Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks

Non-stationary Group-Level Connectivity Analysis for Enhanced Interpretability of Oddball Tasks

“…Intending to perform analyses with enhanced physiological interpretation, auditory, and visual oddball tasks are often employed to identify perceptual differences, providing a more profound understanding of applications like attention and memory tasks (Kiat et al, 2018), affective computing, motor imagery, as well as in media and information literacy (Schaadt et al, 2013). However, because of limitations of data acquisition and analysis, an open issue in interpreting ERP responses concerns the confidently assessment of the brain networks that may reflect the differential contribution of deviant stimuli, as it requires more cognitive resources than the processing of standard stimuli (Schlüter and Bermeitinger, 2017;Hurtado-Rincón et al, 2018).…”

“…Nevertheless, the amplitudes of spontaneous fluctuations in brain activity may be an essential source of within-subject and between-subject variability that is likely to be carried through into connectivity estimates (directly or indirectly) (Bijsterbosch et al, 2018). For enhancing the discriminant ability between bi-class stimuli, one should consider the inclusion of label sets in the hypothesis rule to estimate the statistical difference between the target and nontarget data (Hurtado-Rincón et al, 2018). In functional brain network research, however, an open challenge is the selection of appropriate edge reduction to detect the time-varying changes in brain activity, mostly addressing sources of inter-subject and inter-trial variance of EEG recordings (Thilaga et al, 2015).…”