Evidence map›Paper›PMID 36421904›Full record

ReviewBrain sciences2022

Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering.

Michela Chiappalone, Vinicius R Cota, Marta Carè, Mattia Di Florio, Romain Beaubois, Stefano Buccelli, Federico Barban, Martina Brofiga, Alberto Averna, Francesco Bonacini and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. How Neuromorphic Microstructures Control In Vitro Early-Stage Neuronal Outgrowth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  11. Enabling Model-Based Design for Real-Time Spike Detection.IEEE open journal of engineering in medicine and biology · 2025
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  16. Living-Neuron-Based Autogenerator.Sensors (Basel, Switzerland) · 2023
    Article
  17. Review
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

15 authors at 6 institutions in 5 countries.

Michela ChiappaloneDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0003-1427-5147
Vinicius R CotaRehab Technologies, Istituto Italiano di Tecnologia, 16163 Genova, Italy.ORCID 0000-0002-2338-5949
Marta CarèDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0002-7100-1639
Mattia Di FlorioDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0002-5263-1133
Romain BeauboisIMS Laboratory, CNRS UMR 5218, University of Bordeaux, 33405 Talence, France.
Stefano BuccelliRehab Technologies, Istituto Italiano di Tecnologia, 16163 Genova, Italy.ORCID 0000-0002-3453-8971
Federico BarbanDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0002-5828-0282
Martina BrofigaDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0003-2993-0597
Alberto AvernaDepartment of Neurology, Bern University Hospital, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0001-9738-1281
Francesco BonaciniDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0003-2249-8367
David J GuggenmosDepartment of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, KS 66103, USA.
Yannick BornatIMS Laboratory, CNRS UMR 5218, University of Bordeaux, 33405 Talence, France.
Paolo MassobrioDepartment of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.ORCID 0000-0001-8335-3407
Paolo BonifaziIKERBASQUE, The Basque Fundation, 48009 Bilbao, Spain.ORCID 0000-0001-6374-8997
Timothée LeviIMS Laboratory, CNRS UMR 5218, University of Bordeaux, 33405 Talence, France.ORCID 0000-0003-0378-8529
Italian Institute of Technology · ITCentre National de la Recherche Scientifique · FRIkerbasque · ESIstituto Nazionale di Fisica Nucleare · ITUniversity of Bern · CHUniversity of Kansas Medical Center · US

Funding

European Commission 101032054European Commission 284772Italian Ministry of Foreign Affairs and International Collaboration (MAECI) PGR00240Università Italo-Francese/Université Franco-Italienne PHC Galileo G21_120
6 · The paper itself

Abstract

Neuroprostheses are neuroengineering devices that have an interface with the nervous system and supplement or substitute functionality in people with disabilities. In the collective imagination, neuroprostheses are mostly used to restore sensory or motor capabilities, but in recent years, new devices directly acting at the brain level have been proposed. In order to design the next-generation of neuroprosthetic devices for brain repair, we foresee the increasing exploitation of closed-loop systems enabled with neuromorphic elements due to their intrinsic energy efficiency, their capability to perform real-time data processing, and of mimicking neurobiological computation for an improved synergy between the technological and biological counterparts. In this manuscript, after providing definitions of key concepts, we reviewed the first exploitation of a real-time hardware neuromorphic prosthesis to restore the bidirectional communication between two neuronal populations in vitro. Starting from that 'case-study', we provide perspectives on the technological improvements for real-time interfacing and processing of neural signals and their potential usage for novel in vitro and in vivo experimental designs. The development of innovative neuroprosthetics for translational purposes is also presented and discussed. In our understanding, the pursuit of neuromorphic-based closed-loop neuroprostheses may spur the development of novel powerful technologies, such as 'brain-prostheses', capable of rewiring and/or substituting the injured nervous system.

Indexed as

brain rewiringclosed-loopelectroceuticalshybrid neurotechnologiesin vitroin vivoneuromorphicreal-time

Identifiers

PMID36421904
PMCPMC9688667
OpenAlexW4309708999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.