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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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Evaluating Robustness of Brain Stimulation Biomarkers for Depression: A Systematic Review of Magnetic Resonance Imaging and Electroencephalography Studies
Debby Klooster, Helena Voetterl, Chris Baeken, Martijn Arns
Biological Psychiatry.2024; 95(6): 553. CrossRef Neurophysiological and neuroimaging markers of repetitive transcranial magnetic stimulation treatment response in major depressive disorder: A systematic review and meta-analysis of predictive modeling studies
Min Xia Jin, Penny Ping Qin, Adam Wei Li Xia, Rebecca Lai Di Kan, Bella Bing Bing Zhang, Alvin Hong Pui Tang, Ami Sin Man Li, Tim Tian Ze Lin, Cristian G. Giron, Jun Jie Pei, Georg S. Kranz
Neuroscience & Biobehavioral Reviews.2024; 162: 105695. CrossRef How to Solve Clinical Challenges in Mood Disorders; Machine Learning Approaches Using Electrophysiological Markers
Young Wook Song, Ho Sung Lee, Sungkean Kim, Kibum Kim, Bin-Na Kim, Ji Sun Kim
Clinical Psychopharmacology and Neuroscience.2024; 22(3): 416. CrossRef Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients
Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami
Biomedical Signal Processing and Control.2024; 96: 106613. CrossRef Prolonged Disease Course Leads to Impaired Brain Function in Anxiety Disorder: A Resting State EEG Study
Shaoqi Mou, Shiyu Yan, Shanhong Shen, Yibin Shuai, Gang Li, Zhongxia Shen, Ping Shen
Neuropsychiatric Disease and Treatment.2024; Volume 20: 1409. CrossRef The effect of repetitive transcranial magnetic stimulation on the Hamilton Depression Rating Scale-17 criterion in patients with major depressive disorder without psychotic features: a systematic review and meta-analysis of intervention studies
Elham Hassanzadeh, Ghobad Moradi, Modabber Arasteh, Yousef Moradi
BMC Psychology.2024;[Epub] 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 A Proposed Brain-, Spine-, and Mental- Health Screening Methodology (NEUROSCREEN) for Healthcare Systems: Position of the Society for Brain Mapping and Therapeutics
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 Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice
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 Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder
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 Electroencephalography in Psychiatric Surgery: Past Use and Future Directions
Karim Mithani, Ying Meng, Agessandro Abrahao, Mirriam Mikhail, Clement Hamani, Peter Giacobbe, Nir Lipsman
Stereotactic and Functional Neurosurgery.2019; 97(3): 141. CrossRef Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis
Alik S. Widge, M. Taha Bilge, Rebecca Montana, Weilynn Chang, Carolyn I. Rodriguez, Thilo Deckersbach, Linda L. Carpenter, Ned H. Kalin, Charles B. Nemeroff
American Journal of Psychiatry.2019; 176(1): 44. CrossRef Early symptom improvement at 10 sessions as a predictor of rTMS treatment outcome in major depression
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 Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning
Ronald J. Janssen, Janaina Mourão-Miranda, Hugo G. Schnack
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.2018; 3(9): 798. CrossRef Updates on Transcranial Magnetic Stimulation Therapy for Major Depressive Disorder
Sarah L. Garnaat, Shiwen Yuan, Haizhi Wang, Noah S. Philip, Linda L. Carpenter
Psychiatric Clinics of North America.2018; 41(3): 419. CrossRef Non-linear Entropy Analysis in EEG to Predict Treatment Response to Repetitive Transcranial Magnetic Stimulation in Depression
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 Using Electroencephalography for Treatment Guidance in Major Depressive Disorder
Elizabeth Stade, Dan V. Iosifescu
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.2016; 1(5): 411. CrossRef NEUROBIOLOGICAL PREDICTORS OF RESPONSE TO DORSOLATERAL PREFRONTAL CORTEX REPETITIVE TRANSCRANIAL MAGNETIC STIMULATION IN DEPRESSION: A SYSTEMATIC REVIEW
William K. Silverstein, Yoshihiro Noda, Mera S. Barr, Fidel Vila-Rodriguez, Tarek K. Rajji, Paul B. Fitzgerald, Jonathan Downar, Benoit H. Mulsant, Simone Vigod, Zafiris J. Daskalakis, Daniel M. Blumberger
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