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. 2022 Aug 4:16:940759.
doi: 10.3389/fnhum.2022.940759. eCollection 2022.

Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review

Rebecca Strafella  1   2 , Robert Chen  1   3   4 , Tarek K Rajji  1   2   5   6 , Daniel M Blumberger  1   2   5 , Daphne Voineskos  1   2   3   5
Affiliations

Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review

Rebecca Strafella et al. Front Hum Neurosci. .

Abstract

Electroencephalography (EEG) is a non-invasive method to identify markers of treatment response in major depressive disorder (MDD). In this review, existing literature was assessed to determine how EEG markers change with different modalities of MDD treatments, and to synthesize the breadth of EEG markers used in conjunction with MDD treatments. PubMed and EMBASE were searched from 2000 to 2021 for studies reporting resting EEG (rEEG) and transcranial magnetic stimulation combined with EEG (TMS-EEG) measures in patients undergoing MDD treatments. The search yielded 966 articles, 204 underwent full-text screening, and 51 studies were included for a narrative synthesis of findings along with confidence in the evidence. In rEEG studies, non-linear quantitative algorithms such as theta cordance and theta current density show higher predictive value than traditional linear metrics. Although less abundant, TMS-EEG measures show promise for predictive markers of brain stimulation treatment response. Future focus on TMS-EEG measures may prove fruitful, given its ability to target cortical regions of interest related to MDD.

Keywords: TMS-EEG; antidepressant; biomarkers; electroencephalography (EEG); major depressive disorder (MDD); repetitive transcranial magnetic stimulation (rTMS); transcranial magnetic stimulation (TMS); treatment.

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References

    1. Abhang P. A., Gawali B. W., Mehrotra S. C. (2016). Introduction to EEG-and Speech-Based Emotion Recognition. Academic Press.
    1. Aftanas L. I., Varlamov A. A., Pavlov S. V., Makhnev V. P., Reva N. V. (2002). Time-dependent cortical asymmetries induced by emotional arousal: EEG analysis of event-related synchronization and desynchronization in individually defined frequency bands. Int. J. Psychophysiol. 44, 67–82. 10.1016/S0167-8760(01)00194-5 - DOI - PubMed
    1. Aftanas L. I., Golocheikine S. A. (2001). Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci. Lett. 310, 57–60. 10.1016/S0304-3940(01)02094-8 - DOI - PubMed
    1. Alexander M. L., Alagapan S., Lugo C. E., Mellin J. M., Lustenberger C., Rubinow D. R., et al. . (2019). Double-blind, randomized pilot clinical trial targeting alpha oscillations with transcranial alternating current stimulation (tACS) for the treatment of major depressive disorder (MDD). Transl. Psychiatry 9, 1–12. 10.1038/s41398-019-0439-0 - DOI - PMC - PubMed
    1. Almeida Montes L. G., Prado Alcántara H., Portillo Cedeño B. A., Hernández García A. O., Fuentes Rojas P. E. (2015). Persistent decrease in alpha current density in fully remitted subjects with major depressive disorder treated with fluoxetine: a prospective electric tomography study. Int. J. Psychophysiol. 96, 191–200. 10.1016/j.ijpsycho.2015.03.010 - DOI - PubMed

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