Evidence map›Paper›PMID 42495568›Full record

ArticleFrontiers in human neuroscience2026

Mapping neural activity during naturalistic visual and memory search.

Joaquin E Gonzalez, Markus Bauer, Anthony J Ries, Juan E Kamienkowski, Matias J Ison

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 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
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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

5 authors.

Joaquin E GonzalezLaboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación (Universidad de Buenos Aires - Consejo Nacional de Investigaciones Científicas y Técnicas), (C1428EGA), Buenos Aires, Argentina.
Markus BauerSchool of Psychology, University of Nottingham, Nottingham, United Kingdom.
Anthony J RiesU.S. Army DEVCOM Army Research Laboratory, Aberdeen, MD, United States.
Juan E KamienkowskiLaboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación (Universidad de Buenos Aires - Consejo Nacional de Investigaciones Científicas y Técnicas), (C1428EGA), Buenos Aires, Argentina.
Matias J IsonSchool of Psychology, University of Nottingham, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In everyday life, individuals often search for one of several items stored in memory. This cognitive process, known as hybrid search, is critical for tasks like navigating using landmarks. While the behavioral aspects of hybrid search have been extensively studied, the underlying neural mechanisms remain less understood. In this study, we combined concurrent magnetoencephalography (MEG) and eye movement recordings to investigate the oscillatory and evoked neural dynamics supporting hybrid search under naturalistic viewing conditions. Twenty-one participants (12 males, 9 females) performed a free-viewing task involving visual search for targets embedded in memory (hybrid search) across structured, context-rich scenes. Time-Frequency analyses revealed specific neural signatures during memory encoding, retention, and visual search. During encoding and retention, posterior alpha-band power decreased with memory load, and frontoparietal beta-band activity scaled with memory load during visual search. By aligning MEG signals to eye movement events and applying source reconstruction, we identified an early visually evoked lambda response, localized to V1, followed by a distributed P3m component, with maximum activation in the right inferior parietal lobe, that discriminated target from distractor fixations. These findings were further confirmed by a deconvolution approach to account for overlapping neural signals linked to eye movements. These results show that distinct oscillatory and evoked signatures track the dynamic brain responses during hybrid search. Alpha-band modulation reflects heightened perceptual and mnemonic demands, whereas beta-band increases index cognitive control engaged during search. The fixation-locked responses highlight how classic electrophysiological signatures, such as target-related components, generalize to free viewing conditions. Together, these findings demonstrate how oscillatory and evoked responses dynamically support hybrid search under naturalistic viewing conditions, revealing how memory, attention, and visual processing interact during active vision.

Indexed as

deconvolutioneye movementsfree-viewinghybrid searchmagnetoencephalographymemory loadneuronal oscillationstarget detection

Identifiers

PMID42495568
PMCPMC13391513

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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.