Evidence map›Paper›PMID 34145442›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan.

Lauren Kupis, Zachary T Goodman, Salome Kornfeld, Stephanie Hoang, Celia Romero, Bryce Dirks, Joseph Dehoney, Catie Chang, R Nathan Spreng, Jason S Nomi and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
–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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Individual differences in sequential decision-making.bioRxiv : the preprint server for biology · 2025
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6 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

11 authors.

Lauren KupisDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Zachary T GoodmanDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Salome KornfeldDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Stephanie HoangDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Celia RomeroDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Bryce DirksDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Joseph DehoneyDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Catie ChangDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.
Jason S NomiDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.
Lucina Q UddinDepartment of Psychology, University of Miami, Coral Gables, FL 33124, USA.

Funding

Cognitive and Neural Flexibility in AutismR01MH107549 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI UDDIN, LUCINA QAZI · 2015 to 2019
$2.4M
Brain Signal Variability as a Novel Marker of Flexible Cognition in AutismR03MH121668 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI NOMI, JASON SCOTT · 2019 to 2020
$151k
Canadian Institute for Advanced ResearchNARSAD Young Investigator AwardNIMH NIH HHS R01 MH107549NIMH NIH HHS R03 MH121668University of Miami
6 · The paper itself

Abstract

The neural mechanisms contributing to flexible cognition and behavior and how they change with development and aging are incompletely understood. The current study explored intrinsic brain dynamics across the lifespan using resting-state fMRI data (n = 601, 6-85 years) and examined the interactions between age and brain dynamics among three neurocognitive networks (midcingulo-insular network, M-CIN; medial frontoparietal network, M-FPN; and lateral frontoparietal network, L-FPN) in relation to behavioral measures of cognitive flexibility. Hierarchical multiple regression analysis revealed brain dynamics among a brain state characterized by co-activation of the L-FPN and M-FPN, and brain state transitions, moderated the relationship between quadratic effects of age and cognitive flexibility as measured by scores on the Delis-Kaplan Executive Function System (D-KEFS) test. Furthermore, simple slope analyses of significant interactions revealed children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility compared with younger adults. Our findings link changes in cognitive flexibility observed with age with the underlying brain dynamics supporting these changes. Preventative and intervention measures should prioritize targeting these networks with cognitive flexibility training to promote optimal outcomes across the lifespan.

Indexed as

Brain MappingLongevityAgedBrainChildCognitionExecutive FunctionHumansMagnetic Resonance ImagingNerve NetNeural Pathwaysagingcentral executive networkdefault mode networkexecutive functionsalience network

Identifiers

PMID34145442
PMCPMC8491685

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.