Neuroscience and Mental Health, Neurology, Hospital de Santa Maria - CHULN, Lisbon, Portugal
| | - Leonor Correia Guedes
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Department of Neuroscience and Mental Health, Neurology, Hospital de Santa Maria - CHULN, Lisbon, Portugal
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,CNS - Campus Neurológico Sénior, Torres Vedras, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Sofia Reimão
- Neurological Imaging Department, Hospital de Santa Maria - CHULN, Lisbon, Portugal.,Imaging University Clinic, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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37
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Vaillancourt DE, Mitchell T. Parkinson's disease progression in the substantia nigra: location, location, location. Brain 2021; 143:2628-2630. [PMID: 32947614 DOI: 10.1093/brain/awaa252] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
This scientific commentary refers to ‘Spatiotemporal changes in substantia nigra neuromelanin content in Parkinson’s disease’, by Biondetti et al. (doi:10.1093/brain/awaa216
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Affiliation(s)
- David E Vaillancourt
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, USA.,Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.,J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Trina Mitchell
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
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38
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Liman J, Wolff von Gudenberg A, Baehr M, Paulus W, Neef NE, Sommer M. Enlarged Area of Mesencephalic Iron Deposits in Adults Who Stutter. Front Hum Neurosci 2021; 15:639269. [PMID: 33643015 PMCID: PMC7904683 DOI: 10.3389/fnhum.2021.639269] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 01/20/2021] [Indexed: 12/28/2022] Open
Abstract
PURPOSE Childhood onset speech fluency disorder (stuttering) is possibly related to dopaminergic dysfunction. Mesencephalic hyperechogenicity (ME) detected by transcranial ultrasound (TCS) might be seen as an indirect marker of dopaminergic dysfunction. We here determined whether adults who stutter since childhood (AWS) show ME. METHODS We performed TCS in ten AWS and ten matched adults who never stuttered. We also assessed motor performance in finger tapping and in the 25 Foot Walking test. RESULTS Compared to controls, AWS showed enlarged ME on either side. Finger tapping was slower in AWS. Walking cadence, i.e., the ratio of number of steps by time, tended to be higher in AWS than in control participants. DISCUSSION The results demonstrate a motor deficit in AWS linked to dopaminergic dysfunction and extending beyond speech. Since iron deposits evolve in childhood and shrink thereafter, ME might serve as an easily quantifiable biomarker helping to predict the risk of persistency in children who stutter.
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Affiliation(s)
- Jan Liman
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Mathias Baehr
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Nicole E. Neef
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Martin Sommer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
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39
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Wang L, Yan Y, Zhang L, Liu Y, Luo R, Chang Y. Substantia nigra neuromelanin magnetic resonance imaging in patients with different subtypes of Parkinson disease. J Neural Transm (Vienna) 2021; 128:171-179. [PMID: 33559725 PMCID: PMC7914244 DOI: 10.1007/s00702-020-02295-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 12/19/2020] [Indexed: 01/18/2023]
Abstract
Neuromelanin (NM) is a dark pigment that mainly exists in neurons of the substantia nigra pars compacta (SNc). In Parkinson disease (PD) patients, NM concentration decreases gradually with degeneration and necrosis of dopamine neurons, suggesting potential use as a PD biomarker. We aimed to evaluate associations between NM concentration in in vivo SN and PD progression and different motor subtypes using NM magnetic resonance imaging (NM-MRI). Fifty-four patients with idiopathic PD were enrolled. Patients were divided into groups by subtypes with different clinical symptoms: tremor dominant (TD) group and postural instability and gait difficulty (PIGD) group. Fifteen healthy age-matched volunteers were enrolled as controls. All subjects underwent clinical assessment and NM-MRI examination. PD patients showed significantly decreased contrast-to-noise ratio (CNR) values in medial and lateral SN (P < 0.05) compared to controls. CNR values in lateral SN region decreased linearly with PD progression (P = 0.001). PIGD patients showed significant decreases in CNR mean values in lateral SN compared to TD patients (P = 0.004). Diagnostic accuracy of using lateral substantia nigra (SN) in TD and PIGD groups was 79% (sensitivity 76.5%, specificity 78.6%). NM concentration in PD patients decreases gradually during disease progression and differs significantly between PD subtypes. NM may be a reliable biomarker for PD severity and subtype identification.
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Affiliation(s)
- Lu Wang
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China
| | - Yayun Yan
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China
| | - Liyao Zhang
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China
| | - Yan Liu
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China
| | - Ruirui Luo
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China
| | - Ying Chang
- Department of Neurology, China-Japan Union Hospital of Jilin University, Xiantai street 126, Changchun, 130033, Jilin Province, China.
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40
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Zhang S, Wang Y, Liu L, Zhang L, Ma L, Wu H, He X, Zhu M, Wang L, Mei F. Case Report of a pathologically confirmed vascular parkinsonism with early cognitive impairment and Behavioral disturbance. BMC Neurol 2021; 21:15. [PMID: 33430818 PMCID: PMC7798293 DOI: 10.1186/s12883-020-02038-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/28/2020] [Indexed: 12/04/2022] Open
Abstract
Background Vascular Parkinsonism(VaP) is defined as parkinsonism resulting from cerebral vascular disease(CVD), with presence of variable motor and non-motor signs that are corroborated by clinical, anatomic or imaging findings of cerebrovascular disease. Overlapping syndromes with mixed pathologies make VaP difficult to distinguish from primary neurodegenerative parkinsonism.To understand the clinical and pathological features of VaP,we report a case of autopsy confirmed vascular Parkinsonism that was clinical misdiagnosed as idiopathic Parkinson’s disease.Clinical features include early mixed symptoms of dementia,behavioral disturbance and parkinsonism that were similar to Dementia with lewy Body(DLB) and Parkinson disease Dementia(PDD). Case presentation A 84-year-old man presented progressive parkinsonism with prominent postural instability, gait impairment, pseudobulbar, early cognitive impairment, irritability, hallucination, urinary symptoms and poor responsiveness to dopaminergic drugs. He was clinically diagnosed as Parkinson disease(PD). In the post-mortem study, we examined Aβ and phospho-tau as pathological biomarker for Alzheimer’s disease(AD), α-synucleing in medulla, pons and midbrain for PD and DLB. Hematoxylin and eosin staining in cerebral cortex, cerebellum and brainstem examines vascular pathological changes and microvascular lesion.Neither Lewy bodies in the substantia nigra ,locus ceruleus and cerebrumnor accumulation of Aβ, neurofibrillary tangles were noted. Instead, there were many cerebral infarctions and widespread arteriosclerosis in the brain. The final brain autopsy supported a diagnosis of VaP not PD. Conclusions This case of pathologically confirmed VaP misdiagnosed as idiopathic PD suggested that we must be vigilant about the possibility of VaP for patients with parkinsonisms, cognitive impairments, early behavioral and psychological symptoms,imaging performances of cerebral small vessel disease and other vascular damages.
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Affiliation(s)
- Shouzi Zhang
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China.
| | - Yuanyuan Wang
- Chinese People's Liberation Army General Hospital, Beijing, 100853, P.R. China
| | - Lixin Liu
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China
| | - Li Zhang
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China
| | - Li Ma
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China
| | - Haiyan Wu
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China
| | - Xuelin He
- Department of Psychiatry, Beijing Geriatric Hospital, 100095, Beijing, P.R. China
| | - Mingwei Zhu
- Chinese People's Liberation Army General Hospital, Beijing, 100853, P.R. China
| | - Luning Wang
- Chinese People's Liberation Army General Hospital, Beijing, 100853, P.R. China
| | - Fan Mei
- Institute of Systems Biomedicine, Peking University Health Science Center, Beijing, 100191, P.R. China
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Oshima S, Fushimi Y, Okada T, Nakajima S, Yokota Y, Shima A, Grinstead J, Ahn S, Sawamoto N, Takahashi R, Nakamoto Y. Neuromelanin-Sensitive Magnetic Resonance Imaging Using DANTE Pulse. Mov Disord 2020; 36:874-882. [PMID: 33314293 PMCID: PMC8247273 DOI: 10.1002/mds.28417] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/14/2020] [Accepted: 11/16/2020] [Indexed: 12/22/2022] Open
Abstract
Background Neuromelanin‐sensitive magnetic resonance imaging techniques have been developed but currently require relatively long scan times. The aim of this study was to assess the ability of black‐blood delay alternating with nutation for tailored excitation‐prepared T1‐weighted variable flip angle turbo spin echo (DANTE T1‐SPACE), which provides relatively high resolution with a short scan time, to visualize neuromelanin in the substantia nigra pars compacta (SNpc). Methods Participants comprised 49 healthy controls and 25 patients with Parkinson's disease (PD). Contrast ratios of SNpc and hyperintense SNpc areas, which show pixels brighter than thresholds, were assessed between DANTE T1‐SPACE and T1‐SPACE in healthy controls. To evaluate the diagnostic ability of DANTE T1‐SPACE, the contrast ratios and hyperintense areas were compared between healthy and PD groups, and receiver operating characteristic analyses were performed. We also compared areas under the curve (AUCs) between DANTE T1‐SPACE and the previously reported gradient echo neuromelanin (GRE‐NM) imaging. Each analysis was performed using original images in native space and images transformed into Montreal Neurological Institute space. Values of P < 0.05 were considered significant. Results DANTE T1‐SPACE showed significantly higher contrast ratios and larger hyperintense areas than T1‐SPACE. On DANTE T1‐SPACE, healthy controls showed significantly higher contrast ratios and larger hyperintense areas than patients with PD. Hyperintense areas in native space analysis achieved the best AUC (0.94). DANTE T1‐SPACE showed AUCs as high as those of GRE‐NM. Conclusions DANTE T1‐SPACE successfully visualized neuromelanin of the SNpc and showed potential for evaluating PD. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society ![]()
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Affiliation(s)
- Sonoko Oshima
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomohisa Okada
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Nakajima
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Yokota
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Atsushi Shima
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | | | - Sinyeob Ahn
- Siemens Healthineers, San Francisco, California, USA
| | - Nobukatsu Sawamoto
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Priovoulos N, van Boxel SCJ, Jacobs HIL, Poser BA, Uludag K, Verhey FRJ, Ivanov D. Unraveling the contributions to the neuromelanin-MRI contrast. Brain Struct Funct 2020; 225:2757-2774. [PMID: 33090274 PMCID: PMC7674382 DOI: 10.1007/s00429-020-02153-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 10/01/2020] [Indexed: 12/11/2022]
Abstract
The Locus Coeruleus (LC) and the Substantia Nigra (SN) are small brainstem nuclei that change with aging and may be involved in the development of various neurodegenerative and psychiatric diseases. Magnetization Transfer (MT) MRI has been shown to facilitate LC and the SN visualization, and the observed contrast is assumed to be related to neuromelanin accumulation. Imaging these nuclei may have predictive value for the progression of various diseases, but interpretation of previous studies is hindered by the fact that the precise biological source of the contrast remains unclear, though several hypotheses have been put forward. To inform clinical studies on the possible biological interpretation of the LC- and SN contrast, we examined an agar-based phantom containing samples of natural Sepia melanin and synthetic Cys-Dopa-Melanin and compared this to the in vivo human LC and SN. T1 and T2* maps, MT spectra and relaxation times of the phantom, the LC and the SN were measured, and a two-pool MT model was fitted. Additionally, Bloch simulations and a transient MT experiment were conducted to confirm the findings. Overall, our results indicate that Neuromelanin-MRI contrast in the LC likely results from a lower macromolecular fraction, thus facilitating interpretation of results in clinical populations. We further demonstrate that in older individuals T1 lengthening occurs in the LC.
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Affiliation(s)
- Nikos Priovoulos
- School for Mental Health and Neuroscience, Alzheimer Center Limburg, Faculty of Health, Medicine and Life Science, Maastricht University, Maastricht, Netherlands.
| | - Stan C J van Boxel
- School for Mental Health and Neuroscience, Alzheimer Center Limburg, Faculty of Health, Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - Heidi I L Jacobs
- School for Mental Health and Neuroscience, Alzheimer Center Limburg, Faculty of Health, Medicine and Life Science, Maastricht University, Maastricht, Netherlands.,Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.,Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Benedikt A Poser
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Kamil Uludag
- Center for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon, Republic of Korea.,Techna Institute and Koerner Scientist in MR Imaging, University Health Network, 121-100 College Street, Toronto, M5G 1L5, Canada
| | - Frans R J Verhey
- School for Mental Health and Neuroscience, Alzheimer Center Limburg, Faculty of Health, Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - Dimo Ivanov
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
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van der Pluijm M, Cassidy C, Zandstra M, Wallert E, de Bruin K, Booij J, de Haan L, Horga G, van de Giessen E. Reliability and Reproducibility of Neuromelanin-Sensitive Imaging of the Substantia Nigra: A Comparison of Three Different Sequences. J Magn Reson Imaging 2020; 53:712-721. [PMID: 33037730 PMCID: PMC7891576 DOI: 10.1002/jmri.27384] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/14/2020] [Accepted: 09/18/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Neuromelanin-sensitive MRI (NM-MRI) of the substantia nigra provides a noninvasive way to acquire an indirect measure of dopamine functioning. Despite the potential of NM-MRI as a candidate biomarker for dopaminergic pathology, studies about its reproducibility are sparse. PURPOSE To assess the test-retest reproducibility of three commonly used NM-MRI sequences and evaluate three analysis methods. STUDY TYPE Prospective study. POPULATION A total of 11 healthy participants age between 20-27 years. FIELD STRENGTH/SEQUENCE 3.0T; NM-MRI gradient recalled echo (GRE) with magnetization transfer (MT) pulse; NM-MRI turbo spin echo (TSE) with MT pulse; NM-MRI TSE without MT pulse. ASSESSMENT Participants were scanned twice with a 3-week interval. Manual analysis, threshold analysis, and voxelwise analysis were performed for volume and contrast ratio (CR) measurements. STATISTICAL TESTS Intraclass correlation coefficients (ICCs) were calculated for test-retest and inter- and intrarater variability. RESULTS The GRE sequence achieved the highest contrast and lowest variability (4.9-5.7%) and showed substantial to almost perfect test-retest ICC (0.72-0.90) for CR measurements. For volume measurements, the manual analysis showed a higher variability (10.7-17.9%) and scored lower test-retest ICCs (-0.13-0.73) than the other analysis methods. The threshold analysis showed higher test-retest ICC (0.77) than the manual analysis for the volume measurements. DATA CONCLUSION NM-MRI is a highly reproducible measure, especially when using the GRE sequence and CR measurements. Volume measurements appear to be more sensitive to inter/intrarater variability and variability in placement and orientation of the NM-MRI slab. The threshold analysis appears to be the best alternative for volume analysis. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Clifford Cassidy
- University of Ottawa Institute of Mental Health Research, affiliated with The Royal, Ottawa, Ontario, Canada
| | - Melissa Zandstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Elon Wallert
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Kora de Bruin
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Guillermo Horga
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, New York, USA
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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44
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D’Mello SR, Kindy MC. Overdosing on iron: Elevated iron and degenerative brain disorders. Exp Biol Med (Maywood) 2020; 245:1444-1473. [PMID: 32878460 PMCID: PMC7553095 DOI: 10.1177/1535370220953065] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPACT STATEMENT Brain degenerative disorders, which include some neurodevelopmental disorders and age-associated diseases, cause debilitating neurological deficits and are generally fatal. A large body of emerging evidence indicates that iron accumulation in neurons within specific regions of the brain plays an important role in the pathogenesis of many of these disorders. Iron homeostasis is a highly complex and incompletely understood process involving a large number of regulatory molecules. Our review provides a description of what is known about how iron is obtained by the body and brain and how defects in the homeostatic processes could contribute to the development of brain diseases, focusing on Alzheimer's disease and Parkinson's disease as well as four other disorders belonging to a class of inherited conditions referred to as neurodegeneration based on iron accumulation (NBIA) disorders. A description of potential therapeutic approaches being tested for each of these different disorders is provided.
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Affiliation(s)
| | - Mark C Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
- James A. Haley Veterans Affairs Medical Center, Tampa, FL 33612, USA
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45
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Biondetti E, Gaurav R, Yahia-Cherif L, Mangone G, Pyatigorskaya N, Valabrègue R, Ewenczyk C, Hutchison M, François C, Arnulf I, Corvol JC, Vidailhet M, Lehéricy S. Spatiotemporal changes in substantia nigra neuromelanin content in Parkinson’s disease. Brain 2020; 143:2757-2770. [DOI: 10.1093/brain/awaa216] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/11/2020] [Accepted: 05/08/2020] [Indexed: 02/03/2023] Open
Abstract
Abstract
This study aimed to investigate the spatiotemporal changes in neuromelanin-sensitive MRI signal in the substantia nigra and their relation to clinical scores of disease severity in patients with early or progressing Parkinson’s disease and patients with idiopathic rapid eye movement sleep behaviour disorder (iRBD) exempt of Parkinsonian signs compared to healthy control subjects. Longitudinal T1-weighted anatomical and neuromelanin-sensitive MRI was performed in two cohorts, including patients with iRBD, patients with early or progressing Parkinson’s disease, and control subjects. Based on the aligned substantia nigra segmentations using a study-specific brain anatomical template, parametric maps of the probability of a voxel belonging to the substantia nigra were calculated for patients with various degrees of disease severity and controls. For each voxel in the substantia nigra, probability map of controls, correlations between signal-to-noise ratios on neuromelanin-sensitive MRI in patients with iRBD and Parkinson’s disease and clinical scores of motor disability, cognition and mood/behaviour were calculated. Our results showed that in patients, compared to the healthy control subjects, the volume of the substantia nigra was progressively reduced for increasing disease severity. The neuromelanin signal changes appeared to start in the posterolateral motor areas of the substantia nigra and then progressed to more medial areas of this region. The ratio between the volume of the substantia nigra in patients with Parkinson’s disease relative to the controls was best fitted by a mono-exponential decay. Based on this model, the pre-symptomatic phase of the disease started at 5.3 years before disease diagnosis, and 23.1% of the substantia nigra volume was lost at the time of diagnosis, which was in line with previous findings using post-mortem histology of the human substantia nigra and radiotracer studies of the human striatum. Voxel-wise patterns of correlation between neuromelanin-sensitive MRI signal-to-noise ratio and motor, cognitive and mood/behavioural clinical scores were localized in distinct regions of the substantia nigra. This localization reflected the functional organization of the nigrostriatal system observed in histological and electrophysiological studies in non-human primates (motor, cognitive and mood/behavioural domains). In conclusion, neuromelanin-sensitive MRI enabled us to assess voxel-wise modifications of substantia nigra’s morphology in vivo in humans, including healthy controls, patients with iRBD and patients with Parkinson’s disease, and identify their correlation with nigral function across all motor, cognitive and behavioural domains. This insight could help assess disease progression in drug trials of disease modification.
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Affiliation(s)
- Emma Biondetti
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
| | - Rahul Gaurav
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
| | - Lydia Yahia-Cherif
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France
| | - Graziella Mangone
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- National Institute of Health and Medical Research - INSERM, Clinical Investigation Centre, Pitié-Salpêtrière Hospital, Paris, France
| | - Nadya Pyatigorskaya
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
- Department of Neuroradiology, Pitié-Salpêtrière Hospital, Public Assistance - Paris Hospitals (AP-HP), Paris, France
| | - Romain Valabrègue
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France
| | - Claire Ewenczyk
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
- Department of Neurology, Pitié-Salpêtrière Hospital, Public Assistance - Paris Hospitals (AP-HP), Paris, France
| | | | - Chantal François
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Isabelle Arnulf
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
- Sleep Disorders Unit, Pitié-Salpêtrière Hospital, Public Assistance – Paris Hospitals (AP-HP), Paris, France
| | - Jean-Christophe Corvol
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- National Institute of Health and Medical Research - INSERM, Clinical Investigation Centre, Pitié-Salpêtrière Hospital, Paris, France
- Department of Neurology, Pitié-Salpêtrière Hospital, Public Assistance - Paris Hospitals (AP-HP), Paris, France
| | - Marie Vidailhet
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
- Department of Neurology, Pitié-Salpêtrière Hospital, Public Assistance - Paris Hospitals (AP-HP), Paris, France
| | - Stéphane Lehéricy
- Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France
- ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France
- Department of Neuroradiology, Pitié-Salpêtrière Hospital, Public Assistance - Paris Hospitals (AP-HP), Paris, France
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46
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Grubić Kezele T, Ćurko-Cofek B. Age-Related Changes and Sex-Related Differences in Brain Iron Metabolism. Nutrients 2020; 12:E2601. [PMID: 32867052 PMCID: PMC7551829 DOI: 10.3390/nu12092601] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/21/2022] Open
Abstract
Iron is an essential element that participates in numerous cellular processes. Any disruption of iron homeostasis leads to either iron deficiency or iron overload, which can be detrimental for humans' health, especially in elderly. Each of these changes contributes to the faster development of many neurological disorders or stimulates progression of already present diseases. Age-related cellular and molecular alterations in iron metabolism can also lead to iron dyshomeostasis and deposition. Iron deposits can contribute to the development of inflammation, abnormal protein aggregation, and degeneration in the central nervous system (CNS), leading to the progressive decline in cognitive processes, contributing to pathophysiology of stroke and dysfunctions of body metabolism. Besides, since iron plays an important role in both neuroprotection and neurodegeneration, dietary iron homeostasis should be considered with caution. Recently, there has been increased interest in sex-related differences in iron metabolism and iron homeostasis. These differences have not yet been fully elucidated. In this review we will discuss the latest discoveries in iron metabolism, age-related changes, along with the sex differences in iron content in serum and brain, within the healthy aging population and in neurological disorders such as multiple sclerosis, Parkinson's disease, Alzheimer's disease, and stroke.
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Affiliation(s)
- Tanja Grubić Kezele
- Department of Physiology and Immunology, Faculty of Medicine, University of Rijeka, Braće Branchetta 20, 51000 Rijeka, Croatia;
- Clinical Department for Clinical Microbiology, Clinical Hospital Center Rijeka, Krešimirova 42, 51000 Rijeka, Croatia
| | - Božena Ćurko-Cofek
- Department of Physiology and Immunology, Faculty of Medicine, University of Rijeka, Braće Branchetta 20, 51000 Rijeka, Croatia;
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47
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Nakata Y, Sakamoto A, Kawata A. Neuromelanin imaging analyses of the substantia nigra in patients with Machado-Joseph disease. Neuroradiology 2020; 62:1433-1439. [DOI: 10.1007/s00234-020-02479-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 06/11/2020] [Indexed: 12/31/2022]
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48
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Cerri S, Mus L, Blandini F. Parkinson's Disease in Women and Men: What's the Difference? JOURNAL OF PARKINSONS DISEASE 2020; 9:501-515. [PMID: 31282427 PMCID: PMC6700650 DOI: 10.3233/jpd-191683] [Citation(s) in RCA: 295] [Impact Index Per Article: 73.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Increasing evidence points to biological sex as an important factor in the development and phenotypical expression of Parkinson’s disease (PD). Risk of developing PD is twice as high in men than women, but women have a higher mortality rate and faster progression of the disease. Moreover, motor and nonmotor symptoms, response to treatments and disease risk factors differ between women and men. Altogether, sex-related differences in PD support the idea that disease development might involve distinct pathogenic mechanisms (or the same mechanism but in a different way) in male and female patients. This review summarizes the most recent knowledge concerning differences between women and men in PD clinical features, risk factors, response to treatments and mechanisms underlying the disease pathophysiology. Unraveling how the pathology differently affect the two sexes might allow the development of tailored interventions and the design of innovative programs that meet the distinct needs of men and women, improving patient care.
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Affiliation(s)
- Silvia Cerri
- Laboratory of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Liudmila Mus
- Laboratory of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Fabio Blandini
- Laboratory of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, Pavia, Italy
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49
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Trifonova OP, Maslov DL, Balashova EE, Urazgildeeva GR, Abaimov DA, Fedotova EY, Poleschuk VV, Illarioshkin SN, Lokhov PG. Parkinson's Disease: Available Clinical and Promising Omics Tests for Diagnostics, Disease Risk Assessment, and Pharmacotherapy Personalization. Diagnostics (Basel) 2020; 10:E339. [PMID: 32466249 PMCID: PMC7277996 DOI: 10.3390/diagnostics10050339] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/21/2020] [Accepted: 05/22/2020] [Indexed: 12/15/2022] Open
Abstract
Parkinson's disease is the second most frequent neurodegenerative disease, representing a significant medical and socio-economic problem. Modern medicine still has no answer to the question of why Parkinson's disease develops and whether it is possible to develop an effective system of prevention. Therefore, active work is currently underway to find ways to assess the risks of the disease, as well as a means to extend the life of patients and improve its quality. Modern studies aim to create a method of assessing the risk of occurrence of Parkinson's disease (PD), to search for the specific ways of correction of biochemical disorders occurring in the prodromal stage of Parkinson's disease, and to personalize approaches to antiparkinsonian pharmacotherapy. In this review, we summarized all available clinically approved tests and techniques for PD diagnostics. Then, we reviewed major improvements and recent advancements in genomics, transcriptomics, and proteomics studies and application of metabolomics in PD research, and discussed the major metabolomics findings for diagnostics and therapy of the disease.
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Affiliation(s)
- Oxana P. Trifonova
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Dmitri L. Maslov
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Elena E. Balashova
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Guzel R. Urazgildeeva
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Denis A. Abaimov
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Ekaterina Yu. Fedotova
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Vsevolod V. Poleschuk
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Sergey N. Illarioshkin
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Petr G. Lokhov
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
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50
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Shepherd TM, Ades-Aron B, Bruno M, Schambra HM, Hoch MJ. Direct In Vivo MRI Discrimination of Brain Stem Nuclei and Pathways. AJNR Am J Neuroradiol 2020; 41:777-784. [PMID: 32354712 DOI: 10.3174/ajnr.a6542] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 03/19/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE The brain stem is a complex configuration of small nuclei and pathways for motor, sensory, and autonomic control that are essential for life, yet internal brain stem anatomy is difficult to characterize in living subjects. We hypothesized that the 3D fast gray matter acquisition T1 inversion recovery sequence, which uses a short inversion time to suppress signal from white matter, could improve contrast resolution of brain stem pathways and nuclei with 3T MR imaging. MATERIALS AND METHODS After preliminary optimization for contrast resolution, the fast gray matter acquisition T1 inversion recovery sequence was performed in 10 healthy subjects (5 women; mean age, 28.8 ± 4.8 years) with the following parameters: TR/TE/TI = 3000/2.55/410 ms, flip angle = 4°, isotropic resolution = 0.8 mm, with 4 averages (acquired separately and averaged outside k-space to reduce motion; total scan time = 58 minutes). One subject returned for an additional 5-average study that was combined with a previous session to create a highest quality atlas for anatomic assignments. A 1-mm isotropic resolution, 12-minute version, proved successful in a patient with a prior infarct. RESULTS The fast gray matter acquisition T1 inversion recovery sequence generated excellent contrast resolution of small brain stem pathways in all 3 planes for all 10 subjects. Several nuclei could be resolved directly by image contrast alone or indirectly located due to bordering visualized structures (eg, locus coeruleus and pedunculopontine nucleus). CONCLUSIONS The fast gray matter acquisition T1 inversion recovery sequence has the potential to provide imaging correlates to clinical conditions that affect the brain stem, improve neurosurgical navigation, validate diffusion tractography of the brain stem, and generate a 3D atlas for automatic parcellation of specific brain stem structures.
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Affiliation(s)
- T M Shepherd
- From the Departments of Radiology (T.M.S., B.A.-A., M.B.)
| | - B Ades-Aron
- From the Departments of Radiology (T.M.S., B.A.-A., M.B.).,Electrical and Computer Engineering (B.A.-A.)
| | - M Bruno
- From the Departments of Radiology (T.M.S., B.A.-A., M.B.)
| | - H M Schambra
- Neurology (H.M.S.), New York University, New York, New York
| | - M J Hoch
- Department of Radiology (M.J.H.), University of Pennsylvania, Philadelphia, Pennsylvania
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