Literature DB >> 28123017

Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability.

Luca Iemi1,2, Maximilien Chaumon3,2, Sébastien M Crouzet2,4,5, Niko A Busch3,2,6.   

Abstract

The brain exhibits organized fluctuations of neural activity, even in the absence of tasks or sensory input. A prominent type of such spontaneous activity is the alpha rhythm, which influences perception and interacts with other ongoing neural activity. It is currently hypothesized that states of decreased prestimulus α oscillations indicate enhanced neural excitability, resulting in improved perceptual acuity. Nevertheless, it remains debated how changes in excitability manifest at the behavioral level in perceptual tasks. We addressed this issue by comparing two alternative models describing the effect of spontaneous α power on signal detection. The first model assumes that decreased α power increases baseline excitability, amplifying the response to both signal and noise, predicting a liberal detection criterion with no effect on sensitivity. The second model predicts that decreased α power increases the trial-by-trial precision of the sensory response, resulting in improved sensitivity. We tested these models in two EEG experiments in humans where we analyzed the effects of prestimulus α power on visual detection and discrimination using a signal detection framework. Both experiments provide strong evidence that decreased α power reflects a more liberal detection criterion, rather than improved sensitivity, consistent with the baseline model. In other words, when the task requires detecting stimulus presence versus absence, reduced α oscillations make observers more likely to report the stimulus regardless of actual stimulus presence. Contrary to previous interpretations, these results suggest that states of decreased α oscillations increase the global baseline excitability of sensory systems without affecting perceptual acuity. SIGNIFICANCE STATEMENT: Spontaneous fluctuations of brain activity explain why a faint sensory stimulus is sometimes perceived and sometimes not. The prevailing view is that heightened neural excitability, indexed by decreased α oscillations, promotes better perceptual performance. Here, we provide evidence that heightened neural excitability instead reflects a state of biased perception, during which a person is more likely to see a stimulus, whether or not it is actually present. Therefore, we propose that changes in neural excitability leave the precision of sensory processing unaffected. These results establish the link between spontaneous brain activity and the variability in human perception.
Copyright © 2017 the authors 0270-6474/17/370807-13$15.00/0.

Entities:  

Keywords:  alpha rhythm; excitability; neural oscillations; perception; signal detection theory; spontaneous activity

Mesh:

Year:  2017        PMID: 28123017      PMCID: PMC6597018          DOI: 10.1523/JNEUROSCI.1432-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  66 in total

1.  Calculation of signal detection theory measures.

Authors:  H Stanislaw; N Todorov
Journal:  Behav Res Methods Instrum Comput       Date:  1999-02

2.  The case against a criterion-shift account of false memory.

Authors:  J T Wixted; V Stretch
Journal:  Psychol Rev       Date:  2000-04       Impact factor: 8.934

3.  Simultaneous EEG and fMRI of the alpha rhythm.

Authors:  Robin I Goldman; John M Stern; Jerome Engel; Mark S Cohen
Journal:  Neuroreport       Date:  2002-12-20       Impact factor: 1.837

4.  Alpha rhythm of the EEG modulates visual detection performance in humans.

Authors:  Tolgay Ergenoglu; Tamer Demiralp; Zubeyir Bayraktaroglu; Mehmet Ergen; Huseyin Beydagi; Yagiz Uresin
Journal:  Brain Res Cogn Brain Res       Date:  2004-08

5.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

6.  Prestimulus oscillations enhance psychophysical performance in humans.

Authors:  Klaus Linkenkaer-Hansen; Vadim V Nikulin; Satu Palva; Risto J Ilmoniemi; J Matias Palva
Journal:  J Neurosci       Date:  2004-11-10       Impact factor: 6.167

7.  Signal detection theory, the approach of choice: model-based and distribution-free measures and evaluation.

Authors:  Diana Eugenie Kornbrot
Journal:  Percept Psychophys       Date:  2006-04

8.  Pre- and poststimulus alpha rhythms are related to conscious visual perception: a high-resolution EEG study.

Authors:  Claudio Babiloni; Fabrizio Vecchio; Alessandro Bultrini; Gian Luca Romani; Paolo Maria Rossini
Journal:  Cereb Cortex       Date:  2005-12-28       Impact factor: 5.357

9.  Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection.

Authors:  Gregor Thut; Annika Nietzel; Stephan A Brandt; Alvaro Pascual-Leone
Journal:  J Neurosci       Date:  2006-09-13       Impact factor: 6.167

10.  Visual discrimination performance is related to decreased alpha amplitude but increased phase locking.

Authors:  Simon Hanslmayr; Wolfgang Klimesch; Paul Sauseng; Walter Gruber; Michael Doppelmayr; Roman Freunberger; Thomas Pecherstorfer
Journal:  Neurosci Lett       Date:  2004-11-30       Impact factor: 3.046

View more
  66 in total

1.  Contribution of Sensory Encoding to Measured Bias.

Authors:  Miaomiao Jin; Lindsey L Glickfeld
Journal:  J Neurosci       Date:  2019-04-23       Impact factor: 6.167

Review 2.  A neural-based account of sequential bias during perceptual judgment.

Authors:  Shen-Mou Hsu
Journal:  Psychon Bull Rev       Date:  2021-03-19

3.  Multiple mechanisms link prestimulus neural oscillations to sensory responses.

Authors:  Luca Iemi; Niko A Busch; Annamaria Laudini; Saskia Haegens; Jason Samaha; Arno Villringer; Vadim V Nikulin
Journal:  Elife       Date:  2019-06-12       Impact factor: 8.140

4.  Frequency modulation of neural oscillations according to visual task demands.

Authors:  Andreas Wutz; David Melcher; Jason Samaha
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

5.  Prestimulus EEG Power Predicts Conscious Awareness But Not Objective Visual Performance.

Authors:  Christopher S Y Benwell; Chiara F Tagliabue; Domenica Veniero; Roberto Cecere; Silvia Savazzi; Gregor Thut
Journal:  eNeuro       Date:  2017-12-12

Review 6.  The role of alpha oscillations in spatial attention: limited evidence for a suppression account.

Authors:  Joshua J Foster; Edward Awh
Journal:  Curr Opin Psychol       Date:  2018-11-08

7.  Prestimulus alpha-band power biases visual discrimination confidence, but not accuracy.

Authors:  Jason Samaha; Luca Iemi; Bradley R Postle
Journal:  Conscious Cogn       Date:  2017-02-17

8.  Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation.

Authors:  Douglas D Garrett; Johannes Jacobus Fahrenfort; Niels A Kloosterman; Jan Willem de Gee; Markus Werkle-Bergner; Ulman Lindenberger
Journal:  Elife       Date:  2019-02-06       Impact factor: 8.140

9.  Ever-ready for action: Spatial effects on motor system excitability.

Authors:  Matthieu M de Wit; Olufunsho Faseyitan; H Branch Coslett
Journal:  Cortex       Date:  2020-01-03       Impact factor: 4.027

10.  Alpha Activity Reflects the Magnitude of an Individual Bias in Human Perception.

Authors:  Laetitia Grabot; Christoph Kayser
Journal:  J Neurosci       Date:  2020-03-16       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.