Evidence map›Paper›PMID 31713304›Full record

ArticleHuman brain mapping2020

Neural bases of self- and object-motion in a naturalistic vision.

Sabrina Pitzalis, Chiara Serra, Valentina Sulpizio, Giorgia Committeri, Francesco de Pasquale, Patrizia Fattori, Claudio Galletti, Rosamaria Sepe, Gaspare Galati

Abstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Single-Trial fMRI Decoding of 3D Motion with Stereoscopic and Perspective Cues.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  17. Review
  18. Article
  19. Article
  20. Resolving visual motion through perceptual gaps.Trends in cognitive sciences · 2021
    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

9 authors.

Sabrina PitzalisDepartment of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy.ORCID 0000-0002-4445-0391
Chiara SerraDepartment of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy.
Valentina SulpizioCognitive and Motor Rehabilitation Unit, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.
Giorgia CommitteriLaboratory of Neuropsychology and Cognitive Neuroscience, Department of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies (ITAB), University G. d'Annunzio, Chieti, Italy.
Francesco de PasqualeLaboratory of Neuropsychology and Cognitive Neuroscience, Department of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies (ITAB), University G. d'Annunzio, Chieti, Italy.ORCID 0000-0003-1109-3305
Patrizia FattoriDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Claudio GallettiDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Rosamaria SepeLaboratory of Neuropsychology and Cognitive Neuroscience, Department of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies (ITAB), University G. d'Annunzio, Chieti, Italy.
Gaspare GalatiCognitive and Motor Rehabilitation Unit, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To plan movements toward objects our brain must recognize whether retinal displacement is due to self-motion and/or to object-motion. Here, we aimed to test whether motion areas are able to segregate these types of motion. We combined an event-related functional magnetic resonance imaging experiment, brain mapping techniques, and wide-field stimulation to study the responsivity of motion-sensitive areas to pure and combined self- and object-motion conditions during virtual movies of a train running within a realistic landscape. We observed a selective response in MT to the pure object-motion condition, and in medial (PEc, pCi, CSv, and CMA) and lateral (PIC and LOR) areas to the pure self-motion condition. Some other regions (like V6) responded more to complex visual stimulation where both object- and self-motion were present. Among all, we found that some motion regions (V3A, LOR, MT, V6, and IPSmot) could extract object-motion information from the overall motion, recognizing the real movement of the train even when the images remain still (on the screen), or moved, because of self-movements. We propose that these motion areas might be good candidates for the "flow parsing mechanism," that is the capability to extract object-motion information from retinal motion signals by subtracting out the optic flow components.

Indexed as

AdultBrain MappingCerebral CortexFemaleHumansKinesthesisMagnetic Resonance ImagingMaleMotion PerceptionNerve NetOptic FlowVirtual RealityYoung Adultarea V6brain mappingflow parsingfMRIoptic flowwide-field

Identifiers

PMID31713304
PMCPMC7267932

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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.