Evidence map›Paper›PMID 25755637›Full record

ReviewFrontiers in integrative neuroscience2015

Filling gaps in visual motion for target capture.

Gianfranco Bosco, Sergio Delle Monache, Silvio Gravano, Iole Indovina, Barbara La Scaleia, Vincenzo Maffei, Myrka Zago, Francesco Lacquaniti

Abstract readReview
In one paragraph

Review in Frontiers in integrative neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Predictive interception across speed profiles.Frontiers in neural circuits · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Atypical visual motion prediction abilities in autism spectrum disorder.Clinical psychological science : a journal of the Association for Psychological Science · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The common rate control account of prediction motion.Psychonomic bulletin & review · 2018
    Review
  20. 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

8 authors.

Gianfranco BoscoDepartment of Systems Medicine, University of Rome "Tor Vergata" Rome, Italy ; Centre of Space Bio-medicine, University of Rome "Tor Vergata" Rome, Italy ; Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Sergio Delle MonacheDepartment of Systems Medicine, University of Rome "Tor Vergata" Rome, Italy ; Centre of Space Bio-medicine, University of Rome "Tor Vergata" Rome, Italy.
Silvio GravanoCentre of Space Bio-medicine, University of Rome "Tor Vergata" Rome, Italy ; Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Iole IndovinaCentre of Space Bio-medicine, University of Rome "Tor Vergata" Rome, Italy ; Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Barbara La ScaleiaLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Vincenzo MaffeiLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Myrka ZagoLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.
Francesco LacquanitiDepartment of Systems Medicine, University of Rome "Tor Vergata" Rome, Italy ; Centre of Space Bio-medicine, University of Rome "Tor Vergata" Rome, Italy ; Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A remarkable challenge our brain must face constantly when interacting with the environment is represented by ambiguous and, at times, even missing sensory information. This is particularly compelling for visual information, being the main sensory system we rely upon to gather cues about the external world. It is not uncommon, for example, that objects catching our attention may disappear temporarily from view, occluded by visual obstacles in the foreground. Nevertheless, we are often able to keep our gaze on them throughout the occlusion or even catch them on the fly in the face of the transient lack of visual motion information. This implies that the brain can fill the gaps of missing sensory information by extrapolating the object motion through the occlusion. In recent years, much experimental evidence has been accumulated that both perceptual and motor processes exploit visual motion extrapolation mechanisms. Moreover, neurophysiological and neuroimaging studies have identified brain regions potentially involved in the predictive representation of the occluded target motion. Within this framework, ocular pursuit and manual interceptive behavior have proven to be useful experimental models for investigating visual extrapolation mechanisms. Studies in these fields have pointed out that visual motion extrapolation processes depend on manifold information related to short-term memory representations of the target motion before the occlusion, as well as to longer term representations derived from previous experience with the environment. We will review recent oculomotor and manual interception literature to provide up-to-date views on the neurophysiological underpinnings of visual motion extrapolation.

Indexed as

eye movementsgravityinternal representationsmanual interceptionvisual motion extrapolation

Identifiers

PMID25755637
PMCPMC4337337

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.