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 *

195 related articles for article (PubMed ID: 36370913)

  • 1. Suicide risk stratification among major depressed patients based on a machine learning approach and whole-brain functional connectivity.
    Chen S; Zhang X; Lin S; Zhang Y; Xu Z; Li Y; Xu M; Hou G; Qiu Y
    J Affect Disord; 2023 Feb; 322():173-179. PubMed ID: 36370913
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning.
    Xu M; Zhang X; Li Y; Chen S; Zhang Y; Zhou Z; Lin S; Dong T; Hou G; Qiu Y
    Transl Psychiatry; 2022 Sep; 12(1):383. PubMed ID: 36097160
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder.
    Wang Q; He C; Wang Z; Fan D; Zhang Z; Xie C;
    Transl Psychiatry; 2023 Nov; 13(1):365. PubMed ID: 38012129
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data.
    Dai P; Xiong T; Zhou X; Ou Y; Li Y; Kui X; Chen Z; Zou B; Li W; Huang Z; The Rest-Meta-Mdd Consortium
    Behav Brain Res; 2022 Oct; 435():114058. PubMed ID: 35995263
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Highlighting psychological pain avoidance and decision-making bias as key predictors of suicide attempt in major depressive disorder-A novel investigative approach using machine learning.
    Ji X; Zhao J; Fan L; Li H; Lin P; Zhang P; Fang S; Law S; Yao S; Wang X
    J Clin Psychol; 2022 Apr; 78(4):671-691. PubMed ID: 34542183
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach.
    Hong S; Liu YS; Cao B; Cao J; Ai M; Chen J; Greenshaw A; Kuang L
    J Affect Disord; 2021 Feb; 280(Pt A):72-76. PubMed ID: 33202340
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pain avoidance and functional connectivity between insula and amygdala identifies suicidal attempters in patients with major depressive disorder using machine learning.
    Hao Z; Li H; Ouyang L; Sun F; Wen X; Wang X
    Psychophysiology; 2023 Jan; 60(1):e14136. PubMed ID: 35767231
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Convolutional Neural Network-Based Deep Learning Model for Predicting Differential Suicidality in Depressive Patients Using Brain Generalized q-Sampling Imaging.
    Chen VC; Wong FT; Tsai YH; Cheok MT; Chang YE; McIntyre RS; Weng JC
    J Clin Psychiatry; 2021 Feb; 82(2):. PubMed ID: 33988925
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Disrupted fronto-parietal network and default-mode network gamma interactions distinguishing suicidal ideation and suicide attempt in depression.
    Dai Z; Shao J; Zhou H; Chen Z; Zhang S; Wang H; Jiang H; Yao Z; Lu Q
    Prog Neuropsychopharmacol Biol Psychiatry; 2022 Mar; 113():110475. PubMed ID: 34780814
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Characteristics of Intrinsic Brain Functional Connectivity Alterations in Major Depressive Disorder Patients With Suicide Behavior.
    Chen Z; Xia M; Zhao Y; Kuang W; Jia Z; Gong Q
    J Magn Reson Imaging; 2021 Dec; 54(6):1867-1875. PubMed ID: 34137101
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnosis of Major Depressive Disorder Using Machine Learning Based on Multisequence MRI Neuroimaging Features.
    Li Q; Dong F; Gai Q; Che K; Ma H; Zhao F; Chu T; Mao N; Wang P
    J Magn Reson Imaging; 2023 Nov; 58(5):1420-1430. PubMed ID: 36797655
    [TBL] [Abstract][Full Text] [Related]  

  • 12. EEG based functional connectivity in resting and emotional states may identify major depressive disorder using machine learning.
    Earl EH; Goyal M; Mishra S; Kannan B; Mishra A; Chowdhury N; Mishra P
    Clin Neurophysiol; 2024 Aug; 164():130-137. PubMed ID: 38870669
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A multimodal prediction model for suicidal attempter in major depressive disorder.
    Li Q; Liao K
    PeerJ; 2023; 11():e16362. PubMed ID: 37953785
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Aberrant integrity of the cortico-limbic-striatal circuit in major depressive disorder with suicidal ideation.
    Yang J; Palaniyappan L; Xi C; Cheng Y; Fan Z; Chen C; Zhang M; Pan Y; Tao H; Ouyang X; Yang J; Liu Z
    J Psychiatr Res; 2022 Apr; 148():277-285. PubMed ID: 35180634
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multivariate Machine Learning Analyses in Identification of Major Depressive Disorder Using Resting-State Functional Connectivity: A Multicentral Study.
    Shi Y; Zhang L; Wang Z; Lu X; Wang T; Zhou D; Zhang Z
    ACS Chem Neurosci; 2021 Aug; 12(15):2878-2886. PubMed ID: 34282889
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Resting-state functional connectivity of the anterior cingulate cortex in young adults depressed patients with and without suicidal behavior.
    Qiu H; Cao B; Cao J; Li X; Chen J; Wang W; Lv Z; Zhang S; Fang W; Ai M; Kuang L
    Behav Brain Res; 2020 Apr; 384():112544. PubMed ID: 32035184
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Alterations in functional brain networks in depressed patients with a suicide attempt history.
    Jung J; Choi S; Han KM; Kim A; Kang W; Paik JW; Lee HW; Ham BJ
    Neuropsychopharmacology; 2020 May; 45(6):964-974. PubMed ID: 31673097
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients.
    Liu X; He C; Fan D; Zang F; Zhu Y; Zhang H; Zhang Z; Zhang H; Xie C
    Transl Psychiatry; 2021 Apr; 11(1):243. PubMed ID: 33895787
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying suicide attempts, ideation, and non-ideation in major depressive disorder from structural MRI data using deep learning.
    Hu J; Huang Y; Zhang X; Liao B; Hou G; Xu Z; Dong S; Li P
    Asian J Psychiatr; 2023 Apr; 82():103511. PubMed ID: 36791609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combined static and dynamic functional connectivity signatures differentiating bipolar depression from major depressive disorder.
    Pang Y; Zhang H; Cui Q; Yang Q; Lu F; Chen H; He Z; Wang Y; Wang J; Chen H
    Aust N Z J Psychiatry; 2020 Aug; 54(8):832-842. PubMed ID: 32456443
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.