The impact of EEG electrode density on the mapping of cortical activity networks in infants.

Abstract

Electroencephalography (EEG) is widely used for assessing infant's brain activity, and multi-channel recordings support studies on cortical activity networks. Here, we aimed to assess how the number of recording electrodes affect the quality and level of details accessible in studying infant's cortical networks. Dense array EEG recordings with 124 channels from N=20 infants were used as the reference, and lower electrode numbers were subsampled to simulate recording setups with 63, 31, and 19 electrodes, respectively. Cortical activity networks were computed for each recording setup, and cortical activity networks were computed for different frequencies using amplitude and phase correlation measures. Effects of recording setup were systematically assessed on global network features at nodal and edge levels. Compared to the reference 124-channel recording setup, lowering electrode density affected network measures in a modality- and frequency-specific manner. The global network features were essentially comparable with 63 or 31 channels. However, the analytic reliability of network measures, both at nodal and edge levels, was proportional to the electrode density. The low-frequency amplitude correlations were most robust to the number of recording electrodes, whereas higher frequency phase correlation networks were most sensitive to the density of recording electrodes. Our findings suggest strong and predictable effects of recording setup on the network analyses. Higher electrode number supports studies on networks with phase correlations, higher frequency, and higher spatial details. The relationship between recording setup and reliability of network analyses is essential for the prospective design of research data collection, as well as for guiding analytic strategies when using already collected EEG data from infants.