Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets

Agarap, A. F. M. (2018). A neural network architecture combining gated recurrent unit (gru) and support vector machine (svm) for intrusion detection in network traffic data. Proc 2018 10th Int Conf Mach Learn Comput. 26–30.

Ang, Y.-S., Bruder, G. E., Keilp, J. G., Rutherford, A., Alschuler, D. M., Pechtel, P., et al. (2022). Exploration of baseline and early changes in neurocognitive characteristics as predictors of treatment response to bupropion, sertraline, and placebo in the EMBARC clinical trial. Psychological Medicine, 52, 2441–2449.

PubMed  Google Scholar 

Babayan, A., Erbey, M., Kumral, D., Reinelt, J. D., Reiter, A. M. F., Röbbig, J., et al. (2019). A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. Scientific Data, 6, 180308.

PubMed  PubMed Central  Google Scholar 

Benedetti, F., Lanotte, M., Lopiano, L., & Colloca, L. (2007). When words are painful: Unraveling the mechanisms of the nocebo effect. Neuroscience, 147(2), 260–271.

CAS  PubMed  Google Scholar 

Buschman, T. J., & Miller, E. K. (2007). Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science, 315(5820), 1860–1862.

CAS  PubMed  Google Scholar 

Cipriani, A., Furukawa, T. A., Salanti, G., Chaimani, A., Atkinson, L. Z., Ogawa, Y., et al. (2018). Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis. Lancet, 391, 1357–1366.

CAS  PubMed  PubMed Central  Google Scholar 

Durstewitz, D., Koppe, G., & Meyer-Lindenberg, A. (2018). Deep neural networks in psychiatry. Molecular Psychiatry, 24, 1583–1598.

Google Scholar 

Engel, A. K., & Fries, P. (2010). Beta-band oscillations—signalling the status quo? Current Opinion in Neurobiology, 20(2), 156–165.

CAS  PubMed  Google Scholar 

Fava, M., Freeman, M. P., Flynn, M., Judge, H., Hoeppner, B. B., Cusin, C., et al. (2020). Double-blind, placebo-controlled, dose-ranging trial of intravenous ketamine as adjunctive therapy in treatment-resistant depression (TRD). Molecular Psychiatry, 25, 1592–1603.

CAS  PubMed  Google Scholar 

Fodor, Z., Sirály, E., Horváth, A., et al. (2018). Decreased event-related beta synchronization during memory maintenance marks early cognitive decline in mild cognitive impairment. Journal of Alzheimer’s Disease, 63(2), 489–502. https://doi.org/10.3233/JAD-171079

Article  PubMed  Google Scholar 

Fournier, C. J., DeRubeis, J. R., Hollon, D. S., et al. (2010). Antidepressant Drug Effects and Depression Severity. Jama, 303, 47–53.

CAS  PubMed  PubMed Central  Google Scholar 

Friedman, N. P., & Robbins, T. W. (2022). The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology, 47, 72–89. https://doi.org/10.1038/s41386-021-01132-0

Article  PubMed  Google Scholar 

Furukawa, T. A., Cipriani, A., Atkinson, L. Z., Leucht, S., Ogawa, Y., Takeshima, N., et al. (2016). Placebo response rates in antidepressant trials: A systematic review of published and unpublished double-blind randomised controlled studies. Lancet Psychiatry, 3, 1059–1066.

PubMed  Google Scholar 

Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., et al. (2014). MNE software for processing MEG and EEG data. NeuroImage, 86, 446–460.

PubMed  Google Scholar 

Geers, A. L., Kosbab, K., Helfer, S. G., Weiland, P. E., & Wellman, J. A. (2007). Further evidence for individual differences in placebo responding: An interactionist perspective. Journal of Psychosomatic Research, 62, 563–570.

PubMed  Google Scholar 

Geers, A. L., Wellman, J. A., Fowler, S. L., Helfer, S. G., & France, C. R. (2010). Dispositional optimism predicts placebo analgesia. The Journal of Pain, 11, 1165–1171.

PubMed  PubMed Central  Google Scholar 

Ioffe, S., & Szegedy, C. (2015). Batch normalization: Accelerating deep network training by reducing internal covariate shift. Arxiv. https://doi.org/10.48550/arxiv.1502.03167

Article  Google Scholar 

Jobson, D. D., Hase, Y., Clarkson, A. N., & Kalaria, R. N. (2021). The role of the medial prefrontal cortex in cognition, ageing and dementia. Brain Communications, 3(3), fcab125. https://doi.org/10.1093/braincomms/fcab125

Article  PubMed  PubMed Central  Google Scholar 

Kang, H., Miksche, M. S., & Ellingsen, D. M. (2022). The association between personality traits and placebo effects: A preregistered systematic review and meta-analysis. Pain, 164(3), 494–508. https://doi.org/10.31234/osf.io/tc9e8

Article  PubMed  Google Scholar 

Koban, L., & Wager, T. D. (2016). Neural mediators of placebo effects in analgesia. Nature Reviews Neuroscience, 17(10), 560–572.

Google Scholar 

Korb, A. S., Hunter, A. M., Cook, I. A., & Leuchter, A. F. (2009). Rostral anterior cingulate cortex theta current density and response to antidepressants and placebo in major depression. Clinical Neurophysiology, 120, 1313–1319.

PubMed  PubMed Central  Google Scholar 

Kelley, J. M., Kaptchuk, T. J., Cusin, C., Lipkin, S., & Fava, M. (2012). Open-label placebo for major depressive disorder: A pilot randomized controlled trial. Psychotherapy and Psychosomatics, 81, 312–314.

PubMed  Google Scholar 

Kern, A., Kramm, C., Witt, C. M., & Barth, J. (2019). The influence of personality traits on the placebo/nocebo response A systematic review. Journal of Psychosomatic Research, 128, 109866.

PubMed  Google Scholar 

Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29(2–3), 169–195.

CAS  PubMed  Google Scholar 

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017). ImageNet classification with deep convolutional neural networks. Communications of the ACM, 60, 84–90.

Google Scholar 

Lasagna, L., Mosteller, F., von Felsinger, J. M., & Beecher, H. K. (1954). A study of the placebo response. American Journal of Medicine, 16, 770–779.

CAS  PubMed  Google Scholar 

Leuchter, A. F., Cook, I. A., Witte, E. A., Morgan, M., & Abrams, M. (2002). Changes in brain function of depressed subjects during treatment with placebo. American Journal of Psychiatry, 159, 122–129.

PubMed  Google Scholar 

Loshchilov, I., Hutter, F. (2017). Decoupled weight decay regularization. arXiv. https://doi.org/10.48550/arxiv.1711.05101.

McMillan, S. S., Wilson, B., Stapleton, H., & Wheeler, A. J. (2022). Young people’s experiences with mental health medication: A narrative review of the qualitative literature. Journal of Mental Health, 31, 281–295.

PubMed  Google Scholar 

Oakley, T., Coskuner, J., Cadwallader, A., Ravan, M., Hasey, G., & Ravan, M. (2023). EEG biomarkers to predict response to sertraline and placebo treatment in major depressive disorder. IEEE Transactions on Biomedical Engineering, 70, 909–919.

PubMed  Google Scholar 

Pizzagalli, D. A., Webb, C. A., Dillon, D. G., Tenke, C. E., Kayser, J., Goer, F., et al. (2018). Pretreatment rostral anterior cingulate cortex theta activity in relation to symptom improvement in depression: A randomized clinical trial. JAMA Psychiatry, 75, 547.

PubMed  PubMed Central  Google Scholar 

Rutherford, B. R., & Roose, S. P. (2013). A model of placebo response in antidepressant clinical trials. American Journal of Psychiatry, 170, 723–733.

PubMed  Google Scholar 

Rutherford, B. R., Wall, M. M., Brown, P. J., Choo, T.-H., Wager, T. D., Peterson, B. S., et al. (2017). Patient expectancy as a mediator of placebo effects in antidepressant clinical trials. American Journal of Psychiatry, 174, 135–142.

PubMed  Google Scholar 

Schmidt, R., Herrojo Ruiz, M., Kilavik, B. E., Lundqvist, M., Starr, P. A., & Aron, A. R. (2019). Beta oscillations in working memory, executive control of movement and thought, and sensorimotor function. Journal of Neuroscience, 39(42), 8231–8238. https://doi.org/10.1523/JNEUROSCI.1163-19.2019

Article  CAS  PubMed  Google Scholar 

Team C-BI, MacQueen, G. M., Hassel, S., Arnott, S. R., Addington, J., Bowie, C. R., et al. (2019). The Canadian Biomarker Integration Network in Depression (CAN-BIND): Magnetic resonance imaging protocols. J Psychiatry Neurosci, 44, 223–236.

Google Scholar 

Tétreault, P., Mansour, A., Vachon-Presseau, E., Schnitzer, T. J., Apkarian, A. V., & Baliki, M. N. (2016). Brain connectivity predicts placebo response across chronic pain clinical trials. PLoS Biology, 14, e1002570.

PubMed  PubMed Central  Google Scholar 

Trivedi, M. H., McGrath, P. J., Fava, M., Parsey, R. V., Kurian, B. T., Phillips, M. L., et al. (2016). Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design. Journal of Psychiatric Research, 78, 11–23.

PubMed  PubMed Central  Google Scholar 

Trivedi, M. H., South, C., Jha, M. K., Rush, A. J., Cao, J., Kurian, B., et al. (2018). A novel strategy to identify placebo responders: Prediction index of clinical and biological markers in the EMBARC trial. Psychotherapy and Psychosomatics, 87, 285–295.

PubMed  Google Scholar 

Vambheim, S. M., & Flaten, M. A. (2017). A systematic review of sex differences in the placebo and the nocebo effect. Journal of Pain Research, 10, 1831–1839.

CAS  PubMed  PubMed Central  Google Scholar 

Wager, T. D., & Atlas, L. Y. (2015). The neuroscience of placebo effects: Connecting context, learning and health. Nature Reviews Neuroscience, 16(7), 403–418.

CAS  PubMed  PubMed Central  Google Scholar 

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