Spatiotemporal brain mapping during preparation, perception, and action

Russo, Francesco Di; Lucci, Giuliana; Sulpizio, Valentina; Berchicci, Marika; Spinelli, Donatella; Pitzalis, Sabrina; Galati, Gaspare

doi:10.1016/j.neuroimage.2015.11.036

Cited by 97 publications

(92 citation statements)

References 81 publications

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“…It more likely acts as a break, possibly to prevent automatic behavior or to slow down responses (Aron et al, 2014). Finally, prefrontal beta is not the only measure to investigate prefrontal processes with EEG, just recently prefrontal ERPs (pN, pP) being in association with motor inhibition have been reported (Berchicci et al, 2016; Di Russo et al, 2016). It might be that these reflect similar processes as prefrontal beta and this could be tested in future studies.…”

Section: Discussionmentioning

confidence: 99%

Temporal Dynamics of Proactive and Reactive Motor Inhibition

Liebrand

Pein

Tzvi

et al. 2017

Front. Hum. Neurosci.

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Proactive motor inhibition refers to endogenous preparatory mechanisms facilitating action inhibition, whereas reactive motor inhibition is considered to be a sudden stopping process triggered by external signals. Previous studies were inconclusive about the temporal dynamics of involved neurocognitive processes during proactive and reactive motor control. Using electroencephalography (EEG), we investigated the time-course of proactive and reactive inhibition, measuring event-related oscillations and event-related potentials (ERPs). Participants performed in a cued go/nogo paradigm with cues indicating whether the motor response might or might not have to be inhibited. Based on the dual mechanisms of control (DMC) framework by Braver, we investigated the role of attentional effects, motor preparation in the sensorimotor cortex and prefrontal cognitive control mechanisms, separating effects before and after target onset. In the cue-target interval, proactive motor inhibition was associated with increased attention, reflected in reduced visual alpha power and an increased contingent negative variation (CNV). At the same time, motor inhibition was modulated by reduced sensorimotor beta power. After target onset, proactive inhibition resulted in an increased N1, indicating allocation of attention towards relevant stimuli, increased prefrontal beta power and a modulation of sensorimotor mu activity. As in previous studies, reactive stopping of motor actions was associated with increased prefrontal beta power and increased sensorimotor beta activity. The results stress the relevance of attentional mechanisms for proactive inhibition and speak for different neurocognitive mechanisms being involved in the early preparation for and in later implementation of motor inhibition.

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Section: Discussionmentioning

confidence: 99%

Temporal Dynamics of Proactive and Reactive Motor Inhibition

Liebrand

Pein

Tzvi

et al. 2017

Front. Hum. Neurosci.

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“…Many studies identified time-domain event-related potentials (ERPs) in association with proactive control, including processes related to switch preparation or anticipatory attention (Karayanidis and Jamadar, 2014; Angelini et al 2016; Di Russo et al 2016; Langford et al 2016). Neural oscillations represent frequency-domain electrophysiological excitabilities of neuronal populations, with oscillations in different frequencies reflecting dynamic information exchange between distinct functional networks (Fries, 2005).…”

Section: Introductionmentioning

confidence: 99%

Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing

Chang

Ide

et al. 2017

eNeuro

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Proactive control allows us to anticipate environmental changes and adjust behavioral strategy. In the laboratory, investigators have used a number of different behavioral paradigms, including the stop-signal task (SST), to examine the neural processes of proactive control. Previous functional MRI studies of the SST have demonstrated regional responses to conflict anticipation—the likelihood of a stop signal or P(stop) as estimated by a Bayesian model—and reaction time (RT) slowing and how these responses are interrelated. Here, in an electrophysiological study, we investigated the time–frequency domain substrates of proactive control. The results showed that conflict anticipation as indexed by P(stop) was positively correlated with the power in low-theta band (3–5 Hz) in the fixation (trial onset)-locked interval, and go-RT was negatively correlated with the power in delta-theta band (2–8 Hz) in the go-locked interval. Stimulus prediction error was positively correlated with the power in the low-beta band (12–22 Hz) in the stop-locked interval. Further, the power of the P(stop) and go-RT clusters was negatively correlated, providing a mechanism relating conflict anticipation to RT slowing in the SST. Source reconstruction with beamformer localized these time–frequency activities close to brain regions as revealed by functional MRI in earlier work. These are the novel results to show oscillatory electrophysiological substrates in support of trial-by-trial behavioral adjustment for proactive control.

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“…We, furthermore, observed critical involvement of a cluster located in the insula. Although the left insula has not been implicated in prediction of perceptual stimuli, several recent neuroimaging studies have reported activations in the insula during motor planning (Bernardi et al, 2013; Di Russo et al, 2016) which, we will suggest below, is closely associated with prediction. The critical role of the insula cluster may also be related to the proximity of this cortical region to the superior longitudinal fasciculus, a prominent white matter pathway connecting frontal and parietal cortices (Makris et al, 2005; Schmahmann et al, 2007).…”

Section: Discussionmentioning

confidence: 93%

Critical Motor Involvement in Prediction of Human and Non-biological Motion Trajectories

Wit

Buxbaum

2017

J Int Neuropsychol Soc

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Objectives Adaptive interaction with the environment requires the ability to predict both human and non-biological motion trajectories. Prior accounts of the neurocognitive basis for prediction of these two motion classes may generally be divided into those that posit that non-biological motion trajectories are predicted using the same motor planning and/or simulation mechanisms used for human actions, and those that posit distinct mechanisms for each. Using brain lesion patients and healthy controls, this study examined critical neural substrates and behavioral correlates of human and non-biological motion prediction. Methods Twenty-seven left hemisphere stroke patients and 13 neurologically intact controls performed a visual occlusion task requiring prediction of pantomimed tool use, real tool use, and non-biological motion videos. Patients were also assessed with measures of motor strength and speed, praxis, and action recognition. Results Prediction impairment for both human and non-biological motion was associated with limb apraxia and, weakly, with the severity of motor production deficits, but not with action recognition ability. Furthermore, impairment for human and non-biological motion prediction was equivalently associated with lesions in the left inferior parietal cortex, left dorsal frontal cortex, and the left insula. Conclusions These data suggest that motor planning mechanisms associated with specific loci in the sensorimotor network are critical for prediction of spatiotemporal trajectory information characteristic of both human and non-biological motions.

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Spatiotemporal brain mapping during preparation, perception, and action

Cited by 97 publications

References 81 publications

Temporal Dynamics of Proactive and Reactive Motor Inhibition

Temporal Dynamics of Proactive and Reactive Motor Inhibition

Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing

Critical Motor Involvement in Prediction of Human and Non-biological Motion Trajectories

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