Multimodal EEG Recordings, Psychometrics and Behavioural Analysis

Abstract

High spatial and temporal resolution measurements of neuronal activity are preferably combined. In an overview on how this approach can take shape, multimodal electroencephalography (EEG) is treated in 2 main parts: by experiments without a task and in the experimentally cued working brain. It concentrates first on the alpha rhythm properties and next on data-driven search for patterns such as the default mode network. The high-resolution volumic distributions of neuronal metabolic indices result in distributed cortical regions and possibly relate to numerous nuclei, observable in a non-invasive manner in the central nervous system of humans. The second part deals with paradigms in which nowadays assessment of target-related networks can align level-dependent blood oxygenation, electrical responses and behaviour, taking the temporal resolution advantages of event-related potentials. Evidence-based electrical propagation in serial tasks during performance is now to a large extent attributed to interconnected pathways, particularly chronometry-dependent ones, throughout a chain including a dorsal stream, next ventral cortical areas taking the flow of information towards inferior temporal domains. The influence of aging is documented, and results of the first multimodal studies in neuropharmacology are consistent. Finally a scope on implementation of advanced clinical applications and personalized marker strategies in neuropsychiatry is indicated.

Pharmaco-EEG, Pharmaco-Sleep and EEG-Based Personalized Medicine

“…However, the rate of publication of EEG and MEG studies has continued to increase during this time, with only the publication rates of PET and SPECT imaging reducing since the introduction of fMRI [10]. Combining imaging and other techniques with pharmaco-EEG in studies can, in many cases, provide added benefit as illustrated by Boeijinga [11], who discusses multimodal approaches including imaging, pharmaco-EEG, psychometrics and behavioural analysis. Another recent development has been an interest in high-frequency gamma EEG activity in addition to the traditionally acknowledged EEG frequencies spanning the delta, theta, alpha and beta ranges.…”