Page 235 - MEGIN Book Of Abstracts - 2023
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A novel approach to understanding Parkinsonian     Evaluation of movement and brain activity (2021)
            cognitive decline using minimum spanning trees,
            edge cutting, and magnetoencephalography (2021)                          Hallett, Mark; DelRosso, Lourdes M; Elble, Rodger;
                                                               Ferri, Raffaele; Horak, Fay B; Lehericy, Stephan;
                                    Simon, Olivier B; Buard, Isabelle; Rojas, Donald C;   Mancini, Martina; Matsuhashi, Masao; Matsumoto, Riki;
            Holden, Samantha K; Kluger, Benzi M; Ghosh, Debashis  Muthuraman, Muthuraman; Raethjen, Jan; Shibasaki,
                                                               Hiroshi
            Department of Biostatistics and Informatics, Colorado School
            of Public Health, University of Colorado Anschutz Medical   Human Motor Control Section, National Institute of Neu-
            Campus, Aurora, CO, USA; Department of Neurology, Univer-  rological Disorders and Stroke, NIH, Bethesda, MD, USA.
            sity of Colorado School of Medicine, University of Colorado   Electronic address: [email protected]; Department
            Anschutz Medical Campus, Aurora, CO, USA; Department of   of Pediatrics, University of Washington, Seattle, WA, USA;
            Psychology, Colorado State University, Fort Collins, CO, USA;   Department of Neurology, Southern Illinois University School
            Department of Neurology, University of Rochester Medical   of Medicine, Springfield, IL, USA; Oasi Research Institute -
            Center, Rochester, NY, USA; Department of Biostatistics and   IRCCS, Troina, Italy; Department of Neurology, Oregon Health
            Informatics, Colorado School of Public Health, University   & Science University, Portland, OR, USA; Paris Brain Institute
            of Colorado Anschutz Medical Campus, Aurora, CO, USA.   (ICM), Centre de NeuroImagerie de Recherche (CENIR), Team
            [email protected]                      "Movement, Investigations and Therapeutics" (MOV'IT),
                                                               INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris,
            ABSTRACT Graph theory-based approaches are effi-   France; Department of Epilepsy, Movement Disorders and
            cient tools for detecting clustering and group-wise dif-  Physiology, Kyoto University Graduate, School of Medicine,
            ferences in high-dimensional data across a wide range   Japan; Division of Neurology, Kobe University Graduate
            of fields, such as gene expression analysis and neural   School of Medicine, Japan; Section of Movement Disorders
            connectivity. Here, we examine data from a cross-sec-  and Neurostimulation, Biomedical Statistics and Multimodal
            tional, resting-state magnetoencephalography study   Signal Processing unit, Department of Neurology, Focus Pro-
            of 89 Parkinson's disease patients, and use minimum-  gram Translational Neuroscience (FTN), University Medical
            spanning tree (MST) methods to relate severity of Par-  Center of the Johannes Gutenberg-University Mainz, Mainz,
            kinsonian cognitive impairment to neural connectivity   Germany; Neurology Outpatient Clinic, Preusserstr. 1-9, 24105
            changes. In particular, we implement the two-sample   Kiel, Germany; Kyoto University Graduate School of Medicine,
            multivariate-runs test of Friedman and Rafsky (Ann Stat   Japan
            7(4):697-717, 1979) and find it to be a powerful para-
            digm for distinguishing highly significant deviations   ABSTRACT Clinical neurophysiology studies can con-
            from the null distribution in high-dimensional data. We   tribute important information about the physiology
            also generalize this test for use with greater than two   of human movement and the pathophysiology and
            classes, and show its ability to localize significance to   diagnosis of different movement disorders. Some tech-
            particular sub-classes. We observe multiple indications   niques can be accomplished in a routine clinical neuro-
            of altered connectivity in Parkinsonian dementia that   physiology laboratory and others require some special
            may be of future use in diagnosis and prediction.  equipment. This review, initiating a series of articles
                                                               on this topic, focuses on the methods and techniques.
            Scientific reports (2021), Vol. 11, No. 1 (34611218) (0   The methods reviewed include EMG, EEG, MEG, evoked
            citations)                                         potentials, coherence, accelerometry, posturography
                                                               (balance), gait, and sleep studies. Functional MRI (fMRI)
                                                               is also reviewed as a physiological method that can be
                                                               used independently or together with other methods. A
                                                               few applications to patients with movement disorders








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