Lichan Liu

TL;DR: It is found that faces evoked different MEG responses as a function of task demands, i.e., the activations recorded during facial emotion recognition were different from those recorded during simple face recognition in the control task.

TL;DR: The tomographic localization of activity within human primary visual cortex (striate cortex or V1) was examined using whole-head magnetoencephalography (MEG) and 4-T functional magnetic resonance imaging (fMRI) in four subjects.

TL;DR: This review evaluates how a connectivity-based approach has generated new understanding of structural-functional relationships that characterise complex systems and proposes a ‘common toolbox’ underpinned by network-based approaches that can advance connectivity studies by overcoming existing constraints.

TL;DR: Results are presented of the detailed single trial analysis for the subject recorded from the whole head system and emphasis is placed on the quantification of the activity from two ROIs, fusiform gyrus (FG) and amygdala (AM), which have been best studied in the context of processing of faces and facial expressions of emotion.

TL;DR: The magnetoencephalography signal was recorded while subjects watched a video containing separate blocks of affective and cognitive advertisements and recalled slides extracted from the video a day later to extract tomographic estimates of activity millisecond by millisecond from the continuous MEG signal.