Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-28T07:29:57.112Z Has data issue: false hasContentIssue false

Temporo-parietal Brain Activity as a Longitudinal Predictor of Response to Educational Interventions among Middle School Struggling Readers

Published online by Cambridge University Press:  11 July 2011

Roozbeh Rezaie*
Affiliation:
Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, Texas
Panagiotis G. Simos
Affiliation:
Department of Psychology, University of Crete, Rethymno, Crete, Greece
Jack M. Fletcher
Affiliation:
Department of Psychology, University of Houston, Houston, Texas
Paul T. Cirino
Affiliation:
Department of Psychology, University of Houston, Houston, Texas
Sharon Vaughn
Affiliation:
The Meadows Center for Preventing Educational Risk, University of Texas at Austin, Austin, Texas
Andrew C. Papanicolaou
Affiliation:
Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, Texas
*
Correspondence and reprint requests to: Roozbeh Rezaie, Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, Texas, 77030 USA. E-mail: roozbeh.rezaie@uth.tmc.edu

Abstract

Spatiotemporal brain activation profiles were obtained from 27 middle school students experiencing difficulties in reading comprehension as well as word-level skills (RD) and 23 age- and IQ-matched non-reading impaired students during performance of an oral pseudoword reading task using Magnetoencephalography (MEG). Based on their scores on standardized reading fluency tests 1 year later, students with RD who showed significant improvement were classified as Adequate Responders (AR) whereas those not demonstrating such gains were classified as Inadequate Responders (IR). At baseline, activation profiles of the AR group featured increased activity in the left supramarginal and angular gyri, as well as in the superior and middle temporal gyri, bilaterally compared to IR. The degree of activity in these regions was a significant predictor of the amount of subsequent gains in reading fluency. These results extend previous functional brain imaging findings of beginning readers, suggesting that recruitment of brain areas that typically serve as key components of the brain circuit for reading is an important factor in determining response to intervention in older struggling readers. (JINS, 2011, 17, 875–885)

Type
Regular Articles
Copyright
Copyright © The International Neuropsychological Society 2011

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

Achenbach, T.M. (1991). Manual for the child behavior checklist/4-18 & 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Cao, F., Bitan, T., Booth, J.R. (2008). Effective brain connectivity in children with reading difficulties during phonological processing. Brain and Language, 107, 91101.Google Scholar
Cao, F., Bitan, T., Chou, T.L., Burman, D.D., Booth, J.R. (2006). Deficient orthographic and phonological representations in children with dyslexia revealed by brain activation patterns. Journal of Child Psychology and Psychiatry, 47, 10411050.CrossRefGoogle ScholarPubMed
Chen, W.J., Faraone, S.V., Biederman, J., Tsuang, M.T. (1994). Diagnostic accuracy of the Child Behavior Checklist scales for attention-deficit hyperactivity disorder: A receiver-operating characteristic analysis. Journal of Consulting and Clinical Psychology, 62, 10171025.CrossRefGoogle ScholarPubMed
Dale, A.M., Fischl, B., Sereno, M.I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage, 9, 179194.Google Scholar
Davis, N., Fan, Q., Compton, D.L., Fuchs, D., Fuchs, L.S., Cutting, L.E., Anderson, A.W. (2010). Influences of neural pathway integrity on children's response to reading instruction. Frontiers in Systems Neuroscience, 4, 150.CrossRefGoogle ScholarPubMed
Démonet, J.F., Taylor, M.J., Chaix, Y. (2004). Developmental dyslexia. Lancet, 363, 14511460.Google Scholar
Desikan, R.S., Ségonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Killiany, R.J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage, 31, 968980.Google Scholar
Eden, G.F., Jones, K.M., Cappell, K., Gareau, L., Wood, F.B., Zeffiro, T.A., Flowers, D.L. (2004). Neural changes following remediation in adult developmental dyslexia. Neuron, 44, 411422.CrossRefGoogle ScholarPubMed
Eden, G.F., Zeffiro, T.A. (1998). Neural systems affected in developmental dyslexia revealed by functional neuroimaging. Neuron, 21, 279282.Google Scholar
Fletcher, J.M., Stuebing, K.K., Barth, A.E., Denton, C.A., Cirino, P.T., Francis, D.J., Vaughn, S.R. (in press) Cognitive correlates of inadequate response to intervention. School Psychology Review.Google Scholar
Gabrieli, J.D. (2009). Dyslexia: A new synergy between education and cognitive neuroscience. Science, 325, 280283.CrossRefGoogle ScholarPubMed
Hämäläinen, M.S., Ilmoniemi, R.J. (1994). Interpreting magnetic fields of the brain: Minimum norm estimates. Medical & Biological Engineering & Computing, 32, 3542.Google Scholar
Hampson, M., Tokoglu, F., Sun, Z., Schafer, R.J., Skudlarski, P., Gore, J.C., Constable, R.T. (2006). Connectivity-behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability. Neuroimage, 31, 513519.CrossRefGoogle ScholarPubMed
Hoeft, F., McCandliss, B.D., Black, J.M., Gantman, A., Zakerani, N., Hulme, C., Gabrieli, J.D. (2011). Neural systems predicting long-term outcome in dyslexia. Proceedings of the National Academy of Sciences (U S A), 108, 361366.Google Scholar
Hoeft, F., Meyler, A., Hernandez, A., Juel, C., Taylor-Hill, H., Martindale, J.L., Gabrieli, J.D. (2007). Functional and morphometric brain dissociation between dyslexia and reading ability. Proceedings of the National Academy of Sciences of the United States of America, 104, 42344239.Google Scholar
Hoeft, F., Ueno, T., Reiss, A.L., Meyler, A., Whitfield-Gabrieli, S., Glover, G.H., Gabrieli, J.D. (2007). Prediction of children's reading skills using behavioral, functional, and structural neuroimaging measures. Behavioral Neuroscience, 121, 602613.Google Scholar
Horwitz, B., Rumsey, J.M., Donohue, B.C. (1998). Functional connectivity of the angular gyrus in normal reading and dyslexia. Proceedings of the National Academy of Sciences of the United States of America, 95, 89398944.CrossRefGoogle ScholarPubMed
Jenkins, R., Fuchs, L.S., van den Broek, P., Espin, C., Deno, S.L. (2003). Sources of individual differences in reading comprehension and reading fluency. Educational Psychology, 95, 719729.Google Scholar
Jobard, G., Crivello, F., Tzourio-Mazoyer, N. (2003). Evaluation of the dual route theory of reading: A metanalysis of 35 neuroimaging studies. Neuroimage, 20, 693712.Google Scholar
Kim, Y.S., Petscher, Y., Schatschneider, C., Foorman, B. (2010). Does growth rate in oral reading fluency matter in predicting reading comprehension achievement? Journal of Educational Psychology, 102, 652667.Google Scholar
Maisog, J.M., Einbinder, E.R., Flowers, D.L., Turkeltaub, P.E., Eden, G.F. (2008). A meta-analysis of functional neuroimaging studies of dyslexia. Annals of the New York Academy of Sciences, 1145, 237259.Google Scholar
Marinković, K. (2004). Spatiotemporal dynamics of word processing in the human cortex. Neuroscientist, 10, 142152.CrossRefGoogle ScholarPubMed
Meyler, A., Keller, T.A., Cherkassky, V.L., Gabrieli, J.D., Just, M.A. (2008). Modifying the brain activation of poor readers during sentence comprehension with extended remedial instruction: A longitudinal study of neuroplasticity. Neuropsychologia, 46, 25802592.Google Scholar
Odegard, T.N., Ring, J., Smith, S., Biggan, J., Black, J. (2008). Differentiating the neural response to intervention in children with developmental dyslexia. Annals of Dyslexia, 58, 114.Google Scholar
Pollonini, L., Paditar, U., Situ, N., Rezaie, R., Papanicolaou, A.C., Zouridakis, G. (2010). Functional connectivity networks in the autistic and healthy brain assessed using granger causality. IEEE Engineering in Medicine and Biology, 2010, 17301733.Google ScholarPubMed
Pugh, K.R., Mencl, W.E., Shaywitz, B.A., Shaywitz, S.E., Fulbright, R.K., Constable, R.T., Gore, J.C. (2000). The angular gyrus in developmental dyslexia: Task-specific differences in functional connectivity within posterior cortex. Psychological Science, 11, 5156.Google Scholar
Salmelin, R., Helenius, P., Service, E. (2000). Neurophysiology of fluent and impaired reading: A magnetoencephalographic approach. Journal of Clinical Neurophysiology, 17, 163174.CrossRefGoogle Scholar
Schlaggar, B.L., McCandliss, B.D. (2007). Development of neural systems for reading. Annual Review of Neuroscience, 30, 475503.Google Scholar
Shaywitz, B.A., Shaywitz, S.E., Blachman, B.A., Pugh, K.R., Fulbright, R.K., Skudlarski, P., Gore, J.C. (2004). Development of left occipitotemporal systems for skilled reading in children after a phonologically-based intervention. Biological Psychiatry, 55, 926933.Google Scholar
Shaywitz, B.A., Shaywitz, S.E., Pugh, K.R., Mencl, W.E., Fulbright, R.K., Skudlarski, P., Gore, J.C. (2002). Disruption of posterior brain systems for reading in children with developmental dyslexia. Biological Psychiatry, 52, 101110.Google Scholar
Shaywitz, S.E., Shaywitz, B.A. (2006). Dyslexia (specific reading disability). Biological Psychiatry, 57, 13011309.Google Scholar
Simos, P.G., Breier, J.I., Fletcher, J.M., Bergman, E., Papanicolaou, A.C. (2000). Cerebral mechanisms involved in word reading in dyslexic children: A magnetic source imaging approach. Cerebral Cortex, 10, 809816.Google Scholar
Simos, P.G., Fletcher, J.M., Bergman, E., Breier, J.I., Foorman, B.R., Castillo, E.M., Papanicolaou, A.C. (2002). Dyslexia-specific brain activation profile become normal following successful remedial training. Neurology, 58, 12031213.Google Scholar
Simos, P.G., Fletcher, J.M., Sarkari, S., Billingsley, R.L., Denton, C., Papanicolaou, A.C. (2007). Altering the brain circuits for reading through intervention: A magnetic source imaging study. Neuropsychology, 21, 485496.CrossRefGoogle ScholarPubMed
Simos, P.G., Fletcher, J.M., Sarkari, S., Billingsley, R.L., Francis, D.J., Castillo, E.M., Papanicolaou, A.C. (2005). Early development of neurophysiological processes involved in normal reading and reading disability: A magnetic source imaging study. Neuropsychology, 19, 787798.Google Scholar
Simos, P.G., Fletcher, J.M., Sarkari, S., Billingsley-Marshall, R., Denton, C.A., Papanicolaou, A.C. (2007). Intensive instruction affects brain magnetic activity associated with oral word reading in children with persistent reading disabilities. Journal of Learning Disabilities, 40, 3748.Google Scholar
Simos, P.G., Rezaie, R., Fletcher, J.M., Juranek, J., Passaro, A.P., Li, Z., Papanicolaou, A.C. (2011). Functional disruption of the brain mechanism for reading: Effects of comorbidity and task difficulty among children with developmental learning problems. Neuropsychology, [Epub ahead of print].Google Scholar
Swanson, J., Schuck, S., Mann, M., Carlson, C., Hartman, K., Sergeant, J., McCleary, R. (2005). Categorical and dimensional definitions and evaluations of symptoms of ADHD: The SNAP and the SWAN Ratings Scales. Retrieved from http://www.adhd.netGoogle Scholar
Temple, E., Deutsch, G.K., Poldrack, R.A., Miller, S.L., Tallal, P., Merzenich, M.M., Gabrieli, J.D. (2003). Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 100, 28602865.Google Scholar
Temple, E., Poldrack, R.A., Salidis, J., Deutsch, G.K., Tallal, P., Merzenich, M.M., Gabrieli, J.D. (2001). Disrupted neural responses to phonological and orthographic processing in dyslexic children: An fMRI study. Neuroreport, 12, 299307.CrossRefGoogle ScholarPubMed
Torgesen, J.K., Wagner, R., Rashotte, C. (1999). Test of word reading efficiency. Austin, TX: Pro-Ed.Google Scholar
Tsiaras, V., Simos, P., Rezaie, R., Sheth, B., Garyfallidis, E., Martinez Castillo, E., Papanicolaou, A.C. (2011). Extracting biomarkers of autism from MEG based resting state functional connectivity networks. Computers in Biology and Medicine, [Epub ahead of print].CrossRefGoogle Scholar
van der Mark, S., Bucher, K., Maurer, U., Schulz, E., Brem, S., Buckelmuller, J., Brandeis, D. (2009). Children with dyslexia lack multiple specializations along the visual word-form (VWF) system. Neuroimage, 47, 19401949.CrossRefGoogle ScholarPubMed
Vaughn, S., Cirino, P.T., Wanzek, J., Wexler, J., Fletcher, J.M., Denton, C.A., Francis, D.J. (2010). Response to intervention for middle school students with reading difficulties: Effects of a primary and secondary intervention. School Psychology Review, 39, 321.CrossRefGoogle ScholarPubMed
Vaughn, S., Fletcher, J.M. (in press). RTI in secondary schools. Journal of Learning Disabilities.Google Scholar
Vaughn, S., Wanzek, J., Wexler, J., Barth, A., Cirino, P.T., Fletcher, J., Francis, D. (2010). The relative effects of group size on reading progress of older students with reading difficulties. Reading and Writing, 23, 931956.CrossRefGoogle ScholarPubMed
Yovanoff, P., Duesbery, L., Alonzo, J., Tindal, G. (2005). Grade-level invariance of a theoretical causal structure predicting reading comprehension with vocabulary and oral reading fluency. Educational Measurement: Issues and Practice, 24, 412.CrossRefGoogle Scholar