Subcortical contributions to large-scale network communication

Neuroscience and Biobehavioral Reviews

Volumn 71, Issue , 2016, Pages 313-322

  Bell, Peter T ^a,b   Shine, James M ^b,c,d  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d STANFORD UNIVERSITY   (United States)

Author keywords

Basal ganglia; Connectivity; Dopamine; Hub; Integration; Striatum; Thalamus

Indexed keywords

BASAL GANGLION; BRAIN CORTEX; BRAIN FUNCTION; HUMAN; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; REVIEW; SIGNAL TRANSDUCTION; THALAMUS; BRAIN; BRAIN MAPPING; NERVE TRACT;

BRAIN; BRAIN MAPPING; HUMANS; NEURAL PATHWAYS;

EID: 84988416839     PISSN: 01497634     EISSN: 18737528     Source Type: Journal    
DOI: 10.1016/j.neubiorev.2016.08.036     Document Type: Review

References (150)

1. Aarts, E., van Holstein, M., Cools, R., Striatal dopamine and the interface between motivation and cognition. Front. Psychol., 2, 2011, 163.
2. Achard, S., Bullmore, E., Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3:2 (2007), 174–183.
3. Alexander, G.E., Crutcher, M.D., Functional architecture of basal ganglia circuits: neural substrates of parallel processing. Trends Neurosci. 13:7 (1990), 266–271.
4. Alexander, G.E., Delong, M.R., Strick, P.L., Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu. Rev. Neurosci. 9 (1986), 357–381.
5. Allen, E.A., Damaraju, E., Plis, S.M., Erhardt, E.B., Eichele, T., Calhoun, V.D., Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex, 2012.
6. Alstott, J., Breakspear, M., Hagmann, P., Cammoun, L., Sporns, O., Modeling the impact of lesions in the human brain. PLoS Comput. Biol., 5(6), 2009.
7. Averbeck, B.B., Lehman, J., Jacobson, M., Haber, S.N., Estimates of projection overlap and zones of convergence within frontal-striatal circuits. J. Neurosci. 34:29 (2014), 9497–9505.
8. Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Rich-club organization of the newborn human brain. Proc. Natl. Acad. Sci. 111:20 (2014), 7456–7461.
9. Bar-Gad, I., Morris, G., Bergman, H., Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. Prog. Neurobiol. 71:6 (2003), 439–473.
10. Bargmann, C.I., Marder, E., From the connectome to brain function. Nat. Methods 10:6 (2013), 483–490.
11. Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J., Carlson, J.M., Grafton, S.T., Dynamic reconfiguration of human brain networks during learning. Proc. Natl. Acad. Sci. 108:18 (2011), 7641–7646.
12. Bassett, D.S., Yang, M., Wymbs, N.F., Grafton, S.T., Learning-induced autonomy of sensorimotor systems. Nat. Neurosci. 18:5 (2015), 744–751.
13. Behrmann, M., Plaut, D.C., Distributed circuits: not circumscribed centers, mediate visual recognition. Trends Cogn. Sci. 17:5 (2013), 210–219.
14. Belin, D., Everitt, B.J., Cocaine seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum. Neuron 57:3 (2008), 432–441.
15. Bell, P.T., Shine, J.M., Estimating large-scale network convergence in the human functional connectome. Brain Connect 5:9 (2015), 565–574.
16. Bell, P.T., Gilat, M., O'Callaghan, C., Copland, D.A., Frank, M.J., Lewis, S.J.G., Dopaminergic basis for impairments in functional connectivity across subdivisions of the striatum in Parkinson's disease. Hum. Brain Mapp. 36:4 (2015), 1278–1291.
17. Bevan, M.D., Clarke, N.P., Bolam, J.P., Synaptic integration of functionally diverse pallidal information in the entopeduncular nucleus and subthalamic nucleus in the rat. J. Neurosci. 17:1 (1997), 308–324.
18. Bota, M., Sporns, O., Swanson, L.W., Architecture of the cerebral cortical association connectome underlying cognition. Proc. Natl. Acad. Sci. U. S. A. 112:16 (2015), E2093–101.
19. Braak, H., Del Tredici, K., Rub, U., de Vos, R.A., Jansen Steur, E.N., Braak, E., Staging of brain pathology related to sporadic Parkinson's disease. Neurobiol. Aging 24:2 (2003), 197–211.
20. Braga, R.M., Leech, R., Echoes of the brain: local-Scale representation of whole-brain functional networks within transmodal cortex. Neuroscientist, 2015.
21. Braun, U., Schafer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc. Natl. Acad. Sci. U. S. A. 112:37 (2015), 11678–11683.
22. Breakspear, M., Stam, C.J., Dynamics of a neural system with a multiscale architecture. Phil. Trans. R. Soc. B: Biol. Sci. 360:1457 (2005), 1051–1074.
23. Bromberg-Martin, E.S., Matsumoto, M., Hikosaka, O., Dopamine in motivational control: rewarding, aversive, and alerting. Neuron 68:5 (2010), 815–834.
24. Bullmore, E., Sporns, O., Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10:3 (2009), 186–198.
25. Cabral, J., Luckhoo, H., Woolrich, M., Joensson, M., Mohseni, H., Baker, A., Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. Neuroimage 90 (2014), 423–435.
26. Calabresi, P., Picconi, B., Tozzi, A., Di Filippo, M., Dopamine-mediated regulation of corticostriatal synaptic plasticity. Trends Neurosci. 30:5 (2007), 211–219.
27. Calhoun, Vince D., Miller, R., Pearlson, G., Adalı, T., The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84:2 (2014), 262–274.
28. Calzavara, R., Mailly, P., Haber, S.N., Relationship between the corticostriatal terminals from areas 9 and 46, and those from area 8A, dorsal and rostral premotor cortex and area 24c: an anatomical substrate for cognition to action. Eur. J. Neurosci. 26:7 (2007), 2005–2024.
29. Chaudhuri, K.R., Healy, D.G., Schapira, A.H.V., Non-motor symptoms of Parkinson's disease: diagnosis and management. Lancet Neurol. 5:3 (2006), 235–245.
30. Chudasama, Y., Robbins, T.W., Functions of frontostriatal systems in cognition: comparative neuropsychopharmacological studies in rats, monkeys and humans. Biol. Psychol. 73:1 (2006), 19–38.
31. Cocchi, L., Sale, M.V., Gollo, L.L., Bell, P.T., Nguyen, V.T., Zalesky, A., Breakspear, M., Mattingley, J.B., A hierarchy of timescales explains distinct effects of local inhibition of primary visual cortex and frontal eye fields. eLife, 5, 2016, e15252.
32. Cole, Michael W., Bassett Danielle, S., Power Jonathan, D., Braver Todd, S., Petersen Steven, E., Intrinsic and task-evoked network architectures of the human brain. Neuron 83:1 (2014), 238–251.
33. Colizza, V., Flammini, A., Serrano, M.A., Vespignani, A., Detecting rich-club ordering in complex networks. Nat. Phys. 2:2 (2006), 110–115.
34. Collin, G., Sporns, O., Mandl, R.C., van den Heuvel, M.P., Structural and functional aspects relating to cost and benefit of rich club organization in the human cerebral cortex. Cereb. Cortex (New York, NY : 1991), 2013.
35. Crossley, N.A., Mechelli, A., Scott, J., Carletti, F., Fox, P.T., McGuire, P., et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain, 2014.
36. Damasio, A.R., The brain binds entities and events by multiregional activation from convergence zones. Neural Comput. 1:1 (1989), 123–132.
37. Dayan, E., Censor, N., Buch, E.R., Sandrini, M., Cohen, L.G., Noninvasive brain stimulation: from physiology to network dynamics and back. Nat. Neurosci. 16:7 (2013), 838–844.
38. de Hollander, G., Keuken, M.C., Forstmann, B.U., The subcortical cocktail problem; mixed signals from the subthalamic nucleus and substantia nigra. PLoS One, 10(3), 2015, e0120572.
39. de Pasquale, F., Penna, S.D., Sporns, O., Romani, G.L., Corbetta, M., A dynamic core network and global efficiency in the resting human brain. Cereb. Cortex, 2015.
40. Deco, G., Tononi, G., Boly, M., Kringelbach, M.L., Rethinking segregation and integration: contributions of whole-brain modelling. Nat. Rev. Neurosci. 16:7 (2015), 430–439.
41. Draganski, B., Kherif, F., Kloeppel, S., Cook, P.A., Alexander, D.C., Parker, G.J.M., Evidence for segregated and integrative connectivity patterns in the human basal ganglia. J. Neurosci. 28:28 (2008), 7143–7152.
42. Dubbelink, K., Hillebrand, A., Stoffers, D., Deijen, J.B., Twisk, J.W.R., Stam, C.J., Disrupted brain network topology in Parkinson's disease: a longitudinal magnetoencephalography study. Brain 137 (2014), 197–207.
43. Felleman, D.J., Van Essen, D.C., Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex (New York, NY: 1991) 1:1 (1991), 1–47.
44. Fornito, A., Harrison, B.J., Zalesky, A., Simons, J.S., Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection. Proc. Natl. Acad. Sci. U. S. A. 109:31 (2012), 12788–12793.
45. Fornito, A., Zalesky, A., Breakspear, M., The connectomics of brain disorders. Nat. Rev. Neurosci. 16:3 (2015), 159–172.
46. Fox, P.T., Friston, K.J., Distributed processing; distributed functions?. Neuroimage 61:2 (2012), 407–426.
47. Francois, C., Yelnik, J., Percheron, G., Fenelon, G., Topographic distribution of the axonal endings from the sensorimotor and associative striatum in the macaque pallidum and substantia nigra. Exp. Brain Res. 102:2 (1994), 305–318.
48. French, S.J., Totterdell, S., Hippocampal and prefrontal cortical inputs monosynaptically converge with individual projection neurons of the nucleus accumbens. J. Comp. Neurol. 446:2 (2002), 151–165.
49. French, S.J., Totterdell, S., Individual nucleus accumbens-projection neurons receive both basolateral amygdala and ventral subicular afferents in rats. Neuroscience 119:1 (2003), 19–31.
50. Friederici, A.D., Gierhan, S.M., The language network. Curr. Opin. Neurobiol. 23:2 (2013), 250–254.
51. Goldman-Rakic, P.S., Topography of cognition: parallel distributed networks in primate association cortex. Annu. Rev. Neurosci. 11 (1988), 137–156.
52. Gollo, L.L., Zalesky, A., Hutchison, R.M., van den Heuvel, M., Breakspear, M., Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations. Philos. Trans. R. Soc. Lond. B Biol. Sci., 2015, 370.
53. Grace, A.A., Floresco, S.B., Goto, Y., Lodge, D.J., Regulation of firing of dopaminergic neurons and control of goal-directed behaviors. Trends Neurosci. 30:5 (2007), 220–227.
54. Graybiel, A.M., Aosaki, T., Flaherty, A.W., Kimura, M., The basal ganglia and adaptive motor control. Science 265:5180 (1994), 1826–1831.
55. Grayson, D.S., Ray, S., Carpenter, S., Iyer, S., Dias, T.G.C., Stevens, C., et al. Structural and functional rich club organization of the brain in children and adults. PLoS One, 9(2), 2014, e88297.
56. Guillery, R.W., Anatomical evidence concerning the role of the thalamus in corticocortical communication: a brief review. J. Anat. 187:Pt 3 (1995), 583–592.
57. Haber, S.N., Calzavara, R., The cortico-basal ganglia integrative network: the role of the thalamus. Brain Res. Bull. 78:2-3 (2009), 69–74.
58. Haber, S.N., Knutson, B., The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology 35:1 (2010), 4–26.
59. Haber, S.N., Fudge, J.L., McFarland, N.R., Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. J. Neurosci. 20:6 (2000), 2369–2382.
60. Haber, S.N., Kim, K.S., Mailly, P., Calzavara, R., Reward-related cortical inputs define a large striatal region in primates that interface with associative cortical connections, providing a substrate for incentive-based learning. J. Neurosci. 26:32 (2006), 8368–8376.
61. Haber, S.N., Chapter 24 – integrative networks across basal ganglia circuits. Heinz, S., Kuei, Y.T., (eds.) Handbook of Behavioral Neuroscience, 2010, Elsevier, 409–427.
62. Haber, S.N., The place of dopamine in the cortico-basal ganglia circuit. Neuroscience 282:0 (2014), 248–257.
63. Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C.J., Wedeen, V.J., et al. Mapping the structural core of human cerebral cortex. PLoS Biol., 6(7), 2008, e159.
64. Harriger, L., van den Heuvel, M.P., Sporns, O., Rich club organization of macaque cerebral cortex and its role in network communication. PLoS One, 7(9), 2012, e46497.
65. Harrington, D.L., Rubinov, M., Durgerian, S., Mourany, L., Reece, C., Koenig, K., Network topology and functional connectivity disturbances precede the onset of Huntington's disease. Brain 138:Pt 8 (2015), 2332–2346.
66. Haynes, W.I.A., Haber, S.N., The organization of prefrontal-subthalamic inputs in primates provides an anatomical substrate for both functional specificity and integration: implications for basal ganglia models and deep brain stimulation. J. Neurosci. 33:11 (2013), 4804–4814.
67. Hearne, L., Cocchi, L., Zalesky, A., Mattingley, J.B., Interactions between default mode and control networks as a function of increasing cognitive reasoning complexity. Hum. Brain Mapp. 36:7 (2015), 2719–2731.
68. Honey, C.J., Sporns, O., Dynamical consequences of lesions in cortical networks. Hum. Brain Mapp. 29:7 (2008), 802–809.
69. Honey, C.J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J.P., Meuli, R., Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. 106:6 (2009), 2035–2040.
70. Hoover, J.E., Strick, P.L., Multiple output channels in the basal ganglia. Science 259:5096 (1993), 819–821.
71. Houk, J.C., Wise, S.P., Distributed modular architectures linking basal ganglia, cerebellum, and cerebral cortex: their role in planning and controlling action. Cerebral Cortex (New York, NY: 1991) 5:2 (1995), 95–110.
72. Hutchison, R.M., Womelsdorf, T., Allen, E.A., Bandettini, P.A., Calhoun, V.D., Corbetta, M., Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage 80:0 (2013), 360–378.
73. Ikemoto, S., Dopamine reward circuitry: two projection systems from the ventral midbrain to the nucleus accumbens-olfactory tubercle complex. Brain Res. Rev. 56:1 (2007), 27–78.
74. Irimia, A., Van Horn, J.D., Systematic network lesioning reveals the core white matter scaffold of the human brain. Front. Hum. Neurosci., 8, 2014, 51.
75. Iturria-Medina, Y., Sotero, R.C., Canales-Rodriguez, E.J., Aleman-Gomez, Y., Melie-Garcia, L., Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. Neuroimage 40:3 (2008), 1064–1076.
76. Jarbo, K., Verstynen, T.D., Converging structural and functional connectivity of orbitofrontal: dorsolateral prefrontal, and posterior parietal cortex in the human striatum. J. Neurosci. 35:9 (2015), 3865–3878.
77. Jones, E.G., The Thalamus. 2012, Springer Science & Business Media.
78. Kahan, J., Urner, M., Moran, R., Flandin, G., Marreiros, A., Mancini, L., Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on ‘effective’ connectivity. Brain, 2014.
79. Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D.A., Reiss, P.T., Klein, D.F., L-Dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. J. Neurosci. 29:22 (2009), 7364–7378.
80. Keuken, M.C., Bazin, P.L., Crown, L., Hootsmans, J., Laufer, A., Muller-Axt, C., Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. Neuroimage 94 (2014), 40–46.
81. Kitzbichler, M.G., Henson, R.N., Smith, M.L., Nathan, P.J., Bullmore, E.T., Cognitive effort drives workspace configuration of human brain functional networks. J. Neurosci. 31:22 (2011), 8259–8270.
82. Kolomiets, B.P., Deniau, J.M., Mailly, P., Menetrey, A., Glowinski, J., Thierry, A.M., Segregation and convergence of information flow through the cortico-subthalamic pathways. J. Neurosci. 21:15 (2001), 5764–5772.
83. Krienen, F.M., Yeo, B.T.T., Buckner, R.L., Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture. Phil. Trans. R. Soc. B: Biol. Sci., 369(1653), 2014.
84. Kringelbach, M.L., Jenkinson, N., Owen, S.L., Aziz, T.Z., Translational principles of deep brain stimulation. Nat. Rev. Neurosci. 8:8 (2007), 623–635.
85. Laumann, Timothy O.., Gordon Evan, M., Adeyemo, B., Snyder Abraham, Z., Joo Sung, J., Chen, M.-Y., Functional system and areal organization of a highly sampled individual human brain. Neuron 87:3 (2015), 657–670.
86. Luo, C.Y., Guo, X.Y., Song, W., Chen, Q., Cao, B., Yang, J., Functional connectome assessed using graph theory in drug-naive Parkinson's disease. J. Neurol. 262:6 (2015), 1557–1567.
87. Mahon, S., Deniau, J.M., Charpier, S., Corticostriatal plasticity: life after the depression. Trends Neurosci. 27:8 (2004), 460–467.
88. Markov, N.T., Ercsey-Ravasz, M., Lamy, C., Ribeiro Gomes, A.R., Magrou, L., Misery, P., The role of long-range connections on the specificity of the macaque interareal cortical network. Proc. Natl. Acad. Sci. U. S. A. 110:13 (2013), 5187–5192.
89. Markov, N.T., Ercsey-Ravasz, M., Van Essen, D.C., Knoblauch, K., Toroczkai, Z., Kennedy, H., Cortical high-density counterstream architectures. Science, 342(6158), 2013.
90. Markov, N.T., Ercsey-Ravasz, M.M., Ribeiro Gomes, A.R., Lamy, C., Magrou, L., Vezoli, J., A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cerebral Cortex (New York, NY: 1991 24:1 (2014), 17–36.
91. McColgan, P., Seunarine, K.K., Razi, A., Cole, J.H., Gregory, S., Durr, A., Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington's disease. Brain, 2015.
92. McFarland, N.R., Haber, S.N., Thalamic relay nuclei of the basal ganglia form both reciprocal and nonreciprocal cortical connections, linking multiple frontal cortical areas. J. Neurosci. 22:18 (2002), 8117–8132.
93. Mesulam, M., From sensation to cognition. Brain 121:6 (1998), 1013–1052.
94. Mišić, B., Goñi, J., Betzel, R.F., Sporns, O., McIntosh, A.R., Network convergence zone in the hippocampus. PLoS Comput. Biol., 10(12), 2014, e1003982.
95. Mišić, B., Betzel Richard, F., Nematzadeh, A., Goñi, J., Griffa, A., Hagmann, P., Cooperative and competitive spreading dynamics on the human connectome. Neuron 86:6 (2015), 1518–1529.
96. Middleton, F.A., Strick, P.L., Basal-ganglia ‘Projections’ to the prefrontal cortex of the primate. Cereb. Cortex 12:9 (2002), 926–935.
97. Modha, D.S., Singh, R., Network architecture of the long-distance pathways in the macaque brain. Proc. Natl. Acad. Sci. 107:30 (2010), 13485–13490.
98. Nauta, W.J.H., Smith, G.P., Faull, R.L.M., Domesick, V.B., Efferent connections and nigral afferents of the nucleus accumbens septi in the rat. Neuroscience 3:4-5 (1978), 385–401.
99. O'Callaghan, C., Bertoux, M., Hornberger, M., Beyond and below the cortex: the contribution of striatal dysfunction to cognition and behaviour in neurodegeneration. J. Neurol. Neurosurg. Psychiatry 85:4 (2014), 371–378.
100. O'Donnell, P., Grace, A.A., Synaptic interactions among excitatory afferents to nucleus accumbens neurons: hippocampal gating of prefrontal cortical input. J. Neurosci. 15:5 Pt 1 (1995), 3622–3639.
101. Oh, S.W., Harris, J.A., Ng, L., Winslow, B., Cain, N., Mihalas, S., A mesoscale connectome of the mouse brain. Nature 508:7495 (2014), 207–214.
102. Owen, J.P., Chang, Y.S., Mukherjee, P., Edge density imaging: mapping the anatomic embedding of the structural connectome within the white matter of the human brain. Neuroimage 109 (2015), 402–417.
103. Parvizi, J., Corticocentric myopia: old bias in new cognitive sciences. Trends Cogn. Sci. 13:8 (2009), 354–359.
104. Pauli, W.M., O'Reilly, R.C., Yarkoni, T., Wager, T.D., Regional specialization within the human striatum for diverse psychological functions. Proc. Natl Acad. Sci. U. S. A. 113 (2016), 1907–1912.
105. Pennartz, C.M., Berke, J.D., Graybiel, A.M., Ito, R., Lansink, C.S., van der Meer, M., Corticostriatal interactions during learning: memory processing, and decision making. J. Neurosci. 29:41 (2009), 12831–12838.
106. Percheron, G., Filion, M., Parallel processing in the basal ganglia: up to a point. Trends Neurosci. 14:2 (1991), 55–59.
107. Pessoa, L., Beyond brain regions: network perspective of cognition-emotion interactions. Behav. Brain Sci. 35:3 (2012), 158–159.
108. Pessoa, L., Understanding brain networks and brain organization. Phys. Life Rev. 11:3 (2014), 400–435.
109. Power, J.D., Petersen, S.E., Control-related systems in the human brain. Curr. Opin. Neurobiol. 23:2 (2013), 223–228.
110. Power, Jonathan D., Schlaggar Bradley, L., Lessov-Schlaggar Christina, N., Petersen Steven, E., Evidence for hubs in human functional brain networks. Neuron 79:4 (2013), 798–813.
111. Ross, C.A., Aylward, E.H., Wild, E.J., Langbehn, D.R., Long, J.D., Warner, J.H., Huntington disease: natural history, biomarkers and prospects for therapeutics. Nat. Rev. Neurol. 10:4 (2014), 204–216.
112. Rubinov, M., Ypma, R.J.F., Watson, C., Bullmore, E.T., Wiring cost and topological participation of the mouse brain connectome. Proc. Natl. Acad. Sci., 2015.
113. Saalmann, Y.B., Pinsk, M.A., Wang, L., Li, X., Kastner, S., The pulvinar regulates information transmission between cortical areas based on attention demands. Science 337:6095 (2012), 753–756.
114. Sang, L., Zhang, J., Wang, L., Zhang, J., Zhang, Y., Li, P., et al. Alteration of brain functional networks in early-stage Parkinson's disease: a resting-state fMRI study. PLoS One, 10(10), 2015, e0141815.
115. Scannell, J.W., Blakemore, C., Young, M.P., Analysis of connectivity in the cat cerebral cortex. J. Neurosci. 15:2 (1995), 1463–1483.
116. Schaefer, A., Burmann, I., Regenthal, R., Arélin, K., Barth, C., Pampel, A., Serotonergic modulation of intrinsic functional connectivity. Curr. Biol. 24:19 (2014), 2314–2318.
117. Schaefer, A., Margulies, D.S., Lohmann, G., Gorgolewski, K.J., Smallwood, J., Kiebel, S.J., et al. Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Front. Hum. Neurosci., 8(195), 2014.
118. Schultz, W., Dayan, P., Montague, P.R., A neural substrate of prediction and reward. Science 275:5306 (1997), 1593–1599.
119. Selemon, L.D., Goldman-Rakic, P.S., Reply. Trends Neurosci. 14:2 (1991), 56–59.
120. Senden, M., Deco, G., de Reus, M.A., Goebel, R., van den Heuvel, M.P., Rich club organization supports a diverse set of functional network configurations. Neuroimage 96 (2014), 174–182.
121. Sepulcre, J., Sabuncu, M.R., Yeo, B.T.T., Liu, H.S., Johnson, K.A., Stepwise connectivity of the modal cortex reveals the multimodal organization of the human brain. J. Neurosci. 32:31 (2012), 10649–10661.
122. Sesack, S.R., Grace, A.A., Cortico-basal ganglia reward network: microcircuitry. Neuropsychopharmacology 35:1 (2010), 27–47.
123. Shen, K., Hutchison, R.M., Bezgin, G., Everling, S., McIntosh, A.R., Network structure shapes spontaneous functional connectivity dynamics. J. Neurosci. 35:14 (2015), 5579–5588.
124. Shepard, G., Grillner, S., Handbook of brain microcircuits. 2010, Oxford University Press Inc.
125. Sherman, S.M., Guillery, R.W., Functional organization of thalamocortical relays. J. Neurophysiol. 76:3 (1996), 1367–1395.
126. Sherman, S.M., Guillery, R.W., Distinct functions for direct and transthalamic corticocortical connections. J. Neurophysiol. 106:3 (2011), 1068–1077.
127. Sherman, S.M., The thalamus is more than just a relay. Curr. Opin. Neurobiol. 17:4 (2007), 417–422.
128. Sporns, O., Discovering the Human Connectome. 2012.
129. Sporns, O., Network attributes for segregation and integration in the human brain. Curr. Opin. Neurobiol. 23:2 (2013), 162–171.
130. Stam, C.J., Modern network science of neurological disorders. Nat. Rev. Neurosci., 2014.
131. Surmeier, D.J., Ding, J., Day, M., Wang, Z., Shen, W., D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons. Trends Neurosci. 30:5 (2007), 228–235.
132. Theyel, B.B., Llano, D.A., Sherman, S.M., The corticothalamocortical circuit drives higher-order cortex in the mouse. Nat. Neurosci. 13:1 (2010), 84–88.
133. Tononi, G., Sporns, O., Edelman, G.M., A measure for brain complexity – relating functional segregation and integration in the nervous-System. Proc. Natl. Acad. Sci. U. S. A. 91:11 (1994), 5033–5037.
134. Tziortzi, A.C., Haber, S.N., Searle, G.E., Tsoumpas, C., Long, C.J., Shotbolt, P., et al. Connectivity-based functional analysis of dopamine release in the striatum using diffusion-weighted MRI and positron emission tomography. Cereb. Cortex (New York, NY: 1991) 24 (2014), 1165–1177.
135. van Hartevelt, T.J., Cabral, J., Deco, G., Moller, A., Green, A.L., Aziz, T.Z., et al. Neural plasticity in human brain connectivity: the effects of long term deep brain stimulation of the subthalamic nucleus in Parkinson's disease. PLoS One, 9(1), 2014, e86496.
136. van den Heuvel, M.P., Sporns, O., Rich-club organization of the human connectome. J. Neurosci. 31:44 (2011), 15775–15786.
137. van den Heuvel, M.P., Sporns, O., An anatomical substrate for integration among functional networks in human cortex. J. Neurosci. 33:36 (2013), 14489–14500.
138. van den Heuvel, M.P., Sporns, O., Network hubs in the human brain. Trends Cogn. Sci. 17:12 (2013), 683–696.
139. van den Heuvel, M.P., Kahn, R.S., Goni, J., Sporns, O., High-cost: high-capacity backbone for global brain communication. Proc. Natl. Acad. Sci. U. S. A. 109:28 (2012), 11372–11377.
140. van den Heuvel, M.P., de Reus, M.A., Feldman Barrett, L., Scholtens, L.H., Coopmans, F.M., Schmidt, R., Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome. Hum. Brain Mapp. 36:8 (2015), 3064–3075.
141. Vonsattel, J.P., Myers, R.H., Stevens, T.J., Ferrante, R.J., Bird, E.D., Richardson, E.P. Jr., Neuropathological classification of Huntington's disease. J. Neuropathol. Exp. Neurol. 44:6 (1985), 559–577.
142. Voytek, B., Knight, R.T., Dynamic network communication as a unifying neural basis for cognition: development, aging, and disease. Biol. Psychiatry 77:12 (2015), 1089–1097.
143. Warren, D.E., Power, J.D., Bruss, J., Denburg, N.L., Waldron, E.J., Sun, H., et al. Network measures predict neuropsychological outcome after brain injury. Proc. Natl. Acad. Sci. U. S. A., 2014.
144. Wickens, J.R., Reynolds, J.N., Hyland, B.I., Neural mechanisms of reward-related motor learning. Curr. Opin. Neurobiol. 13:6 (2003), 685–690.
145. Wilson, C., The contribution of cortical neurons to the firing pattern of striatal spiny neurons. Models of Information Processing in the Basal Ganglia, 1995, 29–50.
146. Yelnik, J., Percheron, G., Francois, C., A Golgi analysis of the primate globus pallidus: II. Quantitative morphology and spatial orientation of dendritic arborizations. J. Comp. Neurol. 227:2 (1984), 200–213.
147. Zalesky, A., Fornito, A., Cocchi, L., Gollo, L.L., Breakspear, M., Time-resolved resting-state brain networks. Proc. Natl. Acad. Sci., 2014.
148. Zamora-López, G., Zhou, C., Kurths, J., Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks. Front. Neuroinf., 4, 2010, 1.
149. Zamora-Lopez, G., Zhou, C., Kurths, J., Graph analysis of cortical networks reveals complex anatomical communication substrate. Chaos (Woodbury, NY), 19(1), 2009, 015117.
150. Zamora-Lopez, G., Zhou, C., Kurths, J., Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks. Front. Neuroinf., 4, 2010, 1.