Evidence map›Paper›PMID 25324827›Full record

ReviewFrontiers in neurology2014

Technology-aided assessment of sensorimotor function in early infancy.

Alessandro G Allievi, Tomoki Arichi, Anne L Gordon, Etienne Burdet

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Developing a Methodology for Quantifying Infant Interaction with a Robotic Toy.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  2. Article
  3. Hand Use and Grasp Sensor System in Monitoring Infant Fine Motor Development.Archives of rehabilitation research and clinical translation · 2022
    Article
  4. Article
  5. Infant posture and movement analysis using a sensor-supported gym with toys.Medical & biological engineering & computing · 2019
    Article
  6. Article
  7. Article
  8. Maturation of Sensori-Motor Functional Responses in the Preterm Brain.Cerebral cortex (New York, N.Y. : 1991) · 2016
    Article
  9. 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

4 authors.

Alessandro G AllieviHuman Robotics Group, Department of Bioengineering, Imperial College London , London , UK.
Tomoki ArichiHuman Robotics Group, Department of Bioengineering, Imperial College London , London , UK ; Department of Perinatal Imaging and Health, King's College London , London , UK.
Anne L GordonPaediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Trust , London , UK ; Institute of Psychiatry, Psychology and Neuroscience, Kings College London , London , UK.
Etienne BurdetHuman Robotics Group, Department of Bioengineering, Imperial College London , London , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a pressing need for new techniques capable of providing accurate information about sensorimotor function during the first 2 years of childhood. Here, we review current clinical methods and challenges for assessing motor function in early infancy, and discuss the potential benefits of applying technology-assisted methods. We also describe how the use of these tools with neuroimaging, and in particular functional magnetic resonance imaging (fMRI), can shed new light on the intra-cerebral processes underlying neurodevelopmental impairment. This knowledge is of particular relevance in the early infant brain, which has an increased capacity for compensatory neural plasticity. Such tools could bring a wealth of knowledge about the underlying pathophysiological processes of diseases such as cerebral palsy; act as biomarkers to monitor the effects of possible therapeutic interventions; and provide clinicians with much needed early diagnostic information.

Indexed as

cerebral palsydevelopmental assessmentfunctional MRImotor assessmentMRIrobotic-assisted assessment

Identifiers

PMID25324827
PMCPMC4181230

What OpenQuestion holds

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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.