Neural Oscillations Coordinate Continuous Error Correction During Force Control

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AI-generated summary by claude@2026-07, 2026-07-17

This study used EEG during a force control task to find that theta, beta, and alpha band oscillations coordinate continuous error correction when sensory feedback is available.

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AI-generated deep summary by claude@2026-07, 2026-07-17 · read from full text

The paper studied how neural oscillations support continuous, feedback-based error correction during an isometric force control task, using EEG while participants maintained grip force with or without continuous visual feedback. With visual feedback, behavioral performance exhibited rhythmic fluctuations at about 6 Hz, and EEG signals showed matching oscillatory activity across theta, beta, and alpha bands that the authors link to performance monitoring, updating, and attentional control. Without feedback, performance decayed linearly and the related neural oscillatory signatures were reduced. The study’s main limitation is that it used a force-control paradigm and did not directly evaluate clinical pain states or pathology. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Effective motor control depends on the brain’s ability to monitor performance and make continuous corrections. While many studies focus on discrete errors, everyday actions often require ongoing feedback-based adjustments. Here, we used an isometric force control task with EEG to investigate the neural dynamics supporting real-time error correction. Participants maintained a constant grip force with or without continuous visual feedback. With feedback, behavior showed ∼6 Hz rhythmic fluctuations, consistent with active correction. These fluctuations were mirrored in EEG activity across theta, beta, and alpha bands—oscillations linked to performance monitoring, updating, and attentional control. Without feedback, performance decayed linearly, and the corresponding neural signatures were reduced. These findings suggest that continuous sensory feedback engages a dynamic feedback loop involving distinct neural processes that support adaptive behavior. Our results highlight the importance of oscillatory activity in tracking and correcting moment-to-moment fluctuations in force, offering insight into the neural basis of feedback-loop force control.
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Abstract Effective motor control depends on the brain’s ability to monitor performance and make continuous corrections. While many studies focus on discrete errors, everyday actions often require ongoing feedback-based adjustments. Here, we used an isometric force control task with EEG to investigate the neural dynamics supporting real-time error correction. Participants maintained a constant grip force with or without continuous visual feedback. With feedback, behavior showed ∼6 Hz rhythmic fluctuations, consistent with active correction. These fluctuations were mirrored in EEG activity across theta, beta, and alpha bands—oscillations linked to performance monitoring, updating, and attentional control. Without feedback, performance decayed linearly, and the corresponding neural signatures were reduced. These findings suggest that continuous sensory feedback engages a dynamic feedback loop involving distinct neural processes that support adaptive behavior. Our results highlight the importance of oscillatory activity in tracking and correcting moment-to-moment fluctuations in force, offering insight into the neural basis of feedback-loop force control. Competing Interest Statement The authors have declared no competing interest.

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last seen: 2026-05-20T01:45:00.602351+00:00