Evidence map›Paper›PMID 31578762›Full record

ArticlePsychophysiology2020

Cognitive resources are distributed among the entire auditory landscape in auditory scene analysis.

Renee M Symonds, Juin W Zhou, Sally L Cole, Kelin M Brace, Elyse S Sussman

Abstract read
In one paragraph

Article in Psychophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Renee M SymondsDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.
Juin W ZhouDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.
Sally L ColeDepartment of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, New York, USA.
Kelin M BraceDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.
Elyse S SussmanDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.ORCID 0000-0002-1013-0621

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
Neurophysiological Correlates of Information ProcessingR01DC004263 · NIDCD · YESHIVA UNIVERSITY · PI SUSSMAN, ELYSE S · 2001 to 2016
$4.9M
NIDCD NIH HHS R01 DC004263NIGMS NIH HHS T32 GM007288
6 · The paper itself

Abstract

Although attention has been shown to enhance neural representations of selected inputs, the fate of unselected background sounds is still debated. The goal of the current study was to understand how processing resources are distributed among attended and unattended sounds during auditory scene analysis. We used a three-stream paradigm with four acoustic features uniquely defining each sound stream (frequency, envelope shape, spatial location, tone quality). We manipulated task load by having participants perform a difficult auditory task and an easy movie-viewing task with the same set of sounds in separate conditions. The mismatch negativity (MMN) component of event-related brain potentials (ERPs) was measured to evaluate sound processing in both conditions. We found no effect of task demands on unattended sound processing: MMNs were elicited by unattended deviants during both low- and high-load task conditions. A key factor of this result was the use of unique tone feature combinations to distinguish each of the three sound streams, strengthening the segregation of streams. In the auditory task, the P3b component demonstrates a two-stage process of target evaluation. Thus, these results, in conjunction with results of previous studies, suggest that stimulus-driven factors that strengthen stream segregation can free up processing capacity for higher-level analyses. The results illustrate the interactive nature of top-down and stimulus-driven processes in stream formation, supporting a distributive theory of attention that balances the strength of the bottom-up input with perceptual goals in analyzing the auditory scene.

Indexed as

ElectroencephalographyAdultAttentionAuditory PerceptionElectrooculographyEvent-Related Potentials, P300Evoked PotentialsEvoked Potentials, AuditoryExecutive FunctionFemaleHumansMaleVisual Perceptionattentionauditory scene analysiscognitive loadERPsmismatch negativity (MMN)P3b component

Identifiers

PMID31578762
PMCPMC6982589

What OpenQuestion holds

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Registered trials

None linked

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.