Literature DB >> 29717524

Oscillatory EEG signatures of postponed somatosensory decisions.

Simon Ludwig1, Jan Herding1,2, Felix Blankenburg1,2.   

Abstract

In recent electroencephalography (EEG) studies, the vibrotactile frequency comparison task has been used to study oscillatory signatures of perceptual decision making in humans, revealing a choice-selective modulation of premotor upper beta band power shortly before decisions were reported. Importantly, these studies focused on decisions that were (1) indicated immediately after stimulus presentation, and (2) for which a direct motor mapping was provided. Here, we investigated whether the putative beta band choice signal also extends to postponed decisions, and how such a decision signal might be influenced by a response mapping that is dissociated from a specific motor command. We recorded EEG data in two separate experiments, both employing the vibrotactile frequency comparison task with delayed decision reports. In the first experiment, delayed choices were associated with a fixed motor mapping, whereas in the second experiment, choices were mapped onto a color code concealing a specific motor response until the end of the delay phase. In between stimulus presentations, as well as after the second stimulus, prefrontal beta band power indexed stimulus information held in working memory. Beta band power also encoded choices during the response delay, notably, in different cortical areas depending on the provided response mapping. In particular, when decisions were associated with a specific motor mapping, choices were represented in premotor cortices, whereas the color mapping resulted in a choice-selective modulation of beta band power in parietal cortices. Together, our findings imply that how a choice is expressed (i.e., the decision consequence) determines where in the cortical sensorimotor hierarchy an according decision signal is processed.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  beta band; decision making; delayed decisions; intentional decisions; intentional framework; perceptual; response context; somatosensory; vibrotactile; working memory

Mesh:

Year:  2018        PMID: 29717524      PMCID: PMC6866617          DOI: 10.1002/hbm.24198

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  60 in total

1.  Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli.

Authors:  E Salinas; A Hernandez; A Zainos; R Romo
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

2.  Temporal evolution of a decision-making process in medial premotor cortex.

Authors:  Adrián Hernández; Antonio Zainos; Ranulfo Romo
Journal:  Neuron       Date:  2002-03-14       Impact factor: 17.173

3.  Oscillatory correlates of vibrotactile frequency processing in human working memory.

Authors:  Bernhard Spitzer; Evelin Wacker; Felix Blankenburg
Journal:  J Neurosci       Date:  2010-03-24       Impact factor: 6.167

4.  Multiple sparse priors for the M/EEG inverse problem.

Authors:  Karl Friston; Lee Harrison; Jean Daunizeau; Stefan Kiebel; Christophe Phillips; Nelson Trujillo-Barreto; Richard Henson; Guillaume Flandin; Jérémie Mattout
Journal:  Neuroimage       Date:  2007-10-10       Impact factor: 6.556

5.  Beta oscillations in the monkey sensorimotor network reflect somatosensory decision making.

Authors:  Saskia Haegens; Verónica Nácher; Adrián Hernández; Rogelio Luna; Ole Jensen; Ranulfo Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-13       Impact factor: 11.205

6.  A method for the calculation of induced band power: implications for the significance of brain oscillations.

Authors:  W Klimesch; H Russegger; M Doppelmayr; T Pachinger
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1998-03

7.  Supramodal parametric working memory processing in humans.

Authors:  Bernhard Spitzer; Felix Blankenburg
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

8.  EEG and MEG data analysis in SPM8.

Authors:  Vladimir Litvak; Jérémie Mattout; Stefan Kiebel; Christophe Phillips; Richard Henson; James Kilner; Gareth Barnes; Robert Oostenveld; Jean Daunizeau; Guillaume Flandin; Will Penny; Karl Friston
Journal:  Comput Intell Neurosci       Date:  2011-03-06

9.  Bayesian inference underlies the contraction bias in delayed comparison tasks.

Authors:  Paymon Ashourian; Yonatan Loewenstein
Journal:  PLoS One       Date:  2011-05-12       Impact factor: 3.240

10.  Electromagnetic source reconstruction for group studies.

Authors:  Vladimir Litvak; Karl Friston
Journal:  Neuroimage       Date:  2008-06-27       Impact factor: 6.556

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  1 in total

1.  Oscillatory EEG signatures of postponed somatosensory decisions.

Authors:  Simon Ludwig; Jan Herding; Felix Blankenburg
Journal:  Hum Brain Mapp       Date:  2018-05-02       Impact factor: 5.038

  1 in total

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