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Volumn 6, Issue , 2017, Pages

The heritability of multi-modal connectivity in human brain activity

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HERITABILITY; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL MODEL; NORMAL HUMAN; ANATOMY AND HISTOLOGY; BRAIN; CONNECTOME; FEMALE; HEREDITY; MALE; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; TWINS; YOUNG ADULT;

EID: 85030649292     PISSN: None     EISSN: 2050084X     Source Type: Journal    
DOI: 10.7554/eLife.20178     Document Type: Article
Times cited : (98)

References (87)
  • 2
    • 84877605991 scopus 로고    scopus 로고
    • Classification of covariance matrices using a Riemannian-based kernel for BCI applications
    • Barachant A, Bonnet S, Congedo M, Jutten C. 2013. Classification of covariance matrices using a Riemannian-based kernel for BCI applications. Neurocomputing 112:172-178. DOI: https://doi.org/10.1016/j.neucom.2012.
    • (2013) Neurocomputing , vol.112 , pp. 172-178
    • Barachant, A.1    Bonnet, S.2    Congedo, M.3    Jutten, C.4
  • 3
    • 84955240710 scopus 로고    scopus 로고
    • Electrophysiological measures of resting state functional connectivity and their relationship with working memory capacity in childhood
    • Barnes JJ, Woolrich MW, Baker K, Colclough GL, Astle DE. 2016. Electrophysiological measures of resting state functional connectivity and their relationship with working memory capacity in childhood. Developmental Science 19:19-31. DOI: https://doi.org/10.1111/desc.12297
    • (2016) Developmental Science , vol.19 , pp. 19-31
    • Barnes, J.J.1    Woolrich, M.W.2    Baker, K.3    Colclough, G.L.4    Astle, D.E.5
  • 4
    • 0036638035 scopus 로고    scopus 로고
    • Genetic and environmental influences on the development of intelligence
    • Bartels M, Rietveld MJ, Van Baal GC, Boomsma DI. 2002. Genetic and environmental influences on the development of intelligence. Behavior Genetics 32:237-249. DOI: https://doi.org/10.1023/A:101977262
    • (2002) Behavior Genetics , vol.32 , pp. 237-249
    • Bartels, M.1    Rietveld, M.J.2    Van Baal, G.C.3    Boomsma, D.I.4
  • 6
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B 57:289-300. DOI: https://doi.org/10.2307/2346101
    • (1995) Journal of the Royal Statistical Society. Series B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 10
    • 84866169453 scopus 로고    scopus 로고
    • Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage
    • Brookes MJ, Woolrich MW, Barnes GR. 2012. Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage. NeuroImage 63:910-920. DOI: https://doi.org/10.1016/j.neuroimage.2012.03.048
    • (2012) Neuroimage , vol.63 , pp. 910-920
    • Brookes, M.J.1    Woolrich, M.W.2    Barnes, G.R.3
  • 11
    • 84896715198 scopus 로고    scopus 로고
    • Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations
    • Cabral J, Luckhoo H, Woolrich M, Joensson M, Mohseni H, Baker A, Kringelbach ML, Deco G. 2014. Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. NeuroImage 90:423-435. DOI: https://doi. org/10.1016/j.neuroimage.2013.11.047
    • (2014) Neuroimage , vol.90 , pp. 423-435
    • Cabral, J.1    Luckhoo, H.2    Woolrich, M.3    Joensson, M.4    Mohseni, H.5    Baker, A.6    Kringelbach, M.L.7    Deco, G.8
  • 13
    • 84930687423 scopus 로고    scopus 로고
    • The Effects of Exposure to Better Neighborhoods on Children: New Evidence From the Moving to Opportunity Experiment
    • Chetty R, Hendren N, Katz LF. 2015. The Effects of Exposure to Better Neighborhoods on Children: New Evidence From the Moving to Opportunity Experiment. National Bureau of Economic Research. DOI: https:// doi.org/10.3386/w21156
    • (2015) National Bureau of Economic Research
    • Chetty, R.1    Hendren, N.2    Katz, L.F.3
  • 14
    • 84933060053 scopus 로고    scopus 로고
    • A symmetric multivariate leakage correction for MEG connectomes
    • Colclough GL, Brookes MJ, Smith SM, Woolrich MW. 2015. A symmetric multivariate leakage correction for MEG connectomes. NeuroImage 117:439-448. DOI: https://doi.org/10.1016/j.neuroimage.2015.03.071
    • (2015) Neuroimage , vol.117 , pp. 439-448
    • Colclough, G.L.1    Brookes, M.J.2    Smith, S.M.3    Woolrich, M.W.4
  • 16
    • 84883489801 scopus 로고    scopus 로고
    • Heritability and the equal environments assumption: Evidence from multiple samples of misclassified twins
    • Conley D, Rauscher E, Dawes C, Magnusson PK, Siegal ML. 2013. Heritability and the equal environments assumption: evidence from multiple samples of misclassified twins. Behavior Genetics 43:415-426. DOI: https:// doi.org/10.1007/s10519-013-9602-1
    • (2013) Behavior Genetics , vol.43 , pp. 415-426
    • Conley, D.1    Rauscher, E.2    Dawes, C.3    Magnusson, P.K.4    Siegal, M.L.5
  • 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, Marzetti L, Pizzella V, Romani GL, Corbetta M. 2012. A cortical core for dynamic integration of functional networks in the resting human brain. Neuron 74:753-764. DOI: https://doi.org/10.1016/j.neuron.2012.03.031
    • (2012) Neuron , vol.74 , pp. 753-764
    • De Pasquale, F.1    Della Penna, S.2    Snyder, A.Z.3    Marzetti, L.4    Pizzella, V.5    Romani, G.L.6    Corbetta, M.7
  • 19
    • 84991396071 scopus 로고    scopus 로고
    • A Dynamic Core Network and Global Efficiency in the Resting Human Brain
    • de Pasquale F, Della Penna S, Sporns O, Romani GL, Corbetta M. 2016. A Dynamic Core Network and Global Efficiency in the Resting Human Brain. Cerebral Cortex 26:4015-4033. DOI: https://doi.org/10.1093/cercor/ bhv185
    • (2016) Cerebral Cortex , vol.26 , pp. 4015-4033
    • De Pasquale, F.1    Della Penna, S.2    Sporns, O.3    Romani, G.L.4    Corbetta, M.5
  • 20
    • 50949089019 scopus 로고    scopus 로고
    • The dynamic brain: From spiking neurons to neural masses and cortical fields
    • Deco G, Jirsa VK, Robinson PA, Breakspear M, Friston K. 2008. The dynamic brain: from spiking neurons to neural masses and cortical fields. PLoS Computational Biology 4:e1000092. DOI: https://doi.org/10.1371/ journal.pcbi.1000092
    • (2008) Plos Computational Biology , vol.4
    • Deco, G.1    Jirsa, V.K.2    Robinson, P.A.3    Breakspear, M.4    Friston, K.5
  • 21
    • 84897606134 scopus 로고    scopus 로고
    • Functional brain connectivity using fMRI in aging and Alzheimer’s disease
    • Dennis EL, Thompson PM. 2014. Functional brain connectivity using fMRI in aging and Alzheimer’s disease. Neuropsychology Review 24:49-62. DOI: https://doi.org/10.1007/s11065-014-9249-6
    • (2014) Neuropsychology Review , vol.24 , pp. 49-62
    • Dennis, E.L.1    Thompson, P.M.2
  • 22
    • 84888022527 scopus 로고    scopus 로고
    • Intrinsic coupling modes: Multiscale interactions in ongoing brain activity
    • Engel AK, Gerloff C, Hilgetag CC, Nolte G. 2013. Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron 80:867-886. DOI: https://doi.org/10.1016/j.neuron.2013.09.038
    • (2013) Neuron , vol.80 , pp. 867-886
    • Engel, A.K.1    Gerloff, C.2    Hilgetag, C.C.3    Nolte, G.4
  • 23
    • 85030644148 scopus 로고    scopus 로고
    • Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes
    • 097774
    • Farahibozorg S, Henson RN, Hauk O. 2017. Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes. BioRxiv. 097774.
    • (2017) Biorxiv
    • Farahibozorg, S.1    Henson, R.N.2    Hauk, O.3
  • 24
    • 84887347012 scopus 로고    scopus 로고
    • What can we learn from twin studies? A comprehensive evaluation of the equal environments assumption
    • Felson J. 2014. What can we learn from twin studies? A comprehensive evaluation of the equal environments assumption. Social Science Research 43:184-199. DOI: https://doi.org/10.1016/j.ssresearch.2013.10.004
    • (2014) Social Science Research , vol.43 , pp. 184-199
    • Felson, J.1
  • 26
    • 81355137473 scopus 로고    scopus 로고
    • Functional and effective connectivity: A review
    • Friston KJ. 2011. Functional and effective connectivity: a review. Brain Connectivity 1:13-36. DOI: https://doi. org/10.1089/brain.2011.0008
    • (2011) Brain Connectivity , vol.1 , pp. 13-36
    • Friston, K.J.1
  • 29
    • 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. DOI: https://doi.org/10.1097/WCO.0b013e328306f2c5
    • (2008) Current Opinion in Neurology , vol.21 , pp. 424-430
    • Greicius, M.1
  • 30
    • 84948672557 scopus 로고    scopus 로고
    • Relaxed genetic control of cortical organization in human brains compared with chimpanzees
    • Gómez-Robles A, Hopkins WD, Schapiro SJ, Sherwood CC. 2015. Relaxed genetic control of cortical organization in human brains compared with chimpanzees. PNAS 112:14799-14804. DOI: https://doi.org/10. 1073/pnas.1512646112
    • (2015) PNAS , vol.112 , pp. 14799-14804
    • Gómez-Robles, A.1    Hopkins, W.D.2    Schapiro, S.J.3    Sherwood, C.C.4
  • 32
    • 84855883044 scopus 로고    scopus 로고
    • Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution
    • Hillebrand A, Barnes GR, Bosboom JL, Berendse HW, Stam CJ. 2012. Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution. NeuroImage 59:3909-3921. DOI: https://doi.org/10.1016/j.neuroimage.2011.11.005
    • (2012) Neuroimage , vol.59 , pp. 3909-3921
    • Hillebrand, A.1    Barnes, G.R.2    Bosboom, J.L.3    Berendse, H.W.4    Stam, C.J.5
  • 34
    • 84861574104 scopus 로고    scopus 로고
    • Large-scale cortical correlation structure of spontaneous oscillatory activity
    • Hipp JF, Hawellek DJ, Corbetta M, Siegel M, Engel AK. 2012. Large-scale cortical correlation structure of spontaneous oscillatory activity. Nature Neuroscience 15:884-890. DOI: https://doi.org/10.1038/nn.3101
    • (2012) Nature Neuroscience , vol.15 , pp. 884-890
    • Hipp, J.F.1    Hawellek, D.J.2    Corbetta, M.3    Siegel, M.4    Engel, A.K.5
  • 37
    • 84939989185 scopus 로고    scopus 로고
    • What twin studies tell us about the heritability of brain development, morphology, and function: A review
    • Jansen AG, Mous SE, White T, Posthuma D, Polderman TJ. 2015. What twin studies tell us about the heritability of brain development, morphology, and function: a review. Neuropsychology Review 25:27-46. DOI: https://doi.org/10.1007/s11065-015-9278-9
    • (2015) Neuropsychology Review , vol.25 , pp. 27-46
    • Jansen, A.G.1    Mous, S.E.2    White, T.3    Posthuma, D.4    Polderman, T.J.5
  • 38
    • 0032434129 scopus 로고    scopus 로고
    • The equal environment assumption of the classical twin method: A critical analysis
    • Joseph J. 1998. The equal environment assumption of the classical twin method: a critical analysis. Journal of Mind and Behaviour 19:325-258.
    • (1998) Journal of Mind and Behaviour , vol.19 , pp. 258-325
    • Joseph, J.1
  • 40
    • 84861762655 scopus 로고    scopus 로고
    • Inferring task-related networks using independent component analysis in magnetoencephalography
    • Luckhoo H, Hale JR, Stokes MG, Nobre AC, Morris PG, Brookes MJ, Woolrich MW. 2012. Inferring task-related networks using independent component analysis in magnetoencephalography. NeuroImage 62:530-541. DOI: https://doi.org/10.1016/j.neuroimage.2012.04.046
    • (2012) Neuroimage , vol.62 , pp. 530-541
    • Luckhoo, H.1    Hale, J.R.2    Stokes, M.G.3    Nobre, A.C.4    Morris, P.G.5    Brookes, M.J.6    Woolrich, M.W.7
  • 42
    • 34548797958 scopus 로고    scopus 로고
    • Electrophysiological signatures of resting state networks in the human brain
    • Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M. 2007. Electrophysiological signatures of resting state networks in the human brain. PNAS 104:13170-13175. DOI: https://doi.org/10.1073/pnas.0700668104
    • (2007) PNAS , vol.104 , pp. 13170-13175
    • Mantini, D.1    Perrucci, M.G.2    Del Gratta, C.3    Romani, G.L.4    Corbetta, M.5
  • 43
    • 33748653805 scopus 로고    scopus 로고
    • Partial correlation for functional brain interactivity investigation in functional MRI
    • Marrelec G, Krainik A, Duffau H, Pélégrini-Issac M, Lehéricy S, Doyon J, Benali H. 2006. Partial correlation for functional brain interactivity investigation in functional MRI. NeuroImage 32:228-237. DOI: https://doi.org/10. 1016/j.neuroimage.2005.12.057
    • (2006) Neuroimage , vol.32 , pp. 228-237
    • Marrelec, G.1    Krainik, A.2    Duffau, H.3    Pélégrini-Issac, M.4    Lehéricy, S.5    Doyon, J.6    Benali, H.7
  • 44
    • 84878118796 scopus 로고    scopus 로고
    • Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure
    • Marzetti L, Della Penna S, Snyder AZ, Pizzella V, Nolte G, de Pasquale F, Romani GL, Corbetta M. 2013.Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure. NeuroImage 79:172-183. DOI: https://doi.org/10.1016/j.neuroimage. 2013.04.062
    • (2013) Neuroimage , vol.79 , pp. 172-183
    • Marzetti, L.1    Della Penna, S.2    Snyder, A.Z.3    Pizzella, V.4    Nolte, G.5    De Pasquale, F.6    Romani, G.L.7    Corbetta, M.8
  • 45
    • 84933676347 scopus 로고    scopus 로고
    • High-frequency brain activity and muscle artifacts in MEG/EEG: A review and recommendations
    • Muthukumaraswamy SD. 2013. High-frequency brain activity and muscle artifacts in MEG/EEG: A review and recommendations. Frontiers in Human Neuroscience 7:1-11. DOI: https://doi.org/10.3389/fnhum.2013.00138
    • (2013) Frontiers in Human Neuroscience , vol.7 , pp. 1-11
    • Muthukumaraswamy, S.D.1
  • 49
    • 84946067009 scopus 로고    scopus 로고
    • Measuring electrophysiological connectivity by power envelope correlation: A technical review on MEG methods
    • O’Neill GC, Barratt EL, Hunt BA, Tewarie PK, Brookes MJ. 2015. Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods. Physics in Medicine and Biology 60:R271-R295. DOI: https://doi.org/10.1088/0031-9155/60/21/R271
    • (2015) Physics in Medicine and Biology , vol.60 , pp. R271-R295
    • O’Neill, G.C.1    Barratt, E.L.2    Hunt, B.A.3    Tewarie, P.K.4    Brookes, M.J.5
  • 52
    • 27744495425 scopus 로고    scopus 로고
    • Genetic components of functional connectivity in the brain: The heritability of synchronization likelihood
    • Posthuma D, de Geus EJ, Mulder EJ, Smit DJ, Boomsma DI, Stam CJ. 2005. Genetic components of functional connectivity in the brain: the heritability of synchronization likelihood. Human Brain Mapping 26:191-198. DOI: https://doi.org/10.1002/hbm.20156
    • (2005) Human Brain Mapping , vol.26 , pp. 191-198
    • Posthuma, D.1    De Geus, E.J.2    Mulder, E.J.3    Smit, D.J.4    Boomsma, D.I.5    Stam, C.J.6
  • 55
    • 0002475292 scopus 로고    scopus 로고
    • Functional neuroimaging by synthetic aperture magnetometry (SAM)
    • Yoshimoto T, Kotani M, Kuriki S, Nakasato N, Karibe H
    • Robinson SE, Vrba J. 1999. Functional neuroimaging by synthetic aperture magnetometry (SAM). In: Yoshimoto T, Kotani M, Kuriki S, Nakasato N, Karibe H (Eds). Recent Advances in Biomagnetism. Sendai, Japan: p. 302-305.
    • (1999) Recent Advances in Biomagnetism. Sendai, Japan , pp. 302-305
    • Robinson, S.E.1    Vrba, J.2
  • 56
    • 84940586290 scopus 로고    scopus 로고
    • From genes to folds: A review of cortical gyrification theory
    • Ronan L, Fletcher PC. 2015. From genes to folds: a review of cortical gyrification theory. Brain Structure and Function 220:2475-2483. DOI: https://doi.org/10.1007/s00429-014-0961-z
    • (2015) Brain Structure and Function , vol.220 , pp. 2475-2483
    • Ronan, L.1    Fletcher, P.C.2
  • 58
    • 84894384080 scopus 로고    scopus 로고
    • Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
    • Salimi-Khorshidi G, Douaud G, Beckmann CF, Glasser MF, Griffanti L, Smith SM. 2014. Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers. NeuroImage 90:449-468. DOI: https://doi.org/10.1016/j.neuroimage.2013.11.046
    • (2014) Neuroimage , vol.90 , pp. 449-468
    • Salimi-Khorshidi, G.1    Douaud, G.2    Beckmann, C.F.3    Glasser, M.F.4    Griffanti, L.5    Smith, S.M.6
  • 59
    • 66449122748 scopus 로고    scopus 로고
    • Source connectivity analysis with MEG and EEG
    • Schoffelen JM, Gross J. 2009. Source connectivity analysis with MEG and EEG. Human Brain Mapping 30:1857-1865. DOI: https://doi.org/10.1002/hbm.20745
    • (2009) Human Brain Mapping , vol.30 , pp. 1857-1865
    • Schoffelen, J.M.1    Gross, J.2
  • 61
    • 84882285123 scopus 로고    scopus 로고
    • Resting state functional connectivity in preclinical Alzheimer’s disease
    • Sheline YI, Raichle ME. 2013. Resting state functional connectivity in preclinical Alzheimer’s disease. Biological Psychiatry 74:340-347. DOI: https://doi.org/10.1016/j.biopsych.2012.11.028
    • (2013) Biological Psychiatry , vol.74 , pp. 340-347
    • Sheline, Y.I.1    Raichle, M.E.2
  • 63
    • 57149119687 scopus 로고    scopus 로고
    • Heritability of "small-world" networks in the brain: A graph theoretical analysis of resting-state EEG functional connectivity
    • Smit DJ, Stam CJ, Posthuma D, Boomsma DI, de Geus EJ. 2008. Heritability of "small-world" networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity. Human Brain Mapping 29:1368-1378. DOI: https://doi.org/10.1002/hbm.20468
    • (2008) Human Brain Mapping , vol.29 , pp. 1368-1378
    • Smit, D.J.1    Stam, C.J.2    Posthuma, D.3    Boomsma, D.I.4    De Geus, E.J.5
  • 68
    • 85030640947 scopus 로고    scopus 로고
    • DOI: https://doi.org/10.1016/j.tics.2013.09.016
    • DOI:
  • 71
    • 84908609848 scopus 로고    scopus 로고
    • Modern network science of neurological disorders
    • Stam CJ. 2014. Modern network science of neurological disorders. Nature Reviews Neuroscience 15:683-695. DOI: https://doi.org/10.1038/nrn3801
    • (2014) Nature Reviews Neuroscience , vol.15 , pp. 683-695
    • Stam, C.J.1
  • 73
    • 27644509833 scopus 로고    scopus 로고
    • Applications of the signal space separation method
    • Taulu S, Simola J, Kajola M. 2005. Applications of the signal space separation method. IEEETransactions on Signal Processing 53:3359-3372. DOI: https://doi.org/10.1109/TSP.2005.853302
    • (2005) Ieeetransactions on Signal Processing , vol.53 , pp. 3359-3372
    • Taulu, S.1    Simola, J.2    Kajola, M.3
  • 74
    • 84963545848 scopus 로고    scopus 로고
    • Task-free MRI predicts individual differences in brain activity during task performance
    • Tavor I, Parker Jones O, Mars RB, Smith SM, Behrens TE, Jbabdi S. 2016. Task-free MRI predicts individual differences in brain activity during task performance. Science 352:216-220. DOI: https://doi.org/10.1126/ science.aad8127
    • (2016) Science , vol.352 , pp. 216-220
    • Tavor, I.1    Parker Jones, O.2    Mars, R.B.3    Smith, S.M.4    Behrens, T.E.5    Jbabdi, S.6
  • 78
    • 84874441867 scopus 로고    scopus 로고
    • Structure out of chaos: Functional brain network analysis with EEG, MEG, and functional MRI
    • van Straaten EC, Stam CJ. 2013. Structure out of chaos: functional brain network analysis with EEG, MEG, and functional MRI. European Neuropsychopharmacology 23:7-18. DOI: https://doi.org/10.1016/j.euroneuro.2012.10.010
    • (2013) European Neuropsychopharmacology , vol.23 , pp. 7-18
    • Van Straaten, E.C.1    Stam, C.J.2
  • 79
    • 84984552597 scopus 로고    scopus 로고
    • Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
    • Van Veen BD, Van Drongelen W, Yuchtman M, Suzuki A. 1997. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Transactions on Biomedical Engineering 44:867-880. DOI: https://doi.org/10.1109/10.623056
    • (1997) IEEE Transactions on Biomedical Engineering , vol.44 , pp. 867-880
    • Van Veen, B.D.1    Van Drongelen, W.2    Yuchtman, M.3    Suzuki, A.4
  • 80
    • 84880327399 scopus 로고    scopus 로고
    • Learning and comparing functional connectomes across subjects
    • Varoquaux G, Craddock RC. 2013. Learning and comparing functional connectomes across subjects. NeuroImage 80:405-415. DOI: https://doi.org/10.1016/j.neuroimage.2013.04.007
    • (2013) Neuroimage , vol.80 , pp. 405-415
    • Varoquaux, G.1    Craddock, R.C.2
  • 81
    • 79960280623 scopus 로고    scopus 로고
    • MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization
    • Woolrich M, Hunt L, Groves A, Barnes G. 2011. MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization. Neuro Image 57:1466-1479. DOI: https://doi.org/10.1016/j.neuroimage.2011.04.041
    • (2011) Neuro Image , vol.57 , pp. 1466-1479
    • Woolrich, M.1    Hunt, L.2    Groves, A.3    Barnes, G.4
  • 85
    • 84949845315 scopus 로고    scopus 로고
    • Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns
    • Yamashita M, Kawato M, Imamizu H. 2015. Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns. Scientific Reports 5:7622. DOI: https://doi.org/10.1038/srep07622
    • (2015) Scientific Reports , vol.5 , pp. 7622
    • Yamashita, M.1    Kawato, M.2    Imamizu, H.3


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