Evidence map›Paper›PMID 40552489›Full record

ArticleeLife2025

Distinct neural bases of subcomponents of the attentional blink.

Swagata Halder, Deepak Velgapuni Raya, Devarajan Sridharan

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Swagata HalderCentre for Neuroscience, Indian Institute of Science, Bangalore, India.ORCID https://orcid.org/0000-0002-1807-7116
Deepak Velgapuni RayaCentre for Neuroscience, Indian Institute of Science, Bangalore, India.ORCID https://orcid.org/0000-0001-8092-1034
Devarajan SridharanCentre for Neuroscience, Indian Institute of Science, Bangalore, India.ORCID https://orcid.org/0000-0003-1998-9018

Funding

A Department of Biotechnology-Indian Institute of Science Partnership Program Grant https://dbtindia.gov.inAn India-Trento Program for Advanced Reserch Grant INT/ITALY/ITPAR-IV/COG/2018/GDepartment of Science and Technology, Ministry of Science and Technology, India SB/SJF/2021-22/02Wellcome TrustWellcome Trust DBT India Alliance IA/I/15/2/502089
6 · The paper itself

Abstract

The attentional blink reflects a ubiquitous bottleneck with selecting and processing the second of two targets that occur in close temporal proximity. An extensive literature has examined the attention blink as a unitary phenomenon. As a result, which specific component of attention - perceptual sensitivity, choice bias, or both - is compromised during the attentional blink, and their respective neural bases, remains unknown. Here, we address this question with a multialternative task and novel signal detection model, which decouples sensitivity from bias effects. We find that the attentional blink impairs specifically one component of attention - sensitivity - while leaving the other component - bias - unaffected. Distinct neural markers of the attentional blink were mapped onto distinct subcomponents of the sensitivity deficits. Parieto-occipital N2p and P3 potential amplitudes characterized target detection deficits, whereas long-range high-beta band (20-30 Hz) coherence between frontoparietal electrodes signaled target discrimination deficits. We synthesized these results with representational geometry analysis. The analysis revealed that detection and discrimination deficits were encoded along separable neural dimensions, whose configural distances robustly correlated with the neural markers of each. Overall, these findings provide detailed insights into the subcomponents of the attentional blink and reveal dissociable neural bases underlying its detection and discrimination bottlenecks.

Indexed as

AttentionAttentional BlinkBrainAdultElectroencephalographyFemaleHumansMaleYoung Adultattentional deficitbiasdetectiondiscriminationevent-related potentialshumanlong range synchronizationneurosciencesensitivitysignal detection theory

Identifiers

PMID40552489
PMCPMC12187135

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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.