{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:16:18Z","timestamp":1740143778305,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2017,11,7]],"date-time":"2017-11-07T00:00:00Z","timestamp":1510012800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004564","name":"Ministry of Education, Science and Technological Development of the Republic of Serbia","doi-asserted-by":"crossref","award":["OI 173022","III 41028"],"award-info":[{"award-number":["OI 173022","III 41028"]}],"id":[{"id":"10.13039\/501100004564","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s11517-017-1746-3","type":"journal-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T20:20:46Z","timestamp":1509999646000},"page":"967-978","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake"],"prefix":"10.1007","volume":"56","author":[{"given":"Aleksandar","family":"Kalauzi","sequence":"first","affiliation":[]},{"given":"Aleksandra","family":"Vuckovic","sequence":"additional","affiliation":[]},{"given":"Tijana","family":"Boji\u0107","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,7]]},"reference":[{"key":"1746_CR1","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s004220050394","volume":"77","author":"A Accardo","year":"1997","unstructured":"Accardo A, Affinito M, Carrozzi M, Bouquet F (1997) Use of the fractal dimension for the analysis of electroencephalographic time series. Biol Cybern 77:339\u2013350","journal-title":"Biol Cybern"},{"key":"1746_CR2","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.cmpb.2005.06.011","volume":"80","author":"RU Acharya","year":"2005","unstructured":"Acharya RU, Faust O, Kannathal N, Chua T, Laxminarayan S (2005) Non-linear analysis of EEG signals at various sleep stages. Comput Methods Prog Biomed 80:37\u201345","journal-title":"Comput Methods Prog Biomed"},{"key":"1746_CR3","first-page":"209","volume-title":"Volume 3452 of the series Lecture Notes in Computer Science","author":"D Berwanger","year":"2005","unstructured":"Berwanger D, Gr\u00e4del E (2005) Entanglement\u2014a measure for the complexity of directed graphs with applications to logic and games. In: Baader F, Voronkov A (eds) Volume 3452 of the series Lecture Notes in Computer Science. Springer, Berlin, pp 209\u2013223"},{"issue":"2","key":"1746_CR4","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jtbi.2009.10.001","volume":"262","author":"T Boji\u0107","year":"2010","unstructured":"Boji\u0107 T, Vuckovic A, Kalauzi A (2010) Modeling EEG fractal dimension changes in wake and drowsy states in humans\u2014a preliminary study. J Theor Biol 262(2):214\u2013222","journal-title":"J Theor Biol"},{"issue":"1","key":"1746_CR5","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1196\/annals.1417.015","volume":"1129","author":"M Boly","year":"2008","unstructured":"Boly M, Phillips C, Tshibanda L, Vanhaudenhuyse A, Schabus M, Dang-Vu TT, Moonen G, Hustinx R, Maquet P, Laureys S (2008) Intrinsic brain activity in altered states of consciousness: how conscious is the default mode of brain function? Ann N Y Acad Sci 1129(1):119\u2013129","journal-title":"Ann N Y Acad Sci"},{"key":"1746_CR6","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.cmpb.2016.12.004","volume":"140","author":"R Boostani","year":"2017","unstructured":"Boostani R, Karimzadeh F, Torabi-Nami M (2017) A comparative review on sleep stage classification methods in patients and healthy individuals. Comput Methods Prog Biomed 140:77\u201391. \nhttps:\/\/doi.org\/10.1016\/j.cmpb.2016.12.004","journal-title":"Comput Methods Prog Biomed"},{"issue":"2","key":"1746_CR7","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1109\/81.904882","volume":"48","author":"R Esteller","year":"2001","unstructured":"Esteller R, Vachtsevanos G, Echauz J, Litt B (2001) A comparison of waveform fractal dimension algorithms. IEEE Trans Circuits Syst I: Fundam Theory Appl 48(2):177\u2013183","journal-title":"IEEE Trans Circuits Syst I: Fundam Theory Appl"},{"issue":"27","key":"1746_CR8","doi-asserted-by":"crossref","first-page":"9673","DOI":"10.1073\/pnas.0504136102","volume":"102","author":"MD Fox","year":"2005","unstructured":"Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci U S A 102(27):9673\u20139678","journal-title":"Proc Natl Acad Sci U S A"},{"key":"1746_CR9","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/0167-2789(88)90081-4","volume":"31","author":"T Higuchi","year":"1988","unstructured":"Higuchi T (1988) Approach to an irregular time series on the basis of the fractal theory. Physica D 31:277\u2013283","journal-title":"Physica D"},{"key":"1746_CR10","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/1753-4631-3-8","volume":"3","author":"A Kalauzi","year":"2009","unstructured":"Kalauzi A, Boji\u0107 T, Raki\u0107 LJ (2009) Extracting complexity waveforms from one-dimensional signals. Nonlinear Biomed Phys 3:8","journal-title":"Nonlinear Biomed Phys"},{"issue":"4","key":"1746_CR11","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1142\/S0218348X05002933","volume":"13","author":"A Kalauzi","year":"2005","unstructured":"Kalauzi A, Spasic S, Culic M, Grbic G, Martac LJ (2005) Consecutive differences as a method of signal fractal analysis. Fractals 13(4):283\u2013292","journal-title":"Fractals"},{"issue":"3","key":"1746_CR12","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.ijpsycho.2012.04.012","volume":"86","author":"A Kalauzi","year":"2012","unstructured":"Kalauzi A, Vuckovic A, Boji\u0107 T (2012) EEG alpha phase shifts during transition from wakefulness to drowsiness. Int J Psychophysiol 86(3):195\u2013205","journal-title":"Int J Psychophysiol"},{"issue":"3","key":"1746_CR13","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.ijpsycho.2014.11.008","volume":"95","author":"A Kalauzi","year":"2015","unstructured":"Kalauzi A, Vuckovic A, Boji\u0107 T (2015) Topographic distribution of EEG alpha attractor correlation dimension values in wake and drowsy states in humans. Int J Psychophysiol 95(3):278\u2013291","journal-title":"Int J Psychophysiol"},{"issue":"3","key":"1746_CR14","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0010-4825(88)90041-8","volume":"18","author":"M Katz","year":"1988","unstructured":"Katz M (1988) Fractals and the analysis of waveforms. Comput Biol Med 18(3):145\u2013156","journal-title":"Comput Biol Med"},{"key":"1746_CR15","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.brainresrev.2006.06.003","volume":"53","author":"W Klimesch","year":"2007","unstructured":"Klimesch W, Sauseng P, Hanslmayr S (2007) EEG alpha oscillations: the inhibition-timing hypothesis. Brain Res Rev 53:63\u201388","journal-title":"Brain Res Rev"},{"issue":"6","key":"1746_CR16","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/0006-3223(93)90167-C","volume":"33","author":"M Koukkou","year":"1993","unstructured":"Koukkou M, Lehmann D, Wackermann J, Dvorak I, Henggeler B (1993) Dimensional complexity of EEG brain mechanisms in untreated schizophrenia. Biol Psychiatry 33(6):397\u2013407","journal-title":"Biol Psychiatry"},{"key":"1746_CR17","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C","volume":"8","author":"JP Lachaux","year":"1999","unstructured":"Lachaux JP, Rodriguez E, Martinerie J, Varela FJ (1999) Measuring phase synchrony in brain signals. Hum Brain Mapp 8:194\u2013208","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"1746_CR18","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1016\/j.neuroimage.2006.02.002","volume":"31","author":"H Laufs","year":"2006","unstructured":"Laufs H, Holt JL, Elfont R, Krams M, Paul JS, Krakow K, Kleinschmidt A (2006) Where the BOLD signal goes when alpha EEG leaves. NeuroImage 31(4):1408\u20131418","journal-title":"NeuroImage"},{"key":"1746_CR19","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/0013-4694(71)90165-9","volume":"31","author":"D Lehmann","year":"1971","unstructured":"Lehmann D (1971) Multichannel topography of human alpha EEG fields. Electroencephalogr Clin Neurophysiol 31:439\u2013449","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1746_CR20","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0013-4694(87)90025-3","volume":"67","author":"D Lehmann","year":"1987","unstructured":"Lehmann D, Ozaki H, Pal I (1987) EEG alpha map series: brain micro-states by space-oriented adaptive segmentation. Electroencephalogr Clin Neurophysiol 67:271\u2013288","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1746_CR21","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/BF01129967","volume":"5","author":"W Lutzenberger","year":"1992","unstructured":"Lutzenberger W, Elbert T, Birbaumer N, Ray WJ, Schupp HT (1992) The scalp distribution of fractal dimension of the EEG and its variation with mental task. Brain Topogr 5:27\u201334","journal-title":"Brain Topogr"},{"key":"1746_CR22","doi-asserted-by":"publisher","unstructured":"Ma Y, Shi W, Peng C-K, Yang AC (2017) Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Sleep Med Rev. \nhttps:\/\/doi.org\/10.1016\/j.smrv.2017.01.003","DOI":"10.1016\/j.smrv.2017.01.003"},{"issue":"31","key":"1746_CR23","doi-asserted-by":"publisher","first-page":"6862","DOI":"10.1523\/JNEUROSCI.1318-04.2004","volume":"24","author":"M Massimini","year":"2004","unstructured":"Massimini M (2004) The sleep slow oscillation as a traveling wave. J Neurosci 24(31):6862\u20136870. \nhttps:\/\/doi.org\/10.1523\/JNEUROSCI.1318-04.2004","journal-title":"J Neurosci"},{"issue":"1","key":"1746_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1475-925X-3-7","volume":"3","author":"K Natarajan","year":"2004","unstructured":"Natarajan K, Acharya R, Alias F, Tiboleng T, Puthusserypady SK (2004) Nonlinear analysis of EEG signals at different mental states. Biomed Eng Online 3(1):1","journal-title":"Biomed Eng Online"},{"key":"1746_CR25","doi-asserted-by":"publisher","first-page":"2292","DOI":"10.1016\/j.clinph.2004.04.029","volume":"115","author":"G Nolte","year":"2004","unstructured":"Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M (2004) Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol 115:2292\u20132307. \nhttps:\/\/doi.org\/10.1016\/j.clinph.2004.04.029","journal-title":"Clin Neurophysiol"},{"issue":"11","key":"1746_CR26","doi-asserted-by":"publisher","first-page":"2424","DOI":"10.1016\/j.clinph.2006.06.754","volume":"117","author":"PL Nunez","year":"2006","unstructured":"Nunez PL, Srinivasan R (2006) A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness. Clin Neurophysiol 117(11):2424\u20132435. \nhttps:\/\/doi.org\/10.1016\/j.clinph.2006.06.754","journal-title":"Clin Neurophysiol"},{"key":"1746_CR27","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.tins.2007.02.001","volume":"30","author":"S Palva","year":"2007","unstructured":"Palva S, Palva JM (2007) New vistas for [alpha]-frequency band oscillations. Trends Neurosci 30:150\u2013158","journal-title":"Trends Neurosci"},{"key":"1746_CR28","doi-asserted-by":"crossref","unstructured":"Petrosian A (1995) Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns, In: Computer-based medical systems, Proceedings of the Eighth IEEE Symposium on; IEEE, pp 212\u2013217","DOI":"10.1109\/CBMS.1995.465426"},{"issue":"1","key":"1746_CR29","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/0013-4694(75)90215-1","volume":"38","author":"G Pfurtscheller","year":"1975","unstructured":"Pfurtscheller G, Cooper R (1975) Frequency dependence of the transmission of the EEG from cortex to scalp. Electroencephalogr Clin Neurophysiol 38(1):93\u201396","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1746_CR30","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/S0304-3940(97)00192-4","volume":"225","author":"H Preisl","year":"1997","unstructured":"Preisl H, Lutzenberger W, Pulverm\u00fcller F, Birbaumer N (1997) Fractal dimension of short EEG time series in humans. Neurosci Lett 225:77\u201380","journal-title":"Neurosci Lett"},{"key":"1746_CR31","unstructured":"Rezaei SSC (2013) Entropy and graphs, master thesis, University of Waterloo, Waterloo, Ontario, \nhttps:\/\/arxiv.org\/pdf\/1311.5632.pdf\n\n, Accessed 25 Aug 2017"},{"issue":"01","key":"1746_CR32","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1017\/S0305004100075174","volume":"111","author":"CE Soteros","year":"1992","unstructured":"Soteros CE, Sumners DW, Whittington SG (1992) Entanglement complexity of graphs in Z 3. Math Proc Camb 111(01):75\u201391","journal-title":"Math Proc Camb"},{"key":"1746_CR33","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1002\/hbm.20346","volume":"28","author":"CJ Stam","year":"2007","unstructured":"Stam CJ, Nolte G, Daffertshofer A (2007) Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum Brain Mapp 28:1178\u20131193. \nhttps:\/\/doi.org\/10.1002\/hbm.20346","journal-title":"Hum Brain Mapp"},{"key":"1746_CR34","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1007\/BF02518873","volume":"36","author":"JG Stinstra","year":"1998","unstructured":"Stinstra JG, Peters MJ (1998) The volume conductor may act as a temporal filter on the ECG and EEG. Med Biol Eng Comput 36:711\u2013716","journal-title":"Med Biol Eng Comput"},{"key":"1746_CR35","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.artmed.2008.07.005","volume":"44","author":"K \u0160u\u0161m\u00e1kov\u00e1","year":"2008","unstructured":"\u0160u\u0161m\u00e1kov\u00e1 K, Krakovsk\u00e1 A (2008) Discrimination ability of individual measures used in sleep stages classification. Artif Intell Med 44:261\u2013277. \nhttps:\/\/doi.org\/10.1016\/j.artmed.2008.07.005","journal-title":"Artif Intell Med"},{"key":"1746_CR36","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1016\/j.neuroimage.2011.01.055","volume":"55","author":"M Vinck","year":"2011","unstructured":"Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CMA (2011) An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. NeuroImage 55:1548\u20131565. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2011.01.055","journal-title":"NeuroImage"},{"issue":"5","key":"1746_CR37","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/S1350-4533(02)00030-9","volume":"24","author":"A Vuckovic","year":"2002","unstructured":"Vuckovic A, Radivojevic V, Chen AC, Popovic D (2002) Automatic recognition of alertness and drowsiness from EEG by an artificial neural network. Med Eng Phys 24(5):349\u2013360","journal-title":"Med Eng Phys"},{"key":"1746_CR38","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.brainresbull.2010.12.005","volume":"84","author":"B Weiss","year":"2011","unstructured":"Weiss B, Clemens Z, B\u00f3dizs R, Hal\u00e1sz P (2011) Comparison of fractal and power spectral EEG features: effects of topography and sleep stages. Brain Res Bull 84:359\u2013375. \nhttps:\/\/doi.org\/10.1016\/j.brainresbull.2010.12.005","journal-title":"Brain Res Bull"},{"key":"1746_CR39","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.jneumeth.2009.07.027","volume":"185","author":"B Weiss","year":"2009","unstructured":"Weiss B, Clemens Z, B\u00f3dizs R, V\u00e1g\u00f3 Z, Hal\u00e1sz P (2009) Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG. J Neurosci Methods 185:116\u2013124. \nhttps:\/\/doi.org\/10.1016\/j.jneumeth.2009.07.027","journal-title":"J Neurosci Methods"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-017-1746-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-017-1746-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-017-1746-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T00:57:01Z","timestamp":1526950621000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-017-1746-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,7]]},"references-count":39,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["1746"],"URL":"https:\/\/doi.org\/10.1007\/s11517-017-1746-3","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"type":"print","value":"0140-0118"},{"type":"electronic","value":"1741-0444"}],"subject":[],"published":{"date-parts":[[2017,11,7]]}}}