Abstract
Communication apprehension is a common fear related to social situations and is thought to be linked to negative self-evaluation. However, the neuroanatomical mechanisms underlying communication apprehension, both in general communication apprehension and in specific communication contexts (such as interpersonal communication, group discussion, meetings and public speaking), have not been fully explored. Our study used voxel-based morphometry to investigate the relationship between gray and white matter volumes and communication apprehension in a large sample of university students (n = 647, age = 19.66 ± 1.35, 468 females). We found that communication apprehension was highest in public speaking compared to the other three communication contexts. General communication apprehension was associated with gray matter volume in the ventromedial prefrontal cortex and the right anterior temporal gyrus, both of which are part of the default mode network and are believed to be involved in self-referential processing. The four specific contexts also exhibited associations with certain brain regions and shared similarities with general communication apprehension. Additionally, we identified a unique association of communication apprehension in the public speaking with reduced corpus callosum volume. These findings provide insights into the neural correlates of communication apprehension and suggest that interventions aiming at improving self-evaluation may help alleviate communication apprehension in young adults.
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Data availability
The MRI data have been previously published and are publicly available at: http://fcon_1000.projects.nitrc.org/indi/retro/southwestuni_qiu_index.html.Details about Gene-Brain-Behavior Project can be required through the official lab website of the project’s Principal Investigator, Professor Jiang Qiu, (http://www.qiujlab.com/)The behavioral questionnaire data from the current study are publicly available on the OSF platform: https://osf.io/2ucey/overview? view_only=41952f2f10fb49fb931c231863b7035f.
References
Mccroskey, J. C. An Introduction To Rhetorical Communication (Routledge, 2015). https://doi.org/10.4324/9781315663791
Leichsenring, F. & Leweke, F. Social anxiety disorder. N Engl. J. Med. 376, 2255–2264 (2017).
Sun, P. P. & Teng, L. S. Why so nervous? Revisiting the sources of speech anxiety in Chinese as a second Language. System 103, 102647 (2021).
Scott, M. D., McCroskey, J. C. & Sheahan, M. E. Measuring communication apprehension. J. Commun. 28, 104–111 (1978).
Wang, H. Survey Report of face-audience Communication Apprehension of College Students in Southwest China (Higher Education Press, 2015).
Campero-Oliart, A. R., Lovelace, C. T. & Levitan, L. C. Contexts of communication apprehension and their relation to self-esteem. Psi Chi J. Psychol. Res. 25, 42–53 (2020).
Xie, S., Zhang, X., Cheng, W. & Yang, Z. Adolescent anxiety disorders and the developing brain: comparing neuroimaging findings in adolescents and adults. Gen. Psychiatry. 34, e100411 (2021).
Watson, B. R. Speaking up in the 21st century: the effects of communication apprehension and internet self-efficacy on use of social networking websites. in (2007).
McCroskey, J. C. & Sheahan, M. E. Communication apprehension, social preference, and social behavior in a college environment. Commun. Q. 26, 41–45 (1978).
Sealy, M. K. Communication in the time of COVID-19: an examination of imagined interactions and communication apprehension during the COVID-19 pandemic. Imagin Cogn. Personal. 41, 158–186 (2021).
Prentiss, S. Speech anxiety in the communication classroom during the COVID-19 pandemic: supporting student success. Front Commun 6, 642109 (2021).
Ren, C. & Tao, Q. Neural Circuits Underlying Innate Fear. in Neural Circuits of Innate Behaviors (ed. Wang, H.) 1–7Springer, Singapore, (2020). https://doi.org/10.1007/978-981-15-7086-5_1
Awobamise, A., Jarrar, Y. & Nweke, G. E. Social communication Apprehension, Self-Esteem and Facebook addiction among university students in Uganda. Contemp. Educ. Technol. 14, ep354 (2022).
Nnamani, A. et al. Cognitive behaviour Language therapy for speech anxiety among stuttering school adolescents. J. Int. Med. Res. 47, 3109–3114 (2019).
Chen, W. G. et al. The emerging science of interoception: Sensing, Integrating, Interpreting, and regulating signals within the self. Trends Neurosci. 44, 3–16 (2021).
Quigley, K. S., Kanoski, S., Grill, W. M., Barrett, L. F. & Tsakiris, M. Functions of interoception: from energy regulation to experience of the self. Trends Neurosci. 44, 29–38 (2021).
Berntson, G. G. & Khalsa, S. S. Neural circuits of interoception. Trends Neurosci. 44, 17–28 (2021).
Buckner, R. L., Andrews-Hanna, J. R. & Schacter, D. L. The brain’s default network: anatomy, function, and relevance to disease. Ann. N Y Acad. Sci. 1124, 1–38 (2008).
Davey, C. G., Pujol, J. & Harrison, B. J. Mapping the self in the brain’s default mode network. NeuroImage 132, 390–397 (2016).
Erata, M. C. et al. The reflection of Self-Esteem on the brain structure: A voxel based morphometry study in healthy young adults. Arch. Neuropsychiatry. 60, 202–206 (2023).
Bryant, K. L., Flattery, R. & Schurz, M. The role of the Temporal lobe in human social cognition. In Cooperation and Conflict: the Interaction of Opposites in Shaping Social Behavior (eds Brosnan, S. F. & Wilczynski, W.) 104–133 (Cambridge University Press, 2021). https://doi.org/10.1017/9781108671187.009.
Fan, L. et al. The human brainnetome atlas: A new brain atlas based on connectional architecture. Cereb. Cortex N Y N 1991. 26, 3508–3526 (2016).
Amft, M. et al. Definition and characterization of an extended social-affective default network. Brain Struct. Funct. 220, 1031–1049 (2015).
Lewis, R. G., Florio, E., Punzo, D. & Borrelli, E. The brain’s reward system in health and disease. In Circadian Clock in Brain Health and Disease (eds Engmann, O. & Brancaccio, M.) 57–69 (Springer International Publishing, 2021). https://doi.org/10.1007/978-3-030-81147-1_4.
Rappaport, B. I., Kandala, S., Luby, J. L. & Barch, D. M. Brain reward system dysfunction in adolescence: Current, Cumulative, and developmental periods of depression. Am. J. Psychiatry. 177, 754–763 (2020).
Dixon, M. L. & Gross, J. J. Dynamic network organization of the self: implications for affective experience. Curr. Opin. Behav. Sci. 39, 1–9 (2021).
Clauss, J. A. & Blackford, J. U. Behavioral Inhibition and risk for developing social anxiety disorder: a meta-analytic study. J. Am. Acad. Child. Adolesc. Psychiatry. 51, 1066–1075e1 (2012).
Aki, M. et al. Neural basis of self-esteem: social cognitive and emotional regulation insights. Front. Neurosci. 19, 1588567 (2025).
Brühl, A. B., Delsignore, A., Komossa, K. & Weidt, S. Neuroimaging in social anxiety disorder—A meta-analytic review resulting in a new neurofunctional model. Neurosci. Biobehav Rev. 47, 260–280 (2014).
Tovote, P., Fadok, J. P. & Lüthi, A. Neuronal circuits for fear and anxiety. Nat. Rev. Neurosci. 16, 317–331 (2015).
Wang, X., Chen, Q., Li, Y., Ding, K. & Qiu, J. The brain functional connectivity in the default mode network is associated with self-efficacy in young adults. Brain Imaging Behav. 16, 107–117 (2022).
Wu, J. et al. The neural correlates of optimistic and depressive tendencies of Self-Evaluations and Resting-State default mode network. Front Hum. Neurosci 9, 618 (2015).
Stendardi, D., Biscotto, F., Bertossi, E. & Ciaramelli, E. Present and future self in memory: the role of VmPFC in the self-reference effect. Soc. Cogn. Affect. Neurosci. 16, 1205–1213 (2021).
Mellem, M. S., Jasmin, K. M., Peng, C. & Martin, A. Sentence processing in anterior superior Temporal cortex shows a social-emotional bias. Neuropsychologia 89, 217–224 (2016).
Guell, X., Schmahmann, J. D., Gabrieli, J. D. & Ghosh, S. S. Functional gradients of the cerebellum. eLife 7, e36652 (2018).
Xue, A. et al. The detailed organization of the human cerebellum estimated by intrinsic functional connectivity within the individual. J. Neurophysiol. 125, 358–384 (2021).
Kozlovskiy, S. A. et al. Activation of left lingual gyrus related to working memory for schematic faces. Proc. 17th World Congr. Psychophysiol. IOP2014 Int. Organ. Psychophysiol. IOP Hiroshima Jpn. Sept. 23rd 27th 241 (2014). (2014) 94.
Palejwala, A. H. et al. Anatomy and white matter connections of the lingual gyrus and cuneus. World Neurosurg. 151, e426–e437 (2021).
Qiu, A., Adler, M., Crocetti, D., Miller, M. I. & Mostofsky, S. H. Basal ganglia shapes predict Social, Communication, and motor dysfunctions in boys with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry. 49, 539–551e4 (2010).
Sato, W. et al. Increased putamen volume in adults with autism spectrum disorder. Front Hum. Neurosci 8, 957 (2014).
Uono, S. et al. Putamen volume is negatively correlated with the ability to recognize fearful facial expressions. Brain Topogr. 30, 774–784 (2017).
Rolls, E. T. Emotion, motivation, decision-making, the orbitofrontal cortex, anterior cingulate cortex, and the amygdala. Brain Struct. Funct. 228, 1201–1257 (2023).
Stevens, F. L., Hurley, R. A. & Taber, K. H. Anterior cingulate cortex: unique role in cognition and emotion. J. Neuropsychiatry Clin. Neurosci. 23, 121–125 (2011).
Gallego, A., McHugh, L., Penttonen, M. & Lappalainen, R. Measuring public speaking anxiety: Self-report, behavioral, and physiological. Behav. Modif. 46, 782–798 (2022).
Koban, L., Andrews-Hanna, J. R., Ives, L., Wager, T. D. & Arch, J. J. Brain mediators of biased social learning of self-perception in social anxiety disorder. Transl Psychiatry. 13, 1–9 (2023).
Luders, E., Thompson, P. M. & Toga, A. W. The development of the corpus callosum in the healthy human brain. J. Neurosci. 30, 10985 (2010).
Lombardo, M. V., Chakrabarti, B., Lai, M. C., Baron-Cohen, S. & MRC AIMS Consortium. Self-referential and social cognition in a case of autism and agenesis of the corpus callosum. Mol. Autism. 3, 14 (2012).
Mangum, R. W., Miller, J. S., Brown, W. S., Nolty, A. A. T. & Paul, L. K. Everyday executive function and Self-Awareness in agenesis of the corpus callosum. J. Int. Neuropsychol. Soc. 27, 1037–1047 (2021).
Rocca, M. A. et al. Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology 74, 1252–1259 (2010).
Ebrahimi, O. V., Pallesen, S., Kenter, R. M. F. & Nordgreen, T. Psychological interventions for the fear of public speaking: A Meta-Analysis. Front Psychol 10, 488 (2019).
Ferreira Marinho, A. C., Mesquita de Medeiros, A., Côrtes Gama, A. C. & Caldas Teixeira, L. Fear of public speaking: perception of college students and correlates. J. Voice. 31, 127e7–127e11 (2017).
Gazzaniga, M. S. Cerebral specialization and interhemispheric communication: does the corpus callosum enable the human condition? Brain J. Neurol. 123 (Pt 7), 1293–1326 (2000).
Draganski, B. et al. Evidence for segregated and integrative connectivity patterns in the human basal ganglia. J. Neurosci. Off J. Soc. Neurosci. 28, 7143–7152 (2008).
Wang, Y., Derakhshan, A., Ghiasvand, F. & Esfandyari, M. Exploring Chinese and Iranian EAP students’ oral communication apprehension in english: A cross-cultural mixed-methods study. System 125, 103437 (2024).
Samokhvalova, A. & Kryukova, T. Communication difficulties in teenagers with health impairments. Psychol. Russ State Art. 9, 113–126 (2016).
Feng, Q. et al. Functional connectivity mediating passive coping style and perceived stress in predicting anxiety. J. Affect. Disord. 340, 828–834 (2023).
Chen, Q. et al. Brain hemispheric involvement in visuospatial and verbal divergent thinking. NeuroImage 202, 116065 (2019).
Chen, Q. et al. Longitudinal alterations of frontoparietal and frontotemporal networks predict future creative cognitive ability. Cereb. Cortex. 28, 103–115 (2018).
Liu, W. et al. Longitudinal test-retest neuroimaging data from healthy young adults in Southwest China. Sci. Data. 4, 170017 (2017).
Wang, H., Zhao, X. & Yuan, Y. The development of communication apprehension and Chinese university students’ Facing-Audience communication apprehension. J. Psychol. Sci. 37, 639–642 (2014). In Chinese).
Xu, Y. Reliability and validity of communication apprehension scale in college students. Chin. Ment Health J. 22, 288–290 (2008). In Chinese).
Pardoe, H., Pell, G. S., Abbott, D. F., Berg, A. T. & Jackson, G. D. Multi-site voxel-based morphometry: methods and a feasibility demonstration with childhood absence epilepsy. NeuroImage 42, 611–616 (2008).
Kanai, R. & Rees, G. The structural basis of inter-individual differences in human behaviour and cognition. Nat. Rev. Neurosci. 12, 231–242 (2011).
Bansal, R. & Peterson, B. S. Cluster-Level statistical inference in fMRI datasets: the unexpected behavior of random fields in high dimensions. Magn. Reson. Imaging. 49, 101–115 (2018).
Asano, S. et al. Reduced Gray matter volume in the default-mode network associated with insulin resistance. Cereb. Cortex N Y N 1991. 33, 11225–11234 (2023).
Yeo, B. T. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125–1165 (2011).
Funding
This research was supported by China Postdoctoral Science Foundation Funded Project (2023T160397) and the Youth Innovation Team in Universities of Shandong Province (2022KJ252).
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C.B.: conceptualization, methodology, software, formal analysis and writing. Q.T.: writing and revision. J.C.: formal analysis. C.L., conceptualization and writing. X.L.: formal analysis. D.W.: data collection. Z.X.: data collection and writing. K.W.: conceptualization, data collection, methodology, software, formal analysis, and writing.K.W. and D.W. were responsible for MRI scanning and data handling. K.W., J.C., and C.L. performed the MRI preprocessing and quality control.
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This research was approved by the Ethics Committee of Southwest University in January 2012 (approval number: SPY_2012_012). Written or electronic informed consent was obtained from the parents of the participants.
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Bai, C., Tian, Q., Chen, J. et al. Neuroanatomical correlates of communication apprehension in young adults using voxel-based morphometry. Sci Rep (2026). https://doi.org/10.1038/s41598-025-34598-9
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DOI: https://doi.org/10.1038/s41598-025-34598-9
