Evidence map›Paper›PMID 37689430›Full record

ArticleTrends in neuroscience and education2023

Task-based attentional and default mode connectivity associated with science and math anxiety profiles among university physics students.

Donisha D Smith, Alan Meca, Katherine L Bottenhorn, Jessica E Bartley, Michael C Riedel, Taylor Salo, Julio A Peraza, Robert W Laird, Shannon M Pruden, Matthew T Sutherland and 2 more

Open access · greenAbstract read
In one paragraph

Article in Trends in neuroscience and education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

12 authors at 4 institutions in 1 country.

Donisha D SmithDepartment of Psychology, Florida International University, Miami, FL, United States of America. Electronic address: dsmit216@fiu.edu.
Alan MecaDepartment of Psychology, University of Texas San Antonio, San Antonio, United States of America.
Katherine L BottenhornDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States of America.
Jessica E BartleyDepartment of Physics, Florida International University, Miami, FL, United States of America.
Michael C RiedelDepartment of Physics, Florida International University, Miami, FL, United States of America.
Taylor SaloDepartment of Psychology, Florida International University, Miami, FL, United States of America.
Julio A PerazaDepartment of Physics, Florida International University, Miami, FL, United States of America.
Robert W LairdDepartment of Physics, Florida International University, Miami, FL, United States of America.
Shannon M PrudenDepartment of Psychology, Florida International University, Miami, FL, United States of America.
Matthew T SutherlandDepartment of Psychology, Florida International University, Miami, FL, United States of America.
Eric BreweDepartment of Physics, Drexel University, Philadelphia, PA, United States of America.
Angela R LairdDepartment of Physics, Florida International University, Miami, FL, United States of America.
Florida International University · USDrexel University · USThe University of Texas at San Antonio · USUniversity of Southern California · US

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
NIDA NIH HHS R01 DA041353NIDA NIH HHS U01 DA041156
6 · The paper itself

Abstract

purposeAttentional control theory (ACT) posits that elevated anxiety increases the probability of re-allocating cognitive resources needed to complete a task to processing anxiety-related stimuli. This process impairs processing efficiency and can lead to reduced performance effectiveness. Science, technology, engineering, and math (STEM) students frequently experience anxiety about their coursework, which can interfere with learning and performance and negatively impact student retention and graduation rates. The objective of this study was to extend the ACT framework to investigate the neurobiological associations between science and math anxiety and cognitive performance among 123 physics undergraduate students. PROCEDURES: Latent profile analysis (LPA) identified four profiles of science and math anxiety among STEM students, including two profiles that represented the majority of the sample (Low Science and Math Anxiety; 59.3% and High Math Anxiety; 21.9%) and two additional profiles that were not well represented (High Science and Math Anxiety; 6.5% and High Science Anxiety; 4.1%). Students underwent a functional magnetic resonance imaging (fMRI) session in which they performed two tasks involving physics cognition: the Force Concept Inventory (FCI) task and the Physics Knowledge (PK) task.

findingsNo significant differences were observed in FCI or PK task performance between High Math Anxiety and Low Science and Math Anxiety students. During the three phases of the FCI task, we found no significant brain connectivity differences during scenario and question presentation, yet we observed significant differences during answer selection within and between the dorsal attention network (DAN), ventral attention network (VAN), and default mode network (DMN). Further, we found significant group differences during the PK task were limited to the DAN, including DAN-VAN and within-DAN connectivity.

conclusionsThese results highlight the different cognitive processes required for physics conceptual reasoning compared to physics knowledge retrieval, provide new insight into the underlying brain dynamics associated with anxiety and physics cognition, and confirm the relevance of ACT theory for science and math anxiety.

Indexed as

AnxietyAnxiety DisordersHumansPhysicsStudentsUniversitiesattentional control theory (ACT)default mode network (DMN)dorsal attention network (DAN)educational neurosciencemath anxietyphysics cognitionscience anxietytask-based connectivityventral attention network (VAN)

Identifiers

PMID37689430
PMCPMC10501206
OpenAlexW4378979345

What OpenQuestion holds

Textmetadata
LicenceTDM
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.