Evidence map›Paper›PMID 42486671›Full record

ArticleeNeuro2026

Hemifield-Specific Motion Extrapolation Reveals Limits of Interhemispheric Integration.

Coleman E Olenick, Mazyar Fallah

Abstract read
In one paragraph

Article in eNeuro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Coleman E OlenickHuman Health Sciences, University of Guelph, Guelph, Ontario N1G 2W1, Canada colenick@uoguelph.ca.ORCID https://orcid.org/0009-0007-2032-9945
Mazyar FallahHuman Health Sciences, University of Guelph, Guelph, Ontario N1G 2W1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate perception of moving objects is a fundamental challenge for the visual system, which must compensate for neural processing delays. Motion extrapolation is a proposed mechanism whereby the brain predicts an object's future position. We investigated how an object's motion history shapes its perceived position using the flash-jump illusion in humans of either sex, in which a brief color change in a moving bar is mislocalized as further along the direction of motion. Across two experiments, we found that longer preceding motion sequences improved localization accuracy, consistent with motion adaptation. This effect occurred regardless of whether motion continued after the flash. Notably, mislocalization transiently reappeared as the object crossed the vertical midline, suggesting that motion adaptation and motion extrapolation operate independently between within each hemifield. Manipulating the length of the sequence in each hemifield in Experiment 2 confirmed that this adaptation is spatially confined to each hemifield, with limited interhemispheric transfer. The results align with a Bayesian framework in which the brain integrates signals from both hemispheres, with midline crossings triggering a shift from adapted to unadapted neural populations. We identify motion extrapolation, supported by hemifield-specific adaptation in area MT and integration in area MST, as the putative mechanism behind these midline discontinuities. This work reframes smooth pursuit not just as a tracking behavior but as a solution to overcome limitations of interhemispheric motion processing.

Indexed as

Adaptation, PhysiologicalFunctional LateralityMotion PerceptionVisual FieldsAdultFemaleHumansMalePhotic StimulationYoung Adultmotion extrapolationmotion perceptionmotion processingperceptual adaptationperipheralsensory integration

Identifiers

PMID42486671
PMCPMC13471930

What OpenQuestion holds

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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.