“…Within-group analysis revealed a higher Р100 amplitude for angry facial expressions compared to other expressions in the PA subjects. This result is not entirely consistent with some previous fi ndings where an enhanced response to fearful facial stimuli served as a marker of panic disorder [7]. The increased focus on angry facial expressions in the PA individuals may be due to being in the early stages of panic disorder or having high trait anxiety scores [8].…”
The study aimed to examine the behavioral and neural correlates of facial emotion recognition in a non-clinical group of 13 young female students with single Panic Attacks (PA) compared to 14 matched healthy controls. Subjects were asked to recognize angry, fearful, happy, disgusted, sad and surprised faces, and reaction time and Event-Related Potentials (ERPs) were recorded. Significant between-group differences in reaction time were not found, but the PA subjects reacted more slowly to angry and fearful expressions. More distinct between-group differences were observed in the EPRs: the PA subjects demonstrated increased amplitudes of the P100 components in the occipital area. The increased amplitude of the occipital P100 component for threat-related faces suggests that this type of high-arousal negative emotions is particularly meaningful for the PA individuals.
“…Within-group analysis revealed a higher Р100 amplitude for angry facial expressions compared to other expressions in the PA subjects. This result is not entirely consistent with some previous fi ndings where an enhanced response to fearful facial stimuli served as a marker of panic disorder [7]. The increased focus on angry facial expressions in the PA individuals may be due to being in the early stages of panic disorder or having high trait anxiety scores [8].…”
The study aimed to examine the behavioral and neural correlates of facial emotion recognition in a non-clinical group of 13 young female students with single Panic Attacks (PA) compared to 14 matched healthy controls. Subjects were asked to recognize angry, fearful, happy, disgusted, sad and surprised faces, and reaction time and Event-Related Potentials (ERPs) were recorded. Significant between-group differences in reaction time were not found, but the PA subjects reacted more slowly to angry and fearful expressions. More distinct between-group differences were observed in the EPRs: the PA subjects demonstrated increased amplitudes of the P100 components in the occipital area. The increased amplitude of the occipital P100 component for threat-related faces suggests that this type of high-arousal negative emotions is particularly meaningful for the PA individuals.
“…Minimum and maximum peaks (and latencies) were extracted for the following ERP components: P100 (50–150 ms; P7 and P8), N170 (120–220 ms; P7 and P8) and P300 (300–450 ms; F3, FZ and F4). These time ranges and channel selections (as well as reference and ground electrode choices) were based on prior usage (Izurieta Hidalgo et al ., ; Shim et al ., ).…”
The temporoparietal junction (TPJ) is implicated in mental and emotional state attribution, processes associated with autism-relevant traits. Transcranial direct current stimulation (tDCS) to the TPJ can influence social-cognitive performance. However, associations with electrophysiology and autism-relevant traits remain relatively unexamined. This study had two aims: first, exploring links between Autism-Spectrum Quotient (AQ) scores and social-cognitive performance; second, examining interactions between AQ scores and high-definition-tDCS (HD-tDCS) applied to the right TPJ in terms of mental/emotional state attribution and neurophysiological outcomes. Fifty-three participants completed mental/emotional state attribution tasks before and after HD-tDCS. Pre-stimulation mental state attribution accuracy was reduced in participants with higher AQ Switching scores. Cathodal stimulation was associated with reduced emotion attribution performance in participants with higher AQ Switching and AQ Social scores (the latter at trend-level). Anodal stimulation more frequently interacted with AQ Social scores in terms of neurophysiology, in particular regarding reduced delta power in the left compared to right TPJ, and trend-level positive interactions with P100 and P300 latencies during the emotion recognition task. Elements of attention/switching (AQ Switching) may subserve or underpin elements of social cognition (AQ Social), and cathodal and anodal stimulation may have differing effects depending on trait levels in these domains. This study makes an important and original contribution in terms of increasing understanding of how such trait-level variation might interact with the effects of tDCS and also extending previous studies with regard to understanding potential roles of the rTPJ in both attention and social cognition and how autism-relevant traits might influence TPJ function.
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