Evidence map›Paper›PMID 31949245›Full record

ArticleScientific reports2020

Morphological Neural Computation Restores Discrimination of Naturalistic Textures in Trans-radial Amputees.

Alberto Mazzoni, Calogero M Oddo, Giacomo Valle, Domenico Camboni, Ivo Strauss, Massimo Barbaro, Gianluca Barabino, Roberto Puddu, Caterina Carboni, Lorenzo Bisoni and 14 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  11. Sensitivity to temporal parameters of intraneural tactile sensory feedback.Journal of neuroengineering and rehabilitation · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Alberto Mazzoni *The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Calogero M Oddo *The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy. calogero.oddo@santannapisa.it.ORCID http://orcid.org/0000-0002-1489-5701
Giacomo ValleThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID http://orcid.org/0000-0002-2637-8007
Domenico CamboniThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Ivo StraussThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID http://orcid.org/0000-0003-0971-8783
Massimo BarbaroDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.ORCID http://orcid.org/0000-0001-6136-7664
Gianluca BarabinoDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Roberto PudduDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Caterina CarboniDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Lorenzo BisoniDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Jacopo CarpanetoThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Fabrizio VecchioBrain Connectivity Laboratory, IRCCS San Raffaele Pisana, Roma, Italy.
Francesco M PetriniBertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-3354-9468
Simone RomeniThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Tamas CzimmermannThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Luca MassariThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Riccardo di IorioInstitute of Neurology, Catholic University of The Sacred Heart, Policlinic A. Gemelli Foundation, Roma, Italy.
Francesca MiragliaBrain Connectivity Laboratory, IRCCS San Raffaele Pisana, Roma, Italy.
Giuseppe GranataInstitute of Neurology, Catholic University of The Sacred Heart, Policlinic A. Gemelli Foundation, Roma, Italy.
Danilo PaniDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Thomas StieglitzLaboratory for Biomedical Microtechnology, Department of Microsystems Engineering-IMTEK; Bernstein Center Freiburg and BrainLinks-BrainTools Center University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-7349-4254
Luigi RaffoDepartment of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy.
Paolo M RossiniBrain Connectivity Laboratory, IRCCS San Raffaele Pisana, Roma, Italy.
Silvestro MiceraThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy. silvestro.micera@epfl.ch.ORCID http://orcid.org/0000-0003-4396-8217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans rely on their sense of touch to interact with the environment. Thus, restoring lost tactile sensory capabilities in amputees would advance their quality of life. In particular, texture discrimination is an important component for the interaction with the environment, but its restoration in amputees has been so far limited to simplified gratings. Here we show that naturalistic textures can be discriminated by trans-radial amputees using intraneural peripheral stimulation and tactile sensors located close to the outer layer of the artificial skin. These sensors exploit the morphological neural computation (MNC) approach, i.e., the embodiment of neural computational functions into the physical structure of the device, encoding normal and shear stress to guarantee a faithful neural temporal representation of stimulus spatial structure. Two trans-radial amputees successfully discriminated naturalistic textures via the MNC-based tactile feedback. The results also allowed to shed light on the relevance of spike temporal encoding in the mechanisms used to discriminate naturalistic textures. Our findings pave the way to the development of more natural bionic limbs.

Identifiers

PMID31949245
PMCPMC6965126

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Registered trials

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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.