ArticleBMC neuroscience2019
Exploration of time-frequency reassignment and homologous inter-hemispheric asymmetry analysis of MCI-AD brain activity.
Article in BMC neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biomarkers for Alzheimer's disease and mild cognitive impairment: Recent advances in task-based EEG.Journal of Alzheimer's disease : JAD · 2026Pooled it
- Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis.Scientific reports · 2025Pooled it
- Influence of attentional state on EEG-based motor imagery of lower limb.Frontiers in human neuroscience · 2025Article
- 'Knock down the brain': a nonlinear analysis of electroencephalography to study the effects of sub-concussion in boxers.European journal of neurology · 2025Article
- An EEG-based framework for automated discrimination of conversion to Alzheimer's disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study.Frontiers in aging neuroscience · 2024Article
- EEG asymmetry and cognitive testing in MCI identification.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022Article
- Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment.Frontiers in aging neuroscience · 2022Article
- Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer's Disease: A Review.Entropy (Basel, Switzerland) · 2020Review
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3 authors.
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Abstract
backgroundIn this study, nonlinear based time-frequency (TF) and time domain investigations are employed for the analysis of electroencephalogram (EEG) signals of mild cognitive impairment-Alzheimer's disease (MCI-AD) patients and healthy controls. This study attempts to comprehend the cognitive decline of MCI-AD under both resting and cognitive task conditions.
resultsWavelet-based synchrosqueezing transform (SST) alleviates the smearing of energy observed in the spectrogram around the central frequencies in short-time Fourier transform (STFT), and continuous wavelet transform (CWT). A precise TF representation is assured due to the reassignment of scale variable to the frequency variable. It is discerned from the studies of time domain measures encompassing fractal dimension (FD) and approximate entropy (ApEn), that the parietal lobe is the most affected in MCI-AD under both resting and cognitive states. Alterations in asymmetry in the brain hemispheres are analysed using the homologous areas inter-hemispheric symmetry (HArS).
conclusionTime and time-frequency domain analysis of EEG signals have been used for distinguishing various brain states. Therefore, EEG analysis is highly useful for the screening of AD in its prodromal phase.
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