1
|
Castelnovo A, Schraemli M, Schenck CH, Manconi M. The parasomnia defense in sleep-related homicide: A systematic review and a critical analysis of the medical literature. Sleep Med Rev 2024; 74:101898. [PMID: 38364685 DOI: 10.1016/j.smrv.2024.101898] [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: 10/05/2023] [Revised: 12/27/2023] [Accepted: 01/08/2024] [Indexed: 02/18/2024]
Abstract
This review critically analyzes the forensic application of the Parasomnia Defense in homicidal incidents, drawing from medical literature on disorders of arousal (DOA) and rapid-eye-movement sleep behavior disorder (RBD). A systematic search of PubMed, Scopus, Embase, and Cochrane databases was conducted until October 16, 2022. We screened English-language articles in peer-reviewed journals discussing murders committed during sleep with a Parasomnia Defense. We followed PRISMA guidelines, extracting event details, diagnosis methods, factors influencing the acts, perpetrator behavior, timing, motives, concealment, mental experiences, victim demographics, and court verdicts. Three sleep experts evaluated each case. We selected ten homicides, four attempted homicides, and one homicide/attempted homicide that met inclusion/exclusion criteria. Most cases were suspected DOA as unanimously confirmed by experts. RBD cases were absent. Among aggressors, a minority reported dream-like experiences. Victims were primarily female family members killed in or near the bed by hands and/or with sharp objects. Objective sleep data and important crime scene details were often missing. Verdicts were ununiform. Homicides during DOA episodes, though rare, are documented, validating the Parasomnia Defense's use in forensics. RBD-related fatal aggression seems very uncommon. However, cases often lack diagnostic clarity. We propose updated guidelines to enhance future reporting and understanding of such incidents.
Collapse
Affiliation(s)
- Anna Castelnovo
- Neurocenter of Italian Switzerland, Ente Ospedaliero Cantonale, Ospedale Civico, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
| | - Matthias Schraemli
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, Departments of Psychiatry, Hennepin County Medical Center, And University of Minnesota Medical School, Minneapolis, MN, United States.
| | - Mauro Manconi
- Neurocenter of Italian Switzerland, Ente Ospedaliero Cantonale, Ospedale Civico, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; Department of Neurology, University Hospital, Inselspital, Bern, Switzerland
| |
Collapse
|
2
|
Leclair-Visonneau L, Feemster JC, Bibi N, Gossard TR, Jagielski JT, Strainis EP, Carvalho DZ, Timm PC, Bliwise DL, Boeve BF, Silber MH, McCarter SJ, St. Louis EK. Contemporary diagnostic visual and automated polysomnographic REM sleep without atonia thresholds in isolated REM sleep behavior disorder. J Clin Sleep Med 2024; 20:279-291. [PMID: 37823585 PMCID: PMC10835777 DOI: 10.5664/jcsm.10862] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/13/2023]
Abstract
STUDY OBJECTIVES Accurate diagnosis of isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is crucial due to its injury potential and neurological prognosis. We aimed to analyze visual and automated REM sleep without atonia (RSWA) diagnostic thresholds applicable in varying clinical presentations in a contemporary cohort of patients with iRBD using submentalis (SM) and individual bilateral flexor digitorum superficialis (FDS) and anterior tibialis electromyography limb recordings during polysomnography. METHODS We analyzed RSWA in 20 patients with iRBD and 20 age-, REM-, apnea-hypopnea index-matched controls between 2017 and 2022 for phasic burst durations, density of phasic, tonic, and "any" muscle activity (number of 3-second mini-epochs containing phasic or tonic muscle activity divided by the total number of REM sleep 3-second mini-epochs), and automated Ferri REM atonia index (RAI). Group RSWA metrics were comparatively analyzed. Receiver operating characteristic curves determined optimized area under the curve (AUC) and maximized specificity and sensitivity diagnostic iRBD RSWA thresholds. RESULTS All mean RSWA metrics were higher in patients with iRBD than in controls (P < .05), except for selected anterior tibialis measures. Optimized, maximal specificity AUC diagnostic cutoffs for coprimary outcomes were: SM "any" 6.5%, 14.0% (AUC = 92.5%) and combined SM+FDS "any" 15.1%, 27.4% (AUC = 95.8%), while SM burst durations were 0.72, and 0.72 seconds (AUC 90.2%) and FDS RAI = 0.930, 0.888 (AUC 92.8%). CONCLUSIONS This study provides evidence for current quantitative RSWA diagnostic thresholds in chin and individual 4 limb muscles applicable in different iRBD clinical settings and confirms the key value of SM or SM+FDS to assure accurate iRBD diagnosis. Evolving iRBD recognition underscores the necessity of continuous assessment with future large, prospective, well-harmonized, multicenter polysomnographic analyses. CITATION Leclair-Visonneau L, Feemster JC, Bibi N, et al. Contemporary diagnostic visual and automated polysomnographic REM sleep without atonia thresholds in isolated REM sleep behavior disorder. J Clin Sleep Med. 2024;20(2):279-291.
Collapse
Affiliation(s)
- Laurène Leclair-Visonneau
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
- Department of Clinical Neurophysiology, CHU de Nantes, Nantes, France
- Nantes Université, INSERM, TENS, The Enteric Nervous System in Gut and Brain Diseases, Nantes, France
| | - John C. Feemster
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Noor Bibi
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Thomas R. Gossard
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Jack T. Jagielski
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Emma P. Strainis
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Diego Z. Carvalho
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Paul C. Timm
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Donald L. Bliwise
- Emory Sleep Center and Department of Neurology, Emory University, Atlanta, Georgia
| | - Bradley F. Boeve
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Michael H. Silber
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Stuart J. McCarter
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Erik K. St. Louis
- Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota
- Mayo Center for Sleep Medicine, Rochester, Minnesota
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
- Department of Medicine, Mayo Clinic and Foundation, Rochester, Minnesota
- Department of Clinical and Translational Science, Mayo Clinic Health System Southwest Wisconsin, La Crosse, Wisconsin
| |
Collapse
|
3
|
Cesari M, Heidbreder A, Gaig C, Bergmann M, Brandauer E, Iranzo A, Holzknecht E, Santamaria J, Högl B, Stefani A. Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia. Sleep 2023; 46:zsab299. [PMID: 34984464 PMCID: PMC9995778 DOI: 10.1093/sleep/zsab299] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/18/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls' v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/"any"/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices' sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHIREM) was considered in the analyses. RESULTS RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the "30-s phasic FDS" and the "FDS long muscle activity" had the highest specificity (85%) with AHIREM < 15/h. RWA indices were less reliable when AHIREM≥15/h. CONCLUSIONS If AHIREM<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA.
Collapse
Affiliation(s)
- Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Heidbreder
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Carles Gaig
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Melanie Bergmann
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elisabeth Brandauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alex Iranzo
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Evi Holzknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Joan Santamaria
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| |
Collapse
|
4
|
Quantification of REM sleep without atonia: A review of study methods and meta-analysis of their performance for the diagnosis of RBD. Sleep Med Rev 2023; 68:101745. [PMID: 36640617 DOI: 10.1016/j.smrv.2023.101745] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 12/23/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023]
Abstract
The present review focuses on REM sleep without atonia (RSWA) scoring methods. In consideration of the numerous papers published in the last decade, that used different methods for the quantification of RSWA, their systematic revision is an emerging need. We made a search using the PubMed, Embase, Scopus and Web of Science Databases, from 2010 until December 2021, combining the search term "RSWA" with "scoring methods", "IRBD", "alfasyn disease", and "neurodegenerative disease", and with each of the specific sleep disorders, diagnosed according to current criteria, with the identification of the references of interest for the topic. Furthermore, a Meta-analysis of the diagnostic performance of RSWA scoring methods, in terms of sensitivity and specificity, was carried out. The comparison of the hierarchical summary receiver-operating characteristic curves obtained for visual methods and that obtained for the automated REM sleep atonia index (RAI), shows substantially similar prediction areas indicating a comparable performance. This systematic review and meta-analysis support the validity of a series of visual methods and of the automated RAI in the quantification of RSWA with the purpose to guide clinicians in the interpretation of their results and their correct and efficient use within the diagnostic work-up for REM sleep behavior disorder.
Collapse
|
5
|
Röthenbacher A, Cesari M, Doppler CEJ, Okkels N, Willemsen N, Sembowski N, Seger A, Lindner M, Brune C, Stefani A, Högl B, Bialonski S, Borghammer P, Fink GR, Schober M, Sommerauer M. RBDtector: an open-source software to detect REM sleep without atonia according to visual scoring criteria. Sci Rep 2022; 12:20886. [PMID: 36463304 PMCID: PMC9719467 DOI: 10.1038/s41598-022-25163-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/25/2022] [Indexed: 12/07/2022] Open
Abstract
REM sleep without atonia (RSWA) is a key feature for the diagnosis of rapid eye movement (REM) sleep behaviour disorder (RBD). We introduce RBDtector, a novel open-source software to score RSWA according to established SINBAR visual scoring criteria. We assessed muscle activity of the mentalis, flexor digitorum superficialis (FDS), and anterior tibialis (AT) muscles. RSWA was scored manually as tonic, phasic, and any activity by human scorers as well as using RBDtector in 20 subjects. Subsequently, 174 subjects (72 without RBD and 102 with RBD) were analysed with RBDtector to show the algorithm's applicability. We additionally compared RBDtector estimates to a previously published dataset. RBDtector showed robust conformity with human scorings. The highest congruency was achieved for phasic and any activity of the FDS. Combining mentalis any and FDS any, RBDtector identified RBD subjects with 100% specificity and 96% sensitivity applying a cut-off of 20.6%. Comparable performance was obtained without manual artefact removal. RBD subjects also showed muscle bouts of higher amplitude and longer duration. RBDtector provides estimates of tonic, phasic, and any activity comparable to human scorings. RBDtector, which is freely available, can help identify RBD subjects and provides reliable RSWA metrics.
Collapse
Affiliation(s)
- Annika Röthenbacher
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany
| | - Matteo Cesari
- grid.5361.10000 0000 8853 2677Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christopher E. J. Doppler
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Leo-Brandt-Str. 5, 52425 Jülich, Germany
| | - Niels Okkels
- grid.154185.c0000 0004 0512 597XDepartment of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark ,grid.154185.c0000 0004 0512 597XDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark ,grid.7048.b0000 0001 1956 2722Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Nele Willemsen
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nora Sembowski
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Aline Seger
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Leo-Brandt-Str. 5, 52425 Jülich, Germany
| | - Marie Lindner
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Corinna Brune
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Ambra Stefani
- grid.5361.10000 0000 8853 2677Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- grid.5361.10000 0000 8853 2677Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stephan Bialonski
- grid.434081.a0000 0001 0698 0538Department of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Jülich, Germany ,grid.434081.a0000 0001 0698 0538Institute for Data-Driven Technologies, FH Aachen University of Applied Sciences, Jülich, Germany
| | - Per Borghammer
- grid.154185.c0000 0004 0512 597XDepartment of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Gereon R. Fink
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Leo-Brandt-Str. 5, 52425 Jülich, Germany
| | - Martin Schober
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany
| | - Michael Sommerauer
- grid.411097.a0000 0000 8852 305XDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Leo-Brandt-Str. 5, 52425 Jülich, Germany ,grid.154185.c0000 0004 0512 597XDepartment of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| |
Collapse
|
6
|
Cesari M, Heidbreder A, St Louis EK, Sixel-Döring F, Bliwise DL, Baldelli L, Bes F, Fantini ML, Iranzo A, Knudsen-Heier S, Mayer G, McCarter S, Nepozitek J, Pavlova M, Provini F, Santamaria J, Sunwoo JS, Videnovic A, Högl B, Jennum P, Christensen JAE, Stefani A. Video-polysomnography procedures for diagnosis of rapid eye movement sleep behavior disorder (RBD) and the identification of its prodromal stages: guidelines from the International RBD Study Group. Sleep 2022; 45:6409886. [PMID: 34694408 DOI: 10.1093/sleep/zsab257] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
Video-polysomnography (v-PSG) is essential for diagnosing rapid eye movement (REM) sleep behavior disorder (RBD). Although there are current American Academy of Sleep Medicine standards to diagnose RBD, several aspects need to be addressed to achieve harmonization across sleep centers. Prodromal RBD is a stage in which symptoms and signs of evolving RBD are present, but do not yet meet established diagnostic criteria for RBD. However, the boundary between prodromal and definite RBD is still unclear. As a common effort of the Neurophysiology Working Group of the International RBD Study Group, this manuscript addresses the need for comprehensive and unambiguous v-PSG recommendations to diagnose RBD and identify prodromal RBD. These include: (1) standardized v-PSG technical settings; (2) specific considerations for REM sleep scoring; (3) harmonized methods for scoring REM sleep without atonia; (4) consistent methods to analyze video and audio recorded during v-PSGs and to classify movements and vocalizations; (5) clear v-PSG guidelines to diagnose RBD and identify prodromal RBD. Each section follows a common template: The current recommendations and methods are presented, their limitations are outlined, and new recommendations are described. Finally, future directions are presented. These v-PSG recommendations are intended for both practicing clinicians and researchers. Classification and quantification of motor events, RBD episodes, and vocalizations are however intended for research purposes only. These v-PSG guidelines will allow collection of homogeneous data, providing objective v-PSG measures and making future harmonized multicentric studies and clinical trials possible.
Collapse
Affiliation(s)
- Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Heidbreder
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Erik K St Louis
- Mayo Center for Sleep Medicine, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.,Department of Research, Mayo Clinic Health System Southwest Wisconsin, La Crosse, WI, USA
| | - Friederike Sixel-Döring
- Paracelsus Elena Klinik, Kassel, Germany.,Department of Neurology, Philipps-University, Marburg, Germany
| | - Donald L Bliwise
- Sleep Center, Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Luca Baldelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Frederik Bes
- Clinic for Sleep- and Chronomedicine, St. Hedwig-Krankenhaus, Berlin, Germany
| | - Maria Livia Fantini
- NPsy-Sydo, Clermont-Ferrand University Hospital, Neurology Department, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Alex Iranzo
- Sleep Disorders Center, Neurology Service, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Stine Knudsen-Heier
- Norwegian Center of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare disorders, Oslo University Hospital, Oslo, Norway
| | - Geert Mayer
- Department of Neurology, Philipps-University, Marburg, Germany.,Department of Neurology, Hephata Klinik, Schwalmstadt, Germany
| | - Stuart McCarter
- Mayo Center for Sleep Medicine, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic
| | - Milena Pavlova
- Department of Neurology, Brigham and Women's Hospital; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Federica Provini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Joan Santamaria
- Sleep Disorders Center, Neurology Service, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Aleksandar Videnovic
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Poul Jennum
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Denmark
| | - Julie A E Christensen
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Denmark.,Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | | |
Collapse
|
7
|
Modarres MH, Elliott JE, Weymann KB, Pleshakov D, Bliwise DL, Lim MM. Validation of Visually Identified Muscle Potentials during Human Sleep Using High Frequency/Low Frequency Spectral Power Ratios. SENSORS (BASEL, SWITZERLAND) 2021; 22:55. [PMID: 35009594 PMCID: PMC8747095 DOI: 10.3390/s22010055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
Surface electromyography (EMG), typically recorded from muscle groups such as the mentalis (chin/mentum) and anterior tibialis (lower leg/crus), is often performed in human subjects undergoing overnight polysomnography. Such signals have great importance, not only in aiding in the definitions of normal sleep stages, but also in defining certain disease states with abnormal EMG activity during rapid eye movement (REM) sleep, e.g., REM sleep behavior disorder and parkinsonism. Gold standard approaches to evaluation of such EMG signals in the clinical realm are typically qualitative, and therefore burdensome and subject to individual interpretation. We originally developed a digitized, signal processing method using the ratio of high frequency to low frequency spectral power and validated this method against expert human scorer interpretation of transient muscle activation of the EMG signal. Herein, we further refine and validate our initial approach, applying this to EMG activity across 1,618,842 s of polysomnography recorded REM sleep acquired from 461 human participants. These data demonstrate a significant association between visual interpretation and the spectrally processed signals, indicating a highly accurate approach to detecting and quantifying abnormally high levels of EMG activity during REM sleep. Accordingly, our automated approach to EMG quantification during human sleep recording is practical, feasible, and may provide a much-needed clinical tool for the screening of REM sleep behavior disorder and parkinsonism.
Collapse
Affiliation(s)
- Mo H. Modarres
- Mental Illness Research, Education and Clinical Center (MIRECC-VISN1), VA Bedford Health Care System, Bedford, MA 01730, USA;
| | - Jonathan E. Elliott
- VA Portland Health Care System, Portland, OR 97239, USA;
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Dennis Pleshakov
- School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA;
| | | | - Miranda M. Lim
- VA Portland Health Care System, Portland, OR 97239, USA;
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
- National Center for Rehabilitative Auditory Research, VA Portland Health Care System, Portland, OR 97239, USA
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR 97239, USA
| |
Collapse
|
8
|
Nisser J, Derlien S, Bublak P, Schwab M, Witte OW, Kesper K, Schultze T, Rupprecht S. Systematic quantitative assessment of motor function in clinically isolated REM sleep behaviour disorder: A diagnostic window into early alpha-synucleinopathies. J Sleep Res 2021; 31:e13459. [PMID: 34462975 DOI: 10.1111/jsr.13459] [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: 01/18/2021] [Revised: 07/19/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
Mild motor abnormalities can herald the beginning of Parkinson´s disease but their diagnostic value is limited by multifactorial ageing-related influences on motor function. We characterized mild motor abnormalities in different motor domains by conducting a systematic motor assessment in 20 patients with clinically isolated REM sleep behaviour disorder (iRBD) without parkinsonian motor signs and 20 healthy controls. We addressed the influence of lifestyle factors and age on motor function, which needs to be distinguished from neurodegenerative motor features, and assessed the diagnostic value of innovative and established quantitative motor tests in iRBD. Patients with iRBD showed abnormalities in perceptual motor speed (falling stick test), trunk movement coordination (bend, twist and touch test) and dynamic balance (line walk test) without alterations in simple motor speed (alternate tap test), dexterity (grooved pegboard), static balance (force plate) and gait (timed up and go test). The falling stick test showed the highest diagnostic accuracy in identifying subjects with RBD (ROC-AUC 0.85, p ≤ 0.001). Multivariate analysis revealed physical activity and age as additional determinants of motor test performance. iRBD comprises a wide spectrum of mild motor abnormalities which cannot be verified by established tests for motor speed, gait and balance. The falling stick test, an innovative screening test for perceptual motor speed, provides high diagnostic potential in identifying subjects with subclinical neurodegenerative symptoms before parkinsonian motor signs become apparent. Normative data for physical activity and age need to be obtained to ensure correct interpretation of motor test results in prodromal Parkinson-related disease.
Collapse
Affiliation(s)
- Jenny Nisser
- Department of Physiotherapy, Jena University Hospital, Jena, Germany
| | - Steffen Derlien
- Department of Physiotherapy, Jena University Hospital, Jena, Germany
| | - Peter Bublak
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany.,Neuropsychology Section, Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Matthias Schwab
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Karl Kesper
- Respiratory Medicine, University of Marburg, University Hospital of Gießen and Marburg, Marburg, Germany
| | - Torsten Schultze
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Sven Rupprecht
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany.,Research Programme, "Else Kröner-Forschungskolleg AntiAge", Jena University Hospital, Jena, Germany
| |
Collapse
|
9
|
Feemster JC, Jung Y, Timm PC, Westerland SM, Gossard TR, Teigen LN, Buchal LA, Cattaneo EFD, Imlach CA, Mccarter SJ, Smith KL, Boeve BF, Silber MH, St Louis EK. Normative and isolated rapid eye movement sleep without atonia in adults without REM sleep behavior disorder. Sleep 2020; 42:5581967. [PMID: 31587043 DOI: 10.1093/sleep/zsz124] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 04/26/2019] [Indexed: 12/22/2022] Open
Abstract
STUDY OBJECTIVES Values for normative REM sleep without atonia (RSWA) remain unclear. Older age and male sex are associated with greater RSWA, and isolated elevated RSWA has been reported. We aimed to describe normative RSWA and characterize isolated RSWA frequency in adults without REM sleep behavior disorder (RBD). METHODS We visually quantified phasic, "any," and tonic RSWA in the submentalis (SM) and anterior tibialis (AT) muscles, and the automated Ferri REM Atonia Index during polysomnography in adults without RBD aged 21-88. We calculated RSWA percentiles across age and sex deciles and compared RSWA in older (≥ 65) versus younger (<65) men and women. Isolated RSWA (exceeding diagnostic RBD cutoffs, or >95th percentile) frequency was also determined. RESULTS Overall, 95th percentile RSWA percentages were SM phasic, any, tonic = 8.6%, 9.1%, 0.99%; AT phasic and "any" = 17.0%; combined SM/AT phasic, "any" = 22.3%, 25.5%; and RAI = 0.85. Most phasic RSWA burst durations were ≤1.0 s (85th percentiles: SM = 1.07, AT = 0.86 seconds). Older men had significantly higher AT RSWA than older women and younger patients (all p < 0.04). Twenty-nine (25%, 18 men) had RSWA exceeding the cohort 95th percentile, while 17 (14%, 12 men) fulfilled diagnostic cutoffs for phasic or automated RBD RSWA thresholds. CONCLUSIONS RSWA levels are highest in older men, mirroring the demographic characteristics of RBD, suggesting that older men frequently have altered REM sleep atonia control. These data establish normative adult RSWA values and thresholds for determination of isolated RSWA elevation, potentially aiding RBD diagnosis and discussions concerning incidental RSWA in clinical sleep medicine practice.
Collapse
Affiliation(s)
- John C Feemster
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Youngsin Jung
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Paul C Timm
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Sarah M Westerland
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Thomas R Gossard
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Luke N Teigen
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Lauren A Buchal
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Elena F D Cattaneo
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Charlotte A Imlach
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Stuart J Mccarter
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Kevin L Smith
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Bradley F Boeve
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Michael H Silber
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | | |
Collapse
|
10
|
Cesari M, Christensen JA, Sixel-Döring F, Trenkwalder C, Mayer G, Oertel WH, Jennum P, Sorensen HB. Validation of a new data-driven automated algorithm for muscular activity detection in REM sleep behavior disorder. J Neurosci Methods 2019; 312:53-64. [DOI: 10.1016/j.jneumeth.2018.11.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 11/07/2018] [Accepted: 11/19/2018] [Indexed: 01/13/2023]
|
11
|
Dauvilliers Y, Schenck CH, Postuma RB, Iranzo A, Luppi PH, Plazzi G, Montplaisir J, Boeve B. REM sleep behaviour disorder. Nat Rev Dis Primers 2018; 4:19. [PMID: 30166532 DOI: 10.1038/s41572-018-0016-5] [Citation(s) in RCA: 250] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Rapid eye movement (REM) sleep behaviour disorder (RBD) is a parasomnia that is characterized by loss of muscle atonia during REM sleep (known as REM sleep without atonia, or RSWA) and abnormal behaviours occurring during REM sleep, often as dream enactments that can cause injury. RBD is categorized as either idiopathic RBD or symptomatic (also known as secondary) RBD; the latter is associated with antidepressant use or with neurological diseases, especially α-synucleinopathies (such as Parkinson disease, dementia with Lewy bodies and multiple system atrophy) but also narcolepsy type 1. A clinical history of dream enactment or complex motor behaviours together with the presence of muscle activity during REM sleep confirmed by video polysomnography are mandatory for a definite RBD diagnosis. Management involves clonazepam and/or melatonin and counselling and aims to suppress unpleasant dreams and behaviours and improve bedpartner quality of life. RSWA and RBD are now recognized as manifestations of an α-synucleinopathy; most older adults with idiopathic RBD will eventually develop an overt neurodegenerative syndrome. In the future, studies will likely evaluate neuroprotective therapies in patients with idiopathic RBD to prevent or delay α-synucleinopathy-related motor and cognitive decline.
Collapse
Affiliation(s)
- Yves Dauvilliers
- Centre National de Référence Narcolepsie Hypersomnies, Unité des Troubles du Sommeil, Service de Neurologie, Hôpital Gui-de-Chauliac Montpellier, Montpellier, France. .,INSERM, U1061, Montpellier, France, Université Montpellier, Montpellier, France.
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Departments of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, MN, USA
| | - Ronald B Postuma
- Department of Neurology, Montreal General Hospital, Montreal, Quebec, Canada
| | - Alex Iranzo
- Neurology Service, Multidisciplinary Sleep Unit, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Pierre-Herve Luppi
- UMR 5292 CNRS/U1028 INSERM, Center of Research in Neuroscience of Lyon (CRNL), SLEEP Team, Université Claude Bernard Lyon I, Faculté de Médecine RTH Laennec, Lyon, France
| | - Giuseppe Plazzi
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche, Bologna, Italy
| | - Jacques Montplaisir
- Department of Psychiatry, Université de Montréal, Québec, Canada and Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Coeur de Montréal, Quebec, Canada
| | - Bradley Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
12
|
Cesari M, Christensen JAE, Kempfner L, Olesen AN, Mayer G, Kesper K, Oertel WH, Sixel-Döring F, Trenkwalder C, Sorensen HBD, Jennum P. Comparison of computerized methods for rapid eye movement sleep without atonia detection. Sleep 2018; 41:5053112. [DOI: 10.1093/sleep/zsy133] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Indexed: 01/25/2023] Open
Affiliation(s)
- Matteo Cesari
- Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Julie A E Christensen
- Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
- Department of Clinical Neurophysiology, Danish Center for Sleep Medicine, Rigshospitalet Glostrup, Denmark
| | - Lykke Kempfner
- Department of Clinical Neurophysiology, Danish Center for Sleep Medicine, Rigshospitalet Glostrup, Denmark
| | - Alexander N Olesen
- Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
- Stanford Center for Sleep Medicine, Stanford University, Stanford, CA
| | - Geert Mayer
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Karl Kesper
- Department of Internal Medicine, Section Respiratory Diseases, Philipps University Marburg, Marburg, Germany
| | - Wolfgang H Oertel
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | | | | | - Helge B D Sorensen
- Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Poul Jennum
- Department of Clinical Neurophysiology, Danish Center for Sleep Medicine, Rigshospitalet Glostrup, Denmark
| |
Collapse
|