Psychophysiological Mechanisms of Math Anxiety: Review of Current Research

Mathematical anxiety (MA) negatively affects all aspects of activities related to manipulating numbers, both in education and in everyday life. MA is negatively associated with mathematical self-efficacy, subjective value of mathematics, attitude, and interest towards mathematics. Individuals with pronounced MA have a lower need for cognitive load and reflective thinking. Among the predictors of MA, cognitive, personality, and social aspects can be identified. The question of the brain mechanisms of MA remains relevant. The review provides an analysis of studies on the neurophysiological correlates of mathematical anxiety using modern psychophysiological methods: electroencephalography, magnetic resonance imaging (MRI). The results of studies using these methods are inconsistent. When studying MA, attention is paid to brain structures associated with the processing of both emotional information and cognitive processes. The analysis of the literature has shown that when implementing corrective measures, it is important to consider the lack of a unified theoretical approach, which raises questions about the causes of MA.

1. Bogdanova O.E., Kovas Yu.V., Bogdanova E.L., Akimova K.K., Gynku E.I. Fenomen matematicheskoi trevozhnosti v obrazovanii // Teoreticheskaya i eksperimental'naya psikhologiya. 2013. T. 6. № 4. Р. 6–17.
2. Budakova A.V., Yakovlev N.I., Esipenko E.A. Spektral'nye kharakteristiki v pokoe i ozhidanii matematicheskikh zadanii u lits s raznym urovnem matematicheskoi trevozhnosti // Mir cheloveka v fokuse psikhologicheskikh metapraktik. K 145-letiyu so dnya osnovaniya Tomskogo gosudarstvennogo universiteta: materialy VIII Sibirskogo psikhologicheskogo foruma. Tomsk: Izd-vo Tom. un-ta, 2022. Р. 21‒22.
3. Dyulicheva Yu.Yu. Uchebnaya analitika MOOK kak instrument analiza matematicheskoi trevozhnosti // Voprosy obrazovaniya. 2021. № 4. Р. 243–265.
4. Yakovlev N.I., Esipenko E.A., Arkhipova O.V., Mareicheva E.M., Matashova T.D., Matsepuro D.M. Effekty psikhologicheskikh interventsii na assotsiirovannye s matematicheskoi trevozhnost'yu funktsional'nye svyazi golovnogo mozga // Psikhologiya. Psikhofiziologiya. 2023. T. 16. № 2. Р. 93–103.
5. Ashcraft M.H., Kirk E.P. The relationships among working memory, math anxiety, and performance // Journal of experimental psychology: General. 2001. Vol. 130. № 2. P. 224. DOI:10.1037//0096-3445.130.2.224
6. Ashcraft M.H., Krause J.A. Working memory, math performance, and math anxiety // Psychonomic bulletin & review. 2007. Vol. 14. P. 243–248. DOI:10.3758/BF03194059
7. Ashcraft M.H., Moore A.M. Mathematics anxiety and the affective drop in performance // Journal of Psychoeducational assessment. 2009. Vol. 27. № 3. P. 197–205. DOI:10.1177/0734282908330580
8. Ashcraft M.H., Ridley K.S. Math anxiety and its cognitive consequences: A tutorial review // The handbook of mathematical cognition. 2005. P. 315–327.
9. Baddeley A. Working memory // Science. 1992. Vol. 255. № 5044. P. 556–559. DOI:10.1126/science.1736359
10. Batashvili M., Staples P., Baker I.S., Sheffield D. The neurophysiological relationship between number anxiety and the EEG gamma-band // Journal of Cognitive Psychology. 2020. Vol. 32. № 5-6. P. 580–585. DOI:10.1080/20445911.2020.1778006
11. Büchel C., Dolan R.J., Armony J.L., Friston K.J. Amygdala-hippocampal involvement in human aversive trace conditioning revealed through event-related functional magnetic resonance imaging // Journal of Neuroscience. 1999. Vol. 19. № 24. P. 10869–10876. DOI:10.1523/jneurosci.19-24-10869.1999
12. Budakova A.V., Likhanov M., Bloniewski T., Malykh S., Kovas Y. Mathematical anxiety: etiology, development, and links with mathematical achievement // Voprosy filosofii i psikhologii. 2020. Vol. 66. № 1. P. 109–118.
13. Choi-Koh S.S., Ryoo B.G. Differences of math anxiety groups based on two measurements, MASS and EEG // Educational Psychology. 2019. Vol. 39. № 5. P. 659–677. DOI:10.1080/01443410.2018.1543857
14. Dede Y. Mathematics anxiety questionnaire development and validation // Essays in Education. 2008. Vol. 23. P. 36–55.
15. Demedts F., Cornelis J., Reynvoet B., Sasanguie D., Depaepe F. Measuring math anxiety through self-reports and physiological data // Journal of Numerical Cognition. Vol. 9. № 3. P. 380–397. DOI:10.5964/jnc.9735
16. Hartwright C.E., Looi C.Y., Sella F., Inuggi A., Santos F.H., González-Salinas C., Fuentes L.J. The neurocognitive architecture of individual differences in math anxiety in typical children // Scientific reports. 2018. Vol. 8. № 1. P. 8500. DOI:10.1038/s41598-018-26912-5
17. Hopko D.R. Confirmatory factor analysis of the math anxiety rating scale-revised // Educational and psychological measurement. 2003. Vol. 63. № 2. P. 336–351. DOI:10.1177/0013164402251041
18. Hopko D.R., Ashcraft M.H., Gute J., Ruggiero K.J., Lewis C. Mathematics anxiety and working memory: Support for the existence of a deficient inhibition mechanism // Journal of anxiety disorders. 1998. Vol. 12. № 4. P. 343–355. DOI:10.1016/S0887-6185(98)00019-X
19. Jones W.J., Childers T.L., Jiang Y. The shopping brain: Math anxiety modulates brain responses to buying decisions // Biological psychology. 2012. Vol. 89. № 1. P. 201–213. DOI:10.1016/j.biopsycho.2011.10.011
20. Kelly S., Croucher S.M., Kim K.Y., Permyakova T., Turdubaeva E., Rocker K.T., Rimkeeratikul S.A. General Math Anxiety Measure // Education Sciences. 2022. Vol. 12. № 6. P. 370. DOI:10.3390/educsci12060370
21. Klados M.A., Pandria N., Micheloyannis S., Margulies D., Bamidis P.D. Math anxiety: Brain cortical network changes in anticipation of doing mathematics // International Journal of Psychophysiology. 2017. Vol. 122. P. 24–31. DOI:10.1016/j.ijpsycho.2017.05.003
22. Klados M.A., Paraskevopoulos E., Pandria N., Bamidis P.D. The impact of math anxiety on working memory: A cortical activations and cortical functional connectivity EEG study // IEEE Access. 2019. Vol. 7. P. 15027–15039. DOI:10.1109/ACCESS.2019.2892808
23. Klein E., Bieck S.M., Bloechle J., Huber S., Bahnmueller J., Willmes K., Moeller K. Anticipation of difficult tasks: neural correlates of negative emotions and emotion regulation // Behavioral and Brain Functions. 2019. Vol. 15. P. 1–13. DOI:10.1186/s12993-019-0155-1
24. Lee K., Bull R. Developmental changes in working memory, updating, and math achievement // Journal of Educational Psychology. 2016. Vol. 108. № 6. P. 869. DOI:10.1037/edu0000090
25. Levy H.E., Rubinsten O. Numbers (but not words) make math anxious individuals sweat: Physiological evidence // Biological psychology. 2021. Vol. 165. P. 108187. DOI:10.1016/j.biopsycho.2021.108187
26. Liu J., Li J., Peng W., Feng M., Luo Y. EEG correlates of math anxiety during arithmetic problem solving: Implication for attention deficits // Neuroscience letters. 2019. Vol. 703. P. 191–197. DOI:10.1016/j.neulet.2019.03.047
27. Lyons I.M., Beilock S.L. When math hurts: math anxiety predicts pain network activation in anticipation of doing math // PloS one. 2012. Vol. 7. № 10. P. e48076. DOI:10.1371/journal.pone.0048076
28. Mattarella-Micke A., Mateo J., Kozak M.N., Foster K., Beilock S. Choke or thrive? The relation between salivary cortisol and math performance depends on individual differences in working memory and math-anxiety // Emotion. 2011. Vol. 11. P. 1000–1005. DOI:10.1037/a0023224
29. Mehrabinejad M.M., Sanjari Moghaddam H., Mohammadi E., Hajighadery A., Sinaeifar Z., Aarabi M.H. Sex differences in microstructural white matter alterations of mathematics anxiety based on diffusion MRI connectometry // Neuropsychology. 2021. Vol. 35. № 2. P. 197. DOI:10.1037/neu0000684
30. Norton A., Seok Y., Choi-Koh S. Examining mathematics anxiety of undergraduates using a brain-based measurement // EEG Journal of Behavioral and Brain Science. 2019. Vol. 9. P. 195–209. DOI:10.4236/jbbs.2019.95017
31. Phelps E.A., Delgado M.R., Nearing K.I., LeDoux J.E. Extinction learning in humans: role of the amygdala and vmPFC // Neuron. 2004. Vol. 43. № 6. P. 897–905. DOI:10.1016/j.neuron.2004.08.042
32. Pizzie R.G., McDermott C.L., Salem T.G., Kraemer D.J. Neural evidence for cognitive reappraisal as a strategy to alleviate the effects of math anxiety // Social Cognitive and Affective Neuroscience. 2020. Vol. 15. № 12. P. 1271–1287. DOI:10.1093/scan/nsaa161
33. Pletzer B., Wood G., Moeller K., Nuerk H.C., Kerschbaum H.H. Predictors of performance in a real-life statistics examination depend on the individual cortisol profile // Biol. Psychol. 2010. Vol. 85. P. 410–416. DOI:10.1016/j.biopsycho.2010.08.015
34. Richardson F.C., Suinn R.M. The mathematics anxiety rating scale: psychometric data // Journal of counseling Psychology. 1972. Vol. 19. № 6. P. 551. DOI:10.1037/h0033456
35. Smith D.D., Meca A., Bottenhorn K.L., Bartley J.E., Riedel M.C., Salo T., Laird A.R. Task-based attentional and default mode connectivity associated with science and math anxiety profiles among university physics students // Trends in Neuroscience and Education. 2023. P. 100204. DOI:10.1016/j.tine.2023.100204
36. Soltanlou M., Artemenko C., Dresler T., Fallgatter A.J., Ehlis A.C., Nuerk H.C. Math anxiety in combination with low visuospatial memory impairs math learning in children // Frontiers in psychology. 2019. Vol. 10. P. 89. DOI:10.3389/fpsyg.2019.00089
37. Strohmaier A.R., Schiepe-Tiska A., Müller F., Reiss K. Mathematical reading patterns-The influence of self-concept and situational context // Annual Meeting of the American Educational Research Association (AERA). San Antonio, TX, 2017.
38. Suárez-Pellicioni M., Núñez-Peña M.I., Colomé À. Abnormal error monitoring in math-anxious individuals: evidence from error-related brain potentials // PloS one. 2013. Vol. 8. № 11. P. e81143. DOI:10.1371/journal.pone.0081143
39. Suarez-Pellicioni M., Núñez-Peña M.I., Colome A. Reactive recruitment of attentional control in math anxiety: an ERP study of numeric conflict monitoring and adaptation // PloS one. 2014. Vol. 9. № 6. P. e99579. DOI:10.1371/journal.pone.0099579
40. Wang Z., Hart S.A., Kovas Y., Lukovski S., Soden B., Thompson L.A. et al. Who is afraid of math? Two sources of genetic variance for mathematical anxiety // J. Child Psychol. Psychiatry. 2014. Vol. 55. P. 1056–1064. DOI:10.1111/jcpp.12224
41. Young C.B., Wu S.S., Menon V. The neurodevelopmental basis of math anxiety // Psychological science. 2012. Vol. 23. № 5. P. 492–501. DOI:10.1177/0956797611429134
42. Zhban E.S., Likhanov M.V., Zakharov I.M., Bezrukova E.M., Malykh S.B. The Role of Mathematical and trait anxiety in Mental fatigue: an eeg investigation // Psychology in Russia: State of the art. 2018. Vol. 11. № 4. P. 79–95. DOI:10.11621/pir.2018.0406