Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
Turker Tekin Erguzel, Serhat Ozekes, Selahattin Gultekin, Nevzat Tarhan, Gokben Hizli Sayar, Ali Bayram
Psychiatry Investig. 2015;12(1):61-65.   Published online 2015 Jan 12     DOI: https://doi.org/10.4306/pi.2015.12.1.61
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Debby Klooster, Helena Voetterl, Chris Baeken, Martijn Arns
Biological Psychiatry.2024; 95(6): 553.     CrossRef
Electroencephalography for predicting antidepressant treatment success: A systematic review and meta-analysis
S.E. Cohen, J.B. Zantvoord, B.N. Wezenberg, J.G. Daams, C.L.H. Bockting, D. Denys, G.A. van Wingen
Journal of Affective Disorders.2023; 321: 201.     CrossRef
Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal
Mohsen Sadat Shahabi, Ahmad Shalbaf, Reza Rostami
Cognitive Neurodynamics.2023; 17(4): 909.     CrossRef
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder
Mohsen Sadat Shahabi, Ahmad Shalbaf, Behrooz Nobakhsh, Reza Rostami, Reza Kazemi
International Journal of Neural Systems.2023;[Epub]     CrossRef
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review
Sana Yasin, Alice Othmani, Imran Raza, Syed Asad Hussain
Computers in Biology and Medicine.2023; 159: 106741.     CrossRef
Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models
Mohsen Sadat Shahabi, Behrooz Nobakhsh, Ahmad Shalbaf, Reza Rostami, Reza Kazemi
Biomedical Signal Processing and Control.2023; 85: 104822.     CrossRef
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U Rajendra Acharya, Yuefeng Li
Brain Informatics.2023;[Epub]     CrossRef
A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder
Mohsen Sadat Shahabi, Ahmad Shalbaf, Reza Rostami, Reza Kazemi
Scientific Reports.2023;[Epub]     CrossRef
Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, Yuefeng Li, U. Rajendra Acharya
Computer Methods and Programs in Biomedicine.2023; 242: 107771.     CrossRef
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Mohammad Nami, Robert Thatcher, Nasser Kashou, Dahabada Lopes, Maria Lobo, Joe F. Bolanos, Kevin Morris, Melody Sadri, Teshia Bustos, Gilberto E. Sanchez, Alena Mohd-Yusof, John Fiallos, Justin Dye, Xiaofan Guo, Nicholas Peatfield, Milena Asiryan, Alero M
Journal of Alzheimer's Disease.2022; 86(1): 21.     CrossRef
A polygenic-informed approach to a predictive EEG signature empowers antidepressant treatment prediction: A proof-of-concept study
Hannah Meijs, Amourie Prentice, Bochao D. Lin, Bieke De Wilde, Jan Van Hecke, Peter Niemegeers, Kristel van Eijk, Jurjen J. Luykx, Martijn Arns
European Neuropsychopharmacology.2022; 62: 49.     CrossRef
Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis
Devon Watts, Rafaela Fernandes Pulice, Jim Reilly, Andre R. Brunoni, Flávio Kapczinski, Ives Cavalcante Passos
Translational Psychiatry.2022;[Epub]     CrossRef
Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review
Povilas Karvelis, Colleen E. Charlton, Shona G. Allohverdi, Peter Bedford, Daniel J. Hauke, Andreea O. Diaconescu
Network Neuroscience.2022; 6(4): 1066.     CrossRef
Coverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled people
Aspen Lillywhite, Gregor Wolbring
Assistive Technology.2021; 33(3): 129.     CrossRef
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Gonzalo Salazar de Pablo, Erich Studerus, Julio Vaquerizo-Serrano, Jessica Irving, Ana Catalan, Dominic Oliver, Helen Baldwin, Andrea Danese, Seena Fazel, Ewout W Steyerberg, Daniel Stahl, Paolo Fusar-Poli
Schizophrenia Bulletin.2021; 47(2): 284.     CrossRef
Deep learning for the prediction of treatment response in depression
Letizia Squarcina, Filippo Maria Villa, Maria Nobile, Enrico Grisan, Paolo Brambilla
Journal of Affective Disorders.2021; 281: 618.     CrossRef
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review
Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza, Muhammad Muzammel, Alice Othmani
Computer Methods and Programs in Biomedicine.2021; 202: 106007.     CrossRef
Personalization of Repetitive Transcranial Magnetic Stimulation for the Treatment of Major Depressive Disorder According to the Existing Psychiatric Comorbidity
Po-Han Chou, Yen-Feng Lin, Ming-Kuei Lu, Hsin-An Chang, Che-Sheng Chu, Wei Hung Chang, Taishiro Kishimoto, Alexander T. Sack, Kuan-Pin Su
Clinical Psychopharmacology and Neuroscience.2021; 19(2): 190.     CrossRef
The promise of machine learning in predicting treatment outcomes in psychiatry
Adam M. Chekroud, Julia Bondar, Jaime Delgadillo, Gavin Doherty, Akash Wasil, Marjolein Fokkema, Zachary Cohen, Danielle Belgrave, Robert DeRubeis, Raquel Iniesta, Dominic Dwyer, Karmel Choi
World Psychiatry.2021; 20(2): 154.     CrossRef
Psikiyatride Makine Öğrenmesi Yöntemlerinin Kullanımı
İlkim Ecem EMRE, Cumhur TAŞ, Çiğdem EROL
Psikiyatride Güncel Yaklaşımlar.2021; 13(2): 332.     CrossRef
Investigating EEG biomarkers of clinical response to low frequency rTMS in depression
Helena Voetterl, Jean-Philippe Miron, Farrokh Mansouri, Linsay Fox, Molly Hyde, Daniel M. Blumberger, Zafiris J. Daskalakis, Fidel Vila-Rodriguez, Alexander T. Sack, Jonathan Downar
Journal of Affective Disorders Reports.2021; 6: 100250.     CrossRef
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Sinem Zeynep Metin, Tugçe Balli Altuglu, Baris Metin, Turker Tekin Erguzel, Selin Yigit, Mehmet Kemal Arıkan, Kasif Nevzat Tarhan
Clinical EEG and Neuroscience.2020; 51(3): 139.     CrossRef
The Changes of qEEG Approximate Entropy during Test of Variables of Attention as a Predictor of Major Depressive Disorder
Shao-Tsu Chen, Li-Chi Ku, Shaw-Ji Chen, Tsu-Wang Shen
Brain Sciences.2020; 10(11): 828.     CrossRef
Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases
Emine Elif Tulay, Barış Metin, Nevzat Tarhan, Mehmet Kemal Arıkan
Clinical EEG and Neuroscience.2019; 50(1): 20.     CrossRef
Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study
Amin Zandvakili, Noah S. Philip, Stephanie R. Jones, Audrey R. Tyrka, Benjamin D. Greenberg, Linda L. Carpenter
Journal of Affective Disorders.2019; 252: 47.     CrossRef
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Karim Mithani, Ying Meng, Agessandro Abrahao, Mirriam Mikhail, Clement Hamani, Peter Giacobbe, Nir Lipsman
Stereotactic and Functional Neurosurgery.2019; 97(3): 141.     CrossRef
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Kfir Feffer, Hyewon Helen Lee, Farrokh Mansouri, Peter Giacobbe, Fidel Vila-Rodriguez, Sidney H. Kennedy, Zafiris J. Daskalakis, Daniel M. Blumberger, Jonathan Downar
Brain Stimulation.2018; 11(1): 181.     CrossRef
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Ronald J. Janssen, Janaina Mourão-Miranda, Hugo G. Schnack
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.2018; 3(9): 798.     CrossRef
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Sarah L. Garnaat, Shiwen Yuan, Haizhi Wang, Noah S. Philip, Linda L. Carpenter
Psychiatric Clinics of North America.2018; 41(3): 419.     CrossRef
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Reza Shalbaf, Colleen Brenner, Christopher Pang, Daniel M. Blumberger, Jonathan Downar, Zafiris J. Daskalakis, Joseph Tham, Raymond W. Lam, Faranak Farzan, Fidel Vila-Rodriguez
Frontiers in Pharmacology.2018;[Epub]     CrossRef
Predictors of response to repetitive transcranial magnetic stimulation (rTMS) in the treatment of major depressive disorder
G. Beuzon, Q. Timour, M. Saoud
L'Encéphale.2017; 43(1): 3.     CrossRef
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Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.2016; 1(5): 411.     CrossRef
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