Ming-Ching Wen1, Hannah S E Heng2, Jung-Lung Hsu3, Zheyu Xu4, Gerald M Liew5, Wing Lok Au4, Ling Ling Chan6, Louis C S Tan7, Eng King Tan8. 1. Department of Research, National Neuroscience Institute, Singapore; Department of Neurology, National Neuroscience Institute, Singapore. Electronic address: ming-ching_wen@nni.com.sg. 2. Department of Research, National Neuroscience Institute, Singapore; Department of Neurology, National Neuroscience Institute, Singapore. 3. Department of Neurology, Chang Gung Memorial Hospital Linko Medical Center and College of Medicine, Chang Gung University, Taiwan; Graduate Institute of Humanities in Medicine and Research Center for Brain and Consciousness, Taipei Medical University, Taiwan. 4. Department of Neurology, National Neuroscience Institute, Singapore. 5. Duke-NUS Medical School, Singapore. 6. Department of Diagnostic Radiology, Singapore General Hospital, Singapore. 7. Department of Neurology, National Neuroscience Institute, Singapore; Graduate Institute of Humanities in Medicine and Research Center for Brain and Consciousness, Taipei Medical University, Taiwan. 8. Department of Research, National Neuroscience Institute, Singapore; Department of Neurology, National Neuroscience Institute, Singapore; Graduate Institute of Humanities in Medicine and Research Center for Brain and Consciousness, Taipei Medical University, Taiwan.
Abstract
BACKGROUND: Although the clinical signs of prodromal Parkinson's disease (PD) have been identified, little is known about the neural features of the prodromal phase of PD (proPD). The aim of this study was to examine the structural network alterations from healthy aging to proPD and to early PD. METHODS: 181 non-demented and non-depressed participants comprising 55 healthy controls (HCs), 20 proPDs, and 106 de novo PD patients (dPDs) were included in the study and underwent clinical assessment and diffusion tensor imaging scanning. Graph-theoretical analysis and network-based statistics, with age and gender as nuisance covariates, were used. RESULTS: Compared with HCs and dPDs, proPD patients showed significantly elevated small-worldness and clustering coefficient (Ps < 0.01) and greater local connectivity between regions relating to motor, olfactory and sleep functions (Ps < 0.05). Although dPDs and HCs did not differ on all graph-theoretic metrics, dPD patients showed decreased connectivity within the prefrontal regions and between the left temporal and occipital lobes (P < 0.05). The connectivity strength between these regions significantly distinguished between diagnostic groups. Connectivity between bilateral SMAs was correlated with UPSIT in HCs and with UPDRS-III in dPDs. Connectivity between the right SMA and putamen was correlated RBDSQ in proPDs. CONCLUSIONS: Increased network efficiency and connectivity of proPDs and decreased local connectivity of dPDs might suggest the emergence and dissipation of neural compensation in the prodromal phase and in early PD, respectively. Nonetheless, longitudinal studies are needed to follow up the long-term structural network changes of proPD patients.
BACKGROUND: Although the clinical signs of prodromal Parkinson's disease (PD) have been identified, little is known about the neural features of the prodromal phase of PD (proPD). The aim of this study was to examine the structural network alterations from healthy aging to proPD and to early PD. METHODS: 181 non-demented and non-depressed participants comprising 55 healthy controls (HCs), 20 proPDs, and 106 de novo PDpatients (dPDs) were included in the study and underwent clinical assessment and diffusion tensor imaging scanning. Graph-theoretical analysis and network-based statistics, with age and gender as nuisance covariates, were used. RESULTS: Compared with HCs and dPDs, proPD patients showed significantly elevated small-worldness and clustering coefficient (Ps < 0.01) and greater local connectivity between regions relating to motor, olfactory and sleep functions (Ps < 0.05). Although dPDs and HCs did not differ on all graph-theoretic metrics, dPD patients showed decreased connectivity within the prefrontal regions and between the left temporal and occipital lobes (P < 0.05). The connectivity strength between these regions significantly distinguished between diagnostic groups. Connectivity between bilateral SMAs was correlated with UPSIT in HCs and with UPDRS-III in dPDs. Connectivity between the right SMA and putamen was correlated RBDSQ in proPDs. CONCLUSIONS: Increased network efficiency and connectivity of proPDs and decreased local connectivity of dPDs might suggest the emergence and dissipation of neural compensation in the prodromal phase and in early PD, respectively. Nonetheless, longitudinal studies are needed to follow up the long-term structural network changes of proPD patients.
Authors: Haidar Alzaid; Thomas Ethofer; Markus A Hobert; Bernd Kardatzki; Michael Erb; Walter Maetzler; Daniela Berg Journal: Front Aging Neurosci Date: 2020-08-13 Impact factor: 5.750
Authors: Maurizio Bergamino; Elizabeth G Keeling; Virendra R Mishra; Ashley M Stokes; Ryan R Walsh Journal: Front Neurol Date: 2020-05-14 Impact factor: 4.003
Authors: Kamen A Tsvetanov; Stefano Gazzina; P Simon Jones; John van Swieten; Barbara Borroni; Raquel Sanchez-Valle; Fermin Moreno; Robert Laforce; Caroline Graff; Matthis Synofzik; Daniela Galimberti; Mario Masellis; Maria Carmela Tartaglia; Elizabeth Finger; Rik Vandenberghe; Alexandre de Mendonça; Fabrizio Tagliavini; Isabel Santana; Simon Ducharme; Chris Butler; Alexander Gerhard; Adrian Danek; Johannes Levin; Markus Otto; Giovanni Frisoni; Roberta Ghidoni; Sandro Sorbi; Jonathan D Rohrer; James B Rowe Journal: Alzheimers Dement Date: 2020-11-20 Impact factor: 16.655