Neural correlates of confidence during decision formation in a perceptual judgment task

被引:1
作者
Ko, Yiu Hong [1 ,2 ,3 ]
Zhou, Andong [1 ]
Niessen, Eva [3 ]
Stahl, Jutta [3 ]
Weiss, Peter H. [2 ,4 ,5 ]
Hester, Robert [1 ]
Bode, Stefan [1 ]
Feuerriegel, Daniel [1 ,6 ]
机构
[1] Univ Melbourne, Melbourne Sch Psychol Sci, Melbourne, Australia
[2] Res Ctr Julich, Inst Neurosci & Med INM 3, Cognit Neurosci, Julich, Germany
[3] Univ Cologne, Fac Human Sci, Dept Psychol, Cologne, Germany
[4] Univ Hosp Cologne, Dept Neurol, Cologne, Germany
[5] Univ Cologne, Fac Med, Cologne, Germany
[6] Univ Melbourne, Melbourne Sch Psychol Sci, Redmond Barry Bldg, Melbourne 3010, Australia
基金
澳大利亚研究理事会;
关键词
EEG; Decision making; Confidence; CPP; Pe; SIGNAL-DETECTION; PARAMETER RECOVERY; ERP COMPONENTS; RESPONSE-TIME; POTENTIALS; CHOICE; ERRORS; ACCUMULATION; CERTAINTY; FRAMEWORK;
D O I
10.1016/j.cortex.2024.01.006
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
When we make a decision, we also estimate the probability that our choice is correct or accurate. This probability estimate is termed our degree of decision confidence. Recent work has reported event -related potential (ERP) correlates of confidence both during decision formation (the centro-parietal positivity component; CPP) and after a decision has been made (the error positivity component; Pe). However, there are several measurement confounds that complicate the interpretation of these findings. More recent studies that overcome these issues have so far produced conflicting results. To better characterise the ERP correlates of confidence we presented participants with a comparative brightness judgment task while recording electroencephalography. Participants judged which of two flickering squares (varying in luminance over time) was brighter on average. Participants then gave confidence ratings ranging from "surely incorrect" to "surely correct". To elicit a range of confidence ratings we manipulated both the mean luminance difference between the brighter and darker squares (relative evidence) and the overall luminance of both squares (absolute evidence). We found larger CPP amplitudes in trials with higher confidence ratings. This association was not simply a by-product of differences in relative evidence (which covaries with confidence) across trials. We did not identify postdecisional ERP correlates of confidence, except when they were artificially produced by pre -response ERP baselines. These results provide further evidence for neural correlates of processes that inform confidence judgments during decision formation. (c) 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:248 / 262
页数:15
相关论文
共 87 条
[1]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[2]   Shared Neural Markers of Decision Confidence and Error Detection [J].
Boldt, Annika ;
Yeung, Nick .
JOURNAL OF NEUROSCIENCE, 2015, 35 (08) :3478-3484
[3]   The psychophysics toolbox [J].
Brainard, DH .
SPATIAL VISION, 1997, 10 (04) :433-436
[4]   Reduced premovement positivity during the stimulus-response interval precedes errors: Using single-trial and regression ERPs to understand performance deficits in ADHD [J].
Burwell, Scott J. ;
Makeig, Scott ;
Iacono, William G. ;
Malone, Stephen M. .
PSYCHOPHYSIOLOGY, 2019, 56 (09)
[5]   Accounts of the confidence-accuracy relation in recognition memory [J].
Busey, TA ;
Tunnicliff, J ;
Loftus, GR ;
Loftus, EF .
PSYCHONOMIC BULLETIN & REVIEW, 2000, 7 (01) :26-48
[6]   Distinct brain mechanisms for conscious versus subliminal error detection [J].
Charles, Lucie ;
Van Opstal, Filip ;
Marti, Sebastien ;
Dehaene, Stanislas .
NEUROIMAGE, 2013, 73 :80-94
[7]   A practical guide to the selection of independent components of the electroencephalogram for artifact correction [J].
Chaumon, Maximilien ;
Bishop, Dorothy V. M. ;
Busch, Niko A. .
JOURNAL OF NEUROSCIENCE METHODS, 2015, 250 :47-63
[8]   On the statistical and theoretical basis of signal detection theory and extensions: Unequal variance, random coefficient, and mixture models [J].
DeCarlo, Lawrence T. .
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2010, 54 (03) :304-313
[9]   EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis [J].
Delorme, A ;
Makeig, S .
JOURNAL OF NEUROSCIENCE METHODS, 2004, 134 (01) :9-21
[10]   Understanding neural signals of post-decisional performance monitoring: An integrative review [J].
Desender, Kobe ;
Ridderinkhof, K. Richard ;
Murphy, Peter R. .
ELIFE, 2021, 10