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Rapid visual information processing as a cognitive endophenotype of attention deficit hyperactivity disorder

Published online by Cambridge University Press:  08 April 2013

S. S.-F. Gau*
Affiliation:
Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan Department of Psychology, Graduate Institute of Clinical Medicine, Graduate Institute of Brain and Mind Sciences, and Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan Department of Psychiatry, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, Taiwan
W.-L. Huang
Affiliation:
Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan Department of Psychiatry, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, Taiwan
*
*Address for correspondence: S. S.-F. Gau, M.D., Ph.D., Department of Psychiatry, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, Taiwan10002. (Email: gaushufe@ntu.edu.tw)

Abstract

Background

Deficits in sustained attention and reaction time are core features of attention deficit hyperactivity disorder (ADHD). However, little is known about attention performance in unaffected siblings. Hence, we examined sustained attention and reaction time in youths with ADHD, unaffected siblings and controls to test whether impaired performance in attention tasks can be a potential endophenotype of ADHD.

Method

We recruited 438 probands with clinical diagnosis of ADHD according to DSM-IV criteria, 180 unaffected siblings, and 173 healthy controls without lifetime ADHD. They were assessed using psychiatric interviews, Conners’ Continuous Performance Test, and the tasks involving attention performance of the Cambridge Neuropsychological Test Automated Battery (CANTAB): Rapid Visual Information Processing (RVP), Reaction Time (RTI) and Match to Sample Visual Search (MTS). Multi-level models were used for data analysis.

Results

Compared with the controls, probands with ADHD and unaffected siblings had significantly higher total misses, lower probability of hits in the RVP task and probands with ADHD performed worse in the RTI and MTS tasks after controlling for sex, age, co-morbidity, parental educational levels and IQ. The duration of methylphenidate use and IQ but not psychiatric co-morbidity or current use of methylphenidate were associated with deficits in sustained attention in probands with ADHD.

Conclusions

Our findings suggest that attention performance assessed by the RVP task, but not the RTI or MTS tasks, of the CANTAB may be a useful cognitive endophenotype for ADHD genetic studies.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Advokat, C, Martino, L, Hill, BD, Gouvier, W (2007). Continuous Performance Test (CPT) of college students with ADHD, psychiatric disorders, cognitive deficits, or no diagnosis. Journal of Attention Disorders 10, 253256.CrossRefGoogle ScholarPubMed
Aman, MG, Armstrong, S, Buican, B, Sillick, T (2002). Four-year follow-up of children with low intelligence and ADHD: a replication. Research in Developmental Disabilities 23, 119134.CrossRefGoogle ScholarPubMed
Andreou, P, Neale, BM, Chen, W, Christiansen, H, Gabriels, I, Heise, A, Meidad, S, Muller, UC, Uebel, H, Banaschewski, T, Manor, I, Oades, R, Roeyers, H, Rothenberger, A, Sham, P, Steinhausen, HC, Asherson, P, Kuntsi, J (2007). Reaction time performance in ADHD: improvement under fast-incentive condition and familial effects. Psychological Medicine 37, 17031715.Google Scholar
Bidwell, LC, Willcutt, EG, Defries, JC, Pennington, BF (2007). Testing for neuropsychological endophenotypes in siblings discordant for attention-deficit/hyperactivity disorder. Biological Psychiatry 62, 991998.Google Scholar
Bolfer, C, Casella, EB, Baldo, MV, Mota, AM, Tsunemi, MH, Pacheco, SP, Reed, UC (2010). Reaction time assessment in children with ADHD. Arquivos de Neuro-Psiquiatria 68, 282286.Google Scholar
Castellanos, FX, Tannock, R (2002). Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes. Nature Reviews Neuroscience 3, 617628.Google Scholar
Cattapan-Ludewig, K, Hilti, CC, Ludewig, S, Vollenweider, FX, Feldon, J (2005). Rapid visual information processing in schizophrenic patients: the impact of cognitive load and duration of stimulus presentation. A pilot study. Neuropsychobiology 52, 130134.Google Scholar
Chiang, M, Gau, SS (2008). Validation of attention-deficit-hyperactivity disorder subtypes among Taiwanese children using neuropsychological functioning. Australian and New Zealand Journal of Psychiatry 42, 526535.CrossRefGoogle ScholarPubMed
Clark, L, Iversen, SD, Goodwin, GM (2002). Sustained attention deficit in bipolar disorder. British Journal of Psychiatry 180, 313319.CrossRefGoogle ScholarPubMed
Coghill, DR, Rhodes, SM, Matthews, K (2007). The neuropsychological effects of chronic methylphenidate on drug-naive boys with attention-deficit/hyperactivity disorder. Biological Psychiatry 62, 954962.Google Scholar
Coull, JT, Frith, CD, Frackowiak, RS, Grasby, PM (1996). A fronto-parietal network for rapid visual information processing: a PET study of sustained attention and working memory. Neuropsychologia 34, 10851095.CrossRefGoogle Scholar
Doyle, AE, Faraone, SV, Seidman, LJ, Willcutt, EG, Nigg, JT, Waldman, ID, Pennington, BF, Peart, J, Biederman, J (2005 a). Are endophenotypes based on measures of executive functions useful for molecular genetic studies of ADHD? Journal of Child Psychology and Psychiatry 46, 774803.Google Scholar
Doyle, AE, Willcutt, EG, Seidman, LJ, Biederman, J, Chouinard, VA, Silva, J, Faraone, SV (2005 b). Attention-deficit/hyperactivity disorder endophenotypes. Biological Psychiatry 57, 13241335.Google Scholar
Egerhazi, A, Berecz, R, Bartok, E, Degrell, I (2007). Automated Neuropsychological Test Battery (CANTAB) in mild cognitive impairment and in Alzheimer's disease. Progress in Neuro-Psychopharmacology and Biological Psychiatry 31, 746751.Google Scholar
Faraone, SV, Mick, E (2010). Molecular genetics of attention deficit hyperactivity disorder. Psychiatric Clinics of North America 33, 159180.Google Scholar
Garavan, HP (2003). Activation and deactivation during the rapid visual information processing task: an fMRI study. Journal of Cognitive Neuroscience 15, 10281038.Google Scholar
Gau, SS, Chiang, HL (2009). Sleep problems and disorders among adolescents with persistent and subthreshold attention-deficit/hyperactivity disorders. Sleep 32, 671679.Google Scholar
Gau, SS, Chong, MY, Chen, TH, Cheng, AT (2005). A 3-year panel study of mental disorders among adolescents in Taiwan. American Journal of Psychiatry 162, 13441350.Google Scholar
Gau, SS, Ni, HC, Shang, CY, Soong, WT, Wu, YY, Lin, LY, Chiu, YN (2010). Psychiatric comorbidity among children and adolescents with and without persistent attention-deficit hyperactivity disorder. Australian and New Zealand Journal of Psychiatry 44, 135143.CrossRefGoogle ScholarPubMed
Gau, SS, Shang, CY (2010). Executive functions as endophenotypes in ADHD: evidence from the Cambridge Neuropsychological Test Battery (CANTAB). Journal of Child Psychology and Psychiatry 51, 838849.CrossRefGoogle ScholarPubMed
Gau, SS, Soong, WT (1999). Psychiatric comorbidity of adolescents with sleep terrors or sleepwalking: a case–control study. Australian and New Zealand Journal of Psychiatry 33, 734739.CrossRefGoogle ScholarPubMed
Gilbert, DG, Izetelny, A, Radtke, R, Hammersley, J, Rabinovich, NE, Jameson, TR, Huggenvik, JI (2005). Dopamine receptor (DRD2) genotype-dependent effects of nicotine on attention and distraction during rapid visual information processing. Nicotine and Tobacco Research 7, 361379.Google Scholar
Gottesman, II, Gould, TD (2003). The endophenotype concept in psychiatry: etymology and strategic intentions. American Journal of Psychiatry 160, 636645.CrossRefGoogle ScholarPubMed
Hilti, CC, Hilti, LM, Heinemann, D, Robbins, T, Seifritz, E, Cattapan-Ludewig, K (2010). Impaired performance on the Rapid Visual Information Processing task (RVIP) could be an endophenotype of schizophrenia. Psychiatry Research 177, 6064.CrossRefGoogle ScholarPubMed
Kempton, S, Vance, A, Maruff, P, Luk, E, Costin, J, Pantelis, C (1999). Executive function and attention deficit hyperactivity disorder: stimulant medication and better executive function performance in children. Psychological Medicine 29, 527538.Google Scholar
Klotz, JM, Johnson, MD, Wu, SW, Isaacs, KM, Gilbert, DL (2012). Relationship between reaction time variability and motor skill development in ADHD. Child Neuropsychology 18, 576585.Google Scholar
Kollins, SH, Anastopoulos, AD, Lachiewicz, AM, FitzGerald, D, Morrissey-Kane, E, Garrett, ME, Keatts, SL, Ashley-Koch, AE (2008). SNPs in dopamine D2 receptor gene (DRD2) and norepinephrine transporter gene (NET) are associated with continuous performance task (CPT) phenotypes in ADHD children and their families. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 147B, 15801588.CrossRefGoogle ScholarPubMed
Kuntsi, J, Oosterlaan, J, Stevenson, J (2001). Psychological mechanisms in hyperactivity: I. Response inhibition deficit, working memory impairment, delay aversion, or something else? Journal of Child Psychology and Psychiatry 42, 199210.Google Scholar
Kuntsi, J, Rogers, H, Swinard, G, Borger, N, van der Meere, J, Rijsdijk, F, Asherson, P (2006). Reaction time, inhibition, working memory and ‘delay aversion’ performance: genetic influences and their interpretation. Psychological Medicine 36, 16131624.Google Scholar
Kurscheidt, JC, Peiler, P, Behnken, A, Abel, S, Pedersen, A, Suslow, T, Deckert, J (2008). Acute effects of methylphenidate on neuropsychological parameters in adults with ADHD: possible relevance for therapy. Journal of Neural Transmission 115, 357362.Google Scholar
Levaux, MN, Potvin, S, Sepehry, AA, Sablier, J, Mendrek, A, Stip, E (2007). Computerized assessment of cognition in schizophrenia: promises and pitfalls of CANTAB. European Psychiatry 22, 104115.Google Scholar
Losier, BJ, McGrath, PJ, Klein, RM (1996). Error patterns on the continuous performance test in non-medicated and medicated samples of children with and without ADHD: a meta-analytic review. Journal of Child Psychology and Psychiatry 37, 971987.Google Scholar
Luciana, M (2003). Practitioner review: computerized assessment of neuropsychological function in children: clinical and research applications of the Cambridge Neuropsychological Testing Automated Battery (CANTAB). Journal of Child Psychology and Psychiatry 44, 649663.Google Scholar
McGaughy, J, Dalley, JW, Morrison, CH, Everitt, BJ, Robbins, TW (2002). Selective behavioral and neurochemical effects of cholinergic lesions produced by intrabasalis infusions of 192 IgG-saporin on attentional performance in a five-choice serial reaction time task. Journal of Neuroscience 22, 19051913.CrossRefGoogle Scholar
McGee, RA, Clark, SE, Symons, DK (2000). Does the Conners' Continuous Performance Test aid in ADHD diagnosis? Journal of Abnormal Child Psychology 28, 415424.Google Scholar
Muir, JL, Everitt, BJ, Robbins, TW (1996). The cerebral cortex of the rat and visual attentional function: dissociable effects of mediofrontal, cingulate, anterior dorsolateral, and parietal cortex lesions on a five-choice serial reaction time task. Cerebral Cortex 6, 470481.CrossRefGoogle ScholarPubMed
Nigg, JT, Blaskey, LG, Stawicki, JA, Sachek, J (2004). Evaluating the endophenotype model of ADHD neuropsychological deficit: results for parents and siblings of children with ADHD combined and inattentive subtypes. Journal of Abnormal Psychology 113, 614625.Google Scholar
O'Connell, H, Coen, R, Kidd, N, Warsi, M, Chin, AV, Lawlor, BA (2004). Early detection of Alzheimer's disease (AD) using the CANTAB Paired Associates Learning Test. Internal Journal of Geriatric Psychiatry 19, 12071208.Google Scholar
Paclt, I, Drtilkova, I, Kopeckova, M, Theiner, P, Serý, O, Cermakova, N (2010). The association between TaqI A polymorphism of ANKK1 (DRD2) gene and ADHD in the Czech boys aged between 6 and 13 years. Neuroendocrinology Letters 31, 131136.Google Scholar
Polanczyk, G, de Lima, MS, Horta, BL, Biederman, J, Rohde, LA (2007). The worldwide prevalence of ADHD: a systematic review and metaregression analysis. American Journal of Psychiatry 164, 942948.Google Scholar
Rhodes, SM, Coghill, DR, Matthews, K (2006). Acute neuropsychological effects of methylphenidate in stimulant drug-naive boys with ADHD II – broader executive and non-executive domains. Journal of Child Psychology and Psychiatry 47, 11841194.Google Scholar
Robbins, TW, James, M, Owen, AM, Sahakian, BJ, McInnes, L, Rabbitt, P (1994). Cambridge Neuropsychological Test Automated Battery (CANTAB): a factor analytic study of a large sample of normal elderly volunteers. Dementia 5, 266281.Google Scholar
Rowland, AS, Lesesne, CA, Abramowitz, AJ (2002). The epidemiology of attention-deficit/hyperactivity disorder (ADHD): a public health view. Mental Retardation and Developmental Disability Research Reviews 8, 162170.CrossRefGoogle ScholarPubMed
Sahakian, B, Jones, G, Levy, R, Gray, J, Warburton, D (1989). The effects of nicotine on attention, information processing, and short-term memory in patients with dementia of the Alzheimer type. British Journal of Psychiatry 154, 797800.Google Scholar
Sahakian, BJ, Owen, AM (1992). Computerized assessment in neuropsychiatry using CANTAB: discussion paper. Journal of the Royal Society of Medicine 85, 399402.Google Scholar
Sahgal, A (1987). Some limitations of indices derived from signal detection theory: evaluation of an alternative index for measuring bias in memory tasks. Psychopharmacology (Berlin) 91, 517520.Google Scholar
Seidman, LJ, Biederman, J, Monuteaux, MC, Weber, W, Faraone, SV (2000). Neuropsychological functioning in nonreferred siblings of children with attention deficit/hyperactivity disorder. Journal of Abnormal Psychology 109, 252265.Google Scholar
Serý, O, Drtílková, I, Theiner, P, Pitelová, R, Staif, R, Znojil, V, Lochman, J, Didden, W (2006). Polymorphism of DRD2 gene and ADHD. Neuroendocrinology Letters 27, 236240.Google ScholarPubMed
Shang, CY, Gau, SS (2011). Visual memory as a potential cognitive endophenotype of attention deficit hyperactivity disorder. Psychological Medicine. Published online 2 06 2011 . doi:10.1017/S0033291711000857.Google Scholar
Sweeney, JA, Kmiec, JA, Kupfer, DJ (2000). Neuropsychologic impairments in bipolar and unipolar mood disorders on the CANTAB neurocognitive battery. Biological Psychiatry 48, 674684.Google Scholar
Szekely, A, Balota, DA, Duchek, JM, Nemoda, Z, Vereczkei, A, Sasvari-Szekely, M (2011). Genetic factors of reaction time performance: DRD4 7-repeat allele associated with slower responses. Genes, Brain and Behavior 10, 129136.Google Scholar
Wesnes, K, Warburton, DM (1984). Effects of scopolamine and nicotine on human rapid information processing performance. Psychopharmacology 82, 147150.Google Scholar
Wu, YH, Gau, SS, Lo, YC, Tseng, WY (2012). White matter tract integrity of frontostriatal circuit in attention deficit hyperactivity disorder: association with attention performance and symptoms. Human Brain Mapping. Published online 30 08 2012 . doi:10.1002/hbm.22169.Google Scholar