Evidence map›Paper›PMID 32265675›Full record

ArticleFrontiers in human neuroscience2020

Effects of Visual Scene Complexity on Neural Signatures of Spatial Attention.

Lia M Bonacci, Scott Bressler, Jasmine A C Kwasa, Abigail L Noyce, Barbara G Shinn-Cunningham

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Lia M BonacciDepartment of Biomedical Engineering, Boston University, Boston, MA, United States.
Scott BresslerGraduate Program in Neuroscience, Boston University, Boston, MA, United States.
Jasmine A C KwasaDepartment of Biomedical Engineering, Boston University, Boston, MA, United States.
Abigail L NoyceDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States.
Barbara G Shinn-CunninghamNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States.

Funding

Individual differences in supra-threshold sound encodingR01DC013825 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI SHINN-CUNNINGHAM, BARBARA · 2015 to 2019
$1.7M
NIDCD NIH HHS R01 DC013825
6 · The paper itself

Abstract

Spatial selective attention greatly affects our processing of complex visual scenes, yet the way in which the brain selects relevant objects while suppressing irrelevant objects is still unclear. Evidence of these processes has been found using non-invasive electroencephalography (EEG). However, few studies have characterized these measures during attention to dynamic stimuli, and little is known regarding how these measures change with increased scene complexity. Here, we compared attentional modulation of the EEG N1 and alpha power (oscillations between 8-14 Hz) across three visual selective attention tasks. The tasks differed in the number of irrelevant stimuli presented, but all required sustained attention to the orientation trajectory of a lateralized stimulus. In scenes with few irrelevant stimuli, top-down control of spatial attention is associated with strong modulation of both the N1 and alpha power across parietal-occipital channels. In scenes with many irrelevant stimuli in both hemifields, however, top-down control is no longer represented by strong modulation of alpha power, and N1 amplitudes are overall weaker. These results suggest that as a scene becomes more complex, requiring suppression in both hemifields, the neural signatures of top-down control degrade, likely reflecting some limitation in EEG to represent this suppression.

Indexed as

alpha oscillationsEEGevoked potentialscene complexityvisual spatial attention

Identifiers

PMID32265675
PMCPMC7105597

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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.