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Predicting Symptomatic and Functional Improvements over 1 Year in Patients with First-Episode Psychosis Using Resting-State Electroencephalography
Rinvil Renaldi, Minah Kim, Tak Hyung Lee, Yoo Bin Kwak, Andi J. Tanra, Jun Soo Kwon
Psychiatry Investig. 2019;16(9):695-703. Published online 2019 Aug 21 DOI: https://doi.org/10.30773/pi.2019.06.20.1
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In perspective of specific symptoms of major depressive disorder: Functional connectivity analysis of electroencephalography and potential biomarkers of treatment response
Chao-Chung Ho, Syu-Jyun Peng, Yu-Hsiang Yu, Yeong-Ruey Chu, Shiau-Shian Huang, Po-Hsiu Kuo
Journal of Affective Disorders.2024; 367: 944. CrossRef Resting-state electroencephalogram in drug-free subjects with at-risk mental states who later developed psychosis: a low-resolution electromagnetic tomography analysis
Yuko Higuchi, Shizuka Odagiri, Takahiro Tateno, Michio Suzuki, Tsutomu Takahashi
Frontiers in Human Neuroscience.2024;[Epub] CrossRef Forecasting prognostic trajectories with mismatch negativity in early psychosis
Minah Kim, Taekwan Kim, Wu Jeong Hwang, Silvia Kyungjin Lho, Sun-Young Moon, Tae Young Lee, Jun Soo Kwon
Psychological Medicine.2023; 53(4): 1489. CrossRef Classification of First-Episode Psychosis with EEG Signals: ciSSA and Machine Learning Approach
Şerife Gengeç Benli
Biomedicines.2023; 11(12): 3223. CrossRef Pharmaco-EEG of antipsychotic treatment response: a systematic review
Marco De Pieri, Vincent Rochas, Michel Sabe, Cristoph Michel, Stefan Kaiser
Schizophrenia.2023;[Epub] CrossRef High-frequency changes in single-trial visual evoked potentials for unattended stimuli in chronic schizophrenia
Lech Kipiński, Andrzej Maciejowski, Krzysztof Małyszczak, Witold Pilecki
Journal of Neuroscience Methods.2022; 377: 109626. CrossRef EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
Andrea Perrottelli, Giulia Maria Giordano, Francesco Brando, Luigi Giuliani, Armida Mucci
Frontiers in Psychiatry.2021;[Epub] CrossRef Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression
Pranav Rajpurkar, Jingbo Yang, Nathan Dass, Vinjai Vale, Arielle S. Keller, Jeremy Irvin, Zachary Taylor, Sanjay Basu, Andrew Ng, Leanne M. Williams
JAMA Network Open.2020; 3(6): e206653. CrossRef
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