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      Neuropharmacological effect of atomoxetine on attention network in children with attention deficit hyperactivity disorder during oddball paradigms as assessed using functional near-infrared spectroscopy

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          Abstract.

          The current study aimed to explore the neural substrate for atomoxetine effects on attentional control in school-aged children with attention deficit hyperactivity disorder (ADHD) using functional near-infrared spectroscopy (fNIRS), which can be applied to young children with ADHD more easily than conventional neuroimaging modalities. Using fNIRS, we monitored the oxy-hemoglobin signal changes of 15 ADHD children (6 to 14 years old) performing an oddball task before and 1.5 h after atomoxetine or placebo administration, in a randomized, double-blind, placebo-controlled, crossover design. Fifteen age-, gender-, and intelligence quotient-matched normal controls without atomoxetine administration were also monitored. In the control subjects, the oddball task recruited the right prefrontal and inferior parietal cortices. The right prefrontal and parietal activation was normalized after atomoxetine administration in ADHD children. This was in contrast to our previous study using a similar protocol showing methylphenidate-induced normalization of only the right prefrontal function. fNIRS allows the detection of differential neuropharmacological profiles of both substances in the attentional network: the neuropharmacological effects of atomoxetine to upregulate the noradrenergic system reflected in the right prefrontal and inferior parietal activations and those of methylphenidate to upregulate the dopamine system reflected in the prefrontal cortex activation.

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          Stereotaxic display of brain lesions.

          Traditionally lesion location has been reported using standard templates, text based descriptions or representative raw slices from the patient's CT or MRI scan. Each of these methods has drawbacks for the display of neuroanatomical data. One solution is to display MRI scans in the same stereotaxic space popular with researchers working in functional neuroimaging. Presenting brains in this format is useful as the slices correspond to the standard anatomical atlases used by neuroimagers. In addition, lesion position and volume are directly comparable across patients. This article describes freely available software for presenting stereotaxically aligned patient scans. This article focuses on MRI scans, but many of these tools are also applicable to other modalities (e.g. CT, PET and SPECT). We suggest that this technique of presenting lesions in terms of images normalized to standard stereotaxic space should become the standard for neuropsychological studies.
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            Construction of a 3D probabilistic atlas of human cortical structures.

            We describe the construction of a digital brain atlas composed of data from manually delineated MRI data. A total of 56 structures were labeled in MRI of 40 healthy, normal volunteers. This labeling was performed according to a set of protocols developed for this project. Pairs of raters were assigned to each structure and trained on the protocol for that structure. Each rater pair was tested for concordance on 6 of the 40 brains; once they had achieved reliability standards, they divided the task of delineating the remaining 34 brains. The data were then spatially normalized to well-known templates using 3 popular algorithms: AIR5.2.5's nonlinear warp (Woods et al., 1998) paired with the ICBM452 Warp 5 atlas (Rex et al., 2003), FSL's FLIRT (Smith et al., 2004) was paired with its own template, a skull-stripped version of the ICBM152 T1 average; and SPM5's unified segmentation method (Ashburner and Friston, 2005) was paired with its canonical brain, the whole head ICBM152 T1 average. We thus produced 3 variants of our atlas, where each was constructed from 40 representative samples of a data processing stream that one might use for analysis. For each normalization algorithm, the individual structure delineations were then resampled according to the computed transformations. We next computed averages at each voxel location to estimate the probability of that voxel belonging to each of the 56 structures. Each version of the atlas contains, for every voxel, probability densities for each region, thus providing a resource for automated probabilistic labeling of external data types registered into standard spaces; we also computed average intensity images and tissue density maps based on the three methods and target spaces. These atlases will serve as a resource for diverse applications including meta-analysis of functional and structural imaging data and other bioinformatics applications where display of arbitrary labels in probabilistically defined anatomic space will facilitate both knowledge-based development and visualization of findings from multiple disciplines.
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              Prevalence and treatment of mental disorders among US children in the 2001-2004 NHANES.

              This article presents the 12-month prevalence estimates of specific mental disorders, their social and demographic correlates, and service use patterns in children and adolescents from the National Health and Nutrition Examination Survey, a nationally representative probability sample of noninstitutionalized US civilians. The sample includes 3042 participants 8 to 15 years of age from cross-sectional surveys conducted from 2001 to 2004. Data on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for mental disorders were derived from administration of selected modules of the National Institute of Mental Health Diagnostic Interview Schedule for Children, version IV, a structured diagnostic interview administered by lay interviewers to assess psychiatric diagnoses of children and adolescents. Twelve-month prevalence rates of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition-defined disorders in this sample were 8.6% for attention-deficit/hyperactivity disorder, 3.7% for mood disorders, 2.1% for conduct disorder, 0.7% for panic disorder or generalized anxiety disorder, and 0.1% for eating disorders. Boys had 2.1 times greater prevalence of attention-deficit/hyperactivity disorder than girls, girls had twofold higher rates of mood disorders than boys, and there were no gender differences in the rates of anxiety disorders or conduct disorder. Only approximately one half of those with one of the disorders assessed had sought treatment with a mental health professional. These data constitute a first step in building a national database on mental health in children and adolescents.
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                Author and article information

                Journal
                Neurophotonics
                Neurophotonics
                NEUROW
                NPh
                Neurophotonics
                Society of Photo-Optical Instrumentation Engineers
                2329-423X
                2329-4248
                1 October 2014
                October 2014
                : 1
                : 2
                : 025007
                Affiliations
                [a ]Jichi Medical University , Department of Pediatrics, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan
                [b ]Jichi Medical University , Department of Neurosurgery, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan
                [c ]Jichi Medical University , Functional Brain Science Laboratory, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan
                [d ]Chuo University , Applied Cognitive Neuroscience Laboratory, 1-13-27 Kasuga, Bunkyo, Tokyo 112-8551, Japan
                [e ]International University of Health and Welfare , Department of Pediatrics, 537-3 Iguchi, Nasushiobara, Tochigi 329-2763, Japan
                [f ]International University of Health and Welfare , 2600-1, Kitakanemaru, Otawara, Tochigi 324-8501, Japan
                [g ]International University of Health and Welfare , Rehabilitation Center, 2600-1, Kitakanemaru, Otawara, Tochigi 324-8501, Japan
                Author notes
                [* ]Address all correspondence to: Yukifumi Monden, E-mail: mon4441977319@ 123456jichi.ac.jp
                Article
                NPH-14057R 14057R
                10.1117/1.NPh.1.2.025007
                4478726
                26157979
                82b01d98-4126-4817-b759-83564a722ff8
                © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
                History
                : 11 July 2014
                : 14 September 2014
                : 16 September 2014
                Page count
                Figures: 4, Tables: 7, References: 85, Pages: 14
                Categories
                Research Papers
                Paper
                Custom metadata
                Nagashima et al.: Neuropharmacological effect of atomoxetine on attention network in children…

                serotonin,dorsolateral prefrontal cortex,optical topography,ventrolateral prefrontal cortex,target detection,autism spectrum disorder

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