Auditory information enhances post-sensory visual evidence during rapid multisensory decision-making

被引:29
作者
Franzen, Leon [1 ,2 ]
Delis, Ioannis [3 ]
De Sousa, Gabriela [1 ]
Kayser, Christoph [4 ]
Philiastides, Marios G. [1 ]
机构
[1] Univ Glasgow, Inst Neurosci & Psychol, Glasgow, Lanark, Scotland
[2] Concordia Univ, Ctr Sensory Studies, Montreal, PQ, Canada
[3] Univ Leeds, Sch Biomed Sci, Leeds, W Yorkshire, England
[4] Bielefeld Univ, Ctr Excellence, Dept Cognit Neurosci & Cognit Interact Technol, Bielefeld, Germany
基金
英国工程与自然科学研究理事会; 欧洲研究理事会; 英国经济与社会研究理事会; 欧盟地平线“2020”;
关键词
DIFFUSION-MODEL; MOTION DISCRIMINATION; EVIDENCE ACCUMULATION; PERCEPTUAL DECISIONS; LOW-LEVEL; INTEGRATION; CORTEX; FMRI; RECOGNITION; ATTENTION;
D O I
10.1038/s41467-020-19306-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Despite recent progress in understanding multisensory decision-making, a conclusive mechanistic account of how the brain translates the relevant evidence into a decision is lacking. Specifically, it remains unclear whether perceptual improvements during rapid multisensory decisions are best explained by sensory (i.e., 'Early') processing benefits or post-sensory (i.e., 'Late') changes in decision dynamics. Here, we employ a well-established visual object categorisation task in which early sensory and post-sensory decision evidence can be dissociated using multivariate pattern analysis of the electroencephalogram (EEG). We capitalize on these distinct neural components to identify when and how complementary auditory information influences the encoding of decision-relevant visual evidence in a multisensory context. We show that it is primarily the post-sensory, rather than the early sensory, EEG component amplitudes that are being amplified during rapid audiovisual decision-making. Using a neurally informed drift diffusion model we demonstrate that a multisensory behavioral improvement in accuracy arises from an enhanced quality of the relevant decision evidence, as captured by the post-sensory EEG component, consistent with the emergence of multisensory evidence in higher-order brain areas. A conclusive account on how the brain translates audiovisual evidence into a rapid decision is still lacking. Here, using a neurally-informed modelling approach, the authors show that sounds amplify visual evidence later in the decision process, in line with higher-order multisensory effects.
引用
收藏
页数:14
相关论文
共 107 条
[51]   Auditory-driven phase reset in visual cortex: Human electrocorticography reveals mechanisms of early multisensory integration [J].
Mercier, Manuel R. ;
Foxe, John J. ;
Fiebelkorn, Ian C. ;
Butler, John S. ;
Schwartz, Theodore H. ;
Molholm, Sophie .
NEUROIMAGE, 2013, 79 :19-29
[52]   DIVIDED ATTENTION - EVIDENCE FOR CO-ACTIVATION WITH REDUNDANT SIGNALS [J].
MILLER, J .
COGNITIVE PSYCHOLOGY, 1982, 14 (02) :247-279
[53]   Grabbing your ear: Rapid auditory-somatosensory multisensory interactions in low-level sensory cortices are not constrained by stimulus alignment [J].
Murray, MM ;
Molholm, S ;
Michel, CM ;
Heslenfeld, DJ ;
Ritter, W ;
Javitt, DC ;
Schroeder, CE ;
Foxe, JJ .
CEREBRAL CORTEX, 2005, 15 (07) :963-974
[54]   Perceptual Decisions Formed by Accumulation of Audiovisual Evidence in Prefrontal Cortex [J].
Noppeney, Uta ;
Ostwald, Dirk ;
Werner, Sebastian .
JOURNAL OF NEUROSCIENCE, 2010, 30 (21) :7434-7446
[55]   How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters [J].
Nunez, Michael D. ;
Vandekerckhove, Joachim ;
Srinivasan, Ramesh .
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2017, 76 :117-130
[56]   Bridging Neural and Computational Viewpoints on Perceptual Decision-Making [J].
O'Connell, Redmond G. ;
Shadlen, Michael N. ;
Wong-Lin, KongFatt ;
Kelly, Simon P. .
TRENDS IN NEUROSCIENCES, 2018, 41 (11) :838-852
[57]   A supramodal accumulation-to-bound signal that determines perceptual decisions in humans [J].
O'Connell, Redmond G. ;
Dockree, Paul M. ;
Kelly, Simon P. .
NATURE NEUROSCIENCE, 2012, 15 (12) :1729-+
[58]   The effect of stimulus strength on the speed and accuracy of a perceptual decision [J].
Palmer, J ;
Huk, AC ;
Shadlen, MN .
JOURNAL OF VISION, 2005, 5 (05) :376-404
[59]   Recipes for the linear analysis of EEG [J].
Parra, LC ;
Spence, CD ;
Gerson, AD ;
Sajda, P .
NEUROIMAGE, 2005, 28 (02) :326-341
[60]   The drift diffusion model as the choice rule in reinforcement learning [J].
Pedersen, Mads Lund ;
Frank, Michael J. ;
Biele, Guido .
PSYCHONOMIC BULLETIN & REVIEW, 2017, 24 (04) :1234-1251