Evidence map›Paper›PMID 33114180›Full record

ArticleSensors (Basel, Switzerland)2020

An fMRI Compatible Smart Device for Measuring Palmar Grasping Actions in Newborns.

Daniela Lo Presti, Sofia Dall'Orso, Silvia Muceli, Tomoki Arichi, Sara Neumane, Anna Lukens, Riccardo Sabbadini, Carlo Massaroni, Michele Arturo Caponero, Domenico Formica and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Smart Sensors for Healthcare and Medical Applications.Sensors (Basel, Switzerland) · 2021
    Article
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

12 authors at 6 institutions in 4 countries.

Daniela Lo PrestiUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-1507-231X
Sofia Dall'OrsoDivision of Signal Processing and Biomedical Engineering, Department of Electrical Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0003-0840-140X
Silvia MuceliDivision of Signal Processing and Biomedical Engineering, Department of Electrical Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.ORCID 0000-0002-0310-1021
Tomoki ArichiCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, UK.ORCID 0000-0002-3550-1644
Sara NeumaneCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, UK.
Anna LukensPaediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK.ORCID 0000-0003-4508-3439
Riccardo SabbadiniUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-3574-9842
Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Michele Arturo CaponeroPhotonics Micro- and Nanostructures Laboratory, ENEA Research Center of Frascati, 00044 Frascati (RM), Italy.ORCID 0000-0002-5728-3123
Domenico FormicaUnit of Neurophysiology and Neuroengineering of Human-Technology Interaction (NeXt Lab), Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0003-0240-1265
Etienne BurdetDepartment of Bioengineering, Imperial College London, London SW7 2AZ, UK.
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-9696-1265
Università Campus Bio-Medico · ITKing's College London · GBGuy's and St Thomas' NHS Foundation Trust · GBImperial College London · GBInserm · FRNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

Fondazione G.B. Baroni ReSTART projectH2020 CONBOTS ICT-871803INFANTPATTERNS H2020-MSCA-IF-846679Medical Research Council MR/N026063/1Medical Research Council MR/P008712/1MRC Clinician Scientist Fellowship MR/P008712/1
6 · The paper itself

Abstract

Grasping is one of the first dominant motor behaviors that enable interaction of a newborn infant with its surroundings. Although atypical grasping patterns are considered predictive of neuromotor disorders and injuries, their clinical assessment suffers from examiner subjectivity, and the neuropathophysiology is poorly understood. Therefore, the combination of technology with functional magnetic resonance imaging (fMRI) may help to precisely map the brain activity associated with grasping and thus provide important insights into how functional outcomes can be improved following cerebral injury. This work introduces an MR-compatible device (i.e., smart graspable device (SGD)) for detecting grasping actions in newborn infants. Electromagnetic interference immunity (EMI) is achieved using a fiber Bragg grating sensor. Its biocompatibility and absence of electrical signals propagating through the fiber make the safety profile of the SGD particularly favorable for use with fragile infants. Firstly, the SGD design, fabrication, and metrological characterization are described, followed by preliminary assessments on a preterm newborn infant and an adult during an fMRI experiment. The results demonstrate that the combination of the SGD and fMRI can safely and precisely identify the brain activity associated with grasping behavior, which may enable early diagnosis of motor impairment and help guide tailored rehabilitation programs.

Indexed as

Hand StrengthMagnetic Resonance ImagingAdultHumansInfant, NewbornInfant, PrematureSmart MaterialsSmart Materialsfiber Bragg grating sensors (FBGs)functional magnetic resonance imaging (fMRI)grasping actions detectionmotor assessmentMR-compatible measuring systems

Identifiers

PMID33114180
PMCPMC7660640
OpenAlexW3094522068

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.