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Exploring Oscillations in Expert Sensorimotor Anticipation: The Tennis Return of Serve

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Neuronal Oscillations of Wakefulness and Sleep

Abstract

In order to react quickly and precisely, multiple brain areas must interact using optimized mechanisms. Using a particular sports example, the return of serve in tennis—incarnated in the “Milos vs. Roger” duel—this chapter explores the modes of interaction between the involved brain structures, focusing on oscillations and their coherence. Based on multiple lines of evidence, during a reaction-time situation, various brain areas modify their local networks, and link distant networks together through coherent slow-wave activity, permitting to optimize communications. We review the oscillatory activity present in sensorimotor cortices, as well as in the basal ganglia and cerebellum, and posit how the oscillatory processes might interact in the whole brain during the delay when a service returner waits to initiate the movement. As the return of serve requires anticipatory skills, we attempt to link the anticipatory behavior to oscillatory activity, likely connecting the frontal and parietal lobes. Based on animal and human evidence, we admit to making educated guesses as to the brain wave activity during a tennis match: however, the exercise illustrates well the need, and the excitement, in developing more knowledge on the effects of movement expertise in the brain.

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References

  1. Makris S. Sport neuroscience revisited (?): a commentary. Front Hum Neurosci. 2014;8:929.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Walsh V. Is sport the brain’s biggest challenge? Curr Biol. 2014;24:R859–60.

    Article  CAS  PubMed  Google Scholar 

  3. Foster Wallace D. Federer as a religious experience. The New York Times; 2006.

    Google Scholar 

  4. Rowland TW. The athlete’s clock: how biology and time affect sports performance. Champaign, IL: Human Kinetics; 2011.

    Book  Google Scholar 

  5. Partnoy F. Wait: the art and science of delay. Philadelphia, PA: Public Affairs Books; 2012.

    Google Scholar 

  6. Abernethy B, Russell DG. The relationship between expertise and visual search strategy in a racquet sport. Hum Mov Sci. 1987;6:283–319.

    Article  Google Scholar 

  7. Abernethy B. Visual search strategies and decision-making in sport. Int J Sport Psychol. 1991;22:189–210.

    Google Scholar 

  8. Abernethy B, Gill DP, Parks SL, Packer ST. Expertise and the perception of kinematic and situational probability information. Perception. 2001;30:233–52.

    Article  CAS  PubMed  Google Scholar 

  9. Farrow D, Abernethy B. Do expertise and the degree of perception-action coupling affect natural anticipatory performance? Perception. 2003;32:1127–39.

    Article  PubMed  Google Scholar 

  10. Farrow D, Abernethy B, Jackson RC. Probing expert anticipation with the temporal occlusion paradigm: experimental investigations of some methodological issues. Mot Control. 2005;9:332–51.

    Google Scholar 

  11. Ripoll H. Le mental des champions. Paris: Payot-Rivages; 2008.. [in French]

    Google Scholar 

  12. Connors J, LaMarche RJ. How to play tougher tennis. New York: Golf Digest/Tennis Inc.; 1986.

    Google Scholar 

  13. Burwash P, Tullius J. Total tennis. New York: Macmillan; 1989.

    Google Scholar 

  14. Triolet C. The different natures of tennis anticipation: From quantification to perceptive learning. Ph.D. thesis. Paris: Université Paris Sud–Paris XI; 2012. p. 159.

    Google Scholar 

  15. Triolet C, Benguigui N, Le Runigo C, Williams AM. Quantifying the nature of anticipation in professional tennis. J Sports Sci. 2013;31:820–30.

    Article  PubMed  Google Scholar 

  16. Hodgkinson M. Fedegraphica. London: Aurum Press; 2016.

    Google Scholar 

  17. Ashe A, McNab A. Arthur Ashe on tennis. New York: Avon Books; 1995.

    Google Scholar 

  18. Collins B, Hollander Z. Bud Collins’ tennis encyclopedia. Detroit, MI: Visible Ink Press; 1997.

    Google Scholar 

  19. Abernethy B, Hanrahan SJ, Kippers V, Mackinnon LT, Pandy MG. The biophysical foundations of human movement. Champaign, IL: Human Kinetics; 2005.

    Google Scholar 

  20. Denis D, Rowe R, Williams AM, Milne E. The role of cortical sensorimotor oscillations in action anticipation. NeuroImage. 2017;146:1102–14.

    Article  PubMed  Google Scholar 

  21. Cisek P, Kalaska JF. Neural mechanisms for interacting with a world full of action choices. Ann Rev Neurosci. 2010;33:269–98.

    Article  CAS  PubMed  Google Scholar 

  22. Buzsaki G. Rhythms of the brain. New York: Oxford University Press; 2006.

    Book  Google Scholar 

  23. Moser E, Corbetta M, Desimone R, Frégnac Y, Fries P, Graybiel AM, et al. Coordination in brain systems. In: von der Marlsburg C, et al., editors. Dynamic coordination in the brain: from neurons to mind. Cambridge, MA: MIT Press; 2010. p. 193–214.

    Chapter  Google Scholar 

  24. Buzsaki G, Watson BO. Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease. Dialogues Clin Neurosci. 2012;14:345–67.

    PubMed  PubMed Central  Google Scholar 

  25. Buzsaki G, Draguhn A. Neuronal oscillations in cortical networks. Science. 2004;304:1926–9.

    Article  CAS  PubMed  Google Scholar 

  26. Laurent G. Dynamical representation of odors by oscillating and evolving neural assemblies. Trends Neurosci. 1996;19:489–96.

    Article  CAS  PubMed  Google Scholar 

  27. Roelfsema PR, Engel AK, König P, Singer W. Visuomotor integration is associated with zero time-lag synchronization among cortical areas. Nature. 1997;385:157–61.

    Article  CAS  PubMed  Google Scholar 

  28. Schnitzler A, Gross J. Normal and pathological oscillatory communication in the brain. Nat Rev Neurosci. 2005;6:285–96.

    Article  CAS  PubMed  Google Scholar 

  29. Akam T, Kullmann DM. Oscillations and filtering networks support flexible routing of information. Neuron. 2010;67:308–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Buzsaki G, Logothetis N, Singer W. Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Neuron. 2013;80:751–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Bressler SL, Richter CG. Interareal oscillatory synchronization in top-down neocortical processing. Curr Opin Neurobiol. 2015;31:62–6.

    Article  CAS  PubMed  Google Scholar 

  32. Morillon B, Hackett TA, Kajikawa Y, Schroeder CE. Predictive motor control of sensory dynamics in auditory active sensing. Curr Opin Neurobiol. 2015;31:230–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Keele SW, Cohen A, Ivry RB, Jeannerod M. Motor programs: concepts and issues. In: Attention and performance XIII motor representation and control. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.; 1990. p. 77–110.

    Google Scholar 

  34. Paillard J. The cognitive penetrability of sensorimotor mechanisms: a key problem in sport research. Int J Sport Psychol. 1991;22:244–50.

    Google Scholar 

  35. Yarrow K, Brown P, Krakauer JW. Inside the brain of an elite athlete: the neural processes that support high achievement in sports. Nat Rev Neurosci. 2009;10:585–96.

    Article  CAS  PubMed  Google Scholar 

  36. Cisek P, Pastor-Bernier A. On the challenges and mechanisms of embodied decisions. Philos Trans R Soc Lond Ser B Biol Sci. 2014;369(1655). pii: 20130479.

    Article  Google Scholar 

  37. Decety J, Sjîholm H, Ryding E, Stenberg G, Ingvar DH. The cerebellum participates in mental activity: tomographic measurements of regional cerebral blood flow. Brain Res. 1990;535:313–7.

    Article  CAS  PubMed  Google Scholar 

  38. Ryding E, Decety J, Sjîholm H, Stenberg G, Ingvar DH. Motor imagery activates the cerebellum regionally. A SPECT rCBF study with 99m Tc-HMPAO. Brain Res Cogn Brain Res. 1993;1:94–9.

    Article  CAS  PubMed  Google Scholar 

  39. Cacioppo S, Fontang F, Patel N, Decety J, Monteleone G, Cacioppo JT. Intention understanding over T: a neuroimaging study on shared representations and tennis return predictions. Front Hum Neurosci. 2014;8:781.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Zeki S, Shipp S. The functional logic of cortical connections. Nature. 1988;335:311–7.

    Article  CAS  PubMed  Google Scholar 

  41. Zeki S. A vision of the brain. Oxford: Blackwell Scientific; 1993.

    Google Scholar 

  42. Goldberg ME, Wurtz RH. Visual processing and action. In: Kandel ER, Schwartz JH, Jessell TM, editors. Principles of neural science. New York: McGraw-Hill; 2013. p. 638–53.

    Google Scholar 

  43. Series P, Seitz AR. Learning what to expect (in visual perception). Front Hum Neurosci. 2013;7:668.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Newsome WT. The King Solomon Lectures in Neuroethology. Deciding about motion: linking perception to action. J Comp Physiol A. 1997;181(1):5–12.

    Article  CAS  PubMed  Google Scholar 

  45. Rizzolatti G, Fogassi L, Gallese V. Parietal cortex: from sight to action. Curr Opin Neurobiol. 1997;7:562–7.

    Article  CAS  PubMed  Google Scholar 

  46. Rizzolatti G, Strick PL. Cognitive functions of the premotor systems. In: Kandel ER, Schwartz JH, Jessell TM, editors. Principles of neural science. New York: McGraw-Hill; 2013. p. 412–25.

    Google Scholar 

  47. Mountcastle VB. The parietal system and some higher brain functions. Cereb Cortex. 1995;5:377–90.

    Article  CAS  PubMed  Google Scholar 

  48. Graziano MSA, Cooke DF, Taylor CSR. Coding the location of the arm by sight. Science. 2000;290:1782–6.

    Article  CAS  PubMed  Google Scholar 

  49. Rizzolatti G, Kalaska JF. Voluntary movement: the parietal and premotor cortex. In: Kandel ER, Schwartz JH, Jessell TM, editors. Principles of neural science. New York: McGraw-Hill; 2013. p. 864–93.

    Google Scholar 

  50. Bizzi E, Cheung VCK, d’Avella A, Saltiel P, Tresch M. Combining modules for movement. Brain Res Brain Res Rev. 2008;57:125–33.

    Article  CAS  Google Scholar 

  51. Reid M, Crespo M, Farrow D. Learning the game. In: Elliott B, Reid M, Crespo M, editors. Tennis science. Chicago, IL: The University of Chicago Press; 2015. p. 12–31.

    Google Scholar 

  52. Saviano N, McNab A. How to improve your anticipation. Tennis. 1996;32(1):38–43.

    Google Scholar 

  53. Agassi A, Weathers E. You can learn the secrets of my return. Tennis. 1997;33:38–43.

    Google Scholar 

  54. O’Connell T. Visual information processing: tennis volleying strategy. M.Sc. thesis, Université Laval; 1997. p. 33.

    Google Scholar 

  55. Cayer L. Retour de service. Tennis-Mag. 1996;35:8–9.

    Google Scholar 

  56. Goulet C, Fleury M, Bard C, Yerlès M, Michaud D, Lemire L. Analyse des indices visuels preleves en reception de service au tennis. Can J Sport Sci. 1988;13:79–87.. [in French]

    CAS  PubMed  Google Scholar 

  57. Goulet C, Bard C, Fleury M. Expertise differences in preparing to return a tennis serve: a visual information processing approach. J Sport Exercise Psychol. 1989;11(4):382–98.

    Article  Google Scholar 

  58. Abernethy B, Zawi K, Jackson RC. Expertise and attunement to kinematic constraints. Perception. 2008;37:931–48.

    Article  PubMed  Google Scholar 

  59. Sekuler R, Sekuler AB, Lau R. Sound alters visual motion perception. Nature. 1997;385:308.

    Article  CAS  PubMed  Google Scholar 

  60. Paulin MG. The role of the cerebellum in motor control and perception. Brain Behav Evol. 1993;41:39–50.

    Article  CAS  PubMed  Google Scholar 

  61. Courchesne E, Allen G. Prediction and preparation, fundamental functions of the cerebellum. Learn Mem. 1997;4:1–35.

    Article  CAS  PubMed  Google Scholar 

  62. Wolpert DM, Miall RC, Kawato M. Internal models in the cerebellum. Trends Cogn Sci. 1998;2:338–47.

    Article  CAS  PubMed  Google Scholar 

  63. Llinás RR. I of the vortex. Cambridge, MA: MIT Press; 2001.

    Book  Google Scholar 

  64. Courtemanche R, Frederick A. A spatiotemporal hypothesis on the role of 4- to 25-Hz field potential oscillations in cerebellar cortex. In: Heck D, editor. The neuronal codes of the cerebellum. London: Academic Press; 2015. p. 219–38.

    Google Scholar 

  65. Ahissar E, Assa E. Perception as a closed-loop convergence process. eLife. 2016;5:1–26.

    Article  Google Scholar 

  66. Bower JM, Schmahmann JD. Control of sensory data acquisition. In: The cerebellum and cognition–international review of neurobiology, vol. 41. San Diego: Academic Press; 1997. p. 489–513.

    Google Scholar 

  67. Livingstone MS, Hubel DH. Segregation of form, color, movement, and depth: anatomy, physiology, and perception. Science. 1998;240:740–9.

    Article  Google Scholar 

  68. Stein J. Visual motion sensitivity and reading. Neuropsychologia. 2003;41:1785–93.

    Article  PubMed  Google Scholar 

  69. Mishkin M, Ungerleider LG, Macko KA. Object vision and spatial vision: two cortical pathways. Trends Neurosci. 1983;6:414–7.

    Article  Google Scholar 

  70. Goodale MA, Milner AD. Separate visual pathways for perception and action. Trends Neurosci. 1992;15:20–5.

    Article  CAS  PubMed  Google Scholar 

  71. Goodale MA. Visual pathways supprting perception and action in the primate cerebral cortex. Curr Opin Neurobiol. 1993;3:578–85.

    Article  CAS  PubMed  Google Scholar 

  72. Maunsell JHR. Functional visual streams. Curr Opin Neurobiol. 1993;2:506–10.

    Article  Google Scholar 

  73. Maunsell JHR. The brain’s visual world: representation of visual targets in cerebral cortex. Science. 1995;270:764–9.

    Article  CAS  PubMed  Google Scholar 

  74. Corbetta M, Miezin FM, Dobmeyer S, Shulman GL, Petersen SE. Selective and divided attention during visual discriminations of shape, color, and speed: functional anatomy by positron emission tomography. J Neurosci. 1991;11:2383–402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Watanabe T, Sasaki Y, Miyauchi S, Putz B, Fujimaki N, Nielsen M, et al. Attention-regulated activity in human primary visual cortex. J Neurophysiol. 1998;79:2218–21.

    Article  CAS  PubMed  Google Scholar 

  76. Kravitz DJ, Saleem KS, Baker CI, Mishkin M. A new neural framework for visuospatial processing. Nat Rev Neurosci. 2011;12:217–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Usrey WM, Reid RC. Synchronous activity in the visual system. Annu Rev Physiol. 1999;61:435–56.

    Article  CAS  PubMed  Google Scholar 

  78. Briggs F, Usrey WM. Patterned activity within the local cortical architecture. Front Neurosci. 2010;4:18.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Gray CM, Kînig P, Engel AK, Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature. 1989;338:334–7.

    Article  CAS  PubMed  Google Scholar 

  80. Singer W. Synchronization of cortical activity and its putative role in information processing and learning. Annu Rev Physiol. 1993;55:349–74.

    Article  CAS  PubMed  Google Scholar 

  81. Singer W, Koch C, Davis JL. Putative functions of temporal correlations in neocortical processing. In: Koch C, Davis JL, editors. Large-scale neuronal theories of the brain. Cambridge, MA: MIT Press; 1994. p. 201–37.

    Google Scholar 

  82. Singer W, Gray CM. Visual feature integration and the temporal correlation hypothesis. Ann Rev Neurosci. 1995;18:555–86.

    Article  CAS  PubMed  Google Scholar 

  83. Engel AK, Singer W. Temporal binding and the neural correlates of sensory awareness. Trends Cogn Sci. 2001;5:16–25.

    Article  PubMed  Google Scholar 

  84. Treisman A. The binding problem. Curr Opin Neurobiol. 1996;6:171–8.

    Article  CAS  PubMed  Google Scholar 

  85. Crick F. The astonishing hypothesis. London: Simon & Schuster; 1994.

    Google Scholar 

  86. Engel AK, Fries P, Singer W. Dynamic predictions: oscillations and synchrony in top-down processing. Nat Rev Neurosci. 2001;2:704–16.

    Article  CAS  PubMed  Google Scholar 

  87. Arnal LH, Giraud AL. Cortical oscillations and sensory predictions. Trends Cogn Sci. 2012;16:390–8.

    Article  PubMed  Google Scholar 

  88. Gardner EP, Johnson KO. Touch. In: Kandel ER, Schwartz JH, Jessell TM, Siegelbaum SA, Hudspeth AJ, editors. Principles of neural science. New York: McGraw-Hill; 2013. p. 498–529.

    Google Scholar 

  89. McCloskey DI, Prochazka A. The role of sensory information in the guidance of voluntary movement: reflections on a symposium held at the 22nd annual meeting of the Society for Neuroscience. Somatosens Mot Res. 1994;11:69–76.

    Article  CAS  PubMed  Google Scholar 

  90. Roy S, Alloway KD. Stimulus-induced increases in the synchronization of local neural networks in the somatosensory cortex: a comparison of stationary and moving stimuli. J Neurophysiol. 1999;81:999–1013.

    Article  CAS  PubMed  Google Scholar 

  91. Bardouille T, Picton TW, Ross B. Attention modulates beta oscillations during prolonged tactile stimulation. Eur J Neurosci. 2010;31:761–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Rossiter HE, Worthen SF, Witton C, Hall SD, Furlong PL. Gamma oscillatory amplitude encodes stimulus intensity in primary somatosensory cortex. Front Hum Neurosci. 2013;7:362.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  93. Schroeder CE, Lakatos P. Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci. 2009;32:9–18.

    Article  CAS  PubMed  Google Scholar 

  94. Cardin JA, Carlen M, Meletis K, Knoblich U, Zhang F, Deisseroth K, et al. Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature. 2009;459:663–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Sumiyoshi A, Suzuki H, Ogawa T, Riera JJ, Shimokawa H, Kawashima R. Coupling between gamma oscillation and fMRI signal in the rat somatosensory cortex: its dependence on systemic physiological parameters. NeuroImage. 2012;60:738–46.

    Article  PubMed  Google Scholar 

  96. Cisek P, Kalaska JF. Simultaneous encoding of multiple potential reach directions in dorsal premotor cortex. J Neurophysiol. 2002;87:1149–54.

    Article  PubMed  Google Scholar 

  97. Ebner TJ, Hendrix CM, Pasalar S. Past, present, and emerging principles in the neural encoding of movement. Adv Exp Med Biol. 2009;629:127–37.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Miller EK. The prefrontal cortex: complex neural properties for complex behavior. Neuron. 1999;22:15–7.

    Article  CAS  PubMed  Google Scholar 

  99. Buschman TJ, Miller EK. Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science. 2007;315:1860–2.

    Article  CAS  PubMed  Google Scholar 

  100. Dubois B, Pillon B, Sirigu A, Seron X, Jeannerod M. Fonctions intégratrices et cortex préfrontal chez l’Homme. In: Neuropsychologie humaine. Liège, Belgium: Mardaga; 1994. p. 452–69.

    Google Scholar 

  101. Wise SP, Evarts EV, Bousfield D. The role of the cerebral cortex in movement. In: The motor system in neurobiology. Amsterdam: Elsevier; 1985. p. 307–14.

    Google Scholar 

  102. Fetz EE, Patton HD, Fuchs AF, Hille B, Scher AM, Steiner R. Motor functions of cerebral cortex. In: Textbook of physiology, vol. 1. Philadelphia: W.B. Saunders; 1989. p. 608–31.

    Google Scholar 

  103. Kalaska JF, Drew T. Motor cortex and visuomotor behavior. Exerc Sport Sci Rev. 1993;21:397–436.

    Article  CAS  PubMed  Google Scholar 

  104. Basar E, Basar-Eroglu C, Karakas S, Schurmann M. Gamma, alpha, delta, and theta oscillations govern cognitive processes. Int J Psychophysiol. 2001;39:241–8.

    Article  CAS  PubMed  Google Scholar 

  105. Del Percio C, Babiloni C, Marzano N, Iacoboni M, Infarinato F, Vecchio F, et al. “Neural efficiency” of athletes’ brain for upright standing: a high-resolution EEG study. Brain Res Bull. 2009;79:193–200.

    Article  PubMed  Google Scholar 

  106. Kayser SJ, McNair SW, Kayser C. Prestimulus influences on auditory perception from sensory representations and decision processes. Proc Natl Acad Sci U S A. 2016;113:4842–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. MacKay WA. Synchronized neuronal oscillations and their role in motor processes. Trends Cogn Sci. 1997;1:176–83.

    Article  CAS  PubMed  Google Scholar 

  108. Murthy V, Fetz EE. Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys. Proc Natl Acad Sci U S A. 1992;89:5670–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Sanes JN, Donoghue JP. Oscillations in local field potentials of the primate motor cortex during voluntary movement. Proc Natl Acad Sci U S A. 1993;90:4470–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Murthy V, Fetz EE. Oscillatory activity in sensorimotor cortex of awake monkeys: synchronization of local field potentials and relation to behavior. J Neurophysiol. 1996;76:3949–67.

    Article  CAS  PubMed  Google Scholar 

  111. Donoghue JP, Sanes JN, Hatsopoulos NG, Gaál G. Neural discharge and local field potential oscillations in primate motor cortex during voluntary movement. J Neurophysiol. 1998;79:159–73.

    Article  CAS  PubMed  Google Scholar 

  112. Miller KJ, Hermes D, Honey CJ, Hebb AO, Ramsey NF, Knight RT, et al. Human motor cortical activity is selectively phase-entrained on underlying rhythms. PLoS Comput Biol. 2012;8:e1002655.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Murthy V, Fetz EE. Synchronization of neurons during local field potential oscillations in sensorimotor cortex of awake monkeys. J Neurophysiol. 1996;76:3968–82.

    Article  CAS  PubMed  Google Scholar 

  114. Churchland MM, Cunningham JP, Kaufman MT, Foster JD, Nuyujukian P, Ryu SI, et al. Neural population dynamics during reaching. Nature. 2012;487:51–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  115. Baker SN, Olivier E, Lemon RN. Coherent oscillations in monkey motor cortex and hand muscle EMG show task-dependent modulation. J Physiol (London). 1997;501:225–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  116. Lemon RN. Mechanisms of cortical control of hand function. Neuroscientist. 1997;3:389–98.

    Article  Google Scholar 

  117. Baker SN, Pinches EM, Lemon RN. Synchronization in monkey motor cortex during a precision grip task. II. Effect of oscillatory activity on corticospinal output. J Neurophysiol. 2003;89:1941–53.

    Article  PubMed  Google Scholar 

  118. Schoffelen JM, Oostenveld R, Fries P. Neuronal coherence as a mechanism of effective corticospinal interaction. Science. 2005;308:111–3.

    Article  CAS  PubMed  Google Scholar 

  119. Rowland NC, Goldberg JA, Jaeger D. Cortico-cerebellar coherence and causal connectivity during slow-wave activity. Neuroscience. 2010;166:698–711.

    Article  CAS  PubMed  Google Scholar 

  120. Watson TC, Becker N, Apps R, Jones MW. Back to front: cerebellar connections and interactions with the prefrontal cortex. Front Syst Neurosci. 2014;8:4.

    Article  PubMed  PubMed Central  Google Scholar 

  121. Bastian AJ. Learning to predict the future: the cerebellum adapts feedforward movement control. Curr Opin Neurobiol. 2006;16:645–9.

    Article  CAS  PubMed  Google Scholar 

  122. Ito M. Cerebellar circuitry as a neuronal machine. Prog Neurobiol. 2006;78:272–303.

    Article  PubMed  Google Scholar 

  123. Barnes TD, Kubota Y, Hu D, Jin DZ, Graybiel AM. Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories. Nature. 2005;437:1158–61.

    Article  CAS  PubMed  Google Scholar 

  124. Graybiel AM. Habits, rituals, and the evaluative brain. Ann Rev Neurosci. 2008;31:359–87.

    Article  CAS  PubMed  Google Scholar 

  125. Graybiel AM. Templates for neural dynamics in the striatum: striosomes and matrisomes. In: Shepherd GM, Grillner S, editors. Handbook of brain microcircuits. New York: Oxford University Press; 2010. p. 120–6.

    Chapter  Google Scholar 

  126. Graybiel AM, Aosaki T, Flaherty AW, Kimura M. The basal ganglia and adaptive motor control. Science. 1994;265:1826–31.

    Article  CAS  PubMed  Google Scholar 

  127. Graybiel AM. Building action repertoires: memory and learning functions of the basal ganglia. Curr Opin Neurobiol. 1995;5:733–41.

    Article  CAS  PubMed  Google Scholar 

  128. Graybiel AM. The basal ganglia and cognitive pattern generators. Schizophr Bull. 1997;23:459–69.

    Article  CAS  PubMed  Google Scholar 

  129. Aldridge JW, Berridge KC. Coding of serial order by neostriatal neurons: a “natural action” approach to movement sequence. J Neurosci. 1998;18:2777–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  130. Morissette J, Bower JM. Contribution of somatosensory cortex to responses in the rat cerebellar granule cell layer following peripheral tactile stimulation. Exp Brain Res. 1996;109:240–50.

    Article  CAS  PubMed  Google Scholar 

  131. Proville RD, Spolidoro M, Guyon N, Dugue GP, Selimi F, Isope P, et al. Cerebellum involvement in cortical sensorimotor circuits for the control of voluntary movements. Nat Neurosci. 2014;17:1233–9.

    Article  CAS  PubMed  Google Scholar 

  132. Graybiel AM. The basal ganglia. Curr Biol. 2000;10:R509–11.

    Article  CAS  PubMed  Google Scholar 

  133. Middleton FA, Strick PL. Basal ganglia and cerebellar loops: motor and cognitive circuits. Brain Res Brain Res Rev. 2000;31:236–50.

    Article  CAS  PubMed  Google Scholar 

  134. Bloedel JR, Courville J, Brooks VB. Cerebellar afferent systems. In: Handbook of physiology; section 1: the nervous system; volume II: motor control, part 2. Bethesda, MD: American Physiological Society; 1981. p. 735–829.

    Google Scholar 

  135. Brodal P, Bjaalie JG, de Zeeuw CI, Strata P, Voogd J. Salient anatomic features of the cortico-ponto-cerebellar pathway. In: De Zeeuw CI, Strata P, Voogd J, editors. Progress in brain research: the cerebellum: from structure to control, vol. 114. Amsterdam: Elsevier Science BV; 1997. p. 227–49.

    Chapter  Google Scholar 

  136. Schmahmann JD, Pandya DN. The cerebrocerebellar system. In: The cerebellum and cognition—international review of neurobiology, vol. 41. San Diego: Academic Press; 1997. p. 31–60.

    Google Scholar 

  137. Strick PL, Dum RP, Fiez JA. Cerebellum and nonmotor function. Ann Rev Neurosci. 2009;32:413–34.

    Article  CAS  PubMed  Google Scholar 

  138. Bostan AC, Strick PL. The basal ganglia and the cerebellum: nodes in an integrated network. Nat Rev Neurosci. 2018;19:338–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  139. Alexander GE, DeLong MR, Crutcher MD. Do cortical areas and basal ganglionic motor areas use “motor programs” to control movement? Behav Brain Sci. 1992;15:656–65.

    Article  Google Scholar 

  140. Dijkerman HC, de Haan EHF. Somatosensory processes subserving perception and action. Behav Brain Res. 2007;30:189–239.

    Google Scholar 

  141. Ahissar E, Haidarliu S, Zacksenhouse M. Decoding temporally encoded sensory input by cortical oscillations and thalamic phase comparators. Proc Natl Acad Sci U S A. 1997;94:11633–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  142. Hutchison WD, Dostrovsky JO, Walters JR, Courtemanche R, Boraud T, Goldberg J, et al. Neuronal oscillations in the basal ganglia and movement disorders: evidence from whole animal and human recordings. J Neurosci. 2004;24:9240–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  143. Courtemanche R, Robinson JC, Aponte DI. Linking oscillations in cerebellar circuits. Front Neural Circuits. 2013;7:125.

    Article  PubMed  PubMed Central  Google Scholar 

  144. Llinás RR, Humphrey DR, Freund HJ. The noncontinuous nature of movement execution. In: Motor control: concepts and issues. Chichester, England: Wiley; 1991. p. 223–42.

    Google Scholar 

  145. Welsh JP, Llinas R. Some organizing principles for the control of movement based on olivocerebellar physiology. Prog Brain Res. 1997;114:449–61.

    Article  CAS  PubMed  Google Scholar 

  146. Lang EJ, Sugihara I, Welsh JP, Llinás R. Patterns of spontaneous Purkinje cell complex spike activity in the awake rat. J Neurosci. 1999;19:2728–39.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  147. Jacobson GA, Lev I, Yarom Y, Cohen D. Invariant phase structure of olivo-cerebellar oscillations and its putative role in temporal pattern generation. Proc Natl Acad Sci U S A. 2009;106:3579–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  148. Llinás RR. Inferior olive oscillation as the temporal basis for motricity and oscillatory reset as the basis for motor error correction. Neuroscience. 2009;162:797–804.

    Article  PubMed  CAS  Google Scholar 

  149. Pellerin JP, Lamarre Y. Local field potential oscillations in primate cerebellar cortex during voluntary movement. J Neurophysiol. 1997;78:3502–7.

    Article  CAS  PubMed  Google Scholar 

  150. Hartmann MJ, Bower JM. Oscillatory activity in the cerebellar hemispheres of unrestrained rats. J Neurophysiol. 1998;80:1598–604.

    Article  CAS  PubMed  Google Scholar 

  151. Courtemanche R, Pellerin JP, Lamarre Y. Local field potential oscillations in primate cerebellar cortex: modulation during active and passive expectancy. J Neurophysiol. 2002;88:771–82.

    Article  PubMed  Google Scholar 

  152. O’Connor S, Berg RW, Kleinfeld D. Coherent electrical activity between vibrissa sensory areas of cerebellum and neocortex is enhanced during free whisking. J Neurophysiol. 2002;87:2137–48.

    Article  PubMed  Google Scholar 

  153. Courtemanche R, Chabaud P, Lamarre Y. Synchronization in primate cerebellar granule cell layer local field potentials: basic anisotropy and dynamic changes during active expectancy. Front Cell Neurosci. 2009;3:6.

    Article  PubMed  PubMed Central  Google Scholar 

  154. Dugué GP, Brunel N, Hakim V, Schwartz EJ, Chat M, Lévesque M, et al. Electrical coupling mediates tunable low-frequency oscillations and resonance in the cerebellar Golgi cell network. Neuron. 2009;61:126–39.

    Article  PubMed  CAS  Google Scholar 

  155. Cheron G, Servais L, Dan B, Gall D, Roussel C, Schiffmann SN. Fast oscillation in the cerebellar cortex of calcium binding protein-deficient mice: a new sensorimotor arrest rhythm. Prog Brain Res. 2005;148:165–80.

    Article  PubMed  Google Scholar 

  156. de Solages C, Szapiro G, Brunel N, Hakim V, Isope P, Buisseret P, et al. High-frequency organization and synchrony of activity in the Purkinje cell layer of the cerebellum. Neuron. 2008;58:775–88.

    Article  PubMed  CAS  Google Scholar 

  157. D’Angelo E, Koekkoek SK, Lombardo P, Solinas S, Ros E, Garrido J, et al. Timing in the cerebellum: oscillations and resonance in the granular layer. Neuroscience. 2009;162:805–15.

    Article  PubMed  CAS  Google Scholar 

  158. De Zeeuw CI, Hoebeek FE, Bosman LW, Schonewille M, Witter L, Koekkoek SK. Spatiotemporal firing patterns in the cerebellum. Nat Rev Neurosci. 2011;12:327–44.

    Article  PubMed  CAS  Google Scholar 

  159. Welsh JP, Lang EJ, Sugihara I, Llinás R. Dynamic organization of motor control within the olivocerebellar system. Nature. 1995;374:453–7.

    Article  CAS  PubMed  Google Scholar 

  160. Jacobson GA, Rokni D, Yarom Y. A model of the olivo-cerebellar system as a temporal pattern generator. Trends Neurosci. 2008;31:617–25.

    Article  CAS  PubMed  Google Scholar 

  161. Courtemanche R, Lamarre Y. Local field potential oscillations in primate cerebellar cortex: synchronization with cerebral cortex during active and passive expectancy. J Neurophysiol. 2005;93:2039–52.

    Article  PubMed  Google Scholar 

  162. Heck DH, Thach WT, Keating JG. On-beam synchrony in the cerebellum as the mechanism for the timing and coordination of movement. Proc Natl Acad Sci U S A. 2007;104:7658–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  163. Courtemanche R, Fujii N, Graybiel AM. Synchronous, focally modulated beta-band oscillations characterize local field potential activity in the striatum of awake behaving monkeys. J Neurosci. 2003;23:11741–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  164. Berke JD, Okatan M, Skurski J, Eichenbaum HB. Oscillatory entrainment of striatal neurons in freely moving rats. Neuron. 2004;43:883–96.

    Article  CAS  PubMed  Google Scholar 

  165. Boraud T, Brown P, Goldberg J, Graybiel AM, Magill PJ, Bolam JP, et al. Oscillations in the basal ganglia: the good, the bad, and the unexpected. In: The basal ganglia VIII. New York: Springer; 2005. p. 3–24.

    Google Scholar 

  166. DeCoteau WE, Thorn C, Gibson DJ, Courtemanche R, Mitra P, Kubota Y, et al. Learning-related coordination of striatal and hippocampal theta rhythms during acquisition of a procedural maze task. Proc Natl Acad Sci U S A. 2007;104:5644–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  167. Tort AB, Kramer MA, Thorn C, Gibson DJ, Kubota Y, Graybiel AM, et al. Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Natl Acad Sci U S A. 2008;105:20517–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  168. Howe MW, Atallah HE, McCool A, Gibson DJ, Graybiel AM. Habit learning is associated with major shifts in frequencies of oscillatory activity and synchronized spike firing in striatum. Proc Natl Acad Sci U S A. 2011;108:16801–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  169. Gatev P, Darbin O, Wichmann T. Oscillations in the basal ganglia under normal conditions and in movement disorders. Mov Disord. 2006;21:1566–77.

    Article  PubMed  Google Scholar 

  170. Hammond C, Bergman H, Brown P. Pathological synchronization in Parkinson’s disease: networks, models and treatments. Trends Neurosci. 2007;30:357–64.

    Article  CAS  PubMed  Google Scholar 

  171. Deuschl G, Elble RJ. The pathophysiology of essential tremor. Neurology. 2000;54(Suppl 4):S14–20.

    CAS  PubMed  Google Scholar 

  172. Brittain JS, Sharott A, Brown P. The highs and lows of beta activity in cortico-basal anglia loops. Eur J Neurosci. 2014;39:1951–9.

    Article  PubMed  PubMed Central  Google Scholar 

  173. Yael D, Zeef DH, Sand D, Moran A, Katz DB, Cohen D, et al. Haloperidol-induced changes in neuronal activity in the striatum of the freely moving rat. Front Syst Neurosci. 2013;7:110.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  174. Brazhnik E, Novikov N, McCoy AJ, Cruz AV, Walters JR. Functional correlates of exaggerated oscillatory activity in basal ganglia output in hemiparkinsonian rats. Exp Neurol. 2014;261:563–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  175. DeCoteau WE, Thorn C, Gibson DJ, Courtemanche R, Mitra P, Kubota Y, et al. Oscillations of local field potentials in the rat dorsal striatum during spontaneous and instructed behaviors. J Neurophysiol. 2007;97:3800–5.

    Article  PubMed  Google Scholar 

  176. Lemaire N, Hernandez LF, Hu D, Kubota Y, Howe MW, Graybiel AM. Effects of dopamine depletion on LFP oscillations in striatum are task- and learning-dependent and selectively reversed by L-DOPA. Proc Natl Acad Sci U S A. 2012;109:18126–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  177. Magill PJ, Sharott A, Bolam JP, Brown P. Brain state-dependence of coherent oscillatory activity in the cerebral cortex and basal ganglia of the rat. J Neurophysiol. 2004;92:2122–36.

    Article  PubMed  Google Scholar 

  178. von Nicolai C, Engler G, Sharott A, Engel AK, Moll CK, Siegel M. Corticostriatal coordination through coherent phase-amplitude coupling. J Neurosci. 2014;34:5938–48.

    Article  CAS  Google Scholar 

  179. Raz A, Frechter-Mazar V, Feingold A, Abeles M, Vaadia E, Bergman H. Activity of pallidal and striatal tonically active neurons is correlated in MPTP-treated monkeys but not in normal monkeys. J Neurosci. 2001;21(RC128):1–5.

    Google Scholar 

  180. Mallet N, Pogosyan A, Sharott A, Csicsvari J, Bolam JP, Brown P, et al. Disrupted dopamine transmission and the emergence of exaggerated beta oscillations in subthalamic nucleus and cerebral cortex. J Neurosci. 2008;28:4795–806.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  181. West TO, Berthouze L, Halliday DM, Litvak V, Sharott A, Magill PJ, et al. Propagation of beta/gamma rhythms in the cortico-basal ganglia circuits of the parkinsonian rat. J Neurophysiol. 2018;119:1608–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  182. Fries P. Rhythms for cognition: communication through coherence. Neuron. 2015;88:220–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  183. Guillery RW, Sherman SM. Thalamic relay functions and their role in corticocortical communication: generalizations from the visual system. Neuron. 2002;33:163–75.

    Article  CAS  PubMed  Google Scholar 

  184. Basso MA, Uhlrich D, Bickford ME. Cortical function: a view from the thalamus. Neuron. 2005;45:485–8.

    Article  CAS  PubMed  Google Scholar 

  185. Guillery RW. Anatomical pathways that link perception and action. In: Casagrande VA, Guillery RW, Sherman SM, editors. Progress in brain research. Vol 149: cortical function: a view from the thalamus. Amsterdam: Elsevier; 2005. p. 235–56.

    Chapter  Google Scholar 

  186. Arbib MA. The metaphorical brain: an introduction to cybernetics as artificial intelligence and brain theory. New York: Wiley-Interscience; 1972.

    Google Scholar 

  187. von Holst E, Mittelstaedt H. The reafference principle. Interaction between the central nervous system and the periphery. In: Behavioural physiology of animals and man: collected papers of Erich von Holst, vol. 1. Coral Gables, FL: University of Miami Press; 1973. p. 139–73.

    Google Scholar 

  188. Crispino L, Bullock TH. Cerebellum mediates modality-specific modulation of sensory responses of midbrain and forebrain in rat. Proc Natl Acad Sci U S A. 1984;81:2917–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  189. Chapman CE, Jiang W, Lamarre Y. Modulation of lemniscal input during conditioned arm movements in the monkey. Exp Brain Res. 1988;72:316–34.

    Article  CAS  PubMed  Google Scholar 

  190. Jiang W, Chapman CE, Lamarre Y. Modulation of the cutaneous responsiveness of neurones in the primary somatosensory cortex during conditioned arm movements in the monkey. Exp Brain Res. 1991;84:342–54.

    Article  CAS  PubMed  Google Scholar 

  191. Cole JD, Gordon G. Corticofugal actions on lemniscal neurons of the cuneate, gracile and lateral cervical nuclei of the cat. Exp Brain Res. 1992;90:384–92.

    Article  CAS  PubMed  Google Scholar 

  192. McCormick DA, Bal T. Sensory gating mechanisms of the thalamus. Curr Opin Neurobiol. 1994;4:550–6.

    Article  CAS  PubMed  Google Scholar 

  193. Duysens J, Tax AAM, Nawijn S, Berger W, Prokop T, Altenmüller E. Gating of sensation and evoked potentials following foot stimulation during human gait. Exp Brain Res. 1995;105:423–31.

    CAS  PubMed  Google Scholar 

  194. Bell CC, Bodznick D, Montgomery JC, Bastian J. The generation and subtraction of sensory expectations within cerebellum-like structures. Brain Behav Evol. 1997;50:17–31.

    Article  PubMed  Google Scholar 

  195. Courtemanche R, Sun GD, Lamarre Y. Movement-related modulation across the receptive field of neurons in the primary somatosensory cortex of the monkey. Brain Res. 1997;777:170–8.

    Article  CAS  PubMed  Google Scholar 

  196. Bell CC, Han V, Sawtell NB. Cerebellum-like structures and their implications for cerebellar function. Ann Rev Neurosci. 2008;31:1–24.

    Article  CAS  PubMed  Google Scholar 

  197. Requarth T, Kaifosh P, Sawtell NB. A role for mixed corollary discharge and proprioceptive signals in predicting the sensory consequences of movements. J Neurosci. 2014;34:16103–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  198. Blouin J, Bard C, Teasdale N, Paillard J, Fleury M, Forget R, et al. Reference systems for coding spatial information in normal subjects and a deafferented patient. Exp Brain Res. 1993;93:324–31.

    Article  CAS  PubMed  Google Scholar 

  199. Paillard J, Richelle M, Requin J, Robert M. L’intégration sensori-motrice et idéomotrice. In: Traité de psychologie expérimentale. Paris: PUF; 1994.. [in French].

    Google Scholar 

  200. Varghese JP, Merino DM, Beyer KB, McIlroy WE. Cortical control of anticipatory postural adjustments prior to stepping. Neuroscience. 2016;313:99–109.

    Article  CAS  PubMed  Google Scholar 

  201. Nicolelis MAL, Baccala LA, Lin RCS, Chapin JK. Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system. Science. 1995;268:1353–8.

    Article  CAS  PubMed  Google Scholar 

  202. Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn Sci. 2005;9:474–80.

    Article  PubMed  Google Scholar 

  203. Strogatz SH, Stewart I. Coupled oscillators and biological synchronization. Sci Am. 1993:102–9.

    Article  CAS  PubMed  Google Scholar 

  204. Strogatz SH. Sync: how order emerges from chaos in the universe, nature, and daily life. New York: Hyperion; 2003.

    Google Scholar 

  205. Sejnowski TJ, Paulsen O. Network oscillations: emerging computational principles. J Neurosci. 2006;26:1673–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  206. Canavier CC. Phase-resetting as a tool of information transmission. Curr Opin Neurobiol. 2015;31:206–13.

    Article  CAS  PubMed  Google Scholar 

  207. Bouyer JJ, Montaron MF, Rougeul A. Fast fronto-parietal rhythms during combined focused attentive behaviour and immobility in cat: cortical and thalamic localizations. Electroencephalogr Clin Neurophysiol. 1981;51:244–52.

    Article  CAS  PubMed  Google Scholar 

  208. Pfurtscheller G. Central beta rhythm during sensorimotor activities in man. Electroencephalogr Clin Neurophysiol. 1981;51:253–64.

    Article  CAS  PubMed  Google Scholar 

  209. Feingold J, Gibson DJ, DePasquale B, Graybiel AM. Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proc Natl Acad Sci U S A. 2015;112:13687–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  210. Sun H, Blakely TM, Darvas F, Wander JD, Johnson LA, Su DK, et al. Sequential activation of premotor, primary somatosensory and primary motor areas in humans during cued finger movements. Clin Neurophysiol. 2015;126:2150–61.

    Article  PubMed  PubMed Central  Google Scholar 

  211. Siegel M, Donner TH, Oostenveld R, Fries P, Engel AK. Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention. Neuron. 2008;60:709–19.

    Article  CAS  PubMed  Google Scholar 

  212. Colgin LL, Moser EI. Neuroscience: rewinding the memory record. Nature. 2006;440:615–7.

    Article  CAS  PubMed  Google Scholar 

  213. Buzsaki G, Moser EI. Memory, navigation and theta rhythm in the hippocampal-entorhinal system. Nat Neurosci. 2013;16:130–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  214. Cheron G, Marquez-Ruiz J, Dan B. Oscillations, timing, plasticity, and learning in the cerebellum. Cerebellum. 2016;15:122–38.

    Article  CAS  PubMed  Google Scholar 

  215. Salazar RF, Dotson NM, Bressler SL, Gray CM. Content-specific fronto-parietal synchronization during visual working memory. Science. 2012;338:1097–100.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  216. Hwang EJ, Andersen RA. Brain control of movement execution onset using local field potentials in posterior parietal cortex. J Neurosci. 2009;29:14363–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  217. Liang H, Bressler SL, Ding M, Truccolo WA, Nakamura R. Synchronized activity in prefrontal cortex during anticipation of visuomotor processing. Neuroreport. 2002;13:2011–5.

    Article  PubMed  Google Scholar 

  218. Sirota A, Montgomery S, Fujisawa S, Isomura Y, Zugaro M, Buzsaki G. Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm. Neuron. 2008;60:683–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  219. Hummel F, Gerloff C. Larger interregional synchrony is associated with greater behavioral success in a complex sensory integration task in humans. Cereb Cortex. 2005;15:670–8.

    Article  PubMed  Google Scholar 

  220. Hummel FC, Gerloff C. Interregional long-range and short-range synchrony: a basis for complex sensorimotor processing. Prog Brain Res. 2006;159:223–36.

    Article  PubMed  Google Scholar 

  221. Kopell N, Ermentrout GB, Whittington MA, Traub RD. Gamma rhythms and beta rhythms have different synchronization properties. Proc Natl Acad Sci U S A. 2000;97:1867–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  222. Akam T, Kullmann DM. Oscillatory multiplexing of population codes for selective communication in the mammalian brain. Nat Rev Neurosci. 2014;15:111–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  223. Engel AK, Fries P. Beta-band oscillations—signalling the status quo? Curr Opin Neurobiol. 2010;20:156–65.

    Article  CAS  PubMed  Google Scholar 

  224. Koch C, Ullman S. Shifts in selective visual attention: towards the underlying neural circuitry. Hum Neurobiol. 1895;4:219–27.

    Google Scholar 

  225. Koch C. Consciousness: confessions of a romantic reductionist. Cambridge MA: MIT Press; 2012.

    Book  Google Scholar 

  226. Kastner S, Ungerleider LG. Mechanisms of visual attention in the human cortex. Annu Rev Neurosci. 2000;23:315–41.

    Article  CAS  PubMed  Google Scholar 

  227. Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002;3:201–15.

    Article  CAS  PubMed  Google Scholar 

  228. MacKay WA, Mendonça AJ. Field potential oscillatory bursts in parietal cortex before and during reach. Brain Res. 1995;704:167–74.

    Article  CAS  PubMed  Google Scholar 

  229. Womelsdorf T, Schoffelen JM, Oostenveld R, Singer W, Desimone R, Engel AK, et al. Modulation of neuronal interactions through neuronal synchronization. Science. 2007;316:1609–12.

    Article  CAS  PubMed  Google Scholar 

  230. Douglas RJ, Martin KAC, Whitteridge D. A canonical microcircuit for neocortex. Neural Comput. 1989;1:480–8.

    Article  Google Scholar 

  231. Bastos AM, Usrey WM, Adams RA, Mangun GR, Fries P, Friston KJ. Canonical microcircuits for predictive coding. Neuron. 2012;76:695–711.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  232. Buzsaki G, Anastassiou CA, Koch C. The origin of extracellular fields and currents—EEG, ECoG, LFP and spikes. Nat Rev Neurosci. 2012;13:407–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  233. Traub RD, Jefferys JG, Whittington MA. Simulation of gamma rhythms in networks of interneurons and pyramidal cells. J Comput Neurosci. 1997;4:141–50.

    Article  CAS  PubMed  Google Scholar 

  234. Whittington MA, Traub RD. Interneuron diversity series: inhibitory interneurons and network oscillations in vitro. Trends Neurosci. 2003;26:676–82.

    Article  CAS  PubMed  Google Scholar 

  235. Buzsaki G, Wang XJ. Mechanisms of gamma oscillations. Annu Rev Neurosci. 2012;35:203–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  236. Singer W, Engel AK, Kreiter AK, Munk MHJ, Neuenschwander S, Roelfsema PR. Neuronal assemblies: necessity, signature and detectability. Trends Cogn Sci. 1997;1:252–61.

    Article  CAS  PubMed  Google Scholar 

  237. Buffalo EA, Fries P, Landman R, Buschman TJ, Desimone R. Laminar differences in gamma and alpha coherence in the ventral stream. Proc Natl Acad Sci U S A. 2011;108:11262–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  238. Bollimunta A, Mo J, Schroeder CE, Ding M. Neuronal mechanisms and attentional modulation of corticothalamic alpha oscillations. J Neurosci. 2011;31:4935–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  239. Igarashi J, Isomura Y, Arai K, Harukuni R, Fukai T. A theta-gamma oscillation code for neuronal coordination during motor behavior. J Neurosci. 2013;33:18515–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  240. Lisman JE, Idiart MAP. Storage of 7 +/− 2 short-term memories in oscillatory subcycles. Science. 1995;267:1512–5.

    Article  CAS  PubMed  Google Scholar 

  241. Jensen O, Lisman JE. Hippocampal sequence-encoding driven by a cortical multi-item working memory buffer. Trends Neurosci. 2005;28:67–72.

    Article  CAS  PubMed  Google Scholar 

  242. Aru J, Aru J, Priesemann V, Wibral M, Lana L, Pipa G, et al. Untangling cross-frequency coupling in neuroscience. Curr Opin Neurobiol. 2014;31C:51–61.

    Google Scholar 

  243. Hyafil A, Giraud AL, Fontolan L, Gutkin B. Neural cross-frequency coupling: connecting architectures, mechanisms, and functions. Trends Neurosci. 2015;38:725–40.

    Article  CAS  PubMed  Google Scholar 

  244. Donner TH, Siegel M, Fries P, Engel AK. Buildup of choice-predictive activity in human motor cortex during perceptual decision making. Curr Biol. 2009;19:1581–5.

    Article  CAS  PubMed  Google Scholar 

  245. Siegel M, Warden MR, Miller EK. Phase-dependent neuronal coding of objects in short-term memory. Proc Natl Acad Sci U S A. 2009;106:21341–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  246. Canolty RT, Knight RT. The functional role of cross-frequency coupling. Trends Cogn Sci. 2010;14:506–15.

    Article  PubMed  PubMed Central  Google Scholar 

  247. Bonnefond M, Kastner S, Jensen O. Communication between brain areas based on nested oscillations. eNeuro. 2017;4(2). pii: ENEURO.0153–16.2017.

    Article  PubMed  PubMed Central  Google Scholar 

  248. Alekseichuk I, Turi Z, Amador de Lara G, Antal A, Paulus W. Spatial working memory in humans depends on theta and high gamma synchronization in the prefrontal cortex. Curr Biol. 2016;26:1513–21.

    Article  CAS  PubMed  Google Scholar 

  249. Helfrich RF, Knight RT. Oscillatory dynamics of prefrontal cognitive control. Trends Cogn Sci. 2016;20:916–30.

    Article  PubMed  PubMed Central  Google Scholar 

  250. Bressler SL, Tang W, Sylvester CM, Shulman GL, Corbetta M. Top-down control of human visual cortex by frontal and parietal cortex in anticipatory visual spatial attention. J Neurosci. 2008;28:10056–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  251. Mayer A, Schwiedrzik CM, Wibral M, Singer W, Melloni L. Expecting to see a letter: alpha oscillations as carriers of top-down sensory predictions. Cereb Cortex. 2016;26:3146–60.

    Article  PubMed  Google Scholar 

  252. Baker SN. Oscillatory interactions between sensorimotor cortex and the periphery. Curr Opin Neurobiol. 2007;17:649–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  253. de Lange FP, Jensen O, Bauer M, Toni I. Interactions between posterior gamma and frontal alpha/beta oscillations during imagined actions. Front Hum Neurosci. 2008;2:7.

    PubMed  PubMed Central  Google Scholar 

  254. Cannon J, McCarthy MM, Lee S, Lee J, Borgers C, Whittington MA, et al. Neurosystems: brain rhythms and cognitive processing. Eur J Neurosci. 2014;39:705–19.

    Article  PubMed  Google Scholar 

  255. Richter CG, Thompson WH, Bosman CA, Fries P. Top-down beta enhances bottom-up gamma. J Neurosci. 2017;37:6698–711.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  256. Marshall PJ, Bouquet CA, Shipley TF, Young T. Effects of brief imitative experience on EEG desynchronization during action observation. Neuropsychologia. 2009;47:2100–6.

    Article  PubMed  Google Scholar 

  257. Dufour B, Thenault F, Bernier PM. Theta-band EEG activity over sensorimotor regions is modulated by expected visual reafferent feedback during reach planning. Neuroscience. 2018;385:47–58.

    Article  CAS  PubMed  Google Scholar 

  258. Duhamel JR, Colby CL, Goldberg ME. The updating of the representation of visual space in parietal cortex by intended eye movements. Science. 1992;255:90–2.

    Article  CAS  PubMed  Google Scholar 

  259. Zhong W, Ciatipis M, Wolfenstetter T, Jessberger J, Muller C, Ponsel S, et al. Selective entrainment of gamma subbands by different slow network oscillations. Proc Natl Acad Sci U S A. 2017;114:4519–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  260. Popa D, Spolidoro M, Proville RD, Guyon N, Belliveau L, Lena C. Functional role of the cerebellum in gamma-band synchronization of the sensory and motor cortices. J Neurosci. 2013;33:6552–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  261. Wolinski N, Cooper NR, Sauseng P, Romei V. The speed of parietal theta frequency drives visuospatial working memory capacity. PLoS Biol. 2018;16:e2005348.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  262. Farmer SF. Rhythmicity, synchronization and binding in human and primate motor systems. J Physiol (London). 1998;509:3–14.

    Article  CAS  Google Scholar 

  263. Newman MEJ. Networks: an introduction. Oxford, UK: Oxford University Press; 2010.

    Book  Google Scholar 

  264. Sporns O. Networks of the brain. Cambridge, MA: MIT Press; 2011.

    Google Scholar 

  265. Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186–98.

    Article  CAS  PubMed  Google Scholar 

  266. Bullmore E, Sporns O. The economy of brain network organization. Nat Rev Neurosci. 2012;13:336–49.

    Article  CAS  PubMed  Google Scholar 

  267. van den Heuvel MP, Sporns O. Network hubs in the human brain. Trends Cogn Sci. 2013;17:683–96.

    Article  PubMed  Google Scholar 

  268. Misic B, Sporns O. From regions to connections and networks: new bridges between brain and behavior. Curr Opin Neurobiol. 2016;40:1–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  269. van den Heuvel MP, Bullmore ET, Sporns O. Comparative connectomics. Trends Cogn Sci. 2016;20:345–61.

    Article  PubMed  Google Scholar 

  270. Nemani A, Yucel MA, Kruger U, Gee DW, Cooper C, Schwaitzberg SD, et al. Assessing bimanual motor skills with optical neuroimaging. Sci Adv. 2018;4:eaat3807.

    Article  PubMed  PubMed Central  Google Scholar 

  271. Cayer L. Le tennis rendu facile. Montréal: Les Éditions Québécor; 1989 [in French]

    Google Scholar 

  272. Brechbühl J. La maîtrise du tennis. Lausanne, Suisse: Payot; 1982 [in French]

    Google Scholar 

  273. Gilbert B, Jamison S. Winning ugly. New York: Fireside; 1993.

    Google Scholar 

  274. Gallwey WT. The inner game of tennis. New York: Bantam Books; 1979.

    Google Scholar 

  275. Foster Wallace D. String theory. New York: Library of America; 2016.

    Google Scholar 

Download references

Acknowledgements

We would like to thank Ariana Frederick for initial help with figure design. A special thanks to Mark Winter for providing original artwork as a courtesy, after we saw his work at chicanepictures.com. A special thanks as well to Dr. Thanh Dang-Vu for his enthusiasm, patience, and for providing the opportunity to write this review. RC was a Tennis-Canada certified coach in the Québec City area a long time ago, and this chapter stems from both fundamental and applied deliberations over the years, inspired from stimulating discussions with motor control experts Drs. Michelle Fleury, Normand Teasdale, and Chantal Bard; from neurobiological musings with the co-authors; as well as with Drs. Stéphane Dieudonné and Ann Graybiel, and kinesiology colleagues. RC was also fortunate to get to work with tennis coaches Jacques Bordeleau, “Jack” Hérisset, and Louis Lamontagne along the way, who emphasized the perceptual-motor aspect of tennis. RC thanks his co-authors for their patience and willingness to explore: while this was a fun (but risky!) attempt at integration, any good thought likely stemmed from these discussions, while on the other hand, RC gladly takes the blame for any unfortunate oversimplification. Grants from NSERC, FRQNT, and Concordia University supported time and information gathering for this work to be produced.

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Correspondence to Richard Courtemanche .

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Courtemanche, R., Popa, D., Léna, C. (2020). Exploring Oscillations in Expert Sensorimotor Anticipation: The Tennis Return of Serve. In: Dang-Vu, T., Courtemanche, R. (eds) Neuronal Oscillations of Wakefulness and Sleep. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-0653-7_1

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