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A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder

Clinical neurophysiology, 2013-10, Vol.124 (10), p.1975-1985

2013

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A Review of Recent Literature Employing Electroencephalographic Techniques to Study the Pathophysiology, Phenomenology, and Treatment Response of Schizophrenia

Current psychiatry reports, 2013-09, Vol.15 (9), p.388-388, Article 388

2013

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Naturalistic Study on the Effects of Electroconvulsive Therapy (ECT) on Depressive Symptoms

Canadian journal of psychiatry, 2022-05, Vol.67 (5), p.351-360

2022

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A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy

Clinical neurophysiology, 2010-12, Vol.121 (12), p.1998-2006

2010

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Predictors of antidepressant response in clinical trials of transcranial magnetic stimulation

The international journal of neuropsychopharmacology, 2006-12, Vol.9 (6), p.641-654

2006

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EEG Biomarkers to Predict Response to Sertraline and Placebo Treatment in Major Depressive Disorder

IEEE transactions on biomedical engineering, 2023-03, Vol.70 (3), p.909-919

2023

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IEEE_Xplore

Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials

IEEE transactions on neural systems and rehabilitation engineering, 2019-07, Vol.27 (7), p.1449-1457

2019

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The long-term impact of treatment with electroconvulsive therapy on discrete memory systems in patients with bipolar disorder

Journal of psychiatry & neuroscience, 2007-07, Vol.32 (4), p.241-249

2007

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Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers

Journal of affective disorders, 2024-02, Vol.346, p.285-298

2024

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Detection of Suicidal Ideation in Depressed Subjects Using Resting Electroencephalography Features Identified by Machine Learning Algorithms

Biological psychiatry (1969), 2020-05, Vol.87 (9), p.S380-S381

2020

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Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.4936-4939

2018

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A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapy

Clinical neurophysiology, 2015-04, Vol.126 (4), p.721-730

2015

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Minimum Variance Brain Source Localization for Short Data Sequences

IEEE transactions on biomedical engineering, 2014-02, Vol.61 (2), p.535-546

2014

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IEEE_Xplore

Gabapentin as an adjunctive treatment in bipolar disorder

Journal of affective disorders, 1999-09, Vol.55 (1), p.73-77

1999

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Transcranial Magnetic Stimulation in the Treatment of Mood Disorder: A Review and Comparison with Electroconvulsive Therapy

Canadian journal of psychiatry, 2001-10, Vol.46 (8), p.720-727

Hasey, Gary

2001

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A machine learning approach to identification of self-harm and suicidal ideation among military and police Veterans

Journal of military, veteran and family health, 2022-02, Vol.8 (1), p.56-67

2022

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Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.6418-6421

2011

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IEEE_Xplore

Effects of electroconvulsive therapy on cognitive functioning in patients with depression: protocol for a systematic review and meta-analysis

BMJ open, 2015-03, Vol.5 (3), p.e006966-e006966

2015

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Repetitive transcranial magnetic stimulation for treatment of medication-resistant depression in older adults: a case series

The journal of ECT, 2009-03, Vol.25 (1), p.44

2009

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Comorbidity of obsessive compulsive disorder in bipolar disorder

Journal of affective disorders, 1995-05, Vol.34 (2), p.117-120

1995

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A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.1, p.I-393-I-396

2007

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IEEE_Xplore

Temporally constrained SCA with applications to EEG data

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4138-4141

2010

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IEEE_Xplore

The Effects of Pulse Configuration on Magnetic Stimulation

Journal of clinical neurophysiology, 2003-09, Vol.20 (5), p.361-370

2003

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Diagnosis of psychiatric disorders using EEG data and employing a statistical decision model

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.4006-4009

2010

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IEEE_Xplore

Transcranial magnetic stimulation: using a law of physics to treat psychopathology

Journal of psychiatry & neuroscience, 1999-03, Vol.24 (2), p.97-101

Hasey, G M

1999

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A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder

A Review of Recent Literature Employing Electroencephalographic Techniques to Study the Pathophysiology, Phenomenology, and Treatment Response of Schizophrenia

Naturalistic Study on the Effects of Electroconvulsive Therapy (ECT) on Depressive Symptoms

A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy

Predictors of antidepressant response in clinical trials of transcranial magnetic stimulation

EEG Biomarkers to Predict Response to Sertraline and Placebo Treatment in Major Depressive Disorder

Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials

The long-term impact of treatment with electroconvulsive therapy on discrete memory systems in patients with bipolar disorder

Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers

Detection of Suicidal Ideation in Depressed Subjects Using Resting Electroencephalography Features Identified by Machine Learning Algorithms

Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation

A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapy

Minimum Variance Brain Source Localization for Short Data Sequences

Gabapentin as an adjunctive treatment in bipolar disorder

Transcranial Magnetic Stimulation in the Treatment of Mood Disorder: A Review and Comparison with Electroconvulsive Therapy

A machine learning approach to identification of self-harm and suicidal ideation among military and police Veterans

Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression

Effects of electroconvulsive therapy on cognitive functioning in patients with depression: protocol for a systematic review and meta-analysis

Repetitive transcranial magnetic stimulation for treatment of medication-resistant depression in older adults: a case series

Comorbidity of obsessive compulsive disorder in bipolar disorder

A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data

Temporally constrained SCA with applications to EEG data

The Effects of Pulse Configuration on Magnetic Stimulation

Diagnosis of psychiatric disorders using EEG data and employing a statistical decision model

Transcranial magnetic stimulation: using a law of physics to treat psychopathology

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