Models for the Quantitative Prediction of Therapeutic Responses Based on the Baseline EEG Parameters in Depressive Patients
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To determine the possibility for individualized quantitative prediction of therapeutic responses in depressive patients from the baseline EEG parameters, we conducted a correlational analysis of relationships between the baseline EEG spectral power values (80 variations in total) recorded in 42 depressive patients before the start of the therapeutic course and clinical quantitative assessments of the post-treatment mental conditions of these patients. Based on these data, regression models were built for individualized quantitative prediction of therapeutic response, including no more than three pre-treatment EEG parameters and describing up to 75% of the variance in clinical post-treatment assessment values. On the one hand, our results confirm the possibility of designing fairly accurate mathematical models for the individualized quantitative prediction of therapeutic responses in depressive patients by a small number of baseline neurophysiological parameters. On the other hand, the employed mathematical approaches make it possible to clarify the neurophysiological mechanisms underlying depressive disorders.
Keywords:depression therapy EEG mathematical models therapeutic response prediction
The study was supported by the Russian Foundation for Basic Research (grant no. 18-01-00029а).
COMPLIANCE WITH ETHICAL STANDARDS
Conflict of interest. The authors declare that they have no obvious or potential conflict of interest related to the publication of this article.
Statement of compliance with standards of research involving humans as subjects. All investigations were conducted in the correspondence with the principles of biomedical ethics stipulated under the Helsinki Declaration 1964 and its subsequent amendments and approved by the local bioethics committee of the Mental Health Research Center (Moscow, Russia). Each participant of the study gave his/her voluntary informed consent in writing, signed by him/her after the information about potential risks and advantages, as well as about the character of the planned study.
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