Primary motor cortex crucial for action prediction: A tDCS study

Paracampo, Riccardo; Montemurro, Mirella; Vega, Manuel de; Avenanti, Alessio

doi:10.1016/j.cortex.2018.09.019

Cited by 20 publications

(12 citation statements)

References 148 publications

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“…In the present study, we applied a tDCS protocol similar to that described by Paracampo et al (2018). Our findings are somewhat comparable to those reported in their paper, in the sense that cathodal stimulation over M1, compared with sham, has indeed modulated the way that our overweight participants perceived and simulated the viewed actions.…”

Section: Discussionsupporting

confidence: 88%

“…More recently, however, a series of neurophysiological studies has revealed a modulation of neuronal activity in M1 during action observation, similar to that of action execution, thus leading researchers to propose that M1 could be considered part of an extended AON (Naish, Houston-Price, Bremner, & Holmes, 2014;Valchev et al, 2015;Vigneswaran, Philipp, Lemon, & Kraskov, 2013). In a more recent study, Paracampo et al (2018) have shown that cathodal tDCS over M1 impaired the participants' accuracy in an action prediction task, but only when the observed actions were performed by humans compared with nonhumans. Thus, they provided seminal causal evidence of the critical role of M1 in action simulation and prediction.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, the task was performed in two counterbalanced sessions performed immediately after active (cathodal tDCS) or sham tDCS over left M1. In keeping with previous studies indicating that cathodal currents over the region reduce M1 excitability (Nitsche et al, 2008;Nitsche & Paulus, 2011;Paracampo et al, 2018;Stagg, Antal, & Nitsche, 2018), we applied a similar protocol for the active tDCS condition (cathodal tDCS, 2mA stimulation intensity, 15-min duration).…”

Section: Introductionmentioning

confidence: 99%

“…However, there is so far elusive evidence for whether it is essential for MR (Avenanti, Bolognini, Maravita, & Aglioti, 2007;Naish, Barnes, & Obhi, 2016;Valchev, Tidoni, Hamilton, Gazzola, & Avenanti, 2017). In a recent seminal study, Paracampo, Montemurro, de Vega, and Avenanti (2018) investigated the causal role of M1 in human action prediction by means of transcranial direct current stimulation (tDCS). Their results indicated that tDCS perturbation of the primary motor cortex (M1) could diminish the subjects' ability to make accurate predictions about the observed actions.…”

Section: Introductionmentioning

confidence: 99%

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Implicit visual sensitivity towards slim versus overweight bodies modulates motor resonance in the primary motor cortex: A tDCS study

Makris

Cazzato

2020

Cogn Affect Behav Neurosci

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Motor resonance (MR) can be influenced by individual differences and similarity in the physical appearance between the actor and observer. Recently, we reported that action simulation is modulated by an implicit visual sensitivity towards normal-weight compared with overweight bodies. Furthermore, recent research has suggested the existence of an action observation network responsible for MR, with limited evidence whether the primary motor cortex (M1) is part of this. We expanded our previous findings with regards to the role of an implicit normal-weight-body preference in the MR mechanism. At the same time, we tested the functional relevance of M1 to MR, by using a transcranial direct current stimulation (tDCS) protocol. Seventeen normal-weight and 17 overweight participants were asked to observe normal-weight or overweight actors reaching and grasping a light or heavy cube, and then, at the end of each video-clip to indicate the correct cube weight. Before the task, all participants received 15 min of sham or cathodal tDCS over the left M1. Measures of anti-fat attitudes were also collected. During sham tDCS, all participants were better in simulating the actions performed by normal-weight compared with overweight models. Surprisingly, cathodal tDCS selectively improved the ability in the overweight group to simulate actions performed by the overweight models. This effect was not associated with scores of fat phobic attitudes or implicit anti-fat bias. Our findings are discussed in the context of relevance of M1 to MR and its social modulation by anti-fat attitudes.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Implicit visual sensitivity towards slim versus overweight bodies modulates motor resonance in the primary motor cortex: A tDCS study

Makris

Cazzato

2020

Cogn Affect Behav Neurosci

View full text Add to dashboard Cite

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“…In particular, a study by Schubotz and co-workers [38] showed that sequential presentations of biological (i.e., action) and non-biological abstract stimuli (i.e., circles) share the recruitment of premotor regions, while triggering distinctive patterns of activations in other fronto-parietal areas. In a similar vein, a more recent study by Paracampo and co-workers [39] asked participants to predict the outcome of hand or shape movements and found that, in spite of comparable difficulty, only the first task was affected by interferential stimulation of the left primary motor cortex. In both of these studies, moving shapes were used as control stimuli for assessing the action-specific or the domain general brain involvement in predictive mechanisms.…”

Section: Introductionmentioning

confidence: 89%

Autistic Traits Differently Account for Context-Based Predictions of Physical and Social Events

et al. 2020

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Autism is associated with difficulties in making predictions based on contextual cues. Here, we investigated whether the distribution of autistic traits in the general population, as measured through the Autistic Quotient (AQ), is associated with alterations of context-based predictions of social and non-social stimuli. Seventy-eight healthy participants performed a social task, requiring the prediction of the unfolding of an action as interpersonal (e.g., to give) or individual (e.g., to eat), and a non-social task, requiring the prediction of the appearance of a moving shape as a short (e.g., square) or a long (e.g., rectangle) figure. Both tasks consisted of (i) a familiarization phase, in which the association between each stimulus type and a contextual cue was manipulated with different probabilities of co-occurrence, and (ii) a testing phase, in which visual information was impoverished by early occlusion of video display, thus forcing participants to rely on previously learned context-based associations. Findings showed that the prediction of both social and non-social stimuli was facilitated when embedded in high-probability contexts. However, only the contextual modulation of non-social predictions was reduced in individuals with lower ‘Attention switching’ abilities. The results provide evidence for an association between weaker context-based expectations of non-social events and higher autistic traits.

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Decoding motor expertise from fine‐tuned oscillatory network organization

Amoruso

Pusil

García

et al. 2022

Human Brain Mapping

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Can motor expertise be robustly predicted by the organization of frequency‐specific oscillatory brain networks? To answer this question, we recorded high‐density electroencephalography (EEG) in expert Tango dancers and naïves while viewing and judging the correctness of Tango‐specific movements and during resting. We calculated task‐related and resting‐state connectivity at different frequency‐bands capturing task performance (delta [δ], 1.5–4 Hz), error monitoring (theta [θ], 4–8 Hz), and sensorimotor experience (mu [μ], 8–13 Hz), and derived topographical features using graph analysis. These features, together with canonical expertise measures (i.e., performance in action discrimination, time spent dancing Tango), were fed into a data‐driven computational learning analysis to test whether behavioral and brain signatures robustly classified individuals depending on their expertise level. Unsurprisingly, behavioral measures showed optimal classification (100%) between dancers and naïves. When considering brain models, the task‐based classification performed well (~73%), with maximal discrimination afforded by theta‐band connectivity, a hallmark signature of error processing. Interestingly, mu connectivity during rest outperformed (100%) the task‐based approach, matching the optimal classification of behavioral measures and thus emerging as a potential trait‐like marker of sensorimotor network tuning by intense training. Overall, our findings underscore the power of fine‐tuned oscillatory network signatures for capturing expertise‐related differences and their potential value in the neuroprognosis of learning outcomes.

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Primary motor cortex crucial for action prediction: A tDCS study

Cited by 20 publications

References 148 publications

Implicit visual sensitivity towards slim versus overweight bodies modulates motor resonance in the primary motor cortex: A tDCS study

Implicit visual sensitivity towards slim versus overweight bodies modulates motor resonance in the primary motor cortex: A tDCS study

Autistic Traits Differently Account for Context-Based Predictions of Physical and Social Events

Decoding motor expertise from fine‐tuned oscillatory network organization

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