Evidence map›Paper›PMID 32019892›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Functional connectivity predicts changes in attention observed across minutes, days, and months.

Monica D Rosenberg, Dustin Scheinost, Abigail S Greene, Emily W Avery, Young Hye Kwon, Emily S Finn, Ramachandran Ramani, Maolin Qiu, R Todd Constable, Marvin M Chun

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
14.1field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 189 citations in OpenAlex.

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  15. Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025
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39 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Monica D RosenbergDepartment of Psychology, University of Chicago, Chicago, IL 60637; mdrosenberg@uchicago.edu.ORCID 0000-0001-6179-4025
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510.ORCID 0000-0002-6301-1167
Abigail S GreeneInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06520.ORCID 0000-0001-6011-7903
Emily W AveryDepartment of Psychology, Yale University, New Haven, CT 06520.
Young Hye KwonDepartment of Psychology, Yale University, New Haven, CT 06520.
Emily S FinnSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892.ORCID 0000-0001-8591-3068
Ramachandran RamaniDepartment of Anesthesiology, University of Florida College of Medicine, Gainesville, FL 32610.
Maolin QiuDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510.
Marvin M ChunDepartment of Psychology, Yale University, New Haven, CT 06520.
Yale University · USNational Institute of Mental Health · USUniversity of Florida · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Neuroimaging Sciences Training ProgramT32DA022975 · NIDA · YALE UNIVERSITY · PI Graeme F Mason, Rajita Sinha · 2007 to 2026
$5.7M
Whole Brain Functional Connectivity Measures of AttentionR01MH108591 · NIMH · YALE UNIVERSITY · PI CHUN, MARVIN M · 2016 to 2019
$1.7M
Method for Measuring Functional Subunits in Human CortexR01EB009666 · NIBIB · YALE UNIVERSITY · PI CONSTABLE, R TODD · 2010 to 2013
$1.4M
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R01 EB009666NIDA NIH HHS T32 DA022975NIGMS NIH HHS T32 GM007205NIMH NIH HHS R01 MH108591
6 · The paper itself

Abstract

The ability to sustain attention differs across people and changes within a single person over time. Although recent work has demonstrated that patterns of functional brain connectivity predict individual differences in sustained attention, whether these same patterns capture fluctuations in attention within individuals remains unclear. Here, across five independent studies, we demonstrate that the sustained attention connectome-based predictive model (CPM), a validated model of sustained attention function, generalizes to predict attentional state from data collected across minutes, days, weeks, and months. Furthermore, the sustained attention CPM is sensitive to within-subject state changes induced by propofol as well as sevoflurane, such that individuals show functional connectivity signatures of stronger attentional states when awake than when under deep sedation and light anesthesia. Together, these results demonstrate that fluctuations in attentional state reflect variability in the same functional connectivity patterns that predict individual differences in sustained attention.

Indexed as

AttentionAdolescentAdultBrainConnectomeExecutive FunctionFemaleHumansIndividualityMagnetic Resonance ImagingMaleMiddle AgedTime FactorsYoung Adultattention fluctuationsfunctional connectivityindividual differencespredictive modelingsustained attention

Identifiers

PMID32019892
PMCPMC7035597
OpenAlexW3005362496

What OpenQuestion holds

Textmetadata
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.