Wearable EEG Headbands for Diagnosis of Cognitive Impairment

14th March 2024

Timing : 11:30 am EST

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For a list of all talks at the NanoBio seminar Series Spring'24, see here

With millions of people currently affected by Alzheimer's disease (AD) and projected to triple within the next two decades worldwide, biomarkers of AD are sought after for early diagnosis and clinical trial outcome evaluations. Biomarkers of mild cognitive impairment (MCI), which precedes AD in one-third of MCI subjects, are also of interest. Electroencephalography (EEG)-based biomarkers receive attention because they are noninvasive and easily accessible; however, a thorough assessment of EEG regarding dementia is still required. In this talk, I will discuss a software package to extract forty-one EEG features and examine the relationship between EEG features and memory. I will show you evidence for reduced EEG signal complexity in AD using two AD datasets (N = 184) and one with MCI (N = 60). While the amplitude of low-frequency theta oscillations is enhanced, their overall connectivity is reduced in AD. MCI shows enhanced amplitude and connectivity at gamma. Our findings indicate that the alterations in neural oscillatory signatures are non-continuum from MCI, at the group level, to AD, suggesting a complex relationship between MCI and AD. The energy and connectivity of theta (for AD) and gamma (for MCI) could be biomarkers for diagnostic confirmation and clinical trial outcome efficacy testing, and they could also be a target for the brain stimulation approach.