Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats

Journal of Neuroscience Methods

Volumn 184, Issue 1, 2009, Pages 10-18

  Gross, Brooks A ^a   Walsh, Christine M ^b   Turakhia, Apurva A ^a   Booth, Victoria ^a,b   Mashour, George A ^a,b   Poe, Gina R ^a,b  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Agreement ratio; Auto scorer; EEG; EMG; MATLAB; Non REM; Power spectral density; REM; Transition to REM; Waking

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; AUTOMATION; COMPUTER PROGRAM; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROMYOGRAM; ELECTROPHYSIOLOGY; MALE; NONHUMAN; NONREM SLEEP; PRIORITY JOURNAL; RAT; REM SLEEP; SLEEP; SLEEP WAKING CYCLE;

ALGORITHMS; ANIMALS; AUTOMATION; BRAIN; ELECTRODES, IMPLANTED; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; MALE; POLYSOMNOGRAPHY; RATS; RATS, INBRED F344; REPRODUCIBILITY OF RESULTS; SLEEP; SLEEP STAGES; SOFTWARE; TIME FACTORS; WAKEFULNESS;

EID: 70349241543     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.07.009     Document Type: Article

References (30)

1. Benington J.H., Kodali S.K., and Heller H.C. Scoring transitions to REM sleep in rats based on the EEG phenomena of pre-REM sleep: an improved analysis of sleep structure. Sleep (New York, NY) 17 (1994) 28
2. Costa-Miserachs D., Portell-Cortés I., Torras-Garcia M., and Morgado-Bernal I. Automated sleep staging in rat with a standard spreadsheet. J Neurosci Methods 130 (2003) 93-101
3. Crisler S., Morrissey M.J., Anch A.M., and Barnett D.W. Sleep-stage scoring in the rat using a support vector machine. J Neurosci Methods (2007)
4. Datta S. Avoidance task training potentiates phasic pontine-wave density in the rat: a mechanism for sleep-dependent plasticity. J Neurosci 20 (2000) 8607
5. Ferri R., Ferri P., Colognola R.M., Petrella M.A., Musumeci S.A., and Bergonzi P. Comparison between the results of an automatic and a visual scoring of sleep EEG recordings. Sleep 12 (1989) 354-362
6. Gottesmann C., Kirkham P.A., LaCoste G., Rodrigues L., and Arnaud C. Automatic analysis of the sleep-waking cycle in the rat recorded by miniature telemetry. Brain Res 132 (1977) 562-568
7. Grözinger M., Fell J., and Röschke J. Neural net classification of REM sleep based on spectral measures as compared to nonlinear measures. Biol Cybern 85 (2001) 335-341
8. Jouvet D., Vimont P., Delorme F., and Jouvet M. Study of selective deprivation of the paradoxal sleep phase in the cat. CR Seances Soc Biol Fil 158 (1964) 756-759
9. Lubin A., Johnson L.C., and Austin M.T. Discrimination among states of consciousness using EEG spectra. Psychophysiology 6 (1969) 122-132
10. Mamelak A.N., Quattrochi J.J., and Hobson J.A. Automated staging of sleep in cats using neural networks. Electroencephalogr Clin Neurophysiol 79 (1991) 52-61
11. Martin W.B., Johnson L.C., Viglione S.S., Naitoh P., Joseph R.D., and Moses J.D. Pattern recognition of EEG-EOG as a technique for all-night sleep stage scoring. Electroencephalogr Clin Neurophysiol 32 (1972) 417-427
12. Mendelson W., Guthrie R., Frederick G., and Wyatt R. The flower pot technique of rapid eye movement (REM) sleep deprivation. Pharmacol Biochem Behav 2 (1974) 553
13. Mistlberger R.E., Bergmann B.M., and Rechtschaffen A. Relationships among wake episode lengths, contiguous sleep episode lengths, and electroencephalographic delta waves in rats with suprachiasmatic nuclei lesions. Sleep (New York, NY) 10 (1987) 12-24
14. Neuhaus H.U., and Borbely A.A. Sleep telemetry in the rat. II. Automatic identification and recording of vigilance states. Electroencephalogr Clin Neurophysiol 44 (1978) 115-119
15. Nielsen K.D., Kjaer A., Jensen W., Dyrby T., Andreasen L., Andersen J., et al. Causal probabilistic network and power spectral estimation used in sleep stage classification. Methods Inf Med 36 (1997) 345-348
16. Norman R.G., Pal I., Stewart C., Walsleben J.A., and Rapoport D.M. Interobserver agreement among sleep scorers from different centers in a large dataset. Sleep (New York, NY) 23 (2000) 901-908
17. Rechtschaffen A., and Kales A. A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects (1968), US Government Printing Office, Department of Health Education and Welfare, Washington, DC [NIH Publication 204]
18. Robert C., Gaudy J.F., and Limoge A. Electroencephalogram processing using neural networks. Clin Neurophysiol 113 (2002) 694-701
19. Robert C., Guilpin C., and Limoge A. Automated sleep staging systems in rats. J Neurosci Methods 88 (1999) 111-122
20. Robert C., Guilpin C., and Limoge A. Review of neural network applications in sleep research. J Neurosci Methods 79 (1998) 187-193
21. Robert C., Karasinski P., Natowicz R., and Limoge A. Adult rat vigilance states discrimination by artificial neural networks using a single EEG channel. Physiol Behav 59 (1996) 1051-1060
22. Roberts S., and Tarassenko L. Analysis of the sleep EEG using a multilayer network with spatial organisation. IEEE Proceedings-F 139 (1992) 420-425
23. Ruigt G.S., Van Proosdij J.N., and Van Delft A.M. A large scale, high resolution, automated system for rat sleep staging. I. Methodology and technical aspects. Electroencephalogr Clin Neurophysiol 73 (1989) 52-63
24. Ruigt G.S., Van Proosdij J.N., and Van Wezenbeek L.A. A large scale, high resolution, automated system for rat sleep staging. II. Validation and application. Electroencephalogr Clin Neurophysiol 73 (1989) 64-71
25. Schaltenbrand N., Lengelle R., Toussaint M., Luthringer R., Carelli G., Jacqmin A., et al. Sleep stage scoring using the neural network model: comparison between visual and automatic analysis in normal subjects and patients. Sleep 19 (1996) 26-35
26. Sinha R.K. Artificial neural network and wavelet based automated detection of sleep spindles, REM sleep and wake states. J Med Syst 32 (2008) 291-299
27. Svetnik V., Ma J., Soper K.A., Doran S., Renger J.J., Deacon S., et al. Evaluation of automated and semi-automated scoring of polysomnographic recordings from a clinical trial using zolpidem in the treatment of insomnia. Sleep 30 (2007) 1562-1574
28. Van Gelder R.N., Edgar D.M., and Dement W.C. Real-time automated sleep scoring: validation of a microcomputer-based system for mice. Sleep 14 (1991) 48-55
29. van Luijtelaar E., and Coenen A.M.L. An EEG averaging technique for automated sleep-wake stage identification in the rat. Physiol Behav 33 (1984) 837-841
30. Witting W., van der Werf D., and Mirmiran M. An on-line automated sleep-wake classification system for laboratory animals. J Neurosci Methods 66 (1996) 109-112