143 related articles for article (PubMed ID: 36938881)
1. The potential of the Lempel-Ziv complexity of the EEG in diagnosing cognitive impairment in patients with temporal lobe epilepsy.
Ren Z; Yue M; Han X; Zhao Z; Wang B; Hong Y; Zhao T; Wang N; Zhao P; Hong Y; Wang Q; Zhao Y
Epileptic Disord; 2023 Jun; 25(3):331-342. PubMed ID: 36938881
[TBL] [Abstract][Full Text] [Related]
2. Construction of machine learning models for recognizing comorbid anxiety in epilepsy patients based on their clinical and quantitative EEG features.
Ren Z; Wang B; Yue M; Han J; Chen Y; Zhao T; Wang N; Xu J; Zhao P; Li M; Sun L; Wen B; Zhao Z; Han X
Epilepsy Res; 2024 Mar; 201():107333. PubMed ID: 38422800
[TBL] [Abstract][Full Text] [Related]
3. Multiple characteristics analysis of Alzheimer's electroencephalogram by power spectral density and Lempel-Ziv complexity.
Liu X; Zhang C; Ji Z; Ma Y; Shang X; Zhang Q; Zheng W; Li X; Gao J; Wang R; Wang J; Yu H
Cogn Neurodyn; 2016 Apr; 10(2):121-33. PubMed ID: 27066150
[TBL] [Abstract][Full Text] [Related]
4. Predicting the therapeutic response to valproic acid in childhood absence epilepsy through electroencephalogram analysis using machine learning.
Li SP; Lin LC; Yang RC; Ouyang CS; Chiu YH; Wu MH; Tu YF; Chang TM; Wu RC
Epilepsy Behav; 2024 Feb; 151():109647. PubMed ID: 38232558
[TBL] [Abstract][Full Text] [Related]
5. Abnormal EEG complexity in patients with schizophrenia and depression.
Li Y; Tong S; Liu D; Gai Y; Wang X; Wang J; Qiu Y; Zhu Y
Clin Neurophysiol; 2008 Jun; 119(6):1232-41. PubMed ID: 18396454
[TBL] [Abstract][Full Text] [Related]
6. Electroencephalographic Changes in Pregnant Women with Hyperemesis Gravidarum: A Case-Control Study.
Çelik MN; Aldemir R; Sürmeli R; Kale İ; Tokmakçı M; Muhcu M
Z Geburtshilfe Neonatol; 2024 Jun; 228(3):232-239. PubMed ID: 38081216
[TBL] [Abstract][Full Text] [Related]
7. A model for the diagnosis of anxiety in patients with epilepsy based on phase locking value and Lempel-Ziv complexity features of the electroencephalogram.
Wang Q; Ren Z; Yue M; Zhao Y; Wang B; Zhao Z; Wen B; Hong Y; Chen Y; Zhao T; Wang N; Zhao P; Hong Y; Han X
Brain Res; 2024 Feb; 1824():148662. PubMed ID: 37924926
[TBL] [Abstract][Full Text] [Related]
8. [Analysis of EEG in the elderly with mild cognitive impairment based on Lempel-Ziv complexity].
Yan T; Xue Q; Wei L; Li Y; Wang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):972-5. PubMed ID: 24459954
[TBL] [Abstract][Full Text] [Related]
9. Neural complexity in patients with poststroke depression: A resting EEG study.
Zhang Y; Wang C; Sun C; Zhang X; Wang Y; Qi H; He F; Zhao X; Wan B; Du J; Ming D
J Affect Disord; 2015 Dec; 188():310-8. PubMed ID: 26402253
[TBL] [Abstract][Full Text] [Related]
10. Lempel-Ziv and multiscale Lempel-Ziv complexity in depression.
Kalev K; Bachmann M; Orgo L; Lass J; Hinrikus H
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4158-61. PubMed ID: 26737210
[TBL] [Abstract][Full Text] [Related]
11. Multiscale Lempel-Ziv complexity for EEG measures.
Ibáñez-Molina AJ; Iglesias-Parro S; Soriano MF; Aznarte JI
Clin Neurophysiol; 2015 Mar; 126(3):541-8. PubMed ID: 25127707
[TBL] [Abstract][Full Text] [Related]
12.
Lee GE; Yun JM; Yang SB; Kang Y; Kang HW; Choi KH; Kim J; Kwon OS; Park JE; Kim JH
Evid Based Complement Alternat Med; 2017; 2017():7107136. PubMed ID: 28484506
[TBL] [Abstract][Full Text] [Related]
13. An objective model for diagnosing comorbid cognitive impairment in patients with epilepsy based on the clinical-EEG functional connectivity features.
Ren Z; Zhao Y; Han X; Yue M; Wang B; Zhao Z; Wen B; Hong Y; Wang Q; Hong Y; Zhao T; Wang N; Zhao P
Front Neurosci; 2022; 16():1060814. PubMed ID: 36711136
[TBL] [Abstract][Full Text] [Related]
14. Differences in the topographical distribution of sleep spindles among adult epilepsy with cognitive impairment.
Huang Y; Liu Y; Liu Y; Han J; Han H; Li J; Wang T
Epilepsia Open; 2023 Sep; 8(3):980-990. PubMed ID: 37259710
[TBL] [Abstract][Full Text] [Related]
15. Noninvasive Detection of Hippocampal Epileptiform Activity on Scalp Electroencephalogram.
Abou Jaoude M; Jacobs CS; Sarkis RA; Jing J; Pellerin KR; Cole AJ; Cash SS; Westover MB; Lam AD
JAMA Neurol; 2022 Jun; 79(6):614-622. PubMed ID: 35499837
[TBL] [Abstract][Full Text] [Related]
16. EEG-Driven Prediction Model of Oxcarbazepine Treatment Outcomes in Patients With Newly-Diagnosed Focal Epilepsy.
Wang B; Han X; Zhao Z; Wang N; Zhao P; Li M; Zhang Y; Zhao T; Chen Y; Ren Z; Hong Y
Front Med (Lausanne); 2021; 8():781937. PubMed ID: 35047529
[No Abstract] [Full Text] [Related]
17. Major depressive disorder recognition by quantifying EEG signal complexity using proposed APLZC and AWPLZC.
Kang X; Liu X; Chen S; Zhang W; Liu S; Ming D
J Affect Disord; 2024 Jul; 356():105-114. PubMed ID: 38580036
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer's Disease Using QEEG Features and Genetic Algorithm Heuristic.
Kim NH; Yang DW; Choi SH; Kang SW
Front Comput Neurosci; 2021; 15():755499. PubMed ID: 34867252
[TBL] [Abstract][Full Text] [Related]
19. An integrative prediction algorithm of drug-refractory epilepsy based on combined clinical-EEG functional connectivity features.
Wang B; Han X; Yang S; Zhao P; Li M; Zhao Z; Wang N; Ma H; Zhang Y; Zhao T; Chen Y; Ren Z; Hong Y; Wang Q
J Neurol; 2022 Mar; 269(3):1501-1514. PubMed ID: 34308506
[TBL] [Abstract][Full Text] [Related]
20. Complexity changes in preclinical Alzheimer's disease: An MEG study of subjective cognitive decline and mild cognitive impairment.
Shumbayawonda E; López-Sanz D; Bruña R; Serrano N; Fernández A; Maestú F; Abasolo D
Clin Neurophysiol; 2020 Feb; 131(2):437-445. PubMed ID: 31884374
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
