Evidence map›Paper›PMID 40819140›Full record

ArticleNPJ science of learning2025

Dynamic reconfiguration of brain coactivation states associated with active and lecture-based learning of university physics.

Donisha D Smith, Jessica E Bartley, Julio A Peraza, Katherine L Bottenhorn, Jason S Nomi, Lucina Q Uddin, Michael C Riedel, Taylor Salo, Robert W Laird, Shannon M Pruden and 3 more

Abstract read
In one paragraph

Article in NPJ science of learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Donisha D SmithDepartment of Psychology, Florida International University, Miami, FL, USA. dsmit216@fiu.edu.
Jessica E BartleyDepartment of Physics, Florida International University, Miami, FL, USA.
Julio A PerazaDepartment of Physics, Florida International University, Miami, FL, USA.
Katherine L BottenhornDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Jason S NomiDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Michael C RiedelDepartment of Physics, Florida International University, Miami, FL, USA.
Taylor SaloDepartment of Medicine, Perlman Center of Advanced Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Robert W LairdDepartment of Physics, Florida International University, Miami, FL, USA.
Shannon M PrudenDepartment of Psychology, Florida International University, Miami, FL, USA.
Matthew T SutherlandDepartment of Psychology, Florida International University, Miami, FL, USA.
Eric BreweDepartment of Physics, Drexel University, Philadelphia, PA, USA.
Angela R LairdDepartment of Physics, Florida International University, Miami, FL, USA.

Funding

FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
Neuroimaging meta-analytics for addiction: Nodes, networks,and new heuristicsR01DA041353 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI LAIRD, ANGELA R, SUTHERLAND, MATTHEW T · 2017 to 2019
$645k
National Institute of Health NIH U01-DA041156National Science Foundation NSF 1631325National Science Foundation NSF REAL DRL-1420627NIDA NIH HHS R01 DA041353NIDA NIH HHS U01 DA041156
6 · The paper itself

Abstract

Academic institutions are increasingly adopting active learning methods to enhance educational outcomes. Using functional magnetic resonance imaging (fMRI), we investigated neurobiological differences between active learning and traditional lecture-based approaches in university physics education. Undergraduate students enrolled in an introductory physics course underwent an fMRI session before and after a 15-week semester. Coactivation pattern (CAP) analysis was used to examine the temporal dynamics of brain states across different cognitive contexts, including physics conceptual reasoning, physics knowledge retrieval, and rest. CAP results identified seven distinct brain states, with contributions from frontoparietal, somatomotor, and visuospatial networks. Among active learning students, physics learning was associated with increased engagement of a somatomotor network, supporting an embodied cognition framework, while lecture-based students demonstrated stronger engagement of a visuospatial network, consistent with observational learning. These findings suggest significant neural restructuring over a semester of physics learning, with different instructional approaches preferentially modulating distinct patterns of brain dynamics.

Identifiers

PMID40819140
PMCPMC12357887

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.