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      Attention Network Test in adults with ADHD - the impact of affective fluctuations

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          Abstract

          Background

          The Attention Network Test (ANT) generates measures of different aspects of attention/executive function. In the present study we investigated whether adults with ADHD performed different from controls on measures of accuracy, variability and vigilance as well as the control network. Secondly, we studied subgroups of adults with ADHD, expecting impairment on measures of the alerting and control networks in a subgroup with additional symptoms of affective fluctuations.

          Methods

          A group of 114 adults (ADHD n = 58; controls n = 56) performed the ANT and completed the Adult ADHD Rating Scale (ASRS) and the Mood Disorder Questionnaire (MDQ). The latter was used to define affective fluctuations.

          Results

          The sex distribution was similar in the two groups, but the ADHD group was significantly older ( p = .005) and their score on a test of intellectual function (WASI) significantly lower than in the control group ( p = .007). The two groups were not significantly different on measures of the three attention networks, but the ADHD group was generally less accurate ( p = .001) and showed a higher variability through the task ( p = .033).

          The significance was only retained for the accuracy measure when age and IQ scores were controlled for. Within the ADHD group, individuals reporting affective fluctuations ( n = 22) were slower ( p = .015) and obtained a lower score on the alerting network ( p = .018) and a higher score on the conflict network ( p = .023) than those without these symptoms. The significance was retained for the alerting network ( p = .011), but not the conflict network ( p = .061) when we controlled for the total ASRS and IQ scores.

          Discussion

          Adults with ADHD were characterized by impairment on accuracy and variability measures calculated from the ANT. Within the ADHD group, adults reporting affective fluctuations seemed to be more alert (i.e., less impacted by alerting cues), but slower and more distracted by conflicting stimuli than the subgroup without such fluctuations. The results suggest that the two ADHD subgroups are characterized by distinct patterns of attentional problems, and that the symptoms assessed by MDQ contribute to the cognitive heterogeneity characterizing groups of individuals with ADHD.

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          Most cited references46

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          The attention system of the human brain.

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            The activation of attentional networks.

            Alerting, orienting, and executive control are widely thought to be relatively independent aspects of attention that are linked to separable brain regions. However, neuroimaging studies have yet to examine evidence for the anatomical separability of these three aspects of attention in the same subjects performing the same task. The attention network test (ANT) examines the effects of cues and targets within a single reaction time task to provide a means of exploring the efficiency of the alerting, orienting, and executive control networks involved in attention. It also provides an opportunity to examine the brain activity of these three networks as they operate in a single integrated task. We used event-related functional magnetic resonance imaging (fMRI) to explore the brain areas involved in the three attention systems targeted by the ANT. The alerting contrast showed strong thalamic involvement and activation of anterior and posterior cortical sites. As expected, the orienting contrast activated parietal sites and frontal eye fields. The executive control network contrast showed activation of the anterior cingulate along with several other brain areas. With some exceptions, activation patterns of these three networks within this single task are consistent with previous fMRI studies that have been studied in separate tasks. Overall, the fMRI results suggest that the functional contrasts within this single task differentially activate three separable anatomical networks related to the components of attention.
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              The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population.

              A self-report screening scale of adult attention-deficit/hyperactivity disorder (ADHD), the World Health Organization (WHO) Adult ADHD Self-Report Scale (ASRS) was developed in conjunction with revision of the WHO Composite International Diagnostic Interview (CIDI). The current report presents data on concordance of the ASRS and of a short-form ASRS screener with blind clinical diagnoses in a community sample. The ASRS includes 18 questions about frequency of recent DSM-IV Criterion A symptoms of adult ADHD. The ASRS screener consists of six out of these 18 questions that were selected based on stepwise logistic regression to optimize concordance with the clinical classification. ASRS responses were compared to blind clinical ratings of DSM-IV adult ADHD in a sample of 154 respondents who previously participated in the US National Comorbidity Survey Replication (NCS-R), oversampling those who reported childhood ADHD and adult persistence. Each ASRS symptom measure was significantly related to the comparable clinical symptom rating, but varied substantially in concordance (Cohen's kappa in the range 0.16-0.81). Optimal scoring to predict clinical syndrome classifications was to sum unweighted dichotomous responses across all 18 ASRS questions. However, because of the wide variation in symptom-level concordance, the unweighted six-question ASRS screener outperformed the unweighted 18-question ASRS in sensitivity (68.7% v. 56.3%), specificity (99.5% v. 98.3%), total classification accuracy (97.9% v. 96.2%), and kappa (0.76 v. 0.58). Clinical calibration in larger samples might show that a weighted version of the 18-question ASRS outperforms the six-question ASRS screener. Until that time, however, the unweighted screener should be preferred to the full ASRS, both in community surveys and in clinical outreach and case-finding initiatives.
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                Author and article information

                Journal
                Behav Brain Funct
                Behavioral and Brain Functions : BBF
                BioMed Central
                1744-9081
                2011
                27 July 2011
                : 7
                : 27
                Affiliations
                [1 ]Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
                [2 ]Uni Research, Regional Centre for Child and Adolescent Mental Health, Bergen, Norway
                [3 ]Solli Hospital, Bergen, Norway
                [4 ]Department of Biomedicine, University of Bergen, Bergen, Norway
                [5 ]Department of Psychiatry, Haukeland University Hospital, Bergen, Norway
                [6 ]Mental Health Center for Child and Adolescent Psychiatry at Bispebjerg, Capital Region Psychiatry, Copenhagen, Denmark
                [7 ]Department of Neurology, Psychiatry and Sensory Sciences, University of Copenhagen, Copenhagen, Denmark
                [8 ]K.G. Jebsen Center for Research on Neuropsychiatric disorders, Bergen, Norway
                Article
                1744-9081-7-27
                10.1186/1744-9081-7-27
                3168400
                21794128
                2b0ace41-0eda-4404-8513-0b5464654abb
                Copyright ©2011 Lundervold et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 December 2010
                : 27 July 2011
                Categories
                Research

                Neurology
                Neurology

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