Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis
D Watts, RF Pulice, J Reilly, AR Brunoni… - Translational …, 2022 - nature.com
Selecting a course of treatment in psychiatry remains a trial-and-error process, and this long-
standing clinical challenge has prompted an increased focus on predictive models of …
standing clinical challenge has prompted an increased focus on predictive models of …
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 …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
The effects of non-invasive brain stimulation on sleep disturbances among different neurological and neuropsychiatric conditions: a systematic review
AH Babiloni, A Bellemare, G Beetz, SA Vinet… - Sleep medicine …, 2021 - Elsevier
Sleep disturbances (eg, difficulty to initiate or maintain sleep) and poor sleep quality are
major health concerns that accompany several neurological and neuropsychiatric clinical …
major health concerns that accompany several neurological and neuropsychiatric clinical …
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 …
Alterations in EEG functional connectivity in individuals with depression: A systematic review
The brain works as an organised, network-like structure of functionally interconnected
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
Conducting double-blind placebo-controlled clinical trials of transcranial alternating current stimulation (tACS)
F Frohlich, J Riddle - Translational Psychiatry, 2021 - nature.com
Many psychiatric and neurological illnesses can be conceptualized as oscillopathies
defined as pathological changes in brain network oscillations. We previously proposed the …
defined as pathological changes in brain network oscillations. We previously proposed the …
[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 …
[HTML][HTML] Leveraging machine learning approaches for predicting antidepressant treatment response using electroencephalography (EEG) and clinical data
Background: Individuals with major depressive disorder (MDD) vary in their response to
antidepressants. However, identifying objective biomarkers, prior to or early in the course of …
antidepressants. However, identifying objective biomarkers, prior to or early in the course of …
An update on the clinical use of repetitive transcranial magnetic stimulation in the treatment of depression
PB Fitzgerald - Journal of Affective Disorders, 2020 - Elsevier
Background Repetitive transcranial magnetic stimulation (rTMS) is an increasingly used
treatment for patients with depression. The use of rTMS in depression is supported by over …
treatment for patients with depression. The use of rTMS in depression is supported by over …