[HTML][HTML] Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …
in recent years. These developments can largely be attributed to the emergence of new …
[HTML][HTML] Evaluating robustness of brain stimulation biomarkers for depression: a systematic review of MRI and EEG studies
Non-invasive brain stimulation (NIBS) treatments have gained considerable attention as a
potential therapeutic intervention for psychiatric disorders. The identification of reliable …
potential therapeutic intervention for psychiatric disorders. The identification of reliable …
Electroencephalographic biomarkers for treatment response prediction in major depressive illness: a meta-analysis
AS Widge, MT Bilge, R Montana… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: Reducing unsuccessful treatment trials could improve depression treatment.
Quantitative EEG (QEEG) may predict treatment response and is being commercially …
Quantitative EEG (QEEG) may predict treatment response and is being commercially …
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 …
[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 …
Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: a resting …
Background Repetitive transcranial magnetic stimulation (TMS) is clinically effective for
major depressive disorder (MDD) and investigational for other conditions including …
major depressive disorder (MDD) and investigational for other conditions including …
Differentiating responders and non-responders to rTMS treatment for depression after one week using resting EEG connectivity measures
Background Non-response to repetitive transcranial magnetic stimulation (rTMS) treatment
for depression is costly for both patients and clinics. Simple and cheap methods to predict …
for depression is costly for both patients and clinics. Simple and cheap methods to predict …
Neurophysiological and neuroimaging markers of repetitive transcranial stimulation treatment response in major depressive disorder: a systematic review and meta …
MX Jin, PP Qin, AWL Xia, RL Di Kan, BBB Zhang… - Neuroscience & …, 2024 - Elsevier
Predicting repetitive transcranial magnetic stimulation (rTMS) treatment outcomes in major
depressive disorder (MDD) could reduce the financial and psychological risks of treatment …
depressive disorder (MDD) could reduce the financial and psychological risks of treatment …
[HTML][HTML] A review of critical brain oscillations in depression and the efficacy of transcranial magnetic stimulation treatment
Repetitive transcranial magnetic stimulation (rTMS) and intermittent theta burst stimulation
(iTBS) have been proven effective non-invasive treatments for patients with drug-resistant …
(iTBS) have been proven effective non-invasive treatments for patients with drug-resistant …
Brainwaves oscillations as a potential biomarker for major depression disorder risk
P Fernández-Palleiro… - Clinical EEG and …, 2020 - journals.sagepub.com
Major depressive disorder (MDD) is a multidimensional disorder that is characterized by the
presence of alterations in mood, cognitive capacity, sensorimotor, and homeostatic …
presence of alterations in mood, cognitive capacity, sensorimotor, and homeostatic …