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      Stop-event-related potentials from intracranial electrodes reveal a key role of premotor and motor cortices in stopping ongoing movements

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          Abstract

          In humans, the ability to withhold manual motor responses seems to rely on a right-lateralized frontal–basal ganglia–thalamic network, including the pre-supplementary motor area and the inferior frontal gyrus (IFG). These areas should drive subthalamic nuclei to implement movement inhibition via the hyperdirect pathway. The output of this network is expected to influence those cortical areas underlying limb movement preparation and initiation, i.e., premotor (PMA) and primary motor (M1) cortices. Electroencephalographic (EEG) studies have shown an enhancement of the N200/P300 complex in the event-related potentials (ERPs) when a planned reaching movement is successfully stopped after the presentation of an infrequent stop-signal. PMA and M1 have been suggested as possible neural sources of this ERP complex but, due to the limited spatial resolution of scalp EEG, it is not yet clear which cortical areas contribute to its generation. To elucidate the role of motor cortices, we recorded epicortical ERPs from the lateral surface of the fronto-temporal lobes of five pharmacoresistant epileptic patients performing a reaching version of the countermanding task while undergoing presurgical monitoring. We consistently found a stereotyped ERP complex on a single-trial level when a movement was successfully cancelled. These ERPs were selectively expressed in M1, PMA, and Brodmann's area (BA) 9 and their onsets preceded the end of the stop process, suggesting a causal involvement in this executive function. Such ERPs also occurred in unsuccessful-stop (US) trials, that is, when subjects moved despite the occurrence of a stop-signal, mostly when they had long reaction times (RTs). These findings support the hypothesis that motor cortices are the final target of the inhibitory command elaborated by the frontal–basal ganglia–thalamic network.

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          Oscillatory gamma activity in humans and its role in object representation.

          We experience objects as whole, complete entities irrespective of whether they are perceived by our sensory systems or are recalled from memory. However, it is also known that many of the properties of objects are encoded and processed in different areas of the brain. How then, do coherent representations emerge? One theory suggests that rhythmic synchronization of neural discharges in the gamma band (around 40 Hz) may provide the necessary spatial and temporal links that bind together the processing in different brain areas to build a coherent percept. In this article we propose that this mechanism could also be used more generally for the construction of object representations that are driven by sensory input or internal, top-down processes. The review will focus on the literature on gamma oscillatory activities in humans and will describe the different types of gamma responses and how to analyze them. Converging evidence that suggests that one particular type of gamma activity (induced gamma activity) is observed during the construction of an object representation will be discussed.
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            Brain-computer interfaces in neurological rehabilitation.

            Recent advances in analysis of brain signals, training patients to control these signals, and improved computing capabilities have enabled people with severe motor disabilities to use their brain signals for communication and control of objects in their environment, thereby bypassing their impaired neuromuscular system. Non-invasive, electroencephalogram (EEG)-based brain-computer interface (BCI) technologies can be used to control a computer cursor or a limb orthosis, for word processing and accessing the internet, and for other functions such as environmental control or entertainment. By re-establishing some independence, BCI technologies can substantially improve the lives of people with devastating neurological disorders such as advanced amyotrophic lateral sclerosis. BCI technology might also restore more effective motor control to people after stroke or other traumatic brain disorders by helping to guide activity-dependent brain plasticity by use of EEG brain signals to indicate to the patient the current state of brain activity and to enable the user to subsequently lower abnormal activity. Alternatively, by use of brain signals to supplement impaired muscle control, BCIs might increase the efficacy of a rehabilitation protocol and thus improve muscle control for the patient.
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              Human volition: towards a neuroscience of will.

              The capacity for voluntary action is seen as essential to human nature. Yet neuroscience and behaviourist psychology have traditionally dismissed the topic as unscientific, perhaps because the mechanisms that cause actions have long been unclear. However, new research has identified networks of brain areas, including the pre-supplementary motor area, the anterior prefrontal cortex and the parietal cortex, that underlie voluntary action. These areas generate information for forthcoming actions, and also cause the distinctive conscious experience of intending to act and then controlling one's own actions. Volition consists of a series of decisions regarding whether to act, what action to perform and when to perform it. Neuroscientific accounts of voluntary action may inform debates about the nature of individual responsibility.
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                Author and article information

                Journal
                Front Neuroeng
                Front Neuroeng
                Front. Neuroeng.
                Frontiers in Neuroengineering
                Frontiers Media S.A.
                1662-6443
                28 May 2012
                29 June 2012
                2012
                : 5
                : 12
                Affiliations
                [1] 1simpleDepartment of Technologies and Health, Istituto Superiore di Sanità, Viale Regina Elena Rome, Italy
                [2] 2simpleIRCCS Neuromed, Via Atinense Pozzilli (IS), Italy
                [3] 3simplePhD Program in Neurophysiology, Department of Physiology and Pharmacology, University of Rome La Sapienza Piazzale Aldo Moro Rome, Italy
                [4] 4simpleDepartment of Physiology and Pharmacology, University of Rome La Sapienza, Piazzale Aldo Moro Rome, Italy
                Author notes

                Edited by: Laura Ballerini, University of Trieste, Italy

                Reviewed by: Hari S. Sharma, Uppsala University, Sweden; Liang Guo, Massachusetts Institute of Technology, USA

                *Correspondence: G. Mirabella, Department of Physiology and Pharmacology “V. Erspamer”, La Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy. e-mail: giovanni.mirabella@ 123456uniroma1.it
                Article
                10.3389/fneng.2012.00012
                3386527
                22754525
                9df59a1f-47e8-455d-a327-0209e166170d
                Copyright © 2012 Mattia, Spadacenta, Pavone, Quarato, Esposito, Sparano, Sebastiano, Di Gennaro, Morace, Cantore and Mirabella.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.

                History
                : 11 April 2012
                : 15 June 2012
                Page count
                Figures: 5, Tables: 2, Equations: 2, References: 73, Pages: 13, Words: 10548
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                stop signal task,countermanding task,volitional inhibition,event-related potentials (erp),voluntary movements,electrocorticography (ecog),reaching movements

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