198 related articles for article (PubMed ID: 36745929)
1. An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG.
Sibilano E; Brunetti A; Buongiorno D; Lassi M; Grippo A; Bessi V; Micera S; Mazzoni A; Bevilacqua V
J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36745929
[No Abstract] [Full Text] [Related]
2. Electroencephalography-based classification of Alzheimer's disease spectrum during computer-based cognitive testing.
Kim SK; Kim H; Kim SH; Kim JB; Kim L
Sci Rep; 2024 Mar; 14(1):5252. PubMed ID: 38438453
[TBL] [Abstract][Full Text] [Related]
3. Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.
Huggins CJ; Escudero J; Parra MA; Scally B; Anghinah R; Vitória Lacerda De Araújo A; Basile LF; Abasolo D
J Neural Eng; 2021 Jun; 18(4):. PubMed ID: 34044374
[No Abstract] [Full Text] [Related]
4. Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment.
Meghdadi AH; Stevanović Karić M; McConnell M; Rupp G; Richard C; Hamilton J; Salat D; Berka C
PLoS One; 2021; 16(2):e0244180. PubMed ID: 33544703
[TBL] [Abstract][Full Text] [Related]
5. Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG.
Sibilano E; Buongiorno D; Lassi M; Grippo A; Bessi V; Sorbi S; Mazzoni A; Bevilacqua V; Brunetti A
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3422-3433. PubMed ID: 38635390
[TBL] [Abstract][Full Text] [Related]
6. A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
Drage R; Escudero J; Parra MA; Scally B; Anghinah R; De Araujo AVL; Basile LF; Abasolo D
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3175-3178. PubMed ID: 36085668
[TBL] [Abstract][Full Text] [Related]
7. Complexity of EEG Dynamics for Early Diagnosis of Alzheimer's Disease Using Permutation Entropy Neuromarker.
Şeker M; Özbek Y; Yener G; Özerdem MS
Comput Methods Programs Biomed; 2021 Jul; 206():106116. PubMed ID: 33957376
[TBL] [Abstract][Full Text] [Related]
8. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
9. Quantitative EEG as a biomarker in mild cognitive impairment with Lewy bodies.
Schumacher J; Taylor JP; Hamilton CA; Firbank M; Cromarty RA; Donaghy PC; Roberts G; Allan L; Lloyd J; Durcan R; Barnett N; O'Brien JT; Thomas AJ
Alzheimers Res Ther; 2020 Jul; 12(1):82. PubMed ID: 32641111
[TBL] [Abstract][Full Text] [Related]
10. PLI-Based Connectivity in Resting-EEG is a Robust and Generalizable Feature for Detecting MCI and AD: A Validation on a Diverse Multisite Clinical Dataset.
Trinh TT; Liu YH; Wu CT; Peng WH; Hou CL; Weng CH; Lee CY
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-6. PubMed ID: 38083569
[TBL] [Abstract][Full Text] [Related]
11. Dynamics of the "Cognitive" Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment.
Porcaro C; Vecchio F; Miraglia F; Zito G; Rossini PM
Int J Neural Syst; 2022 May; 32(5):2250022. PubMed ID: 35435134
[TBL] [Abstract][Full Text] [Related]
12. Spectral analysis and Bi-LSTM deep network-based approach in detection of mild cognitive impairment from electroencephalography signals.
Said A; Göker H
Cogn Neurodyn; 2024 Apr; 18(2):597-614. PubMed ID: 38699612
[TBL] [Abstract][Full Text] [Related]
13. Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series.
Şeker M; Özerdem MS
J Neurosci Methods; 2024 Mar; 403():110057. PubMed ID: 38215948
[TBL] [Abstract][Full Text] [Related]
14. Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity: reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer's disease.
Núñez P; Poza J; Gómez C; Rodríguez-González V; Hillebrand A; Tola-Arribas MA; Cano M; Hornero R
J Neural Eng; 2019 Sep; 16(5):056030. PubMed ID: 31112938
[TBL] [Abstract][Full Text] [Related]
15. Degradation of EEG microstates patterns in subjective cognitive decline and mild cognitive impairment: Early biomarkers along the Alzheimer's Disease continuum?
Lassi M; Fabbiani C; Mazzeo S; Burali R; Vergani AA; Giacomucci G; Moschini V; Morinelli C; Emiliani F; Scarpino M; Bagnoli S; Ingannato A; Nacmias B; Padiglioni S; Micera S; Sorbi S; Grippo A; Bessi V; Mazzoni A
Neuroimage Clin; 2023; 38():103407. PubMed ID: 37094437
[TBL] [Abstract][Full Text] [Related]
16. Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning.
Wang C; Xu T; Yu W; Li T; Han H; Zhang M; Tao M
Int J Psychophysiol; 2022 Dec; 182():182-189. PubMed ID: 36309183
[TBL] [Abstract][Full Text] [Related]
17. Multiple cross-frequency coupling analysis of resting-state EEG in patients with mild cognitive impairment and Alzheimer's disease.
Chen X; Li Y; Li R; Yuan X; Liu M; Zhang W; Li Y
Front Aging Neurosci; 2023; 15():1142085. PubMed ID: 37600515
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Application of Machine Learning to Arterial Spin Labeling in Mild Cognitive Impairment and Alzheimer Disease.
Collij LE; Heeman F; Kuijer JP; Ossenkoppele R; Benedictus MR; Möller C; Verfaillie SC; Sanz-Arigita EJ; van Berckel BN; van der Flier WM; Scheltens P; Barkhof F; Wink AM
Radiology; 2016 Dec; 281(3):865-875. PubMed ID: 27383395
[TBL] [Abstract][Full Text] [Related]
20. An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features.
Buscema M; Vernieri F; Massini G; Scrascia F; Breda M; Rossini PM; Grossi E
Artif Intell Med; 2015 May; 64(1):59-74. PubMed ID: 25997573
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]