Reckoning the moment of reckoning in spontaneous voluntary movement (original) (raw)
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An accumulator model for spontaneous neural activity prior to self-initiated movement
A gradual buildup of neuronal activity known as the "readiness potential" reliably precedes voluntary self-initiated movements, in the average time locked to movement onset. This buildup is presumed to reflect the final stages of planning and preparation for movement. Here we present a different interpretation of the premovement buildup. We used a leaky stochastic accumulator to model the neural decision of "when" to move in a task where there is no specific temporal cue, but only a general imperative to produce a movement after an unspecified delay on the order of several seconds. According to our model, when the imperative to produce a movement is weak, the precise moment at which the decision threshold is crossed leading to movement is largely determined by spontaneous subthreshold fluctuations in neuronal activity. Time locking to movement onset ensures that these fluctuations appear in the average as a gradual exponential-looking increase in neuronal activity. Our model accounts for the behavioral and electroencephalography data recorded from human subjects performing the task and also makes a specific prediction that we confirmed in a second electroencephalography experiment: Fast responses to temporally unpredictable interruptions should be preceded by a slow negative-going voltage deflection beginning well before the interruption itself, even when the subject was not preparing to move at that particular moment.
The proactive self-control of actions: Time-course of underlying brain activities
NeuroImage, 2017
Proactive brain control optimizes upcoming actions and inhibits unwanted responses. In the present eventrelated potential (ERP) study, participants freely decided in advance whether to respond or not to an upcoming stimulus, then prepared or not the action according to their decision; finally, a stimulus was delivered, and subjects had to respond (or not). During the decision-making stage, a prefrontal negativity raised bilaterally in case no-response was decided, reflecting the first brain signal of proactive inhibition. Simultaneously, slow activity raised over premotor cortices independently from the decision taken, and then raised during the preparation phase only in the case of response decision (as a sort of accelerator). When the decision was not to respond, the prefrontal activity remained sustained (as a sort of brake) and showed a right-lateralized distribution during the preparation phase. Overall, we described the time-course of a proactive acceleratingbraking system regulating self-control of actions.
Self-generated, voluntary actions, are preceded by a slow negativity in the scalp electroencephalography (EEG) signal recorded from frontal regions (termed readiness potential; RP). This signal, and its lateralized subcomponent (LRP), is mainly regarded as preparatory motor activity associated with the forthcoming motor act. However, it is not clear whether this neural signature is associated with preparatory motor activity, expectation of its associated sensory consequences, or both. Here we recorded EEG data from 12 healthy subjects while they performed self-paced button presses with their right index and middle fingers. In one condition (motor+sound) these button-presses triggered a sound while in another (motor-only) they did not. Additionally, subjects passively listened to sounds delivered in expected timings (sound-only). We found that the RP amplitude (locked to time of button press) was significantly more negative in the motor+sound compared with motor-only conditions start...
Movement-Preceding Neural Activity under Parametrically Varying Levels of Time Pressure
bioRxiv preprint, 2021
Self-initiated movements are known to be preceded by the readiness potential or RP, a gradual increase in surface-negativity of cortical potentials that can begin up to 1 second or more before movement onset. The RP has been extensively studied for decades, and yet we still lack a clear understanding of its functional role. Attempts to model the RP as an accumulation-to-bound process suggest that this signal is a by-product of time-locking to crests in neural noise rather than the outcome of a pre-conscious decision to initiate a movement. One parameter of the model accounts for the imperative to move now, with cued movements having a strong imperative and purely spontaneous movements having no imperative. Two different variants of the model have been proposed, and both predict a decrease in the (negative) amplitude of the early RP as the imperative grows stronger. In order to test this empirically, we conducted an experiment where subjects produced self-initiated movements under varying levels of time pressure, and we investigated the amplitude, shape, and latency of the RP as a function of the imperative to move, operationalised as a time limit. We identified distinct changes in the amplitude of the early RP that grew non-linearly as the time limit grew shorter. Thus these data did not support the prediction made by the model. In addition, our results confirm that the shape of the RP is not stereotypically negative, being either positive or absent in about half of the subjects.
Neuropsychologia, 2010
An important aspect of volition is the internal decision whether to act or to withhold an action. We used EEG frequency analysis of sensorimotor rhythms to investigate brain activity when people prepare and then cancel a voluntary action. Participants used a rotating clock-hand to report when they experienced the intention to press a key with their right hand, even on trials where they freely decided to inhibit movement at the last moment. On action trials, we observed the classical pattern of reduced beta-band spectral power prior to movement, followed by beta rebound after movement. On inhibition trials where participants prepared but then cancelled a movement, we found a left frontal increase in spectral power (event-related synchronization: ERS) peaking 12 ms before the perceived intention to move. This neural correlate of intentional inhibition was significantly different from the activity at the corresponding moment in action trials. The results are discussed in the context of a recent model of voluntary action (WWW model;. Planned actions can be subjected to a final predictive check which either commits actions for execution or suspends and withholds them. The neural mechanism of intentional inhibition may play an important role in self-control.
Cortical activity preceding self-initiated and externally triggered voluntary movement
Movement Disorders, 1991
The cortical electromyogram (EMG) activity, preceding voluntary movements, was recorded in 12 normal subjects in two different situations: first, when movements were self-induced by the subjects by their own will; and second, in response to threshold electrical stimulation of the index finger, a brief flash of a light-emitting diode (LED), and a click. Four types of movements were studied: (a) fast extension of the right wrist, (b) fast supination of the left wrist, (c) either movement depending on the subject's own decision or on which index finger was stimulated, and (d) fast sequential right and left wrist extension. In all subjects, self-initiated movements were preceded by a typical Bereitschaftspotential (BP) starting 1,290 k 208 ms before the EMG discharge. When the same movements were triggered by an external clue, there was no BP. The BP was present, although with a shorter duration, when subjects were asked to wait for a brief period after index finger stimulation, before extending the right wrist. From these results, we conclude that the BP is closely associated with the timing of internally generated movements, and that different cortical areas are probably involved in the generation of self-induced and externally referenced movements in humans.
Oxford University Press eBooks, 2010
Libet's data show that EEG readiness potentials begin before the urge to move is consciously felt. This result has been widely interpreted as showing that spontaneous voluntary movements are initiated preconsciously. We now report two new findings relevant to this conclusion. First, the question of whether readiness potentials (RPs) are precursors of movement per se or merely indicators of general readiness has always been moot. On the basis of both new experimental evidence and an inspection of the literature, we claim that Libet's Type II RPs 1 are neither necessary nor sufficient for spontaneous voluntary movement. Thus Type II RPs are likely to be related to general readiness rather than
Detection of self-paced reaching movement intention from EEG signals
Frontiers in Neuroengineering, 2012
Future neuroprosthetic devices, in particular upper limb, will require decoding and executing not only the user's intended movement type, but also when the user intends to execute the movement. This work investigates the potential use of brain signals recorded non-invasively for detecting the time before a self-paced reaching movement is initiated which could contribute to the design of practical upper limb neuroprosthetics. In particular, we show the detection of self-paced reaching movement intention in single trials using the readiness potential, an electroencephalography (EEG) slow cortical potential (SCP) computed in a narrow frequency range (0.1-1 Hz). Our experiments with 12 human volunteers, two of them stroke subjects, yield high detection rates prior to the movement onset and low detection rates during the non-movement intention period. With the proposed approach, movement intention was detected around 500 ms before actual onset, which clearly matches previous literature on readiness potentials. Interestingly, the result obtained with one of the stroke subjects is coherent with those achieved in healthy subjects, with single-trial performance of up to 92% for the paretic arm. These results suggest that, apart from contributing to our understanding of voluntary motor control for designing more advanced neuroprostheses, our work could also have a direct impact on advancing robot-assisted neurorehabilitation.