From the brain’s encoding of input dynamics to its behavior: neural dynamics shape bias in decision making

The human brain is tightly connected to the individual's environment and its input dynamics. How the dynamics of periodic environmental stimuli influence neural activity and subsequent behavior via neural entrainment or alignment is not fully clear yet, though. This study explores how periodic environmental stimuli influence neural activity and behavior. EEG data was collected during a Go-NoGo task with a periodic intertrial interval (ITI) of 1.3 s (0.769 Hz). Results showed that the task's temporal structure increased power spectrum activity at 0.769 Hz, which showed high intersubject variability. Higher task-periodicity effects were linked to stronger phase-based intertrial coherence (ITC) and reduced neural complexity, as measured by lower Lempel-Ziv Complexity (LZC). Additionally, higher periodicity in the power spectrum correlated with faster reaction times and stronger response bias. We conclude that the encoding of the inputs' dynamics into the brains power spectrum shapes subsequent behavior, e.g., RT and response bias, through reducing neural complexity.

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Publication Details

Journal
Communications Biology
Published
2024-11-19
DOI
https://doi.org/10.1038/s42003-024-07235-w
Citations
7
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
2.40
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From the brain’s encoding of input dynamics to its behavior: neural dynamics shape bias in decision making

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From the brain’s encoding of input dynamics to its behavior: neural dynamics shape bias in decision making

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article en
7 citations

Abstract

The human brain is tightly connected to the individual's environment and its input dynamics. How the dynamics of periodic environmental stimuli influence neural activity and subsequent behavior via neural entrainment or alignment is not fully clear yet, though. This study explores how periodic environmental stimuli influence neural activity and behavior. EEG data was collected during a Go-NoGo task with a periodic intertrial interval (ITI) of 1.3 s (0.769 Hz). Results showed that the task's temporal structure increased power spectrum activity at 0.769 Hz, which showed high intersubject variability. Higher task-periodicity effects were linked to stronger phase-based intertrial coherence (ITC) and reduced neural complexity, as measured by lower Lempel-Ziv Complexity (LZC). Additionally, higher periodicity in the power spectrum correlated with faster reaction times and stronger response bias. We conclude that the encoding of the inputs' dynamics into the brains power spectrum shapes subsequent behavior, e.g., RT and response bias, through reducing neural complexity.

Communications BiologyVol. 7(1)
University of Vienna (AT), University of Ottawa (CA), Royal Ottawa Mental Health Centre (CA), University of Florence (IT), Carleton University (CA), Ottawa University (US)
Openalex Percentile: Top 11%
Neural dynamics and brain function
2.40
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