1. relationship between fMRI activation and distinct emotions use MVPC to map dimensional or categorical models
2. Decoding Emotional Perception
2.1. use BOLD activation patterns
2.2. facial, vocal, and gestural expressions
2.2.1. motivating behavior and social communication (Adolphs, 2002)
2.3. facial expressions
2.3.1. Moore, Engell, Todorov, & Haxby, 201
2.3.1.1. regions :
2.3.1.1.1. frontal operculum
2.3.1.1.2. ant& post aspects of STS
2.3.2. Pessoa & Padmala, 2007
2.3.2.1. faces with happy, neutral, and fearful facial expressions / subliminal durations (33 or 67 ms)
2.3.2.2. neutral face masks
2.3.2.2.1. fearful face?
2.3.2.3. Aim: fMRI activation could predict the response?
2.3.2.3.1. mental state of perceived fear
2.3.2.4. 2005
2.3.2.4.1. more regions: increasing accuracy
2.3.2.4.2. Information contributed by the amygdala
2.3.3. Open area of research
2.3.3.1. response patterns are similar to prototypical expressions?
2.4. human vocalizations
2.4.1. categorical specificity of fMRI activation patterns
2.4.2. Studies
2.4.2.1. Ethofer, van De Ville, Scherer, & Vuilleumier, 2009
2.4.2.1.1. Region:Voice sensitive regions of auditory cortex