Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T13:43:22.880Z Has data issue: false hasContentIssue false

Interstimulus jitter facilitates response control in children with ADHD

Published online by Cambridge University Press:  11 December 2009

MATTHEW RYAN
Affiliation:
Developmental Cognitive Neurology, Kennedy Krieger Institute, Baltimore, Maryland
REBECCA MARTIN
Affiliation:
Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland
MARTHA B. DENCKLA
Affiliation:
Developmental Cognitive Neurology, Kennedy Krieger Institute, Baltimore, Maryland Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
STEWART H. MOSTOFSKY
Affiliation:
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland Laboratory for Neurocognitive and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland
E. MARK MAHONE*
Affiliation:
Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
*
*Correspondence and reprint requests to: E. Mark Mahone, Ph.D., Department of Neuropsychology, Kennedy Krieger Institute, 1750 East Fairmount Avenue, Baltimore, MD 21231. E-mail: [email protected]

Abstract

Interstimulus “jitter” involves randomization of intervals between successive stimulus events, and can facilitate performance on go/no-go tests among healthy adults, though its effect in clinical populations is unclear. Children with Attention-deficit/Hyperactivity Disorder (ADHD) commonly exhibit deficient response control, leading to increased intra-subject variability (ISV), which has been linked to anomalous functioning within frontal circuits, as well as their interaction with posterior “default mode” regions. We examined effects of interstimulus jitter on response variability in 39 children, ages 9–14 years (25 ADHD, 14 controls). Participants completed 2 computerized go/no-go tests: one with fixed interstimulus interval (ISI) and one with jittered ISI. Repeated measures analysis of variance (ANOVA) revealed a significant group–by test interaction, such that introduction of jitter produced a significant decrease in ISV among children with ADHD, but not among controls. Whereas children with ADHD were significantly more variable than controls on the go/no-go test with fixed ISI, their performance with jittered ISI was equivalent to that of controls. Jittering stimulus presentation provides a nonpharmacologic mechanism for improving response control in ADHD. This bottom-up approach may be mediated by increases in vigilance through noradrenergic circuits that facilitate maintenance of frontal circuits critical to response control. (JINS, 2010, 16, 388–393.)

Type
Brief Communications
Copyright
Copyright © The International Neuropsychological Society 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.Google Scholar
Andreou, P., Neale, B.M., Chen, W., Christiansen, H., Gabriels, I., Heise, A., et al. (2007). Reaction time performance in ADHD: Improvement under fast-incentive condition and familial effects. Psychological Medicine, 37, 17031715.CrossRefGoogle ScholarPubMed
Barkley, R.A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 6594.Google Scholar
Bellgrove, M.A., Hawi, Z., Kirley, A., Fitzgerald, M., Gill, M., & Robertson, I.H. (2005). Dissecting the attention deficit hyperactivity disorder (ADHD) phenotype: Sustained attention, response variability and spatial attentional asymmetries in relation to dopamine transporter (DAT1) genotype. Neuropsychologia, 43, 18471857.Google Scholar
Bidwell, L.C., Willcutt, E.G., DeFries, J.C., & Pennington, B.F. (2007). Testing for neuropsychological endophenotypes in siblings discordant for attention-deficit/hyperactivity disorder. Biological Psychiatry, 62, 991998.CrossRefGoogle ScholarPubMed
Conners, C.K. (1997). Connors’ Ratings Scale-Revised (CRS-R). Austin, TX: Pro-Ed.Google Scholar
Denckla, M.B. (1996). Biological correlates of learning and attention: What is relevant to learning disability and attention-deficit/hyperactivity disorder? Developmental and Behavioral Pediatrics, 17, 16.Google Scholar
Dennis, M., Francis, D.J., Cirino, P.T., Schachar, R., Barnes, M.A., & Fletcher, J.M. (2009). Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders. Journal of the International Neuropsychological Society, 15, 331343.Google Scholar
Di Martino, A., Ghaffari, M., Curchak, J., Reiss, P., Hyde, C., Vannucci, M., et al. (2008). Decomposing intrasubject variability in children with attention-deficit/hyperactivity disorder. Biological Psychiatry, 64, 607614.Google Scholar
DuPaul, G.J., Power, T.J., Anastopoulis, A.D., & Reid, R. (1998). ADHD rating scale-IV. New York: Guilford Press.Google Scholar
Epstein, J.N., Conners, C.K., Hervey, A.S., Tonev, S.T., Arnold, L.E., Abikoff, H.B., et al. (2006). Assessing medication effects in the MTA study using neuropsychological outcomes. Journal of Child Psychology and Psychiatry, 47, 446456.Google Scholar
Gilden, D.L., & Hancock, H. (2007). Response variability in attention-deficit disorders. Psychological Science, 18, 796802.Google Scholar
Harris, E.L., Schuerholz, L.J., Singer, H.S., Reader, M.J., Brown, J.E., Cox, C., et al. (1995). Executive function in children with Tourette syndrome and/or attention deficit hyperactivity disorder. Journal of the International Neuropsychological Society, 1, 511516.Google Scholar
Isoda, M., & Hikosaka, O. (2007). Switching from automatic to controlled action by monkey medical frontal cortex. Nature Neuroscience, 10, 240248.CrossRefGoogle Scholar
Jepsen, J.R.M., Fagerlund, B., & Mortensen, E.L. (2009). Do attention deficits influence IQ assessment in children and adolescents with ADHD? Journal of Attention Disorders, 12, 551562.Google Scholar
Karatekin, C. (2004). A test of the integrity of the components of Baddelely’s model of working memory in attention-deficit/hyperactivity disorder (ADHD). Journal of Child Psychology and Psychiatry, 45, 912926.Google Scholar
Kelly, C.A.M., Uddin, L.Q., Biswall, B.B., Castellanos, F.X., & Milham, M.P. (2008). Competition between functional brain networks mediates behavioral variability. Neuroimage, 39, 527537.Google Scholar
Klein, C., Wendling, K., Huettner, P., Ruder, H., & Peper, M. (2006). Intra-subject variability in attention-deficit hyperactivity disorder. Biological Psychiatry, 60, 10881097.Google Scholar
Kuntsi, J., Wood, A.C., van der Meere, J., & Asherson, P. (2009). Why cognitive performance in ADHD may not reveal true potential: Findings from a large population-based sample. Journal of the International Neuropsychological Society, 15, 570579.Google Scholar
Mahone, E.M., Mostofsky, S.H., Lasker, A.G., Zee, D., & Denckla, M.B. (2009). Oculomotor anomalies in attention-deficit/hyperactivity disorder: Evidence for deficits in response preparation and inhibition. Journal of the American Academy of Child and Adolescent Psychiatry, 48, 749756.Google Scholar
Mostofsky, S.H., & Simmonds, D.J. (2008). Response inhibition and response selection: Two sides of the same coin. Journal of Cognitive Neuroscience, 20, 111.Google Scholar
Pashler, H., & Johnston, J.C. (1989). Chronometric evidence for central postponement in temporally overlapping tasks. Quarterly Journal of Experimental Psychology, 41A, 1945.Google Scholar
Pliszka, S.R. (2005). The neuropsychopharmacology of attention-deficit hyperactivity disorder. Biological Psychiatry, 11, 13851390.CrossRefGoogle Scholar
Reich, W., Welner, Z., & Herjanic, B. (1997). The Diagnostic Interview for Children and Adolescents-Fourth Edition (DICA-IV). North Tonawanda, NY: Multi-Health Systems.Google Scholar
Rommelse, N.N.J., Altink, M.E., Oosterlaan, J., Beem, L., Buschgens, C.J.M., Buitelaar, J., & Sergeant, J.A. (2008). Speed, variability, and timing of motor output in ADHD: Which measures are useful for endophenotypic research? Behavioral Genetics, 38, 121132.Google Scholar
Rubia, K., Smith, A., & Taylor, E. (2007). Performance of children with attention deficit hyperactivity disorder (ADHD) on a test battery of impulsiveness. Child Neuropsychology, 13, 276304.Google Scholar
Sergeant, J.A., Geurts, H., Huijbregts, S., Scheres, A., & Oosterlaan, J. (2003). On the top and bottom of ADHD: A neuropsychological perspective. Neuroscience and Biobehavioral Reviews, 27, 583592.Google Scholar
Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J.P., Greenstein, D., et al. (2007). Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation. Proceedings of the National Academy of Sciences, 104, 1964919654.Google Scholar
Simmonds, D.J., Fotedar, S.G., Suskauer, S.J., Pekar, J.J., Denckla, M.B., & Mostofsky, S.H. (2007). Functional brain correlates of response time variability in children. Neuropsychologia, 46, 21472157.Google Scholar
Sonuga-Barke, E.J.S., Wiersema, J.R., van der Meere, J.J., & Roeyers, H. (2009). Context-dependent dynamic processes in attention deficit/hyperactivity disorder: Differentiating common and unique effects of state regulation deficits and delay aversion. Neuropsychological Review, DOI: 10.1007/s11065-009-9115-0.Google Scholar
Suskauer, S.J., Simmonds, D.J., Fotedar, S., Blankner, J.G., Pekar, J.J., Denckla, M.B., & Mostofsky, S.H. (2008). Functional magnetic resonance imaging evidence for abnormalities in response selection in attention deficit hyperactivity disorder: Differences in activation associated with response inhibition but not habitual motor response. Journal of Cognitive Neuroscience, 20, 478493.Google Scholar
Vaurio, R.G., Simmonds, D.J., & Mostofsky, S.H. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia, 47, 23892396.Google Scholar
Wechsler, D. (2003). Wechsler Intelligence Scale for Children-Fourth edition (WISC-IV). Minneapolis, MN: Pearson, Inc.Google Scholar
Wodka, E.L., Mahone, E.M., Blankner, J.G., Gidley Larson, J.C., Fotedar, S., Denckla, M.B., & Mostofsky, S.H. (2007). Evidence that response inhibition is a primary deficit in ADHD. Journal of Clinical and Experimental Neuropsychology, 29, 345356.Google Scholar
Woodcock, R.W., McGrew, K.S., & Mather, N. (2001). Woodcock Johnson Psychoeducational Battery-Third Edition. Chicago, IL: Riverside Publishing.Google Scholar
Wodka, E.L., Simmonds, D.J., Mahone, E.M., & Mostofsky, S.H. (2009). Moderate variability in stimulus presentation improves motor response control. Journal of Clinical and Experimental Neuropsychology, 31, 483488.Google Scholar