Evidence map›Paper›PMID 24498021›Full record

ArticlePloS one2014

Opposite modulation of brain functional networks implicated at low vs. high demand of attention and working memory.

Jiansong Xu, Vince D Calhoun, Godfrey D Pearlson, Marc N Potenza

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

4 authors.

Jiansong XuDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States.
Vince D CalhounDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States ; The Mind Research Network, Albuquerque, New Mexico, United States ; Department of ECE, The University of New Mexico, Albuquerque, New Mexico, United States.
Godfrey D PearlsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States ; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut, United States ; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut, United States.
Marc N PotenzaDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States ; Child Study Center, Yale University School of Medicine, New Haven, Connecticut, United States ; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut, United States.

Funding

Translational Research of Cocaine, Striatum, and ImpulsivitiesP20DA027844 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2010 to 2013
$3.6M
FMRI & DTI Study on Neural Predictor of Treatment Outcome of Cocaine DependenceK01DA027750 · NIDA · YALE UNIVERSITY · PI XU, JIANSONG · 2010 to 2014
$881k
NIDA NIH HHS K01 DA027750NIDA NIH HHS P20 DA027844
6 · The paper itself

Abstract

backgroundFunctional magnetic resonance imaging (fMRI) studies indicate that the brain organizes its activity into multiple functional networks (FNs) during either resting condition or task-performance. However, the functions of these FNs are not fully understood yet. METHODOLOGY/PRINCIPAL

findingsTo investigate the operation of these FNs, spatial independent component analysis (sICA) was used to extract FNs from fMRI data acquired from healthy participants performing a visual task with two levels of attention and working memory load. The task-related modulations of extracted FNs were assessed. A group of FNs showed increased activity at low-load conditions and reduced activity at high-load conditions. These FNs together involve the left lateral frontoparietal cortex, insula, and ventromedial prefrontal cortex. A second group of FNs showed increased activity at high-load conditions and reduced activity at low-load conditions. These FNs together involve the intraparietal sulcus, frontal eye field, lateral frontoparietal cortex, insula, and dorsal anterior cingulate, bilaterally. Though the two groups of FNs showed opposite task-related modulations, they overlapped extensively at both the lateral and medial frontoparietal cortex and insula. Such an overlap of FNs would not likely be revealed using standard general-linear-model-based analyses.

conclusionsBy assessing task-related modulations, this study differentiated the functional roles of overlapping FNs. Several FNs including the left frontoparietal network are implicated in task conditions of low attentional load, while another set of FNs including the dorsal attentional network is implicated in task conditions involving high attentional demands.

Indexed as

AdultAttentionBrainBrain MappingFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMemoryNerve NetParietal LobePhotic StimulationPsychomotor PerformanceRadiographyTime Factors

Identifiers

PMID24498021
PMCPMC3909055

What OpenQuestion holds

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Registered trials

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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.