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ABSTRACT: Introduction
The diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysis
This study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiologi
SUBMITTER: Grassler B
PROVIDER: S-EPMC8154928 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature