These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

275 related articles for article (PubMed ID: 30692945)

  • 21. Cordance derived from REM sleep EEG as a biomarker for treatment response in depression--a naturalistic study after antidepressant medication.
    Adamczyk M; Gazea M; Wollweber B; Holsboer F; Dresler M; Steiger A; Pawlowski M
    J Psychiatr Res; 2015 Apr; 63():97-104. PubMed ID: 25772006
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework.
    Lin E; Kuo PH; Liu YL; Yu YW; Yang AC; Tsai SJ
    Pharmaceuticals (Basel); 2020 Oct; 13(10):. PubMed ID: 33065962
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Response to Pharmacological Treatment in Major Depression Predicted by Electroencephalographic Alpha Power - a Pilot Naturalistic Study.
    Kandilarova SS; Terziyski KV; Draganova AI; Stoyanov DS; Akabaliev VH; Kostianev SS
    Folia Med (Plovdiv); 2017 Sep; 59(3):318-325. PubMed ID: 28976896
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals.
    Duan L; Duan H; Qiao Y; Sha S; Qi S; Zhang X; Huang J; Huang X; Wang C
    Front Hum Neurosci; 2020; 14():284. PubMed ID: 33173472
    [TBL] [Abstract][Full Text] [Related]  

  • 25. QEEG Theta Cordance in the Prediction of Treatment Outcome to Prefrontal Repetitive Transcranial Magnetic Stimulation or Venlafaxine ER in Patients With Major Depressive Disorder.
    Bares M; Brunovsky M; Novak T; Kopecek M; Stopkova P; Sos P; Höschl C
    Clin EEG Neurosci; 2015 Apr; 46(2):73-80. PubMed ID: 24711613
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Resting-state EEG delta and alpha power predict response to cognitive behavioral therapy in depression: a Canadian biomarker integration network for depression study.
    Schwartzmann B; Quilty LC; Dhami P; Uher R; Allen TA; Kloiber S; Lam RW; Frey BN; Milev R; Müller DJ; Soares CN; Foster JA; Rotzinger S; Kennedy SH; Farzan F
    Sci Rep; 2023 May; 13(1):8418. PubMed ID: 37225718
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.
    Mahato S; Paul S
    J Med Syst; 2019 Dec; 44(1):28. PubMed ID: 31834531
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
    Ieracitano C; Mammone N; Hussain A; Morabito FC
    Neural Netw; 2020 Mar; 123():176-190. PubMed ID: 31884180
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Multi-omic modeling of antidepressant response implicates dynamic immune and inflammatory changes in individuals who respond to treatment.
    Fuh SC; Fiori LM; Turecki G; Nagy C; Li Y
    PLoS One; 2023; 18(5):e0285123. PubMed ID: 37186582
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Non-linear EEG analyses predict non-response to rTMS treatment in major depressive disorder.
    Arns M; Cerquera A; Gutiérrez RM; Hasselman F; Freund JA
    Clin Neurophysiol; 2014 Jul; 125(7):1392-9. PubMed ID: 24360132
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers.
    Lin E; Kuo PH; Liu YL; Yu YW; Yang AC; Tsai SJ
    Front Psychiatry; 2018; 9():290. PubMed ID: 30034349
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.
    Ding X; Yue X; Zheng R; Bi C; Li D; Yao G
    J Affect Disord; 2019 May; 251():156-161. PubMed ID: 30925266
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Electroconvulsive Therapy Modulates Resting-State EEG Oscillatory Pattern and Phase Synchronization in Nodes of the Default Mode Network in Patients With Depressive Disorder.
    Takamiya A; Hirano J; Yamagata B; Takei S; Kishimoto T; Mimura M
    Front Hum Neurosci; 2019; 13():1. PubMed ID: 30774588
    [No Abstract]   [Full Text] [Related]  

  • 34. Baseline Serum Levels of Beclin-1, but Not Inflammatory Factors, May Predict Antidepressant Treatment Response in Chinese Han Patients With MDD: A Preliminary Study.
    He S; Zeng D; Xu F; Zhang J; Zhao N; Wang Q; Shi J; Lin Z; Yu W; Li H
    Front Psychiatry; 2019; 10():378. PubMed ID: 31244689
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Data mining EEG signals in depression for their diagnostic value.
    Mohammadi M; Al-Azab F; Raahemi B; Richards G; Jaworska N; Smith D; de la Salle S; Blier P; Knott V
    BMC Med Inform Decis Mak; 2015 Dec; 15():108. PubMed ID: 26699540
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Lisdexamfetamine dimesylate augmentation for adults with major depressive disorder and inadequate response to antidepressant monotherapy: Results from 2 phase 3, multicenter, randomized, double-blind, placebo-controlled studies.
    Richards C; McIntyre RS; Weisler R; Sambunaris A; Brawman-Mintzer O; Gao J; Geibel B; Dauphin M; Madhoo M
    J Affect Disord; 2016 Dec; 206():151-160. PubMed ID: 27474961
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automated Source Estimation of Scalp EEG Epileptic Activity Using eLORETA Kurtosis Analysis.
    Ikeda S; Ishii R; Pascual-Marqui RD; Canuet L; Yoshimura M; Nishida K; Kitaura Y; Katsura K; Kinoshita T
    Neuropsychobiology; 2019; 77(2):101-109. PubMed ID: 30625490
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Electroencephalographic Network Topologies Predict Antidepressant Responses in Patients With Major Depressive Disorder.
    Peng Y; Huang Y; Chen B; He M; Jiang L; Li Y; Huang X; Pei C; Zhang S; Li C; Zhang X; Zhang T; Zheng Y; Yao D; Li F; Xu P
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2577-2588. PubMed ID: 36044502
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A polygenic-informed approach to a predictive EEG signature empowers antidepressant treatment prediction: A proof-of-concept study.
    Meijs H; Prentice A; Lin BD; De Wilde B; Van Hecke J; Niemegeers P; van Eijk K; Luykx JJ; Arns M
    Eur Neuropsychopharmacol; 2022 Sep; 62():49-60. PubMed ID: 35896057
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Change in Quantitative EEG Theta Cordance as a Potential Predictor of Repetitive Transcranial Magnetic Stimulation Clinical Outcome in Major Depressive Disorder.
    Hunter AM; Nghiem TX; Cook IA; Krantz DE; Minzenberg MJ; Leuchter AF
    Clin EEG Neurosci; 2018 Sep; 49(5):306-315. PubMed ID: 29224411
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.