0000000000451953
AUTHOR
Xueyan Li
The Applications of Cognitive Mechanism of Verbal Humour to the Adjustment of Depressive Mood
Aims: To apply the findings of neurolinguistic research to the practical technological artifact design, the cognitive mechanism of verbal humour is comprehensively investigated and designed with EEG-based Brain Computer interfaces and Mobile Health, under the guidance of technology design theory, to help with the adjustment of depressive mood. Application Base: The intervention effect of verbal humour on depressive mood is rooted in their cognitive mechanisms. The right hemisphere of the brain has a dominant effect on both verbal humour and depressive mood; some specific brain regions, such as amygdala, nucleus accumbens, hippocampus etc., are particularly activated during the processing of…
Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials
Evoked event-related oscillations (EROs) have been widely used to explore the mechanisms of brain activities for both normal people and neuropsychiatric disease patients. In most previous studies, the calculation of the regions of evoked EROs of interest is commonly based on a predefined time window and a frequency range given by the experimenter, which tends to be subjective. Additionally, evoked EROs sometimes cannot be fully extracted using the conventional time-frequency analysis (TFA) because they may be overlapped with each other or with artifacts in time, frequency, and space domains. To further investigate the related neuronal processes, a novel approach was proposed including three…
Negative and Positive Bias for Emotional Faces: Evidence from the Attention and Working Memory Paradigms
Visual attention and visual working memory (VWM) are two major cognitive functions in humans, and they have much in common. A growing body of research has investigated the effect of emotional information on visual attention and VWM. Interestingly, contradictory findings have supported both a negative bias and a positive bias toward emotional faces (e.g., angry faces or happy faces) in the attention and VWM fields. We found that the classical paradigms—that is, the visual search paradigm in attention and the change detection paradigm in VWM—are considerably similar. The settings of these paradigms could therefore be responsible for the contradictory results. In this paper, we compare previou…
Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject.
Background: Temporal principal component analysis (tPCA) has been widely used to extract event-related potentials (ERPs) at group level of multiple subjects ERP data and it assumes that the underlying factor loading is fixed across participants. However, such assumption may fail to work if latency and phase for one ERP vary considerably across participants. Furthermore, effect of number of trials on tPCA decomposition has not been systematically examined as well, especially for within-subject PCA. New method: We reanalyzed a real ERP data of an emotional experiment using tPCA to extract N2 and P2 from single-trial EEG of an individual. We also explored influence of the number of trials (con…
Decoding brain activities of literary metaphor comprehension: An event-related potential and EEG spectral analysis
Novel metaphors in literary texts (hereinafter referred to as literary metaphors) seem to be more creative and open-ended in meaning than metaphors in non-literary texts (non-literary metaphors). However, some disagreement still exists on how literary metaphors differ from non-literary metaphors. Therefore, this study explored the neural mechanisms of literary metaphors extracted from modern Chinese poetry by using the methods of Event-Related Potentials (ERPs) and Event-Related Spectral Perturbations (ERSPs), as compared with non-literary conventional metaphors and literal expressions outside literary texts. Forty-eight subjects were recruited to make the semantic relatedness judgment afte…
Haha moments : applying brain research to technology design
Mood problems are very damaging and far-reaching, affecting millions of people worldwide. More attempts should have been made by design researchers to form innovative and feasible design concepts, against current technological background, to produce practical technical artifacts to solve the issue. This monograph focuses on Design Science research and its collaboration with Neuroscience to seek ways to help people with negative moods, depression in particular. Humor, exerting positive influences on both physical and mental health and impacting every aspect concerning social interactions, is worth investigating. Studies on the cognitive processing mechanism of humor appreciation provide know…