The Neuroscientific Basis of Flow: Learning Progress Guides Task Engagement and Cognitive Control DOI Creative Commons
Hairong Lu, Dimitri van der Linden, Arnold B. Bakker

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121076 - 121076

Published: Feb. 1, 2025

People often strive for deep engagement in activities, a state typically associated with feelings of flow - full task absorption accompanied by sense control and enjoyment. The intrinsic factors driving such facilitating subjective remain unclear. Building on computational theories motivation, this study examines how learning progress predicts directs cognitive control. Results showed that engagement, indicated low distractibility, is function progress. Electroencephalography data further revealed enhanced proactive preparation (e.g., reduced pre-stimulus contingent negativity variance parietal alpha desynchronization) improved feedback processing increased P3b amplitude desynchronization). impact observed at the task-block goal-episode levels, but not trial level. This suggests shapes over extended periods as accumulates. These findings highlight critical role sustaining goal-directed behavior.

Language: Английский

Altered theta band and theta/beta ratio in mismatch negativity associate with treatment effect in schizophrenia with auditory hallucinations DOI
Qian Guo, Zexin Zhao,

Wenzheng Wang

et al.

Schizophrenia Research Cognition, Journal Year: 2025, Volume and Issue: 40, P. 100344 - 100344

Published: Jan. 9, 2025

Language: Английский

Citations

0
Simultaneous activation of different subtypes of dopamine receptors may lead to activation of homeostatic sleep regulatory mechanisms DOI Creative Commons

Dóra Keserű,

Tünde Hajnik,

Máté Pethő

et al.

Pharmacology Biochemistry and Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 173954 - 173954

Published: Jan. 1, 2025

Language: Английский

Citations

0
Exploring EEG Dynamics Through Markov Chain Analysis DOI Creative Commons
Arturo Tozzi

Published: Jan. 14, 2025

A Markov chain (MC) is a mathematical model used to describe system where the probability of moving next state depends solely on current and not sequence preceding states. blanket (MB) for node includes its parents, children other parents children, capturing minimal set nodes required make conditionally independent from rest network. We examined EEG data healthy individuals assess MC MB connectivity patterns associated with two representative electrodes. The electrode FP1, cognitive functions, displayed connections predominantly frontal central regions. C3, located in primary motor cortex, bilateral parietal electrodes had shared connections, highlighting integration between networks, while also retaining distinct that underscored their specialized roles functions. Temporal analysis demonstrated significant fluctuations across time segments, phases increased neural reorganization stability. Entropy showed variability dynamics over time. FP1 exhibited greater entropy variability, reflecting flexibility involvement processes, C3 more stable patterns, aligning motor-related functionality. demonstrate utility MBs dynamic complexity nervous activity, underscoring overlapping brain regions balancing functional specialization. Our findings have implications neuroscience brain-computer interface design.

Language: Английский

Citations

0
Damping-regulated GSR array method for multi-harmonic fault diagnosis under variable speed conditions DOI

Xuerui Zhang,

Kehan Chen, Huiqi Wang

et al.

Measurement Science and Technology, Journal Year: 2025, Volume and Issue: 36(3), P. 036103 - 036103

Published: Jan. 29, 2025

Abstract Bearing fault diagnosis under variable speed conditions is essential due to the complexities introduced by fluctuations. The accurate detection of multi-harmonic faults critical for ensuring reliability in intricate operating environments. From perspective beneficial effects noise, this study we propose a novel damping-regulated generalized stochastic resonance (GSR) array method designed conditions. First, employ computed order tracking transform non-stationary time-domain signals into stationary angular domain. A GSR oscillator then within domain, forming basis our array. By analyzing system response, reveal diagnostic performance theory assess array’s capacity enhancing characteristics. Through simulations and experimental validation, demonstrates superior accuracy, particularly scenarios. It excels preserving weak characteristics while offering significant advantages high robustness. These findings provide potential practical applications diagnostics across various engineering systems.

Language: Английский

Citations

0
The Neuroscientific Basis of Flow: Learning Progress Guides Task Engagement and Cognitive Control DOI Creative Commons
Hairong Lu, Dimitri van der Linden, Arnold B. Bakker

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121076 - 121076

Published: Feb. 1, 2025

People often strive for deep engagement in activities, a state typically associated with feelings of flow - full task absorption accompanied by sense control and enjoyment. The intrinsic factors driving such facilitating subjective remain unclear. Building on computational theories motivation, this study examines how learning progress predicts directs cognitive control. Results showed that engagement, indicated low distractibility, is function progress. Electroencephalography data further revealed enhanced proactive preparation (e.g., reduced pre-stimulus contingent negativity variance parietal alpha desynchronization) improved feedback processing increased P3b amplitude desynchronization). impact observed at the task-block goal-episode levels, but not trial level. This suggests shapes over extended periods as accumulates. These findings highlight critical role sustaining goal-directed behavior.

Language: Английский

Citations

0