Literature DB >> 34459865

Emerging Neuroimaging Biomarkers Across Disease Stage in Parkinson Disease: A Review.

Trina Mitchell1, Stéphane Lehéricy2, Shannon Y Chiu3, Antonio P Strafella4,5,6, A Jon Stoessl7, David E Vaillancourt1,3,8.   

Abstract

Importance: Imaging biomarkers in Parkinson disease (PD) are increasingly important for monitoring progression in clinical trials and also have the potential to improve clinical care and management. This Review addresses a critical need to make clear the temporal relevance for diagnostic and progression imaging biomarkers to be used by clinicians and researchers over the clinical course of PD. Magnetic resonance imaging (diffusion imaging, neuromelanin-sensitive imaging, iron-sensitive imaging, T1-weighted imaging), positron emission tomography/single-photon emission computed tomography dopaminergic, serotonergic, and cholinergic imaging as well as metabolic and cerebral blood flow network neuroimaging biomarkers in the preclinical, prodromal, early, and moderate to late stages are characterized. Observations: If a clinical trial is being carried out in the preclinical and prodromal stages, potentially useful disease-state biomarkers include dopaminergic imaging of the striatum; metabolic imaging; free-water, neuromelanin-sensitive, and iron-sensitive imaging in the substantia nigra; and T1-weighted structural magnetic resonance imaging. Disease-state biomarkers that can distinguish atypical parkinsonisms are metabolic imaging, free-water imaging, and T1-weighted imaging; dopaminergic imaging and other molecular imaging track progression in prodromal patients, whereas other established progression biomarkers need to be evaluated in prodromal cohorts. Progression in early-stage PD can be monitored using dopaminergic imaging in the striatum, metabolic imaging, and free-water and neuromelanin-sensitive imaging in the posterior substantia nigra. Progression in patients with moderate to late-stage PD can be monitored using free-water imaging in the anterior substantia nigra, R2* of substantia nigra, and metabolic imaging. Cortical thickness and gyrification might also be useful markers or predictors of progression. Dopaminergic imaging and free-water imaging detect progression over 1 year, whereas other modalities detect progression over 18 months or longer. The reliability of progression biomarkers varies with disease stage, whereas disease-state biomarkers are relatively consistent in individuals with preclinical, prodromal, early, and moderate to late-stage PD. Conclusions and Relevance: Imaging biomarkers for various stages of PD are readily available to be used as outcome measures in clinical trials and are potentially useful in multimodal combination with routine clinical assessment. This Review provides a critically important template for considering disease stage when implementing diagnostic and progression biomarkers in both clinical trials and clinical care settings.

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Mesh:

Year:  2021        PMID: 34459865      PMCID: PMC9017381          DOI: 10.1001/jamaneurol.2021.1312

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   29.907


  90 in total

1.  Free water elimination and mapping from diffusion MRI.

Authors:  Ofer Pasternak; Nir Sochen; Yaniv Gur; Nathan Intrator; Yaniv Assaf
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

2.  Imaging brain iron and diffusion patterns: a follow-up study of Parkinson's disease in the initial stages.

Authors:  Maija Elina Rossi; Hanna Ruottinen; Tiia Saunamäki; Irina Elovaara; Prasun Dastidar
Journal:  Acad Radiol       Date:  2014-01       Impact factor: 3.173

3.  Neuromelanin-sensitive MRI as a noninvasive proxy measure of dopamine function in the human brain.

Authors:  Clifford M Cassidy; Fabio A Zucca; Ragy R Girgis; Seth C Baker; Jodi J Weinstein; Madeleine E Sharp; Chiara Bellei; Alice Valmadre; Nora Vanegas; Lawrence S Kegeles; Gary Brucato; Un Jung Kang; David Sulzer; Luigi Zecca; Anissa Abi-Dargham; Guillermo Horga
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-22       Impact factor: 11.205

Review 4.  The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward.

Authors:  Stéphane Lehericy; David E Vaillancourt; Klaus Seppi; Oury Monchi; Irena Rektorova; Angelo Antonini; Martin J McKeown; Mario Masellis; Daniela Berg; James B Rowe; Simon J G Lewis; Caroline H Williams-Gray; Alessandro Tessitore; Hartwig R Siebner
Journal:  Mov Disord       Date:  2017-03-28       Impact factor: 10.338

5.  Quantitative susceptibility mapping differentiates between parkinsonian disorders.

Authors:  Henrik Sjöström; Tobias Granberg; Eric Westman; Per Svenningsson
Journal:  Parkinsonism Relat Disord       Date:  2017-09-01       Impact factor: 4.891

6.  Cholinergic Denervation Patterns Across Cognitive Domains in Parkinson's Disease.

Authors:  Sygrid van der Zee; Martijn L T M Müller; Prabesh Kanel; Teus van Laar; Nicolaas I Bohnen
Journal:  Mov Disord       Date:  2020-11-02       Impact factor: 10.338

7.  Longitudinal whole-brain atrophy and ventricular enlargement in nondemented Parkinson's disease.

Authors:  Elijah Mak; Li Su; Guy B Williams; Michael J Firbank; Rachael A Lawson; Alison J Yarnall; Gordon W Duncan; Brit Mollenhauer; Adrian M Owen; Tien K Khoo; David J Brooks; James B Rowe; Roger A Barker; David J Burn; John T O'Brien
Journal:  Neurobiol Aging       Date:  2017-03-16       Impact factor: 4.673

8.  Validation of diffusion tensor imaging measures of nigrostriatal neurons in macaques.

Authors:  Joshua S Shimony; Jerrel Rutlin; Morvarid Karimi; Linlin Tian; Abraham Z Snyder; Susan K Loftin; Scott A Norris; Joel S Perlmutter
Journal:  PLoS One       Date:  2018-09-05       Impact factor: 3.240

9.  Progression marker of Parkinson's disease: a 4-year multi-site imaging study.

Authors:  Roxana G Burciu; Edward Ofori; Derek B Archer; Samuel S Wu; Ofer Pasternak; Nikolaus R McFarland; Michael S Okun; David E Vaillancourt
Journal:  Brain       Date:  2017-08-01       Impact factor: 13.501

10.  PET imaging of [11C]PBR28 in Parkinson's disease patients does not indicate increased binding to TSPO despite reduced dopamine transporter binding.

Authors:  Katarina Varnäs; Zsolt Cselényi; Aurelija Jucaite; Christer Halldin; Per Svenningsson; Lars Farde; Andrea Varrone
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-01       Impact factor: 9.236

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  11 in total

Review 1.  Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.

Authors:  Chao Zuo; Xueling Suo; Huan Lan; Nanfang Pan; Song Wang; Graham J Kemp; Qiyong Gong
Journal:  Neuropsychol Rev       Date:  2022-09-20       Impact factor: 6.940

2.  Altered Default Mode Network Functional Connectivity in Parkinson's Disease: A Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Lu Chen; Ting Huang; Di Ma; Yu-Chen Chen
Journal:  Front Neurosci       Date:  2022-06-03       Impact factor: 5.152

3.  Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network.

Authors:  Anna Nigri; Stefania Ferraro; Claudia A M Gandini Wheeler-Kingshott; Michela Tosetti; Alberto Redolfi; Gianluigi Forloni; Egidio D'Angelo; Domenico Aquino; Laura Biagi; Paolo Bosco; Irene Carne; Silvia De Francesco; Greta Demichelis; Ruben Gianeri; Maria Marcella Lagana; Edoardo Micotti; Antonio Napolitano; Fulvia Palesi; Alice Pirastru; Giovanni Savini; Elisa Alberici; Carmelo Amato; Filippo Arrigoni; Francesca Baglio; Marco Bozzali; Antonella Castellano; Carlo Cavaliere; Valeria Elisa Contarino; Giulio Ferrazzi; Simona Gaudino; Silvia Marino; Vittorio Manzo; Luigi Pavone; Letterio S Politi; Luca Roccatagliata; Elisa Rognone; Andrea Rossi; Caterina Tonon; Raffaele Lodi; Fabrizio Tagliavini; Maria Grazia Bruzzone
Journal:  Front Neurol       Date:  2022-04-14       Impact factor: 4.086

4.  Diffusion Magnetic Resonance Imaging Detects Progression in Parkinson's Disease: A Placebo-Controlled Trial of Rasagiline.

Authors:  David J Arpin; Trina Mitchell; Derek B Archer; Roxana G Burciu; Winston T Chu; Hanzhi Gao; Thomas Guttuso; Christopher W Hess; Song Lai; Irene A Malaty; Nikolaus R McFarland; Ofer Pasternak; Catherine C Price; Aparna Wagle Shukla; Samuel S Wu; Michael S Okun; David E Vaillancourt
Journal:  Mov Disord       Date:  2021-11-01       Impact factor: 9.698

Review 5.  Prodromal Parkinson's disease: hype or hope for disease-modification trials?

Authors:  Philipp Mahlknecht; Kathrin Marini; Mario Werkmann; Werner Poewe; Klaus Seppi
Journal:  Transl Neurodegener       Date:  2022-02-21       Impact factor: 8.014

Review 6.  Advances in Phenotyping Obesity and in Its Dietary and Pharmacological Treatment: A Narrative Review.

Authors:  Roberta Pujia; Maria Grazia Tarsitano; Franco Arturi; Antonino De Lorenzo; Andrea Lenzi; Arturo Pujia; Tiziana Montalcini
Journal:  Front Nutr       Date:  2022-02-15

7.  Effects of Exercise on Parkinson's Disease: A Meta-Analysis of Brain Imaging Studies.

Authors:  Jingwen Li; Jian Guo; Weijuan Sun; Jinjin Mei; Yiying Wang; Lihong Zhang; Jianyun Zhang; Jing Gao; Kaiqi Su; Zhuan Lv; Xiaodong Feng; Ruiqing Li
Journal:  Front Hum Neurosci       Date:  2022-02-16       Impact factor: 3.169

8.  Advanced diffusion imaging to track progression in Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy.

Authors:  Trina Mitchell; Bradley J Wilkes; Derek B Archer; Winston T Chu; Stephen A Coombes; Song Lai; Nikolaus R McFarland; Michael S Okun; Mieniecia L Black; Ellen Herschel; Tanya Simuni; Cynthia Comella; Mitra Afshari; Tao Xie; Hong Li; Todd B Parrish; Ajay S Kurani; Daniel M Corcos; David E Vaillancourt
Journal:  Neuroimage Clin       Date:  2022-04-26       Impact factor: 4.891

Review 9.  Linking α-synuclein-induced synaptopathy and neural network dysfunction in early Parkinson's disease.

Authors:  Aishwarya S Kulkarni; Matthew R Burns; Patrik Brundin; Daniel W Wesson
Journal:  Brain Commun       Date:  2022-06-22

Review 10.  Neuroimaging Methods to Map In Vivo Changes of OXPHOS and Oxidative Stress in Neurodegenerative Disorders.

Authors:  Jannik Prasuhn; Liesa Kunert; Norbert Brüggemann
Journal:  Int J Mol Sci       Date:  2022-06-30       Impact factor: 6.208

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