Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain

Cerebral Cortex

Volumn 26, Issue 5, 2016, Pages 2341-2352

  Yang, Zhi ^a,b   Zuo, Xi Nian ^a   McMahon, Katie L ^c   Craddock, R Cameron ^d,e   Kelly, Clare ^f   De Zubicaray, Greig I ^c   Hickie, Ian ^g   Bandettini, Peter A ^b   Castellanos, F Xavier ^f   Milham, Michael P ^d,e   Wright, Margaret J ^h  

^a INSTITUTE OF PSYCHOLOGY   (China)

^b NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d CHILD MIND INSTITUTE   (United States)

^e NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^f NEW YORK UNIVERSITY CHILD STUDY CENTER   (United States)

^g UNIVERSITY OF SYDNEY   (Australia)

^h QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

connectome; environmental contribution; heritability; intrinsic connectivity network; twins

Indexed keywords

ADULT; ARTICLE; BRAIN; CONNECTOME; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENETIC REGULATION; HERITABILITY; HUMAN; HUMAN EXPERIMENT; INTRINSIC CONNECTIVITY NETWORK; MALE; NERVE CELL NETWORK; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING; ADOLESCENT; BRAIN MAPPING; GENOTYPE ENVIRONMENT INTERACTION; INDIVIDUALITY; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; TWINS; YOUNG ADULT;

ADOLESCENT; ADULT; BRAIN; BRAIN MAPPING; CONNECTOME; FEMALE; GENE-ENVIRONMENT INTERACTION; HUMANS; INDIVIDUALITY; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; YOUNG ADULT;

EID: 84965097479     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhw027     Document Type: Article

References (117)

1. Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL. 2010. Functional-anatomic fractionation of the brain's default network. Neuron. 65:550-562.
2. Baggio HC, Segura B, Sala-Llonch R, Marti MJ, Valldeoriola F, Compta Y, Tolosa E, Junque C. 2015. Cognitive impairment and resting-state network connectivity in parkinson's disease. Hum Brain Mapp. 36:199-212.
3. Bartley AJ, Jones DW, Weinberger DR. 1997. Genetic variability of human brain size and cortical gyral patterns. Brain. 120:257-269.
4. Beckmann CF, Mackay CE, Filippini N, Smith SM. 2009. Group comparison of resting-state fMRI data using multi-subject ica and dual regression. Neuroimage. 47:S148.
5. Beckmann CF, Smith SM. 2004. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging. 23:137-152.
6. Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, et al. 2010. Toward discovery science of human brain function. Proc Natl Acad Sci USA. 107:4734-4739.
7. Blokland GA, de Zubicaray GI, McMahon KL, Wright MJ. 2012. Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies. Twin Res Hum Genet. 15:351-371.
8. Blokland GA, McMahon KL, Thompson PM, Martin NG, de Zubicaray GI, Wright MJ. 2011. Heritability of working memory brain activation. J Neurosci. 31:10882-10890.
9. Boker S, Neale M, Maes H, Wilde M, Spiegel M, Brick T, Spies J, Estabrook R, Kenny S, Bates T, et al. 2011. OpenMX: an open source extended structural equation modeling framework. Psychometrika. 76:306-317.
10. Brehmer Y, Li S-C, Muller V, von Oertzen T, Lindenberger U. 2007. Memory plasticity across the lifespan: uncovering children's latent potential. Develop Psych. 43:465-478.
11. Bressler SL, Menon V. 2010. Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn Sci. 14:277-290.
12. Buckner RL, Andrews-Hanna JR, Schacter DL. 2008. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 1124:1-38.
13. Buckner RL, Krienen FM, Yeo BT. 2013. Opportunities and limitations of intrinsic functional connectivity MRI. Nat Neurosci. 16:832-837.
14. Cavanna AE, Trimble MR. 2006. The precuneus: a review of its functional anatomy and behavioural correlates. Brain. 129:564-583.
15. Cerliani L, Mennes M, Thomas RM, Di Martino A, Thioux M, Keysers C. 2015. Increased functional connectivity between subcortical and cortical resting-state networks in autism spectrum disorder. JAMA Psychiatry. 72:767-777.
16. Cerqueira JJ, Mailliet F, Almeida OF, Jay TM, Sousa N. 2007. The prefrontal cortex as a key target of the maladaptive response to stress. J Neurosci. 27:2781-2787.
17. Chiang MC, Avedissian C, Barysheva M, Toga AW, McMahon KL, de Zubicaray GI, Wright MJ, Thompson PM. 2009. Extending genetic linkage analysis to diffusion tensor images to map single gene effects on brain fiber architecture. Med Image Comput Comput Assist Interv. 12:506-513.
18. Chiang MC, Barysheva M, Toga AW, Medland SE, Hansell NK, James MR, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, et al. 2011. BDNF gene effects on brain circuitry replicated in 455 twins. Neuroimage. 55:448-454.
19. Cole MW, Reynolds JR, Power JD, Repovs G, Anticevic A, Braver TS. 2013. Multi-task connectivity reveals flexible hubs for adaptive task control. Nat Neurosci. 16:1348-1355.
20. Colizzi M, Fazio L, Ferranti L, Porcelli A, Masellis R, Marvulli D, Bonvino A, Ursini G, Blasi G, Bertolino A. 2015. Functional genetic variation of the cannabinoid receptor 1 and cannabis use interact on prefrontal connectivity and related working memory behavior. Neuropsychopharmacology. 40:640-649.
21. Couvy-Duchesne B, Blokland GA, Hickie IB, Thompson PM, Martin NG, de Zubicaray GI, McMahon KL, Wright MJ. 2014. Heritability of head motion during resting state functional mri in 462 healthy twins. Neuroimage. 102:424-434.
22. Cox RW. 1996. Afni: Software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 29:162-173.
23. Dale AM, Fischl B, Sereno MI. 1999. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 9:179-194.
24. Damoiseaux JS, Rombouts SA, Barkhof F, Scheltens P, Stam CJ, Smith SM, Beckmann CF. 2006. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci USA. 103:13848-13853.
25. Deco G, Corbetta M. 2011. The dynamical balance of the brain at rest. Neuroscientist. 17:107-123.
26. de Zubicaray GI, Chiang MC, McMahon KL, Shattuck DW, Toga AW, Martin NG, Wright MJ, Thompson PM. 2008. Meeting the challenges of neuroimaging genetics. Brain Imaging Behav. 2:258-263.
27. Diez I, Erramuzpe A, Escudero I, Mateos B, Cabrera A, Marinazzo D, Sanz-Arigita EJ, Stramaglia S, Cortes Diaz JM. 2015. Information flow between resting-state networks. Brain Connect. 5:554-564.
28. Fan J, Wu Y, Fossella JA, Posner MI. 2001. Assessing the heritability of attentional networks. BMC Neurosci. 2:14.
29. Fischl B. 2012. Freesurfer. Neuroimage. 62:774-781.
30. Fischl B, Liu A, Dale AM. 2001. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging. 20:70-80.
31. Fischl B, Sereno MI, Dale AM. 1999. Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage. 9:195-207.
32. Fornito A, Zalesky A, Bassett DS, Meunier D, Ellison-Wright I, Yucel M, Wood SJ, Shaw K, O'Connor J, Nertney D, et al. 2011. Genetic influences on cost-efficient organization of human cortical functional networks. J Neurosci. 31:3261-3270.
33. Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME. 2006. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci USA. 103:10046-10051.
34. Fox MD, Raichle ME. 2007. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 8:700-711.
35. Fulker DW, Jinks JL. 1970. Comparative analyses of twin data. Acta Genet Med Gemellol (Roma). 19:140.
36. Gandhi TK, Ganesh S, Sinha P. 2014. Improvement in spatial imagery following sight onset late in childhood. Psychol Sci. 25:693-701.
37. Gao W, Elton A, Zhu H, Alcauter S, Smith JK, Gilmore JH, Lin W. 2014. Intersubject variability of and genetic effects on the brain's functional connectivity during infancy. J Neurosci. 34:11288-11296.
38. Garrett DD, Kovacevic N, McIntosh AR, Grady CL. 2010. Blood oxygen level-dependent signal variability is more than just noise. J Neurosci. 30:4914-4921.
39. Gilmore AW, Nelson SM, McDermott KB. 2015. A parietal memory network revealed by multiple MRI methods. Trends Cogn Sci. 19:534-543.
40. Glahn DC, Winkler AM, Kochunov P, Almasy L, Duggirala R, Carless MA, Curran JC, Olvera RL, Laird AR, Smith SM, et al. 2010. Genetic control over the resting brain. Proc Natl Acad Sci USA. 107:1223-1228.
41. Greenwood PM, Parasuraman R, Haxby JV. 1993. Changes in visuospatial attention over the adult lifespan. Neuropsychologia. 31:471-485.
42. Greve DN, Fischl B. 2009. Accurate and robust brain image alignment using boundary-based registration. Neuroimage. 48:63-72.
43. Hagmann CF, Robertson NJ, Leung WC, Chong KW, Chitty LS. 2008. Foetal brain imaging: Ultrasound or mri. A comparison between magnetic resonance imaging and a dedicated multidisciplinary neurosonographic opinion. Acta Paediatr. 97:414-419.
44. Hanakawa T, Immisch I, Toma K, Dimyan MA, Van Gelderen P, Hallett M. 2003. Functional properties of brain areas associated with motor execution and imagery. J Neurophysiol. 89:989-1002.
45. Hasler G, Northoff G. 2011. Discovering imaging endophenotypes for major depression. Mol Psychiatry. 16:604-619.
46. Henson RNA, Rugg MD, Shallice T, Josephs O, Dolan RJ. 1999. Recollection and familiarity in recognition memory: an event-related functional magnetic resonance imaging study. J Neurosci. 19:3962-3972.
47. Jafri MJ, Pearlson GD, Stevens M, Calhoun VD. 2008. A method for functional network connectivity among spatially independent restingstate components in schizophrenia. Neuroimage. 39:1666-1681.
48. Jahanshad N, Kochunov PV, Sprooten E, Mandl RC, Nichols TE, Almasy L, Blangero J, Brouwer RM, Curran JE, de Zubicaray GI, et al. 2013. Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the enigma-dti working group. Neuroimage. 81:455-469.
49. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. 2012. FSL. Neuroimage. 62:782-790.
50. Jiang L, Xu T, He Y, Hou XH, Wang J, Cao XY, Wei GX, Yang Z, He Y, Zuo XN. 2015. Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization. Brain Struct Funct. 220:2485-2507.
51. Jiang L, Zuo XN. 2015. Regional homogeneity: a multi-modal, multi-scale neuroimaging marker of the human connectome. Neuroscientist. doi: 10.1177/1073858415595004.
52. Jones DT, Machulda MM, Vemuri P, McDade EM, Zeng G, Senjem ML, Gunter JL, Przybelski SA, Avula RT, Knopman DS, et al. 2011. Age-related changes in the default mode network are more advanced in Alzheimer disease. Neurology. 77:1524-1531.
53. Kaiser T, Feng G. 2015. Modeling psychiatric disorders for developing effective treatments. Nat Med. 21:979-988.
54. Kaneoke Y, Donishi T, Iwatani J, Ukai S, Shinosaki K, Terada M. 2012. Variance and autocorrelation of the spontaneous slow brain activity. PLoS One. 7:e38131.
55. Kaymaz N, van Os J. 2009. Heritability of structural brain traits an endophenotype approach to deconstruct schizophrenia. Int Rev Neurobiol. 89:85-130.
56. Kelly C, Biswal BB, Craddock RC, Castellanos FX, Milham MP. 2012. Characterizing variation in the functional connectome: promise and pitfalls. Trends Cogn Sci. 16:181-188.
57. Kemmer PB, Guo Y, Wang Y, Pagnoni G. 2015. Network-based characterization of brain functional connectivity in Zen practitioners. Front Psychol. 6:603.
58. Kim DY, Lee JH. 2011. Are posterior default-mode networks more robust than anterior default-mode networks? Evidence from resting-state fMRI data analysis. Neurosci Lett. 498:57-62.
59. Kircher TTJ, Senior C, Phillips ML, Benson PJ, Bullmore ET, Brammer M, Simmons A, Williams SC, Bartels M, David AS. 2000. Towards a functional neuroanatomy of self-processing: effects of faces and words. Cogn Brain Res. 10:133-144.
60. Klingberg T. 2010. Training and plasticity of working memory. Trends Cogn Sci. 14:317-324.
61. Knyazev G. 2012. Extraversion and anterior vs. posterior DMN activity during self-referential thoughts. Front Hum Neurosci. 6:348.
62. Koch W, Teipel S, Mueller S, Buerger K, Bokde AL, Hampel H, Coates U, Reiser M, Meindl T. 2010. Effects of aging on default mode network activity in resting state fMRI: does the method of analysis matter? Neuroimage. 51:280-287.
63. Kochunov P, Glahn D, Lancaster J, Winkler A, Kent JW Jr, Olvera RL, Cole SA, Dyer TD, Almasy L, Duggirala R, et al. 2010. Whole brain and regional hyperintense white matter volume and blood pressure: overlap of genetic loci produced by bivariate, whole-genome linkage analyses. Stroke. 41:2137-2142.
64. Kochunov P, Glahn DC, Nichols TE, Winkler AM, Hong EL, Holcomb HH, Stein JL, Thompson PM, Curran JE, Carless MA, et al. 2011. Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain. Front Neurosci. 5:120.
65. Koten JW Jr, Wood G, Hagoort P, Goebel R, Propping P, Willmes K, Boomsma DI. 2009. Genetic contribution to variation in cognitive function: an FMRI study in twins. Science. 323:1737-1740.
66. Kyathanahally SP, Jia H, Pustovyy OM, Waggoner P, Beyers R, Schumacher J, Barrett J, Morrison EE, Salibi N, Denney TS, et al. 2015. Anterior-posterior dissociation of the default mode network in dogs. Brain Struct Funct. 220:1063-1076.
67. Laird AR, Eickhoff SB, Rottschy C, Bzdok D, Ray KL, Fox PT. 2013. Networks of task co-activations. Neuroimage. 80:505-514.
68. Laird AR, Fox PM, Eickhoff SB, Turner JA, Ray KL, McKay DR, Glahn DC, Beckmann CF, Smith SM, Fox PT. 2011. Behavioral interpretations of intrinsic connectivity networks. J Cogn Neurosci. 23:4022-4037.
69. Lenroot RK, Schmitt JE, Ordaz SJ, Wallace GL, Neale MC, Lerch JP, Kendler KS, Evans AC, Giedd JN. 2009. Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence. Hum Brain Mapp. 30:163-174.
70. Makin TR, Filippini N, Duff EP, Henderson Slater D, Tracey I, Johansen-Berg H. 2015. Network-level reorganisation of functional connectivity following arm amputation. Neuroimage. 114:217-225.
71. Margulies DS, Vincent JL, Kelly C, Lohmann G, Uddin LQ, Biswal BB, Villringer A, Castellanos FX, Milham MP, Petrides M. 2009. Precuneus shares intrinsic functional architecture in humans and monkeys. Proc Natl Acad Sci USA. 106:20069-20074.
72. McEwen BS, Morrison JH. 2013. The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron. 79:16-29.
73. Menon V. 2011. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci. 15:483-506.
74. Miller EK, Cohen JD. 2001. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 24:167-202.
75. Mosing MA, Mellanby J, Martin NG, Wright MJ. 2012. Genetic and environmental influences on analogical and categorical verbal and spatial reasoning in 12-year old twins. Behav Gene. 42:722-731.
76. Neale MC, Cardon LR. 1992. Methodology for genetic studies of twins and families. Dordrecht, the Netherlands: Kluwer Academic.
77. Nomi JS, Uddin LQ. 2015. Developmental changes in large-scale network connectivity in autism. Neuroimage Clin. 7:732-741.
78. Olesen PJ, Westerberg H, Klingberg T. 2004. Increased prefrontal and parietal activity after training of working memory. Nat Neurosci. 7:75-79.
79. Park H, Kennedy KM, Rodrigue KM, Hebrank A, Park DC. 2013. An fMRI study of episodic encoding across the lifespan: changes in subsequent memory effects are evident by middle-age. Neuropsychologia. 51:448-456.
80. Park S, Thakkar KN. 2010. "Splitting of the mind" revisited: recent neuroimaging evidence for functional dysconnection in schizophrenia and its relation to symptoms. Am J Psychiatry. 167:366-368.
81. Penick JE. 1982. Self-perceptions in science, cognitive development, and teaching strategy. J Exp Edu. 51:75-80.
82. Plomin R, DeFries JC, McClearn GE, McGuffin P. 2000. Behavioral genetics. New York, NY: Worth Publishers.
83. Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, Vogel AC, Laumann TO, Miezin FM, Schlaggar BL, et al. 2011. Functional network organization of the human brain. Neuron. 72:665-678.
84. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. 2012. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 59:2142-2154.
85. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. 2001. A default mode of brain function. Proc Natl Acad Sci USA. 98:676-682.
86. Rijsdijk FV, Sham PC. 2002. Analytic approaches to twin data using structural equation models. Brief Bioinform. 3:119-133.
87. Ruigrok AN, Salimi-Khorshidi G, Lai M-C, Baron-Cohen S, Lombardo MV, Tait RJ, Suckling J. 2014. A meta-analysis of sex differences in human brain structure. Neurosci Behav Rev. 39:34-50.
88. Samanez-Larkin GR, Kuhnen CM, Yoo DJ, Knutson B. 2010. Variability in nucleus accumbens activity mediates age-related suboptimal financial risk taking. J Neurosci. 30:1426-1434.
89. Schachar RJ, Forget-Dubois N, Dionne G, Boivin M, Robaey P. 2011. Heritability of response inhibition in children. J Int Neuropsych Soc. 17:238-247.
90. Segonne F, Dale AM, Busa E, Glessner M, Salat D, Hahn HK, Fischl B. 2004. A hybrid approach to the skull stripping problem in MRI. Neuroimage. 22:1060-1075.
91. Segonne F, Pacheco J, Fischl B. 2007. Geometrically accurate topology-correction of cortical surfaces using nonseparating loops. IEEE Trans Med Imaging. 26:518-529.
92. Silberg JL, Heath AC, Kessler R, Neale MC, Meyer JM, Eaves LJ, Kendler KS. 1990. Genetic and environmental effects on selfreported depressive symptoms in a general population twin sample. J Psychiatr Res. 24:197-212.
93. Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Filippini N, Watkins KE, Toro R, Laird AR, et al. 2009. Correspondence of the brain's functional architecture during activation and rest. Proc Natl Acad Sci USA. 106:13040-13045.
94. Soderqvist S, Bergman Nutley S, Peyrard-Janvid M, Matsson H, Humphreys K, Kere J, Klingberg T. 2012. Dopamine, working memory, and training induced plasticity: implications for developmental research. Dev Psychol. 48:836-843.
95. Sporns O. 2013. Network attributes for segregation and integration in the human brain. Curr Opin Neurobiol. 23:162-171.
96. Steffener J, Habeck CG, Stern Y. 2012. Age-related changes in task related functional network connectivity. PLoS One. 7:e44421.
97. Stephan KE, Friston KJ, Frith CD. 2009. Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoring. Schizophr Bull. 35:509-527.
98. Tomasi D, Volkow ND. 2010. Functional connectivity density mapping. Proc Natl Acad Sci USA. 107:9885-9890.
99. van den Heuvel MP, Kahn RS. 2011. Abnormal brain wiring as a pathogenetic mechanism in schizophrenia. Biol Psychiatry. 70:1107-1108.
100. van den Heuvel MP, Sporns O. 2013. Network hubs in the human brain. Trends Cogn Sci. 17:683-696.
101. van den Heuvel MP, van Soelen IL, Stam CJ, Kahn RS, Boomsma DI, Hulshoff Pol HE. 2013. Genetic control of functional brain network efficiency in children. Eur Neuropsychopharmacol. 23:19-23.
102. Van Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K, The WU-Minn HCP Consortium. 2013. The wu-minn human connectome project: an overview. Neuroimage. 80:62-79.
103. Wright MJ, Martin NG. 2004. Brisbane adolescent twin study: Outline of study methods and research projects. Aust J Psychol. 56:65-78.
104. Xing XX, Zhou YL, Adelstein JS, Zuo XN. 2011. Pde-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration. Magn Reson Imaging. 29:731-738.
105. Xu T, Yang Z, Jiang L, Xing XX, Zuo XN. 2015. A connectome computation system for discovery science of brain. Sci Bull. 60:86-95.
106. Yang Z, Chang C, Xu T, Jiang L, Handwerker DA, Castellanos FX, Milham MP, Bandettini PA, Zuo XN. 2014. Connectivity trajectory across lifespan differentiates the precuneus from the default network. Neuroimage. 89:45-56.
107. Yang Z, LaConte S, Weng X, Hu X. 2008. Ranking and averaging independent component analysis by reproducibility (RAICAR). Hum Brain Mapp. 29:711-725.
108. Yang Z, Xu Y, Xu T, Hoy CW, Handwerker DA, Chen G, Northoff G, Zuo XN, Bandettini PA. 2014. Brain network informed subject community detection in early-onset schizophrenia. Sci Rep. 4:5549.
109. Yang Z, Zuo XN, Wang P, Li Z, LaConte SM, Bandettini PA, Hu XP. 2012. Generalized RAICAR: discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks. Neuroimage. 63:403-414.
110. Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L, Polimeni JR, et al. 2011. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 106:1125-1165.
111. Zhang D, Raichle ME. 2010. Disease and the brain's dark energy. Nat Rev Neurol. 6:15-28.
112. Zhang S, Li CS. 2012. Functional connectivity mapping of the human precuneus by resting state fmri. Neuroimage. 59:3548-3562.
113. Zuo XN, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, Breitner JC, Buckner RL, Calhoun VD, Castellanos FX, et al. 2014. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci Data. 1:140049.
114. Zuo XN, Ehmke R, Mennes M, Imperati D, Castellanos FX, Sporns O, Milham MP. 2012. Network centrality in the human functional connectome. Cereb Cortex. 22:1862-1875.
115. Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP. 2010. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage. 49:2163-2177.
116. Zuo XN, Xing XX. 2011. Effects of non-local diffusion on structural mri preprocessing and default network mapping: statistical comparisons with isotropic/anisotropic diffusion. PLoS One. 6:e26703.
117. Zuo XN, Xing XX. 2014. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective. Neurosci Biobehav Rev. 45:100-118.