Capturing the dynamics of peripersonal space by integrating expectancy effects and sound propagation properties

Hobeika, Lise; Taffou, Marine; Carpentier, Thibaut; Warusfel, Olivier; Viaud‐Delmon, Isabelle

doi:10.1016/j.jneumeth.2019.108534

Cited by 16 publications

(17 citation statements)

References 49 publications

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“…The complete lack of an expectancy effect ( Kandula et al. 2017 ; Hobeika et al. 2019 ) is not as unusual for the visuo-tactile pairing as it is for the audio-tactile pairing (e.g., Pfeiffer et al.…”

Section: Resultsmentioning

confidence: 98%

“…These trials are fundamental in ascertaining that putative effects in the experimental trials are veritably due to multisensory interactions, and not simply due to an expectancy effect (which would be time-dependent and thus revealed in the baseline trials; see Kandula et al. 2017 and Hobeika et al. 2019 ).…”

Section: Methodsmentioning

confidence: 99%

“…Whereas looming stimuli (Experiment 1) have been frequently used in the study of PPS in humans (see Serino 2019 for a review) by using static stimuli in Experiment 2—where all stimuli only have transient on and off temporal dynamics—we are able to fully eliminate the possibility for expectancy effects, as there is no consistent mapping between space and time (see Kandula et al. 2017 and Hobeika et al. 2019 for interesting reports warning that much of the tactile facilitation during looming exteroceptive stimuli may be due to temporal expectancies).…”

Section: Methodsmentioning

confidence: 99%

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Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

et al. 2020

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Interactions between individuals and the environment occur within the peri-personal space (PPS). The encoding of this space plastically adapts to bodily constraints and stimuli features. However, these remapping effects have not been demonstrated on an adaptive time-scale, trial-to-trial. Here, we test this idea first via a visuo-tactile reaction time (RT) paradigm in augmented reality where participants are asked to respond as fast as possible to touch, as visual objects approach them. Results demonstrate that RTs to touch are facilitated as a function of visual proximity, and the sigmoidal function describing this facilitation shifts closer to the body if the immediately precedent trial had indexed a smaller visuo-tactile disparity. Next, we derive the electroencephalographic correlates of PPS and demonstrate that this multisensory measure is equally shaped by recent sensory history. Finally, we demonstrate that a validated neural network model of PPS is able to account for the present results via a simple Hebbian plasticity rule. The present findings suggest that PPS encoding remaps on a very rapid time-scale and, more generally, that it is sensitive to sensory history, a key feature for any process contextualizing subsequent incoming sensory information (e.g., a Bayesian prior).

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Section: Resultsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

et al. 2020

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“…In this behavioral paradigm, however, participants are instructed not to respond to visual stimuli alone. This experimental design choice was driven by the fact that inclusion of “catch, non-response” trials greatly reduces the expectation bias that results from having to respond on every trial (see Kandula et al, 2017 and Hobeika et al, 2019 for more detail). However, not indexing unisensory visual-only trials impedes from ascertaining whether true multisensory integration occurred, via race (Miller, 1982) or driftdiffusion (Drugowitsch et al, 2014) models, both requiring RTs to every component (e.g., V, T, and VT).…”

Section: Resultsmentioning

confidence: 99%

Inflexible Updating of the Self-Other Divide During a Social Context in Autism; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

Noel

Paredes

Terrebonne

et al. 2020

Preprint

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Autism spectrum disorder (ASD) is a heterogenous disorder predominantly characterized by social and communicative differences, but increasingly recognized to also alter (multi)sensory function. To face the heterogeneity and ubiquity of ASD, researchers have proposed models of statistical inference operating at the level of computations. Here, we attempt to bridge both across domains, from social to sensory, and levels of description, from behavioral computations to neural ensemble activity to a biologically-plausible artificial neural network, in furthering our understanding of autism. We do so by mapping visuo-tactile peri-personal space (PPS), and examining its electroencephalography (EEG) correlates, in individuals with ASD and neurotypical individuals during both a social and non-social context given that (i) the sensory coding of PPS is well understood, (ii) this space is thought to distinguish between self and other, and (iii) PPS is known to remap during social interactions. In contrast to their neurotypical counterparts, psychophysical and EEG evidence suggested that PPS does not remap in ASD during a social context. To account for this observation, we then employed a neural network model of PPS and demonstrate that PPS remapping may be driven by changes in neural gain operating at the level of multisensory neurons. Critically, under the anomalous excitation-inhibition (E/I) regime of ASD, this gain modulation does not result in PPS resizing. Overall, our findings are in line with recent statistical inference accounts suggesting diminished flexibility in ASD, and further these accounts by demonstrating within an example relevant for social cognition that such inflexibility may be due to E/I imbalances.

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“…At odds with some previous studies employing auditory or visual looming stimuli (Canzoneri et al, 2012;Finisguerra et al, 2015;Noel et al, 2015;Serino et al, 2015), we used 'static' stimuli briefly and synchronously flashed with tactile ones to avoid the risk of inflating the estimates of multisensory facilitation. In fact, looming stimuli with predictable arrival times induce foreperiod effects that, though not solely responsible for the boosting of touch, may lead to overestimations of the magnitude of the facilitation (Hobeika et al, 2020;Holmes et al, 2020;Kandula et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Peripersonal and reaching space differ: evidence from their spatial extent and multisensory facilitation pattern

Zanini

Patané

Blini

et al. 2020

Preprint

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Peripersonal space is a multisensory representation of the space near body parts facilitating interactions with the close environment. Studies on non-human and human primates converge in showing that peripersonal space (PPS) is a body-part-centred representation that guides actions.Because of these characteristics, growing confusion conflates peripersonal and arm-reaching space (ARS) that is the space one's arm can reach. Despite neuroanatomical evidence favors their distinction, whether PPS and ARS tap into different spatial representations remains poorly understood. Here, in five experiments we found that PPS differs from ARS in male and female human participants (N = 120), as evidenced both by their performance and the modeling of their multisensory facilitation. We mapped multisensory facilitation in detecting touches at the hand, placed in different locations radially within ARS. Results showed that 1) PPS is smaller than ARS;2) multivariate modeling of spatial patterns of multisensory facilitation predicts well the position of the participants' hand within ARS; 3) multisensory facilitation maps shift according to changes of hand position, revealing hand-centred coding of PPS, but not ARS; and 4) cross-correlation analyses highlight isomorphic multisensory facilitation maps across hand positions, suggesting their functional similarity to the receptive fields of monkeys' multisensory neurons. In sharp contrast, ARS mapping produced undistinguishable patterns across hand positions, crossvalidating the conclusion that PPS and ARS are distinct. These findings call for a refinement of theoretical models of PPS and ARS, which are relevant in constructs as diverse as action and self representation, (social) interpersonal distance, brain-machine interfaces and neuroprosthetics. Significance Statement:The peripersonal space (PPS) is a multisensory interface allowing us to interact with objects in the space close to our body-parts, playing a fundamental role for the defense of the body and for the motor control of actions. Recent research has conflated PPS with the arm-reaching space (ARS), that is whole space reachable by the arm. However, there is actually no evidence supporting this equivalence and the anatomical and functional differences between PPS and ARS have been largely overlooked. In this paper, we frame the theoretical issue in depth, validate a novel methodological paradigm across five experiments, and eventually report robust and crossvalidated evidence for the distinction between PPS and ARS, supported by both multivariate and univariate analyses.

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Capturing the dynamics of peripersonal space by integrating expectancy effects and sound propagation properties

Cited by 16 publications

References 49 publications

Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

Inflexible Updating of the Self-Other Divide During a Social Context in Autism; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

Peripersonal and reaching space differ: evidence from their spatial extent and multisensory facilitation pattern

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