Publication date: 1 January 2019
Source: NeuroImage, Volume 184
Author(s): Camillo Porcaro, Joshua Henk Balsters, Dante Mantini, Ian H. Robertson, Nicole Wenderoth
Abstract
With the greying population, it is increasingly necessary to establish robust and individualized markers of cognitive decline. This requires the combination of well-established neural mechanisms, and the development of increasingly sensitive methodologies. The P300 event-related potential (ERP) has been one of the most heavily investigated neural markers of attention and cognition, and studies have reliably shown that changes in the amplitude and latency of the P300 ERP index the process of aging. However, it is still not clear whether either the P3a or P3b sub-components additionally index levels of cognitive impairment. Here, we used a traditional visual three-stimulus oddball paradigm to investigate both the P3a and P3b ERP components in sixteen young and thirty-four healthy elderly individuals with varying degrees of cognitive ability. EEG data extraction was enhanced through the use of a novel signal processing method called Functional Source Separation (FSS) that increases signal-to-noise ratio by using a weighted sum of all electrodes rather than relying on a single, or a small sub-set, of EEG channels. Whilst clear differences in both the P3a and P3b ERPs were seen between young and elderly groups, only P3b amplitude differentiated older people with low memory performance relative to IQ from those with consistent memory and IQ. A machine learning analysis showed that P3b amplitude (derived from FSS analysis) could accurately categorise high and low performing elderly individuals (78% accuracy). A comparison of Bayes Factors found that differences in cognitive decline within the elderly group were 87 times more likely to be detected using FSS compared to the best performing single electrode (Cz). In conclusion, we propose that P3b amplitude could be a sensitive marker of early, age-independent, episodic memory dysfunction within a healthy older population. In addition, we advocate for the use of more advanced signal processing methods, such as FSS, for detecting subtle neural changes in clinical populations.
Graphical abstract
Topographic and functional behaviours differences between P3a and P3b: a comparison between channels and source space.
ERPs and topographic maps for the three groups (Young vs. HP vs. LP) on Cz and Fz channels and FSP300. Top Panel (Functional Source Space) – Blue, magenta and red lines indicate FSP3a and green, cyan and brown lines indicate FSP3b for Young, HP and LP groups respectively. Last right column represents the superimposition of the P3a and P3b in the three groups. Bottom Panel (Channel Space) – Grey lines indicate the butterfly representation of all the EEG channels. Blue, magenta and red lines indicate CzP3a selected channel and green, cyan and brown lines indicate FzP3b selected channel for Young, HP and LP groups respectively. The black circle on the topographic map represent Cz and Fz channel positions.
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