TY - JOUR
T1 - Multivariate pattern analysis of event-related potentials predicts the subjective relevance of everyday objects
AU - Turner, William Francis
AU - Johnston, Phillip
AU - de Boer, Kathleen
AU - Morawetz, Carmen
AU - Bode, Stefan
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/10
Y1 - 2017/10
N2 - Potentially decision-relevant stimuli have been proposed to undergo immediate semantic processing. The current study investigated whether information regarding the general desirability (‘Wanting’) of visually presented ‘everyday’ objects was rapidly and automatically processed. Participants completed a foreground task while their electroencephalogram (EEG) was recorded, and task-irrelevant images were presented in the background. Following this, participants rated the images with regards to Wanting and the potentially related attributes of Relevance, Familiarity, Aesthetic Pleasantness and Time Reference. Multivariate pattern classification was used to predict the ratings from patterns of EEG data. Prediction of Wanting and Relevance was possible between 100 and 150 ms following stimulus presentation. The other dimensions could not be predicted. Wanting and Relevance ratings were highly correlated and displayed similar feature weight maps. The current results suggest that the general desirability and subjective relevance of everyday objects is rapidly and automatically processed for a wide range of visual stimuli.
AB - Potentially decision-relevant stimuli have been proposed to undergo immediate semantic processing. The current study investigated whether information regarding the general desirability (‘Wanting’) of visually presented ‘everyday’ objects was rapidly and automatically processed. Participants completed a foreground task while their electroencephalogram (EEG) was recorded, and task-irrelevant images were presented in the background. Following this, participants rated the images with regards to Wanting and the potentially related attributes of Relevance, Familiarity, Aesthetic Pleasantness and Time Reference. Multivariate pattern classification was used to predict the ratings from patterns of EEG data. Prediction of Wanting and Relevance was possible between 100 and 150 ms following stimulus presentation. The other dimensions could not be predicted. Wanting and Relevance ratings were highly correlated and displayed similar feature weight maps. The current results suggest that the general desirability and subjective relevance of everyday objects is rapidly and automatically processed for a wide range of visual stimuli.
KW - Automatic stimulus processing
KW - Electroencephalography
KW - Multivariate pattern analysis
KW - Stimulus desirability
KW - Stimulus relevance
UR - http://www.scopus.com/inward/record.url?scp=85026476243&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026476243&partnerID=8YFLogxK
U2 - 10.1016/j.concog.2017.07.006
DO - 10.1016/j.concog.2017.07.006
M3 - Article
C2 - 28763679
AN - SCOPUS:85026476243
SN - 1053-8100
VL - 55
SP - 46
EP - 58
JO - Consciousness and Cognition
JF - Consciousness and Cognition
ER -