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01-02-2015 | Original Paper

An Electrophysiological Investigation of Interhemispheric Transfer Time in Children and Adolescents with High-Functioning Autism Spectrum Disorders

Auteurs: Ann Clawson, Peter E. Clayson, Mikle South, Erin D. Bigler, Michael J. Larson

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 2/2015

Abstract

Little is known about the functional impact of putative deficits in white-matter connectivity across the corpus callosum (CC) in individuals with autism spectrum disorders (ASDs). We utilized the temporal sensitivity of event-related potentials to examine the interhemispheric transfer time (IHTT) of basic visual information across the CC in youth with high-functioning ASD relative to healthy controls. We conducted two experiments: a visual letter matching experiment (n = 46) and a visual picture matching experiment, (n = 48) and utilized both electrophysiological (N1 and P1 amplitudes and latencies) and behavioral [response times (RTs), error rates] indices of IHTT. There were no significant group differences on either experiment for RTs, error rates, or N1 and P1 latencies, suggesting that on basic tasks the timing of information flow across the CC may not be altered in high functioning ASD.

vorige artikel Electromyographic Responses to Emotional Facial Expressions in 6–7 Year Olds with Autism Spectrum Disorders

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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. doi: 10.1016/j.neuroimage.2006.08.032. PubMedCrossRef

Anderson, J. S., Druzgal, T. J., Froehlich, A., DuBray, M. B., Lange, N., Alexander, A. L., et al. (2011a). Decreased interhemispheric functional connectivity in autism. Cerebral Cortex, 21, 1134–1146. doi: 10.1093/cercor/bhq190. PubMedCentralPubMedCrossRef

Anderson, J. S., Nielsen, J. A., Froehlich, A. L., DuBray, M. B., Druzgal, T. J., Cariello, A. N., et al. (2011b). Functional connectivity magnetic resonance imaging classification of autism. Brain, 134, 3742–3754. doi: 10.1093/brain/awr263. PubMedCrossRef

Banich, M. T., & Brown, W. S. (2000). A life-span perspective on interaction between the cerebral hemispheres. Developmental Neuropsychology, 18, 1–10. PubMedCrossRef

Banich, M. T., Passarotti, A. M., White, D. A., Nortz, M. J., & Steiner, R. D. (2000). Interhemispheric interaction during childhood: II. Children with early-treated phenylketonuria. Developmental Neuropsychology, 18, 53–71. doi: 10.1207/S15326942DN1801_4. PubMedCrossRef

Barnea-Goraly, N., Lotspeich, L. J., & Reiss, A. L. (2010). Similar white matter aberrations in children with autism and their unaffected siblings: A diffusion tensor imaging study using tract-based spatial statistics. Archives of General Psychiatry, 67, 1052–1060. doi: 10.1001/archgenpsychiatry.2010.123. PubMedCrossRef

Barnett, K. J., & Kirk, I. J. (2005). Lack of asymmetrical transfer for linguistic stimuli in schizophrenia: An ERP study. Clinical Neurophysiology, 116, 1019–1027. doi: 10.1016/j.clinph.2004.12.008. PubMedCrossRef

Baruth, J. M., Casanova, M. F., Sears, L., & Sokhadze, E. (2010). Early-stage visual processing abnormalities in high-functioning autism spectrum disorder (ASD). Translational Neuroscience, 1, 177–187. doi: 10.2478/v10134-010-0024-9. PubMedCentralPubMedCrossRef

Belmonte, M. K., Allen, G., Beckel-Mitchener, A., Boulanger, L. M., Carper, R. A., & Webb, S. J. (2004). Autism and abnormal development of brain connectivity. The Journal of Neuroscience, 24, 9228–9231. doi: 10.1523/JNEUROSCI.3340-04.2004. PubMedCrossRef

Betancur, C. (2011). Etiological heterogenity in autism spectrum disorders: More than 100 genetic and genomic disorders and still counting. Brain Research, 1380, 42–77. doi: 10.1016/j.brainres.2010.11.078. PubMedCrossRef

Birmaher, B., Brent, D. A., Chiappetta, L., Bridge, J., Monga, S., & Baugher, M. (1999). Psychometric properties of the screen for child anxiety related emotional disorders (SCARED): A replication study. Journal of the American Academy of Child and Adolescent Psychiatry, 38, 1230–1236. PubMedCrossRef

Brown, W. S., Larson, E. B., & Jeeves, M. A. (1994). Directional asymmetries in interhemispheric transmission time: Evidence from visual evoked potentials. Neuropsychologia, 32, 439–448. PubMedCrossRef

Clark, V. P., & Hillyard, S. A. (1996). Spatial selective attention affects early extrastriate but not striate components of the visual evoked potential. Journal of Cognitive Neuroscience, 8, 387–402. doi: 10.1162/jocn.1996.8.5.387. PubMedCrossRef

Clayson, P. E., Baldwin, S. A., & Larson, M. J. (2013). How does noise affect amplitude and latency measurement of event-related potentials (ERPs)? A methodological critique and simulation study. Psychophysiology, 50, 174–186. doi: 10.1111/psyp.12001. PubMedCrossRef

Courchesne, E., Pierce, K., Schumann, C. M., Redcay, E., Buckwalter, J. A., Kennedy, D. P., et al. (2007). Mapping early brain development in autism. Neuron, 56, 399–413. doi: 10.1016/j.neuron.2007.10.016. PubMedCrossRef

Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134, 9–21. doi: 10.1016/j.jneumeth.2003.10.009. PubMedCrossRef

Di Russo, F., Martinez, A., Sereno, M. I., Pitzalis, S., & Hillyard, S. A. (2002). Cortical sources of the early components of the visual evoked potential. Human Brain Mapping, 15, 95–111. doi: 10.1002/hbm.10010. PubMedCrossRef

Dien, J., Franklin, M. S., & May, C. J. (2006). Is “Blank” a suitable neutral prime for event-related potential experiments? Brain and Language, 97, 91–101. doi: 10.1016/j.bandl.2005.08.002. PubMedCrossRef

Dien, J., Michelson, C. A., & Franklin, M. S. (2010). Separating the visual sentence N400 effect from the P400 sequential expectancy effect: Cognitive and neuroanatomical implications. Brain Research, 1355, 126–140. doi: 10.1016/j.brainres.2010.07.099. PubMedCrossRef

Dien, J., & Santuzzi, A. M. (2005). Principal components analysis of event-related potential datasets. In T. Handy (Ed.), Event-related potentials: A methods handbook. Cambridge: MIT Press.

Eapen, V. (2011). Genetic basis of autism: Is there a way forward? Current Opinion in Psychiatry, 24, 226–236. doi: 10.1097/YCO.0b013e328345927e. PubMedCrossRef

Eliassen, J. C., Baynes, K., & Gazzaniga, M. S. (2000). Anterior and posterior callosal contributions to simultaneous bimanual movements of the hands and fingers. Brain: A Journal of Neurology, 123, 2501–2511. doi: 10.1093/brain/123.12.2501. CrossRef

Fabri, M., Polonara, G., Del Pesce, M., Quattrini, A., Salvolini, U., & Manzoni, T. (2001). Posterior corpus callosum and interhemispheric transfer of somatosensory information: An fMRI and neuropsychological study of a partially callosotomized patient. Journal of Cognitive Neuroscience, 13, 1071–1079. doi: 10.1162/089892901753294365. PubMedCrossRef

Gorrie, C., Duflou, J., Brown, J., Gibson, T., & Waite, P. M. (2001). Extent and distribution of vascular brain injury in pediatric road fatalities. Journal of Neurotrauma, 18, 849–860. doi: 10.1089/089771501750451776. PubMedCrossRef

Hagelthorn, K. M., Brown, W. S., Amano, S., & Asarnow, R. (2000). Normal development of bilateral field advantage and evoked potential interhemispheric transmission time. Developmental Neuropsychology, 18, 11–31. doi: 10.1207/S15326942DN1801_2. PubMedCrossRef

Hong, S., Ke, X., Tang, T., Hang, Y., Chu, K., Huang, H., et al. (2011). Detecting abnormalities of corpus callosum connectivity in autism using magnetic resonance imaging and diffusion tensor tractography. Psychiatry Research: Neuroimaging, 194, 333–339. doi: 10.1016/j.pscychresns.2011.03.009. PubMedCrossRef

Iwabuchi, S. J., & Kirk, I. J. (2009). Atypical interhemispheric communication in left-handed individuals. NeuroReport, 20, 166–169. doi: 10.1097/WNR.0b013e32831f1cbb. PubMedCrossRef

Junghöfer, M., Elbert, T., Tucker, D. M., & Braun, C. (1999). The polar average reference effect: A bias in estimating the head surface integral in EEG recording. Clinical Neurophysiology, 110, 1149–1155. PubMedCrossRef

Just, M. A., Cherkassky, V. L., Keller, T. A., Kana, R. K., & Minshew, N. J. (2007). Functional and anatomical cortical underconnectivity in autism: Evidence from an fMRI study of an executive function task and corpus callosum morphometry. Cerebral Cortex, 17, 951–961. doi: 10.1093/cercor/bhl006. PubMedCrossRef

Kana, R. K., Keller, K., Minshew, N. J., & Just, M. A. (2007). Inhibitory control in high-functioning autism: Decreased activation and underconnectivity in inhibition networks. Biological Psychiatry, 62, 198–206. doi: 10.1016/j.biopsych.2006.08.004. PubMedCrossRef

Kana, R. K., Libero, L. E., & Moore, M. S. (2011). Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders. Physics of Life Reviews, 8, 410–437. doi: 10.1016/j.plrev.2011.10.001. PubMedCrossRef

Keller, T. A., Kana, R. K., & Just, M. A. (2007). A developmental study of the structural integrity of white matter in autism. Neuroreport, 18, 23–27. PubMedCrossRef

Keselman, H. J., Wilcox, R. R., & Lix, L. M. (2003). A generally robust approach to hypothesis testing in independent and correlated groups designs. Psychophysiology, 40, 586–596. doi: 10.1037/1082-989X.13.2.110. PubMedCrossRef

Kleinhans, N. M., Richards, T., Sterling, L., Stegbauer, K. C., Mahurin, R., Johnson, L. C., et al. (2008). Abnormal functional connectivity in autism spectrum disorders during face processing. Brain, 131, 1000–1012. doi: 10.1093/brain/awm334. PubMedCrossRef

Kumar, A., Sundaram, S. K., Sivaswamy, L., Behen, M. E., Makki, M. I., & Ager, J. (2010). Alterations in frontal lobe tracts and corpus callosum in young children with autism spectrum disorder. Cerebral Cortex, 20, 2103–2113. doi: 10.1093/cercor/bhp278. PubMedCrossRef

Larson, M. J., South, M., Clayson, P. E., & Clawson, A. (2012). Cognitive control and conflict adaptation in youth with high-functioning autism. Journal of Child Psychology and Psychiatry, 53, 440–448. doi: 10.1111/j.1469-7610.2011.02498.x. PubMedCrossRef

Larson, M. J., South, M., Krauskopf, E., Clawson, A., & Crowley, M. J. (2010). Feedback and reward processing in high-functioning autism. Psychiatry Research, 187, 198–203. doi: 10.1016/j.psychres.2010.11.006. PubMedCrossRef

Levin, H. S., Wilde, E. A., Chu, Z., Yallampalli, R., Hanten, G. R., & Li, X. (2008). Diffusion tensor imaging in relation to cognitive and functional outcome of traumatic brain injury in children. The Journal of Head Trauma Rehabilitation, 23, 197–208. doi: 10.1097/01.HTR.0000327252.54128.7c. PubMedCentralPubMedCrossRef

Lo, Y., Soong, W., Gau, S. S., Wu, Y., Lai, M., Yeh, F., et al. (2011). The loss of asymmetry and reduced interhemispheric connectivity in adolescents with autism: A study using diffusion spectrum imaging tractography. Psychiatry Research: Neuroimaging, 192, 60–66. doi: 10.1016/j.pscychresns.2010.09.008. PubMedCrossRef

Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., et al. (2000). The autism diagnostic observation schedule-generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205–223. PubMedCrossRef

Martin, C. D., Thierry, G., Démonet, J.-F., Roberts, M., & Nazir, T. (2007). ERP evidence for the split fovea theory. Brain Research, 1185, 212–220. doi: 10.1016/j.brainres.2007.09.049. PubMedCrossRef

McCaffery, P., & Deutsch, C. K. (2005). Macrocephaly and the control of brain growth in autistic disorders. Progress in Neurobiology, 77, 38–56. doi: 10.1016/j.pneurobio.2005.10.005. PubMedCrossRef

Moes, P., Brown, W., & Minnema, M. (2007). Individual differences in interhemispheric transfer time (IHTT) as measured by event related potentials. Neuropsychologia, 45, 2626–2630. doi: 10.1016/j.neuropsychologia.2007.03.017. PubMedCrossRef

Noriuchi, M., Kikuchi, Y., Yoshiura, T., Kira, R., Shigeto, H., & Hara, T. (2010). Altered white matter fractional anisotropy and social impairment in children with autism spectrum disorder. Brain Research, 1362, 141–149. doi: 10.1016/j.brainres.2010.09.051. PubMedCrossRef

Orekhova, E. V., Stroganova, T. A., Nygren, G., Tsetlin, M. M., Posikera, I. N., Gillberg, C., et al. (2007). Excess of high frequency electroencephalogram oscillations in boys with autism. Biological Psychiatry, 62, 1022–1029. doi: 10.1016/j.biopsych.2006.12.029. PubMedCrossRef

Patson, L. L., Kirk, I. J., Rolfe, M. H. S., Corballis, M. C., & Tippett, L. J. (2007). The unusual symmetry of musicians: Musicians have equilateral interhemispheric transfer for visual information. Neuropsychologia, 45, 2059–2065. doi: 10.1016/j.neuropsychologia.2007.02.001. CrossRef

Pfefferbaum, A., Sullivan, E. V., Hedehus, M., Adalsteinsson, E., Lim, K. O., & Moseley, M. (2000). In vivo detection and functional correlates of white matter microstructural disruption in chronic alcoholism. Alcoholism, Clinical and Experimental Research, 24, 1214–1221. doi: 10.1111/j.1530-0277.2000.tb02086.x. PubMedCrossRef

Rugg, M. D., Milner, A. D., & Lines, C. R. (1985). Visual evoked potentials to lateralised stimuli in two cases of callosal agenesis. Journal of Neurology, Neurosurgery and Psychiatry, 48, 367–373. PubMedCentralPubMedCrossRef

Samson, F., Mottron, L., Soulieres, I., & Zeffiro, T. A. (2012). Enhanced visual functioning in autism: An ALE meta-analysis. Human Brain Mapping, 33, 1553–1581. doi: 10.1002/hbm.21307. PubMedCrossRef

Schimmel, H. (1967). The (±) reference: Accuracy of estimated mean components in average response studies. Science, 157, 92–94. PubMedCrossRef

Shukla, D. K., Keehn, B., Lincoln, A. J., & Müller, R. A. (2010). White matter compromise of callosal and subcortical fiber tracts in children with autism spectrum disorder: A diffusion tensor imaging study. Journal of the American Academy of Child and Adolescent Psychiatry, 49(1269–1278), e1262. doi: 10.1016/j.jaac.2010.08.018.

South, M., Larson, M. J., Krauskopf, E., & Clawson, A. (2010). Error processing in high-functioning Autism Spectrum Disorders. Biological Psychology, 85, 242–251. doi: 10.1016/j.biopsycho.2010.07.009. PubMedCrossRef

Steger, J., Imhof, K., Denoth, J., Pascual-Marqui, R. D., Steinhausen, H. C., & Brandeis, D. (2001). Brain mapping of bilateral visual interactions in children. Psychophysiology, 38, 243–253. doi: 10.1111/1469-8986.3820243. PubMedCrossRef

Viding, E., & Blakemore, S. J. (2007). Endophenotype approach to developmental psychopathology: Implications for autism research. Behavioral Genetics, 37, 51–60. doi: 10.1007/s10519-006-9105-4. CrossRef

Wass, S. (2011). Distortions and disconnections: Disrupted brain connectivity in autism. Brain and Cognition, 75, 18–28. doi: 10.1016/j.bandc.2010.10.005. PubMedCrossRef

Westerhausen, R., Kreuder, F., Woerner, W., Huster, R. J., Smit, C. M., Schweiger, E., et al. (2006). Interhemispheric transfer time and structural properties of the corpus callosum. Neuroscience Letters, 409, 140–145. doi: 10.1016/j.neulet.2006.09.028. PubMedCrossRef

Yamauchi, H., Fukuyama, H., Nagahama, Y., Katsumi, Y., Dong, Y., & Hayashi, T. (1998). Atrophy of the corpus callosum, cortical hypometabolism, and cognitive impairment in corticobasal degeneration. Archives of Neurology, 55, 609–614. PubMedCrossRef

Yamauchi, H., Fukuyama, H., Nagahama, Y., Katsumi, Y., Dong, Y., Konishi, J., et al. (1996). Atrophy of the corpus callosum associated with cognitive impairment and widespread cortical hypometabolism in carotid artery occlusive disease. Archives of Neurology, 53, 1103–1109. PubMedCrossRef

Yamauchi, H., Fukuyama, H., Nagahama, Y., Katsumi, Y., Dong, Y., Konishi, J., et al. (1997). Atrophy of the corpus callosum, cognitive impairment, and cortical hypometabolism in progressive supranuclear palsy. Annals of neurology, 41, 606–614. doi: 10.1002/ana.410410509. PubMedCrossRef

Zikopoulos, B., & Barbas, H. (2010). Changes in prefrontal axons may disrupt the network in autism. Journal of Neuroscience, 30, 14595–14609. doi: 10.1523/JNEUROSCI.2257-10.2010. PubMedCentralPubMedCrossRef

Titel: An Electrophysiological Investigation of Interhemispheric Transfer Time in Children and Adolescents with High-Functioning Autism Spectrum Disorders
Auteurs: Ann Clawson
Peter E. Clayson
Mikle South
Erin D. Bigler
Michael J. Larson
Publicatiedatum: 01-02-2015
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 2/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-013-1895-7

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