Evidence map›Paper›PMID 28119598›Full record

ArticleFrontiers in aging neuroscience2016

Effort Not Speed Characterizes Comprehension of Spoken Sentences by Older Adults with Mild Hearing Impairment.

Nicole D Ayasse, Amanda Lash, Arthur Wingfield

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

32 citing papers in PubMed, 62 citations in OpenAlex.

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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 at 1 institution in 1 country.

Nicole D AyasseVolen National Center for Complex Systems, Brandeis University Waltham, MA, USA.
Amanda LashVolen National Center for Complex Systems, Brandeis University Waltham, MA, USA.
Arthur WingfieldVolen National Center for Complex Systems, Brandeis University Waltham, MA, USA.
Brandeis University · US

Funding

Hearing Acuity, Cognitive Aging, and Memory for SpeechR01AG019714 · NIA · BRANDEIS UNIVERSITY · PI WINGFIELD, ARTHUR · 2002 to 2016
$4.0M
TRAINING IN COGNITIVE AGING IN A SOCIAL CONTEXTT32AG000204 · NIA · BRANDEIS UNIVERSITY · PI WINGFIELD, ARTHUR · 1990 to 2017
$2.8M
Brain-Body-Behavior Interface in Learning and Development Across the LifespanT32GM084907 · NIGMS · BRANDEIS UNIVERSITY · PI SEKULER, ROBERT · 2009 to 2018
$1.5M
NIA NIH HHS R01 AG019714NIA NIH HHS T32 AG000204NIGMS NIH HHS T32 GM084907
6 · The paper itself

Abstract

In spite of the rapidity of everyday speech, older adults tend to keep up relatively well in day-to-day listening. In laboratory settings older adults do not respond as quickly as younger adults in off-line tests of sentence comprehension, but the question is whether comprehension itself is actually slower. Two unique features of the human eye were used to address this question. First, we tracked eye-movements as 20 young adults and 20 healthy older adults listened to sentences that referred to one of four objects pictured on a computer screen. Although the older adults took longer to indicate the referenced object with a cursor-pointing response, their gaze moved to the correct object as rapidly as that of the younger adults. Second, we concurrently measured dilation of the pupil of the eye as a physiological index of effort. This measure revealed that although poorer hearing acuity did not slow processing, success came at the cost of greater processing effort.

Indexed as

agingcognitive efforteye trackinghearing losspupillometryspeech comprehension

Identifiers

PMID28119598
PMCPMC5222878
OpenAlexW2569313821

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.