Determination of hemispheric emotional valence in individual subjects: A new approach with research and therapeutic implications

Abstract

Background: Much has been theorized about the emotional properties of the hemispheres. Our review of the dominant hypotheses put forth by Schore, Joseph, Davidson, and Harmon-Jones on hemispheric emotional valences (HEV) shows that none are supported by robust data. Instead, we propose that individual's hemispheres are organized to have differing HEVs that can be lateralized in either direction.

White Matter Disruptions in Adolescents Exposed to Childhood Maltreatment and Vulnerability to Psychopathology

“…In contrast to our finding of CGH-R disruption in the maltreated group, another study found reduced FA in the left fusiform gyrus (with projections from cingulum to the posterior tail of the hippocampus) in young adults exposed to parental verbal abuse (Choi et al, 2009). These differences might be attributed to population differences as individual differences exist in hemispheric emotional valence (Schiffer et al, 2007). IFO connects inferior-lateral and dorsolateral frontal cortex with posterior temporal cortex and occipital lobe, and it is involved in emotional visual function.…”

Emotion Interaction with Virtual Reality Using Hybrid Emotion Classification Technique toward Brain Signals

“…Then the computed value for each channel will compared in order to check which brain hemisphere is more active. Based on previous researches that have been done by [58] [59] [56] [57] and [60], the high computed Mean value positively correlated with the more active hemisphere. After computing the mean value for each T7 & T8 pair channel, the difference between each Mean is computed.…”

“…In [55], the experiment of which was to stimulate two classes of emotion of happiness and sadness through the audio-visual stimuli, they stated that the brain activity of left hemisphere recorded a high increase markedly compared with negative emotions. [56] and [57] recognized and classified human emotion based on brain hemisphere activity variance, they determined a new approach for emotion classification based on brain hemisphere activity. Figure 11 illustrates the variance between left frontal lobe and right frontal lobe.…”

“…face [12]. [8] and [9] have recognized and classified human emotion based on brain activity and hemisphere variance, they determined a new approach for emotion classification based on brain hemisphere activity. According to [1] [14] [15] and [16] each induced emotion is directly linked with both right and left hemispheres that result emotion, a negative evoked emotion comes when more active on right frontal lobe meanwhile a positive evoked emotion produces when more active left frontal lobe.…”

“…[4] [5] [6] classified human emotion based on EEG signals along with arousal valence dimension model, they classified eight emotions toward with emotional model. [7] achieved the highest classification rate using emotion self-assessment classification technique, meanwhile, [8] and [9] have recognized and classified human emotion based on brain hemisphere activity variance, they determined a new approach for emotion classification based on brain hemisphere activity. This use of interaction technology opens new promising trends in virtual world, entertainment and educational areas.…”