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      Irrelevant stimulus processing in ADHD: catecholamine dynamics and attentional networks

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          Abstract

          A cardinal symptom of attention deficit and hyperactivity disorder (ADHD) is a general distractibility where children and adults shift their attentional focus to stimuli that are irrelevant to the ongoing behavior. This has been attributed to a deficit in dopaminergic signaling in cortico-striatal networks that regulate goal-directed behavior. Furthermore, recent imaging evidence points to an impairment of large scale, antagonistic brain networks that normally contribute to attentional engagement and disengagement, such as the task-positive networks and the default mode network (DMN). Related networks are the ventral attentional network (VAN) involved in attentional shifting, and the salience network (SN) related to task expectancy. Here we discuss the tonic–phasic dynamics of catecholaminergic signaling in the brain, and attempt to provide a link between this and the activities of the large-scale cortical networks that regulate behavior. More specifically, we propose that a disbalance of tonic catecholamine levels during task performance produces an emphasis of phasic signaling and increased excitability of the VAN, yielding distractibility symptoms. Likewise, immaturity of the SN may relate to abnormal tonic signaling and an incapacity to build up a proper executive system during task performance. We discuss different lines of evidence including pharmacology, brain imaging and electrophysiology, that are consistent with our proposal. Finally, restoring the pharmacodynamics of catecholaminergic signaling seems crucial to alleviate ADHD symptoms; however, the possibility is open to explore cognitive rehabilitation strategies to top-down modulate network dynamics compensating the pharmacological deficits.

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          The attention system of the human brain.

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            Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

            In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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              Electrophysiological signatures of resting state networks in the human brain.

              Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This baseline is characterized by slow (<0.1 Hz) fluctuations of functional imaging signals that are topographically organized in discrete brain networks, and by much faster (1-80 Hz) electrical oscillations. To investigate the relationship between hemodynamic and electrical oscillations, we have adopted a completely data-driven approach that combines information from simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Using independent component analysis on the fMRI data, we identified six widely distributed resting state networks. The blood oxygenation level-dependent signal fluctuations associated with each network were correlated with the EEG power variations of delta, theta, alpha, beta, and gamma rhythms. Each functional network was characterized by a specific electrophysiological signature that involved the combination of different brain rhythms. Moreover, the joint EEG/fMRI analysis afforded a finer physiological fractionation of brain networks in the resting human brain. This result supports for the first time in humans the coalescence of several brain rhythms within large-scale brain networks as suggested by biophysical studies.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                26 March 2014
                2014
                : 5
                : 183
                Affiliations
                [1] 1Department of Psychiatry, Medical School, Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile Santiago, Chile
                [2] 2División de Neurociencia, Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo Santiago, Chile
                [3] 3Programa de Doctorado en Psicoterapia, Pontificia Universidad Católica de Chile Santiago, Chile
                [4] 4Servicio de Neurología y Psiquiatría, Hospital de Niños Dr. Luis Calvo Mackenna, Facultad de Medicina, Universidad de Chile Santiago, Chile
                Author notes

                Edited by: Nicole Wetzel, University of Leipzig, Germany

                Reviewed by: Anna Smith, Institute of Psychiatry – King’s College London, UK; Nora Vetter, Technische Universität Dresden, Germany

                *Correspondence: Francisco Aboitiz, Department of Psychiatry, Medical School, Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Psiquiatría, Avenue Marcoleta 391, Santiago 8330024, Chile e-mail: faboitiz@ 123456puc.cl

                This article was submitted to Developmental Psychology, a section of the journal Frontiers in Psychology.

                Article
                10.3389/fpsyg.2014.00183
                3972460
                24723897
                04ddffbb-1e16-495e-8cb5-5b1c72acba74
                Copyright © 2014 Aboitiz, Ossandón, Zamorano, Palma and Carrasco.

                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) or licensor 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
                : 28 June 2013
                : 14 February 2014
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 116, Pages: 15, Words: 0
                Categories
                Psychology
                Review Article

                Clinical Psychology & Psychiatry
                attention,cnv,fmri,p300,ventral attentional network
                Clinical Psychology & Psychiatry
                attention, cnv, fmri, p300, ventral attentional network

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