Literature DB >> 19413475

Prior Information biases stimulus representations during vibrotactile decision making.

Claudia Preuschhof1, Torsten Schubert, Arno Villringer, Hauke R Heekeren.   

Abstract

Neurophysiological data suggest that the integration of prior information and incoming sensory evidence represents the neural basis of the decision-making process. Here, we aimed to identify the brain structures involved in the integration of prior information about the average magnitude of a stimulus set and current sensory evidence. Specifically, we investigated whether prior average information already biases vibrotactile decision making during stimulus perception and maintenance before the comparison process. For this purpose, we used a vibrotactile delayed discrimination task and fMRI. At the behavioral level, participants showed the time-order effect. This psychophysical phenomenon has been shown to result from the influence of prior information on the perception of and the memory for currently presented stimuli. Similarly, the fMRI signal reflected the integration of prior information about the average vibration frequency and the currently presented vibration frequency. During stimulus encoding, the fMRI signal in primary and secondary somatosensory (S2) cortex, thalamus, and ventral premotor cortex mirrored an integration process. During stimulus maintenance, only a region in the intraparietal sulcus showed this modulation by prior average information. Importantly, the fMRI signal in S2 and intraparietal sulcus correlated with individual differences in the degree to which participants integrated prior average information. This strongly suggests that these two regions play a pivotal role in the integration process. Taken together, these results support the notion that the integration of current sensory and prior average information is a major feature of how the human brain perceives, remembers, and judges magnitude stimuli.

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Year:  2010        PMID: 19413475     DOI: 10.1162/jocn.2009.21260

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  18 in total

1.  Decoding vibrotactile choice independent of stimulus order and saccade selection during sequential comparisons.

Authors:  Yuan-Hao Wu; Lisa A Velenosi; Pia Schröder; Simon Ludwig; Felix Blankenburg
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2.  Bias in the brain: a diffusion model analysis of prior probability and potential payoff.

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Journal:  J Neurosci       Date:  2012-02-15       Impact factor: 6.167

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Authors:  L Schilbach; S B Eickhoff; T Schultze; A Mojzisch; K Vogeley
Journal:  Soc Neurosci       Date:  2013-03-13       Impact factor: 2.083

4.  Posterior parietal cortex represents sensory history and mediates its effects on behaviour.

Authors:  Athena Akrami; Charles D Kopec; Mathew E Diamond; Carlos D Brody
Journal:  Nature       Date:  2018-02-07       Impact factor: 49.962

5.  Economic value biases uncertain perceptual choices in the parietal and prefrontal cortices.

Authors:  Christopher Summerfield; Etienne Koechlin
Journal:  Front Hum Neurosci       Date:  2010-11-17       Impact factor: 3.169

6.  Prior and present evidence: how prior experience interacts with present information in a perceptual decision making task.

Authors:  Muhsin Karim; Justin A Harris; John W Morley; Michael Breakspear
Journal:  PLoS One       Date:  2012-05-29       Impact factor: 3.240

7.  Representation of visual numerosity information during working memory in humans: An fMRI decoding study.

Authors:  Ian Morgan Leo Pennock; Timo Torsten Schmidt; Dilara Zorbek; Felix Blankenburg
Journal:  Hum Brain Mapp       Date:  2021-03-11       Impact factor: 5.038

8.  The speed and accuracy of perceptual decisions in a random-tone pitch task.

Authors:  Martijn J Mulder; Max C Keuken; Leendert van Maanen; Wouter Boekel; Birte U Forstmann; Eric-Jan Wagenmakers
Journal:  Atten Percept Psychophys       Date:  2013-07       Impact factor: 2.199

9.  How recent history affects perception: the normative approach and its heuristic approximation.

Authors:  Ofri Raviv; Merav Ahissar; Yonatan Loewenstein
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

10.  A Computational Model of Implicit Memory Captures Dyslexics' Perceptual Deficits.

Authors:  Sagi Jaffe-Dax; Ofri Raviv; Nori Jacoby; Yonatan Loewenstein; Merav Ahissar
Journal:  J Neurosci       Date:  2015-09-02       Impact factor: 6.167

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