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Reaction Time Variability Associated with Reading Skills in Poor Readers with ADHD

Published online by Cambridge University Press:  17 February 2014

Leanne Tamm ,
Jeffery N. Epstein ,
Carolyn A. Denton ,
Aaron J. Vaughn ,
James Peugh  and
Erik G. Willcutt
Leanne Tamm*
Affiliation:
Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
Jeffery N. Epstein
Affiliation:
Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
Carolyn A. Denton
Affiliation:
Pediatrics, University of Texas Health Science Center Houston, Houston, Texas
Aaron J. Vaughn
Affiliation:
Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
James Peugh
Affiliation:
Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
Erik G. Willcutt
Affiliation:
Psychology and Neuroscience, University of Colorado at Boulder, Boulder, Colorado
*
Correspondence and reprint requests to: Leanne Tamm, Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue MLC 10006, Cincinnati, OH 45229-3039. E-mail: leanne.tamm@cchmc.org
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Abstract

Linkages between neuropsychological functioning (i.e., response inhibition, processing speed, reaction time variability) and word reading have been documented among children with attention-deficit/hyperactivity disorder (ADHD) and children with Reading Disorders. However, associations between neuropsychological functioning and other aspects of reading (i.e., fluency, comprehension) have not been well-documented among children with comorbid ADHD and Reading Disorder. Children with ADHD and poor word reading (i.e., ≤25th percentile) completed a stop signal task (SST) and tests of word reading, reading fluency, and reading comprehension. Multivariate multiple regression was conducted predicting the reading skills from SST variables [i.e., mean reaction time (MRT), reaction time standard deviation (SDRT), and stop signal reaction time (SSRT)]. SDRT predicted word reading, reading fluency, and reading comprehension. MRT and SSRT were not associated with any reading skill. After including word reading in models predicting reading fluency and reading comprehension, the effects of SDRT were minimized. Reaction time variability (i.e., SDRT) reflects impairments in information processing and failure to maintain executive control. The pattern of results from this study suggest SDRT exerts its effects on reading fluency and reading comprehension through its effect on word reading (i.e., decoding) and that this relation may be related to observed deficits in higher-level elements of reading. (JINS, 2014, 20, 1–10)

Keywords

Response timeInhibitionExecutive functionInformation processingCognitionDevelopmental reading disorder
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 20 , Issue 3 , March 2014 , pp. 292 - 301
Copyright
Copyright © The International Neuropsychological Society 2014 

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References

Alderson, R.M., Rapport, M.D., Kofler, M.J. (2007). Attention-deficit/hyperactivity disorder and behavioral inhibition: A meta-analytic review of the stop-signal paradigm. Journal of Abnormal Child Psychology, 35(5), 745–758. doi:10.1007/s10802-007-9131-6 Google Scholar
Altemeier, L.E., Abbott, R.D., Berninger, V.W. (2008). Executive functions for reading and writing in typical literacy development and dyslexia. Journal of Clinical and Experimental Neuropsychology, 30(5), 588–606. doi:10.1080/13803390701562818 CrossRefGoogle ScholarPubMed
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev ed.). Washington, DC: Author.Google Scholar
American Psychological Association. (2013). Diagnostic and statistical manual of mental disorders (5 ed.). Washington DC: Author.Google Scholar
Barkley, R.A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94.Google Scholar
Bellgrove, M.A., Hester, R., Garavan, H. (2004). The functional neuroanatomical correlates of response variability: Evidence from a response inhibition task. Neuropsychologia, 42(14), 1910–1916. doi:10.1016/j.neuropsychologia.2004.05.007 Google Scholar
Borella, E., Carretti, B., Pelegrina, S. (2010). The specific role of inhibition in reading comprehension in good and poor comprehenders. Journal of Learning Disabilities, 43(6), 541–552. doi:10.1177/0022219410371676 CrossRefGoogle ScholarPubMed
Borella, E., Chicherio, C., Re, A.M., Sensini, V., Cornoldi, C. (2011). Increased intraindividual variability is a marker of ADHD but also of dyslexia: A study on handwriting. Brain and Cognition, 77(1), 33–39. doi:10.1016/j.bandc.2011.06.005 Google Scholar
Breaux, K.C. (2008). Wechsler Individual Achievement Test - Second Edition: Interpreting performance on the reading comprehension subtest. San Antonio, TX: Pearson.Google Scholar
Brock, S.E., Knapp, P. (1996). Reading comprehension abilities of children with attention-deficit/hyperactivity disorder. Journal of Attention Disorders, 1(3), 173–185. doi:10.1177/108705479600100305 Google Scholar
Bussing, R., Fernandez, M., Harwood, M., Wei Hou, Garvan, C.W., Eyberg, S.M., Swanson, J.M. (2008). Parent and teacher SNAP-IV ratings of attention deficit hyperactivity disorder symptoms: Psychometric properties and normative ratings from a school district sample. Assessment, 15(3), 317–328. doi:10.1177/1073191107313888 Google Scholar
Carlson, S.M., Moses, L.J. (2001). Individual differences in inhibitory control and children's theory of mind. Child Development, 72(4), 1032–1053.CrossRefGoogle ScholarPubMed
Christopher, M.E., Miyake, A., Keenan, J.M., Pennington, B., DeFries, J.C., Wadsworth, S.J., Olson, R.K. (2012). Predicting word reading and comprehension with executive function and speed measures across development: A latent variable analysis. Journal of Experimental Psychology, 141(3), 470–488. doi:10.1037/a0027375 Google Scholar
Cirino, P.T., Fuchs, L.S., Elias, J.T., Powell, S.R., Schumacher, R.F. (2013). Cognitive and mathematical profiles for different forms of learning difficulties. Journal of Learning Disabilities. doi:10.1177/0022219413494239 Google Scholar
Denton, C.A. (2012). Response to intervention for reading difficulties in the primary grades: Some answers and lingering questions. Journal of Learning Disabilities, 45, 232–243.CrossRefGoogle ScholarPubMed
Epstein, J.N., Langberg, J.M., Rosen, P.J., Graham, A., Narad, M.E., Antonini, T.N., Altaye, M. (2011). Evidence for higher reaction time variability for children with ADHD on a range of cognitive tasks including reward and event rate manipulations. Neuropsychology, 25(4), 427–441. doi:10.1037/a0022155 Google Scholar
Froehlich, T.E., Lanphear, B.P., Epstein, J.N., Barbaresi, W.J., Katusic, S.K., Kahn, R.S. (2007). Prevalence, recognition, and treatment of attention-deficit/hyperactivity disorder in a national sample of US children. Archives of Pediatrics & Adolescent Medicine, 161(9), 857–864. doi:10.1001/archpedi.161.9.857 Google Scholar
Fuchs, D., Compton, D.L., Fuchs, L.S., Bryant, J., Davis, G.N. (2008). Making “secondary intervention” work in a three tier responsiveness-to-intervention model: Findings from the first-grade longitudinal reading study of the national research center on learning disabilities. Reading and Writing: An Interdisciplinary Journal, 21(4), 413–436.Google Scholar
Gau, S.S., Shang, C.Y., Liu, S.K., Lin, C.H., Swanson, J.M., Liu, Y.C., Tu, C.L. (2008). Psychometric properties of the Chinese version of the Swanson, Nolan, and Pelham, version IV scale - parent form. International Journal of Methods in Psychiatric Research, 17(1), 35–44. doi:10.1002/mpr.237 CrossRefGoogle Scholar
Ghelani, K., Sidhu, R., Jain, U., Tannock, R. (2004). Reading comprehension and reading related abilities in adolescents with reading disabilities and attention-deficit/hyperactivity disorder. Dyslexia, 10(4), 364–384. doi:10.1002/dys.285 Google Scholar
Gregg, K., Coleman, C.C., Stennett, R.R., Davis, M.M., Nielsen, K.K., Knight, D.D., Hoy, C.C. (2002). Sublexical and lexical processing of young adults with learning disabilities and attention deficit hyperactivity disorder. In E. Witruk, A. D. Friederici, T. Lachmann, E. Witruk, A. D. Friederici & T. Lachmann (Eds.), Basic functions of language, reading and reading disability (pp. 329–358). Dordrecht: Kluwer.Google Scholar
Hersen, M., Turner, S.M. (Eds.) (2003). Diagnostic interviewing (3rd ed.). New York: Springer.Google Scholar
Jacobson, L.A., Ryan, M., Denckla, M.B., Mostofsky, S.H., Mahone, E.M. (2013). Performance lapses in children with attention-deficit/hyperactivity disorder contribute to poor reading fluency. Archives of Clinical Neuropsychology. doi:10.1093/arclin/act048 Google Scholar
Jacobson, L.A., Ryan, M., Martin, R.B., Ewen, J., Mostofsky, S.H., Denckla, M.B., Mahone, E.M. (2011). Working memory influences processing speed and reading fluency in ADHD. Child Neuropsychology, 17(3), 209–224. doi:10.1080/09297049.2010.532204 CrossRefGoogle ScholarPubMed
Kaufman, A.S., Kaufman, N.L. (2004). Kaufman Brief Intelligence Test - Second Edition. Circle Pines: AGS.Google Scholar
Kim, Y.S., Wagner, R.K., Lopez, D. (2012). Developmental relations between reading fluency and reading comprehension: A longitudinal study from Grade 1 to Grade 2. Journal of Experimental Child Psychology, 113(1), 93–111. doi:10.1016/j.jecp.2012.03.002 Google Scholar
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(2), 199–210.Google Scholar
LaBerge, D., Samuels, S.J. (1974). Toward a theory of automatic information processing in reading. Cognitive Psychologist, 6, 292–323.Google Scholar
Li, J.J., Cutting, L.E., Ryan, M., Zilioli, M., Denckla, M.B., Mahone, E.M. (2009). Response variability in rapid automatized naming predicts reading comprehension. Journal of Clinical and Experimental Neuropsychology, 31(7), 877–888. doi:10.1080/13803390802646973 CrossRefGoogle ScholarPubMed
Lijffijt, M., Kenemans, J.L., Verbaten, M.N., van Engeland, H. (2005). A meta-analytic review of stopping performance in attention-deficit/hyperactivity disorder: Deficient inhibitory motor control? Journal of Abnormal Psychology, 114(2), 216–222. doi:10.1037/0021-843X.114.2.216 Google Scholar
Lipszyc, J., Schachar, R. (2010). Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task. Journal of the International Neuropsychological Society, 16(6), 1064–1076. doi:10.1017/S1355617710000895 Google Scholar
Locascio, G., Mahone, E.M., Eason, S.H., Cutting, L.E. (2010). Executive dysfunction among children with reading comprehension deficits. Journal of Learning Disabilities, 43(5), 441–454. doi:10.1177/0022219409355476 CrossRefGoogle ScholarPubMed
Logan, G.D., Cowan, W.B. (1984). On the ability to inhibit thought and action: A theory of an act of control. Psychological Review, 91, 295–327.Google Scholar
Logan, G.D., Cowan, W.B., Davis, K.A. (1984). On the ability to inhibit simple and choice reaction time responses: A model and a method. Journal of Experimental Psychology, Human Perception, and Performance, 10(2), 276–291.Google Scholar
Manly, T., Owen, A.M., McAvinue, L., Datta, A., Lewis, G.H., Scott, S.K., Robertson, I.H. (2003). Enhancing the sensitivity of a sustained attention task to frontal damage: Convergent clinical and functional imaging evidence. Neurocase, 9(4), 340–349. doi:10.1076/neur.9.4.340.15553 Google Scholar
Marzocchi, G.M., Oosterlaan, J., Zuddas, A., Cavolina, P., Geurts, H., Redigolo, D., Sergeant, J.A. (2008). Contrasting deficits on executive functions between ADHD and reading disabled children. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 49(5), 543–552. doi:10.1111/j.1469-7610.2007.01859.x Google Scholar
McGrath, L.M., Pennington, B.F., Shanahan, M.A., Santerre-Lemmon, L.E., Barnard, H.D., Willcutt, E.G., Olson, R.K. (2011). A multiple deficit model of reading disability and attention-deficit/hyperactivity disorder: Searching for shared cognitive deficits. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 52(5), 547–557. doi:10.1111/j.1469-7610.2010.02346.x Google Scholar
Miller, A.C., Keenan, J.M., Betjemann, R.S., Willcutt, E.G., Pennington, B.F., Olson, R.K. (2013). Reading comprehension in children with ADHD: Cognitive underpinnings of the centrality deficit. Journal of Abnormal Child Psychology, 41(3), 473–483. doi:10.1007/s10802-012-9686-8 Google Scholar
Moody, K.C., Holzer, C.E. III, Roman, M.J., Paulsen, K.A., Freeman, D.H., Haynes, M., James, T.N. (2000). Prevalence of dyslexia among Texas prison inmates. Texas Medicine, 96(6), 69–75.Google Scholar
Muthén, L.K., Muthén, B.O. (1998–2012). Mplus User's Guide (7th ed.). Los Angeles: Muthén & Muthén.Google Scholar
Nation, K., Cocksey, J., Taylor, J.S., Bishop, D.V. (2010). A longitudinal investigation of early reading and language skills in children with poor reading comprehension. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 51(9), 1031–1039. doi:10.1111/j.1469-7610.2010.02254.x CrossRefGoogle ScholarPubMed
Nation, K., Snowling, M. (1997). Assessing reading difficulties: The validity and utility of current measures of reading skill. The British Journal of Educational Psychology, 67(Pt 3), 359–370.Google Scholar
Pennington, B.F. (2006). From single to multiple deficit models of developmental disorders. Cognition, 101, 385–413.Google Scholar
Pham, A.V. (2013). Differentiating behavioral ratings of inattention, impulsivity, and hyperactivity in children: Effects on reading achievement. Journal of Attention Disorders. doi:10.1177/1087054712473833 Google Scholar
Protopapas, A., Sideridis, G.D., Mouzaki, A., Simos, P.G. (2011). Matthew effects in reading comprehension: Myth or reality? Journal of Learning Disabilities, 44(5), 402–420. doi:10.1177/0022219411417568 Google Scholar
Samuels, S.J. (2012). Reading fluency: Its past, present, and future. In T. Rasinski, C. Blachowicz & K. Lems (Eds.), Fluency instruction: Research-based best practices (2nd ed., pp. 3–16). New York: Guilford.Google Scholar
Samuelsson, S., Lundberg, I., Herkner, B. (2004). ADHD and reading disability in male adults: Is there a connection? Journal of Learning Disabilities, 37(2), 155–168.Google Scholar
Savage, R., Cornish, K., Manly, T., Hollis, C. (2006). Cognitive processes in children's reading and attention: The role of working memory, divided attention, and response inhibition. British Journal of Psychology, 97(Pt 3), 365–385. doi:10.1348/000712605×81370 Google Scholar
Schachar, R., Mota, V.L., Logan, G.D., Tannock, R., Klim, P. (2000). Confirmation of an inhibitory control deficit in attention-deficit/hyperactivity disorder. Journal of Abnormal Child Psychology, 28(3), 227–235.CrossRefGoogle ScholarPubMed
Sesma, H.W., Mahone, E.M., Levine, T., Eason, S.H., Cutting, L.E. (2009). The contribution of executive skills to reading comprehension. Child Neuropsychology, 15(3), 232–246. doi:10.1080/09297040802220029 Google Scholar
Shaffer, D., Fisher, P., Lucas, C.P., Dulcan, M.K., Schwab-Stone, M.E. (2000). NIMH Diagnostic Interview Schedule for Children Version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry, 39(1), 28–38.Google Scholar
Sheikhi, A.R., Martin, N., Hay, D., Piek, J.P. (2013). Phenotype refinement for comorbid attention deficit hyperactivity disorder and reading disability. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics, 162(1), 44–54. doi:10.1002/ajmg.b.32119 Google Scholar
Snowling, M.J., Hulme, C. (2012). Annual research review: The nature and classification of reading disorders--a commentary on proposals for DSM-5. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 53(5), 593–607. doi:10.1111/j.1469-7610.2011.02495.x Google Scholar
Swanson, H.L. (1999). Reading research for students with LD: A meta-analysis of intervention outcomes. Journal of Learning Disabilities, 32(6), 504–532.CrossRefGoogle ScholarPubMed
Swanson, J.M. (1992). School based assessments and interventions for ADHD students. Irvine, CA: KC Publishing.Google Scholar
Tamm, L., Narad, M.E., Antonini, T.N., O'Brien, K.M., Hawk, L.W. Jr., Epstein, J.N. (2012). Reaction time variability in ADHD: A review. Neurotherapeutics, 9(3), 500–508. doi:10.1007/s13311-012-0138-5 Google Scholar
Torgesen, J.K., Wagner, R.K., Rashotte, C.A. (1999). Test of Word Reading Efficiency (TOWRE). Novato, CA: Academic Therapy.Google Scholar
Wechsler, D. (2009). Wechsler Individual Achievement Test 3rd Edition (WIAT III). London: The Psychological Corp.Google Scholar
Wijnants, M.L., Hasselman, F., Cox, R.F., Bosman, A.M., Van Orden, G. (2012). An interaction-dominant perspective on reading fluency and dyslexia. Annals of Dyslexia, 62(2), 100–119. doi:10.1007/s11881-012-0067-3 Google Scholar
Willcutt, E.G., Betjemann, R.S., McGrath, L.M., Chhabildas, N.A., Olson, R.K., DeFries, J.C., Pennington, B.F. (2010). Etiology and neuropsychology of comorbidity between RD and ADHD: The case for multiple-deficit models. Cortex, 46(10), 1345–1361. doi:10.1016/j.cortex.2010.06.009 Google Scholar
Willcutt, E.G., Doyle, A.E., Nigg, J.T., Faraone, S.V., Pennington, B.F. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57(11), 1336–1346.Google Scholar
Willcutt, E.G., Pennington, B.F. (2000). Psychiatric comorbidity in children and adolescents with reading disability. Journal of Child Psychology and Psychiatry, 41(8), 1039–1048.Google Scholar
Willcutt, E.G., Pennington, B.F., Olson, R.K., Chhabildas, N., Hulslander, J. (2005). Neuropsychological analyses of comorbidity between reading disability and attention deficit hyperactivity disorder: In search of the common deficit. Developmental Neuropsychology, 27(1), 35–78. doi:10.1207/s15326942dn2701_3 CrossRefGoogle ScholarPubMed
Willcutt, E.G., Pennington, B.F., Olson, R.K., DeFries, J.C. (2007). Understanding comorbidity: A twin study of reading disability and attention-deficit/hyperactivity disorder. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics, 144B(6), 709–714. doi:10.1002/ajmg.b.30310 Google Scholar
Woodcock, R.W., McGrew, K.S., Mather, N. (2001). Woodcock-Johnson III. Itasca: Riverside.Google Scholar