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Peckre LR, Fabre AC, Wall CE, Pouydebat E, Whishaw IQ. Evolutionary History of food Withdraw Movements in Primates: Food Withdraw is Mediated by Nonvisual Strategies in 22 Species of Strepsirrhines. Evol Biol 2023. [DOI: 10.1007/s11692-023-09598-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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Torricelli F, Tomassini A, Pezzulo G, Pozzo T, Fadiga L, D'Ausilio A. Motor invariants in action execution and perception. Phys Life Rev 2023; 44:13-47. [PMID: 36462345 DOI: 10.1016/j.plrev.2022.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022]
Abstract
The nervous system is sensitive to statistical regularities of the external world and forms internal models of these regularities to predict environmental dynamics. Given the inherently social nature of human behavior, being capable of building reliable predictive models of others' actions may be essential for successful interaction. While social prediction might seem to be a daunting task, the study of human motor control has accumulated ample evidence that our movements follow a series of kinematic invariants, which can be used by observers to reduce their uncertainty during social exchanges. Here, we provide an overview of the most salient regularities that shape biological motion, examine the role of these invariants in recognizing others' actions, and speculate that anchoring socially-relevant perceptual decisions to such kinematic invariants provides a key computational advantage for inferring conspecifics' goals and intentions.
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Affiliation(s)
- Francesco Torricelli
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy; Center for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy
| | - Alice Tomassini
- Center for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy
| | - Giovanni Pezzulo
- Institute of Cognitive Sciences and Technologies, National Research Council, Via San Martino della Battaglia 44, 00185 Rome, Italy
| | - Thierry Pozzo
- Center for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy; INSERM UMR1093-CAPS, UFR des Sciences du Sport, Université Bourgogne Franche-Comté, F-21000, Dijon, France
| | - Luciano Fadiga
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy; Center for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy
| | - Alessandro D'Ausilio
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy; Center for Translational Neurophysiology of Speech and Communication, Italian Institute of Technology, Via Fossato di Mortara, 17-19, 44121 Ferrara, Italy.
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Capellini R, Sacchi S. "Be careful what you do": How social threat influences social attention driven by reach-to-grasp movements. The Journal of Social Psychology 2021; 162:199-215. [PMID: 33860728 DOI: 10.1080/00224545.2021.1902920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Social attention is the ability to share with social partners the attentional focus on an object and to orient attentional resources after observing others' behaviors. In the present work, we analyzed whether social threat may influence social attention during the observation of social agents' reach-to-grasp movements. In two experimental studies, we adopted a Posner-like paradigm: participants were required to classify neutral stimuli appearing in a congruent or incongruent position with the actor's movement. Membership (ingroup vs. outgroup) and contextual cues (neutral vs. threatening objects) were manipulated. The results showed a robust action-cueing effect: responses to stimuli in a congruent position with the actor's action were faster than responses to incongruent stimuli. Interestingly, we found a stronger effect for the threatening outgroup (i.e., Iraqi) than for the ingroup (i.e., Italian), especially in presence of menacing objects. No effects were found when observing the non-threatening outgroup (i.e., Japanese).
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Affiliation(s)
| | - Simona Sacchi
- Department of Psychology, University of Milano-Bicocca
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Suresh AK, Goodman JM, Okorokova EV, Kaufman M, Hatsopoulos NG, Bensmaia SJ. Neural population dynamics in motor cortex are different for reach and grasp. eLife 2020; 9:e58848. [PMID: 33200745 PMCID: PMC7688308 DOI: 10.7554/elife.58848] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 10/27/2020] [Indexed: 11/25/2022] Open
Abstract
Low-dimensional linear dynamics are observed in neuronal population activity in primary motor cortex (M1) when monkeys make reaching movements. This population-level behavior is consistent with a role for M1 as an autonomous pattern generator that drives muscles to give rise to movement. In the present study, we examine whether similar dynamics are also observed during grasping movements, which involve fundamentally different patterns of kinematics and muscle activations. Using a variety of analytical approaches, we show that M1 does not exhibit such dynamics during grasping movements. Rather, the grasp-related neuronal dynamics in M1 are similar to their counterparts in somatosensory cortex, whose activity is driven primarily by afferent inputs rather than by intrinsic dynamics. The basic structure of the neuronal activity underlying hand control is thus fundamentally different from that underlying arm control.
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Affiliation(s)
- Aneesha K Suresh
- Committee on Computational Neuroscience, University of ChicagoChicagoUnited States
| | - James M Goodman
- Committee on Computational Neuroscience, University of ChicagoChicagoUnited States
| | | | - Matthew Kaufman
- Committee on Computational Neuroscience, University of ChicagoChicagoUnited States
- Department of Organismal Biology and Anatomy, University of ChicagoChicagoUnited States
- Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of ChicagoChicagoUnited States
| | - Nicholas G Hatsopoulos
- Committee on Computational Neuroscience, University of ChicagoChicagoUnited States
- Department of Organismal Biology and Anatomy, University of ChicagoChicagoUnited States
- Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of ChicagoChicagoUnited States
| | - Sliman J Bensmaia
- Committee on Computational Neuroscience, University of ChicagoChicagoUnited States
- Department of Organismal Biology and Anatomy, University of ChicagoChicagoUnited States
- Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of ChicagoChicagoUnited States
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Castiello U, Dadda M. A review and consideration on the kinematics of reach-to-grasp movements in macaque monkeys. J Neurophysiol 2018; 121:188-204. [PMID: 30427765 DOI: 10.1152/jn.00598.2018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The bases for understanding the neuronal mechanisms that underlie the control of reach-to-grasp movements among nonhuman primates, particularly macaques, has been widely studied. However, only a few kinematic descriptions of their prehensile actions are available. A thorough understanding of macaques' prehensile movements is manifestly critical, in light of their role in biomedical research as valuable models for studying neuromotor disorders and brain mechanisms, as well as for developing brain-machine interfaces to facilitate arm control. This article aims to review the current state of knowledge on the kinematics of grasping movements that macaques perform in naturalistic, seminaturalistic, and laboratory settings, to answer the following questions: Are kinematic signatures affected by the context within which the movement is performed? In what ways are kinematics of humans' and macaques' prehensile actions similar/dissimilar? Our analysis reflects the challenges involved in making comparisons across settings and species due to the heterogeneous picture in terms of the number of subjects, stimuli, conditions, and hands used. The kinematics of free-ranging macaques are characterized by distinctive features that are exhibited neither by macaques in laboratory setting nor by human subjects. The temporal incidence of key kinematic landmarks diverges significantly between species, indicating disparities in the overall organization of movement. Given such complexities, we attempt a synthesis of the extant body of evidence, intending to generate some significant implications for directions that future research might take to recognize the remaining gaps and pursue the insights and resolutions to generate an interpretation of movement kinematics that accounts for all settings and subjects.
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Affiliation(s)
- Umberto Castiello
- Department of General Psychology, University of Padova , Padua , Italy
| | - Marco Dadda
- Department of General Psychology, University of Padova , Padua , Italy
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