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2024

Acceptance Ratio

21%

References

1 
2024, Dementia, World Health OrganizationGoogle Search
2 
Adlimoghaddam A. , Neuendorff M. , Roy B. , Albensi B. C. , 2018, A review of clinical treatment considerations of donepezil in severe Alzheimer’s disease, CNS Neuroscience and Therapeutics, Vol. 24, pp. 876-888DOI
3 
Bateman R. J. , Xiong C. , Benzinger T. L. S. , Fagan A. M. , Goate A. , Fox N. C. , Marcus D. S. , Cairns N. J. , Xie X. , Blazey T. M. , Holtzman J. C. , Santacruz A. , Buckles V. , Oliver A. , Moulder K. , Aisen P. S. , Sperling R. B. , Morris J. C. , Holtzman D. M. , 2012, Clinical and biomarker changes in dominantly inherited Alzheimer’s disease, The New England Journal of Medicine, Vol. 367, pp. 795-804DOI
4 
Wang C. , Li Y. , Chen Y. , Zhang Y. , Liu X. , 2022, Early diagnosis of Alzheimer’s disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning, International Journal of Psychophysiology, Vol. 182, pp. 182-189DOI
5 
Benbadis S. R. , Beniczky S. , Bertram E. , MacIver S. , Moshe S. L. , 2020, The role of EEG in patients with suspected epilepsy, Epileptic Disorders, Vol. 22, pp. 143-155DOI
6 
Safayari A. , Bolhasani H. , 2021, Depression diagnosis by deep learning using EEG signals: A systematic review, Medicine in Novel Technology and Devices, Vol. 12DOI
7 
Mahato S. , Paul S. , 2023, Analysis of region of interest of brain for detection of depression using EEG signal, Multimedia Tools and ApplicationsDOI
8 
Adebisi A. T. , Veluvolu K. C. , 2023, Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review, Frontiers in Aging Neuroscience, Vol. 15DOI
9 
Alves C. L. , Pineda A. M. , Roster K. , Thielemann C. , Rodrigues F. A. , 2022, EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer’s disease and schizophrenia, Journal of Physics: Complexity, Vol. 3DOI
10 
Jeong J. , 2004, EEG dynamics in patients with Alzheimer’s disease, Clinical Neurophysiology, Vol. 115, No. 7, pp. 1490-1505DOI
11 
Harpale V. K. , Bairagi V. K. , 2016, Time and frequency domain analysis of EEG signals for seizure detection: A review, Proc. of the International Conference on Microelectronics, Computing and CommunicationsGoogle Search
12 
Kumar Y. , Dewal M. L. , Anand R. S. , 2013, Wavelet entropy based EEG analysis for seizure detection, Proc. of the IEEE International Conference on Signal Processing, Computing and ControlGoogle Search
13 
Djemal A. , Bouchaala D. , Fakhfakh A. , Kanoun O. , 2022, Artifacts removal from epileptic EEG signal based on independent components analysis method, Proc. of the IEEE International Symposium on Medical Measurements and ApplicationsGoogle Search
14 
Rajaguru H. , Prabhakar S. K. , 2018, Interpretation of autoencoders and PCA with AdaBoost classifier for classification of epilepsy from EEG signals, Proc. of the International Conference on Inventive Research in Computing ApplicationsGoogle Search
15 
Biagetti G. , Crippa P. , Falaschetti L. , Luzzi S. , Turchetti C. , 2021, Classification of Alzheimer’s disease from EEG signal using robust-PCA feature extraction, Procedia Computer Science, Vol. 192, pp. 3114-3122DOI
16 
Al-Jumeily D. , Iram S. , Vialatte F. , Fergus P. , Hussain A. , 2014, A novel method of early diagnosis of Alzheimer’s disease based on EEG signals, The Scientific World Journal, Vol. 2015Google Search
17 
Delbeuck X. , Linden M. V. , Collette F. , 2003, Alzheimer’s disease as a disconnection syndrome?, Neuropsychology Review, Vol. 13, No. 2, pp. 79-92DOI
18 
Ayesha S. , Hanif M. K. , Talib R. , 2020, Overview and comparative study of dimensionality reduction techniques for high dimensional data, Information Fusion, Vol. 59, pp. 44-58DOI
19 
Jia W. K. , Sun M. L. , Lian J. , Hou S. J. , 2022, Feature dimensionality reduction: A review, Complex and Intelligent Systems, Vol. 8, pp. 2663-2693DOI
20 
Lan R. S. , Zhou Y. C. , 2016, Quaternion-Michelson descriptor for color image classification, IEEE Transactions on Image Processing, Vol. 25, No. 11, pp. 5281-5292DOI
21 
Filippi M. , Spinelli E. G. , Cividini C. , Agosta F. , 2019, Resting state dynamic functional connectivity in neurodegenerative conditions: A review of magnetic resonance imaging findings, Frontiers in Neuroscience, Vol. 13DOI
22 
Gu Y. , Lin Y. , Huang L. , Ma J. , Zhang J. , Xiao Y. , Dai Z. , 2020, Abnormal dynamic functional connectivity in Alzheimer’s disease, CNS Neuroscience and Therapeutics, Vol. 26, pp. 962-971DOI
23 
Nunez P. , Poza J. , GÓmez C. , Ruiz-Gómez S. J. , Rodríguez-González V. , Tola-Arribas M. Á. , Cano M. , Hornero R. , 2018, Analysis of electroencephalographic dynamic functional connectivity in Alzheimer’s disease, Proc. of the World Congress on Medical Physics and Biomedical Engineering, pp. 165-168Google Search
24 
Panwar S. , Joshi S. D. , Gupta A. , Kunnatur S. , Agarwal P. , 2021, Recursive dynamic functional connectivity reveals a characteristic correlation structure in human scalp EEG, Scientific Reports, Vol. 11DOI
25 
Moxey C. E. , Sangwine S. J. , Ell T. A. , 2003, Hypercomplex correlation techniques for vector images, IEEE Transactions on Signal Processing, Vol. 51, No. 7, pp. 1941-1953DOI
26 
Yin Q. , Wang J. , Luo X. , Zhai J. , Jha S. K. , Shi Y. Q. , 2019, Quaternion convolutional neural network for color image classification and forensics, IEEE Access, Vol. 7, pp. 20293-20301DOI
27 
Stancin S. , Tomazic S. , 2020, Computationally efficient 3D orientation tracking using gyroscope measurements, Sensors, Vol. 20, No. 8DOI
28 
Le Bihan N. , Mars J. , 2004, Singular value decomposition of quaternion matrices: A new tool for vector-sensor signal processing, Signal Processing, Vol. 84, pp. 1177-1199DOI
29 
Batres-Mendoza P. , 2016, Quaternion-based signal analysis for motor imagery classification from electroencephalographic signals, Sensors, Vol. 16DOI
30 
Enshaeifar S. , Kouchaki S. , Took C. C. , Sanei S. , 2016, Quaternion singular spectrum analysis of electroencephalogram with application in sleep analysis, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 24, No. 1, pp. 57-67DOI
31 
Liu W. , Kou K. I. , Miao J. , Cai Z. , 2023, Quaternion scalar and vector norm decomposition: Quaternion PCA for color face recognition, IEEE Transactions on Image Processing, Vol. 32, pp. 446-457DOI
32 
Zhao Y. , Hong W. , Xu Y. , Zhang T. , 2010, Multichannel epileptic EEG classification using quaternions and neural network, Proc. of the International Conference on Pervasive Computing, Signal Processing and ApplicationsGoogle Search
33 
Krishnan S. , Athavale Y. , 2018, Trends in biomedical signal feature extraction, Biomedical Signal Processing and Control, Vol. 43, pp. 41-63DOI
34 
Lahijanian M. , Sedghizadeh M. J. , Aghajan H. , Vahabi Z. , 2022, Non-invasive auditory brain stimulation for gamma-band entrainment in dementia patients: An EEG dataset, Data in Brief, Vol. 41DOI
35 
Klem G. H. , Lüders H. O. , Jasper H. H. , Elger C. , 1999, The ten–twenty electrode system of the International Federation, Recommendations for the Practice of Clinical Neurophysiology: Guidelines of the International Federation of Clinical Physiology, EEG Supplement, Vol. 52, pp. 3-6Google Search
36 
Delorme A. , Makeig S. , 2004, EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, Vol. 134, pp. 9-21DOI
37 
Sangwine S. J. , Le Bihan N. , 2005, Quaternion Toolbox for MATLAB, Software libraryGoogle Search
38 
Puri D. , Nalbalwar S. , Nandgaonkar A. , Wagh A. , 2022, Alzheimer’s disease detection with optimal EEG channel selection using wavelet transform, Proc. of the International Conference on Decision Aid Sciences and Applications, pp. 443-448Google Search
39 
Perez-Valero E. , Morillas C. , Lopez-Gordo M. A. , Minguillon J. , 2023, Supporting the detection of early Alzheimer’s disease with a four-channel EEG analysis, International Journal of Neural Systems, Vol. 33, No. 4DOI
40 
Cicalese P. A. , 2020, An EEG–fNIRS hybridization technique in the four-class classification of Alzheimer’s disease, Journal of Neuroscience Methods, Vol. 336DOI
41 
Cassani R. , Estarellas M. , San-Martin R. , Fraga F. J. , Falk T. H. , 2018, Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment, Disease Markers, Vol. 2018DOI
42 
Basar E. , Basar-Eroglu C. , Guntekin B. , Yener G. G. , 2013, Brain’s alpha, beta, gamma, delta, and theta oscillations in neuropsychiatric diseases: Proposal for biomarker strategies, Application of Brain Oscillations in Neuropsychiatric Diseases, Supplements to Clinical Neurophysiology, Vol. 62, pp. 19-54Google Search
43 
Dauwels J. , Vialatte F. , Cichocki A. , 2011, On the early diagnosis of Alzheimer’s disease from EEG signals: A mini-review, Advances in Cognitive Neurodynamics II, pp. 709-716Google Search
44 
Schwab S. , Afyouni S. , Chen Y. , Han Z. , Guo O. , Dierks T. , Wahlund L.-O. , Grieder M. , 2020, Functional connectivity alterations of the temporal lobe and hippocampus in semantic dementia and Alzheimer’s disease, Journal of Alzheimer’s Disease, Vol. 76, pp. 1461-1475DOI
45 
Rivas-Fernandez M. A. , 2023, Neuroanatomical and neurocognitive changes associated with subjective cognitive decline, Frontiers in Medicine, Vol. 10DOI
46 
Watanabe Y. , 2024, A deep learning model for the detection of various dementia and mild cognitive impairment pathologies based on resting-state electroencephalography data: A retrospective multicenter study, Neural Networks, Vol. 171, pp. 242-250Google Search
47 
Siuly S. , Alcin O. F. , Wang H. , Li Y. , Wen P. , 2024, Exploring rhythms and channels-based EEG biomarkers for early detection of Alzheimer’s disease, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 2, pp. 1609-1623DOI
48 
Vicchietti M. L. , Ramos F. M. , Betting L. E. , Campanharo A. S. L. O. , 2023, Computational methods of EEG signals analysis for Alzheimer’s disease classification, Scientific Reports, Vol. 13DOI
49 
Puri D. V. , Nalbalwar S. L. , Nandgaonkar A. B. , Gawande J. P. , Wagh A. , 2023, Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks, Biomedical Signal Processing and Control, Vol. 81DOI
50 
Alessandrini M. , Biagetti G. , Crippa P. , Falaschetti L. , Luzzi S. , Turchetti C. , 2022, EEG-based Alzheimer’s disease recognition using robust-PCA and LSTM recurrent neural network, Sensors, Vol. 22DOI
51 
Safi M. S. , Safi S. M. M. , 2021, Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters, Biomedical Signal Processing and Control, Vol. 65DOI
52 
Jia Z. , Ng M. K. , Song G. J. , 2019, Lanczos method for large-scale quaternion singular value decomposition, Numerical Algorithms, Vol. 82, pp. 699-717DOI
53 
Ma Y. L. , Cheng J. S. , Wang P. , Wang J. , Yang Y. , 2022, A novel Lanczos quaternion singular spectrum analysis method and its application to bevel gear fault diagnosis with multi-channel signals, Mechanical Systems and Signal Processing, Vol. 168DOI
54 
van Deursen J. A. , Vuurman E. F. P. M. , van Kranen-Mastenbroek V. H. J. M. , Verhey F. R. J. , Riedel W. J. , 2009, 40-Hz steady state response in Alzheimer’s disease and mild cognitive impairment, Neurobiology of Aging, Vol. 32, pp. 24-30Google Search
55 
Yang A. C. , Wang S.-J. , Lai K.-L. , Tsai C.-F. , Yang C.-H. , Hwang J.-P. , Lo M.-T. , Huang N. E. , Peng C.-K. , Fuh J.-L. , 2013, Cognitive and neuropsychiatric correlates of EEG dynamic complexity in patients with Alzheimer’s disease, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Vol. 47, pp. 52-61DOI
56 
Lin Y. , Ling B. W.-K. , Hu L. , Zhang Y. , Xu N. , Zhou X. , Wang X. , 2021, Hyperspectral image enhancement by two-dimensional quaternion-valued singular spectrum analysis for object recognition, Remote Sensing, Vol. 13, No. 3DOI