[HTML][HTML] Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive …
E Ebrahimzadeh, F Fayaz, L Rajabion… - Frontiers in Systems …, 2023 - frontiersin.org
Predicting the therapeutic result of repetitive transcranial magnetic stimulation (rTMS)
treatment could save time and costs as ineffective treatment can be avoided. To this end, we …
treatment could save time and costs as ineffective treatment can be avoided. To this end, we …
Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal
Background Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation
(rTMS) treatment is an important purpose that eliminates financial and psychological …
(rTMS) treatment is an important purpose that eliminates financial and psychological …
Predicting clinical response to transcranial magnetic stimulation in major depression using time-frequency EEG signal processing
E Ebrahimzadeh, M Asgarinejad… - Biomedical …, 2021 - World Scientific
Repetitive transcranial magnetic stimulation (rTMS) is defined as a noninvasive technique of
brain stimulation conducted for both diagnostic and therapeutic purposes. rTMS can …
brain stimulation conducted for both diagnostic and therapeutic purposes. rTMS can …
Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained …
Abstract Repetitive Transcranial Magnetic Stimulation (rTMS) can be used as an effective
treatment for Major Depressive Disorder (MDD) especially when a patient does not respond …
treatment for Major Depressive Disorder (MDD) especially when a patient does not respond …
Attention-based convolutional recurrent deep neural networks for the prediction of response to repetitive transcranial magnetic stimulation for major depressive …
Repetitive Transcranial Magnetic Stimulation (rTMS) is proposed as an effective treatment
for major depressive disorder (MDD). However, because of the suboptimal treatment …
for major depressive disorder (MDD). However, because of the suboptimal treatment …
Machine learning approaches to predict repetitive transcranial magnetic stimulation treatment response in major depressive disorder
TT Erguzel, N Tarhan - Proceedings of SAI Intelligent Systems Conference …, 2018 - Springer
Repetitive transcranial magnetic stimulation (rTMS) is a non-pharmacological treatment that
is associated with significant improvements in clinical symptoms of major depressive …
is associated with significant improvements in clinical symptoms of major depressive …
[HTML][HTML] A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder
Prediction of response to Repetitive Transcranial Magnetic Stimulation (rTMS) can build a
very effective treatment platform that helps Major Depressive Disorder (MDD) patients to …
very effective treatment platform that helps Major Depressive Disorder (MDD) patients to …
[HTML][HTML] Neural network based response prediction of rTMS in major depressive disorder using QEEG cordance
Objective The combination of repetitive transcranial magnetic stimulation (rTMS), a non-
pharmacological form of therapy for treating major depressive disorder (MDD), and …
pharmacological form of therapy for treating major depressive disorder (MDD), and …
Resting EEG theta connectivity and alpha power to predict repetitive transcranial magnetic stimulation response in depression: A non-replication from the ICON-DB …
NW Bailey, N Krepel, H van Dijk, AF Leuchter… - Clinical …, 2021 - Elsevier
Objective Our previous research showed high predictive accuracy at differentiating
responders from non-responders to repetitive transcranial magnetic stimulation (rTMS) for …
responders from non-responders to repetitive transcranial magnetic stimulation (rTMS) for …
A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder
Objective The problem of identifying, in advance, the most effective treatment agent for
various psychiatric conditions remains an elusive goal. To address this challenge, we …
various psychiatric conditions remains an elusive goal. To address this challenge, we …