“…Recent studies have found the amygdala activation among anorexia nervosa patients and healthy women in response to their own fat-image (Miyake et al, 2010), with significantly more right amygdala activation in ED patients than controls during the presentation of negative body image words (Miyake et al, 2010) but not positive body words (Redgrave et al, 2008). On this basis, we suggested that fat body words were quickly analyzed by the orbitofrontal cortex, which could modulate extrastriate activity through the amygdala as part of a top-down alerting mechanism that aims to generate rapid responses to potentially threatening stimuli (Santos et al, 2008).…”
Section: Negative Bias Toward Fatness-related Words During Early Procmentioning
“…Recent studies have found the amygdala activation among anorexia nervosa patients and healthy women in response to their own fat-image (Miyake et al, 2010), with significantly more right amygdala activation in ED patients than controls during the presentation of negative body image words (Miyake et al, 2010) but not positive body words (Redgrave et al, 2008). On this basis, we suggested that fat body words were quickly analyzed by the orbitofrontal cortex, which could modulate extrastriate activity through the amygdala as part of a top-down alerting mechanism that aims to generate rapid responses to potentially threatening stimuli (Santos et al, 2008).…”
Section: Negative Bias Toward Fatness-related Words During Early Procmentioning
“…The data set analyzed comprises 32 sessions (two sessions per participant) with roughly 250 trials per session. Experimental protocol and data acquisition are fully described in [15]. The stimulus consisted of overlapping pictures of faces and houses.…”
“…The participant's task was to determine, during each trial, if the relevant stimulus (house or face, depending on the condition) had the same identity as the relevant stimulus presented on the previous trial, i.e., if it was the same house or the same person. Disregarding any eventual differences between conditions, early potentials like the famous P100 response amplitude are clearly visible in ensemble averages, mostly in occipital derivations [15].…”
Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters. The number of filters is determined by the embedding dimension. We propose to explicitly define the frequency response of each filter responsible for the selection of informative components. We also introduce a subspace distance measure for clustering subspace models. We illustrate the methodology by analyzing Electroencephalograms (EEG).
“…A differentiation between negative and positive schematic facial expressions occurred as early as 100 ms following stimulus onset and was associated with different scalp topographies (Eger et al, 2003). In other studies, N170 amplitudes and latencies were found to vary according to emotion condition (Batty and Taylor, 2003), and fearful facial expressions modulated event-related potentials earlier than disgusted expressions (Santos et al, 2008). Since these studies addressed emotion recognition, however, future research is needed to elucidate time-based activation differences in the realm of affective experience.…”
Section: Rethinking Specificity: Localized Systemic and Temporal Spmentioning
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