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      Disorder-specific functional abnormalities during sustained attention in youth with Attention Deficit Hyperactivity Disorder (ADHD) and with Autism

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          Abstract

          Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are often comorbid and share behavioural-cognitive abnormalities in sustained attention. A key question is whether this shared cognitive phenotype is based on common or different underlying pathophysiologies. To elucidate this question, we compared 20 boys with ADHD to 20 age and IQ matched ASD and 20 healthy boys using functional magnetic resonance imaging (fMRI) during a parametrically modulated vigilance task with a progressively increasing load of sustained attention. ADHD and ASD boys had significantly reduced activation relative to controls in bilateral striato–thalamic regions, left dorsolateral prefrontal cortex (DLPFC) and superior parietal cortex. Both groups also displayed significantly increased precuneus activation relative to controls. Precuneus was negatively correlated with the DLPFC activation, and progressively more deactivated with increasing attention load in controls, but not patients, suggesting problems with deactivation of a task-related default mode network in both disorders. However, left DLPFC underactivation was significantly more pronounced in ADHD relative to ASD boys, which furthermore was associated with sustained performance measures that were only impaired in ADHD patients. ASD boys, on the other hand, had disorder-specific enhanced cerebellar activation relative to both ADHD and control boys, presumably reflecting compensation. The findings show that ADHD and ASD boys have both shared and disorder-specific abnormalities in brain function during sustained attention. Shared deficits were in fronto–striato–parietal activation and default mode suppression. Differences were a more severe DLPFC dysfunction in ADHD and a disorder-specific fronto–striato–cerebellar dysregulation in ASD.

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          Most cited references36

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          Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain.

          We describe almost entirely automated procedures for estimation of global, voxel, and cluster-level statistics to test the null hypothesis of zero neuroanatomical difference between two groups of structural magnetic resonance imaging (MRI) data. Theoretical distributions under the null hypothesis are available for 1) global tissue class volumes; 2) standardized linear model [analysis of variance (ANOVA and ANCOVA)] coefficients estimated at each voxel; and 3) an area of spatially connected clusters generated by applying an arbitrary threshold to a two-dimensional (2-D) map of normal statistics at voxel level. We describe novel methods for economically ascertaining probability distributions under the null hypothesis, with fewer assumptions, by permutation of the observed data. Nominal Type I error control by permutation testing is generally excellent; whereas theoretical distributions may be over conservative. Permutation has the additional advantage that it can be used to test any statistic of interest, such as the sum of suprathreshold voxel statistics in a cluster (or cluster mass), regardless of its theoretical tractability under the null hypothesis. These issues are illustrated by application to MRI data acquired from 18 adolescents with hyperkinetic disorder and 16 control subjects matched for age and gender.
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            Gray matter volume abnormalities in ADHD: voxel-based meta-analysis exploring the effects of age and stimulant medication.

            Structural neuroimaging studies in attention-deficit hyperactivity disorder (ADHD) have been relatively inconsistent and have mainly been conducted with pediatric samples. Furthermore, there is evidence that stimulant medication may have an effect on brain structure. The authors conducted a meta-analysis of voxel-based morphometry studies in children and adults with ADHD and examined the potential effects of age and stimulant medication on regional gray matter volumes. The PubMed, ScienceDirect, Web of Knowledge, and Scopus databases were searched for articles published between 2001 and 2011. Manual searches were also conducted, and authors of studies were contacted for additional data. Coordinates were extracted from clusters of significant gray matter difference between ADHD patients and healthy comparison subjects. Metaregression methods were used to explore potential age and stimulant medication effects. Fourteen data sets comprising 378 patients with ADHD and 344 healthy subjects met inclusion criteria. The ADHD group had global reductions in gray matter volumes, which were robustly localized in the right lentiform nucleus and extended to the caudate nucleus. Both increasing age and percentage of patients taking stimulant medication were found to be independently associated with more normal values in this region. Patients also had slightly greater gray matter volumes in the left posterior cingulate cortex. These findings confirm that the most prominent and replicable structural abnormalities in ADHD are in the basal ganglia. They furthermore suggest that ADHD patients may progressively catch up with their developmental delay with advancing age and that use of stimulant medication may be associated with normalization of structural abnormalities in ADHD, although longitudinal studies are needed to confirm both observations.
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              The neural correlates of attention deficit hyperactivity disorder: an ALE meta-analysis.

              Attention deficit/hyperactivity disorder (ADHD) is one of the most prevalent and commonly studied forms of psychopathology in children and adolescents. Causal models of ADHD have long implicated dysfunction in fronto-striatal and frontal-parietal networks supporting executive function, a hypothesis that can now be examined systematically using functional neuroimaging. The present work provides an objective, unbiased statistically-based meta-analysis of published functional neuroimaging studies of ADHD. A recently developed voxel-wise quantitative meta-analytic technique known as activation likelihood estimation (ALE) was applied to 16 neuroimaging studies examining and contrasting patterns of neural activity in patients with ADHD and healthy controls. Voxel-wise results are reported using a statistical threshold of p < .05, corrected. Given the large number of studies examining response inhibition, additional meta-analyses focusing specifically on group differences in the neural correlates of inhibition were included. Across studies, significant patterns of frontal hypoactivity were detected in patients with ADHD, affecting anterior cingulate, dorsolateral prefrontal, and inferior prefrontal cortices, as well as related regions including basal ganglia, thalamus, and portions of parietal cortex. When focusing on studies of response inhibition alone, a more limited set of group differences were observed, including inferior prefrontal cortex, medial wall regions, and the precentral gyrus. In contrast, analyses focusing on studies of constructs other than response inhibition revealed a more extensive pattern of hypofunction in patients with ADHD than those of response inhibition. To date, the most consistent findings in the neuroimaging literature of ADHD are deficits in neural activity within fronto-striatal and fronto-parietal circuits. The distributed nature of these results fails to support models emphasizing dysfunction in any one frontal sub-region. While our findings are suggestive of the primacy of deficits in frontal-based neural circuitry underlying ADHD, we discuss potential biases in the literature that need to be addressed before such a conclusion can be fully embraced.
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                Author and article information

                Journal
                Mol Psychiatry
                Mol. Psychiatry
                Molecular Psychiatry
                Nature Publishing Group
                1359-4184
                1476-5578
                February 2013
                31 January 2012
                : 18
                : 2
                : 236-244
                Affiliations
                [1 ]Department of Child and Adolescent Psychiatry, Institute of Psychiatry, King's College London , London, UK
                [2 ]Centre for Integrative Neuroscience and Neurodynamics and School of Psychology and Clinical Language Sciences, University of Reading , London, UK
                [3 ]Department of Forensic and Developmental Sciences, Institute of Psychiatry, King's College London , London, UK
                [4 ]Department of Neuroimaging, Institute of Psychiatry, King's College London , London, UK
                Author notes
                [* ]Department of Child Psychiatry/MRC Center for Social, Genetic and Developmental Psychiatry (SGDP) , PO46, Institute of Psychiatry, 16 De Crespigny Park, London SE5 8AF, UK. E-mail: katya.rubia@ 123456kcl.ac.uk
                [5]

                These authors contributed equally to first authorship.

                [6]

                MRC AIMS Consortium is a collaboration of autism research centres in the UK including the Institute of Psychiatry, London, The Autism Research Centre, University of Cambridge, and the Autism Research Group, University of Oxford. It is funded by the MRC UK and headed by the Department of Forensic and Developmental Sciences, Institute of Psychiatry. The Consortium members are in alphabetical order: Bailey AJ, Baron-Cohen S, Bolton PF, Bullmore ET, Carrington S, Chakrabarti B, Daly EM, Deoni SC, Ecker C, Happe F, Henty J, Jezzard P, Johnston P, Jones DK, Lombardo M, Madden A, Mullins D, Murphy CM, Murphy DG, Pasco G, Sadek S, Spain D, Steward R, Suckling J, Wheelwright S, Williams SC.

                Article
                mp2011185
                10.1038/mp.2011.185
                3554878
                22290121
                a485d0fe-a7a6-49d6-9d2d-7a8d72b686b9
                Copyright © 2013 Macmillan Publishers Limited

                This work is licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 16 August 2011
                : 09 December 2011
                : 12 December 2011
                Categories
                Original Article

                Molecular medicine
                adhd,asd,attention,dorsolateral prefrontal cortex,fmri
                Molecular medicine
                adhd, asd, attention, dorsolateral prefrontal cortex, fmri

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