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Volumn 81, Issue 2, 2017, Pages 199-211

Developmental changes in neuromagnetic rhythms and network synchrony in autism

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; AUTISM; AUTISM DIAGNOSTIC OBSERVATION SCHEDULE; BRAIN DEVELOPMENT; BRAIN FUNCTION; BRAIN MAPPING; CEREBELLUM; CHILD; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; FEMALE; FRONTAL CORTEX; FUNCTIONAL CONNECTIVITY; HUMAN; LINEAR REGRESSION ANALYSIS; MAGNETOENCEPHALOGRAPHY; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE ANALYSIS; NEUROPHYSIOLOGY; NONLINEAR REGRESSION ANALYSIS; OSCILLATION; PRIORITY JOURNAL; RESTING STATE NETWORK; SCHOOL CHILD; SPECTRAL SENSITIVITY; CONNECTOME; FRONTAL LOBE; NERVE CELL NETWORK; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

EID: 85011343882     PISSN: 03645134     EISSN: 15318249     Source Type: Journal    
DOI: 10.1002/ana.24836     Document Type: Article
Times cited : (27)

References (54)
  • 1
    • 84857697904 scopus 로고    scopus 로고
    • Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity
    • Just MA, Keller TA, Malave VL, et al. Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity. Neurosci Biobehav Rev 2012;36:1292–1313.
    • (2012) Neurosci Biobehav Rev , vol.36 , pp. 1292-1313
    • Just, M.A.1    Keller, T.A.2    Malave, V.L.3
  • 2
    • 27644575869 scopus 로고    scopus 로고
    • The weak coherence account: detail-focused cognitive style in autism spectrum disorders
    • Happé F, Frith U. The weak coherence account: detail-focused cognitive style in autism spectrum disorders. J Autism Dev Disord 2006;36:5–25.
    • (2006) J Autism Dev Disord , vol.36 , pp. 5-25
    • Happé, F.1    Frith, U.2
  • 3
    • 84897619126 scopus 로고    scopus 로고
    • The implications of brain connectivity in the neuropsychology of autism
    • Maximo JO, Cadena EJ, Kana RK. The implications of brain connectivity in the neuropsychology of autism. Neuropsychol Rev 2014;24:16–31.
    • (2014) Neuropsychol Rev , vol.24 , pp. 16-31
    • Maximo, J.O.1    Cadena, E.J.2    Kana, R.K.3
  • 4
    • 79960240142 scopus 로고    scopus 로고
    • Underconnected, but how?. A survey of functional connectivity MRI studies in autism spectrum disorders
    • Müller R-A, Shih P, Keehn B, et al. Underconnected, but how?. A survey of functional connectivity MRI studies in autism spectrum disorders. Cereb Cortex 2011;21:2233–2243.
    • (2011) Cereb Cortex , vol.21 , pp. 2233-2243
    • Müller, R.-A.1    Shih, P.2    Keehn, B.3
  • 5
    • 84901284227 scopus 로고    scopus 로고
    • The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
    • Di Martino A, Yan C-G, Li Q, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 2014;19:659–667.
    • (2014) Mol Psychiatry , vol.19 , pp. 659-667
    • Di Martino, A.1    Yan, C.-G.2    Li, Q.3
  • 6
    • 84923174333 scopus 로고    scopus 로고
    • The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder
    • Hahamy A, Behrmann M, Malach R. The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder. Nat Neurosci 2015;18:302–309.
    • (2015) Nat Neurosci , vol.18 , pp. 302-309
    • Hahamy, A.1    Behrmann, M.2    Malach, R.3
  • 7
    • 84933670488 scopus 로고    scopus 로고
    • Reconceptualizing functional brain connectivity in autism from a developmental perspective
    • Uddin LQ, Supekar K, Menon V. Reconceptualizing functional brain connectivity in autism from a developmental perspective. Front Hum Neurosci 2013;7:458.
    • (2013) Front Hum Neurosci , vol.7 , pp. 458
    • Uddin, L.Q.1    Supekar, K.2    Menon, V.3
  • 8
    • 84944178004 scopus 로고    scopus 로고
    • Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan
    • Ecker C, Bookheimer SY, Murphy DG. Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan. Lancet Neurol 2015;14:1121–1134.
    • (2015) Lancet Neurol , vol.14 , pp. 1121-1134
    • Ecker, C.1    Bookheimer, S.Y.2    Murphy, D.G.3
  • 9
    • 84924767174 scopus 로고    scopus 로고
    • Developmental changes in large-scale network connectivity in autism
    • Nomi JS, Uddin LQ. Developmental changes in large-scale network connectivity in autism. Neuroimage Clin 2015;7:732–741.
    • (2015) Neuroimage Clin , vol.7 , pp. 732-741
    • Nomi, J.S.1    Uddin, L.Q.2
  • 11
    • 34447274445 scopus 로고    scopus 로고
    • Resting state cortical connectivity reflected in EEG coherence in individuals with autism
    • Murias M, Webb SJ, Greenson J, Dawson G. Resting state cortical connectivity reflected in EEG coherence in individuals with autism. Biol Psychiatry 2007;62:270–273.
    • (2007) Biol Psychiatry , vol.62 , pp. 270-273
    • Murias, M.1    Webb, S.J.2    Greenson, J.3    Dawson, G.4
  • 12
    • 85028276222 scopus 로고    scopus 로고
    • Joint analysis of band-specific functional connectivity and signal complexity in autism
    • Ghanbari Y, Bloy L, Edgar JC, et al. Joint analysis of band-specific functional connectivity and signal complexity in autism. J Autism Dev Disord 2013;45:444–460.
    • (2013) J Autism Dev Disord , vol.45 , pp. 444-460
    • Ghanbari, Y.1    Bloy, L.2    Edgar, J.C.3
  • 13
    • 84911423049 scopus 로고    scopus 로고
    • Atypical resting synchrony in autism spectrum disorder
    • Ye AX, Leung RC, Schäfer CB, et al. Atypical resting synchrony in autism spectrum disorder. Hum Brain Mapp 2014;35:6049–6066.
    • (2014) Hum Brain Mapp , vol.35 , pp. 6049-6066
    • Ye, A.X.1    Leung, R.C.2    Schäfer, C.B.3
  • 14
    • 84926349743 scopus 로고    scopus 로고
    • Altered development and multifaceted band-specific abnormalities of resting state networks in autism
    • Kitzbichler MG, Khan S, Ganesan S, et al. Altered development and multifaceted band-specific abnormalities of resting state networks in autism. Biol Psychiatry 2015;77:794–804.
    • (2015) Biol Psychiatry , vol.77 , pp. 794-804
    • Kitzbichler, M.G.1    Khan, S.2    Ganesan, S.3
  • 15
    • 84866742492 scopus 로고    scopus 로고
    • Resting-state oscillatory activity in autism spectrum disorders
    • Cornew L, Roberts TP, Blaskey L, Edgar JC. Resting-state oscillatory activity in autism spectrum disorders. J Autism Dev Disord 2012;42:1884–1894.
    • (2012) J Autism Dev Disord , vol.42 , pp. 1884-1894
    • Cornew, L.1    Roberts, T.P.2    Blaskey, L.3    Edgar, J.C.4
  • 16
    • 80053647086 scopus 로고    scopus 로고
    • Investigating the electrophysiological basis of resting state networks using magnetoencephalography
    • Brookes MJ, Woolrich M, Luckhoo H, et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc Natl Acad Sci U S A 2011;108:16783–16788.
    • (2011) Proc Natl Acad Sci U S A , vol.108 , pp. 16783-16788
    • Brookes, M.J.1    Woolrich, M.2    Luckhoo, H.3
  • 17
    • 84861574104 scopus 로고    scopus 로고
    • Large-scale cortical correlation structure of spontaneous oscillatory activity
    • Hipp JF, Hawellek DJ, Corbetta M, et al. Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat Neurosci 2012;15:884–890.
    • (2012) Nat Neurosci , vol.15 , pp. 884-890
    • Hipp, J.F.1    Hawellek, D.J.2    Corbetta, M.3
  • 18
    • 84861423904 scopus 로고    scopus 로고
    • A cortical core for dynamic integration of functional networks in the resting human brain
    • de Pasquale F, Della Penna S, Snyder AZ, et al. A cortical core for dynamic integration of functional networks in the resting human brain. Neuron 2012;74:753–764.
    • (2012) Neuron , vol.74 , pp. 753-764
    • de Pasquale, F.1    Della Penna, S.2    Snyder, A.Z.3
  • 19
    • 84898730827 scopus 로고    scopus 로고
    • Fast transient networks in spontaneous human brain activity
    • Baker AP, Brookes MJ, Rezek IA, et al. Fast transient networks in spontaneous human brain activity. Elife 2014;3:e01867.
    • (2014) Elife , vol.3
    • Baker, A.P.1    Brookes, M.J.2    Rezek, I.A.3
  • 20
    • 84902963560 scopus 로고    scopus 로고
    • Oscillations, networks, and their development: MEG connectivity changes with age
    • Schäfer CB, Morgan BR, Ye AX, et al. Oscillations, networks, and their development: MEG connectivity changes with age. Hum Brain Mapp 2014;35:5249–5261.
    • (2014) Hum Brain Mapp , vol.35 , pp. 5249-5261
    • Schäfer, C.B.1    Morgan, B.R.2    Ye, A.X.3
  • 21
    • 84861459104 scopus 로고    scopus 로고
    • The organization of physiological brain networks
    • Stam CV, Van Straaten E. The organization of physiological brain networks. Clin Neurophysiol 2012;123:1067–1087.
    • (2012) Clin Neurophysiol , vol.123 , pp. 1067-1087
    • Stam, C.V.1    Van Straaten, E.2
  • 22
    • 84929340594 scopus 로고    scopus 로고
    • Cognitive training enhances intrinsic brain connectivity in childhood
    • Astle DE, Barnes JJ, Baker K, et al. Cognitive training enhances intrinsic brain connectivity in childhood. J Neurosci 2015;35:6277–6283.
    • (2015) J Neurosci , vol.35 , pp. 6277-6283
    • Astle, D.E.1    Barnes, J.J.2    Baker, K.3
  • 23
    • 0033802632 scopus 로고    scopus 로고
    • The Autism Diagnostic Observation Schedule—Generic: a standard measure of social and communication deficits associated with the spectrum of autism
    • Lord C, Risi S, Lambrecht L, et al. The Autism Diagnostic Observation Schedule—Generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord 2000;30:205–223.
    • (2000) J Autism Dev Disord , vol.30 , pp. 205-223
    • Lord, C.1    Risi, S.2    Lambrecht, L.3
  • 24
    • 77957960096 scopus 로고    scopus 로고
    • Unbiased average age-appropriate atlases for pediatric studies
    • Fonov V, Evans AC, Botteron K, et al. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 2011;54:313–327.
    • (2011) Neuroimage , vol.54 , pp. 313-327
    • Fonov, V.1    Evans, A.C.2    Botteron, K.3
  • 25
    • 84879726562 scopus 로고    scopus 로고
    • Advanced normalization tools (ANTS)
    • Avants BB, Tustison N, Song G. Advanced normalization tools (ANTS). Insight J 2009;2:1–35.
    • (2009) Insight J , vol.2 , pp. 1-35
    • Avants, B.B.1    Tustison, N.2    Song, G.3
  • 27
    • 80052043191 scopus 로고    scopus 로고
    • Evaluation of multiple-sphere head models for MEG source localization
    • Lalancette M, Quraan M, Cheyne D. Evaluation of multiple-sphere head models for MEG source localization. Phys Med Biol 2011;56:5621–5635.
    • (2011) Phys Med Biol , vol.56 , pp. 5621-5635
    • Lalancette, M.1    Quraan, M.2    Cheyne, D.3
  • 28
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
    • Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002;15:273–289.
    • (2002) Neuroimage , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3
  • 29
    • 79953866895 scopus 로고    scopus 로고
    • Detection and localization of hippocampal activity using beamformers with MEG: a detailed investigation using simulations and empirical data
    • Quraan MA, Moses SN, Hung Y, et al. Detection and localization of hippocampal activity using beamformers with MEG: a detailed investigation using simulations and empirical data. Hum Brain Mapp 2011;32:812–827.
    • (2011) Hum Brain Mapp , vol.32 , pp. 812-827
    • Quraan, M.A.1    Moses, S.N.2    Hung, Y.3
  • 30
    • 0034972842 scopus 로고    scopus 로고
    • Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique
    • Sekihara K, Nagarajan SS, Poeppel D, et al. Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique. IEEE Trans Biomed Eng 2001;48:760–771.
    • (2001) IEEE Trans Biomed Eng , vol.48 , pp. 760-771
    • Sekihara, K.1    Nagarajan, S.S.2    Poeppel, D.3
  • 31
    • 33746856915 scopus 로고    scopus 로고
    • Modified beamformers for coherent source region suppression
    • Dalal SS, Sekihara K, Nagarajan SS. Modified beamformers for coherent source region suppression. IEEE Trans Biomed Eng 2006;53:1357–1363.
    • (2006) IEEE Trans Biomed Eng , vol.53 , pp. 1357-1363
    • Dalal, S.S.1    Sekihara, K.2    Nagarajan, S.S.3
  • 32
    • 84908144695 scopus 로고
    • The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms
    • Welch PD. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoustics 1967;15:70–73.
    • (1967) IEEE Trans Audio Electroacoustics , vol.15 , pp. 70-73
    • Welch, P.D.1
  • 33
    • 0005518796 scopus 로고
    • Ricker wavelets in their various guises
    • Hosken J. Ricker wavelets in their various guises. First Break 1988;6(1).
    • (1988) First Break , vol.6 , Issue.1
    • Hosken, J.1
  • 35
    • 79952707728 scopus 로고    scopus 로고
    • An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias
    • Vinck M, Oostenveld R, van Wingerden M, et al. An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage 2011;55:1548–1565.
    • (2011) Neuroimage , vol.55 , pp. 1548-1565
    • Vinck, M.1    Oostenveld, R.2    van Wingerden, M.3
  • 36
    • 79955023796 scopus 로고    scopus 로고
    • Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review
    • Krishnan A, Williams LJ, McIntosh AR, Abdi H. Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage 2011;56:455–475.
    • (2011) Neuroimage , vol.56 , pp. 455-475
    • Krishnan, A.1    Williams, L.J.2    McIntosh, A.R.3    Abdi, H.4
  • 37
    • 7044249748 scopus 로고    scopus 로고
    • Partial least squares analysis of neuroimaging data: applications and advances
    • McIntosh AR, Lobaugh NJ. Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage 2004;23(suppl 1):S250–S263.
    • (2004) Neuroimage , vol.23 , pp. S250-S263
    • McIntosh, A.R.1    Lobaugh, N.J.2
  • 38
    • 0033305929 scopus 로고    scopus 로고
    • Brain development during childhood and adolescence: a longitudinal MRI study
    • Giedd JN, Blumenthal J, Jeffries NO, et al. Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci 1999;2:861–863.
    • (1999) Nat Neurosci , vol.2 , pp. 861-863
    • Giedd, J.N.1    Blumenthal, J.2    Jeffries, N.O.3
  • 40
    • 84991518907 scopus 로고    scopus 로고
    • Life-span development of functional brain networks as assessed with minimum spanning tree analysis of resting state EEG
    • Smit D, de Geus EJ, Boersma M, et al. Life-span development of functional brain networks as assessed with minimum spanning tree analysis of resting state EEG. Brain Connect 2016;6:312–325.
    • (2016) Brain Connect , vol.6 , pp. 312-325
    • Smit, D.1    de Geus, E.J.2    Boersma, M.3
  • 41
    • 79951474767 scopus 로고    scopus 로고
    • Network analysis of resting state EEG in the developing young brain: structure comes with maturation
    • Boersma M, Smit DJ, de Bie H, et al. Network analysis of resting state EEG in the developing young brain: structure comes with maturation. Hum Brain Mapp 2011;32:413–425.
    • (2011) Hum Brain Mapp , vol.32 , pp. 413-425
    • Boersma, M.1    Smit, D.J.2    de Bie, H.3
  • 42
    • 77952139989 scopus 로고    scopus 로고
    • Neuronal synchrony reveals working memory networks and predicts individual memory capacity
    • Palva JM, Monto S, Kulashekhar S, Palva S. Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc Natl Acad Sci U S A 2010;107:7580–7585.
    • (2010) Proc Natl Acad Sci U S A , vol.107 , pp. 7580-7585
    • Palva, J.M.1    Monto, S.2    Kulashekhar, S.3    Palva, S.4
  • 44
    • 84856028099 scopus 로고    scopus 로고
    • Spectral fingerprints of large-scale neuronal interactions
    • Siegel M, Donner TH, Engel AK. Spectral fingerprints of large-scale neuronal interactions. Nat Rev Neurosci 2012;13:121–134.
    • (2012) Nat Rev Neurosci , vol.13 , pp. 121-134
    • Siegel, M.1    Donner, T.H.2    Engel, A.K.3
  • 45
    • 84937538786 scopus 로고    scopus 로고
    • Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood
    • Miskovic V, Ma X, Chou C-A, et al. Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood. Neuroimage 2015;118:237–247.
    • (2015) Neuroimage , vol.118 , pp. 237-247
    • Miskovic, V.1    Ma, X.2    Chou, C.-A.3
  • 46
    • 0019156879 scopus 로고
    • Developmental equations reflect brain dysfunctions
    • Ahn H, Prichep L, John ER, et al. Developmental equations reflect brain dysfunctions. Science 1980;210:1259–1262.
    • (1980) Science , vol.210 , pp. 1259-1262
    • Ahn, H.1    Prichep, L.2    John, E.R.3
  • 47
    • 84928138939 scopus 로고    scopus 로고
    • Atypical functional brain connectivity during rest in autism spectrum disorders
    • Doyle-Thomas KA, Lee W, Foster NE, et al. Atypical functional brain connectivity during rest in autism spectrum disorders. Ann Neurol 2015;77:866–876.
    • (2015) Ann Neurol , vol.77 , pp. 866-876
    • Doyle-Thomas, K.A.1    Lee, W.2    Foster, N.E.3
  • 48
    • 84928482653 scopus 로고    scopus 로고
    • The autism puzzle: diffuse but not pervasive neuroanatomical abnormalities in children with ASD
    • Sussman D, Leung R, Vogan V, et al. The autism puzzle: diffuse but not pervasive neuroanatomical abnormalities in children with ASD. Neuroimage Clin 2015;8:170–179.
    • (2015) Neuroimage Clin , vol.8 , pp. 170-179
    • Sussman, D.1    Leung, R.2    Vogan, V.3
  • 49
    • 84864666011 scopus 로고    scopus 로고
    • Consensus paper: pathological role of the cerebellum in autism
    • Fatemi SH, Aldinger KA, Ashwood P, et al. Consensus paper: pathological role of the cerebellum in autism. Cerebellum 2012;11:777–807.
    • (2012) Cerebellum , vol.11 , pp. 777-807
    • Fatemi, S.H.1    Aldinger, K.A.2    Ashwood, P.3
  • 50
    • 84905495365 scopus 로고    scopus 로고
    • The cerebellum, sensitive periods, and autism
    • Wang SS-H, Kloth AD, Badura A. The cerebellum, sensitive periods, and autism. Neuron 2014;83:518–532.
    • (2014) Neuron , vol.83 , pp. 518-532
    • Wang, S.S.-H.1    Kloth, A.D.2    Badura, A.3
  • 51
    • 84902991741 scopus 로고    scopus 로고
    • Neuromagnetic vistas into typical and atypical development of frontal lobe functions
    • Taylor MJ, Doesburg SM, Pang EW. Neuromagnetic vistas into typical and atypical development of frontal lobe functions. Front Hum Neurosci 2014;8:453.
    • (2014) Front Hum Neurosci , vol.8 , pp. 453
    • Taylor, M.J.1    Doesburg, S.M.2    Pang, E.W.3
  • 52
    • 84907504676 scopus 로고    scopus 로고
    • Reduced beta band connectivity during number estimation in autism
    • Bangel KA, Batty M, Annette XY, et al. Reduced beta band connectivity during number estimation in autism. Neuroimage Clin 2014;6:202–213.
    • (2014) Neuroimage Clin , vol.6 , pp. 202-213
    • Bangel, K.A.1    Batty, M.2    Annette, X.Y.3
  • 53
    • 84989171969 scopus 로고    scopus 로고
    • Reduced beta connectivity during emotional face processing in adolescents with autism
    • Leung RC, Ye AX, Wong SM, et al. Reduced beta connectivity during emotional face processing in adolescents with autism. Mol Autism 2014;5:51.
    • (2014) Mol Autism , vol.5 , pp. 51
    • Leung, R.C.1    Ye, A.X.2    Wong, S.M.3
  • 54
    • 84936774287 scopus 로고    scopus 로고
    • Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures
    • Port RG, Anwar AR, Ku M, et al. Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures. Yale J Biol Med 2015;88:25–36.
    • (2015) Yale J Biol Med , vol.88 , pp. 25-36
    • Port, R.G.1    Anwar, A.R.2    Ku, M.3


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