Why the study?
Individuals with MCI are at high risk of developing AD, and this study aimed to evaluate neural oscillatory responses and nonlinear brain dynamics under photic stimulation across stages of AD, MCI, and healthy controls.
Does repetitive photic stimulation reveal differences in neural oscillatory responses and brain dynamics between patients with Alzheimer's disease, mild cognitive impairment, and healthy controls?
Does repetitive photic stimulation reveal differences in neural oscillatory responses and brain dynamics between patients with Alzheimer's disease, mild cognitive impairment, and healthy controls?
Alzheimer's disease patients exhibit a deficiency in brain adaptability to repetitive perceptual stimulation, highlighted by altered EEG complexity and harmonic responses compared to MCI and healthy controls.
Altered EEG dynamics under photic stimulation may distinguish MCI from mild AD; leaves open whether adaptability deficits predict progression.
Individuals with mild cognitive impairment (MCI) are at high risk of developing Alzheimer's disease (AD). Repetitive photic stimulation (PS) is commonly used in routine electroencephalogram (EEG) examinations for rapid assessment of perceptual functioning. This study aimed to evaluate neural oscillatory responses and nonlinear brain dynamics under the effects of PS in patients with mild AD, moderate AD, severe AD, and MCI, as well as healthy elderly controls (HC). EEG power ratios during PS were estimated as an index of oscillatory responses. Multiscale sample entropy (MSE) was estimated as an index of brain dynamics before, during, and after PS. During PS, EEG harmonic responses were lower and MSE values were higher in the AD subgroups than in HC and MCI groups. PS-induced changes in EEG complexity were less pronounced in the AD subgroups than in HC and MCI groups. Brain dynamics revealed a "transitional change" between MCI and Mild AD. Our findings suggest a deficiency in brain adaptability in AD patients, which hinders their ability to adapt to repetitive perceptual stimulation. This study highlights the importance of combining spectral and nonlinear dynamical analysis when seeking to unravel perceptual functioning and brain adaptability in the various stages of neurodegenerative diseases.
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Yu et al. (2021) studied this question.
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