Evidence map›Paper›PMID 41444771›Full record

ArticleScientific reports2025

Quantitative assessment of human-exoskeleton integration through a neurophysiological marker of embodiment.

Margherita Bertuccelli, Stefano Tortora, Mariasole Pasinato, Edoardo Trombin, William Tasinazzo, Alfonc Baba, Patrizia Bisiacchi, Giovanni Sparacino, Emanuele Menegatti, Alessandra Del Felice

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Margherita BertuccelliDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Stefano TortoraDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Mariasole PasinatoDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Edoardo TrombinDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
William TasinazzoDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Alfonc BabaPadova Neuroscience Center, University of Padua, Padua, 35131, Italy.
Patrizia BisiacchiDepartment of General Psychology, University of Padua, Padua, 35131, Italy.
Giovanni SparacinoDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Emanuele MenegattiDepartment of Information Engineering, University of Padua, Padua, 35131, Italy.
Alessandra Del FelicePadova Neuroscience Center, University of Padua, Padua, 35131, Italy. alessandra.delfelice@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assistive exoskeletons are increasingly used in rehabilitation settings, yet their adoption in real-world scenarios remains limited. This is partly due to the insufficient understanding of human-device interaction mechanisms. The process through which the central nervous system integrates external devices is known as "tool embodiment" and is primarily assessed through subjective questionnaires. This protocol aims to identify a quantitative marker of embodiment by leveraging the phenomenon of sensory attenuation, i.e., the modulation of sensory stimulation intensity perception as a function of action control. Twenty-one participants either self-administered electrical stimulation to the median nerve by stepping on a pedal or remained still during stimulation by the experimenter, in two conditions: with and without wearing a lower-limb exoskeleton. Somatosensory evoked potentials (SSEPs) were recorded using a 64-channel electroencephalography. Results showed reduced N60 amplitude during self-stimulation, consistent with sensory attenuation, in both conditions. However, wearing the exoskeleton led to higher N60 amplitudes, suggesting reduced motor prediction accuracy. External stimulation elicited a larger N100 component, likely reflecting increased attentional engagement. Together, N60 and N100 serve as promising neurophysiological indices of embodiment and cognitive load. These objective markers could be integrated into the design and evaluation of robotic devices, improving usability and fostering better device-user integration.

Indexed as

Evoked Potentials, SomatosensoryExoskeleton DeviceAdultElectric StimulationElectroencephalographyFemaleHumansMaleMedian NerveYoung AdultElectroencephalographyEmbodimentHuman-robot interactionSomatosensory evoked potentials

Identifiers

PMID41444771
PMCPMC12830795

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.