Boosts in brain signal variability track liberal shifts in decision bias

Adopting particular decision biases allows organisms to tailor their choices to environmental demands. For example, a liberal response strategy pays off when target detection is crucial, whereas a conservative strategy is optimal for avoiding false alarms. Using conventional time-frequency analysis...

Full description

Bibliographic Details
Main Authors: Niels A Kloosterman, Julian Q Kosciessa, Ulman Lindenberger, Johannes Jacobus Fahrenfort, Douglas D Garrett
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-08-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/54201
id doaj-ebe5285c3aa14061b803cef2c84c298f
record_format Article
spelling doaj-ebe5285c3aa14061b803cef2c84c298f2021-05-05T21:22:33ZengeLife Sciences Publications LtdeLife2050-084X2020-08-01910.7554/eLife.54201Boosts in brain signal variability track liberal shifts in decision biasNiels A Kloosterman0https://orcid.org/0000-0002-1134-7996Julian Q Kosciessa1https://orcid.org/0000-0002-4553-2794Ulman Lindenberger2https://orcid.org/0000-0001-8428-6453Johannes Jacobus Fahrenfort3https://orcid.org/0000-0002-9025-3436Douglas D Garrett4https://orcid.org/0000-0002-0629-7672Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, GermanyMax Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, GermanyMax Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, GermanyDepartment of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Department of Psychology, University of Amsterdam, Amsterdam, NetherlandsMax Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, GermanyAdopting particular decision biases allows organisms to tailor their choices to environmental demands. For example, a liberal response strategy pays off when target detection is crucial, whereas a conservative strategy is optimal for avoiding false alarms. Using conventional time-frequency analysis of human electroencephalographic (EEG) activity, we previously showed that bias setting entails adjustment of evidence accumulation in sensory regions (Kloosterman et al., 2019), but the presumed prefrontal signature of a conservative-to-liberal bias shift has remained elusive. Here, we show that a liberal bias shift is reflected in a more unconstrained neural regime (boosted entropy) in frontal regions that is suited to the detection of unpredictable events. Overall EEG variation, spectral power and event-related potentials could not explain this relationship, highlighting that moment-to-moment neural variability uniquely tracks bias shifts. Neural variability modulation through prefrontal cortex appears instrumental for permitting an organism to adapt its biases to environmental demands.https://elifesciences.org/articles/54201brain signal variabilitydecision biasperceptual decision makingsignal detection theorycognitive flexibility
collection DOAJ
language English
format Article
sources DOAJ
author Niels A Kloosterman
Julian Q Kosciessa
Ulman Lindenberger
Johannes Jacobus Fahrenfort
Douglas D Garrett
spellingShingle Niels A Kloosterman
Julian Q Kosciessa
Ulman Lindenberger
Johannes Jacobus Fahrenfort
Douglas D Garrett
Boosts in brain signal variability track liberal shifts in decision bias
eLife
brain signal variability
decision bias
perceptual decision making
signal detection theory
cognitive flexibility
author_facet Niels A Kloosterman
Julian Q Kosciessa
Ulman Lindenberger
Johannes Jacobus Fahrenfort
Douglas D Garrett
author_sort Niels A Kloosterman
title Boosts in brain signal variability track liberal shifts in decision bias
title_short Boosts in brain signal variability track liberal shifts in decision bias
title_full Boosts in brain signal variability track liberal shifts in decision bias
title_fullStr Boosts in brain signal variability track liberal shifts in decision bias
title_full_unstemmed Boosts in brain signal variability track liberal shifts in decision bias
title_sort boosts in brain signal variability track liberal shifts in decision bias
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2020-08-01
description Adopting particular decision biases allows organisms to tailor their choices to environmental demands. For example, a liberal response strategy pays off when target detection is crucial, whereas a conservative strategy is optimal for avoiding false alarms. Using conventional time-frequency analysis of human electroencephalographic (EEG) activity, we previously showed that bias setting entails adjustment of evidence accumulation in sensory regions (Kloosterman et al., 2019), but the presumed prefrontal signature of a conservative-to-liberal bias shift has remained elusive. Here, we show that a liberal bias shift is reflected in a more unconstrained neural regime (boosted entropy) in frontal regions that is suited to the detection of unpredictable events. Overall EEG variation, spectral power and event-related potentials could not explain this relationship, highlighting that moment-to-moment neural variability uniquely tracks bias shifts. Neural variability modulation through prefrontal cortex appears instrumental for permitting an organism to adapt its biases to environmental demands.
topic brain signal variability
decision bias
perceptual decision making
signal detection theory
cognitive flexibility
url https://elifesciences.org/articles/54201
work_keys_str_mv AT nielsakloosterman boostsinbrainsignalvariabilitytrackliberalshiftsindecisionbias
AT julianqkosciessa boostsinbrainsignalvariabilitytrackliberalshiftsindecisionbias
AT ulmanlindenberger boostsinbrainsignalvariabilitytrackliberalshiftsindecisionbias
AT johannesjacobusfahrenfort boostsinbrainsignalvariabilitytrackliberalshiftsindecisionbias
AT douglasdgarrett boostsinbrainsignalvariabilitytrackliberalshiftsindecisionbias
_version_ 1721458191819079680