20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Prefrontal Control over Motor Cortex Cycles at Beta Frequency during Movement Inhibition

      brief-report

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          A fully adapted behavior requires maximum efficiency to inhibit processes in the motor domain [ 1]. Although a number of cortical and subcortical brain regions have been implicated, converging evidence suggests that activation of right inferior frontal gyrus (r-IFG) and right presupplementary motor area (r-preSMA) is crucial for successful response inhibition [ 2, 3]. However, it is still unknown how these prefrontal areas convey the necessary signal to the primary motor cortex (M1), the cortical site where the final motor plan eventually has to be inhibited or executed. On the basis of the widely accepted view that brain oscillations are fundamental for communication between neuronal network elements [ 4–6], one would predict that the transmission of these inhibitory signals within the prefrontal-central networks (i.e., r-IFG/M1 and/or r-preSMA/M1) is realized in rapid, periodic bursts coinciding with oscillatory brain activity at a distinct frequency. However, the dynamics of corticocortical effective connectivity has never been directly tested on such timescales. By using double-coil transcranial magnetic stimulation (TMS) and electroencephalography (EEG) [ 7, 8], we assessed instantaneous prefrontal-to-motor cortex connectivity in a Go/NoGo paradigm as a function of delay from (Go/NoGo) cue onset. In NoGo trials only, the effects of a conditioning prefrontal TMS pulse on motor cortex excitability cycled at beta frequency, coinciding with a frontocentral beta signature in EEG. This establishes, for the first time, a tight link between effective cortical connectivity and related cortical oscillatory activity, leading to the conclusion that endogenous (top-down) inhibitory motor signals are transmitted in beta bursts in large-scale cortical networks for inhibitory motor control.

          Highlights

          • r-IFG/l-M1 and r-preSMA/l-M1 connectivity increases during NoGo trials

          • Motor inhibitory signals are transmitted cortically in beta bursts

          • Effective connectivity is linked to beta oscillatory activity

          Abstract

          Picazio et al. examine the prefrontal-to-motor cortex effective connectivity in a Go/NoGo task as a function of delay from (Go/NoGo) cue onset by using double-coil transcranial magnetic stimulation and electroencephalography. They reveal that in NoGo trials only, causal inhibitory influences from prefrontal to motor cortex cycle at beta frequency.

          Related collections

          Most cited references22

          • Record: found
          • Abstract: found
          • Article: not found

          Breakdown of cortical effective connectivity during sleep.

          When we fall asleep, consciousness fades yet the brain remains active. Why is this so? To investigate whether changes in cortical information transmission play a role, we used transcranial magnetic stimulation together with high-density electroencephalography and asked how the activation of one cortical area (the premotor area) is transmitted to the rest of the brain. During quiet wakefulness, an initial response (approximately 15 milliseconds) at the stimulation site was followed by a sequence of waves that moved to connected cortical areas several centimeters away. During non-rapid eye movement sleep, the initial response was stronger but was rapidly extinguished and did not propagate beyond the stimulation site. Thus, the fading of consciousness during certain stages of sleep may be related to a breakdown in cortical effective connectivity.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Large-scale cortical correlation structure of spontaneous oscillatory activity.

            Little is known about the brain-wide correlation of electrophysiological signals. We found that spontaneous oscillatory neuronal activity exhibited frequency-specific spatial correlation structure in the human brain. We developed an analysis approach that discounts spurious correlation of signal power caused by the limited spatial resolution of electrophysiological measures. We applied this approach to source estimates of spontaneous neuronal activity reconstructed from magnetoencephalography. Overall, correlation of power across cortical regions was strongest in the alpha to beta frequency range (8–32 Hz) and correlation patterns depended on the underlying oscillation frequency. Global hubs resided in the medial temporal lobe in the theta frequency range (4–6 Hz), in lateral parietal areas in the alpha to beta frequency range (8–23 Hz) and in sensorimotor areas for higher frequencies (32–45 Hz). Our data suggest that interactions in various large-scale cortical networks may be reflected in frequency-specific power envelope correlations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Attention samples stimuli rhythmically.

              Overt exploration or sampling behaviors, such as whisking, sniffing, and saccadic eye movements, are often characterized by a rhythm. In addition, the electrophysiologically recorded theta or alpha phase predicts global detection performance. These two observations raise the intriguing possibility that covert selective attention samples from multiple stimuli rhythmically. To investigate this possibility, we measured change detection performance on two simultaneously presented stimuli, after resetting attention to one of them. After a reset flash at one stimulus location, detection performance fluctuated rhythmically. When the flash was presented in the right visual field, a 4 Hz rhythm was directly visible in the time courses of behavioral performance at both stimulus locations, and the two rhythms were in antiphase. A left visual field flash exerted only partial reset on performance and induced rhythmic fluctuation at higher frequencies (6-10 Hz). These findings show that selective attention samples multiple stimuli rhythmically, and they position spatial attention within the family of exploration behaviors. Copyright © 2012 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Journal
                Curr Biol
                Curr. Biol
                Current Biology
                Cell Press
                0960-9822
                1879-0445
                15 December 2014
                15 December 2014
                : 24
                : 24
                : 2940-2945
                Affiliations
                [1 ]Non-Invasive Brain Stimulation Unit, Clinical and Behavioral Neurology Department, IRCCS Santa Lucia Foundation, Rome 00179, Italy
                [2 ]Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK
                [3 ]Department of System Medicine, Tor Vergata University, Rome 00133, Italy
                [4 ]Stroke Unit, Department of Neuroscience, Policlinic Tor Vergata, Rome 00133, Italy
                Author notes
                []Corresponding author g.koch@ 123456hsantalucia.it
                Article
                S0960-9822(14)01352-9
                10.1016/j.cub.2014.10.043
                4274313
                25484293
                230159cc-5669-46ae-be66-dbd68e9f7574
                © 2014 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

                History
                : 5 May 2014
                : 4 September 2014
                : 14 October 2014
                Categories
                Report

                Life sciences
                Life sciences

                Comments

                Comment on this article