Neuroimaging in Anxiety and Depression: An Integrative Review of fMRI, EEG, and Neural Biomarkers

Autores/as

  • Marina CORRÊA FREITAS ICBS – International Center for Biomedical & Space Sciences, LIASTRA Institute , University of Aveiro image/svg+xml Autor/a https://orcid.org/0000-0003-1723-4113
    Conflictos de interés

    No conflict of interest.

  • Fabrício Corrêa Veloso ICBS – International Center for Biomedical & Space Sciences, LIASTRA Institute , Fundação de Apoio à Escola Técnica image/svg+xml Autor/a
    Conflictos de interés

    No conflict of interest.

Palabras clave:

Neuroimaging, Anxiety Disorders, Depressive Disorders, fMRI, EEG, Neural Biomarkers

Resumen

Anxiety and depressive disorders are highly prevalent psychiatric conditions associated with significant disability worldwide. Neuroimaging has advanced understanding of their neural substrates, particularly through functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This integrative review synthesized studies published between 2013 and 2025 retrieved from PubMed, Scopus, Web of Science, and PsycINFO, including adult clinical samples diagnosed with anxiety and/or depressive disorders. Evidence consistently indicates dysregulation within fronto-limbic circuitry and large-scale brain networks, notably involving the amygdala, prefrontal cortex, anterior cingulate cortex, and default mode network. fMRI findings highlight altered functional connectivity and impaired emotional regulation, whereas EEG studies reveal abnormalities in oscillatory activity and event-related potentials linked to attentional bias and cognitive control. Although convergent neural markers emerge across modalities, methodological heterogeneity limits reproducibility and clinical application. Multimodal integration of spatial and temporal neural measures may enhance biomarker reliability and support the development of precision psychiatry approaches.

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Biografía del autor/a

  • Marina CORRÊA FREITAS, ICBS – International Center for Biomedical & Space Sciences, LIASTRA Institute, University of Aveiro

    CEO Founder of LIASTRA and ICBS Laboratory | NASA OSDR AWG Researcher | NASA TOP Scientist | BSc. Biomedical Sciences at University of Aveiro | Postgrad in Astronomy, AI, Data Science & Machine Learning | MBA

Referencias

Brown, O., & Eremenko, P. (2006). The value proposition for fractionated spacecraft. Acta Astronautica, 58(12), 645–657. https://doi.org/10.1016/j.actaastro.2006.02.002

Disner, S. G., Beevers, C. G., Haigh, E. A. P., & Beck, A. T. (2011). Neural mechanisms of the cognitive model of depression. Nature Reviews Neuroscience, 12(8), 467–477. https://doi.org/10.1038/nrn3027

Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., … Liston, C. (2017). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine, 23(1), 28–38. https://doi.org/10.1038/nm.4246

Engel, A. K., & Fries, P. (2010). Beta-band oscillations—signalling the status quo? Current Opinion in Neurobiology, 20(2), 156–165. https://doi.org/10.1016/j.conb.2010.02.015

Etkin, A., & Wager, T. D. (2007). Functional neuroimaging of anxiety: A meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. American Journal of Psychiatry, 164(10), 1476–1488. https://doi.org/10.1176/appi.ajp.2007.07030504

Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8(9), 700–711. https://doi.org/10.1038/nrn2201

Hamilton, J. P., Farmer, M., Fogelman, P., & Gotlib, I. H. (2015). Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience. Biological Psychiatry, 78(4), 224–230. https://doi.org/10.1016/j.biopsych.2015.02.020

Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D., Quinn, K., … Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748–751. https://doi.org/10.1176/appi.ajp.2010.09091379

Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015). Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry, 72(6), 603–611. https://doi.org/10.1001/jamapsychiatry.2015.0071

Luck, S. J. (2014). An introduction to the event-related potential technique (2nd ed.). MIT Press.

Menon, V. (2011). Large-scale brain networks and psychopathology: A unifying triple network model. Trends in Cognitive Sciences, 15(10), 483–506. https://doi.org/10.1016/j.tics.2011.08.003

Moser, J. S., Moran, T. P., Schroder, H. S., Donnellan, M. B., & Yeung, N. (2013). On the relationship between anxiety and error monitoring: A meta-analysis and conceptual framework. Biological Psychology, 93(1), 1–10. https://doi.org/10.1016/j.biopsycho.2012.12.001

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Poldrack, R. A., Baker, C. I., Durnez, J., Gorgolewski, K. J., Matthews, P. M., Munafo, M. R., … Yarkoni, T. (2017). Scanning the horizon: Towards transparent and reproducible neuroimaging research. Nature Reviews Neuroscience, 18(2), 115–126. https://doi.org/10.1038/nrn.2016.167

Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128–2148. https://doi.org/10.1016/j.clinph.2007.04.019

Sheline, Y. I., Price, J. L., Yan, Z., & Mintun, M. A. (2010). Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proceedings of the National Academy of Sciences, 107(24), 11020–11025. https://doi.org/10.1073/pnas.1000446107

Thibodeau, R., Jorgensen, R. S., & Kim, S. (2006). Depression, anxiety, and resting frontal EEG asymmetry: A meta-analytic review. Biological Psychology, 71(1), 1–13. https://doi.org/10.1016/j.biopsycho.2005.01.005

World Health Organization. (2023). Depression and other common mental disorders: Global health estimates. World Health Organization.

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Publicado

27-02-2026

Cómo citar

Neuroimaging in Anxiety and Depression: An Integrative Review of fMRI, EEG, and Neural Biomarkers. (2026). Journal of Biomedical & Space Sciences (JBSS), 1. https://www.icbsjournals.org/index.php/jbss/article/view/2

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