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Why People Who Cannot Move Are Able to Think

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Book cover The Myth of Executive Functioning

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Abstract

The first clue in approaching an answer concerns the fact that for the brain, the only difference between planning or imagining an activity and engaging in the activity is the actual execution of that behavior. It is well documented that very similar, if not identical brain areas are recruited during the process of thinking about an activity and when actually performing that behavior [207, 208]. The primary difference is the activation of the motor system when that behavior is executed. The second clue concerns the fact that it is also well documented that mentally rehearsing, or imagining the execution of a behavior, actually improves performance [207, 208]. For example, in one study, it was concluded that viewing tools seemed to generate prehensions and anticipations about using them; the imagined action of using a tool “mirrored” the brain activation underlying the functional use of the tool [259]. The perception of the tool, the contextual coupling of the action of using the tool, and the imagination of the activity generated the precursors or forerunners of overt “action control” over tool use. In addition, it has been documented that the planning of the use of a tool activates or recruits a distributed large scale brain network within the left hemisphere. This network includes the posterior superior temporal sulcus, a brain region necessary for the perception of motion; proximal regions of the middle and superior temporal gyri were also recruited, which are brain regions associated with the memory of the identification of objects and the assignment of appropriate context for objects, in other words, salience assignment; the anterior and posterior supramarginal gyri of parietal regions were recruited, which are brain regions that are necessary for specifying the parameters of action, insofar as grasp of the tool might be determined by its size, shape, and movement; the inferior frontal and ventral premotor cortices were activated, as well as the dorsolateral prefrontal cortex, regions necessary for the execution of movement and for decision making over action. These regions have been described as an “action control” network [2, 75, 110, 260], while it also should be noted that these brain regions include what some investigators have termed the “mirror neuron system” [158, 261, 262]. While activity within the left DLPFC dropped out during action execution (which makes sense after the decision to act was made to choose that particular candidate behavior), adjacent and partially overlapping areas of the left temporal, parietal, and frontal cortex were engaged during action execution. As cited above, when the cerebellum was included as a brain region of interest (ROI), differential regions of the anterior and posterior inferior cerebellum were also activated during actual and imagined tool use. The data identify the lateralized large scale brain network referred to in this and earlier papers as a functional ensemble for the interaction of semantic/declarative and motor/procedural representations upon which meaningful skills depend [263]. Therefore, while in reviewing Pezzulo [116–118] it was concluded that procedural knowledge can lead to the development of declarative knowledge, the opposite relationship is similarly evident. Declarative knowledge can facilitate procedural learning through the process of observation. This was similarly evident in the prior example of attending a brain dissection workshop.

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References

  1. Koziol, L.F., D.E. Budding, and D. Chidekel, ADHD as a model of brain-behavior relationships. Springer briefs in neuroscience/the vertically organized brain in theory and practice. 2013, New York, NY: Springer.

    Book  Google Scholar 

  2. Thomas, L.E. and A. Lleras, Moving eyes and moving thought: on the spatial compatibility between eye movements and cognition. Psychon Bull Rev, 2007. 14(4): p. 663-8.

    Article  PubMed  Google Scholar 

  3. Koziol, L.F., D.E. Budding, and D. Chidekel, Adaptation, expertise, and giftedness: towards an understanding of cortical, subcortical, and cerebellar network contributions. Cerebellum, 2010. 9(4): p. 499-529.

    Article  PubMed  Google Scholar 

  4. Koziol, L.F., D.E. Budding, and D. Chidekel, From movement to thought: executive function, embodied cognition, and the cerebellum. Cerebellum, 2012. 11(2): p. 505-25.

    Article  PubMed  Google Scholar 

  5. Pezzulo, G., Grounding procedural and declarative knowledge in sensorimotor anticipation. Mind & Language, 2011. 26(1): p. 78-114.

    Article  Google Scholar 

  6. Pezzulo, G. and H. Dindo, What should I do next? Using shared representations to solve interaction problems. Exp Brain Res, 2011. 211(3-4): p. 613-30.

    Article  PubMed  Google Scholar 

  7. Pezzulo, G. and F. Rigoli, The value of foresight: how prospection affects decision-making. Front Neurosci, 2011. 5: p. 79.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Ito, M., The cerebellum: brain for an implicit self. 2011, Upper Saddle River, N.J.: FT Press. ix, 285 p., 16 p. of plates.

    Google Scholar 

  9. Jeannerod, M., The representing brain: Neural correlates of motor intention and imagery. Behavioral and Brain Sciences, 1994. 17(02): p. 187.

    Article  Google Scholar 

  10. Jeannerod, M., Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage, 2001. 14(1 Pt 2): p. S103-9.

    Article  PubMed  Google Scholar 

  11. Wadsworth, H.M. and R.K. Kana, Brain mechanisms of perceiving tools and imagining tool use acts: a functional MRI study. Neuropsychologia, 2011. 49(7): p. 1863-9.

    Article  PubMed  Google Scholar 

  12. Koziol, L.F., D.E. Budding, and D. Chidekel, Sensory integration, sensory processing, and sensory modulation disorders: putative functional neuroanatomic underpinnings. Cerebellum, 2011. 10(4): p. 770-92.

    Article  PubMed  Google Scholar 

  13. Miall, R.C., Connecting mirror neurons and forward models. Neuroreport, 2003. 14(17): p. 2135-7.

    Article  PubMed  Google Scholar 

  14. Hotz-Boendermaker, S., et al., Movement observation activates lower limb motor networks in chronic complete paraplegia. Neurorehabil Neural Repair, 2011. 25(5): p. 469-76.

    Article  PubMed  Google Scholar 

  15. Johnson-Frey, S.H., R. Newman-Norlund, and S.T. Grafton, A distributed left hemisphere network active during planning of everyday tool use skills. Cereb Cortex, 2005. 15(6): p. 681-95.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Kilner, J.M. and Chris D. Frith, Action Observation: Inferring Intentions without Mirror Neurons. Current Biology, 2008. 18(1): p. R32-R33.

    Article  PubMed  Google Scholar 

  17. Ramsey, R., E.S. Cross, and C.H.A.F. de, Predicting others’ actions via grasp and gaze: evidence for distinct brain networks. Psychol Res, 2012. 76(4): p. 494-502.

    Article  PubMed  Google Scholar 

  18. Damasio, A.R., The feeling of what happens: body and emotion in the making of consciousness. 1st ed. 1999, New York: Harcourt Brace. xii, 386 p.

    Google Scholar 

  19. Amador, S.C., et al., Dissociating cognitive deficits involved in voluntary eye movement dysfunctions in Parkinson’s disease patients. Neuropsychologia, 2006. 44(8): p. 1475-82.

    Article  PubMed  Google Scholar 

  20. Roberts, W., M.T. Fillmore, and R. Milich, Linking impulsivity and inhibitory control using manual and oculomotor response inhibition tasks. Acta Psychol (Amst), 2011. 138(3): p. 419-28.

    Article  Google Scholar 

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Koziol, L.F. (2014). Why People Who Cannot Move Are Able to Think. In: The Myth of Executive Functioning. SpringerBriefs in Neuroscience(). Springer, Cham. https://doi.org/10.1007/978-3-319-04477-4_22

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