Evidence map›Paper›PMID 31620665›Full record

ArticleScience robotics2019

Restoring Tactile sensations via neural interfaces for real-time force-and-slippage closed-loop control of bionic hands.

Loredana Zollo, Giovanni Di Pino, Anna L Ciancio, Federico Ranieri, Francesca Cordella, Cosimo Gentile, Emiliano Noce, Rocco A Romeo, Alberto Dellacasa Bellingegni, Gianluca Vadalà and 15 more

Open access · greenAbstract read
In one paragraph

Article in Science robotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% of its field
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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 181 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Review
  5. Article
  6. Performance-Recoverable Closed-Loop Neuroprosthetic System.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  7. Review
  8. Article
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  10. Article
  11. Article
  12. Article
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  14. Review
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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 4 institutions in 2 countries.

Loredana Zollo *Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Giovanni Di Pino *Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Università Campus Bio-Medico di Roma.
Anna L CiancioResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Federico RanieriResearch Unit of Neurology, Neurophysiology, Neurobiology, Università Campus Bio-Medico di Roma.
Francesca CordellaResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Cosimo GentileResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Emiliano NoceResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Rocco A RomeoResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Alberto Dellacasa BellingegniResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Gianluca VadalàResearch Unit of Orthopedics and Traumatology, Università Campus Bio-Medico di Roma.
Sandra MiccinilliResearch Unit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma.
Alessandro MioliResearch Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Università Campus Bio-Medico di Roma.
Lorenzo Diaz-BalzaniResearch Unit of Orthopedics and Traumatology, Università Campus Bio-Medico di Roma.
Marco BraviResearch Unit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma.
Klaus-P HoffmannFraunhofer Institut für Biomedizinische Technik.
Andreas SchneiderFraunhofer Institut für Biomedizinische Technik.
Luca DenaroDepartment of Neurosciences, University of Padova.
Angelo DavalliINAIL Prosthetic Center.
Emanuele GruppioniINAIL Prosthetic Center.
Rinaldo SacchettiINAIL Prosthetic Center.
Simona CastellanoINAIL Prosthetic Center.
Vincenzo Di LazzaroResearch Unit of Neurology, Neurophysiology, Neurobiology, Università Campus Bio-Medico di Roma.
Silvia SterziResearch Unit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma.
Vincenzo Denaro *Research Unit of Orthopedics and Traumatology, Università Campus Bio-Medico di Roma.
Eugenio Guglielmelli *Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma.
Università Campus Bio-Medico · ITIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITFraunhofer Institute for Biomedical Engineering · DEUniversity of Padua · IT

Funding

European Research Council 678908
6 · The paper itself

Abstract

Despite previous studies on the restoration of tactile sensation on the fingers and the hand, there are no examples of use of the routed sensory information to finely control the prosthesis hand in complex grasp and manipulation tasks. Here it is shown that force and slippage sensations can be elicited in an amputee subject by means of biologically-inspired slippage detection and encoding algorithms, supported by a stick-slip model of the performed grasp. A combination of cuff and intraneural electrodes was implanted for eleven weeks in a young woman with hand amputation, and was shown to provide close-to-natural force and slippage sensations, paramount for significantly improving the subject's manipulative skills with the prosthesis. Evidence is provided about the improvement of the subject's grasping and manipulation capabilities over time, thanks to neural feedback. The elicited tactile sensations enabled the successful fulfillment of fine grasp and manipulation tasks with increasing complexity. Grasp performance was quantitatively assessed by means of instrumented objects and a purposely developed metrics. Closed-loop control capabilities enabled by the neural feedback were compared to those achieved without feedback. Further, the work investigates whether the described amelioration of motor performance in dexterous tasks had as central neurophysiological correlates changes in motor cortex plasticity and whether such changes were of purely motor origin, or else the effect of a strong and persistent drive of the sensory feedback.

Identifiers

PMID31620665
PMCPMC6795534
OpenAlexW2917222655

What OpenQuestion holds

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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.