TY - JOUR
T1 - From the brain’s encoding of input dynamics to its behavior
T2 - neural dynamics shape bias in decision making
AU - Wolman, Angelika
AU - Lechner, Stephan
AU - Angeletti, Lorenzo Lucherini
AU - Goheen, Josh
AU - Northoff, Georg
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85209819329
UR - https://www.scopus.com/inward/citedby.url?scp=85209819329&partnerID=8YFLogxK
U2 - 10.1038/s42003-024-07235-w
DO - 10.1038/s42003-024-07235-w
M3 - Article
C2 - 39562707
AN - SCOPUS:85209819329
SN - 2399-3642
VL - 7
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 1538
ER -