ArticleAlzheimer's research & therapy2019
Electrophysiological brain signatures for the classification of subjective cognitive decline: towards an individual detection in the preclinical stages of dementia.
Article in Alzheimer's research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- A Systematic Review of the Effects of Capsaicin on Alzheimer's Disease.International journal of molecular sciences · 2023Pooled it
- Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review.NeuroImage. Clinical · 2022Pooled it
- Clinical definition, biological characterization, and detection guidelines of subjective cognitive decline due to Alzheimer's disease and related dementia: A position paper from ISTAART SCD PIA.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Article
- Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.Neural networks : the official journal of the International Neural Network Society · 2025Article
- A metabolism-functional connectome sparse coupling method to reveal imaging markers for Alzheimer's disease based on simultaneous PET/MRI scans.Human brain mapping · 2023Article
- Exploration of novel biomarkers in Alzheimer's disease based on four diagnostic models.Frontiers in aging neuroscience · 2023Article
- MEG Oscillatory Slowing in Cognitive Impairment is Associated with the Presence of Subjective Cognitive Decline.Clinical EEG and neuroscience · 2023Article
- The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment.Frontiers in human neuroscience · 2023Article
- Preclinical Alzheimer's dementia: a useful concept or another dead end?European journal of ageing · 2022Review
- Subjective Cognitive Decline Associated with Discrimination in Medical Settings among Transgender and Nonbinary Older Adults.International journal of environmental research and public health · 2022Article
- Concurrent behavioral and electrophysiological longitudinal recordings forFrontiers in aging neuroscience · 2022Article
- Exploring Early Physical Examination Diagnostic Biomarkers for Alzheimer's Disease Based on Least Absolute Shrinkage and Selection Operator.Computational and mathematical methods in medicine · 2022Article
- Gene Set Index Based on Different Modules May Help Differentiate the Mechanisms of Alzheimer's Disease and Vascular Dementia.Clinical interventions in aging · 2021Article
- Routine magnetoencephalography in memory clinic patients: A machine learning approach.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Integrated Analysis of Weighted Gene Coexpression Network Analysis Identifying Six Genes as Novel Biomarkers for Alzheimer's Disease.Oxidative medicine and cellular longevity · 2021Article
- Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease.Molecular neurodegeneration · 2020Review
- Functional neuroimaging in subjective cognitive decline: current status and a research path forward.Alzheimer's research & therapy · 2020Review
- Identification of molecular correlations of RBM8A with autophagy in Alzheimer's disease.Aging · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundAlzheimer's disease (AD) prevalence is rapidly growing as worldwide populations grow older. Available treatments have failed to slow down disease progression, thus increasing research focus towards early or preclinical stages of the disease. Subjective cognitive decline (SCD) is known to increase the risk of developing AD and several other negative outcomes. However, it is still very scarcely characterized and there is no neurophysiological study devoted to its individual classification which could improve targeted sample recruitment for clinical trials.
methodsTwo hundred fifty-two older adults (70 healthy controls, 91 SCD, and 91 MCI) underwent a magnetoencephalography scan. Alpha relative power in the source space was employed to train a LASSO classifier and applied to distinguish between healthy controls and SCD. Moreover, MCI participants were used to further validate the previously trained algorithm.
resultsThe classifier was significantly associated to SCD with an AUC of 0.81 in the whole sample. After randomly splitting the sample in 2/3 for discovery and 1/3 for validation, the newly trained classifier was also able to correctly classify SCD individuals with an AUC of 0.75 in the validation sample. The regions selected by the algorithm included medial frontal, temporal, and occipital areas. The algorithm trained to select SCD individuals was also significantly associated to MCI diagnostic.
conclusionsAccording to our results, magnetoencephalography could be a useful tool for distinguishing individuals with SCD and healthy older adults without cognitive concerns. Furthermore, our classifier showed good external validity, being not only successful for an unseen SCD sample, but also in a different population with MCI cases. This supports its utility in the context of preclinical dementia. These findings highlight the potential applications of electrophysiological techniques to improve sample recruitment at the individual level in the context of clinical trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.