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Electrophysiological and Neuroimaging Techniques in Neuropsychology

  • Chapter
Child Neuropsychology

Abstract

There are technological advances in all areas of medicine, and the techniques to diagnose neuropsychological problems are no exception. These advances have moved neuropsychology from a practice emphasizing assessment to determine focal and diffuse lesions to one of developing interventions to compensate for brain damage or neurodevelopmental differences. Historically, neuropsychology has concentrated on the ability to diagnose cerebral lesions on the basis of behavioral data. This emphasis was necessary because technology was unable to provide the evidence for such diagnoses. With the advent of magnetic resonance imaging (MRI), lesions, brain tumors, and brain conditions that previously could be seen only with surgery or at autopsy can now be observed in the living patient. Because the neuropsychologist will consult on cases that utilize neuroradiological and electrophysiological techniques, it is important to understand what these basic techniques involve and what they reveal to the clinician. This chapter will provide information about common neuroradiological and electrophysiological techniques with an emphasis on the information neuropsychologists and psychologists need for their practice.

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References

  • Abell, F., Krams, M., Ashburner, J., Passingham, R., Friston, K., Frackowiak, R., et al. (1999). The neuroanatomy of autism: A voxel-based whole brain analysis of structural scans. Cognitive Neuroscience, 10, 1647–1651.

    Google Scholar 

  • Adolphs, R. (2001). The neurobiology of social cognition. Current Opinion in Neurobiology Cognitive Neuroscience., 11, 231–239.

    Article  Google Scholar 

  • Aldridge, M. A., Braga, E. S., Walton, G. E., & Bower, T. G. R. (1999). The intermodal representation of speech in newborns. Developmental Science, 2, 42–46.

    Article  Google Scholar 

  • Alexander, A. L., Lee, J. E., Lazar, M., Boudos, R., Dubray, M. B., Oakes, T. R., et al. (2007). Diffusion tensor imaging of the corpus callosum in autism. NeuroImage, 34, 61–73.

    Article  PubMed  Google Scholar 

  • Allison, T., Puce, A., & McCarthy, G. (2000). Social perception from visual cues: Role of the STS region. Trends in Cognitive Sciences, 4, 1364–1366.

    Article  Google Scholar 

  • Amaral, D. G., Price, J. L., Pitkanan, A., & Carmichael, S. T. (1992). Anatomical organization of the primate amygdaloid complex. In J. Aggleton (Ed.), The amygdala: Neurobiological aspects of emotion, memory and mental dysfunction. New York: Wiley.

    Google Scholar 

  • Ashtari, M., Kumra, S., Bhaskar, S. L., Clarke, T., Thaden, E., Cervellione, K. L., et al. (2005). Attention-deficit/hyperactivity disorder: A preliminary diffusion tensor imaging study. Biological Psychiatry, 57, 448–455.

    Article  PubMed  Google Scholar 

  • Ashwin, C., Wheelwright, S., & Baron-Cohen, S. (2006). Attention bias to faces in Asperger Syndrome: A pictorial emotion Stroop study. Psychological medicine, 36(6),835–843.

    Article  PubMed  Google Scholar 

  • Aylward, E. H., Minshew, N. J., Field, K., Sparks, B. F., & Singh, N. (2002). Effects of age on brain volume and head circumference in autism. Neurology, 59, 175–183.

    Article  PubMed  Google Scholar 

  • Baron-Cohen, S., Ring, H. A., Wheelwright, S., Bullmore, E. T., Brammer, M. J., Simmons, A., et al. (1999). Social intelligence in the normal and autistic brain: An fMRI study. European Journal Neuroscience, 11, 1891–1898.

    Article  Google Scholar 

  • Barry, R. J., Johnstone, B., & Clark, C. A. (2003). A review of electrophysiology in attention-deficit/hyeractivity disorder: II. Event-related potentials. Clinical Neurophysiology, 114, 184–198.

    Article  PubMed  Google Scholar 

  • Bechara, A., Damasio, H., & Damasio, A. R. (2003). The role of the amygdala in decision making. Annals of the New York Academy of Sciences, 985, 356–369.

    Article  PubMed  Google Scholar 

  • Berninger, V. W., Abbott, R. D., Abbott, S. P., Graham, S., & Richards, T. (2002). Writing and reading: connections between language by hand and language by eye. Journal of Learning Disabilities, 35, 39–56.

    Article  PubMed  Google Scholar 

  • Bishop, D. V. M. (2007). Using mismatch negativity to study central auditory processing in developmental language and literacy impairments: Where are we, and where should we be going? Psychological Bulletin, 133, 651–672.

    Article  PubMed  Google Scholar 

  • Black, L. S., deRegnier, R. A., Long, J., Georgieff, M. K., & Nelson, C. A. (2004). Electrographic imaging of recognition memory in 34–38 week gestation intrauterine growth restricted newborns. Experimental Neurology, 190, S72–S83.

    Article  PubMed  Google Scholar 

  • Boger-Megiddo, I. B., Shaw, D. W., Friedman, S. D., Sparks, B. F., Artru, A. A., Giedd, J. N., et al. (2006). Corpus callosum morphometrics in young children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 36, 733–739.

    Article  PubMed  Google Scholar 

  • Bolter, J. R. (1986). Epilepsy in children: Neuropsychological effects. In J.E. Obzrut & G.W. Hynd (Eds.), Child neuro-psychology: Clinical practice (pp. 59–81). New York: Academic Press.

    Chapter  Google Scholar 

  • Broyd, S. J., Johnstone, S. J., Barry, R. J., Clarke, A. R., McCarthy, R., Selikowitz, M., et al. (2005). The effect of methylphenidate on response inhibition and the event-related potential of children with Attention Deficit/Hyperactivity Disorder. International Journal of Psychophysiology, 58, 47–58.

    Article  PubMed  Google Scholar 

  • Burgio-Murphy, A., Klorman, R., Shaywitz, S. E., Fletcher, J. M., Marchione, K. E., Holahan, J. M., et al. (2007). Error-related event-related potentials in children with attention-deficit hyperactivity disorder, oppositional defiant disorder, reading disorder, and math disorder. Biological Psychology, 75, 75–86.

    Article  PubMed  Google Scholar 

  • Canli, T., Sivers, H., Whitfield, S. L., Gotlib, I. H., & Gabrieli, J. D. (2002). Amygdala response to happy faces as a function of extraversion. Science, 296(5576), 2191.

    Article  PubMed  Google Scholar 

  • Caplan, L. J., Schmahmann, J. D., & Kase, C. S. (1990). Caudate infarcts. Archives of Neurology, 47, 133–143.

    Article  PubMed  Google Scholar 

  • Carmichael, S. T., & Price, J. L. (1995). Limbic connections of the orbital and medial prefrontal cortex in macaque monkeys. The Journal of Comparative Neurology, 363, 615–641.

    Article  PubMed  Google Scholar 

  • Castellanos, F. X., Giedd, J. N., Eckburg, W. L., Marsh, A. C., Kaysen, D., Hamburger, S. D., et al. (1994). Quantitative morphology of the caudate nucleus in attention deficit hyperactivity disorder. American Journal of Psychiatry, 151, 1791–1796.

    Article  PubMed  Google Scholar 

  • Chiappa, K. H. (1997). Evoked potentials in clinical medicine. Philadelphia, PA: Lippincott-Raven.

    Google Scholar 

  • Chung, M. K., Dalton, K. M., Alexander, A. L., & Davidson, R. J. (2004). Less white matter concentration in autism: 2D voxel-based morphometry. NeuroImage, 23, 242–251.

    Article  PubMed  Google Scholar 

  • Cohen, D. J. (1986). Pediatric magnetic resonance imaging. Philadelphia, PA: W.B. Saunders.

    Google Scholar 

  • Courchesne, E., Carper, R., & Akshoomoff, N. (2003). Evidence of brain overgrowth in the first year of life in autism. The Journal of the American Medical Association, 290, 337–344.

    Article  PubMed  Google Scholar 

  • Critchley, H. D., Daly, E. M., Bullmore, E. T., Williams, S. C. R., Van Amelsvoort, T., Robertson, D. M., et al. (2000). The functional neuroanatomy of social behavior: Changes in cerebral blood flow when people with autistic disorder process facial expressions. Brain, 123, 2203–2212.

    Article  PubMed  Google Scholar 

  • Dierks, T., Bolte, S., Hubl, D., Lanfermann, H., & Poustka, F. (2004). Alterations of face processing strategies in autism: A fMRI study. NeuroImage, 13, 1016–1053.

    Google Scholar 

  • Duara, B., Kushch, A., Gross-Glenn, K., Barker, W. W., Jallad, B., Pascal, S., et al. (1991). Neuroanatomic differences between dyslexic and normal readers on magnetic resonance imaging scans. Archives of Neurology, 48, 410–416.

    Article  PubMed  Google Scholar 

  • Durston, S. (2003). Differential patterns of striatal activation in young children with and without ADHD. Biological Psychiatry, 53, 871.

    Article  PubMed  Google Scholar 

  • Facotti, A., Lorusso, M. L., Paganoni, P., Cattaneo, C., Galli, R., & Mascetti, G. G. (2003). The time course of attentional focusing in dyslexic and normally reading children. Brain and Cognition, 53, 181–184.

    Article  Google Scholar 

  • Filipek, P. A., & Blickman, J. G. (1992). Neurodiagnostic laboratory procedures: Neuroimaging techniques. In R. B. David (Ed.), Pediatric neurology for the clinician. Norwalk, CT: Appleton-Lang.

    Google Scholar 

  • Filipek, P. A., Semrud-Clikeman, M., Steingard, R. J., Renshaw, P. F., Kennedy, D. N., & Biederman, J. (1997). Volumetric MRI analysis comparing subjects having attention-deficit hyperactivity disorder with normal controls. Neurology, 48, 589–601.

    Article  PubMed  Google Scholar 

  • Fine, J. G., Semrud-Clikeman, M., Keith, T. Z., Stapleton, L., & Hynd, G. (2006). Reading and the corpus callosum: An MRI family study of volume and area. Neuropsychology, 21, 235–241.

    Article  Google Scholar 

  • Frederici, A. D. (2006). The neural basis of language development and its impairment. Neuron, 52, 941–952.

    Article  Google Scholar 

  • Galaburda, A. M. (2005). Neurology of learning disabilities: What will the future bring? The answer comes from the successes of the recent past. Learning Disabilities Quarterly, 28, 107–109.

    Article  Google Scholar 

  • Garavan, H., Ross, T. J., Murphy, K., Roche, R. A., & Stein, E. A. (2002). Dissociable executive functions in the dynamic control of behavior: Inhibition, error detection, and correction. NeuroImage, 17, 1820–1829.

    Article  PubMed  Google Scholar 

  • Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2002). Cognitive neuroscience: The biology of the mind (2nd ed.). New York: W.W. Norton & Company.

    Google Scholar 

  • Geschwind, N., & Galaburda, A. M. (1985). Cerebral lateralization: Biological mechanisms, associations, and pathology: I. A hypothesis and a program for research. Archives of Neurology, 42, 521–552.

    Article  PubMed  Google Scholar 

  • Giedd, J. N. (2004). Structural magnetic resonance imaging of the adolescent brain. Annals of the New York Academy of Sciences, 1021, 1308–1309.

    Article  Google Scholar 

  • Giedd, J. N., Castellanos, F. X., Casey, B. J., Kozuch, P., King, A. C., Hamburger, S. D., et al. (1994). Quantitative morphology of the corpus callosum in attention deficit hyperactivity disorder. American Journal of Psychiatry, 151, 665–669.

    Article  PubMed  Google Scholar 

  • Guttorm, T. K., Leppanen, P. H., Tolvanen, A., & Lyytinen, H. (2003). Event-related potentials in newborns with and without familial risk for dyslexia: Principal component analysis reveals differences between the groups. Journal of Neural Transmission, 110, 1059–1074.

    Article  PubMed  Google Scholar 

  • Hardan, A. Y., Minshew, N. J., & Keshavan, M. S. (2000). Corpus callosum size in autism. Neurology, 55, 1033–1036.

    Article  PubMed  Google Scholar 

  • Hare, T. A., Tottenham, N., Davidson, M. C., Glover, G. H., & Casey, B. J. (2005). Contributions of amygdala and striatal activity in emotion regulation. Biological Psychiatry, 57, 624–632.

    Article  PubMed  Google Scholar 

  • Harris, R. (1983). Clinical neurophysiology in paediatric neurology. In E.M. Brett (Ed.), Paediatric neurology (pp. 582–600). Edinburgh, Scotland: Churchill Livingston.

    Google Scholar 

  • Harter, M. R., & Anllo-Vento, L. (1988). Separate brain potential characteristics in children with reading disability and attention deficit disorder: Color and letter relevance effects. Brain and Cognition, 7, 115–140.

    Article  PubMed  Google Scholar 

  • Hasselmo, M. E., Rolls, E. T., & Baylis, G. C. (1989). The role of expression and identity in the face-selective responses of neurons in the temporal visual cortex of the monkey. Behavioural Brain Research, 32, 203–218.

    Article  PubMed  Google Scholar 

  • Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4, 223–233.

    Article  PubMed  Google Scholar 

  • Holcomb, P. J., Ackerman, P. T., & Dykman, R. A. (1985). Cognitive event-related brain potentials in children with attention and reading deficits. Psychophysiology, 22, 656–667.

    Article  PubMed  Google Scholar 

  • Howard, M. F., & Reggia, J. A. (2007). A theory of the visual system biology underlying development of spatial frequency lateralization. Brain and Cognition, 64, 111–123.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hynd, G. W., Hall, J., Novey, E. S. (1995). Dyslexia and corpus callosum morphology. Archives of Neurology, 52, 32–38.

    Article  PubMed  Google Scholar 

  • Hynd, G. W., Hern, K. L., Novey, E. S., Eliopulos, D., Marshall, R., Gonzalez, J. J., et al. (1993). Attention deficit-hyperactivity disorder and asymmetry of the caudate nucleus. Journal of Child Neurology, 8, 339–340.

    Article  PubMed  Google Scholar 

  • Hynd, G. W., Marshall, R. M., & Semrud-Clikeman, M. (1991). Developmental dyslexia, neurolinguistic theory and deviations in brain morphology. Reading and Writing, 3, 345–362.

    Article  Google Scholar 

  • Hynd, G. W., & Semrud-Clikeman, M. (1989). Dyslexia and brain morphology. Psychological Bulletin, 106, 447–482.

    Article  PubMed  Google Scholar 

  • Hynd, G. W., Semrud-Clikeman, M., Lorys, A. R., Novey, E. S., & Eliopulos, D. (1990). Brain morphology in developmental dyslexia and attention deficit disorder/hyperactivity. Archives of Neurology, 47, 919–926.

    Article  PubMed  Google Scholar 

  • Hynd, G. W., & Willis, W. G. (1988). Pediatric neuropsychology. Orlando, FL: Grune & Stratton.

    Google Scholar 

  • Jabbari, B., Maitland, C. G., Morris, L. M., Morales, J., & Gunderson, C. H. (1985). The value of visual evoked potential as a screening test in neurofibromatosis. Archives of Neurology, 42, 1072–1074.

    Article  PubMed  Google Scholar 

  • Jasper, H. H. (1958). The ten twenty system of the international federation. Electroencephalography and Clinical Neurophysiology, 10, 371–375.

    Google Scholar 

  • Jernigan, T. L., Hesselink, J. R., Sowell, E., & Tallal, P. (1991). Cerebral structure on magnetic resonance imaging in language- and learning-impaired children. Archives of Neurology, 48, 539–545.

    Article  PubMed  Google Scholar 

  • Johnstone, S. J., Barry, R. J., Anderson, J. W., & Coyle, S. F. (1996). Age-related changes in child and adolescent event-related potential component morphology, amplitude, and latency to standard and target stimuli in an auditory oddball task. International Journal of Psychophysiology, 24, 223–238.

    Article  PubMed  Google Scholar 

  • Johnstone, S. J., Barry, R. J., & Clarke, A. R. (2007). Behavioural and ERP indices of response inhibition during a stop-signal task in children with two subtypes of attention-deficit hyperactivity. International Journal of Psychophysiology, 66, 37–47.

    Article  PubMed  Google Scholar 

  • Just, M. A., Cherkassky, V. L., Keller, T. A., & Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain, 127, 1811–1821.

    Article  PubMed  Google Scholar 

  • Kana, R. K., Keller, T. A., Cherkassky, V. L., Minshew, N. J., & Just, M. A. (2006). Sentence comprehension in autism: Thinking in pictures with decreased functional connectivity. Brain, 129, 2484–2493.

    Article  PubMed  Google Scholar 

  • Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004). Anterior cingulate conflict monitoring and adjustments in control. Science, 303, 1023–1026.

    Article  PubMed  Google Scholar 

  • Killgore, W. D., & Yurgelun-Todd, D. A. (2005). Social anxiety predicts amygdala activation in adolescents viewing fearful faces. Neuroreport, 16, 1671–1675.

    Article  PubMed  Google Scholar 

  • Klorman, R., Thatcher, J. E., Shaywitz, S. E., Fletcher, J. M., Marchione, K. E., Holahan, J. M., et al. (2002). Effects of event probability and sequence on children with Attention-Deficit/Hyperactivity, reading, and math disorder. Biological Psychiatry, 52, 795–804.

    Article  PubMed  Google Scholar 

  • Klorman, R., Brumaghim, J. T., Fitzpatrick, P. A., Borgstedt, A. D. (1994). Clinical and cognitive effects of methylphenidate on children with attention deficit disorder as a function of aggression/oppositionality and age. Journal of Abnormal Psychology, 103, 206–221.

    Article  PubMed  Google Scholar 

  • Koshino, H., Carpenter, P. A., Minshew, N. J., Cherkassky, V. L., Keller, T. A., & Just, M. A. (2005). Functional connectivity in an fMRI working memory task in high-functioning autism. NeuroImage, 24, 810–821.

    Article  PubMed  Google Scholar 

  • Larsen, J. P., Hoien, T., Lundberg, I., & Odegaard, H. (1990). MRI evaluation of the size and symmetry of the planum temporale in adolescents with developmental dyslexia. Brain and Language, 39, 289–301.

    Article  PubMed  Google Scholar 

  • Liotti, M., Pliszka, S. R., Perez,R., Glahn, D. C., & Semrud-Clikeman, M. (2001). Electrophysiological correlates of response inhibition in children and adolescents with ADHD: Influence of gender, age, and previous treatment history. Psychophysiology, 44, 936–948.

    Article  Google Scholar 

  • Liotti, M., Pliszka, S. R.,Semrud-Clikeman, M., Higgins, K., & Perez, I., R. (in press). Evidence for specificity of ERP abnormalities during response inhibition in ADHD Brain and Cognition.

    Google Scholar 

  • Lou, H. C., Hendriksen, L., & Bruhn, P. (1984). Focal cerebral hypoperfusion in children with dysphasia and/or attention deficit disorder. Archives of Neurology, 41, 825–829.

    Article  PubMed  Google Scholar 

  • Lou, H. C., Henriksen, L., Bruhn, P., Borner, H., & Nielson, J. B. (1989). Striatal dysfunction in attention deficit and hyperkinetic disorder. Archives of Neurology, 46, 48–52.

    Article  PubMed  Google Scholar 

  • Maurer, U., Bucher, K., Brem, S., & Brandeis, D. (2003). Development of the automatic mismatch response: From frontal positivity in kindergarten children to the mismatch negativity. Clinical Neurophysiology, 114, 808–817.

    Article  PubMed  Google Scholar 

  • McBurnett, K., Pfiffner, L. J., & Frick, P. J. (2001). Symptom properties as a function of ADHD type. An argument for continued study of sluggish cognitive tempo. Journal of Abnormal Child Psychology, 29, 207–213.

    Article  PubMed  Google Scholar 

  • McCrory, E., Mechelli, A., Frith, U., & Price, C. J. (2005). More than words: A common neural basis for reading and naming deficits in developmental dyslexia? Brain, 128, 261–267.

    Article  PubMed  Google Scholar 

  • Menkes, J. H., & Sarnat, H. B. (2000). Child neurology. Philadelphia, PA: Lippincott, Williams, & Wilkins.

    Google Scholar 

  • Millich, R., Ballentine, A. C., & Lynam, D. R. (2001). ADHD-combined type and ADHD-predominately inattentive type are distinct and unrelated disorders. Clinical Psychology, Science, & Practice, 8, 463–488.

    Article  Google Scholar 

  • Molfese, D. L., & Molfese, V. J. (1994). Short-term and long-term developmental outcomes. In G. Dawson & K.W. Fischer (Eds.), Human behavior and the developing brain (pp. 493–517). New York: Guilford Press.

    Google Scholar 

  • Monk, C. S., McClure, E. B., Nelson, E. E., Zarahn, E., Bilder, R. M., & Leivenluft, E. (2003). Adolescent immaturity in attention-related brain engagement to emotional facial expressions. NeuroImage, 20, 420–428.

    Article  PubMed  Google Scholar 

  • Naatanen, R. (1990). The role of attention in auditory information processing as revealed by event-related potentials and other brain measures of cognitive function. Behavior and Brain Sciences, 13, 112–130.

    Google Scholar 

  • Novitski, N., Huotilainen, M., Tervaniemi, M., Naatanen, R., & Fellman, V. (2006). Neonatal frequency discrimination in 250–4000 Hz range: Electrophysiological evidence. Clinical Neurophysiology, 118, 412–419.

    Article  PubMed  Google Scholar 

  • Ohnishi, T., Matsuda, H., Hashimoto, T., Kunihiro, T., Nishikawa, M., Uema, T., et al. (2000). Abnormal regional cerebral blood flow in childhood autism. Brain, 123, 1838–1844.

    Article  PubMed  Google Scholar 

  • Olson, R. K. (1999). Genes, environment, and reading disabilities. In R. Sternberg & L. Spear-Swerling (Eds.), Perspectives on learning disabilities (pp. 3–22). Oxford: Westview Press.

    Google Scholar 

  • Pennington, B. F. (1991). Diagnosing learning disorders. New York: Guilford Press.

    Google Scholar 

  • Perrett, D. I., & Mistlin, A. J. (1990). Perception of facial characteristics by monkeys. In W. C. Stebbins & M. A. Berkley (Eds.), Comparative perception (pp. 187–215). Oxford: John Wiley & Sons.

    Google Scholar 

  • Pessoa, L., Kastner, S., & Ungerleider, L. G. (2002). Attentional control of the processing of neutral and emotional stimuli. Cognitive Brain Research, 15, 31–45.

    Article  PubMed  Google Scholar 

  • Picton, T. W., & Taylor, M. J. (2007). Electrophysiological evaluation of human brain development. Developmental Neuropsychology, 3, 249–278.

    Article  Google Scholar 

  • Pierce, K., Muller, R. A., Ambrose, J., Allen, G., & Courchesne, E. (2001). Face processing occurs outside the fusiform 'face area' in autism: Evidence from functional MRI. Brain, 124, 2059–2073.

    Article  PubMed  Google Scholar 

  • Piven, J., Arndt, S., Bailey, J., & Andreasen, N. (1996). Regional brain enlargement in autism: A magnetic resonance imaging study. Journal of the American Academy of Child & Adolescent Psychiatry, 35, 530–536.

    Article  Google Scholar 

  • Pliszka, S. R., Liotti, M., & Woldroff, M. G. (2000). Inhibitory control in children with attention-deficit/hyperactivity disorder: Event-related potentials identify the processing component and timing of an impaired right-frontal response-inhibition mechanism. Biological Psychiatry, 48, 238–246.

    Article  PubMed  Google Scholar 

  • Posner, M. I., & Raichle, M. E. (1994). Images of mind. New York: Scientific American Library.

    Google Scholar 

  • Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58, 1–23.

    Article  PubMed  Google Scholar 

  • Pugh, K. R., Mencl, W. E., Jenner, A. R., Katz, L., Frost, S. J., Lee, J. R., et al. (2001). Neurobiological studies of reading and reading disability. Journal of Communication Disorders, 34, 479–492.

    Article  PubMed  Google Scholar 

  • Regtvoort, A. G. F. M., van Leeuwen, T. H., Stoel, R. D., & van der Leij, A. (2006). Efficiency of visual information processing in children at-risk for dyslexia: Habituation of single-trial ERPs. Brain and Language, 98, 319–331.

    Article  PubMed  Google Scholar 

  • Rodriguez, P. D., & Baylis, G. C. (2007). Activation of brain attention systems in individuals with symptoms of ADHD. Behavioural Neurology, 18, 115–130.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rubia, K., Overmeyer, S., Taylor, E., Brammer, M. J., Williams, S. C. R., Simmons, A., et al. (1999). Hypofrontality in attention deficit hyperactivity disorder during higher-order motor control: A study with functional MRI. American Journal of Psychiatry, 156, 891–896.

    Article  PubMed  Google Scholar 

  • Rubia, K., Smith, A. B., Brammer, M. J., & Taylor, E. (2003). Right inferior prefrontal cortex mediates response inhibition while mesial prefrontal cortex is responsible for error detection. NeuroImage, 20, 351–358.

    Article  PubMed  Google Scholar 

  • Rubia, K., Smith, A. B., Brammer, M. J., Toone, B., & Taylor, E. (2005). Abnormal brain activation during inhibition and error detection in medication-naïve adolescents with ADHD. American Journal of Psychiatry, 162, 1067–1075.

    Article  PubMed  Google Scholar 

  • Santos, A., Joly-Pottuz, B., Moreno, S., Habib, M., & Besson, M. (2007). Behavioural and event-related potentials evidence for pitch discrimination deficits in dyslexic children: Improvement after intensive phonic intervention. Neuropsychologia, 45, 1080–1090.

    Article  PubMed  Google Scholar 

  • Schultz, R. T., Gauthier, I., Klin, A., Fulbright, R. K., Anderson, A. W., Volkmar, F., et al. (2000). Abnormal ventral temporal cortical activity during face discrimination among individuals with autism and Asperger Syndrome. Archives of General Psychiatry, 57, 331–340.

    Article  PubMed  Google Scholar 

  • Schultz, R. T., Grelotti, D. J., Klin, A., Kleinman, J., Van der Gaag, C., Marois, R., et al. (2003). The role of the fusiform face area in social cognition: Implications for the pathobiology of autism. Philosophical Transactions of The Royal Society of London, 358, 415–427.

    Article  PubMed  PubMed Central  Google Scholar 

  • Schultz, R. T., Grelotti, D. J., Klin, A., Levitan, E., Cantey, T., Skudlarski, P., et al. (2001). An fMRI study of face recognition, facial expression detection, and social judgment in autism spectrum conditions. Paper presented at the International Meeting for Autism Research.

    Google Scholar 

  • Schultz, R. T., Romanski, L. M., & Tsatsanis, K. D. (2000). Neurofunctional models of autistic disorder and Asperger syndrome: Clues from neuroimaging. In A. Klin, F. R. Volkmar, & S. S. Sparrow (Eds.), Asperger syndrome. New York: The Guilford Press.

    Google Scholar 

  • Schulz, K. P., Fan, J., Tang, C. Y., Newcorn, J. H., Buchsbaum, M. S., Cheung, A. M., et al. (2004). Response inhibition in adolescents diagnosed with attention deficit hyperactivity disorder during childhood: An event-related fMRI study. American Journal of Psychiatry, 161, 1650–1657.

    Article  PubMed  Google Scholar 

  • Sears, L. L., Vest, C., Mohamed, S., Bailey, J., Ranson, B. J., & Piven, J. (1999). An MRI study of the basal ganglia in autism. Progress in neuro-psychopharmacology & biological psychiatry, 23, 613–624.

    Article  PubMed  Google Scholar 

  • Semrud-Clikeman, M. (2006). Neuropsychological aspects for evaluating LD. Journal of Learning Disabilities, 38, 563–568.

    Article  Google Scholar 

  • Semrud-Clikeman, M., Filipek, P. A., Biederman, J., Steingard, R. J., Kennedy, D. N., Renshaw, P. F., et al. (1994). Attention-deficit hyperactivity disorder: Magnetic resonance imaging morphometric analysis of the corpus callosum. Journal of the American Academy of Child & Adolescent Psychiatry, 33, 875–881.

    Article  Google Scholar 

  • Semrud-Clikeman, M., Hooper, S. R., Hynd, G. W., Hern, K., Presley, R., & Watson T. (1996). Prediction of group membership in developmental dyslexia, attention deficit hyperactivity disorder, and normal controls using brain morphometric analysis of magnetic resonance imaging. Archives of Clinical Neuropsychology, 11, 521–528.

    Article  PubMed  Google Scholar 

  • Semrud-Clikeman, M., Hynd, G., Novey, E. S., & Eliopulos, D. (1991). Dyslexia and brain morphology: Relationships between neuroanatomical variation and neurolinguistic tasks. Learning and Individual Differences, 3, 225–242.

    Article  Google Scholar 

  • Semrud-Clikeman, M., Pliszka, S. R., Lancaster, J., & Liotti, M. (2006). Volumetric MRI differences in treatment-naïve vs chronically treated children with ADHD. Neurology, 67.

    Google Scholar 

  • Shaywitz, B. A., Shaywitz, S. E., Pugh, K., Fulbright, R. K., & Skudlarski, P. (2002). Disruption of posterior brain systems for reading in children with developmental dyslexia. Biological Psychiatry, 52, 101–110.

    Article  PubMed  Google Scholar 

  • Shaywitz, S. E. (2003). Overcoming dyslexia: A new and complete science-based program for reading problems at any level. New York: Alfred A. Knopf.

    Google Scholar 

  • Shaywitz, S. E., Mody, M., & Shaywitz, B. A. (2006). Neural mechanisms in dyslexia. Current Directions in Psychological Science, 15, 278–281.

    Article  Google Scholar 

  • Shaywitz, S. E., Shaywitz, B. A., Fletcher, J. M., & Escobar, M. D. (1990). Prevalence of reading disability in boys and girls: Results of the Conneticut Longitudinal Study. The Journal of the American Medical Association, 264, 998–1003.

    Article  PubMed  Google Scholar 

  • Shaywitz, S. E., Shaywitz, B. A., Fulbright, R. K., Skudlarski, P., Mencl, W. E., Constable, R. T., et al. (2003). Neural systems for compensation and persistence: Young adult outcome of childhood reading disability. Biological Psychiatry, 54, 25–33.

    Article  PubMed  Google Scholar 

  • Shaywitz, Silk, T. J., Rinehart, N., Bradshaw, J. L., Tonge, B., Egan, G., O'Boyle, M. W., et al. (2006). Visuospatial processing and the function of prefrontal-parietal networks in autism spectrum disorders: a functional MRI study. American Journal of Psychiatry, 163, 1440–1443.

    Article  PubMed  Google Scholar 

  • Simpson, J. R., Öngür, D., Akbudak, E., Conturo, T. E., & Ollinger, J. M. (2000). The emotional modulation of cognitive processing: An fMRI study. Journal of Cognitive Neuroscience, 12, 157–170.

    Article  PubMed  Google Scholar 

  • Smith, J. L., Johnstone, S. J., & Barry, R. J. (2004). Inhibitory processing during the Go/NoGo task: an ERP analysis of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 115, 1320–1331.

    Article  PubMed  Google Scholar 

  • Somerville, L. H., Kim, H., Johnstone, T., Alexander, A. L., & Whalen, P. J. (2004). Human amygdala responses during presentation of happy and neutral faces: Correlations with state anxiety. Biological Psychiatry, 55, 897–903.

    Article  PubMed  Google Scholar 

  • Taroyan, N. A., Nicolson, R. I., & Fawcett, A. J. (2006). Behavioural and neurophysiological correlates of dyslexia in the continuous performance task. Clinical Neurophysiology, 118, 845–855.

    Article  Google Scholar 

  • Vaidya, C. J., Austin, G., Kirkorian, G., Ridlehuber, H. W., Desmond, J. E., Glover, G. H., et al. (1998). Selective effects of methylphenidate in attention deficit hyperactivity disorder: A functional magnetic resonance study. Neurobiology, 95, 14494–14499.

    Google Scholar 

  • van Mourik, R., Oosterlaan, J., Heslenfeld, D. J., Konig, C. E., & Sergeant, J. A. (2007). When distraction is not distracting: A behavioral and ERP study on distraction in ADHD. Clinical Neurophysiology, 118, 1855–1865.

    Article  PubMed  Google Scholar 

  • Vidal, C. N., Nicolson, R., DeVito, T. J., Hayashi, K. M., Geaga, J. A., Drost, D. J., et al. (2006). Mapping corpus callosum deficits in autism: An index of aberrant cortical connectivity. Biological Psychiatry, 60, 218–225.

    Article  PubMed  Google Scholar 

  • von Koss Torkildsen, J., Syversen, G., Simonsen, H. G., Moen, I., & Lindgren, M. (2007). Brain responses to lexical-semantic priming in children at-risk for dyslexia. Brain and Language, 102, 243–261.

    Article  Google Scholar 

  • Waldman, I. D., Lilienfeld, S. O., & Lahey, B. B. (1995). Toward construct validity in the childhood disruptive behavior disorders: Classification and diagnosis in DSM-IV and beyond. Advances in Clinical Child Psychology, 17, 323–363.

    Google Scholar 

  • Wetzel, N., & Schroger, E. (2007). Cognitive control of involuntary attention and distraction in children and adolescents. Brain Research, 1155, 134–146.

    Article  PubMed  Google Scholar 

  • Wetzel, N., Widmann, A., Berti, S., & Schroger, E. (2006). The development of involuntary and voluntary attention from childhood to adulthood: A combined behavioral and event-related potential study. Clinical Neurophysiology, 117, 2191–2203.

    Article  PubMed  Google Scholar 

  • Winner, E., Brownell, H., Happe, F., Blum, A., & Pincus, D. (1998). Distinguishing lies from jokes: Theory of mind deficits and discourse interpretation in right hemisphere brain-damaged patients. Brain Language, 62, 89–106.

    Article  PubMed  Google Scholar 

  • Yang, T. T., Menon, V., Eliez, S., Blasey, C., White, C. D., Reid, A. J., et al. (2002). Amygdalar activation associated with positive and negative facial expressions. Neuroreport: For Rapid Communication of Neuroscience Research, 13, 1737–1741.

    Article  Google Scholar 

  • Zametkin, A. J., & Cohen, R. M. (1991). Cerebral glucose metabolism in hyperactivity (letter to the editor). New England Journal of Medicine, 324, 1216–1217.

    Article  Google Scholar 

  • Zametkin, A. J., Nordahl, T. E., Gross, M., King, A. C., Semple, W. E., Rumsey, J., et al. (1990). Cerebral glucose metabolism in adults with hyperactivity of childhood onset. New England Journal of Medicine, 323, 1361–1366.

    Article  PubMed  Google Scholar 

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Semrud-Clikeman, M., Ellison, P.A.T. (2009). Electrophysiological and Neuroimaging Techniques in Neuropsychology. In: Child Neuropsychology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-88963-4_4

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