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 *

138 related articles for article (PubMed ID: 38379973)

  • 1. A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning.
    Sanchis J; García-Ponsoda S; Teruel MA; Trujillo J; Song IY
    Heliyon; 2024 Feb; 10(4):e26028. PubMed ID: 38379973
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals.
    Khare SK; Acharya UR
    Comput Biol Med; 2023 Mar; 155():106676. PubMed ID: 36827785
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ADHD-AID: Aiding Tool for Detecting Children's Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection.
    Attallah O
    Biomimetics (Basel); 2024 Mar; 9(3):. PubMed ID: 38534873
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative analysis of electroencephalogram (EEG) data gathered from the frontal region with other brain regions affected by attention deficit hyperactivity disorder (ADHD) through multiresolution analysis and machine learning techniques.
    Deshmukh M; Khemchandani M; Thakur PM
    Appl Neuropsychol Child; 2024 Oct; ():1-15. PubMed ID: 39352008
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG.
    Moghaddari M; Lighvan MZ; Danishvar S
    Comput Methods Programs Biomed; 2020 Dec; 197():105738. PubMed ID: 32927404
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Brain Network Analysis Method for Pediatric ADHD Using RFE-GA Feature Selection Strategy.
    Gu X; Dang C; Shi T; Tang L; Wang K; Luo X; Zhu Y; Feng Y; Wu G; Zou L; Sun L
    Biomed Phys Eng Express; 2024 Sep; ():. PubMed ID: 39348856
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model
    He Y; Wang X; Yang Z; Xue L; Chen Y; Ji J; Wan F; Mukhopadhyay SC; Men L; Tong MCF; Li G; Chen S
    J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37683665
    [No Abstract]   [Full Text] [Related]  

  • 8. Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals.
    Deshmukh M; Khemchandani M; Thakur PM
    Appl Neuropsychol Adult; 2024 Jul; ():1-15. PubMed ID: 38976722
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Altered Functional Connectivity in Children with ADHD Revealed by Scalp EEG: An ERP Study.
    Chen C; Yang H; Du Y; Zhai G; Xiong H; Yao D; Xu P; Gong J; Yin G; Li F
    Neural Plast; 2021; 2021():6615384. PubMed ID: 34054943
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection From EEG Signals.
    Maghsoudi A; Shalbaf A
    Basic Clin Neurosci; 2021; 12(6):817-826. PubMed ID: 35693148
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.
    Zhou D; Liao Z; Chen R
    J Healthc Eng; 2022; 2022():5222136. PubMed ID: 35419186
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal interval and feature selection in activity data for detecting attention deficit hyperactivity disorder.
    V S; S D MK
    Comput Biol Med; 2024 Sep; 179():108909. PubMed ID: 39053333
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differences in Performance of ASD and ADHD Subjects Facing Cognitive Loads in an Innovative Reasoning Experiment.
    Papaioannou A; Kalantzi E; Papageorgiou CC; Korombili K; Bokou A; Pehlivanidis A; Papageorgiou CC; Papaioannou G
    Brain Sci; 2021 Nov; 11(11):. PubMed ID: 34827530
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks.
    Chang Y; Stevenson C; Chen IC; Lin DS; Ko LW
    J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 35081524
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Siamese based deep neural network for ADHD detection using EEG signal.
    Latifi B; Amini A; Motie Nasrabadi A
    Comput Biol Med; 2024 Sep; 182():109092. PubMed ID: 39255658
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls.
    Vahid A; Bluschke A; Roessner V; Stober S; Beste C
    J Clin Med; 2019 Jul; 8(7):. PubMed ID: 31330961
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Increased Temporal Lobe Beta Activity in Boys With Attention-Deficit Hyperactivity Disorder by LORETA Analysis.
    Chiang CT; Ouyang CS; Yang RC; Wu RC; Lin LC
    Front Behav Neurosci; 2020; 14():85. PubMed ID: 32714161
    [No Abstract]   [Full Text] [Related]  

  • 18. Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms.
    Kiiski H; Rueda-Delgado LM; Bennett M; Knight R; Rai L; Roddy D; Grogan K; Bramham J; Kelly C; Whelan R
    Clin Neurophysiol; 2020 Jan; 131(1):330-342. PubMed ID: 31506235
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals.
    Tanko D; Barua PD; Dogan S; Tuncer T; Palmer E; Ciaccio EJ; Acharya UR
    Physiol Meas; 2022 Apr; 43(3):. PubMed ID: 35377344
    [No Abstract]   [Full Text] [Related]  

  • 20. Electroencephalogram complexity analysis in children with attention-deficit/hyperactivity disorder during a visual cognitive task.
    Zarafshan H; Khaleghi A; Mohammadi MR; Moeini M; Malmir N
    J Clin Exp Neuropsychol; 2016; 38(3):361-9. PubMed ID: 26678277
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.