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Volumn 8, Issue 3, 2013, Pages

Exploring Age-Related Changes in Dynamical Non-Stationarity in Electroencephalographic Signals during Early Adolescence

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; AGE; ALPHA RHYTHM; ARTICLE; BRAIN DEVELOPMENT; BRAIN FUNCTION; BRAIN REGION; CHILD; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; QUANTITATIVE ANALYSIS; SCHOOL CHILD; SIGNAL TRANSDUCTION;

EID: 84875008493     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0057217     Document Type: Article
Times cited : (13)

References (35)
  • 1
    • 34548477467 scopus 로고    scopus 로고
    • Metastability, criticality and phase transitions in brain and its models
    • Werner G, (2007) Metastability, criticality and phase transitions in brain and its models. Biosystems 90: 496-508.
    • (2007) Biosystems , vol.90 , pp. 496-508
    • Werner, G.1
  • 2
    • 0026684708 scopus 로고
    • Coherent 25- to 35-hz oscillations in the sensorimotor cortex of awake behaving monkeys
    • Murthy V, Fetz E, (1992) Coherent 25- to 35-hz oscillations in the sensorimotor cortex of awake behaving monkeys. Proc Natl Acad Sci U S A 89: 5670-5674.
    • (1992) Proc Natl Acad Sci U S A , vol.89 , pp. 5670-5674
    • Murthy, V.1    Fetz, E.2
  • 4
  • 5
    • 24644505364 scopus 로고    scopus 로고
    • Nonlinear dynamical analysis of EEG and MEG: review of an emerging field
    • Stam C, (2005) Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. Clin Neurophysiol 116: 2266-301.
    • (2005) Clin Neurophysiol , vol.116 , pp. 2266-2301
    • Stam, C.1
  • 6
    • 0003898987 scopus 로고    scopus 로고
    • Principles of brain functioning
    • Haken H, (1996) Principles of brain functioning. Springer.
    • (1996) Springer
    • Haken, H.1
  • 7
    • 45449095668 scopus 로고    scopus 로고
    • Cortical network dynamics with time delays reveals functional connectivity in the resting brain
    • Ghosh A, Rho Y, McIntosh A, Ktter R, Jirsa V, (2008) Cortical network dynamics with time delays reveals functional connectivity in the resting brain. Cognitive Neurodynamics 2: 115-120.
    • (2008) Cognitive Neurodynamics , vol.2 , pp. 115-120
    • Ghosh, A.1    Rho, Y.2    McIntosh, A.3    Ktter, R.4    Jirsa, V.5
  • 11
  • 12
    • 22244479670 scopus 로고    scopus 로고
    • Stationarity and nonstationarity in time series analysis
    • Manuca R, Savit R, (1996) Stationarity and nonstationarity in time series analysis. Physica D: Nonlinear Phenomen 99: 134-161.
    • (1996) Physica D: Nonlinear Phenomen , vol.99 , pp. 134-161
    • Manuca, R.1    Savit, R.2
  • 13
    • 0000484363 scopus 로고    scopus 로고
    • Classification of time series data with nonlinear similarity measures
    • Schreiber T, Schmitz A, (1997) Classification of time series data with nonlinear similarity measures. Physical Review Letters 79: 1475-1478.
    • (1997) Physical Review Letters , vol.79 , pp. 1475-1478
    • Schreiber, T.1    Schmitz, A.2
  • 14
    • 0034195170 scopus 로고    scopus 로고
    • Learning dynamics from nonstationary time series: analysis of electroencephalograms
    • Gribkov D, Gribkova V, (2000) Learning dynamics from nonstationary time series: analysis of electroencephalograms. Physics Review E 6: 65386545.
    • (2000) Physics Review E , vol.6 , pp. 65386545
    • Gribkov, D.1    Gribkova, V.2
  • 15
    • 25844507980 scopus 로고    scopus 로고
    • Nonstationary nature of the brain activity as revealed by EEG/MEG: methodological, practical and conceptual challenges
    • Kaplan A, Fingelkurts A, Fingelkurts A, Borisov S, Darkhovsky B, (2005) Nonstationary nature of the brain activity as revealed by EEG/MEG: methodological, practical and conceptual challenges. Signal processing 85: 21902212.
    • (2005) Signal Processing , vol.85 , pp. 21902212
    • Kaplan, A.1    Fingelkurts, A.2    Fingelkurts, A.3    Borisov, S.4    Darkhovsky, B.5
  • 18
    • 48249142843 scopus 로고    scopus 로고
    • Increased brain signal variability accompanies lower behavioral variability in development
    • McIntosh A, Kovacevic N, Itier R, (2008) Increased brain signal variability accompanies lower behavioral variability in development. Plos Comp Biol 4: e1000106.
    • (2008) Plos Comp Biol , vol.4
    • McIntosh, A.1    Kovacevic, N.2    Itier, R.3
  • 19
    • 78650380421 scopus 로고    scopus 로고
    • Differential maturation of brain signal complexity in the human auditory and visual system
    • Lippé S, Kovacevic N, McIntosh A, (2009) Differential maturation of brain signal complexity in the human auditory and visual system. Frontiers in Human Neuroscience 3: 48.
    • (2009) Frontiers in Human Neuroscience , vol.3 , pp. 48
    • Lippé, S.1    Kovacevic, N.2    McIntosh, A.3
  • 20
    • 0001494176 scopus 로고
    • Entropy per unit time as a metric invariant of automorphism
    • Kolmogorov A, (1959) Entropy per unit time as a metric invariant of automorphism. Doklady of Russian Academy of Sciences 124: 754-755.
    • (1959) Doklady of Russian Academy of Sciences , vol.124 , pp. 754-755
    • Kolmogorov, A.1
  • 21
    • 4243243202 scopus 로고
    • Estimation of the kolmogorov entropy from a chaotic signal
    • Grassberger P, Procaccia I, (1983) Estimation of the kolmogorov entropy from a chaotic signal. PhysRevA 28: 2591-93.
    • (1983) PhysRevA , vol.28 , pp. 2591-2593
    • Grassberger, P.1    Procaccia, I.2
  • 23
    • 1242283941 scopus 로고    scopus 로고
    • EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
    • Delorme A, Makeig S, (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134: 9-21.
    • (2004) J Neurosci Methods , vol.134 , pp. 9-21
    • Delorme, A.1    Makeig, S.2
  • 25
    • 0348133440 scopus 로고    scopus 로고
    • Non-stationary EEG: methodological and experimental analysis
    • Kaplan A, (1998) Non-stationary EEG: methodological and experimental analysis. Usp Physiol Nauk 29: 35-55.
    • (1998) Usp Physiol Nauk , vol.29 , pp. 35-55
    • Kaplan, A.1
  • 26
    • 84875008512 scopus 로고
    • A course in mathematical analysis
    • Kudryavtsev L, (1989) A course in mathematical analysis. Nauka, Moscow.
    • (1989) Nauka, Moscow
    • Kudryavtsev, L.1
  • 27
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • Frey B, Dueck D, (2007) Clustering by passing messages between data points. Science 315: 972-976.
    • (2007) Science , vol.315 , pp. 972-976
    • Frey, B.1    Dueck, D.2
  • 28
    • 0036027738 scopus 로고    scopus 로고
    • Event-related neural activity associated with habit and recollection
    • Hay J, Kane K, West R, Alain C, (2002) Event-related neural activity associated with habit and recollection. Neuropsychologia 40: 260-70.
    • (2002) Neuropsychologia , vol.40 , pp. 260-270
    • Hay, J.1    Kane, K.2    West, R.3    Alain, C.4
  • 29
    • 0035003914 scopus 로고    scopus 로고
    • Spatiotemporal analysis of experimental differences in event-related potential data with partial least squares
    • Lobaugh N, West R, McIntosh A, (2001) Spatiotemporal analysis of experimental differences in event-related potential data with partial least squares. Psychophysiology 38: 517-30.
    • (2001) Psychophysiology , vol.38 , pp. 517-530
    • Lobaugh, N.1    West, R.2    McIntosh, A.3
  • 30
    • 0037330905 scopus 로고    scopus 로고
    • A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory
    • Düzel E, Habib R, Schott B, Schoenfeld A, Lobaugh N, et al. (2003) A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory. Neuroimage 18: 185-97.
    • (2003) Neuroimage , vol.18 , pp. 185-197
    • Düzel, E.1    Habib, R.2    Schott, B.3    Schoenfeld, A.4    Lobaugh, N.5
  • 31
    • 7044249748 scopus 로고    scopus 로고
    • Partial least squares analysis of neuroimaging data: applications and advances
    • McIntosh A, Lobaugh N, (2004) Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage 23: S250-63.
    • (2004) Neuroimage , vol.23
    • McIntosh, A.1    Lobaugh, N.2
  • 32
    • 0023257527 scopus 로고
    • Eeg alpha map series: brain micro-states by space-oriented adaptive segmentation
    • Lehmann D, Ozaki H, Pal I, (1987) Eeg alpha map series: brain micro-states by space-oriented adaptive segmentation. Electroenceph Clin Neurophysiol 67: 271-288.
    • (1987) Electroenceph Clin Neurophysiol , vol.67 , pp. 271-288
    • Lehmann, D.1    Ozaki, H.2    Pal, I.3
  • 33
    • 0036331286 scopus 로고    scopus 로고
    • Millisecond by millisecond, year by year: Normative EEG microstates and developmental stages
    • Koenig T, Prichep L, Lehmann D, Valdes Sosa P, Braeker E, et al. (2002) Millisecond by millisecond, year by year: Normative EEG microstates and developmental stages. NeuroImage 16: 41-48.
    • (2002) NeuroImage , vol.16 , pp. 41-48
    • Koenig, T.1    Prichep, L.2    Lehmann, D.3    Valdes Sosa, P.4    Braeker, E.5
  • 34
    • 79955780866 scopus 로고    scopus 로고
    • Variability of brain signals processed locally transforms into higher connectivity with brain development
    • Vakorin V, Lippé S, McIntosh A, (2011) Variability of brain signals processed locally transforms into higher connectivity with brain development. Journal of neuroscience 31: 6405-6413.
    • (2011) Journal of Neuroscience , vol.31 , pp. 6405-6413
    • Vakorin, V.1    Lippé, S.2    McIntosh, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.