2017
DOI: 10.1016/j.concog.2017.07.006
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Multivariate pattern analysis of event-related potentials predicts the subjective relevance of everyday objects

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Cited by 22 publications
(14 citation statements)
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“… 26 , 30 ), and there is further evidence that the brain automatically extracts specific image features related to decision-making even when presented as an incidental, task-irrelevant background image (e.g. 31 , 32 ). If, as suggested before 30 , obese individuals are indeed more susceptible to such primes and generalisation effects, this would point to an even greater vulnerability to undesirable decision biases, but potentially also shed light on general distorted cognitive processes in obese individuals.…”
Section: Introductionmentioning
confidence: 99%
“… 26 , 30 ), and there is further evidence that the brain automatically extracts specific image features related to decision-making even when presented as an incidental, task-irrelevant background image (e.g. 31 , 32 ). If, as suggested before 30 , obese individuals are indeed more susceptible to such primes and generalisation effects, this would point to an even greater vulnerability to undesirable decision biases, but potentially also shed light on general distorted cognitive processes in obese individuals.…”
Section: Introductionmentioning
confidence: 99%
“…MVPA is highly sensitive to information represented in the overall signal as it uses the entire spati + o-temporal pattern of ERPs across all channels as input 38 , 44 , 45 , thereby allowing for the extraction of features from the EEG that are not dependent on the identification of ERP components. We used MVPA to examine whether neural representations could predict whether a given survey item expressed populist or non-populist views for each political issue dimension.…”
Section: Resultsmentioning
confidence: 99%
“…To estimate an empirical chance distribution of results, the procedure was repeated using the same data in an identical fashion, but with success scores (labels) randomly shuffled across trials (cf. Chan, Pianta, Bode, & McKendrick, 2017;Siswandari, Bode, & Stahl, 2019;Turner, Johnston, de Boer, Morawetz, & Bode, 2017). For group-level statistical analyses, the empirical results were tested against the shuffled-label/chance results for each analysis time window.…”
Section: Multivariate Pattern Analyses Of Eeg Datamentioning
confidence: 99%