AccScience Publishing / JCBP / Online First / DOI: 10.36922/JCBP026340046
Cite this article
1
Download
44
Views
Related Info Links
More by Authors Links
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
ORIGINAL RESEARCH ARTICLE

Altered neural synchrony during semantic processing of nonverbal emotional expressions in individuals with alexithymia

Xianrui Li1,2,3 ,  Jianli Zhu4 ,  Qian Luo5 ,  Xueyang Wang2,3 ,  Dongtao Wei2,3 ,  Jiang Qiu2,3*
Show Less
1 Department of Clinical Psychology, Shandong Daizhuang Hospital, Jining, Shandong , China
2 Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing , China
3 Faculty of Psychology, Southwest University, Chongqing , China
4 Nanlang Outpatient Department, The Zhongshan Third People’s Hospital, Zhongshan, Guangdong , China
5 College of Mechanical Engineering, Chongqing Vocational and Technical University of Mechatronics, Chongqing , China
Received: 19 August 2026 | Revised: 23 September 2026 | Accepted: 9 October 2026 | Published online: 27 October 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Alexithymia is a subclinical personality trait characterized by difficulty in identifying and describing feelings and has been linked to deficits in processing nonverbal emotional expressions. However, the neural mechanisms through which alexithymia affects the semantic processing of such expressions remain unclear. To address this gap, 57 participants were recruited and categorized into high alexithymia (HA; n = 29) and low alexithymia (LA; n = 28) groups based on their scores on the Toronto Alexithymia Scale. We utilized task-based functional magnetic resonance imaging to assess group differences in inter-subject neural synchrony during the semantic processing of nonverbal emotional expressions. The results revealed significantly greater inter-subject correlation (ISC) in the HA group than in the LA group, indicating enhanced neural synchrony among individuals with HA. Specifically, increased ISC was observed in the cuneus and the orbital part of the inferior frontal gyrus. Further analyses demonstrated that the supramarginal gyrus and the temporal pole of the middle temporal gyrus may be involved in the semantic processing of nonverbal emotional expressions. These findings provide evidence for altered neural synchrony during the semantic processing of nonverbal emotional expressions in individuals with HA and offer new insights into the neural mechanisms underlying individual differences in the processing of nonverbal emotional expressions.

Keywords
Alexithymia
Nonverbal emotional expressions
Emotion concept
Inter-subject correlations
Functional magnetic resonance imaging
Funding
This research was supported by the Shandong Provincial Medical and Health Science and Technology Project (202523010849), the Shandong Provincial Natural Science Foundation (ZR2026QC0239), and the National Social Science Fund of China (22VRC191).
Conflict of interest
The authors declare they have no competing interests.
References
  1. Honkalampi K, Koivumaa-Honkanen H, Tanskanen A, Hintikka J, Lehtonen J, Viinamäki H. Why Do Alexithymic Features Appear to Be Stable? Psychother Psychosom. 2001;70(5):247-253. doi: 10.1159/000056262
  2. Nemiah JC, Freyberger H, Sifneos PE. Alexithymia: A view of the psychosomatic process. In O. W. Hill (Ed.), Modern trends in psychosomatic medicine. London: Butterworths. 1976;3:430-439.
  3. Bagby RM, Parker JDA, Taylor GJ. Twenty-five years with the 20-item Toronto Alexithymia Scale. J Psychosom Res. 2020;131:109940. doi: 10.1016/j.jpsychores.2020.109940
  4. Sifneos PE. The Prevalence of ‘Alexithymic’ Characteristics in Psychosomatic Patients. Psychother Psychosom. 1973:22(2-6):255-262. doi: 10.1159/000286529
  5. Lee KS, Murphy J, Catmur C, Bird G, Hobson H. Furthering the language hypothesis of alexithymia: An integrated review and meta-analysis. Neurosci Biobehav Rev. 2022;141:104864. doi: 10.1016/j.neubiorev.2022.104864
  6. Brooks JA, Shablack H, Gendron M, Satpute AB, Parrish MH, Lindquist KA. The role of language in the experience and perception of emotion: a neuroimaging meta-analysis. Soc Cogn Affect Neurosci. 2016:12(2):169-183. doi: 10.1093/scan/nsw121
  7. Hobson H, Brewer R, Catmur C, Bird G. The Role of Language in Alexithymia: Moving Towards a Multiroute Model of Alexithymia. Emot Rev. 2019;11(3):247-261. doi: 10.1177/1754073919838528
  8. Xu F. The role of language in acquiring object kind concepts in infancy. Cognition. 2002;85(3):223-250. doi: 10.1016/s0010-0277(02)00109-9
  9. Lupyan G, Rakison DH, McClelland JL. Language is not Just for Talking. Psychol Sci. 2007;18(12):1077-1083. doi: 10.1111/j.1467-9280.2007.02028.x
  10. Lindquist KA, Jackson JC, Leshin J, Satpute AB, Gendron M. The cultural evolution of emotion. Nat Rev Psychol. 2022;1(11):669-681. doi: 10.1038/s44159-022-00105-4
  11. Barrett LF. Are Emotions Natural Kinds? Perspect Psychol Sci. 2006;1(1):28-58. doi: 10.1111/j.1745-6916.2006.00003.x
  12. Kousta ST, Vigliocco G, Vinson DP, Andrews M, Del Campo E. The representation of abstract words: Why emotion matters. J Exp Psychol Gen. 2011;140(1):14-34. doi: 10.1037/a0021446
  13. Tracy JL, Robins RW. The automaticity of emotion recognition. Emotion. 2008;8(1):81-95. doi: 10.1037/1528-3542.8.1.81
  14. Barrick EM, Thornton MA, Zhao Z, Tamir DI. Individual differences in emotion prediction and implications for social success. Emotion. 2024;24(7):1697-1708. doi: 10.1037/emo0001386
  15. Schirmer A, Adolphs R. Emotion Perception from Face, Voice, and Touch: Comparisons and Convergence. Trends Cogn Sci. 2017;21(3):216-228. doi: 10.1016/j.tics.2017.01.001
  16. Berthoz S, Artiges E, Van de Moortele PF, et al. Effect of Impaired Recognition and Expression of Emotions on Frontocingulate Cortices: An fMRI Study of Men With Alexithymia. AJP. 2002;159(6):961-967. doi: 10.1176/appi.ajp.159.6.961
  17. Kano M, Fukudo S, Gyoba J, et al. Specific brain processing of facial expressions in people with alexithymia: an H215O‐PET study. Brain. 2003;126(6):1474-1484. doi: 10.1093/brain/awg131
  18. Pollatos O, Schubö A, Herbert BM, Matthias E, Schandry R. Deficits in early emotional reactivity in alexithymia. Psychophysiology. 2008;45(5):839-846. doi: 10.1111/j.1469-8986.2008.00674.x
  19. Taylor GJ. Recent Developments in Alexithymia Theory and Research. Can J Psychiatry. 2000;45(2):134-142. doi: 10.1177/070674370004500203
  20. van der Velde J, Servaas MN, Goerlich KS, et al. Neural correlates of alexithymia: A meta-analysis of emotion processing studies. Neurosci Biobehav Rev. 2013;37(8):1774-1785. doi: 10.1016/j.neubiorev.2013.07.008
  21. Li X, Wang X, Peng C, et al. Alexithymia shapes intersubject synchrony in brain activity during interoceptive sensation representations. Cerebral Cortex. 2025;35(3):bhaf060. doi: 10.1093/cercor/bhaf060
  22. Bagby RM, Parker JDA, Taylor GJ. The twenty-item Toronto Alexithymia scale—I. Item selection and cross-validation of the factor structure. J Psychosom Res. 1994;38(1):23-32. doi: 10.1016/0022-3999(94)90005-1
  23. Zhu X, Yi J, Yao S, Ryder AG, Taylor GJ, Bagby RM. Cross-cultural validation of a Chinese translation of the 20-item Toronto Alexithymia Scale. Compr Psychiatry. 2007;48(5):489-496. doi: 10.1016/j.comppsych.2007.04.007
  24. Li X, Peng C, Qin F, et al. Basolateral Amygdala Functional Connectivity in Alexithymia: Linking Interoceptive Sensibility and Cognitive Empathy. Neuroscience. 2024;539:12-20. doi: 10.1016/j.neuroscience.2023.12.014
  25. Keltner D, Sauter D, Tracy J, Cowen A. Emotional Expression: Advances in Basic Emotion Theory. J Nonverbal Behav. 2019;43(2):133-160. doi: 10.1007/s10919-019-00293-3
  26. Keltner D, Cordaro DT. Understanding Multimodal Emotional Expressions. Oxf Scholarsh Online. 2017. doi: 10.1093/acprof:oso/9780190613501.003.0004
  27. Manokara K, Đurić M, Fischer A, Sauter D. Do People Agree on How Positive Emotions Are Expressed? A Survey of Four Emotions and Five Modalities Across 11 Cultures. J Nonverbal Behav. 2021;45(4):601-632. doi: 10.1007/s10919-021-00376-0
  28. Kriegeskorte N. Representational similarity analysis – connecting the branches of systems neuroscience. Front Sys Neurosci. 2008;2:4. doi: 10.3389/neuro.06.004.2008
  29. Kriegeskorte N, Mur M, Ruff DA, et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey. Neuron. 2008;60(6):1126-1141. doi: 10.1016/j.neuron.2008.10.043
  30. Wang X, Bi Y. Idiosyncratic Tower of Babel: Individual Differences in Word-Meaning Representation Increase as Word Abstractness Increases. Psychol Sci. 2021;32(10):1617-1635. doi: 10.1177/09567976211003877
  31. Yan CG, Wang XD, Zuo XN, Zang YF. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinform. 2016;14(3):339-351. doi: 10.1007/s12021-016-9299-4
  32. Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R. Intersubject Synchronization of Cortical Activity During Natural Vision. Science. 2004;303(5664):1634-1640. doi: 10.1126/science.1089506
  33. Hasson U, Malach R, Heeger DJ. Reliability of cortical activity during natural stimulation. Trends Cogn Sci. 2010;14(1):40-48. doi: 10.1016/j.tics.2009.10.011
  34. Finn ES, Corlett PR, Chen G, Bandettini PA, Constable RT. Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative. Nat Commun. 2018;9(1):2043. doi: 10.1038/s41467-018-04387-2
  35. Vucurovic K, Raucher-Chéné D, Obert A, et al. Activation of the left medial temporal gyrus and adjacent brain areas during affective theory of mind processing correlates with trait schizotypy in a nonclinical population. Soc Cogn Affect Neurosci. 2022;18(1):nsac051. doi: 10.1093/scan/nsac051
  36. Shi W, Zhang Y, Li X, Lin N. Neural basis of social concept representation and social semantic integration. Adv Psychol Sci. 2024;32(2):276-286. doi: 10.3724/sp.j.1042.2024.00276.
  37. Zhao Y, Zhang L, Rütgen M, Sladky R, Lamm C. Neural dynamics between anterior insular cortex and right supramarginal gyrus dissociate genuine affect sharing from perceptual saliency of pretended pain. eLife. 2021;10:e69994. doi: 10.7554/elife.69994
  38. Wada S, Honma M, Masaoka Y, et al. Volume of the right supramarginal gyrus is associated with a maintenance of emotion recognition ability. Hahn A, ed. PLoS ONE. 2021;16(7):e0254623. doi: 10.1371/journal.pone.0254623
  39. Uono S, Sato W, Kochiyama T, et al. Neural substrates of the ability to recognize facial expressions: a voxel-based morphometry study. Soc Cogn Affect Neurosci. 2016:487-495. doi: 10.1093/scan/nsw142
  40. Sabatinelli D, Fortune EE, Li Q, et al. Emotional perception: Meta-analyses of face and natural scene processing. NeuroImage. 2011;54(3):2524-2533. doi: 10.1016/j.neuroimage.2010.10.011
  41. Vigneau M, Beaucousin V, Hervé PY, et al. Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing. NeuroImage. 2006;30(4):1414-1432. doi: 10.1016/j.neuroimage.2005.11.002
  42. Zald DH, McHugo M, Ray KL, Glahn DC, Eickhoff SB, Laird AR. Meta-Analytic Connectivity Modeling Reveals Differential Functional Connectivity of the Medial and Lateral Orbitofrontal Cortex. Cereb Cortex. 2012;24(1):232-248. doi: 10.1093/cercor/bhs308
  43. Torre JB, Lieberman MD. Putting Feelings Into Words: Affect Labeling as Implicit Emotion Regulation. Emot Rev. 2018;10(2):116-124. doi: 10.1177/1754073917742706
  44. Reker M, Ohrmann P, Rauch AV, et al. Individual differences in alexithymia and brain response to masked emotion faces. Cortex. 2010;46(5):658-667. doi: 10.1016/j.cortex.2009.05.008
  45. Goerlich-Dobre KS, Witteman J, Schiller NO, van Heuven VJP, Aleman A, Martens S. Blunted feelings: Alexithymia is associated with a diminished neural response to speech prosody. Soc Cogn Affect Neurosci. 2014;9(8):1108-1117. doi: 10.1093/scan/nst075
  46. Guo CC, Gorno-Tempini ML, Gesierich B, et al. Anterior temporal lobe degeneration produces widespread network-driven dysfunction. Brain. 2013;136(10):2979-2991. doi: 10.1093/brain/awt222
  47. Patterson K, Nestor PJ, Rogers TT. Where do you know what you know? The representation of semantic knowledge in the human brain. Nat Rev Neurosci. 2007;8(12):976-987. doi: 10.1038/nrn2277
  48. Rice GE, Hoffman P, Lambon Ralph MA. Graded specialization within and between the anterior temporal lobes. Ann New York Acad Sci USA. 2015;1359(1):84-97. doi: 10.1111/nyas.12951
  49. Younes K, Borghesani V, Montembeault M, et al. Right temporal degeneration and socioemotional semantics: semantic behavioural variant frontotemporal dementia. Brain. 2022;145(11):4080-4096. doi: 10.1093/brain/awac217
  50. Binder JR, Desai RH. The neurobiology of semantic memory. Trends Cogn Sci. 2011;15(11):527-536. doi: 10.1016/j.tics.2011.10.001
  51. Barrett LF, Satpute AB. Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain. Curr Opin Neurobiol. 2013;23(3):361-372. doi: 10.1016/j.conb.2012.12.012
  52. Buckner RL, Andrews‐Hanna JR, Schacter DL. Brain’ss Default Network Ann New York Acad Sci. 2008;1124:1-38. doi: 10.1196/annals.1440.011
  53. Li W, Mai X, Liu C. The default mode network and social understanding of others: what do brain connectivity studies tell us. Front Hum Neurosci. 2014;8:74. doi: 10.3389/fnhum.2014.00074
  54. Von Der Heide RJ, Skipper LM, Klobusicky E, Olson IR. Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis. Brain. 2013;136(6):1692-1707. doi: 10.1093/brain/awt094
  55. Smith R, Bajaj S, Dailey NS, et al. Greater cortical thickness within the limbic visceromotor network predicts higher levels of trait emotional awareness. Conscious Cogn. 2018;57:54-61. doi: 10.1016/j.concog.2017.11.004
  56. Seghier ML. The Angular Gyrus: : multiple functions and multiple subdivisions. Neuroscientist. 2012;19(1):43-61. doi: 10.1177/1073858412440596
  57. Binder JR, Desai RH, Graves WW, Conant LL. Where Is the Semantic System? A Critical Review and Meta-Analysis of 120 Functional Neuroimaging Studies. Cereb Cortex. 2009;19(12):2767-2796. doi: 10.1093/cercor/bhp055
  58. Kret ME, Pichon S, Grèzes J, de Gelder B. Similarities and differences in perceiving threat from dynamic faces and bodies. An fMRI study. NeuroImage. 2011;54(2):1755-1762. doi: 10.1016/j.neuroimage.2010.08.012
  59. Sander D, Grandjean D, Pourtois G, et al. Emotion and attention interactions in social cognition: Brain regions involved in processing anger prosody. NeuroImage. 2005;28(4):848-858. doi: 10.1016/j.neuroimage.2005.06.023
  60. Seiferth NY, Pauly K, Habel U, et al. Increased neural response related to neutral faces in individuals at risk for psychosis. NeuroImage. 2008;40(1):289-297. doi: 10.1016/j.neuroimage.2007.11.020
  61. Breckel TP, Giessing C, Thiel CM. Impact of brain networks involved in vigilance on processing irrelevant visual motion. Neuroimage. 2011;55(4):1754-1762. doi: 10.1016/j.neuroimage.2011.01.025
  62. Silani G, Lamm C, Ruff CC, Singer T. Right Supramarginal Gyrus Is Crucial to Overcome Emotional Egocentricity Bias in Social Judgments. J Neurosci. 2013;33(39):15466-15476. doi: 10.1523/jneurosci.1488-13.2013
  63. Patel S, Oishi K, Wright A, et al. Right Hemisphere Regions Critical for Expression of Emotion Through Prosody. Front Neurol. 2018;9:224. doi: 10.3389/fneur.2018.00224
Share
Back to top
Journal of Clinical and Basic Psychosomatics, Electronic ISSN: 2972-4414 Print ISSN: 3060-8562, Published by AccScience Publishing