Linking aberrant pauses during object naming to letter and word decoding speed in elderly with attention complaints

References

• Bartfai, A., Asberg, M., Beser, A., Sorjonen, K., Wilczek, A., & Warkentin, S. (2021). Impaired cognitive functioning in stress-induced exhaustion disorder: A new tablet-based assessment. BMC Psychiatry, 21(1), 459. https://doi.org/10.1186/s12888-021-03454-1
   PubMed Web of Science ®Google Scholar
• CANTAB Connect Research: Admin Application User Guide. (2020, October 12). Cambridge Cognition LTD, Cambridge UK. https://www.cambridgecognition.com/
   Google Scholar
• Cantab Research, Suite 6 Cambridge Cognition Ltd, Cambridge UK. (2020, October 12). https://www.cambridgecognition.com/
   Google Scholar
• Carlsson, R., Håkansson, K., Persson, B., Terjestam, Y., Mohammed, A., & Warkentin, S. (2015). Validation of MapCogSpectra© with CANTAB tests of attention in an elderly population [Paper presentation]. Paper presented at the 5th Scientific Meeting of the ESN/12th Nordic Meeting in Neuropsychology.
   Google Scholar
• Czamara, D., Tiesler, C. M. T., Kohlböck, G., Berdel, D., Hoffmann, B., Bauer, C.-P., Koletzko, S., Schaaf, B., Lehmann, I., Herbarth, O., von Berg, A., Müller-Myhsok, B., Schulte-Körne, G., & Heinrich, J. (2013). Children with ADHD symptoms have a higher risk for reading, spelling and math difficulties in the GINIplus and LISAplus cohort studies. PLoS One, 8(5), e63859. https://doi.org/10.1371/journal.pone.0063859
   PubMed Web of Science ®Google Scholar
• Davis, O. S., Haworth, C. M., & Plomin, R. (2009). Learning abilities and disabilities: Generalist genes in early adolescence. Cognitive Neuropsychiatry, 14(4-5), 312–331. https://doi.org/10.1080/13546800902797106
   PubMedGoogle Scholar
• Denckla, M. B., & Cutting, L. E. (1999). History and significance of rapid automized naming. Annals of Dyslexia, 49(1), 29–42. https://doi.org/10.1007/s11881-999-0018-9
   Google Scholar
• Fischer, B. L., Gunter-Hunt, G., Steinhafel, C. H., & Howell, T. (2012). The identification and assessment of late-life ADHD in memory clinics. Journal of Attention Disorders, 16(4), 333–338. https://doi.org/10.1177/1087054711398886
   PubMed Web of Science ®Google Scholar
• Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. https://doi.org/10.1016/0022-3956(75)90026-6
   PubMed Web of Science ®Google Scholar
• Franceschini, S., Gori, S., Ruffino, M., Pedrolli, K., & Facoetti, A. (2012). A causal link between visual spatial attention and reading acquisition. Current Biology, 22, 814–819. https://doi.org/10.1016/j.cub.2012.03.013
   PubMed Web of Science ®Google Scholar
• Gabrieli, J. D., & Norton, E. S. (2012). Reading abilities: Importance of visual-spatial attention. Current Biology, 22(9), R298–299. https://doi.org/10.1016/j.cub.2012.03.041
   PubMed Web of Science ®Google Scholar
• Garcia, C. R., Bau, C. H. D., Silva, K. L., Callegari-Jacques, S. M., Salgado, C. A. I., Fischer, A. G., Victor, M. M., Sousa, N. O., Karam, R. G., Rohde, L. A., Belmonte-de-Abreu, P., & Grevet, E. H. (2012). The burdened life of adults with ADHD: Impairment beyond comorbidity. European Psychiatry, 27(5), 309–313. https://doi.org/10.1016/j.eurpsy.2010.08.002
   PubMed Web of Science ®Google Scholar
• Gough, P. B., & Tunmer, W. E. (1986). Decoding, reading, and reading disability. Remedial and Special Education, 7(1), 6–10. https://doi.org/10.1177/074193258600700104
   Google Scholar
• Guldberg-Kjar, T., & Johansson, B. (2015). ADHD symptoms across the lifespan: A comparison of symptoms captured by the Wender and Barkley Scales and DSM-IV criteria in a population-based Swedish sample aged 65 to 80. Journal of Attention Disorders, 19(5), 390–404. https://doi.org/10.1177/1087054713514853
   PubMed Web of Science ®Google Scholar
• Gunnarsson, H., Grahn, B., & Agerström, J. (2016). Impaired psychomotor ability and attention in patients with persistent pain: a cross-sectional comparative study. Journal of Pain Research, 9, 825–835. https://doi.org/10.2147/JPR.S114915
   PubMed Web of Science ®Google Scholar
• Heitz, R. P. (2014). The speed-accuracy tradeoff: History, physiology, methodology, and behavior. Frontiers in Neuroscience, 8, 150. https://doi.org/10.3389/fnins.2014.00150
   PubMed Web of Science ®Google Scholar
• IBM SPSS Statistics for Windows, Version 26.0. (2019). IBM Corp.
   Google Scholar
• Jacobson, C. (1995). Word Recognition Index (WRI) as a quick screening marker of dyslexia. The Irish Journal of Psychology, 16(3), 260–266. https://doi.org/10.1080/03033910.1995.10558061
   Web of Science ®Google Scholar
• Jacobson, C. (2014). Läskedjor (Word Chains). Hogrefe.
   Google Scholar
• Jacobson, C., & Lundberg, I. (2000). Early prediction of individual growth in reading. Reading and Writing, 13(3/4), 273–296. https://doi.org/10.1023/A:1026476712452
   Web of Science ®Google Scholar
• Kouros, I., Horberg, N., Ekselius, L., & Ramklint, M. (2018). Wender Utah Rating Scale-25 (WURS-25): Psychometric properties and diagnostic accuracy of the Swedish translation. Upsala Journal of Medical Sciences, 123(4), 230–236. https://doi.org/10.1080/03009734.2018.1515797
   PubMed Web of Science ®Google Scholar
• Kovas, Y., & Plomin, R. (2006). Generalist genes: Implications for the cognitive sciences. Trends in Cognitive Sciences, 10(5), 198–203. https://doi.org/10.1016/j.tics.2006.03.001
   PubMed Web of Science ®Google Scholar
• Langer, N., Benjamin, C., Becker, B. L. C., & Gaab, N. (2019). Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics. Human Brain Mapping, 40(9), 2677–2698. https://doi.org/10.1002/hbm.24552
   PubMed Web of Science ®Google Scholar
• Ledreux, A., Håkansson, K., Carlsson, R., Kidane, M., Columbo, L., Terjestam, Y., Ryan, E., Tusch, E., Winblad, B., Daffner, K., Granholm, A.-C., & Mohammed, A. K. H. (2019). Differential effects of physical exercise, cognitive training, and mindfulness practice on serum BDNF levels in healthy older adults: A randomized controlled intervention study. Journal of Alzheimer’s Disease, 71(4), 1245–1261. https://doi.org/10.3233/JAD-190756
   PubMed Web of Science ®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. https://doi.org/10.1080/13803390802646973
   PubMed Web of Science ®Google Scholar
• McGrath, L. M., Pennington, B. F., Shanahan, M. A., Santerre-Lemmon, L. E., Barnard, H. D., Willcutt, E. G., Defries, J. C., & 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
   PubMed Web of Science ®Google Scholar
• Neuhaus, G. F., Carlson, C. D., Jeng, W. M., Post, Y., & Swank, P. P. (2001). The reliability and validity of rapid automatized naming scoring software ratings for the determination of pause and articulation component durations. Educational and Psychological Measurement, 61(3), 490–504. https://doi.org/10.1177/00131640121971347
   Web of Science ®Google Scholar
• Norton, E. S., & Wolf, M. (2012). Rapid automatized naming (RAN) and reading fluency: Implications for understanding and treatment of reading disabilities. Annual Review of Psychology, 63, 427–452. doi:10.1146/annurev-psych-120710-100431
   PubMed Web of Science ®Google Scholar
• Pennington, B. F. (1999). Toward an integrated understanding of dyslexia: Genetic, neurological, and cognitive mechanisms. Development and Psychopathology, 11(3), 629–654. doi:10.1017/s0954579499002242
   PubMed Web of Science ®Google Scholar
• Persson, B., Carlsson, R., Mohammed, A., Terjestam, Y., & Warkentin, S. (2015 MapCog Spectra© in clinical practice with adults [Paper presentation]. Paper presented at the 5th Scientific Meeting of the ESN/12th Nordic Meeting in Neuropsychology.
   Google Scholar
• Pham, A. V., Fine, J. G., & Semrud-Clikeman, M. (2011). The influence of inattention and rapid automatized naming on reading performance. Archives of Clinical Neuropsychology, 26(3), 214–224. doi:10.1093/arclin/acr014
   PubMed Web of Science ®Google Scholar
• Pham, A. V., & Riviere, A. (2015). Specific learning disorders and ADHD: Current issues in diagnosis across clinical and educational settings. Current Psychiatry Reports, 17(6), 38. doi:10.1007/s11920-015-0584-y
   PubMed Web of Science ®Google Scholar
• Pliszka, S. R. (1998). Comorbidity of attention-deficit/hyperactivity disorder with psychiatric disorder: An overview. The Journal of Clinical Psychiatry, 59(Suppl 7), 50–58.
   PubMed Web of Science ®Google Scholar
• Plomin, R., & Haworth, C. M. (2009). Genetics of high cognitive abilities. Behavior Genetics, 39(4), 347–349. https://doi.org/10.1007/s10519-009-9277-9
   PubMed Web of Science ®Google Scholar
• Rolstad, S., Nordlund, A., Gustavsson, M. H., Eckerström, C., Klang, O., Hansen, S., & Wallin, A. (2008). The Swedish National Adult Reading Test (NART-SWE): A test of premorbid IQ. Scandinavian Journal of Psychology, 49(6), 577–582. https://doi.org/10.1111/j.1467-9450.2008.00677.x
   PubMed Web of Science ®Google Scholar
• Sonuga-Barke, E. J., & Castellanos, F. X. (2007). Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis. Neuroscience & Biobehavioral Reviews, 31(7), 977–986. https://doi.org/10.1016/j.neubiorev.2007.02.005
   PubMed Web of Science ®Google Scholar
• Taylor, J. S. H., Davis, M. H., & Rastle, K. (2019). Mapping visual symbols onto spoken language along the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America, 116(36), 17723–17728. https://doi.org/10.1073/pnas.1818575116
   PubMed Web of Science ®Google Scholar
• Wang, E., Sun, M., Tao, Y., Gao, X., Guo, J., Zhao, C., Li, H., Qian, Q., Wu, Z., Wang, Y., Sun, L., & Song, Y. (2017). Attentional selection predicts rapid automatized naming ability in Chinese-speaking children with ADHD. Scientific Reports, 7(1), 939. https://doi.org/10.1038/s41598-017-01075-x
   PubMedGoogle Scholar
• Ward, M. F., Wender, P. H., & Reimherr, F. W. (1993). The Wender Utah Rating Scale: An aid in the retrospective diagnosis of childhood attention deficit hyperactivity disorder. The American Journal of Psychiatry, 150(6), 885–890. doi:10.1176/ajp.150.6.885
   PubMed Web of Science ®Google Scholar
• Warkentin, S., Carlsson, R., Mohammed, A. K. H., Terjestam, Y., & Persson, B. A. (2015). Linking attentional lapses to perceptual fragmentation: Preliminary findings with the MapCog Spectra (MCS) [Paper presentation]. Paper presented at the 5th Scientific Meeting of the ESN/12th Nordic Meeting in Neuropsychology.
   Google Scholar
• Warkentin, S., Erikson, C., & Janciauskiene, S. (2008). rCBF pathology in Alzheimer's disease is associated with slow processing speed. Neuropsychologia, 46(5), 1193–1200. doi:10.1016/j.neuropsychologia.2007.08.029
   PubMed Web of Science ®Google Scholar
• Waxegård, G., Thulesius, H., & Warkentin, S. (2019). The MapCog Spectra - A tablet based attention test. Pilot validation in Swedish children with and without psychiatric and neurodevelopmental diagnoses. Linnaeus University dissertations, No 348/2019.
   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
   PubMed Web of Science ®Google Scholar
• World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053
   PubMed Web of Science ®Google Scholar