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      Transcranial Magnetic Stimulation to the Middle Frontal Gyrus During Attention Modes Induced Dynamic Module Reconfiguration in Brain Networks

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          Abstract

          The interaction between dorsal and ventral attention networks (VANs) is mediated by the middle frontal gyrus (MFG), which is functionally connected to both networks. However, the direct role of the MFG in selective and sustained attention remains controversial. In the current study, we used transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to probe the connectivity dynamic changes of MFG-associated regions during different attention modes. The participants underwent visual, selective, and sustained attention tasks to observe TMS-induced network changes. Twenty healthy participants received single-pulse TMS over the left or right MFG during tasks, while synchronous EEG data was acquired. Behavioral results were recorded and time-varying brain network analyses were performed. We found that the MFG is involved in attention processing and that sustained attention was preferentially controlled by the right MFG. Moreover, compared with the right hemisphere, the left hemisphere was associated with selective attention tasks. Visual and selective attention tasks induced MFG-related changes in network nodes were within the left hemisphere; however, sustained attention induced changes in network nodes were in the bilateral posterior MFG. Our findings indicated that the MFG plays a crucial role in regulating attention networks. In particular, TMS-induced MFG alterations influenced key nodes of the time-varying brain network, leading to the reorganization of brain network modules.

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          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.
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            Prefrontal Parvalbumin Neurons in Control of Attention

            Summary While signatures of attention have been extensively studied in sensory systems, the neural sources and computations responsible for top-down control of attention are largely unknown. Using chronic recordings in mice, we found that fast-spiking parvalbumin (FS-PV) interneurons in medial prefrontal cortex (mPFC) uniformly show increased and sustained firing during goal-driven attentional processing, correlating to the level of attention. Elevated activity of FS-PV neurons on the timescale of seconds predicted successful execution of behavior. Successful allocation of attention was characterized by strong synchronization of FS-PV neurons, increased gamma oscillations, and phase locking of pyramidal firing. Phase-locked pyramidal neurons showed gamma-phase-dependent rate modulation during successful attentional processing. Optogenetic silencing of FS-PV neurons deteriorated attentional processing, while optogenetic synchronization of FS-PV neurons at gamma frequencies had pro-cognitive effects and improved goal-directed behavior. FS-PV neurons thus act as a functional unit coordinating the activity in the local mPFC circuit during goal-driven attentional processing.
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              Transcranial magnetic stimulation in cognitive neuroscience--virtual lesion, chronometry, and functional connectivity.

              Fifteen years after its introduction by Anthony Barker, transcranial magnetic stimulation (TMS) appears to be 'coming of age' in cognitive neuroscience and promises to reshape the way we investigate brain-behavior relations. Among the many methods now available for imaging the activity of the human brain, magnetic stimulation is the only technique that allows us to interfere actively with brain function. As illustrated by several experiments over the past couple of years, this property of TMS allows us to investigate the relationship between focal cortical activity and behavior, to trace the timing at which activity in a particular cortical region contributes to a given task, and to map the functional connectivity between brain regions.
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                Author and article information

                Contributors
                Journal
                Front Neuroinform
                Front Neuroinform
                Front. Neuroinform.
                Frontiers in Neuroinformatics
                Frontiers Media S.A.
                1662-5196
                03 April 2019
                2019
                : 13
                : 22
                Affiliations
                [1] 1Department of Neurology, Xuanwu Hospital, Capital Medical University , Beijing, China
                [2] 2Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China , Chengdu, China
                [3] 3Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University , Beijing, China
                [4] 4Beijing Key Laboratory of Neuromodulation , Beijing, China
                Author notes

                Edited by: Tianyi Yan, Beijing Institute of Technology, China

                Reviewed by: Jiaojian Wang, University of Pennsylvania, United States; Pauly Ossenblok, Eindhoven University of Technology, Netherlands

                *Correspondence: Yuping Wang wangyuping01@ 123456sina.cn
                Article
                10.3389/fninf.2019.00022
                6456710
                31001103
                2ae296ff-6f0e-42df-9f43-a4a60416cb6d
                Copyright © 2019 Song, Lin, Liu, Jiang, Lin, Xue, Xu and Wang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 October 2018
                : 14 March 2019
                Page count
                Figures: 4, Tables: 0, Equations: 1, References: 40, Pages: 9, Words: 5158
                Funding
                Funded by: Beijing Municipal Science and Technology Commission 10.13039/501100009592
                Award ID: Z161100002616001
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 81501119, 81771398
                Categories
                Neuroscience
                Original Research

                Neurosciences
                middle frontal gyrus,tms-eeg,attention,time-varying network,reorganization
                Neurosciences
                middle frontal gyrus, tms-eeg, attention, time-varying network, reorganization

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