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Decreased sleep spindle density in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

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Authors:
  • Christensen, Julie Anja Engelhard ;
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    Department of Electrical Engineering, Technical University of Denmark
  • Kempfner, Jacob ;
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    Department of Electrical Engineering, Technical University of Denmark
  • Zoetmulder, Marielle ;
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    Copenhagen University Hospital
  • Leonthin, Helle L. ;
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    Copenhagen University Hospital
  • Arvastson, Lars Johan ;
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    Copenhagen University Hospital
  • Christensen, Søren Ro ;
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    H. Lundbeck A/S
  • Sørensen, Helge Bjarup Dissing ;
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    Orcid logo0000-0001-5716-7600
    Department of Electrical Engineering, Technical University of Denmark
  • Jennum, Poul
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    Copenhagen University Hospital
DOI:
10.1016/j.clinph.2013.08.013
Abstract:
ObjectiveTo determine whether sleep spindles (SS) are potentially a biomarker for Parkinson’s disease (PD). MethodsFifteen PD patients with REM sleep behavior disorder (PD+RBD), 15 PD patients without RBD (PD−RBD), 15 idiopathic RBD (iRBD) patients and 15 age-matched controls underwent polysomnography (PSG). SS were scored in an extract of data from control subjects. An automatic SS detector using a Matching Pursuit (MP) algorithm and a Support Vector Machine (SVM) was developed and applied to the PSG recordings. The SS densities in N1, N2, N3, all NREM combined and REM sleep were obtained and evaluated across the groups. ResultsThe SS detector achieved a sensitivity of 84.7% and a specificity of 84.5%. At a significance level of α=1%, the iRBD and PD+RBD patients had a significantly lower SS density than the control group in N2, N3 and all NREM stages combined. At a significance level of α=5%, PD−RBD had a significantly lower SS density in N2 and all NREM stages combined. ConclusionsThe lower SS density suggests involvement in pre-thalamic fibers involved in SS generation. SS density is a potential early PD biomarker. SignificanceIt is likely that an automatic SS detector could be a supportive diagnostic tool in the evaluation of iRBD and PD patients.
Type:
Journal article
Language:
English
Published in:
Clinical Neurophysiology, 2014, Vol 125, Issue 3, p. 512-519
Keywords:
Sleep spindles; Parkinson’s disease; REM sleep behavior disorder; Automatic detection; Matching Pursuit; Support Vector Machine; Journal Article; Research Support, Non-U.S. Gov't
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2014
Scientific Level:
Scientific
ID:
255054389

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