Advertisement

Neuropsychology Review

, Volume 29, Issue 4, pp 484–497 | Cite as

To Watch is to Work: a Review of NeuroImaging Data on Tool Use Observation Network

  • Emanuelle ReynaudEmail author
  • Jordan Navarro
  • Mathieu Lesourd
  • François Osiurak
Review

Abstract

Since the discovery of mirror neurons in the 1990s, many neuroimaging studies have tackled the issue of action observation with the aim of unravelling a putative homolog human system. However, these studies do not distinguish between non-tool-use versus tool-use actions, implying that a common brain network is systematically involved in the observation of any action. Here we provide evidence for a brain network dedicated to tool-use action observation, called the tool-use observation network, mostly situated in the left hemisphere, and distinct from the non-tool-use action observation network. Areas specific for tool-use action observation are the left cytoarchitectonic area PF within the left inferior parietal lobe and the left inferior frontal gyrus. The neural correlates associated with the observation of tool-use reported here offer new insights into the neurocognitive bases of action observation and tool use, as well as addressing more fundamental issues on the origins of specifically human phenomena such as cumulative technological evolution.

Keywords

Tool use Action observation Left inferior parietal cortex Meta-analysis 

Notes

Acknowledgments

This work was supported by a grant from ANR (Agence Nationale pour la Recherche; Project “Cognition et économie liée à l’outil/Cognition and tool-use economy”, N°ANR-14-C230-0015-01), and was performed within the framework of the LABEX CORTEX (ANR-11-LABX-0042) of Université de Lyon, within the program “Investissements d’Avenir” (ANR-11-IDEX-0007) operated by the French National Research Agency (ANR).

Author Contribution Statement

E.R. and F.O. designed the study. E.R. and F.O. analyzed the data. All authors discussed the results and commented on the manuscript.

Compliance with Ethical Standards

Competing Interests

The authors declare no competing interests.

Supplementary material

11065_2019_9418_MOESM1_ESM.pdf (144 kb)
ESM 1(PDF 143 kb)

References

  1. Abdollahi, R. O., Kolster, H., Glasser, M. F., Robinson, E. C., Coalson, T. S., Dierker, D., … Orban, G. A. (2014). Correspondences between retinotopic areas and myelin maps in human visual cortex. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2014.06.042 PubMedPubMedCentralCrossRefGoogle Scholar
  2. Binkofski, F., Buccino, G., Zilles, K., & Fink, G. (2004). Supramodal representation of objects and actions in the human inferior temporal and ventral premotor cortex. Cortex, 40(1), 159–161.PubMedCrossRefPubMedCentralGoogle Scholar
  3. Boronat, C. B., Buxbaum, L. J., Coslett, H. B., Tang, K., Saffran, E. M., Kimberg, D. Y., & Detre, J. A. (2005). Distinctions between manipulation and function knowledge of objects: Evidence from functional magnetic resonance imaging. Cognitive Brain Research.  https://doi.org/10.1016/j.cogbrainres.2004.11.001 PubMedCrossRefPubMedCentralGoogle Scholar
  4. Bortoletto, M., & Cunnington, R. (2010). Motor timing and motor sequencing contribute differently to the preparation for voluntary movement. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2009.11.048 PubMedCrossRefPubMedCentralGoogle Scholar
  5. Boyd, R., & Richerson, P. J. (1996). Why culture is common, but cultural evolution is rare. In W. G. Runciman, J. M. Smith, & R. I. M. Dunbar (Eds.), Proceedings of The British Academy, Vol. 88. Evolution of social behaviour patterns in primates and man (pp. 77-93). New York, NY, US: Oxford University Press.Google Scholar
  6. Brass, M., & Heyes, C. (2005). Imitation: Is cognitive neuroscience solving the correspondence problem? Trends in Cognitive Sciences.  https://doi.org/10.1016/j.tics.2005.08.007 PubMedCrossRefPubMedCentralGoogle Scholar
  7. Buccino, G., Binkofski, F., Fink, G. R., Fadiga, L., Fogassi, L., Gallese, V., … Freund, H. J. (2001). Action observation activates premotor and parietal areas in a somatotopic manner: An fMRI study. European Journal of Neuroscience, 13(2), 400–404.  https://doi.org/10.1046/j.1460-9568.2001.01385.x CrossRefPubMedPubMedCentralGoogle Scholar
  8. Buxbaum, L. J. (2001). Ideomotor apraxia: A call to action. Neurocase, 7(6), 445–458.PubMedCrossRefPubMedCentralGoogle Scholar
  9. Buxbaum, L. J. (2017). Learning, remembering, and predicting how to use tools: Distributed neurocognitive mechanisms: Comment on osiurak and badets (2016). Psychological Review.  https://doi.org/10.1037/rev0000051 PubMedPubMedCentralCrossRefGoogle Scholar
  10. Buxbaum, L. J., Giovannetti, T., & Libon, D. (2000). The role of the dynamic body schema in praxis: Evidence from primary progressive apraxia. Brain and Cognition.  https://doi.org/10.1006/brcg.2000.1227 PubMedCrossRefPubMedCentralGoogle Scholar
  11. Buxbaum, L. J., & Saffran, E. M. (2002). Knowledge of object manipulation and object function: Dissociations in apraxic and nonapraxic subjects. Brain and Language.  https://doi.org/10.1016/S0093-934X(02)00014-7 PubMedCrossRefPubMedCentralGoogle Scholar
  12. Caspers, S., Geyer, S., Schleicher, A., Mohlberg, H., Amunts, K., & Zilles, K. (2006). The human inferior parietal cortex: Cytoarchitectonic parcellation and interindividual variability. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2006.06.054 PubMedCrossRefPubMedCentralGoogle Scholar
  13. Caspers, S., Zilles, K., Laird, A. R., & Eickhoff, S. B. (2010). ALE meta-analysis of action observation and imitation in the human brain. NeuroImage, 50(3), 1148–1167.  https://doi.org/10.1016/j.neuroimage.2009.12.112 CrossRefPubMedPubMedCentralGoogle Scholar
  14. Chao, L. L., & Martin, A. (2000). Representation of manipulable man-made objects in the dorsal stream. NeuroImage.  https://doi.org/10.1006/nimg.2000.0635 PubMedCrossRefPubMedCentralGoogle Scholar
  15. Chen, Q., Garcea, F. E., Jacobs, R. A., & Mahon, B. Z. (2018). Abstract representations of object-directed action in the left inferior parietal lobule. Cerebral Cortex.  https://doi.org/10.1093/cercor/bhx120 CrossRefGoogle Scholar
  16. Chong, T. T.-J., Williams, M. A., Cunnington, R., & Mattingley, J. B. (2008). Selective attention modulates inferior frontal gyrus activity during action observation. NeuroImage, 40(1), 298–307.  https://doi.org/10.1016/j.neuroimage.2007.11.030 CrossRefPubMedPubMedCentralGoogle Scholar
  17. Creem-Regehr, S. H., & Lee, J. N. (2005). Neural representations of graspable objects: Are tools special? Cognitive Brain Research.  https://doi.org/10.1016/j.cogbrainres.2004.10.006 PubMedCrossRefPubMedCentralGoogle Scholar
  18. Cross, E. S., Kraemer, D. J. M., Hamilton, A. F. D. C., Kelley, W. M., & Grafton, S. T. (2009). Sensitivity of the action observation network to physical and observational learning. Cerebral Cortex, 19(2), 315–326.  https://doi.org/10.1093/cercor/bhn083 CrossRefPubMedPubMedCentralGoogle Scholar
  19. Cubelli, R., Marchetti, C., Boscolo, G., & Della Sala, S. (2000). Cognition in action: Testing a model of limb apraxia. Brain and Cognition.  https://doi.org/10.1006/brcg.2000.1226 PubMedCrossRefPubMedCentralGoogle Scholar
  20. Culham, J. C., Brandt, S. A., Cavanagh, P., Kanwisher, N. G., Dale, A. M., & Tootell, R. B. (1998). Cortical fMRI activation produced by attentive tracking of moving targets. Journal of Neurophysiology, 80(5), 2657–2670 9819271.PubMedCrossRefPubMedCentralGoogle Scholar
  21. Daprati, E., & Sirigu, A. (2006). How we interact with objects: Learning from brain lesions. Trends in Cognitive Sciences.  https://doi.org/10.1016/j.tics.2006.04.005 PubMedCrossRefPubMedCentralGoogle Scholar
  22. De Renzi, E. (1989). Apraxia. In F. Boller & J. Grafman (Eds.), Handbook of neuropsychology (vol. 2, pp. 245–263). Amsterdam: Elsevier.Google Scholar
  23. Decety, J., & Grezes, J. (1999). Neural mechanisms subserving the perception of human actions. Trends in Cognitive Sciences, 3(5), 172–178.PubMedCrossRefPubMedCentralGoogle Scholar
  24. Dinstein, I., Gardner, J. L., Jazayeri, M., & Heeger, D. J. (2008). Executed and observed movements have different distributed representations in human aIPS. Journal of Neuroscience.  https://doi.org/10.1523/JNEUROSCI.3585-08.2008 PubMedCrossRefPubMedCentralGoogle Scholar
  25. Dinstein, I., Hasson, U., Rubin, N., & Heeger, D. J. (2007). Brain areas selective for both observed and executed movements. Journal of Neurophysiology, 98(3), 1415–1427.  https://doi.org/10.1152/jn.00238.2007 CrossRefPubMedPubMedCentralGoogle Scholar
  26. Eickhoff, S. B., Bzdok, D., Laird, A. R., Kurth, F., & Fox, P. T. (2012). Activation likelihood estimation meta-analysis revisited. Neuroimage, 59(3), 2349–2361.PubMedPubMedCentralCrossRefGoogle Scholar
  27. Eickhoff, S. B., Laird, A. R., Fox, P. M., Lancaster, J. L., & Fox, P. T. (2017). Implementation errors in the GingerALE software: Description and recommendations. Human Brain Mapping, 38(1), 7–11.  https://doi.org/10.1002/hbm.23342 CrossRefPubMedPubMedCentralGoogle Scholar
  28. Evans, C., Edwards, M. G., Taylor, L. J., & Ietswaart, M. (2016). Perceptual decisions regarding object manipulation are selectively impaired in apraxia or when tDCS is applied over the left IPL. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2016.04.020 PubMedCrossRefPubMedCentralGoogle Scholar
  29. Fadiga, L., Craighero, L., & Olivier, E. (2005). Human motor cortex excitability during the perception of others’ action. Current Opinion in Neurobiology.  https://doi.org/10.1016/j.conb.2005.03.013 PubMedCrossRefPubMedCentralGoogle Scholar
  30. Fadiga, L., Fogassi, L., Pavesi, G., & Rizzolatti, G. (1995). Motor facilitation during action observation: A magnetic stimulation study. Journal of Neurophysiology, 73(6), 2608–2611  https://doi.org/10.1152/jn.1995.73.6.2608 CrossRefPubMedPubMedCentralGoogle Scholar
  31. Gallese, V., Fadiga, L., Fogassi, L., & Rizzolatti, G. (1996). Action recognition in the premotor cortex. Brain, 119(2), 593–609.  https://doi.org/10.1093/brain/119.2.593 CrossRefPubMedPubMedCentralGoogle Scholar
  32. Gallese, V., & Goldman, A. (1998). Mirror neurons and the mind-reading. Trens in Cognitive Sciences, 2(12), 493–501.  https://doi.org/10.1016/S1364-6613(98)01262-5 CrossRefGoogle Scholar
  33. Garcea, F. E., Dombovy, M., & Mahon, B. Z. (2013). Preserved tool knowledge in the context of impaired action knowledge: Implications for models of semantic memory. Frontiers in Human Neuroscience.  https://doi.org/10.3389/fnhum.2013.00120
  34. Georgieva, S., Peeters, R., Kolster, H., Todd, J. T., & Orban, G. A. (2009). The processing of three-dimensional shape from disparity in the human brain. Journal of Neuroscience.  https://doi.org/10.1523/JNEUROSCI.4753-08.2009 PubMedCrossRefPubMedCentralGoogle Scholar
  35. Goghari, V. M., & MacDonald, A. W. (2009). The neural basis of cognitive control: Response selection and inhibition. Brain and Cognition.  https://doi.org/10.1016/j.bandc.2009.04.004 PubMedPubMedCentralCrossRefGoogle Scholar
  36. Goldenberg, G., & Spatt, J. (2009). The neural basis of tool use. Brain, 132(Pt 6), 1645–1655.  https://doi.org/10.1093/brain/awp080 CrossRefPubMedPubMedCentralGoogle Scholar
  37. Goldenberg, G, & Hagmann, S. (1998). Tool use and mechanical problem solving in apraxia. Neuropsychologia.Google Scholar
  38. Goldenberg, G. (2013). Apraxia - the cognitive side of motor control. Cortex.  https://doi.org/10.1016/j.cortex.2013.07.016 PubMedCrossRefPubMedCentralGoogle Scholar
  39. Gonzalez Rothi, L. J., Ochipa, C., & Heilman, K. M. (1991). A cognitive neuropsychological model of limb praxis. Cognitive Neuropsychology, 8(6), 443–458.  https://doi.org/10.1080/02643299108253382 CrossRefGoogle Scholar
  40. Grafton, S., Arbib, M., Fadiga, L., & Rizzolatti, G. (1996). Localization of grasp representations in humans by positron emission tomography. Experimental Brain Research.  https://doi.org/10.1007/BF00227183
  41. Greenfield, P. M. (1991). Language, tools and brain: The ontogeny and phylogeny of hierarchically organized sequential behavior. Behavioral and Brain Sciences.  https://doi.org/10.1017/S0140525X00071235 CrossRefGoogle Scholar
  42. Halsband, U., Schmitt, J., Weyers, M., Binkofski, F., Grützner, G., & Freund, H. J. (2001). Recognition and imitation of pantomimed motor acts after unilateral parietal and premotor lesions: A perspective on apraxia. Neuropsychologia.  https://doi.org/10.1016/S0028-3932(00)00088-9 PubMedCrossRefPubMedCentralGoogle Scholar
  43. Hamilton, A., & Grafton, S. T. (2006). Goal representation in human anterior intraparietal sulcus. Journal of Neuroscience.  https://doi.org/10.1523/jneurosci.4551-05.2006 PubMedCrossRefPubMedCentralGoogle Scholar
  44. Hartmann, K., Goldenberg, G., Daumüller, M., & Hermsdörfer, J. (2005). It takes the whole brain to make a cup of coffee: The neuropsychology of naturalistic actions involving technical devices. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2004.07.015 PubMedCrossRefPubMedCentralGoogle Scholar
  45. Heilman, K. M., Rothi, L. J., & Valenstein, E. (1982). Two forms of ideomotor apraxia. Neurology.  https://doi.org/10.1212/WNL.32.4.342 PubMedCrossRefPubMedCentralGoogle Scholar
  46. Hickok, G. (2009). Eight problems for the mirror neuron theory of action understanding in monkeys and humans. Journal of Cognitive Neuroscience.  https://doi.org/10.1162/jocn.2009.21189 PubMedPubMedCentralCrossRefGoogle Scholar
  47. Hickok, G. (2014). The myth of mirror neurons: The real neuroscience of communication and cognition. New-York: Norton.Google Scholar
  48. Higuchi, S., Chaminade, T., Imamizu, H., & Kawato, M. (2009). Shared neural correlates for language and tool use in Broca’s area. NeuroReport.  https://doi.org/10.1097/WNR.0b013e3283315570 PubMedCrossRefPubMedCentralGoogle Scholar
  49. Iacoboni, M. (2009). Imitation, empathy, and mirror neurons. Annual Review of Psychology, 60(1), 653–670.  https://doi.org/10.1146/annurev.psych.60.110707.163604 CrossRefPubMedPubMedCentralGoogle Scholar
  50. Ishibashi, R., Lambon Ralph, M. A., Saito, S., & Pobric, G. (2011). Different roles of lateral anterior temporal lobe and inferior parietal lobule in coding function and manipulation tool knowledge: Evidence from an rTMS study. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2011.01.004 PubMedCrossRefPubMedCentralGoogle Scholar
  51. Ishibashi, R., Pobric, G., Saito, S., & Lambon Ralph, M. A. (2016). The neural network for tool-related cognition: An activation likelihood estimation meta-analysis of 70 neuroimaging contrasts. Cognitive Neuropsychology.  https://doi.org/10.1080/02643294.2016.1188798 PubMedPubMedCentralCrossRefGoogle Scholar
  52. Jacob, P., & Jeannerod, M. (2005). The motor theory of social cognition: A critique. Trends in Cognitive Sciences.  https://doi.org/10.1016/j.tics.2004.11.003 PubMedCrossRefPubMedCentralGoogle Scholar
  53. Jastorff, J., Begliomini, C., Fabbri-Destro, M., Rizzolatti, G., & Orban, G. A. (2010). Coding observed motor acts: Different organizational principles in the parietal and premotor cortex of humans. Journal of Neurophysiology.  https://doi.org/10.1152/jn.00254.2010 PubMedCrossRefPubMedCentralGoogle Scholar
  54. Jeannerod, M. (1994). The representing brain: Neural correlates of motor intention and imagery. Behavioral and Brain Sciences, 17(02), 187.  https://doi.org/10.1017/S0140525X00034026 CrossRefGoogle Scholar
  55. Johnson-Frey, S. H., Maloof, F. R., Newman-Norlund, R., Farrer, C., Inati, S., & Grafton, S. T. (2003). Actions or hand-object interactions? Human inferior frontal cortex and action observation. Neuron, 39(6), 1053–1058.  https://doi.org/10.1016/S0896-6273(03)00524-5 CrossRefPubMedPubMedCentralGoogle Scholar
  56. Johnson-Frey, S. H., Newman-Norlund, R., & Grafton, S. T. (2005). A distributed left hemisphere network active during planning of everyday tool use skills. Cerebral Cortex, 15(6), 681–695.PubMedCrossRefPubMedCentralGoogle Scholar
  57. Kalénine, S., Shapiro, A. D., & Buxbaum, L. J. (2013). Dissociations of action means and outcome processing in left-hemisphere stroke. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2013.03.017 PubMedPubMedCentralCrossRefGoogle Scholar
  58. Kalénine, S., Buxbaum, L. J., & Coslett, H. B. (2010). Critical brain regions for action recognition: Lesion symptom mapping in left hemisphere stroke. Brain.  https://doi.org/10.1093/brain/awq210 PubMedPubMedCentralCrossRefGoogle Scholar
  59. Kilner, J. M. (2009). Dissociable functional roles of the human action-observation network (commentary on E. S. Cross et al.). European Journal of Neuroscience.  https://doi.org/10.1111/j.1460-9568.2009.06958.x PubMedCrossRefPubMedCentralGoogle Scholar
  60. Lancaster, J. L., Tordesillas-Gutierrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., … Fox, P. T. (2007). Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template. Human Brain Mapping, 28(11), 1194–1205.PubMedPubMedCentralCrossRefGoogle Scholar
  61. Lesourd, M., Osiurak, F., Navarro, J., & Reynaud, E. (2017). Involvement of the left supramarginal gyrus in manipulation judgment tasks: Contributions to theories of tool use. Journal of the International Neuropsychological Society, 1–7.  https://doi.org/10.1017/S1355617717000455 PubMedCrossRefPubMedCentralGoogle Scholar
  62. Lingnau, A., Gesierich, B., & Caramazza, A. (2009). Asymmetric fMRI adaptation reveals no evidence for mirror neurons in humans. Proceedings of the National Academy of Sciences.  https://doi.org/10.1073/pnas.0902262106 CrossRefGoogle Scholar
  63. Mahon, B. Z., & Caramazza, A. (2005). The orchestration of the sensory-motor systems: Clues from neuropsychology. Cognitive Neuropsychology.  https://doi.org/10.1080/02643290442000446 PubMedCrossRefPubMedCentralGoogle Scholar
  64. Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology Paris.  https://doi.org/10.1016/j.jphysparis.2008.03.004 CrossRefGoogle Scholar
  65. Meltzoff, A., & Moore, M. (1977). Imitation of facial and manual gestures by human neonates. Science, 198(4312), 74–78.  https://doi.org/10.1126/science.897687 CrossRefPubMedPubMedCentralGoogle Scholar
  66. Negri, G. A. L., Rumiati, R., Zadini, A., Ukmar, M., Mahon, B., & Caramazza, A. (2007). What is the role of motor simulation in action and object recognition? Evidence from apraxia. Cognitive Neuropsychology.  https://doi.org/10.1080/02643290701707412 PubMedCrossRefPubMedCentralGoogle Scholar
  67. Orban, G. A., & Rizzolatti, G. (2012). An area specifically devoted to tool use in human left inferior parietal lobule. The Behavioral and Brain Sciences.Google Scholar
  68. Orban, G. A., Claeys, K., Nelissen, K., Smans, R., Sunaert, S., Todd, J. T., … Vanduffel, W. (2006). Mapping the parietal cortex of human and non-human primates. Neuropsychologia, 44(13), 2647–2667.  https://doi.org/10.1016/j.neuropsychologia.2005.11.001 CrossRefPubMedPubMedCentralGoogle Scholar
  69. Orban, G. A., Sunaert, S., Todd, J. T., Van Hecke, P., & Marchal, G. (1999). Human cortical regions involved in extracting depth from motion. Neuron.  https://doi.org/10.1016/S0896-6273(00)81040-5 PubMedCrossRefPubMedCentralGoogle Scholar
  70. Orban, G. A., & Caruana, F. (2014). The neural basis of human tool use. Frontiers in Psychology, 5, 310.PubMedPubMedCentralGoogle Scholar
  71. Osiurak, F. (2014a). What neuropsychology tells us about human tool use? The four constraints theory (4CT): Mechanics, space, time, and effort. Neuropsychology Review.  https://doi.org/10.1007/s11065-014-9260-y PubMedCrossRefPubMedCentralGoogle Scholar
  72. Osiurak, F., Jarry, C., Allain, P., Aubin, G., Etcharry-Bouyx, F., Richard, I., … Le Gall, D. (2009). Unusual use of objects after unilateral brain damage. The technical reasoning model. Cortex, 45(6), 769–783.  https://doi.org/10.1016/j.cortex.2008.06.013 CrossRefPubMedPubMedCentralGoogle Scholar
  73. Osiurak, F. (2014b). Mechanical knowledge, but not manipulation knowledge, might support action prediction. Frontiers in Human Neuroscience, 8, 737.PubMedPubMedCentralCrossRefGoogle Scholar
  74. Osiurak, F., & Badets, A. (2016). Tool use and affordance: Manipulation-based versus reasoning-based approaches tool use and affordance: Manipulation-based versus reasoning-based approaches. Psychological Review, 123(5), 534–568.  https://doi.org/10.1037/rev0000027 CrossRefPubMedPubMedCentralGoogle Scholar
  75. Osiurak, F., De Oliveira, E., Navarro, J., Lesourd, M., Claidière, N., & Reynaud, E. (2016). Physical intelligence does matter to cumulative technological culture. Journal of Experimental Psychology: General, 145(8), 941–948.  https://doi.org/10.1037/xge0000189 CrossRefGoogle Scholar
  76. Osiurak, F., De Oliveira, E., Navarro, J., & Reynaud, E. (2019). The Castaway island: Distinct roles of theory of mind and technical reasoning in cumulative technological culture. Journal of Experimental Psychology: General.  https://doi.org/10.1037/xge0000614
  77. Osiurak, F., & Heinke, D. (2018). Looking for intoolligence: A unified framework for the cognitive study of human tool use and technology. American Psychologist.  https://doi.org/10.1037/amp0000162 PubMedCrossRefPubMedCentralGoogle Scholar
  78. Osiurak, F., Jarry, C., & Le Gall, D. (2010). Grasping the affordances, understanding the reasoning: Toward a dialectical theory of human tool use. Psychological Review, 117(2), 517–540.  https://doi.org/10.1037/a0019004 CrossRefPubMedPubMedCentralGoogle Scholar
  79. Osiurak, F., & Rossetti, Y. (2017). Definition: Limb apraxia. Cortex.  https://doi.org/10.1016/j.cortex.2017.03.010 PubMedCrossRefPubMedCentralGoogle Scholar
  80. Osiurak, F., Rossetti, Y., & Badets, A. (2017). What is an affordance? 40 years later. Neuroscience & Biobehavioral Reviews, 77, 403–417.  https://doi.org/10.1016/j.neubiorev.2017.04.014 CrossRefGoogle Scholar
  81. Peelen, M. V., & Downing, P. E. (2005). Is the extrastriate body area involved in motor actions? Nature Neuroscience, 8(2), 125.PubMedCrossRefPubMedCentralGoogle Scholar
  82. Peeters, R. R., Rizzolatti, G., & Orban, G. A. (2013). Functional properties of the left parietal tool use region. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2013.04.023 PubMedCrossRefPubMedCentralGoogle Scholar
  83. Peeters, R., Simone, L., Nelissen, K., Fabbri-Destro, M., Vanduffel, W., Rizzolatti, G., & Orban, G. A. (2009). The representation of tool use in humans and Monkeys: Common and uniquely human features. Journal of Neuroscience.  https://doi.org/10.1523/JNEUROSCI.2040-09.2009 PubMedCrossRefPubMedCentralGoogle Scholar
  84. Petrides, M. (2005). Lateral prefrontal cortex: Architectonic and functional organization. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.  https://doi.org/10.1098/rstb.2005.1631 CrossRefGoogle Scholar
  85. Rajah, M. N., Ames, B., & D’Esposito, M. (2008). Prefrontal contributions to domain-general executive control processes during temporal context retrieval. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2007.10.023 PubMedCrossRefPubMedCentralGoogle Scholar
  86. Reynaud, E., Lesourd, M., Navarro, J., & Osiurak, F. (2016). On the neurocognitive origins of human tool use: A critical review of neuroimaging data. Neuroscience & Biobehavioral Reviews, 64, 421–437.  https://doi.org/10.1016/j.neubiorev.2016.03.009 CrossRefGoogle Scholar
  87. Rizzolatti, G., Fadiga, L., Matelli, M., Bettinardi, V., Paulesu, E., Perani, D., & Fazio, F. (1996). Localization of grasp representations in humans by PET: 1. Observation versus execution. Experimental Brain Research, 111(2).  https://doi.org/10.1007/BF00227301
  88. Rumiati, R. I., Zanini, S., Vorano, L., & Shallice, T. (2001). A form of ideational apraxia as a selective deficit of contention scheduling. Cognitive Neuropsychology.  https://doi.org/10.1080/02643290126375 PubMedCrossRefPubMedCentralGoogle Scholar
  89. Rumiati, R. I., Weiss, P. H., Shallice, T., Ottoboni, G., Noth, J., Zilles, K., & Fink, G. R. (2004). Neural basis of pantomiming the use of visually presented objects. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2003.11.017 PubMedCrossRefPubMedCentralGoogle Scholar
  90. Salimi-Khorshidi, G., Smith, S. M., Keltner, J. R., Wager, T. D., & Nichols, T. E. (2009). Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies. NeuroImage, 45(3), 810–823.  https://doi.org/10.1016/j.neuroimage.2008.12.039 CrossRefPubMedPubMedCentralGoogle Scholar
  91. Samartsidis, P., Montagna, S., Johnson, T. D., & Nichols, T. E. (2017). The coordinate-based meta-analysis of neuroimaging data. Statistical Science, 32(4), 580–599.  https://doi.org/10.1214/17-STS624 CrossRefPubMedPubMedCentralGoogle Scholar
  92. Shmuelof, L., & Zohary, E. (2006). A mirror representation of others’ actions in the human anterior parietal cortex. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 26(38), 9736–9742.  https://doi.org/10.1523/JNEUROSCI.1836-06.2006 CrossRefGoogle Scholar
  93. Stadler, W., Schubotz, R. I., von Cramon, D. Y., Springer, A., Graf, M., & Prinz, W. (2011). Predicting and memorizing observed action: Differential premotor cortex involvement. Human Brain Mapping.  https://doi.org/10.1002/hbm.20949 PubMedCrossRefPubMedCentralGoogle Scholar
  94. Sunaert, S., Van Hecke, P., Marchal, G., & Orban, G. A. (1999). Motion-responsive regions of the human brain. Experimental Brain Research.  https://doi.org/10.1007/s002210050804 PubMedCrossRefPubMedCentralGoogle Scholar
  95. Taylor, J. C., Wiggett, A. J., & Downing, P. E. (2007). Functional MRI analysis of body and body part representations in the extrastriate and fusiform body areas. Journal of Neurophysiology, 98(3), 1626–1633.  https://doi.org/10.1152/jn.00012.2007 CrossRefPubMedPubMedCentralGoogle Scholar
  96. Tench, C. R., Tanasescu, R., Constantinescu, C. S., Auer, D. P., & Cottam, W. J. (2017). Coordinate based random effect size meta-analysis of neuroimaging studies. NeuroImage, 153, 293–306.  https://doi.org/10.1016/J.NEUROIMAGE.2017.04.002 CrossRefPubMedPubMedCentralGoogle Scholar
  97. Tessari, A., Canessa, N., Ukmar, M., & Rumiati, R. I. (2007). Neuropsychological evidence for a strategic control of multiple routes in imitation. Brain.  https://doi.org/10.1093/brain/awm003 CrossRefGoogle Scholar
  98. Thompson-Schill, S. L., D’Esposito, M., Aguirre, G. K., & Farah, M. J. (1997). Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation. Proceedings of the National Academy of Sciences.  https://doi.org/10.1073/pnas.94.26.14792 CrossRefGoogle Scholar
  99. Tomasello, M., Carpenter, M., Call, J., Behne, T., & Moll, H. (2005). Understanding and sharing intentions: The origins of cultural cognition. Behavioral and Brain Sciences, 28(05).  https://doi.org/10.1017/S0140525X05000129 PubMedCrossRefPubMedCentralGoogle Scholar
  100. Tomassini, V., Jbabdi, S., Klein, J. C., Behrens, T. E. J., Pozzilli, C., Matthews, P. M., … Johansen-Berg, H. (2007). Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializations. Journal of Neuroscience.  https://doi.org/10.1523/JNEUROSCI.2144-07.2007 PubMedCrossRefPubMedCentralGoogle Scholar
  101. Tootell, R. B., Reppas, J. B., Kwong, K. K., Malach, R., Born, R. T., Brady, T. J., … Belliveau, J. W. (1995). Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 15(4), 3215–3230 fmri_Mary M-converted #34; used to be #2162 and #2324.CrossRefGoogle Scholar
  102. Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002). Meta-analysis of the functional neuroanatomy of single-word reading: Method and validation. Neuroimage, 16(3 Pt 1), 765–780.PubMedPubMedCentralCrossRefGoogle Scholar
  103. Uithol, S., van Rooij, I., Bekkering, H., & Haselager, P. (2011). Understanding motor resonance. Social Neuroscience, 6(4), 388–397.  https://doi.org/10.1080/17470919.2011.559129 CrossRefPubMedPubMedCentralGoogle Scholar
  104. van Elk, M., van Schie, H., & Bekkering, H. (2014). Action semantics: A unifying conceptual framework for the selective use of multimodal and modality-specific object knowledge. Physics of Life Reviews.  https://doi.org/10.1016/j.plrev.2013.11.005 PubMedCrossRefPubMedCentralGoogle Scholar
  105. Van Essen, D. C. (2005). A population-average, landmark- and surface-based (PALS) atlas of human cerebral cortex. NeuroImage, 28(3), 635–662.  https://doi.org/10.1016/j.neuroimage.2005.06.058 CrossRefPubMedPubMedCentralGoogle Scholar
  106. Van Overwalle, F., & Baetens, K. (2009). Understanding others’ actions and goals by mirror and mentalizing systems: A meta-analysis. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2009.06.009 PubMedCrossRefPubMedCentralGoogle Scholar
  107. Vanduffel, W., Zhu, Q., & Orban, G. A. (2014). Monkey cortex through fMRI glasses. Neuron, 83(3), 533–550.  https://doi.org/10.1016/j.neuron.2014.07.015 CrossRefPubMedPubMedCentralGoogle Scholar
  108. Vingerhoets, G. (2014). Contribution of the posterior parietal cortex in reaching, grasping, and using objects and tools. Frontiers in Psychology, 5, 151.PubMedPubMedCentralCrossRefGoogle Scholar
  109. Wager, T. D., Lindquist, M. A., Nichols, T. E., Kober, H., & Van Snellenberg, J. X. (2009). Evaluating the consistency and specificity of neuroimaging data using meta-analysis. NeuroImage.  https://doi.org/10.1016/j.neuroimage.2008.10.061 PubMedCrossRefPubMedCentralGoogle Scholar
  110. Watson, J. D. G., Myers, R., Frackowiak, R. S. J., Hajnal, J. V., Woods, R. P., Mazziotta, J. C., … Zeki, S. (1993). Area V5 of the human brain: Evidence from a combined study using positron emission tomography and magnetic resonance imaging. Cerebral Cortex, 3(2), 79–94.  https://doi.org/10.1093/cercor/3.2.79 CrossRefPubMedPubMedCentralGoogle Scholar
  111. Wolpert, D. M., Ghahramani, Z., & Jordan, M. I. (1995). An internal model for sensorimotor integration. Science-AAAS-weekly paper edition, 269(5232), 1880-1882. Science-AAAS-Weekly Paper Edition.Google Scholar
  112. Yarkoni, T., Poldrack, R. A., Van Essen, D. C., & Wager, T. D. (2010). Cognitive neuroscience 2.0: Building a cumulative science of human brain function. Trends in Cognitive Sciences.  https://doi.org/10.1016/j.tics.2010.08.004 PubMedPubMedCentralCrossRefGoogle Scholar
  113. Zeki, S., Watson, J. D., Lueck, C. J., Friston, K. J., Kennard, C., & Frackowiak, R. S. (1991). A direct demonstration of functional specialization in human visual cortex. The Journal of Neuroscience, 11(March), 641–649  https://doi.org/10.1523/JNEUROSCI.11-03-00641.1991 CrossRefPubMedPubMedCentralGoogle Scholar
  114. Zhang, Z., Sun, Y., Humphreys, G. W., & Song, Y. (2017). Different activity patterns for action and language within their shared neural areas: An fMRI study on action observation and language phonology. Neuropsychologia.  https://doi.org/10.1016/j.neuropsychologia.2017.02.025 PubMedCrossRefPubMedCentralGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Laboratoire d’Etude des Mécanismes Cognitifs (EA 3082), Institut de PsychologieUniversité de LyonBron CedexFrance
  2. 2.Institut Universitaire de FranceParisFrance
  3. 3.Aix Marseille Univ, CNRS, LNC, Laboratoire de Neurosciences CognitivesMarseilleFrance
  4. 4.Aix Marseille Univ, CNRS, Fédération 3CMarseilleFrance

Personalised recommendations