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Volumn 7, Issue 8, 2012, Pages

Changes in community structure of resting state functional connectivity in unipolar depression

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE; ANALYSIS; ANALYTICAL PARAMETERS; ARTICLE; BOLD SIGNAL; BRAIN CORTEX; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENDER; HUMAN; MACHINE LEARNING; MAJOR DEPRESSION; MALE; NETWORK BASED ANALYSIS; NUCLEAR MAGNETIC RESONANCE SCANNER; PARTICIPATION INDEX; RADIOLOGICAL PARAMETERS; RESTING STATE FUNCTIONAL CONNECTIVITY; SUBCORTEX; SUPPORT VECTOR MACHINE;

EID: 84865159740     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0041282     Document Type: Article
Times cited : (143)

References (72)
  • 3
    • 34548152773 scopus 로고    scopus 로고
    • Is depression overdiagnosed? yes
    • Parker G, ((2007)) Is depression overdiagnosed? yes. BMJ 335:: 328--328.
    • (2007) BMJ , vol.335 , pp. 328
    • Parker, G.1
  • 4
    • 34548444248 scopus 로고    scopus 로고
    • Is depression overdiagnosed?
    • Hickie I, ((2007)) Is depression overdiagnosed? no. BMJ 335:: 329--329.
    • (2007) BMJ , vol.335 , pp. 329
    • Hickie, I.1
  • 6
    • 9744281154 scopus 로고    scopus 로고
    • The hamilton depression rating scale: Has the gold standard become a lead weight?
    • Bagby M, Ryder AG, Schuller DR, Marshall MB, ((2004)) The hamilton depression rating scale: Has the gold standard become a lead weight? Am J Psychiatry 161:: 2163--2177.
    • (2004) Am J Psychiatry , vol.161 , pp. 2163-2177
    • Bagby, M.1    Ryder, A.G.2    Schuller, D.R.3    Marshall, M.B.4
  • 8
    • 0035312686 scopus 로고    scopus 로고
    • Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders
    • Drevets WC, ((2001)) Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders. Current Opinion in Neurobiology 11:: 240--249.
    • (2001) Current Opinion in Neurobiology , vol.11 , pp. 240-249
    • Drevets, W.C.1
  • 9
    • 34249938498 scopus 로고    scopus 로고
    • Increased left prefrontal activation in patients with unipolar depression: An event-related, parametric, performance-controlled fmri study
    • Walter H, Wolf RC, Spitzer M, Vasic N, ((2007)) Increased left prefrontal activation in patients with unipolar depression: An event-related, parametric, performance-controlled fmri study. Journal of Affective Disorders 101:: 175--185.
    • (2007) Journal of Affective Disorders , vol.101 , pp. 175-185
    • Walter, H.1    Wolf, R.C.2    Spitzer, M.3    Vasic, N.4
  • 10
    • 42049093582 scopus 로고    scopus 로고
    • An fmri study of prefrontal brain activation during multiple tasks in patients with major depressive disorder
    • Fitzgerald PB, Srithiran A, Benitez J, Daskalakis ZZ, Oxley TJ, et al. ((2008)) An fmri study of prefrontal brain activation during multiple tasks in patients with major depressive disorder. Hum Brain Mapp 29:: 490--501.
    • (2008) Hum Brain Mapp , vol.29 , pp. 490-501
    • Fitzgerald, P.B.1    Srithiran, A.2    Benitez, J.3    Daskalakis, Z.Z.4    Oxley, T.J.5
  • 11
    • 39749127184 scopus 로고    scopus 로고
    • Neural correlates of affective processing in response to sad and angry facial stimuli in patients with major depressive disorder
    • Lee BT, Seok JH, Lee BC, Cho SW, Yoon BJ, et al. ((2008)) Neural correlates of affective processing in response to sad and angry facial stimuli in patients with major depressive disorder. Progress In Neuro-psychopharmacology & Biological Psychiatry 32:: 778--785.
    • (2008) Progress In Neuro-Psychopharmacology & Biological Psychiatry , vol.32 , pp. 778-785
    • Lee, B.T.1    Seok, J.H.2    Lee, B.C.3    Cho, S.W.4    Yoon, B.J.5
  • 13
    • 34548039062 scopus 로고    scopus 로고
    • Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulated cortex and thalamus
    • Greicius MD, Flores BH, Menon V, Glover GH, Solvason HB, et al. ((2007)) Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulated cortex and thalamus. Biological Psychiatry 62:: 429--437.
    • (2007) Biological Psychiatry , vol.62 , pp. 429-437
    • Greicius, M.D.1    Flores, B.H.2    Menon, V.3    Glover, G.H.4    Solvason, H.B.5
  • 14
    • 52049121840 scopus 로고    scopus 로고
    • Resting-state functional connectivity in neuropsychiatric disorders
    • Greicius M, ((2008)) Resting-state functional connectivity in neuropsychiatric disorders. Current opinion in neurology 21:: 424--430.
    • (2008) Current Opinion in Neurology , vol.21 , pp. 424-430
    • Greicius, M.1
  • 16
    • 70450184942 scopus 로고    scopus 로고
    • Resting state defaultmode network connectivity in early depression using a seed region-of-interest analysis: Decreased connectivity with caudate nucleus
    • Bluhm R, Williamson P, Lanius R, Thberge J, Densmore M, et al. ((2009)) Resting state defaultmode network connectivity in early depression using a seed region-of-interest analysis: Decreased connectivity with caudate nucleus. Psychiatry and Clinical Neurosciences 63:: 754--761.
    • (2009) Psychiatry and Clinical Neurosciences , vol.63 , pp. 754-761
    • Bluhm, R.1    Williamson, P.2    Lanius, R.3    Thberge, J.4    Densmore, M.5
  • 17
    • 80051721063 scopus 로고    scopus 로고
    • Networks, noise and models: Reconceptualizing the brain as a complex, distributed system
    • Breakspear M, McIntosh AR, ((2011)) Networks, noise and models: Reconceptualizing the brain as a complex, distributed system. Neuroimage 58:: 293--295.
    • (2011) Neuroimage , vol.58 , pp. 293-295
    • Breakspear, M.1    McIntosh, A.R.2
  • 19
    • 84860631276 scopus 로고    scopus 로고
    • Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis
    • Zeng LL, Shen H, Liu L, Wang L, Li B, et al. ((2012)) Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain.
    • (2012) Brain
    • Zeng, L.L.1    Shen, H.2    Liu, L.3    Wang, L.4    Li, B.5
  • 21
    • 18144363240 scopus 로고    scopus 로고
    • Activity and connectivity of brain mood regulating circuit in depression: A functional magnetic resonance study
    • Anand A, Li Y, Wang Y, Wu J, Gao S, et al. ((2005)) Activity and connectivity of brain mood regulating circuit in depression: A functional magnetic resonance study. Biol Psychiatry 57:: 1079--1088.
    • (2005) Biol Psychiatry , vol.57 , pp. 1079-1088
    • Anand, A.1    Li, Y.2    Wang, Y.3    Wu, J.4    Gao, S.5
  • 22
    • 61349175176 scopus 로고    scopus 로고
    • Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression
    • Anand A, Li Y, Wang Y, Lowe MJ, Dzemidzic M, ((2009)) Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression. Psychiatry research 171:: 189--198.
    • (2009) Psychiatry Research , vol.171 , pp. 189-198
    • Anand, A.1    Li, Y.2    Wang, Y.3    Lowe, M.J.4    Dzemidzic, M.5
  • 25
    • 74449093374 scopus 로고    scopus 로고
    • Increased neural resources recruitment in the intrinsic organization in major depression
    • Zhou Y, Yu C, Zheng H, Liu Y, Song M, et al. ((2010)) Increased neural resources recruitment in the intrinsic organization in major depression. Journal of affective disorders 121:: 220--230.
    • (2010) Journal of Affective Disorders , vol.121 , pp. 220-230
    • Zhou, Y.1    Yu, C.2    Zheng, H.3    Liu, Y.4    Song, M.5
  • 27
    • 77349095673 scopus 로고    scopus 로고
    • Whole-brain anatomical networks: does the choice of nodes matter?
    • Zalesky A, Fornito A, Harding IH, Cocchi L, Yücel M, et al. ((2010)) Whole-brain anatomical networks: does the choice of nodes matter? Neuro Image 50:: 970--983.
    • (2010) Neuro Image , vol.50 , pp. 970-983
    • Zalesky, A.1    Fornito, A.2    Harding, I.H.3    Cocchi, L.4    Yücel, M.5
  • 28
    • 4444229670 scopus 로고    scopus 로고
    • The small world of the cerebral cortex rid a-1667-2010
    • Sporns O, Zwi JD, ((2004)) The small world of the cerebral cortex rid a-1667-2010. Neuroinformatics 2:: 145--162.
    • (2004) Neuroinformatics , vol.2 , pp. 145-162
    • Sporns, O.1    Zwi, J.D.2
  • 29
    • 33845742477 scopus 로고    scopus 로고
    • Small-world networks and functional connectivity in alzheimer's disease
    • Stam C, Jones B, Nolte G, Breakspear M, Scheltens P, ((2007)) Small-world networks and functional connectivity in alzheimer's disease. Cerebral Cortex 17:: 92--99.
    • (2007) Cerebral Cortex , vol.17 , pp. 92-99
    • Stam, C.1    Jones, B.2    Nolte, G.3    Breakspear, M.4    Scheltens, P.5
  • 30
    • 70449440640 scopus 로고    scopus 로고
    • An fmri study of the effects of psychostimulants on default-mode processing during stroop task performance in youths with adhd
    • Peterson BS, Potenza MN, Wang Z, Zhu H, Martin A, et al. ((2009)) An fmri study of the effects of psychostimulants on default-mode processing during stroop task performance in youths with adhd. Am J Psychiatry 166:: 1286--1294.
    • (2009) Am J Psychiatry , vol.166 , pp. 1286-1294
    • Peterson, B.S.1    Potenza, M.N.2    Wang, Z.3    Zhu, H.4    Martin, A.5
  • 31
    • 64049105145 scopus 로고    scopus 로고
    • Investigation of relationships between fmri brain networks in the spectral domain using ica and granger causality reveals distinct differences between schizophrenia patients and healthy controls
    • Demirci O, Stevens MC, Andreasen NC, Michael A, Liu J, et al. ((2009)) Investigation of relationships between fmri brain networks in the spectral domain using ica and granger causality reveals distinct differences between schizophrenia patients and healthy controls. Neuro Image 46:: 419--431.
    • (2009) Neuro Image , vol.46 , pp. 419-431
    • Demirci, O.1    Stevens, M.C.2    Andreasen, N.C.3    Michael, A.4    Liu, J.5
  • 32
    • 58949097846 scopus 로고    scopus 로고
    • Small-world properties of nonlinear brain activity in schizophrenia
    • Rubinov M, ((2007)) Small-world properties of nonlinear brain activity in schizophrenia. Hum Brain Mapp.
    • (2007) Hum Brain Mapp
    • Rubinov, M.1
  • 33
    • 79960771353 scopus 로고    scopus 로고
    • Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder
    • Zhang J, Wang J, Wu Q, Kuang W, Huang X, et al. ((2011)) Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biological Psychiatry 70:: 334--342.
    • (2011) Biological Psychiatry , vol.70 , pp. 334-342
    • Zhang, J.1    Wang, J.2    Wu, Q.3    Kuang, W.4    Huang, X.5
  • 34
    • 77957324650 scopus 로고    scopus 로고
    • Network-based statistic: Identifying differences in brain networks
    • Zalesky A, Fornito A, Bullmore ET, ((2010)) Network-based statistic: Identifying differences in brain networks. Neuro Image 53:: 1197--1207.
    • (2010) Neuro Image , vol.53 , pp. 1197-1207
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.T.3
  • 35
    • 77950588524 scopus 로고    scopus 로고
    • High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables
    • Wang Y, Fan Y, Bhatt P, Davatzikos C, ((2010)) High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables. Neuro Image 50:: 1519--1535.
    • (2010) Neuro Image , vol.50 , pp. 1519-1535
    • Wang, Y.1    Fan, Y.2    Bhatt, P.3    Davatzikos, C.4
  • 36
    • 67650457029 scopus 로고    scopus 로고
    • Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
    • Koutsouleris N, Meisenzahl EM, Davatzikos C, Bottlender R, Frodl T, et al. ((2009)) Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Archives of General Psychiatry 66:: 700--712.
    • (2009) Archives of General Psychiatry , vol.66 , pp. 700-712
    • Koutsouleris, N.1    Meisenzahl, E.M.2    Davatzikos, C.3    Bottlender, R.4    Frodl, T.5
  • 37
    • 73149109077 scopus 로고    scopus 로고
    • Disease state prediction from resting state functional connectivity
    • Craddock RC, Holtzheimer PE, Hu XP, Mayberg HS, ((2009)) Disease state prediction from resting state functional connectivity. Magn Reson Med 62:: 1619--1628.
    • (2009) Magn Reson Med , vol.62 , pp. 1619-1628
    • Craddock, R.C.1    Holtzheimer, P.E.2    Hu, X.P.3    Mayberg, H.S.4
  • 39
    • 65349088487 scopus 로고    scopus 로고
    • Uncovering intrinsic modular organization of spontaneous brain activity in humans
    • He Y, Wang J, Wang L, Chen ZJ, Yan C, et al. ((2009)) Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS ONE 4:: e5226.
    • (2009) PLoS ONE , vol.4
    • He, Y.1    Wang, J.2    Wang, L.3    Chen, Z.J.4    Yan, C.5
  • 41
    • 0032421570 scopus 로고    scopus 로고
    • The mini-international neuropsychiatric interview (m.i.n.i.): the development and validation of a structured diagnostic psychiatric interview for dsm-iv and icd-10
    • quiz 34-57
    • Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, et al. ((1998)) The mini-international neuropsychiatric interview (m.i.n.i.): the development and validation of a structured diagnostic psychiatric interview for dsm-iv and icd-10. The Journal of clinical psychiatry 59 Suppl 20:: 22--33;quiz 34-57.
    • (1998) The Journal of Clinical Psychiatry , vol.59 , Issue.SUPPL. 20 , pp. 22-33
    • Sheehan, D.V.1    Lecrubier, Y.2    Sheehan, K.H.3    Amorim, P.4    Janavs, J.5
  • 42
    • 0028190347 scopus 로고
    • Functional and effective connectivity in neuroimaging: a synthesis
    • Friston KJ, ((1994)) Functional and effective connectivity in neuroimaging: a synthesis. Human brain mapping 2:: 56--78.
    • (1994) Human Brain Mapping , vol.2 , pp. 56-78
    • Friston, K.J.1
  • 43
    • 85019241717 scopus 로고    scopus 로고
    • Dparsf: a matlab toolbox for "pipeline" data analysis of resting-state fmri
    • Yan CG, Zang YF, ((2010)) Dparsf: a matlab toolbox for "pipeline" data analysis of resting-state fmri. Frontiers in Systems Neuroscience 4:: 13.
    • (2010) Frontiers in Systems Neuroscience , vol.4 , pp. 13
    • Yan, C.G.1    Zang, Y.F.2
  • 44
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mnimri single-subject brain
    • Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, et al. ((2002)) Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mnimri single-subject brain. Neuro Image 15:: 273--289.
    • (2002) Neuro Image , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3    Crivello, F.4    Etard, O.5
  • 45
    • 21744441688 scopus 로고    scopus 로고
    • Pain and emotion interactions in subregions of the cingulate gyrus
    • Vogt BA, ((2005)) Pain and emotion interactions in subregions of the cingulate gyrus. Nature Reviews Neuroscience 6:: 533--544.
    • (2005) Nature Reviews Neuroscience , vol.6 , pp. 533-544
    • Vogt, B.A.1
  • 46
    • 67650445633 scopus 로고    scopus 로고
    • Receptor architecture of human cingulate cortex: Evaluation of the four-region neurobiological model
    • Palomero-Gallagher N, Vogt BA, Schleicher A, Mayberg HS, Zilles K, ((2009)) Receptor architecture of human cingulate cortex: Evaluation of the four-region neurobiological model. Human Brain Mapping 30:: 2336--2355.
    • (2009) Human Brain Mapping , vol.30 , pp. 2336-2355
    • Palomero-Gallagher, N.1    Vogt, B.A.2    Schleicher, A.3    Mayberg, H.S.4    Zilles, K.5
  • 47
    • 59649084668 scopus 로고    scopus 로고
    • Connectivity-based parcellation of human cingulate cortex and its relation to functional specialization
    • Beckmann M, Johansen-Berg H, Rushworth MFS, ((2009)) Connectivity-based parcellation of human cingulate cortex and its relation to functional specialization. JOURNAL OF NEUROSCIENCE 29:: 1175--1190.
    • (2009) JOURNAL OF NEUROSCIENCE , vol.29 , pp. 1175-1190
    • Beckmann, M.1    Johansen-Berg, H.2    Rushworth, M.F.S.3
  • 48
    • 85028093778 scopus 로고    scopus 로고
    • A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis rid b-4725-2010
    • Kurth F, Zilles K, Fox PT, Laird AR, Eickhoff SB, ((2010)) A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis rid b-4725-2010. Brain Structure & Function 214:: 519--534.
    • (2010) Brain Structure & Function , vol.214 , pp. 519-534
    • Kurth, F.1    Zilles, K.2    Fox, P.T.3    Laird, A.R.4    Eickhoff, S.B.5
  • 49
    • 18144431880 scopus 로고    scopus 로고
    • Neurophysiological architecture of functional magnetic resonance images of human brain
    • Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, et al. ((2005)) Neurophysiological architecture of functional magnetic resonance images of human brain. Cerebral Cortex 15:: 1332--1342.
    • (2005) Cerebral Cortex , vol.15 , pp. 1332-1342
    • Salvador, R.1    Suckling, J.2    Coleman, M.R.3    Pickard, J.D.4    Menon, D.5
  • 50
    • 0017713690 scopus 로고
    • Dynamics of pattern formation in lateral-inhibition type neural fields
    • Amari Si, ((1977)) Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 27:: 77--87.
    • (1977) Biological Cybernetics , vol.27 , pp. 77-87
    • Amari, S.1
  • 51
  • 52
    • 35348957264 scopus 로고    scopus 로고
    • Efficient behavior of small-world networks
    • Latora V, Marchiori M, ((2001)) Efficient behavior of small-world networks. Phys Rev Lett 87:: 198701.
    • (2001) Phys Rev Lett , vol.87 , pp. 198701
    • Latora, V.1    Marchiori, M.2
  • 53
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: Uses and interpretations
    • Rubinov M, Sporns O, ((2010)) Complex network measures of brain connectivity: Uses and interpretations. Neuro Image 52:: 1059--1069.
    • (2010) Neuro Image , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 54
    • 0041530047 scopus 로고    scopus 로고
    • Resampling-based multiple testing for microarray data analysis
    • Ge Y, Dudoit S, Speed T, ((2003)) Resampling-based multiple testing for microarray data analysis. TEST 12:: 1--77.
    • (2003) TEST , vol.12 , pp. 1-77
    • Ge, Y.1    Dudoit, S.2    Speed, T.3
  • 56
    • 84878102493 scopus 로고    scopus 로고
    • Dimitriadou E, Hornik K, Leisch F, Meyer D, et al. (2010) e1071: Misc Functions of the Department of Statistics (e1071), TU Wien. URL http://CRAN.R-project.org/package=e1071, accessed July 2012. R package version 1.5-24.
  • 57
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of maxdependency, max-relevance, and min-redundancy
    • Peng H, Long F, Ding C, ((2005)) Feature selection based on mutual information: Criteria of maxdependency, max-relevance, and min-redundancy. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 27:: 1226--1238.
    • (2005) IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 58
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V, ((2002)) Gene selection for cancer classification using support vector machines. Machine Learning 46:: 389--422-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 60
    • 58149184695 scopus 로고    scopus 로고
    • Revealing modular architecture of human brain structural networks by using cortical thickness from mri
    • Chen ZJ, He Y, Rosa-Neto P, Germann J, Evans AC, ((2008)) Revealing modular architecture of human brain structural networks by using cortical thickness from mri. Cerebral Cortex 18:: 2374--2381.
    • (2008) Cerebral Cortex , vol.18 , pp. 2374-2381
    • Chen, Z.J.1    He, Y.2    Rosa-Neto, P.3    Germann, J.4    Evans, A.C.5
  • 61
    • 79953669487 scopus 로고    scopus 로고
    • Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia
    • Alexander-Bloch AF, Gogtay N, Meunier D, Birn R, Clasen L, et al. ((2010)) Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia. Front Syst Neurosci 4:: 147.
    • (2010) Front Syst Neurosci , vol.4 , pp. 147
    • Alexander-Bloch, A.F.1    Gogtay, N.2    Meunier, D.3    Birn, R.4    Clasen, L.5
  • 63
    • 67049122306 scopus 로고    scopus 로고
    • Functionally linked restingstate networks reflect the underlying structural connectivity architecture of the human brain
    • van den Heuvel MP, Mandl RCW, Kahn RS, Hulshoff Pol HE, ((2009)) Functionally linked restingstate networks reflect the underlying structural connectivity architecture of the human brain. Human brain mapping 30:: 3127--3141.
    • (2009) Human Brain Mapping , vol.30 , pp. 3127-3141
    • van den Heuvel, M.P.1    Mandl, R.C.W.2    Kahn, R.S.3    Hulshoff Pol, H.E.4
  • 64
    • 54149095921 scopus 로고    scopus 로고
    • Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain
    • van den Heuvel M, Stam C, Boersma M, Pol HH, ((2008)) Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. Neuro Image 43:: 528--539.
    • (2008) Neuro Image , vol.43 , pp. 528-539
    • van den Heuvel, M.1    Stam, C.2    Boersma, M.3    Pol, H.H.4
  • 65
    • 79955471784 scopus 로고    scopus 로고
    • Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity
    • Ferrarini L, Veer IM, van Lew B, Oei NY, van Buchem MA, et al. ((2011)) Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity. Neuro Image 56:: 1453--1462.
    • (2011) Neuro Image , vol.56 , pp. 1453-1462
    • Ferrarini, L.1    Veer, I.M.2    van Lew, B.3    Oei, N.Y.4    van Buchem, M.A.5
  • 67
    • 57649158932 scopus 로고    scopus 로고
    • The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?
    • Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA, ((2009)) The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuro Image 44:: 893--905.
    • (2009) Neuro Image , vol.44 , pp. 893-905
    • Murphy, K.1    Birn, R.M.2    Handwerker, D.A.3    Jones, T.B.4    Bandettini, P.A.5
  • 68
    • 34547219105 scopus 로고    scopus 로고
    • Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    • Honey CJ, Kotter R, Breakspear M, Sporns O, ((2007)) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA 104:: 10240--10245.
    • (2007) Proc Natl Acad Sci USA , vol.104 , pp. 10240-10245
    • Honey, C.J.1    Kotter, R.2    Breakspear, M.3    Sporns, O.4
  • 70
    • 83055172827 scopus 로고    scopus 로고
    • Anticorrelations in resting state networks without global signal regression
    • Chai XJ, Castan AN, ngr D, Whitfield-Gabrieli S, ((2012)) Anticorrelations in resting state networks without global signal regression. Neuro Image 59:: 1420--1428.
    • (2012) Neuro Image , vol.59 , pp. 1420-1428
    • Chai, X.J.1    Castan, A.N.2    Ngr, D.3    Whitfield-Gabrieli, S.4
  • 71
    • 81155162516 scopus 로고    scopus 로고
    • The influence of head motion on intrinsic functional connectivity mri
    • Dijk KRV, Sabuncu MR, Buckner RL, ((2012)) The influence of head motion on intrinsic functional connectivity mri. Neuro Image 59:: 431--438.
    • (2012) Neuro Image , vol.59 , pp. 431-438
    • Dijk, K.R.V.1    Sabuncu, M.R.2    Buckner, R.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.