Performance modulations phase-locked to action depend on internal state

Previous studies have shown that perceptual performance can be modulated at specific frequencies phase-locked to self-paced motor actions, but findings have been inconsistent. To investigate this effect at the population level, we tested 50 participants who performed a self-paced button press followed by a threshold-level detection task, using both fixed- and random-effects analyses. Contrary to expectations, the aggregated data showed no significant action-related modulation. However, when accounting for internal states, we found that trials during periods of low performance or following a missed detection exhibited significant modulation at approximately 17 Hz. Additionally, participants with no false alarms showed similar modulation. These effects were significant in random effects tests, suggesting that they generalize to the population. Our findings indicate that action-related perceptual modulations are not always detectable but may emerge under specific internal conditions, such as lower attentional engagement or higher decision criteria, particularly in the beta-frequency range.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-12-26
DOI
https://doi.org/10.1016/j.isci.2024.111691
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance modulations phase-locked to action depend on internal state

Gustavo Rohenkohl, Guillaume Dumas, Tommaso Tosato, Pascal Fries
iScience
Neural dynamics and brain function
article

Performance modulations phase-locked to action depend on internal state

Gustavo Rohenkohl, Guillaume Dumas, Tommaso Tosato, Pascal Fries
article en

Abstract

Previous studies have shown that perceptual performance can be modulated at specific frequencies phase-locked to self-paced motor actions, but findings have been inconsistent. To investigate this effect at the population level, we tested 50 participants who performed a self-paced button press followed by a threshold-level detection task, using both fixed- and random-effects analyses. Contrary to expectations, the aggregated data showed no significant action-related modulation. However, when accounting for internal states, we found that trials during periods of low performance or following a missed detection exhibited significant modulation at approximately 17 Hz. Additionally, participants with no false alarms showed similar modulation. These effects were significant in random effects tests, suggesting that they generalize to the population. Our findings indicate that action-related perceptual modulations are not always detectable but may emerge under specific internal conditions, such as lower attentional engagement or higher decision criteria, particularly in the beta-frequency range.

iScienceVol. 28(1)
Pioneer (United States) (US), Radboud University Nijmegen (NL), Universidade de São Paulo (BR), Centre Hospitalier Universitaire Sainte-Justine (CA), Universidade do Estado do Rio de Janeiro (BR), Ernst Strüngmann Institute for Neuroscience (DE), Max Planck Institute for Biological Cybernetics (DE), Mila - Quebec Artificial Intelligence Institute (CA), Université de Montréal (CA)
Deutsche Forschungsgemeinschaft, Fundação de Amparo à Pesquisa do Estado de São Paulo
Climate action
Openalex Percentile: Top 75%
Neural dynamics and brain function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance modulations phase-locked to action depend on internal state — Gustavo Rohenkohl, Guillaume Dumas, et al. · iScience (2024) | TGRS Research Map | TGRS