[HTML][HTML] A review of methods of diagnosis and complexity analysis of alzheimer's disease using EEG signals
M Ouchani, S Gharibzadeh, M Jamshidi… - BioMed Research …, 2021 - hindawi.com
This study will concentrate on recent research on EEG signals for Alzheimer's diagnosis,
identifying and comparing key steps of EEG-based Alzheimer's disease (AD) detection, such …
identifying and comparing key steps of EEG-based Alzheimer's disease (AD) detection, such …
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …
[HTML][HTML] Dementia ConnEEGtome: towards multicentric harmonization of EEG connectivity in neurodegeneration
The proposal to use brain connectivity as a biomarker for dementia phenotyping can be
potentiated by conducting large-scale multicentric studies using high-density …
potentiated by conducting large-scale multicentric studies using high-density …
[HTML][HTML] Source space connectomics of neurodegeneration: one-metric approach does not fit all
Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …
Advances in dementia with Lewy bodies
MJ Armstrong - Therapeutic Advances in Neurological …, 2021 - journals.sagepub.com
Dementia with Lewy bodies (DLB) is a clinical diagnosis representing a specific
presentation of a pathological α-synucleinopathy (Lewy body disease). DLB is one entity …
presentation of a pathological α-synucleinopathy (Lewy body disease). DLB is one entity …
Biomarkers of dementia with Lewy bodies: differential diagnostic with Alzheimer's disease
O Bousiges, F Blanc - International Journal of Molecular Sciences, 2022 - mdpi.com
Dementia with Lewy Bodies (DLB) is a common form of cognitive neurodegenerative
disease. Only one third of patients are correctly diagnosed due to the clinical similarity …
disease. Only one third of patients are correctly diagnosed due to the clinical similarity …
[HTML][HTML] Spectral features of resting-state EEG in Parkinson's Disease: a multicenter study using functional data analysis
A Jaramillo-Jimenez, DA Tovar-Rios, JA Ospina… - Clinical …, 2023 - Elsevier
Abstract Objective This study aims 1) To analyse differences in resting-state
electroencephalogram (rs-EEG) spectral features of Parkinson's Disease (PD) and healthy …
electroencephalogram (rs-EEG) spectral features of Parkinson's Disease (PD) and healthy …
Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: from the perspective of event related potentials and deep …
C Wang, T Xu, W Yu, T Li, H Han, M Zhang… - International Journal of …, 2022 - Elsevier
Abstract Alzheimer's disease (AD), a neurodegenerative disorder characterized by
progressive cognitive decline, is generally prevalent in elderly people with significant …
progressive cognitive decline, is generally prevalent in elderly people with significant …
Practical use of DAT SPECT imaging in diagnosing dementia with Lewy bodies: a US perspective of current guidelines and future directions
Background Diagnosing Dementia with Lewy Bodies (DLB) remains a challenge in clinical
practice. The use of 123I-ioflupane (DaTscan™) SPECT imaging, which detects reduced …
practice. The use of 123I-ioflupane (DaTscan™) SPECT imaging, which detects reduced …
Lewy body dementias: a coin with two sides?
Á Milán-Tomás, M Fernández-Matarrubia… - Behavioral …, 2021 - mdpi.com
Lewy body dementias (LBDs) consist of dementia with Lewy bodies (DLB) and Parkinson's
disease dementia (PDD), which are clinically similar syndromes that share …
disease dementia (PDD), which are clinically similar syndromes that share …