Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults DOI Creative Commons
Elliz P. Scheijbeler, Willem de Haan, Emma M. Coomans

et al.

Brain Communications, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 24, 2024

Abstract With the ongoing developments in field of anti-amyloid therapy for Alzheimer’s disease, it is crucial to better understand longitudinal associations between amyloid-β deposition and altered network activity living human brain. We included 110 cognitively unimpaired individuals (67.9 ± 5.7 years), who underwent [18F]flutemetamol (amyloid-β)-PET imaging resting-state magnetoencephalography (MEG) recording at baseline 4-year follow-up. tested MEG measures (oscillatory power functional connectivity). Next, we examined relationship measures, as well deposition. Finally, assessed changes both measures. Analyses were performed using linear mixed models corrected age, sex family. At baseline, orbitofrontal-posterior cingulate regions (i.e. early disease regions) was associated with higher theta (4–8 Hz) (β = 0.17, P < 0.01) in- lower connectivity [inverted Joint Permutation Entropy (JPEinv) theta, β −0.24, 0.001] these regions, whole-brain beta (13–30 −0.13, 0.05) (JPEinv −0.18, 0.001). Whole-brain 0.05), −0.21, Baseline also predicted future oscillatory slowing, reflected by increased over time across whole brain 0.11, 0.08, 0.001), decreased −0.04, 0.05). a reduction rest −0.07, 0.01). not Longitudinal −0.19, [corrected amplitude envelope correlations alpha (8–13 Hz), −0.22, 0.05]. relative 0.21, Disruptions appear represent consequences emerging individuals. These findings suggest role neurophysiology monitoring progression potential treatment effects pre-clinical disease.

Language: Английский

Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection DOI Creative Commons

Faisal Akbar,

Imran Taj,

Syed Muhammad Usman

et al.

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: unknown, P. 111281 - 111281

Published: March 1, 2025

Alzheimer's disease (AD) affects millions of individuals worldwide and is considered a serious global health issue due to its gradual neuro-degenerative effects on cognitive abilities such as memory, thinking, behavior. There no cure for this but early detection along with supportive care plan may aid in improving the quality life patients. Automated AD challenging because symptoms vary patients genetic, environmental, or other co-existing conditions. In recent years, multiple researchers have proposed automated methods using MRI fMRI. These approaches are expensive, poor temporal resolution, do not offer real-time insights, proven be very accurate. contrast, only limited number studies explored potential Electroencephalogram (EEG) signals detection. present cost-effective, non-invasive, high-temporal-resolution alternative Despite their potential, application EEG research remains under-explored. This study reviews publicly available datasets, variety machine learning models developed detection, performance metrics achieved by these methods. It provides critical analysis existing approaches, highlights challenges, identifies key areas requiring further investigation. Key findings include detailed evaluation current methodologies, prevailing trends, gaps field. What sets work apart in-depth Disease providing stronger more reliable foundation understanding role area.

Language: Английский

Citations

1
Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer’s disease: a magnetoencephalography study DOI Creative Commons
Anne M van Nifterick, Willem de Haan, Cornelis J. Stam

et al.

Brain Communications, Journal Year: 2024, Volume and Issue: 6(6)

Published: Jan. 1, 2024

Abstract Understanding the nature and onset of neurophysiological changes, selective vulnerability central hub regions in functional network, may aid managing growing impact Alzheimer’s disease on society. However, precise alterations occurring pre-clinical stage human remain controversial. This study aims to provide increased insights quantitative during a true early disease. Using high spatial resolution source-reconstructed magnetoencephalography, we investigated regional whole-brain changes unique cohort 11 cognitively unimpaired individuals with pathogenic mutations presenilin-1 or amyloid precursor protein gene 1:3 matched control group (n = 33) median age 49 years. We examined several magnetoencephalography measures that have been shown robust detecting differences sporadic patients are sensitive excitation-inhibition imbalance. includes spectral power connectivity different frequency bands. also using disruption index. To understand how change as progresses through its stage, correlations between outcomes various clinical variables like were analysed. A comparison mutation carriers controls revealed oscillatory slowing, characterized by widespread higher theta (4–8 Hz) power, lower posterior peak occipital alpha 2 (10–13 power. Functional analyses presented (amplitude-based) (8–13 beta (13–30 bands, predominantly located parieto-temporal regions. Furthermore, found significant index for (phase-based) band, attributed both ‘non-hub’ alongside disruption. Neurophysiological did not correlate indicators progression after multiple comparisons correction. Our findings evidence slowing occur before cognitive impairment autosomal dominant leading The direction these comparable those observed stages disease, suggest an imbalance, fit activity-dependent degeneration hypothesis. These prove useful diagnosis intervention future.

Language: Английский

Citations

1
The End of Alzheimer’s Disease: Nudging Strategies to Encourage Mass Participation in Clinical Trials DOI

Amalia Călinescu

Annals of Innovation in Medicine, Journal Year: 2024, Volume and Issue: 2(3)

Published: Aug. 24, 2024

Characterized by amyloid plaques, tau tangles, and neuronal loss, Alzheimer’s disease (AD) presents a significant public health challenge, with ever-growing prevalence due to an aging global population. By the time cognitive impairment is detected, disease’s pathology already extensive difficult halt. Despite advances in research drug development, participation AD trials remains crucial for discovering effective treatments preventive measures. This article explores how behavioral economics can be employed raise awareness about Alzheimer’s, motivate individuals undergo testing, encourage involvement experimental trials. integrating nudging strategies creative educational approaches, this study aims increase support research.

Language: Английский

Citations

0
Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults DOI Creative Commons
Elliz P. Scheijbeler, Willem de Haan, Emma M. Coomans

et al.

Brain Communications, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 24, 2024

Abstract With the ongoing developments in field of anti-amyloid therapy for Alzheimer’s disease, it is crucial to better understand longitudinal associations between amyloid-β deposition and altered network activity living human brain. We included 110 cognitively unimpaired individuals (67.9 ± 5.7 years), who underwent [18F]flutemetamol (amyloid-β)-PET imaging resting-state magnetoencephalography (MEG) recording at baseline 4-year follow-up. tested MEG measures (oscillatory power functional connectivity). Next, we examined relationship measures, as well deposition. Finally, assessed changes both measures. Analyses were performed using linear mixed models corrected age, sex family. At baseline, orbitofrontal-posterior cingulate regions (i.e. early disease regions) was associated with higher theta (4–8 Hz) (β = 0.17, P < 0.01) in- lower connectivity [inverted Joint Permutation Entropy (JPEinv) theta, β −0.24, 0.001] these regions, whole-brain beta (13–30 −0.13, 0.05) (JPEinv −0.18, 0.001). Whole-brain 0.05), −0.21, Baseline also predicted future oscillatory slowing, reflected by increased over time across whole brain 0.11, 0.08, 0.001), decreased −0.04, 0.05). a reduction rest −0.07, 0.01). not Longitudinal −0.19, [corrected amplitude envelope correlations alpha (8–13 Hz), −0.22, 0.05]. relative 0.21, Disruptions appear represent consequences emerging individuals. These findings suggest role neurophysiology monitoring progression potential treatment effects pre-clinical disease.

Language: Английский

Citations

0