Cerebrospinal fluid amyloid beta with amyloid positron emission tomography concordance rates in a heterogeneous group of patients including late‐onset psychotic disorders: a retrospective cross‐sectional study

Satake, Yuto; Kanemoto, Hideki; Gotoh, Shiho; Akamine, Shoshin; Suehiro, Takashi; Matsunaga, Keiko; Shimosegawa, Eku; Yoshiyama, Kenji; Morihara, Takashi; Mori, Kohji; Ikeda, Manabu

doi:10.1111/psyg.13024

Psychogeriatrics

2023

DOI: 10.1111/psyg.13024

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Cerebrospinal fluid amyloid beta with amyloid positron emission tomography concordance rates in a heterogeneous group of patients including late‐onset psychotic disorders: a retrospective cross‐sectional study

Yuto Satake,

Hideki Kanemoto,

Shiho Gotoh

et al.

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2024

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Utilizing portable electroencephalography to screen for pathology of Alzheimer’s disease: a methodological advancement in diagnosis of neurodegenerative diseases

Hata,

Miyazaki,

Mori

et al. 2024

Front. Psychiatry

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BackgroundThe current biomarker-supported diagnosis of Alzheimer’s disease (AD) is hindered by invasiveness and cost issues. This study aimed to address these challenges by utilizing portable electroencephalography (EEG). We propose a novel, non-invasive, and cost-effective method for identifying AD, using a sample of patients with biomarker-verified AD, to facilitate early and accessible disease screening.MethodsThis study included 35 patients with biomarker-verified AD, confirmed via cerebrospinal fluid sampling, and 35 age- and sex-balanced healthy volunteers (HVs). All participants underwent portable EEG recordings, focusing on 2-minute resting-state EEG epochs with closed eyes state. EEG recordings were transformed into scalogram images, which were analyzed using “vision Transformer(ViT),” a cutting-edge deep learning model, to differentiate patients from HVs.ResultsThe application of ViT to the scalogram images derived from portable EEG data demonstrated a significant capability to distinguish between patients with biomarker-verified AD and HVs. The method achieved an accuracy of 73%, with an area under the receiver operating characteristic curve of 0.80, indicating robust performance in identifying AD pathology using neurophysiological measures.ConclusionsOur findings highlight the potential of portable EEG combined with advanced deep learning techniques as a transformative tool for screening of biomarker-verified AD. This study not only contributes to the neurophysiological understanding of AD but also opens new avenues for the development of accessible and non-invasive diagnostic methods. The proposed approach paves the way for future clinical applications, offering a promising solution to the limitations of advanced diagnostic practices for dementia.

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Utilizing portable electroencephalography to screen for pathology of Alzheimer’s disease: a methodological advancement in diagnosis of neurodegenerative diseases

Hata,

Miyazaki,

Mori

et al. 2024

Front. Psychiatry

Self Cite

View full text Add to dashboard Cite

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Cerebrospinal fluid amyloid beta with amyloid positron emission tomography concordance rates in a heterogeneous group of patients including late‐onset psychotic disorders: a retrospective cross‐sectional study

Cited by 1 publication

References 7 publications

Utilizing portable electroencephalography to screen for pathology of Alzheimer’s disease: a methodological advancement in diagnosis of neurodegenerative diseases

Utilizing portable electroencephalography to screen for pathology of Alzheimer’s disease: a methodological advancement in diagnosis of neurodegenerative diseases

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