Evidence map›Paper›PMID 41884867›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Neural dynamics of visuospatial endogenous attention: Event-related optical signal evidence from posterior brain areas.

Giorgia Parisi, Sonia Mele, Elisabetta Colombari, Chiara Mazzi, Silvia Savazzi

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Giorgia ParisiPerception and Awareness (PandA) Laboratory, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-8295-5374
Sonia MelePerception and Awareness (PandA) Laboratory, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-7110-7209
Elisabetta ColombariPerception and Awareness (PandA) Laboratory, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-7116-5441
Chiara MazziPerception and Awareness (PandA) Laboratory, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-4966-9341
Silvia SavazziPerception and Awareness (PandA) Laboratory, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-5333-9046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable research has been encouraged by the concept of two distinct human attention networks (i.e., a dorsal network, DAN, and a ventral network, VAN) for voluntary deployment of attention and the reorientation to unexpected events, respectively. Despite the general agreement about the main crucial nodes constituting the two networks, the specific contribution of each region and the interplay between the two systems required for flexible attentional control still need to be clarified. Therefore, the current study aimed to describe the neural dynamics of endogenous attentional processes and examine the predictive interactions between and within the two attention systems, by administering a detection and visuospatial version of the Posner paradigm and collecting data by using Fast Optical Imaging, coupled with Granger Analysis. Functional analyses uncovered bilateral dorso-parietal and visual recruitment during both orienting and reorienting. Importantly, a recursive predictive interplay between these dorso-parietal and visual regions was revealed to subserve both attentional processes. Additionally, a specific contribution of the left ventral network was found in allocating attention after the occurrence of a central predictive cue. In contrast, the right ventral network activity, which was actually elicited by the reorienting mechanism only, could indicate post-perceptual updating of the internal task-related mental models.

Indexed as

contextual updatingendogenous orientingendogenous reorientingoptical imagingPosner paradigmvisuospatial attention

Identifiers

PMID41884867
PMCPMC13010356

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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.