Individual differences in brain function related to physics education

Sex differences in the brain correlates of STEM anxiety

Abstract

Anxiety is known to dysregulate the salience, default mode, and central executive networks of the human brain, yet this phenomenon has not been fully explored across the STEM learning experience, where anxiety can impact negatively academic performance. Here, we evaluated anxiety and large-scale brain connectivity in 101 undergraduate physics students. We found sex differences in STEM-related and clinical anxiety, with longitudinal increases in science anxiety observed for both female and male students. Sex-specific relationships between STEM anxiety and brain connectivity emerged, with male students exhibiting distinct inter-network connectivity for STEM and clinical anxiety, and female students demonstrating no significant within-sex correlations. Anxiety was negatively correlated with academic performance in sex-specific ways at both pre- and post-instruction. Moreover, math anxiety in male students mediated the relation between default mode-salience connectivity and course grade. Together, these results reveal complex sex differences in the neural mechanisms driving how anxiety is related to STEM learning. Code NeuroVault

Manuscripts

1.
Gonzalez AA, Bottenhorn KL, Bartley JE, Hayes T, Riedel MC, Salo T, et al. Sex differences in brain correlates of STEM anxiety. npj Science of Learning. 2019 Nov 1;4(1):1–10.

Large-scale brain networks underlying physics-related cognition and cognitive abilities

Abstract

Academic performance is believed to rely, in part, on intelligence. This phenomena has been studied at length, but findings concerning the neural substrates of intelligence in intrinsic brain organization have been mixed, and little attention has been paid to how the relationships between intelligence and brain organization vary between sexes. Here, we investigate the role of cognitive abilities in domain-specific learning in a historically male-dominated domain. We further probe how the intrinsic organization of large-scale brain networks reflects individual differences in cognitive abilities, their role in student achievement, and how this relationship differs with respect to sex.

Code NeuroVault
Note: this work is currently being heavily revised.

Manuscripts

6.
Bottenhorn KL, Bartley JE, Riedel MC, Salo T, Bravo EI, Odean R, et al. Intelligence and academic performance: Is it all in your head? [Internet]. bioRxiv; 2021 [cited 2021 Jan 26]. Available from: https://www.biorxiv.org/content/10.1101/2021.01.23.427928v1

Presentations

1.
Bottenhorn KL. Large-scale brain networks underlying domain-specific memory, intelligence, and academic performance. Poster presentation presented at: 25th Annual Meeting of the Organization for Human Brain Mapping; 2019 Jun; Rome, Italy.
2.
Bottenhorn KL. Intelligence and academic performance: Is it all in your head? Poster presentation presented at: 26th Annual Meeting of the Organization for Human Brain Mapping; 2020 Jun; Virtual.
3.
Bottenhorn KL. Sex differences in large-scale brain networks underlying domain-specific memory, intelligence, and academic performance. Oral presentation presented at: Current Topics in Neuroscience; 2019 Jan; Miami, FL, USA.

Neural mechanisms of physics learning

Abstract

University instruction in physics represents a unique experience for many individuals and STEM education best practices are increasingly important. Introductory physics courses are a gateway top many STEM majors and, thus, a pivotal node in the "leaky pipeline" leading to gender gap in STEM careers and higher education. This project assesses factors contributing to student success in introductory physics and the roles of pedagogy, gender, and behavior therein.

  • Uncovering the neural correlates of problem solving
  • Assessing brain function during science reasoning
  • Linking differences in brain function during science reasoning to conceptions of Newtonian mechanics
  • Studying the pedagogical approaches to university physics instruction and how they might differentially engage neural systems
  • Applying psychological theories to better understand the neural correlates of physics-related cognition and impacts of STEM-related anxiety thereon.

Manuscripts

2.
Bartley JE, Boeving ER, Riedel MC, Bottenhorn KL, Salo T, Eickhoff SB, et al. Meta-analytic evidence for a core problem solving network across multiple representational domains. Neurosci Biobehav Rev. 2018 Sep;92:318–37.
3.
Bartley JE, Riedel MC, Salo T, Boeving ER, Bottenhorn KL, Bravo EI, et al. Brain activity links performance in science reasoning with conceptual approach. npj Science of Learning. 2019 Dec 2;4(1):1–8.
4.
Brewe E, Bartley JE, Riedel MC, Sawtelle V, Salo T, Boeving ER, et al. Toward a Neurobiological Basis for Understanding Learning in University Modeling Instruction Physics Courses. Front ICT [Internet]. 2018 [cited 2018 Dec 18];5. Available from: https://www.frontiersin.org/articles/10.3389/fict.2018.00010/full
5.
Smith DD, Meca A, Bottenhorn KL, Bartley JE, Riedel MC, Salo T, et al. Task-based attentional and default mode connectivity associated with STEM anxiety profiles among university physics students [Internet]. bioRxiv; 2022 [cited 2023 Jan 18]. p. 2022.09.30.508557. Available from: https://www.biorxiv.org/content/10.1101/2022.09.30.508557v1