1,721,085 research outputs found

    The influence of recent decisions on future goal selection.

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    Recent decisions about actions and goals can have effects on future choices. Several studies have shown an effect of the previous trial history on neural activity in a subsequent trial. Often, but not always, these effects originate from task requirements that make it necessary to maintain access to previous trial information to make future decisions. Maintaining the information about recent decisions and their outcomes can play an important role in both adapting to new contingencies and learning. Previous goal decisions must be distinguished from goals that are currently being planned to avoid perseveration or more general errors. Output monitoring is probably based on this separation of accomplished past goals from pending future goals that are being pursued. Behaviourally, it has been shown that the history context can influence the location, error rate and latency of successive responses. We will review the neurophysiological studies in the literature, including data from our laboratory, which support a role for the frontal lobe in tracking previous goal selections and outputs when new goals need to be accomplished

    Median nerve stimulation modulates extracellular signals in the primary motor area of a macaque monkey.

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    Aiming to better define the functional influence of somatosensory stimuli on the primary motor cortex (M1) of primates, we investigated changes in extracellular neural activity induced by repetitive median nerve stimulation (MNS). We described neural adaptation and signal integration in both the multiunit activity (MUA) and the local field potential (LFP). To identify integration of initial M1 activity in the MNS response, we tested the correlation between peak amplitude responses and band energy preceding the peaks. Most of the sites studied in the M1 resulted responsive to MNS. MUA response peak amplitude decreased significantly in time in all sites during repetitive MNS, LFP response peak amplitude instead resulted more variable. Similarly, correlation analysis with the initial activity revealed a significant influence when tested using MUA peak amplitude modulation and a less significant correlation when tested using LFP peak amplitude. Our findings improve current knowledge on mechanisms underlying early M1 changes consequent to afferent somatosensory stimuli. © 2013 Elsevier Ireland Ltd

    CORTICAL NETWORKS FOR VISUAL REACHING

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    The cortical anatomical substrates by which visual information may influence the frontal areas controlling reaching movements to visual targets were studied in monkeys. A reaching task was employed to characterize the arm-related regions of the frontal lobe. Injections of retrograde tracers into these physiologically defined cortical fields revealed a gradient of parallel cortico-cortical pathways originating in the superior parietal lobule and impinging upon different frontal regions. These results support the hypothesis that the superior parietal lobule can supply the frontal motor and premotor areas not only with the proprioceptive information but also with the visual input required for the control of reaching

    The sources of visual information to the primate frontal lobe: A novel role for the superior parietal lobule

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    Reaching movements are performed in order to bring the hand to targets of interest. It is widely believed that the distributed cortical network underlying visual reaching transforms the information concerning the spatial location of the target into an appropriate motor command. Modern views decompose this process into sequences of coordinate transformations between informational domains. The set of cortical areas and pathways by which the information an target location is relayed from the visual areas of the occipital lobe to the motor areas of the frontal lobe have, so far, been pearly understood. Recent data from different fields of neuroscience offer the basis for a new definition of the cortical system subserving reaching and, at the same time, for a reconsideration of the nature of the underlying visuo-to-motor transformation

    CONTROLLED MOVEMENT PROCESSING: EVIDENCE FOR A COMMON INHIBITORY CONTROL OF FINGER, WRIST, AND ARM MOVEMENTS

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    We used the behavioral task and theoretical construct of the countermanding paradigm to test whether there is any difference between the inhibitory control of the finger, wrist, and arm. Participants were instructed (primary task) to respond to a directional go signal presented at the fovea by pressing a button with either their index or middle fingers, moving a joystick with their wrists, or reaching to a stimulus on a touch screen with their arms. They were also instructed (secondary task) to withhold their responses when a stop signal was presented on 25% of trials. The participants' ability to inhibit each of the commanded movements was captured by their inhibition probability function, which describes how withholding is increasingly difficult as the delay between the go and stop signals increased. By modeling each participant's inhibition function, we estimated that the time needed to inhibit a commanded movement was about 240 ms, a variable that did not differ significantly between the three limb segments. Moreover, we found that the best-fit model of each segment's inhibition function could fit equally well the inhibition functions obtained with the other two segments. These results provide evidence that the upper limb segments share a common inhibitory control, which may facilitate the regulation of neuronal activity within the distributed motor cortical representations and thus simplify the voluntary control of multi-segmental movements. (C) 2012 IBRO. Published by Elsevier Ltd. All rights reserved

    Dissociated multi-unit activity and local field potentials: A theory inspired analysis of a motor decision task

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    Local field potentials (LFP) and multi-unit activity (MUA) recorded in vivo are known to convey different information about the underlying neural activity. Here we extend and support the idea that single-electrode LFP-MUA task-related modulations can shed light on the involved large-scale, multi-modular neural dynamics. We first illustrate a theoretical scheme and associated simulation evidence, proposing that in a multi-modular neural architecture local and distributed dynamic properties can be extracted from the local spiking activity of one pool of neurons in the network. From this new perspective, the spectral features of the field potentials reflect the time structure of the ongoing fluctuations of the probed local neuronal pool on a wide frequency range. We then report results obtained recording from the dorsal premotor (PMd) cortex of monkeys performing a countermanding task, in which a reaching movement is performed, unless a visual stop signal is presented. We find that the LFP and MUA spectral components on a wide frequency band (3-2000 Hz) are very differently modulated in time for successful reaching, successful and wrong stop trials, suggesting an interplay of local and distributed components of the underlying neural activity in different periods of the trials and for different behavioural outcomes. Besides, the MUA spectral power is shown to possess a time-dependent structure, which we suggest could help in understanding the successive involvement of different local neuronal populations. Finally, we compare signals recorded from PMd and dorso-lateral prefrontal (PFCd) cortex in the same experiment, and speculate that the comparative time-dependent spectral analysis of LFP and MUA can help reveal patterns of functional connectivity in the brain. © 2010 Elsevier Inc
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