Table of Contents Author Guidelines Submit a Manuscript
Neural Plasticity
Volume 2016, Article ID 6783812, 19 pages
http://dx.doi.org/10.1155/2016/6783812
Review Article

Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods

1GIGA In Silico Medicine, CRC (B30), University of Liège, 4000 Liège, Belgium
2Department of Electrical Engineering and Computer Science (B28), 4000 Liège, Belgium
3GIGA CRC In Vivo Imaging, CRC (B30), University of Liège, 4000 Liège, Belgium
4Department of Neurology, University of Liège Hospital (B35), 4000 Liège, Belgium
5Walloon Excellence in Life Sciences and Biotechnology (WELBIO), 1300 Wavre, Belgium

Received 8 February 2016; Accepted 27 April 2016

Academic Editor: Igor Timofeev

Copyright © 2016 Dorothée Coppieters ’t Wallant et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • Ankit Parekh, Ivan W. Selesnick, Ricardo S. Osorio, Andrew W. Varga, David M. Rapoport, and Indu Ayappa, “Multichannel sleep spindle detection using sparse low-rank optimization,” Journal of Neuroscience Methods, vol. 288, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • S. M. Purcell, D. S. Manoach, C. Demanuele, B. E. Cade, S. Mariani, R. Cox, G. Panagiotaropoulou, R. Saxena, J. Q. Pan, J. W. Smoller, S. Redline, and R. Stickgold, “Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource,” Nature Communications, vol. 8, pp. 15930, 2017. View at Publisher · View at Google Scholar
  • Raphael Vallat, Tarek Lajnef, Jean-Baptiste Eichenlaub, Christian Berthomier, Karim Jerbi, Dominique Morlet, and Perrine M. Ruby, “Increased Evoked Potentials to Arousing Auditory Stimuli during Sleep: Implication for the Understanding of Dream Recall,” Frontiers in Human Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
  • Arnaud Boutin, Basile Pinsard, Arnaud Boré, Julie Carrier, Stuart M. Fogel, and Julien Doyon, “Transient synchronization of hippocampo-striato-thalamo-cortical networks during sleep spindle oscillations induces motor memory consolidation,” NeuroImage, 2017. View at Publisher · View at Google Scholar
  • Ilona Merikanto, Liisa Kuula, Tommi Makkonen, Róbert Bódizs, Risto Halonen, Kati Heinonen, Jari Lahti, Katri Räikkönen, and Anu-Katriina Pesonen, “Circadian preference towards morningness is associated with lower slow sleep spindle amplitude and intensity in adolescents,” Scientific Reports, vol. 7, no. 1, 2017. View at Publisher · View at Google Scholar
  • Juliana Yordanova, Roumen Kirov, Rolf Verleger, and Vasil Kolev, “Dynamic coupling between slow waves and sleep spindles during slow wave sleep in humans is modulated by functional pre-sleep activation.,” Scientific reports, vol. 7, no. 1, pp. 14496, 2017. View at Publisher · View at Google Scholar
  • Ning Mei, Timothy M. Ellmore, Michael D. Grossberg, Kenneth Ng, and Karen T. Navarro, “Identifying sleep spindles with multichannel EEG and classification optimization,” Computers in Biology and Medicine, vol. 89, pp. 441–453, 2017. View at Publisher · View at Google Scholar
  • Eckehard Olbrich, Thomas Rusterholz, Monique K. LeBourgeois, and Peter Achermann, “Developmental Changes in Sleep Oscillations during Early Childhood,” Neural Plasticity, vol. 2017, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Jiabin Li, Bei Wang, Takenao Sugi, Yu Zhang, and Masatoshi Nakamura, “Automatic Sleep Spindle Detection with EEG Based on Complex Demodulation Method and Decision Tree Model,” Journal of Biomedical Science and Engineering, vol. 10, no. 05, pp. 10–17, 2017. View at Publisher · View at Google Scholar
  • Huichun Luo, Yongzhi Huang, Xueying Du, Yunpeng Zhang, Alexander L. Green, Tipu Z. Aziz, and Shouyan Wang, “Dynamic Neural State Identification in Deep Brain Local Field Potentials of Neuropathic Pain,” Frontiers in Neuroscience, vol. 12, 2018. View at Publisher · View at Google Scholar
  • Wessam Al-salman, Yan Li, Peng Wen, and Mohammed Diykh, “An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image,” Biomedical Signal Processing and Control, vol. 41, pp. 210–221, 2018. View at Publisher · View at Google Scholar