Functional brain networks underlying detection and integration of disconfirmatory evidence
Section snippets
Participants
Participants were 39 healthy volunteers (Version 1: 10 male, 10 female, mean age = 24.90, SD = 6.87; Version 2: 9 male, 10 female, mean age = 26.84, SD = 7.34), most of which were native English speakers (Version 1: 17 participants; Version 2: 15 participants). Non-native English speakers had been using English daily for at least the past five years and responded accurately to questions about the consent form designed to confirm their ability to read and understand English. All participants were
Results
Inspection of the scree plot of singular values (Cattell, 1966, Cattell and Vogelmann, 1977) suggested that five components should be extracted. The percentages of task-related variance accounted for by each rotated component were 10.88%, 10.43%, 9.00%, 7.64%, and 6.20%, for Components 1 to 5, respectively. For Component 3,1
Discussion
In the current study we used multivariate methodology on two datasets in an attempt to link two sequential cognitive stages involved in integrating disconfirmatory evidence to distinct functional brain networks. Three functional networks showed greater intensity (i.e., increased activations and/or increased deactivations) during integration of disconfirmatory relative to confirmatory evidence for both experiment versions. In order of peak timing (see Figs. 5B, 4B, and 2B, respectively), these
Acknowledgments
This project was supported by a Scholar Award from the Michael Smith Foundation for Health Research (MSFHR; CI-SCH-00073), a New Investigator Award from the Canadian Institutes of Health Research (CIHR; MMS8770) to TSW, as well as CIHR Doctoral Research Awards for KML (DSZ-128637) and PDM (DPO-128616). Operating costs were supported by a grant to TSW from the British Columbia Schizophrenia Society (BCSS; formerly Mind Foundation of BC). The authors acknowledge the UBC High Field Magnetic
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