Evidence map›Paper›PMID 33571489›Full record

ArticleNeuropsychologia2021

The intensity and connectivity of spontaneous brain activity in a language network relate to aging and language.

Haoyun Zhang, Xiaoxiao Bai, Michele T Diaz

Open access · greenAbstract read
In one paragraph

Article in Neuropsychologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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.

Haoyun ZhangSocial, Life, and Engineering Sciences Imaging Center, The Pennsylvania State University, USA.
Xiaoxiao BaiSocial, Life, and Engineering Sciences Imaging Center, The Pennsylvania State University, USA.
Michele T DiazSocial, Life, and Engineering Sciences Imaging Center, The Pennsylvania State University, USA; Department of Psychology, The Pennsylvania State University, USA. Electronic address: mtd143@psu.edu.
Pennsylvania State University · US

Funding

Neuroimaging of Age-Related Changes in LanguageR01AG034138 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI DIAZ, MICHELE T · 2010 to 2021
$3.1M
NIA NIH HHS R01 AG034138
6 · The paper itself

Abstract

Neuroimaging studies often either look at functional activation in response to an explicit task, or functional connectivity (i.e., interregional correlations) during resting-state. Few studies have looked at the intensity of brain activity or its relationship with age, behavior, and language. The current study investigated both intensity (i.e., the Amplitude of Low-Frequency Fluctuations, ALFF) and the functional connectivity of spontaneous brain activity during rest and their relationship with age and language. A life-span sample of individuals (N = 152) completed a battery of neuropsychological tests to assess basic cognitive functions and resting-state functional MRI data to assess spontaneous brain activity. Focusing on an extend language network, the mean ALFF and total degree were calculated for this network. We found that increased age was associated with more intense activity (i.e., higher ALFF) but lower within-network connectivity. Additionally, these increases in activity within the language network during resting-state were related to worse language ability, particularly in younger adults, supporting a dedifferentiation account of cognition. Our results support the utility of using resting-state data as an indicator of cognition and support the role of ALFF as a potential biomarker in characterizing the relationships between resting-state brain activity, age, and cognition.

Indexed as

BrainLanguageAdultAgingBrain MappingHumansMagnetic Resonance ImagingRestAgingALFFFunctional connectivityLanguageResting-state

Identifiers

PMID33571489
PMCPMC7957965
OpenAlexW3127495784

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.