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Dussard, C.

Publications and source records attributed to Dussard, C..

3 recordsLinked to original sources

Cortical beta coherence provides a stronger non-invasive predictor of movement vigor than local beta power

BackgroundMovement elicits a robust decrease in motor cortical beta-band ({beta}; 13-30 Hz) power contralateral to the moving limb. On this basis, studies have targeted contralateral motor cortical {beta} power to decode or modulate movement vigor (initiation and execution speed) non-invasively. Yet, reported behavioral effects and decoding accuracy remain modest. Considering that controlling vigor involves distributed brain regions, network-level metrics that capture interactions between cortical regions may track changes in vigor more accurately than local power. We therefore tested whether {beta} cortico-cortical coherence, measured as functional connectivity between contralateral motor cortex and other cortical areas, predicts movement vigor more reliably than {beta} power. MethodsThirty healthy participants performed right hand opening at two instructed speeds (Fast, Slow), while high-density electroencephalography (EEG) was recorded. EEG data were source-localized, and analyses were conducted at the sensor and source levels. We compared {beta} power and {beta} coherence in their ability to discriminate Fast from Slow condition. Effects were assessed across the whole scalp/cortex and using subject-specific selections of electrodes/parcels optimized for discrimination. ResultsFast trials exhibited shorter movement time (MT) and reaction time (RT) than Slow trials, indicating higher vigor. No electrodes cluster showed any significant {beta} power difference between Fast and Slow conditions. With subject-specific channel selection, {beta} power discriminated vigor above chance in most participants, but the polarity of the {beta} power contrast (Fast < Slow or Fast > Slow) varied across individuals. In contrast, with subject-specific parcel selection, {beta} coherence was consistently reduced during Fast relative to Slow in the majority of participants. Across participants, lower {beta} coherence, but not {beta} power, was significantly associated with larger Slow-Fast vigor difference. Conclusions{beta} cortico-cortical coherence between contralateral motor cortex and other cortical regions provided a more robust and consistent predictor of movement vigor than contralateral motor cortical {beta} power. {beta} coherence exhibited a sustained reduction during fast movements across trials and participants, supporting its use as target for non-invasive neuromodulation of vigor and as feature for decoding intended movement speed.

neuroscience↗

Motor cortical beta power reflects adaptation to task constraints

The amplitude of beta-band activity ({beta} power; 13-30 Hz) over motor cortical regions is used to assess and decode movement in clinical settings and brain-computer interfaces, as {beta} power is often assumed to predict the strength of the brains motor output, or "vigor". However, recent conflicting evidence challenges this assumption and underscores the need to clarify the relationship between {beta} power and movement. In this study, sixty participants were trained to self-regulate {beta} power using electroencephalography-based neurofeedback before performing different motor tasks. Results showed that {beta} power modulations can impact different motor variables, or the same variables in opposite directions, depending on task constraints. Importantly, downregulation of {beta} power was associated with better task performance regardless of whether performance implied increasing or decreasing motor vigor. These findings demonstrate that {beta} power should be interpreted as a measure of motor flexibility, which underlies adaptation to environmental constraints, rather than vigor.

neuroscience↗

Agency accounts for the effect of FB transparency onmotor imagery neurofeedback performance

ObjectiveNeurofeedback (NF) is a cognitive training procedure based on real-time feedback (FB) of a participants brain activity that they must learn to self-regulate. A classical visual FB delivered in a NF task is a filling gauge reflecting a measure of brain activity. This abstract visual FB is not transparently linked--from the subjects perspective--to the task performed (e.g., motor imagery). This may decrease the sense of agency, that is, the participants reported control over FB. Here, we assessed the influence of FB transparency on NF performance and the role of agency in this relationship. ApproachParticipants performed a NF task using motor imagery to regulate brain activity measured using electroencephalography. In separate blocks, participants experienced three different conditions designed to vary transparency: FB was presented as either 1) a swinging pendulum, 2) a clenching virtual hand, 3) a clenching virtual hand combined with a motor illusion induced by tendon vibration. We measured self-reported agency and user experience after each NF block. Main resultsWe found that FB transparency influences NF performance. Transparent visual FB provided by the virtual hand resulted in significantly better NF performance than the abstract FB of the pendulum. Surprisingly, adding a motor illusion to the virtual hand significantly decreased performance relative to the virtual hand alone. When introduced in incremental linear mixed effect models, self-reported agency was significantly associated with NF performance and it captured the variance related to the effect of FB transparency on NF performance. SignificanceOur results highlight the relevance of transparent FB in relation to the sense of agency. This is likely an important consideration in designing FB to improve NF performance and learning outcomes.

neuroscience↗