[en] Enactive cognition emphasizes co-constructive roles of humans and their environment in shaping cognitive processes. It is specifically engaged in the mental simulation of behaviors, enhancing the connection between perception and action. Here we investigated the core network of brain regions involved in enactive cognition as applied to mental simulations of physical exercise. We used a neuroimaging paradigm in which participants (N = 103) were required to project themselves running or plogging (running while picking-up litter) along an image-guided naturalistic trail. Using both univariate and multivariate brain imaging analyses, we find that a broad spectrum of brain activation discriminates between the mental simulation of plogging versus running. Critically, we show that self-reported ratings of daily life running engagement and the quality of mental simulation (how well participants were able to imagine themselves running) modulate the brain reactivity to plogging versus running. Finally, we undertook functional connectivity analyses centered on the insular cortex, which is a key region in the dynamic interplay between neurocognitive processes. This analysis revealed increased positive and negative patterns of insular-centered functional connectivity in the plogging condition (as compared to the running condition), thereby confirming the key role of the insular cortex in action simulation involving complex sets of mental mechanisms. Taken together, the present findings provide new insights into the brain networks involved in the enactive mental simulation of physical exercise.
Disciplines :
Neurosciences & comportement
Auteur, co-auteur :
PHILIPS, Roxane ✱; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Health and Behaviour
Baeken, Chris ; Department of Psychiatry, University Hospital, UZ Brussel, Brussels, Belgium ; Ghent Experimental Psychiatry (GHEP) Lab, Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium ; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
Billieux, Joël ; Institute of Psychology, University of Lausanne, Lausanne, Switzerland ; Centre for Excessive Gambling, Addiction Medicine, Lausanne University Hospitals (CHUV), Lausanne, Switzerland
HARRIS, James ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Health and Behaviour
Maurage, Pierre ; Louvain Experimental Psychopathology Research Group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
Muela, Ismael ; Department of Experimental Psychology, Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
Öz, İrem Tuğçe ; Louvain Experimental Psychopathology Research Group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
Pabst, Arthur ; Louvain Experimental Psychopathology Research Group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
Sescousse, Guillaume ; Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 Team, University of Lyon, Lyon, France
BREVERS, Damien ✱; University of Luxembourg > Faculty of Humanities, Education and Social Sciences > Department of Behavioural and Cognitive Sciences > Team Claus VÖGELE ; Ghent Experimental Psychiatry (GHEP) Lab, Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium ; Louvain Experimental Psychopathology Research Group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
✱ Ces auteurs ont contribué de façon équivalente à la publication.
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Brain mechanisms discriminating enactive mental simulations of running and plogging.
Fonds National de la Recherche Luxembourg Fonds De La Recherche Scientifique - FNRS Queen Elisabeth Medical Foundation Fonds Wetenschappelijk Onderzoek
Abbiss, C. R., Peiffer, J. J., Meeusen, R., & Skorski, S. (2015). Role of ratings of perceived exertion during self-paced exercise: What are we actually measuring? Sports Medicine, 45(9), 1235–1243. https://doi.org/10.1007/s40279-015-0344-5
Abraham, A. (2016). The imaginative mind. Human Brain Mapping, 37(11), 4197–4211. https://doi.org/10.1002/hbm.23300
Aglioti, S. M., Cesari, P., Romani, M., & Urgesi, C. (2008). Action anticipation and motor resonance in elite basketball players. Nature Neuroscience, 11(9), 1109–1116. https://doi.org/10.1038/nn.2182
Andersson, J. L. R., Jenkinson, M., & Smith, S. (2007a). Non-linear optimisation (FMRIB Technical Report 557 TR07JA1). FMRIB Analysis Group. www.fmrib.ox.ac.uk/datasets/techrep
Andersson, J. L. R., Jenkinson, M., & Smith, S. (2007b). Non-linear registration, aka spatial normalisation (FMRIB Technical Report TR07JA2). FMRIB Analysis Group. www.fmrib.ox.ac.uk/datasets/techrep
Andersson, P., Ragni, F., & Lingnau, A. (2019). Visual imagery during real-time fMRI neurofeedback from occipital and superior parietal cortex. NeuroImage, 200, 332–343. https://doi.org/10.1016/j.neuroimage.2019.06.057
Araùjo, D., Davids, M., & McGivern, P. (2019). The irreducible embeddedness of action choice in sport. In M. L. Cappuccio (Ed.), Handbook of embodied cognition and sport psychology (pp. 537–556). The MIT Press.
Araùjo, D., Keith, D., & Robert, H. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise, 7, 653–676.
Araùjo, D., Travassos, B., & Vilar, L. (2010). Tactical skills are not verbal skills: A comment on Kannekens and colleagues. Perceptual and Motor Skills, 110, 1086–1088.
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
Batula, A. M., Mark, J. A., Kim, Y. E., & Ayaz, H. (2017). Comparison of brain activation during motor imagery and motor movement using fNIRS. Computational Intelligence and Neuroscience, 2017, 5491296. https://doi.org/10.1155/2017/5491296
Bazgir, B., Shamseddini, A., Hogg, J. A., Ghadiri, F., Bahmani, M., & Diekfuss, J. A. (2023). Is cognitive control of perception and action via attentional focus moderated by motor imagery? BMC Psychology, 11(1), 12. https://doi.org/10.1186/s40359-023-01047-z
Berthoz, A. (1997). Parietal and hippocampal contribution to topokinetic and topographic memory. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 352(1360), 1437–1448. https://doi.org/10.1098/rstb.1997.0130
Bird, C. M., & Burgess, N. (2008). The hippocampus and memory: Insights from spatial processing. Nature Reviews. Neuroscience, 9(3), 182–194. https://doi.org/10.1038/nrn2335
Brevers, D., Baeken, C., Maurage, P., Sescousse, G., Vögele, C., & Billieux, J. (2021). Brain mechanisms underlying prospective thinking of sustainable behaviours. Nature Sustainability, 4, 433–439. https://doi.org/10.1038/s41893-020-00658-3
Brevers, D., Billieux, J., de Timary, P., Desmedt, O., Maurage, P., Perales, J. C., Suárez-Suárez, S., & Bechara, A. (2024). Physical exercise to Redynamize Interoception in substance use disorders. Current Neuropharmacology, 22, 1047–1063. https://doi.org/10.2174/1570159X21666230314143803
Buchwald, M., Przybylski, Ł., & Króliczak, G. (2018). Decoding brain states for planning functional grasps of tools: A functional magnetic resonance imaging multivoxel pattern analysis study. Journal of the International Neuropsychological Society, 24(10), 1013–1025. https://doi.org/10.1017/S1355617718000590
Buckner, R. L., & Carroll, D. C. (2007). Self-projection and the brain. Trends in Cognitive Sciences, 11(2), 49–57. https://doi.org/10.1016/j.tics.2006.11.004
Burianová, H., Marstaller, L., Sowman, P., Tesan, G., Rich, A. N., Williams, M., Savage, G., & Johnson, B. W. (2013). Multimodal functional imaging of motor imagery using a novel paradigm. NeuroImage, 71, 50–58. https://doi.org/10.1016/j.neuroimage.2013.01.001
Cancer, A., Pirola, C., Fogassi, L., & Antonietti, A. (2024). Influence of sport expertise in facilitating and inhibiting the recognition of the opponent's intentions in sailing. Frontiers in Human Neuroscience, 17, 1285963. https://doi.org/10.3389/fnhum.2023.1285963
Carvalho, H., Correia, C., & Araùjo, D. (2013). A constraints led approach to skill enhancement in tennis. ITF Coaching and Sport Science Review, 60, 10–11.
Cengiz, B., & Boran, H. E. (2016). The role of the cerebellum in motor imagery. Neuroscience Letters, 617, 156–159. https://doi.org/10.1016/j.neulet.2016.01.045
Chang, L. J., Yarkoni, T., Khaw, M. W., & Sanfey, A. G. (2013). Decoding the role of the insula in human cognition: Functional parcellation and large-scale reverse inference. Cerebral Cortex, 23(3), 739–749. https://doi.org/10.1093/cercor/bhs065
Christian, B. M., Miles, L. K., Parkinson, C., & Macrae, C. N. (2013). Visual perspective and the characteristics of mind wandering. Frontiers in Psychology, 4, 699. https://doi.org/10.3389/fpsyg.2013.00699
Ciaramelli, E., Lin, O., & Moscovitch, M. (2009). Episodic memory for spatial context biases spatial attention. Experimental Brain Research, 192(3), 511–520. https://doi.org/10.1007/s00221-008-1548-9
Conson, M., Sarà, M., Pistoia, F., & Trojano, L. (2009). Action observation improves motor imagery: Specific interactions between simulative processes. Experimental Brain Research, 199(1), 71–81. https://doi.org/10.1007/s00221-009-1974-3
Correia, V., Araùjo, D., Cummins, A., & Craig, C. M. (2012). Perceiving and acting upon spaces in a VR Rugby task: Expertise effects in affordance detection and task achievement. Journal of Sport and Exercise Psychology, 34, 305–321.
Costa, S., Berchicci, M., Bianco, V., Croce, P., Di Russo, F., Quinzi, F., Bertollo, M., & Zappasodi, F. (2023). Brain dynamics of visual anticipation during spatial occlusion tasks in expert tennis players. Psychology of Sport and Exercise, 65, 102335. https://doi.org/10.1016/j.psychsport.2022.102335
Coutanche, M. N., & Thompson-Schill, S. L. (2013). Informational connectivity: Identifying synchronized discriminability of multi-voxel patterns across the brain. Frontiers in Human Neuroscience, 7, 15. https://doi.org/10.3389/fnhum.2013.00015
Craig, A. D. (2002). How do you feel? Interoception: The sense of the physiological condition of the body. Nature Review Neuroscience, 3, 655–666.
Craig, A. D. (2009). How do you feel-now? The anterior insula and human awareness. Nature Reviews. Neuroscience, 10(1), 59–70. https://doi.org/10.1038/nrn2555
Cross, E. S., Hamilton, A. F., & Grafton, S. T. (2006). Building a motor simulation de novo: Observation of dance by dancers. NeuroImage, 31(3), 1257–1267. https://doi.org/10.1016/j.neuroimage.2006.01.033
Davey, C. G., Pujol, J., & Harrison, B. J. (2016). Mapping the self in the brain's default mode network. NeuroImage, 132, 390–397. https://doi.org/10.1016/j.neuroimage.2016.02.022
Di Nota, P. M., Levkov, G., Bar, R., & De Souza, J. F. X. (2016). Lateral occipitotemporal cortex (LOTC) activity is greatest while viewing dance compared to visualization and movement: Learning and expertise effects. Experimental Brain Research, 234(7), 2007–2023. https://doi.org/10.1007/s00221-016-4607-7
Doell, K. C., Berman, M. G., Bratman, G. N., Knutson, B., Kühn, S., Lamm, C., Pahl, S., Sawe, N., van Bavel, J. J., White, M. P., & Brosch, T. (2023). Leveraging neuroscience for climate change research. Nature Climate Change, 13, 1129–1288. https://doi.org/10.1038/s41558-023-01857-4
Dosenbach, N. U. F., Raichle, M. E., & Gordon, E. M. (2024). The brain's cingulo-opercular action-mode network. https://doi.org/10.31234/osf.io/2vt79
Droutman, V., Bechara, A., & Read, S. J. (2015). Roles of the different sub-regions of the insular cortex in various phases of the decision-making process. Frontiers in Behavioral Neuroscience, 9, 309. https://doi.org/10.3389/fnbeh.2015.00309
Droutman, V., Read, S. J., & Bechara, A. (2015). Revisiting the role of the insula in addiction. Trends in Cognitive Sciences, 19(7), 414–420. https://doi.org/10.1016/j.tics.2015.05.005
du Boisgueheneuc, F., Levy, R., Volle, E., Seassau, M., Duffau, H., Kinkingnehun, S., Samson, Y., Zhang, S., & Dubois, B. (2006). Functions of the left superior frontal gyrus in humans: A lesion study. Brain, 129(12), 3315–3328. https://doi.org/10.1093/brain/awl244
Ekkekakis, P., Parfitt, G., & Petruzzello, S. J. (2011). The pleasure and displeasure people feel when they exercise at different intensities: Decennial update and progress towards a tripartite rationale for exercise intensity prescription. Sports Medicine, 41(8), 641–671. https://doi.org/10.2165/11590680-000000000-00000
Federico, G., Osiurak, F., Ciccarelli, G., Ilardi, C. R., Cavaliere, C., Tramontano, L., Alfano, V., Migliaccio, M., Di Cecca, A., Salvatore, M., & Brandimonte, M. A. (2023). On the functional brain networks involved in tool-related action understanding. Communications Biology, 6(1), 1163. https://doi.org/10.1038/s42003-023-05518-2
Filgueiras, A., Quintas Conde, E. F., & Hall, C. R. (2018). The neural basis of kinesthetic and visual imagery in sports: An ALE meta-analysis. Brain Imaging and Behavior, 12(5), 1513–1523. https://doi.org/10.1007/s11682-017-9813-9
Frazão, D. T., de Farias Junior, L. F., Dantas, T. C., Krinski, K., Elsangedy, H. M., Prestes, J., Hardcastle, S. J., & Costa, E. C. (2016). Feeling of pleasure to high-intensity interval exercise is dependent of the number of work bouts and physical activity status. PLoS One, 11(3), e0152752. https://doi.org/10.1371/journal.pone.0152752
Friston, K. J. (2011). Functional and effective connectivity: A review. Brain Connectivity, 1(1), 13–36.
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997). Psychophysiological and modulatory interactions in neuroimaging. NeuroImage, 6(3), 218–229.
Friston, K. J., Holmes, A. P., Poline, J. B., Grasby, P. J., Williams, S. C., Frackowiak, R. S., & Turner, R. (1995). Analysis of fMRI time-series revisited. NeuroImage, 2(1), 45–53. https://doi.org/10.1006/nimg.1995.1007
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. P., & Frith, C. (1994). Frackowiak RS. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping, 2(4), 189–210.
Galla, B. M., & Duckworth, A. L. (2015). More than resisting temptation: Beneficial habits mediate the relationship between self-control and positive life outcomes. Journal of Personality and Social Psychology, 109(3), 508–525. https://doi.org/10.1037/pspp0000026
Gallagher, S. (2005). How the body shapes the mind. Oxford University Press.
Gallagher, S. (2011). Interpretations of embodied cognition. In W. Tschacher & C. Bergomi (Eds.), The implications of embodiment: Cognition and communication (pp. 59–70). Imprint Academic.
Gallagher, S. (2017). Enactivist interventions: Rethinking the mind. Oxford University Press.
Gerardin, E., Sirigu, A., Lehéricy, S., Poline, J. B., Gaymard, B., Marsault, C., Agid, Y., & Le Bihan, D. (2000). Partially overlapping neural networks for real and imagined hand movements. Cerebral Cortex, 10(11), 1093–1104. https://doi.org/10.1093/cercor/10.11.1093
Gilmore, A. W., Nelson, S. M., & McDermott, K. B. (2021). Precision functional mapping of human memory systems. Current Opinion in Behavioral Sciences, 40, 52–57.
González, B., Rodríguez, M., Ramirez, C., & Sabaté, M. (2005). Disturbance of motor imagery after cerebellar stroke. Behavioral Neuroscience, 119(2), 622–626. https://doi.org/10.1037/0735-7044.119.2.622
Gordon, E. M., Chauvin, R. J., Van, A. N., Rajesh, A., Nielsen, A., Newbold, D. J., Lynch, C. J., Seider, N. A., Krimmel, S. R., Scheidter, K. M., Monk, J., Miller, R. L., Metoki, A., Montez, D. F., Zheng, A., Elbau, I., Madison, T., Nishino, T., Myers, M. J., … Dosenbach, N. U. F. (2023). A somato-cognitive action network alternates with effector regions in motor cortex. Nature, 617(7960), 351–359. https://doi.org/10.1038/s41586-023-05964-2
Gottlieb, J. (2007). From a different point of view: Extrastriate cortex integrates information across saccades. Focus on “remapping in human visual cortex”. Journal of Neurophysiology, 97(2), 961–962. https://doi.org/10.1152/jn.01225.2006
Grèzes, J., & Decety, J. (2001). Functional anatomy of execution, mental simulation, observation, and verb generation of actions: A meta-analysis. Human Brain Mapping, 12(1), 1–19. https://doi.org/10.1002/1097-0193(200101)12:1<1::aid-hbm10>3.0.co;2-v
Hanakawa, T., Dimyan, M. A., & Hallett, M. (2008). Motor planning, imagery, and execution in the distributed motor network: A time-course study with functional MRI. Cerebral Cortex, 18(12), 2775–2788. https://doi.org/10.1093/cercor/bhn036
Haynes, J. D. (2015). A primer on pattern-based approaches to fMRI: Principles, pitfalls, and perspectives. Neuron, 87(2), 257–270. https://doi.org/10.1016/j.neuron.2015.05.025
Herold, F., Wiegel, P., Scholkmann, F., & Müller, N. G. (2018). Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: A systematic, methodology-focused review. Journal of Clinical Medicine, 7(12), 466. https://doi.org/10.3390/jcm7120466
Hétu, S., Grégoire, M., Saimpont, A., Coll, M. P., Eugène, F., Michon, P. E., & Jackson, P. L. (2013). The neural network of motor imagery: An ALE meta-analysis. Neuroscience and Biobehavioral Reviews, 37(5), 930–949. https://doi.org/10.1016/j.neubiorev.2013.03.017
Hilty, L., Langer, N., Pascual-Marqui, R., Boutellier, U., & Lutz, K. (2011). Fatigue-induced increase in intracortical communication between mid/anterior insular and motor cortex during cycling exercise. European Journal of Neurosciences, 34(12), 2035–2042. https://doi.org/10.1111/j.1460-9568.2011.07909.x
Holmes, A., Nichols, T., Xi, Y., Thomas, E., & Maumet, C. (2018). SnPM (version 13.1.09). http://www.nisox.org/Software/SnPM13.
Hund-Georgiadis, M., & von Cramon, D. Y. (1999). Motor-learning-related changes in piano players and non-musicians revealed by functional magnetic-resonance signals. Experimental Brain Research, 125(4), 417–425. https://doi.org/10.1007/s002210050698
Jeannerod, M. (2001). Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage, 14(1), S103–S109. https://doi.org/10.1006/nimg.2001.0832
Jeannerod, M., & Decety, J. (1995). Mental motor imagery: A window into the representational stages of action. Current Opinion in Neurobiology, 5(6), 727–732. https://doi.org/10.1016/0959-4388(95)80099-9
Jenkinson, M. (2004). Improving the registration of B0-disorted EPI images using calculated cost function weights. Paper presented at: Tenth International Conference on Functional Mapping of the Human Brain (Budapest, Hungary).
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17, 825–841. https://doi.org/10.1006/nimg.2002.1132
Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5, 143–156.
Jimura, K., & Poldrack, R. A. (2012). Analyses of regional-average activation and multivoxel pattern information tell complementary stories. Neuropsychologia, 50(4), 544–552. https://doi.org/10.1016/j.neuropsychologia.2011.11.007
Kahn, J. H. (2011). Multilevel modeling: Overview and applications to research in counseling psychology. Journal of Counseling Psychology, 58, 257–271.
Karnath, H. O., & Baier, B. (2010). Right insula for our sense of limb ownership and self-awareness of actions. Brain Structure & Function, 214(5–6), 411–417. https://doi.org/10.1007/s00429-010-0250-4
Kilner, J. M., Kraskov, A., & Lemon, R. N. (2014). Do monkey F5 mirror neurons show changes in firing rate during repeated observation of natural actions? Journal of Neurophysiology, 111(6), 1214–1226. https://doi.org/10.1152/jn.01102.2012
Kim, H. (2010). Dissociating the roles of the default-mode, dorsal, and ventral networks in episodic memory retrieval. NeuroImage, 50(4), 1648–1657. https://doi.org/10.1016/j.neuroimage.2010.01.051
Kim, J., Sujin, K., & Jinwook, C. (2023). Examining the relationship between pro-environmental attitudes, self-determination, and sustained intention in eco-friendly sports participation: A study on Plogging participants. Sustainability, 15(15), 11806. https://doi.org/10.3390/su151511806
Kovacsova, Z., Bale, G., Mitra, S., Roever, I., Meek, J., Robertson, N., & Tachtsidis, I. (2018). Investigation of confounding factors in measuring tissue saturation with NIRS spatially resolved spectroscopy. In O. Thews, J. LaManna, & D. Harrison (Eds.), Oxygen transport to tissue XL. Advances in experimental medicine and biology (Vol. 1072). Springer. https://doi.org/10.1007/978-3-319-91287-5_49
Kraeutner, S. N., Stratas, A., McArthur, J. L., Helmick, C. A., Westwood, D. A., & Boe, S. G. (2020). Neural and behavioral outcomes differ following equivalent bouts of motor imagery or physical practice. Journal of Cognitive Neuroscience, 32(8), 1590–1606. https://doi.org/10.1162/jocn_a_01575
Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863–3868. https://doi.org/10.1073/pnas.0600244103
Krings, T., Töpper, R., Foltys, H., Erberich, S., Sparing, R., Willmes, K., & Thron, A. (2000). Cortical activation patterns during complex motor tasks in piano players and control subjects. A functional magnetic resonance imaging study. Neuroscience Letters, 278(3), 189–193. https://doi.org/10.1016/s0304-3940(99)00930-1
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13
Lee, W., & Choi, Y. (2023). Examining plogging in South Korea as a new social movement: From the perspective of Claus Offe's new social movement theory. International Journal of Environmental Research and Public Health, 20(5), 4469. https://doi.org/10.3390/ijerph20054469
Leech, R., & Sharp, D. J. (2014). The role of the posterior cingulate cortex in cognition and disease. Brain: A Journal of Neurology, 137(1), 12–32. https://doi.org/10.1093/brain/awt162
Lotze, M., Scheler, G., Tan, H.-R. M., Braun, C., & Birbaumer, N. (2003). The musician's brain: Functional imaging of amateurs and professionals during performance and imagery. NeuroImage, 20(3), 1817–1829. https://doi.org/10.1016/j.neuroimage.2003.07.018
Macdonald, S., van den Heiligenberg, F., Culham, J., & Makin, T. (2015). Localizing tool and hand-selective areas with fMRI: Comparing video and picture stimuli. Journal of Vision, 15(12), 982. https://doi.org/10.1167/15.12.982
Macdonald, S., van den Heiligenberg, F., Makin, T., & Culham, J. (2017). Videos are more effective than pictures at localizing tool- and hand-selective activation in fMRI. Journal of Vision, 17(10), 991. https://doi.org/10.1167/17.10.991
Maguire, E. A., Burgess, N., Donnett, J. G., Frackowiak, R. S., Frith, C. D., & O'Keefe, J. (1998). Knowing where and getting there: A human navigation network. Science, 280, 921–924. https://doi.org/10.1126/science.280.5365.921
Makris, S. (2014). Sport neuroscience revisited (?): A commentary. Frontiers in Human Neuroscience, 8, 929. https://doi.org/10.3389/fnhum.2014.00929
Martínez-Mirambell, C., Boned-Gómez, S., Urrea-Solano, M., & Baena-Morales, S. (2023). Step by step towards a greener future: The role of plogging in educating tomorrow's citizens. Sustainability, 15(18), 13558. https://doi.org/10.3390/su151813558
Martínez-Mirambell, C., García-Taibo, O., Ferriz-Valero, A., & Baena-Morales, S. (2023). Plogging improves environmental awareness in high school physical education students. Journal of Adventure Education and Outdoor Learning, 1–11. https://doi.org/10.1080/14729679.2023.2235705
Mellet, E., Briscogne, S., Tzourio-Mazoyer, N., Ghaëm, O., Petit, L., Zago, L., Etard, O., Berthoz, A., Mazoyer, B., & Denis, M. (2000). Neural correlates of topographic mental exploration: The impact of route versus survey perspective learning. NeuroImage, 12(5), 588–600. https://doi.org/10.1006/nimg.2000.0648
Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention and control: A network model of insula function. Brain Structure & Function, 214(5–6), 655–667. https://doi.org/10.1007/s00429-010-0262-0
Mizuguchi, N., Nakata, H., Uchida, Y., & Kanosue, K. (2012). Motor imagery and sport performance. Journal of Physical Fitness and Sports Medicine, 1, 103–111.
Molnar-Szakacs, I., & Uddin, L. Q. (2022). Anterior insula as a gatekeeper of executive control. Neuroscience and Biobehavioral Reviews, 139, 104736. https://doi.org/10.1016/j.neubiorev.2022.104736
Morone, G., Ghanbari Ghooshchy, S., Pulcini, C., Spangu, E., Zoccolotti, P., Martelli, M., Spitoni, G. F., Russo, V., Ciancarelli, I., Paolucci, S., & Iosa, M. (2022). Motor imagery and sport performance: A systematic review on the PETTLEP model. Applied Sciences, 12, 9753.
Munzert, J., Zentgraf, K., Stark, R., & Vaitl, D. (2008). Neural activation in cognitive motor processes: Comparing motor imagery and observation of gymnastic movements. Experimental Brain Research, 188(3), 437–444. https://doi.org/10.1007/s00221-008-1376-y
Mur, M., Bandettini, P. A., & Kriegeskorte, N. (2009). Revealing representational content with pattern-information fMRI—An introductory guide. Social Cognitive and Affective Neuroscience, 4(1), 101–109. https://doi.org/10.1093/scan/nsn044
Naito, E., & Ehrsson, H. H. (2001). Kinesthetic illusion of wrist movement activates motor-related areas. Neuroreport, 12(17), 3805–3809. https://doi.org/10.1097/00001756-200112040-00041
Nedelko, V., Hassa, T., Hamzei, F., Schoenfeld, M. A., & Dettmers, C. (2012). Action imagery combined with action observation activates more corticomotor regions than action observation alone. Journal of Neurologic Physical Therapy, 36(4), 182–188. https://doi.org/10.1097/NPT.0b013e318272cad1
Oosterhof, N. N., Connolly, A. C., & Haxby, J. V. (2016). CoSMoMVPA: Multi-modal multivariate pattern analysis of neuroimaging data in Matlab/GNU octave. Frontiers in Neuroinformatics, 10, 27. https://doi.org/10.3389/fninf.2016.00027
O'Reilly, J. X., Woolrich, M. W., Behrens, T. E., Smith, S. M., & Johansen-Berg, H. (2012). Tools of the trade: Psychophysiological interactions and functional connectivity. Social Cognitive and Affective Neuroscience, 7(5), 604–609. https://doi.org/10.1093/scan/nss055
Pace Giannotta, A. (2021). Autopoietic enactivism, phenomenology, and the problem of naturalism: A neutral monist proposal. Husserl Studies, 37(3), 209–228.
Pellicano, A., Mingoia, G., Ritter, C., Buccino, G., & Binkofski, F. (2021). Respiratory function modulated during execution, observation, and imagination of walking via SII. Scientific Reports, 11(1), 23752. https://doi.org/10.1038/s41598-021-03147-5
Radel, R., Pelletier, L., Pjevac, D., & Cheval, B. (2017). The links between self-determined motivations and behavioral automaticity in a variety of real-life behaviors. Motivation & Emotion, 41(4), 443–454. https://doi.org/10.1007/s11031-017-9618-6
Raghavan, R., Panicker, W., & Emmatty, F. (2022). Ergonomic risk and physiological assessment of plogging activity. Work, 72(4), 1337–1348. https://doi.org/10.3233/WOR-205210
Ritchey, M., & Cooper, R. A. (2020). Deconstructing the posterior medial episodic network. Trends in Cognitive Sciences, 24(6), 451–465. https://doi.org/10.1016/j.tics.2020.03.006
Robertson, K., De Waelle, S., Deconinck, F. J., & Lenoir, M. (2022). Differences in expertise level for anticipatory skill between badminton ‘in game’ strokes and serves. International Journal of Sports Science & Coaching, 17(4), 782–791. https://doi.org/10.1177/17479541211046910
Rolls, E. T. (2019). The cingulate cortex and limbic systems for emotion, action, and memory. Brain structure & function, 224(9), 3001–3018. https://doi.org/10.1007/s00429-019-01945-2
Ross, J. S., Tkach, J., Ruggieri, P. M., Lieber, M., & Lapresto, E. (2003). The mind's eye: Functional MR imaging evaluation of golf motor imagery. American Journal of Neuroradiology, 24(6), 1036–1044.
Ryding, E., Decety, J., Sjöholm, H., Stenberg, G., & Ingvar, D. H. (1993). Motor imagery activates the cerebellum regionally. A SPECT rCBF study with 99mTc-HMPAO. Brain Research. Cognitive Brain Research, 1(2), 94–99. https://doi.org/10.1016/0926-6410(93)90015-w
Sacheli, L. M., Verga, C., Zapparoli, L., Seghezzi, S., Tomasetig, G., Banfi, G., & Paulesu, E. (2023). When action prediction grows old: An fMRI study. Human Brain Mapping, 44(2), 373–387. https://doi.org/10.1002/hbm.26049
Sack, A. T. (2009). Parietal cortex and spatial cognition. Behavioural Brain Research, 202(2), 153–161. https://doi.org/10.1016/j.bbr.2009.03.012
Sack, A. T., Kohler, A., Bestmann, S., Linden, D. E., Dechent, P., Goebel, R., & Baudewig, J. (2007). Imaging the brain activity changes underlying impaired visuospatial judgments: Simultaneous FMRI, TMS, and behavioral studies. Cerebral Cortex, 17(12), 2841–2852. https://doi.org/10.1093/cercor/bhm013
Scalabrini, A., Wolman, A., & Northoff, G. (2021). The self and its right insula-differential topography and dynamic of right vs. left insula. Brain Sciences, 11(10), 1312. https://doi.org/10.3390/brainsci11101312
Seeley, W. W. (2019). The salience network: A neural system for perceiving and responding to homeostatic demands. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 39(50), 9878–9882. https://doi.org/10.1523/JNEUROSCI.1138-17.2019
Seghier, M. L. (2013). The angular gyrus: Multiple functions and multiple subdivisions. The Neuroscientist: A Review Journal Bringing Neurobiology, Neurology and Psychiatry, 19(1), 43–61. https://doi.org/10.1177/1073858412440596
Seiler, B. D., Monsma, E. V., & Newman-Norlund, R. D. (2015). Biological evidence of imagery abilities: Intraindividual differences. Journal of Sport & Exercise Psychology, 37(4), 421–435. https://doi.org/10.1123/jsep.2014-0303
Shen, Q. Q., Hou, J. M., Xia, T., Zhang, J. Y., Wang, D. L., Yang, Y., Luo, R., Xin, Z. L., Yin, H. C., & Cui, L. (2024). Exercise promotes brain health: A systematic review of fNIRS studies. Frontiers in Psychology, 15, 1327822. https://doi.org/10.3389/fpsyg.2024.1327822
Singh-Curry, V., & Husain, M. (2009). The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy. Neuropsychologia, 47(6), 1434–1448. https://doi.org/10.1016/j.neuropsychologia.2008.11.033
Spaniol, J., Davidson, P. S., Kim, A. S., Han, H., Moscovitch, M., & Grady, C. L. (2009). Event-related fMRI studies of episodic encoding and retrieval: Meta-analyses using activation likelihood estimation. Neuropsychologia, 47(8–9), 1765–1779. https://doi.org/10.1016/j.neuropsychologia.2009.02.028
Spreng, R. N., Mar, R. A., & Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis. Journal of Cognitive Neuroscience, 21(3), 489–510. https://doi.org/10.1162/jocn.2008.21029
Szychowska, A., & Drygas, W. (2022). Physical activity as a determinant of successful aging: A narrative review article. Aging Clinical and Experimental Research, 34(6), 1209–1214. https://doi.org/10.1007/s40520-021-02037-0
Tanaka, S., & Kirino, E. (2021). The precuneus contributes to embodied scene construction for singing in an opera. Frontiers in Human Neuroscience, 15, 737742. https://doi.org/10.3389/fnhum.2021.737742
Urgesi, C., Savonitto, M. M., Fabbro, F., & Aglioti, S. M. (2012). Long- and short-term plastic modeling of action prediction abilities in volleyball. Psychological Research, 76(4), 542–560. https://doi.org/10.1007/s00426-011-0383-y
Vander Wyk, B. C., Voos, A., & Pelphrey, K. A. (2012). Action representation in the superior temporal sulcus in children and adults: An fMRI study. Developmental Cognitive Neuroscience, 2(4), 409–416. https://doi.org/10.1016/j.dcn.2012.04.004
Villiger, M., Estévez, N., Hepp-Reymond, M. C., Kiper, D., Kollias, S. S., Eng, K., & Hotz-Boendermaker, S. (2013). Enhanced activation of motor execution networks using action observation combined with imagination of lower limb movements. PLoS One, 8(8), e72403. https://doi.org/10.1371/journal.pone.0072403
Vogt, S., Di Rienzo, F., Collet, C., Collins, A., & Guillot, A. (2013). Multiple roles of motor imagery during action observation. Frontiers in Human Neuroscience, 7, 807. https://doi.org/10.3389/fnhum.2013.00807
Vrana, A., Hotz-Boendermaker, S., Stämpfli, P., Hänggi, J., Seifritz, E., Humphreys, B. K., & Meier, M. L. (2015). Differential neural processing during motor imagery of daily activities in chronic low Back pain patients. PLoS One, 10(11), e0142391. https://doi.org/10.1371/journal.pone.0142391
Wang, Q., Cagna, B., Chaminade, T., & Takerkart, S. (2020). Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA. NeuroImage, 204, 116205. https://doi.org/10.1016/j.neuroimage.2019.116205
Weaverdyck, M. E., Lieberman, M. D., & Parkinson, C. (2020). Tools of the trade multivoxel pattern analysis in fMRI: A practical introduction for social and affective neuroscientists. Social Cognitive and Affective Neuroscience, 15(4), 487–509. https://doi.org/10.1093/scan/nsaa057
Wei, G., & Luo, J. (2010). Sport expert's motor imagery: Functional imaging of professional motor skills and simple motor skills. Brain Research, 13(41), 52–62. https://doi.org/10.1016/j.brainres.2009.08.014
Williamson, J. W., Fadel, P. J., & Mitchell, J. H. (2006). New insights into central cardiovascular control during exercise in humans: A central command update. Experimental Physiology, 91(1), 51–58. https://doi.org/10.1113/expphysiol.2005.032037
Williamson, J. W., McColl, R., Mathews, D., Mitchell, J. H., Raven, P. B., & Morgan, W. P. (2001). Hypnotic manipulation of effort sense during dynamic exercise: Cardiovascular responses and brain activation. Journal of Applied Physiology, 90(4), 1392–1399. https://doi.org/10.1152/jappl.2001.90.4.1392
Williamson, J. W., McColl, R., Mathews, D., Mitchell, J. H., Raven, P. B., & Morgan, W. P. (2002). Brain activation by central command during actual and imagined handgrip under hypnosis. Journal of Applied Physiology, 92(3), 1317–1324. https://doi.org/10.1152/japplphysiol.00939.2001
Yang, Y., Yang, H., Imai, F., & Ogawa, K. (2023). Distinct neural representations of hand movement direction between motor imagery and execution in the presupplementary motor area. Neuroscience Research, 191, 57–65. https://doi.org/10.1016/j.neures.2023.01.001
Zapparoli, L., Seghezzi, S., Sacheli, L. M., Verga, C., Banfi, G., & Paulesu, E. (2020). Eyes wide shut: How visual cues affect brain patterns of simulated gait. Human Brain Mapping, 41(15), 4248–4263. https://doi.org/10.1002/hbm.25123
Zhang, L., Qiu, F., Zhu, H., Xiang, M., & Zhou, L. (2019). Neural efficiency and acquired motor skills: An fMRI study of expert athletes. Frontiers in Psychology, 10, 2752. https://doi.org/10.3389/fpsyg.2019.02752
