Automatic sleep staging using fMRI functional connectivity data

NeuroImage

Volumn 63, Issue 1, 2012, Pages 63-72

  Tagliazucchi, Enzo ^a   von Wegner, Frederic ^a   Morzelewski, Astrid ^a   Borisov, Sergey ^a   Jahnke, Kolja ^a   Laufs, Helmut ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

FMRI; Functional connectivity; Resting state; Sleep staging; Support vector machines

Indexed keywords

ACCURACY; ARTICLE; BOLD SIGNAL; BRAIN RADIOGRAPHY; BRAIN REGION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EXECUTIVE FUNCTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GOLD STANDARD; HUMAN; HUMAN EXPERIMENT; NEUROIMAGING; NONREM SLEEP; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SLEEP STAGE; SLEEP WAKING CYCLE; STEADY STATE; SUPPORT VECTOR MACHINE; THALAMUS; VALIDATION PROCESS;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CONNECTOME; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SLEEP STAGES; YOUNG ADULT;

EID: 84864413510     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.06.036     Document Type: Article

References (60)

1. AASM The AASM Manual for the Scoring of Sleep and Associated Events-Rules. Terminology and Technical Specifications 2007, American Academy of Sleep Medicine, Chicago.
2. Allen P., Polizzi G., Krakow K., Fish D., Lemieux L. Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction. NeuroImage 1998, 8:229-239.
3. Beckmann C., Smith S. Tensorial extension of independent component analysis for multi-subject fmri analysis. IEEE Trans. Med. Imaging 2006, 23:137-152.
4. Beckmann C., DeLuca M., Devlin J., Smith S. Investigations into resting-state connectivity using independent component analysis. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 2005, 360:1001-1013.
5. Born A.P., Law I., Lund T.E., Rostrup E., Hanson L.G., WildschiÃ̧dtz G., Lou H.C., Paulson O.B. Cortical deactivation induced by visual stimulation in human slow-wave sleep. NeuroImage 2002, 17:1325-1335.
6. Boser B.E., Guyon I.M., Vapnik V.N. A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual Workshop on Computational Learning Theory 1992, 144-152.
7. Bottou L., Cortes C., Denker J., Drucker H., Guyon I., Jackel L., LeCun Y., Muller U., Sackinger E., Simard P., Vapnik V. Comparison of classifier methods: a case study in handwriting digit recognition. Proc. Int. Conf. Pattern Recognit. 1994, 77-87.
8. Caporro M., Haneef Z., Yeh H.J., Lenartowicz A., Buttinelli C., Parvizi J., Stern J.M. Functional MRI of sleep spindles and K-complexes. Clin. Neurophysiol. 2011, 10.1016/j.clinph.2011.06.018.
9. Chang C.C., Lin C.J. LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2011, 2:27:1-27:27. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
10. Christmann C., Koeppe C., Braus D.F., Ruf M., Flor H. A simultaneous EEG-fMRI study of painful electric stimulation. NeuroImage 2007, 34:1428-1437.
11. Cortes C., Vapnik V. Support-vector networks. Mach. Learn. 1995, 20:273-297.
12. Craddock R., Holtzheimer P.E., Hu X.P., Mayberg H.S. Disease state prediction from resting state functional connectivity. Magn. Reson. Med. 2009, 62:1619-1628.
13. Crisler S., Morrissey M.J., Anch A.M., Barnett D.W. Sleep-stage scoring in the rat using a support vector machine. J. Neurosci. Methods 2007, 168:524-534.
14. Czisch M., Wetter T.C., Kaufmann C., Pollmächer T., Holsboer F., Auer D.P. Altered processing of acoustic stimuli during sleep: reduced auditory activation and visual deactivation detected by a combined fMRI/EEG study. NeuroImage 2002, 16:251-258.
15. Damoiseaux J.S., Rombouts S.A.R.B., Barkhof F., Scheltens P., Stam C.J., Smith S.M., Beckmann C.F. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. 2006, 103:13848-13853.
16. Dang-Vu T.T., Schabus M., Desseilles M., Albouy G., Boly M., Darsaud A., Gais S., Rauchs G., Sterpenich V., Vandewalle G., Carrier J., Moonen G., Balteau E., Degueldre C., Luxen A., Phillips C., Maquet P. Spontaneous neural activity during human slow wave sleep. Proc. Natl. Acad. Sci. 2008, 105:15160-15165.
17. Danker-Hopfe H., Anderer P., Zeitlhofer J., Boeck M., Dorn H., Gruber G., Heller E., Loretz E., Moser D., Parapatics S., Saletu E., Schmidt A., Dorffner G. Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard. J. Sleep Res. 2009, 18:78-84.
18. Dosenbach N.U.F., Nardos B., Cohen A.L., Fair D.A., Power J.D., Church J.A., Nelson S.M., Wig G.S., Vogel A.C., Lessov-Schlaggar C.N., Barnes K.A., Dubis J.W., Feczko E., Coalson R.S., J.R.P., Barch D.M., Petersen S.E., Schlaggar B.L. Prediction of individual brain maturity using fMRI. Science 2010, 329:1358-1361.
19. Duan K.B., Keerthi S.S. Which is the best multiclass SVM method? An empirical study. Lect. Notes Comp. Sci. 2005, 3541:732-760.
20. Ferri C., Hernandez-Orallo J., Modroiu R. An experimental comparison of performance measures for classification. Pattern Recognit. Lett. 2009, 30:27-28.
21. Ford D.E., Kamerow D.B. Epidemiologic study of sleep disturbances and psychiatric disorders. J. Am. Med. Assoc. 1989, 262:1479-1484.
22. Fox M.D., Raichle M.E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 2007, 8:700-711.
23. Frigo M., Johnson S.G. FFTW: an adaptive software architecture for the FFT. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing 1998, 3:1381-1384.
24. Fukunaga M., Horovitz S.G., van Gelderen P., de Zwart J.A., Jansma J.M., Ikonomidou V.N., Chu R., Deckers R.H., Leopold D.A., Duyn J.H. Large-amplitude, spatially correlated fluctuations in bold fmri signals during extended rest and early sleep stages. Magn. Reson. Imaging 2006, 24:979-992.
25. Glover G., Li T., Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 2000, 44:162-167.
26. Goldman R.I., Stern J.M., Jr J.E., Cohen M.S. Acquiring simultaneous EEG and functional MRI. Clin Neurophysiology 2000, 111:1974-1980.
27. Gudmundsson S., Runarsson T., Sigurdsson S. Automatic sleep staging using support vector machines with posterior probability estimates. International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce 2005, 2:366-372.
28. Hamandi K., Salek-Haddadi A., Fish D., Lemieux L. EEG/functional MRI in epilepsy: The Queen Square Experience. J. Clin. Neurophysiol. 2004, 21:241-248.
29. Horovitz S.G., Fukunaga M., de Zwart J.A., van Gelderen P., Fulton S.C., Balkin T.J., Duyn J.H. Low frequency bold fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Hum. Brain Mapp. 2007, 29:671-682.
30. Horovitz S.G., Braun A.R., Carr W.S., Picchioni D., Balkin T.J., Fukunaga M., Duyn J.H. Decoupling of the brain's default mode network during deep sleep. Proc. Natl. Acad. Sci. 2009, 106:11376-11381.
31. Hsu C.W., Lin C.J. A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks 2002, 13:415-425.
32. Jahnke K., von Wegner F., Morzelewski A., Borisov S., Maischein M., Steinmetz H., Laufs H. To wake or not to wake? The two-sided nature of the human K-complex. NeuroImage 2011, 59:1631-1638.
33. Kaufmann C., Wehrle R., Wetter T.C., Holsboer F., Auer D.P., Pollmächer T., Czisch M. Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: an EEG/fMRI study. Brain 2006, 129:655-667.
34. LaConte S.M. Decoding fMRI brain states in real-time. NeuroImage 2011, 56:440-454.
35. Laufs H. Endogenous brain oscillations and related networks detected by surface EEG-combined fMRI. Hum. Brain Mapp. 2007, 29:762-769.
36. Laufs H., Duncan J.S. Electroencephalography-functional MRI in human epilepsy: what it currently can and cannot do. Curr. Opin. Neurol. 2007, 20:417-423.
37. Laufs H., Krakow K., Sterzer P., Eger E., Beyerle A., Salek-Haddadi A., Kleinschmid A. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proc. Natl. Acad. Sci. 2003, 100:11053-11058.
38. Laufs H., Walker M., Lund T. Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: an EEG/fMRI study (author reply). Brain 2007, 130:e75.
39. Laufs H., Daunizeau J., Carmichael D., Kleinschmidt A. Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging. NeuroImage 2008, 40:515-528.
40. Lemieux L., Franconi P.A.F., Symms M.R., D.F. Recording of EEG during fMRI experiments: patient safety. Magn. Reson. Med. 1997, 38:943-952.
41. Mantini D., Perrucci M.G., Gratta C.D., Romani G.L., Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc. Natl. Acad. Sci. 2007, 104:13170-13175.
42. Maquet P., Phillips C. Functional brain imaging of human sleep. J. Sleep Res. 1998, 7:42-47.
43. Mourao-Miranda J., Bokde A.L., Born C., Hampel H., Stetter M. Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data. NeuroImage 2005, 28:980-995.
44. Nöth U., Laufs H., Stoermer R., Deichmann R. Simultaneous electroencephalography-functional MRI at 3T: an analysis of safety risks imposed by performing anatomical reference scans with the EEG equipment in place. J. Magn. Reson. Imaging 2011, 10.1002/jmri.22843.
45. Platt J.C. Sequential minimal optimization: a fast algorithm for training support vector machines. Advances in Kernel Methods: Support Vector Learning 1998, 185-208. MIT Press, Cambridge, MA. Scholkopf, Burges, Smola (Eds.).
46. Platt J., Cristianini N., Shawe-Taylor J. Large margin dags for multiclass classification. Advances in Neural Information Processing Systems 2000, 547-553. MIT Press.
47. Portas C.M., Krakow K., Allen P., Josephs O., Armony J.L., Frith C.D. Auditory processing across the sleep-wake cycle: simultaneous EEG and fMRI monitoring in humans. NeuroImage 2000, 28:991-999.
48. Sämann P.G., Wehrle R., Hoehn D., Spoormaker V.I., Peters H., Tully C., F, H., Czisch M. Development of the brain's default mode network from wakefulness to slow wave sleep. Cereb. Cortex 2011, 21:2082-2093.
49. Schabus M., Dang-Vu T.T., Albouy G., Balteau E., Boly M., Carrier J., Darsaud A., Degueldre C., Desseilles M., Gais S., Phillips C., Rauchs G., Schnakers C., Sterpenich V., Vandewalle G., Luxen A., Maquet P. Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep. Proc. Natl. Acad. Sci. 2007, 104:13164-13169.
50. Shirer W.R., Ryali S., Rykhlevskaia E., Menon V., Greicius M.D. Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cereb. Cortex 2011, 10.1093/cercor/bhr099.
51. Silber M., Ancoli-Israel S., Bonnet M., Chokroverty S., Grigg-Damberger M., Hirshkowitz M., Kapen S., Keenan S., Kryger M., Penzel T., Pressman M., Iber C. The visual scoring of sleep in adults. J. Clin. Sleep Med. 2007, 3:121-131.
52. Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox P.M., Mackay C.E., Filippini N., Watkins K.E., Toro R., Laird A.R., Beckmann C.F. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U.S.A. 2009, 106:13040-13045.
53. Snyder F., Hobson J.A., Morrison D.F., Goldfrank F. Changes in respiration, heart rate, and systolic blood pressure in human sleep. J. Appl. Physiol. 1964, 19:417-422.
54. Spoormaker V.I., Schröter M.S., Gleiser P.M., Andrade K.C., Dresler M., Wehrle R., Sämann P.G., Czisch M. Development of a large-scale functional brain network during human non-rapid eye movement sleep. J. Neurosci. 2010, 30:11379-11387.
55. Stern J.M., Caporro M., Haneef Z., Yeh H.J., Buttinelli C., Lenartowicz A., Mumford J.A., Parvizi J., Poldrack R.A. Functional imaging of sleep vertex sharp transients. Clin. Neurophysiol. 2011, 122:1382-1386.
56. Tipping M. Sparse Bayesian learning and the relevance vector machine. J. Mach. Learn. Res. 2001, 1:211-244.
57. Tzourio-Mazoyer N., Landeau N., Papathanassiou B., Crivello D., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 2002, 15:273-289.
58. van Dijk K., Hedden T., Venkataraman A., Evans K., Lazar S., Buckner R. Intrinsic functional connectivity as a tool for human connectomics: theory, properties and optimization. J. Neurophysiol. 2010, 103:297-321.
59. Water A.T.M.V.D., Holmes A., Hurley D.A. Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography - a systematic review. J. Sleep Res. 2011, 20:182-200.
60. Xiao Y., Rao R., Cecchi G., Kaplan E. Improved mapping of information distribution across the cortical surface with the support vector machine. NeuroImage 2008, 21:341-348.