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For: Safayari A, Bolhasani H. Depression diagnosis by deep learning using EEG signals: A systematic review. Medicine in Novel Technology and Devices 2021. [DOI: 10.1016/j.medntd.2021.100102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]  Open
Number Cited by Other Article(s)
1
Suzuki K, Laohakangvalvit T, Sugaya M. Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device. Brain Sci 2024;14:1107. [PMID: 39595870 PMCID: PMC11591631 DOI: 10.3390/brainsci14111107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 10/24/2024] [Accepted: 10/25/2024] [Indexed: 11/28/2024]  Open
2
Sarisik E, Popovic D, Keeser D, Khuntia A, Schiltz K, Falkai P, Pogarell O, Koutsouleris N. EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation. Schizophr Bull 2024:sbae150. [PMID: 39248267 DOI: 10.1093/schbul/sbae150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
3
Metin SZ, Uyulan Ç, Farhad S, Ergüzel TT, Türk Ö, Metin B, Çerezci Ö, Tarhan N. Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy. Clin EEG Neurosci 2024:15500594241273181. [PMID: 39251228 DOI: 10.1177/15500594241273181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
4
Mirjebreili SM, Shalbaf R, Shalbaf A. Prediction of treatment response in major depressive disorder using a hybrid of convolutional recurrent deep neural networks and effective connectivity based on EEG signal. Phys Eng Sci Med 2024;47:633-642. [PMID: 38358619 DOI: 10.1007/s13246-024-01392-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 01/11/2024] [Indexed: 02/16/2024]
5
Tigga NP, Garg S. Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals. Health Inf Sci Syst 2023;11:1. [PMID: 36590874 PMCID: PMC9800680 DOI: 10.1007/s13755-022-00205-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 12/13/2022] [Indexed: 12/30/2022]  Open
6
Morita M, Otsu R, Kawasaki M. Brainwave activities reflecting depressed mood: a pilot study. Sci Rep 2023;13:14036. [PMID: 37666858 PMCID: PMC10477265 DOI: 10.1038/s41598-023-40582-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/13/2023] [Indexed: 09/06/2023]  Open
7
Chakraborty A, Mitra S, Bhattacharjee M, De D, Pal AJ. Determining human-coronavirus protein-protein interaction using machine intelligence. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2023;18:100228. [PMID: 37056696 PMCID: PMC10077817 DOI: 10.1016/j.medntd.2023.100228] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 03/29/2023] [Accepted: 04/01/2023] [Indexed: 04/08/2023]  Open
8
Ksibi A, Zakariah M, Menzli LJ, Saidani O, Almuqren L, Hanafieh RAM. Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques. Diagnostics (Basel) 2023;13:1779. [PMID: 37238263 PMCID: PMC10217709 DOI: 10.3390/diagnostics13101779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 04/28/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023]  Open
9
Yang L, Wei X, Liu F, Zhu X, Zhou F. Automatic feature learning model combining functional connectivity network and graph regularization for depression detection. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
10
Mattiev J, Sajovic J, Drevenšek G, Rogelj P. Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods. BIOENGINEERING (BASEL, SWITZERLAND) 2022;10:bioengineering10010042. [PMID: 36671614 PMCID: PMC9854523 DOI: 10.3390/bioengineering10010042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/21/2022] [Accepted: 12/25/2022] [Indexed: 12/31/2022]
11
Margarette Sanchez M, Borden L, Alam N, Noroozi A, Ravan M, Flor-Henry P, Hasey G. A Machine Learning Algorithm to Discriminating Between Bipolar and Major Depressive Disorders Based on Resting EEG Data. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022;2022:2635-2638. [PMID: 36085796 DOI: 10.1109/embc48229.2022.9871453] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
12
Kato R, Balasubramani PP, Ramanathan D, Mishra J. Utility of Cognitive Neural Features for Predicting Mental Health Behaviors. SENSORS (BASEL, SWITZERLAND) 2022;22:3116. [PMID: 35590804 PMCID: PMC9100783 DOI: 10.3390/s22093116] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/15/2022] [Accepted: 04/16/2022] [Indexed: 06/15/2023]
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