Multimodal neuroimaging discrimination of Alzheimer’s disease, mild cognitive impairment, and late-life depression using electroencephalography and functional near-infrared spectroscopy: integrating electrophysiological and hemodynamic biomarkers

Key Points

Distinct EEG spectral patterns indicate differences among Alzheimer's disease, mild cognitive impairment, and late-life depression.
Specifically, variations in alpha and high-gamma oscillations serve as potential biomarkers.
Combining electroencephalography and functional near-infrared spectroscopy may reveal deeper neurophysiological mechanisms.
The implications could enhance diagnostic accuracy, paving the way for tailored treatment strategies.

Abstract

These findings highlight distinct EEG spectral patterns in patients with LLD compared to those with AD or MCI, particularly in alpha and high-gamma oscillations. These differences could be potential biomarkers for differentiating these conditions. Combining EEG and fNIRS analyses may further elucidate the neurophysiological mechanisms underlying these disorders.

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Cite This Study

Mei et al. (Fri,) studied this question.

synapsesocial.com/papers/69a76746badf0bb9e87e0401 https://doi.org/https://doi.org/10.3389/fnagi.2026.1713472

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