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Fear learning in unmedicated patients with anxiety disorders: a comparison of delay conditioning, fear reversal, and trace conditioning
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  • Published: 02 April 2026

Fear learning in unmedicated patients with anxiety disorders: a comparison of delay conditioning, fear reversal, and trace conditioning

  • Enric Vilajosana  ORCID: orcid.org/0009-0007-6057-17951,2,3,
  • Simone Battaglia  ORCID: orcid.org/0000-0003-4133-654X4,
  • Pamela Chavarría-Elizondo  ORCID: orcid.org/0000-0002-8177-37715,6,7,
  • Ignacio Martínez‑Zalacaín  ORCID: orcid.org/0000-0002-4036-02845,8,
  • Asier Juaneda-Seguí5,
  • Cristina Saiz-Masvidal5,
  • Víctor De la Peña-Arteaga  ORCID: orcid.org/0000-0001-8627-26535,9,
  • Alexander J. Shackman  ORCID: orcid.org/0000-0002-3629-470410,11,12,
  • Joaquim Radua1,2,7,
  • Carles Soriano-Mas  ORCID: orcid.org/0000-0003-4574-659713 na1 &
  • …
  • Miquel A. Fullana  ORCID: orcid.org/0000-0003-3863-52231,14 na1 

Translational Psychiatry , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Human behaviour
  • Learning and memory
  • Psychiatric disorders

Abstract

Anxiety disorders are common and impairing, yet their underlying mechanisms remain incompletely understood. Fear learning provides a critical translational framework for investigating pathological anxiety, bridging laboratory models and clinical phenomena. Prior studies have been limited by important methodological issues, including the inclusion of non-anxiety diagnoses, high comorbidity, and medication use. Here we examined three forms of fear learning— delay conditioning, fear reversal, and trace conditioning—in unmedicated adults with minimally comorbid primary anxiety disorders (Generalized Anxiety Disorder and Social Anxiety Disorder; n = 34) and demographically matched controls (n = 102). Individuals with anxiety disorders showed greater psychophysiological arousal (skin conductance responses) and reduced brain activation (assessed using functional magnetic resonance imaging) in the left dorsolateral prefrontal cortex to the learned safety cue (CS − ) during the early phase of delay conditioning. Differences between individuals with anxiety disorders and controls were not evident for the learned threat versus learned safety (CS+ versus CS − ) contrasts during delay conditioning, fear-reversal, or trace conditioning in psychophysiological arousal, brain activation, or subjective ratings. Taken together, these observations underscore the selectivity of Pavlovian learning deficits among unmedicated individuals with anxiety disorders and highlight differences in learning or using safety-related information to adaptively regulate fear.

Data availability

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Code availability

The code that supports the findings of this study is available from the corresponding author upon reasonable request.

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Acknowledgements

J.R., C.S.M and M.A.F. have received support from the Spanish Ministry of Science and Innovation as part of the Plan Nacional de I + D + I and co-financed by the Instituto de Salud Carlos III (ISCIII) – Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER) [PI16/00144, PI16/00889, PI19/01171, PI22/00261, PI19/00272]. C.S.M. and M.A.F have received support from the Agencia Estatal de Investigación (PID2022-139081OB-C21; PID2022- 139081OB-C22) financed by MICIU/AEI /10.13039/501100011033, and FEDER, UE. A.S. has received support from National Institutes of Health (AA030042, AA031261, MH131264, MH121409, MH126426) and University of Maryland. C.S.M. has received support from the Marató TV3 foundation (202201 30 31 32 33). J.R. and C.S.M. have received support from Agència de Gestió d’Ajuts Universitaris i de Recerca [2021SGR01017, 2021SGR1128]. S.B. was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), and project MNESYS (PE0000006) - a multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553, October 11, 2022) and Bial Foundation, Portugal (235/22).

Author information

Author notes
  1. These authors contributed equally: Carles Soriano-Mas, Miquel A. Fullana.

Authors and Affiliations

  1. Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain

    Enric Vilajosana, Joaquim Radua & Miquel A. Fullana

  2. Department of Medicine, Institute of Neurosciences, University of Barcelona, Barcelona, Spain

    Enric Vilajosana & Joaquim Radua

  3. University of Vic – Central University of Catalonia, C. Sagrada Família, 7, 08500, Vic, Barcelona, Spain

    Enric Vilajosana

  4. Department of Theoretical and Applied Sciences, eCampus University, Novedrate (Como), Italy

    Simone Battaglia

  5. Psychiatry and Mental Health Group, Neuroscience Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain

    Pamela Chavarría-Elizondo, Ignacio Martínez‑Zalacaín, Asier Juaneda-Seguí, Cristina Saiz-Masvidal & Víctor De la Peña-Arteaga

  6. Department of Clinical Sciencies, Universitat de Barcelona, Barcelona, Spain

    Pamela Chavarría-Elizondo

  7. Network Center for Biomedical Research on Mental Health (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain

    Pamela Chavarría-Elizondo & Joaquim Radua

  8. Radiology Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Carrer de Feixa Llarga SN, 08907, Barcelona, Spain

    Ignacio Martínez‑Zalacaín

  9. Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain

    Víctor De la Peña-Arteaga

  10. Department of Psychology, University of Maryland, College Park, MD, 20742, US

    Alexander J. Shackman

  11. Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, 20742, US

    Alexander J. Shackman

  12. Maryland Neuroimaging Center, University of Maryland, College Park, MD, 20742, US

    Alexander J. Shackman

  13. Department of Social Psychology and Quantitative Psychology, Institute of Neurosciences, Universitat de Barcelona (UB), and Institut d’Investigació Biomèdica de Bellvitge (IDIBELL) and CIBERSAM, Barcelona, Spain

    Carles Soriano-Mas

  14. Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain

    Miquel A. Fullana

Authors
  1. Enric Vilajosana
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Contributions

EV, SB: Data curation, Formal analysis, Methodology, Writing - Review & Editing; PCE, IMZ, AJS, C-SM, VDP: Data curation, Formal analysis, Writing – Review & Editing; AJSS: Conceptualization, Writing - Review & Editing; JR: Formal analysis, Methodology; Writing – Review & Editing; MAF, CSM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing - Original Draft, Writing - Review & Editing.

Corresponding author

Correspondence to Miquel A. Fullana.

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The authors declare no competing interests.

Ethics approval

The study was approved by the ethics committee at Hospital de Bellvitge in Barcelona (protocol # PR144/16). All participants provided informed written consent prior to participating.

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Vilajosana, E., Battaglia, S., Chavarría-Elizondo, P. et al. Fear learning in unmedicated patients with anxiety disorders: a comparison of delay conditioning, fear reversal, and trace conditioning. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-026-03996-6

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  • Received: 01 July 2025

  • Revised: 19 February 2026

  • Accepted: 16 March 2026

  • Published: 02 April 2026

  • DOI: https://doi.org/10.1038/s41398-026-03996-6

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