Top

Journal of Autism and Developmental Disorders

Gepubliceerd in:

25-02-2021 | Original Paper

Peak Alpha Frequency and Thalamic Structure in Children with Typical Development and Autism Spectrum Disorder

Auteurs: Heather L. Green, Marissa Dipiero, Simon Koppers, Jeffrey I. Berman, Luke Bloy, Song Liu, Emma McBride, Matthew Ku, Lisa Blaskey, Emily Kuschner, Megan Airey, Mina Kim, Kimberly Konka, Timothy P. L. Roberts, J. Christopher Edgar

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 1/2022

Abstract

Associations between age, resting-state (RS) peak-alpha-frequency (PAF = frequency showing largest amplitude alpha activity), and thalamic volume (thalamus thought to modulate alpha activity) were examined to understand differences in RS alpha activity between children with autism spectrum disorder (ASD) and typically-developing children (TDC) noted in prior studies. RS MEG and structural-MRI data were obtained from 51 ASD and 70 TDC 6- to 18-year-old males. PAF and thalamic volume maturation were observed in TDC but not ASD. Although PAF was associated with right thalamic volume in TDC (R² = 0.12, p = 0.01) but not ASD (R² = 0.01, p = 0.35), this group difference was not large enough to reach significance. Findings thus showed unusual maturation of brain function and structure in ASD as well as an across-group thalamic contribution to alpha rhythms.

vorige artikel Implications of Employment Changes Caused by COVID-19 on Mental Health and Work-Related Psychological Need Satisfaction of Autistic Employees: A Mixed-Methods Longitudinal Study

volgende artikel Quality of Life Among Malaysian Parents with Autism Spectrum Disorder Child: The Double ABCX Model Approach

Individuals on the autism spectrum, their parents, and professionals in the field differ regarding the use of person-first (e.g., children with ASD) or identity first (e.g., autistic child) language. With respect for divided opinions, both approaches to terminology are used (Kenny et al. 2016).

In the current sample, older children were more likely to have evaluable RS data. In particular, 76% of children ≥ 10 years old had evaluable RS data. The somewhat high rate of children with non-evaluable data is primarily due to the fact that in many of our early studies we collected only 2 min of eye-closed RS data. Increasing the length of the eyes-closed task to 5 + minutes has resulted in much higher success rates.

Alvarez Amador, A., Valdés Sosa, P. A., PascualMarqui, R. D., Galan Garcia, L., Biscay Lirio, R., & Bosch Bayard, J. (1989). On the structure of EEG development. Electroencephalography and Clinical Neurophysiology, 73(1), 10–19.PubMedCrossRef

Anderson, P., & Sears, T. A. (1964). The role of inhibition in the phasing of spontaneous thalamocortical discharge. The Journal of Physiology, 173, 459–480.CrossRef

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(2), 175–183. https://doi.org/10.1212/wnl.59.2.175.CrossRefPubMed

Berger, H. (1929). Hans Berger on the electroencephalogram of man. ArchivfürPsychiatrie und Nervenkrankheiten, 87, 527–570.CrossRef

Berman, J. I., Liu, S., Bloy, L., Blaskey, L., Roberts, T. P., & Edgar, J. C. (2015). Alpha-to-gamma phase-amplitude coupling methods and application to autism spectrum disorder. Brain Connect, 5(2), 80–90. https://doi.org/10.1089/brain.2014.0242.CrossRefPubMedPubMedCentral

Casanova, M. F., Buxhoeveden, D. P., Switala, A. E., & Roy, E. (2002). Minicolumnar pathology in autism. Neurology, 58(3), 428–432. https://doi.org/10.1212/wnl.58.3.428.CrossRefPubMed

Chiang, A. K., Rennie, C. J., Robinson, P. A., van Albada, S. J., & Kerr, C. C. (2011). Age trends and sex differences of alpha rhythms including split alpha peaks. Clinical Neurophysiology, 122(8), 1505–1517. https://doi.org/10.1016/j.clinph.2011.01.040.CrossRefPubMed

Ciulla, C., Takeda, T., & Endo, H. (1999). MEG characterization of spontaneous alpha rhythm in the human brain. Brain Topography, 11(3), 211–222.PubMedCrossRef

Clarke, A. R., Barry, R. J., McCarthy, R., & Selikowitz, M. (2001). Age and sex effects in the EEG: Development of the normal child. Clinical Neurophysiology, 112(5), 806–814.PubMedCrossRef

Constantino, J. N., & Gruber, C. P. (2012). Social responsiveness scale-second edition (SRS-2). Torrance, CA: Western Psychological Services.

Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., et al. (2001). Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study. Neurology, 57(2), 245–254.PubMedCrossRef

Cragg, L., Kovacevic, N., McIntosh, A. R., Poulsen, C., Martinu, K., Leonard, G., et al. (2011). Maturation of EEG power spectra in early adolescence: A longitudinal study. Developmental Science, 14(5), 935–943. https://doi.org/10.1111/j.1467-7687.2010.01031.x.CrossRefPubMed

Danos, P., Guich, S., Abel, L., & Buchsbaum, M. S. (2001). EEG alpha rhythm and glucose metabolic rate in the thalamus in schizophrenia. Neuropsychobiology, 43(4), 265–272. https://doi.org/10.1159/000054901.CrossRefPubMed

Dickinson, A., DiStefano, C., Senturk, D., & Jeste, S. S. (2018). Peak alpha frequency is a neural marker of cognitive function across the autism spectrum. European Journal of Neuroscience, 47(6), 643–651. https://doi.org/10.1111/ejn.13645.CrossRef

Dustman, R. E., Shearer, D. E., & Emmerson, R. Y. (1999). Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency. Clinical Neurophysiology, 110(8), 1399–1409.PubMedCrossRef

Edgar, J. C., Dipiero, M., McBride, E., Green, H. L., Berman, J., Ku, M., et al. (2019). Abnormal maturation of the resting-state peak alpha frequency in children with autism spectrum disorder. Human Brain Mapping. https://doi.org/10.1002/hbm.24598.CrossRefPubMedPubMedCentral

Edgar, J. C., Heiken, K., Chen, Y. H., Herrington, J. D., Chow, V., Liu, S., et al. (2015). Resting-state alpha in autism spectrum disorder and alpha associations with thalamic volume. Journal of Autism Developmental Disorders, 45(3), 795–804. https://doi.org/10.1007/s10803-014-2236-1.CrossRefPubMed

Elliot, C. D. (2007). Differential ability scales (2nd ed.). San Antonio, TX: Pearson.

Epstein, H. T. (1980). EEG developmental stages. Developmental Psychology, 13, 621–631.

Feige, B., Scheffler, K., Esposito, F., Di Salle, F., Hennig, J., & Seifritz, E. (2005). Cortical and subcortical correlates of electroencephalographic alpha rhythm modulation. Journal of Neurophysiology, 93(5), 2864–2872. https://doi.org/10.1152/jn.00721.2004.CrossRefPubMed

Fischl, B. (2012). FreeSurfer. Neuroimage, 62(2), 774–781. https://doi.org/10.1016/j.neuroimage.2012.01.021.CrossRefPubMed

Gage, N. M., Juranek, J., Filipek, P. A., Osann, K., Flodman, P., Isenberg, A. L., et al. (2009). Rightward hemispheric asymmetries in auditory language cortex in children with autistic disorder: An MRI investigation. Journal of Neurodevelopmental Disorder, 1(3), 205–214. https://doi.org/10.1007/s11689-009-9010-2.CrossRef

Galaburda, A. M., LeMay, M., Kemper, T. L., & Geschwind, N. (1978). Right-left asymmetrics in the brain. Science, 199(4331), 852–856.PubMedCrossRef

Gasser, T., Jennen-Steinmetz, C., Sroka, L., Verleger, R., & Möcks, J. (1988). Development of the EEG of school-age children and adolescents II. Topography. Electroencephalography and Clinical Neurophysiology, 69(2), 100–109.PubMedCrossRef

Gibbs, F. A., & Knott, J. R. (1949). Growth of the electrical activity of the cortex. Electroencephalography and Clinical Neurophysiology, 1(2), 223–229.PubMedCrossRef

Goldman, R. I., Stern, J. M., Engel, J., & Cohen, M. S. (2002). Simultaneous EEG and fMRI of the alpha rhythm. NeuroReport, 13(18), 2487–2492. https://doi.org/10.1097/01.wnr.0000047685.08940.d0.CrossRefPubMedPubMedCentral

Gotham, K., Pickles, A., & Lord, C. (2009). Standardizing ADOS scores for a measure of severity in autism spectrum disorders. Journal of Autism and Developmental Disorders, 39(5), 693–705. https://doi.org/10.1007/s10803-008-0674-3.CrossRefPubMed

Grandy, T. H., Werkle-Bergner, M., Chicherio, C., Lövdén, M., Schmiedek, F., & Lindenberger, U. (2013). Individual alpha peak frequency is related to latent factors of general cognitive abilities. Neuroimage, 79, 10–18. https://doi.org/10.1016/j.neuroimage.2013.04.059.CrossRefPubMed

Haegens, S., Cousijn, H., Wallis, G., Harrison, P. J., & Nobre, A. C. (2014). Inter- and intra-individual variability in alpha peak frequency. Neuroimage, 92, 46–55. https://doi.org/10.1016/j.neuroimage.2014.01.049.CrossRefPubMed

Hardan, A. Y., Girgis, R. R., Adams, J., Gilbert, A. R., Keshavan, M. S., & Minshew, N. J. (2006). Abnormal brain size effect on the thalamus in autism. Psychiatry Research, 147(2–3), 145–151. https://doi.org/10.1016/j.pscychresns.2005.12.009.CrossRefPubMed

Hardan, A. Y., Girgis, R. R., Adams, J., Gilbert, A. R., Melhem, N. M., Keshavan, M. S., et al. (2008). Brief report: Abnormal association between the thalamus and brain size in Asperger’s disorder. Journal of Autism and Developmental Disorders, 38(2), 390–394. https://doi.org/10.1007/s10803-007-0385-1.CrossRefPubMed

Hari, R., & Salmelin, R. (1997). Human cortical oscillations: A neuromagnetic view through the skull. Trends in Neurosciences, 20(1), 44–49. https://doi.org/10.1016/S0166-2236(96)10065-5.CrossRefPubMed

Hazlett, H. C., Gu, H., Munsell, B. C., Kim, S. H., Styner, M., Wolff, J. J., et al. (2017). Early brain development in infants at high risk for autism spectrum disorder. Nature, 542(7641), 348–351. https://doi.org/10.1038/nature21369.CrossRefPubMedPubMedCentral

Hazlett, H. C., Poe, M., Gerig, G., Smith, R. G., Provenzale, J., Ross, A., et al. (2005). Magnetic resonance imaging and head circumference study of brain size in autism: Birth through age 2 years. Archives of General Psychiatry, 62(12), 1366–1376. https://doi.org/10.1001/archpsyc.62.12.1366.CrossRefPubMed

Hazlett, H. C., Poe, M. D., Gerig, G., Styner, M., Chappell, C., Smith, R. G., et al. (2011). Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Archives of General Psychiatry, 68(5), 467–476. https://doi.org/10.1001/archgenpsychiatry.2011.39.CrossRefPubMedPubMedCentral

Hughes, J. R. (Ed.). (1987). Normal limits of the EEG. New York: Wiley.

Hughes, S. W., Blethyn, K. L., Cope, D. W., & Crunelli, V. (2002). Properties and origin of spikelets in thalamocorticalneurones in vitro. Neuroscience, 110(3), 395–401. https://doi.org/10.1016/s0306-4522(01)00577-2.CrossRefPubMed

Hughes, S. W., Lörincz, M., Cope, D. W., Blethyn, K. L., Kékesi, K. A., Parri, H. R., et al. (2004). Synchronized oscillations at alpha and theta frequencies in the lateral geniculate nucleus. Neuron, 42(2), 253–268.PubMedCrossRef

Hughes, S. W., Lőrincz, M. L., Blethyn, K., Kékesi, K. A., Juhász, G., Turmaine, M., et al. (2011). Thalamic gap junctions control local neuronal synchrony and influence macroscopic oscillation amplitude during EEG alpha rhythms. Frontiers in Psychology, 2, 193. https://doi.org/10.3389/fpsyg.2011.00193.CrossRefPubMedPubMedCentral

Jahnsen, H., & Llinás, R. (1984). Ionic basis for the electro-responsiveness and oscillatory properties of guinea-pig thalamic neurones in vitro. Journal of Physiology, 349, 227–247. https://doi.org/10.1113/jphysiol.1984.sp015154.CrossRef

Jann, K., Federspiel, A., Giezendanner, S., Andreotti, J., Kottlow, M., Dierks, T., et al. (2012). Linking brain connectivity across different time scales with electroencephalogram, functional magnetic resonance imaging, and diffusion tensor imaging. Brain Connect, 2(1), 11–20. https://doi.org/10.1089/brain.2011.0063.CrossRefPubMedPubMedCentral

John, E. R., Ahn, H., Prichep, L., Trepetin, M., Brown, D., & Kaye, H. (1980). Developmental equations for the electroencephalogram. Science, 210(4475), 1255–1258.PubMedCrossRef

Kenny, L., Hattersley, C., Molins, B., Buckley, C., Povey, C., & Pellicano, E. (2016). Which terms should be used to describe autism? Perspectives from the UK autism community. Autism, 20(4), 442–462. https://doi.org/10.1177/1362361315588200.CrossRefPubMed

Klimesch, W. (1997). EEG-alpha rhythms and memory processes. International Journal of Psychophysiology, 26(1–3), 319–340.PubMedCrossRef

Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29(2–3), 169–195.PubMedCrossRef

Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Science, 16(12), 606–617. https://doi.org/10.1016/j.tics.2012.10.007.CrossRef

Klimesch, W., Doppelmayr, M., Schimke, H., & Pachinger, T. (1996). Alpha frequency, reaction time, and the speed of processing information. Journal of Clinical Neurophysiology, 13(6), 511–518.PubMedCrossRef

Klimesch, W., Sauseng, P., & Hanslmayr, S. (2007). EEG alpha oscillations: The inhibition-timing hypothesis. Brain Research Reviews, 53(1), 63–88. https://doi.org/10.1016/j.brainresrev.2006.06.003.CrossRefPubMed

Knaus, T. A., Silver, A. M., Dominick, K. C., Schuring, M. D., Shaffer, N., Lindgren, K. A., et al. (2009). Age-related changes in the anatomy of language regions in autism spectrum disorder. Brain Imaging and Behavior, 3(1), 51–63. https://doi.org/10.1007/s11682-008-9048-x.CrossRefPubMedPubMedCentral

Larson, C. L., Davidson, R. J., Abercrombie, H. C., Ward, R. T., Schaefer, S. M., Jackson, D. C., et al. (1998). Relations between PET-derived measures of thalamic glucose metabolism and EEG alpha power. Psychophysiology, 35(2), 162–169.PubMedCrossRef

Lefebvre, A., Delorme, R., Delanoë, C., Amsellem, F., Beggiato, A., Germanaud, D., et al. (2018). Alpha waves as a neuromarker of autism spectrum disorder: The challenge of reproducibility and heterogeneity. Frontiers in Neuroscience, 12, 662. https://doi.org/10.3389/fnins.2018.00662.CrossRefPubMedPubMedCentral

Levitt, P., Eagleson, K. L., & Powell, E. M. (2004). Regulation of neocortical interneuron development and the implications for neurodevelopmental disorders. Trends in Neurosciences, 27(7), 400–406. https://doi.org/10.1016/j.tins.2004.05.008.CrossRefPubMed

Lin, H. Y., Ni, H. C., Lai, M. C., Tseng, W. I., & Gau, S. S. (2015). Regional brain volume differences between males with and without autism spectrum disorder are highly age-dependent. Molecular Autism, 6, 29. https://doi.org/10.1186/s13229-015-0022-3.CrossRefPubMedPubMedCentral

Lindgren, K. A., Larson, C. L., Schaefer, S. M., Abercrombie, H. C., Ward, R. T., Oakes, T. R., et al. (1999). Thalamic metabolic rate predicts EEG alpha power in healthy control subjects but not in depressed patients. Biological Psychiatry, 45(8), 943–952.PubMedCrossRef

Lopes Da Silva, F. H., Van Lierop, T. H. M. T., Schrijer, C. F., & Storm Van Leeuwen, W. (1973). Organization of thalamic and cortical alpha rhythms: Spectra and coherences. Electroencephalography and Clinical Neurophysiology, 35(6), 627–639.CrossRef

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 commuciation deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205–223.PubMedCrossRef

Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism diagnostic interview-revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659–685.PubMedCrossRef

Lorincz, M. L., Kékesi, K. A., Juhász, G., Crunelli, V., & Hughes, S. W. (2009). Temporal framing of thalamic relay-mode firing by phasic inhibition during the alpha rhythm. Neuron, 63(5), 683–696. https://doi.org/10.1016/j.neuron.2009.08.012.CrossRefPubMedPubMedCentral

Matousek, M., & Petersén, I. (1973). Automatic evaluation of EEG background activity by means of age-dependent EEG quotients. Electroencephalography and Clinical Neurophysiology, 35(6), 603–612.PubMedCrossRef

Matsuura, M., Yamamoto, K., Fukuzawa, H., Okubo, Y., Uesugi, H., Moriiwa, M., et al. (1985). Age development and sex differences of various EEG elements in healthy children and adults–quantification by a computerized wave form recognition method. Electroencephalography and Clinical Neurophysiology, 60(5), 394–406.PubMedCrossRef

Mayes, S. D., & Calhoun, S. L. (2003). Analysis of WISC-III, Stanford-Binet:IV, and academic achievement test scores in children with autism. Journal of Autism and Developmental Disorders, 33(3), 329–341. https://doi.org/10.1023/a:1024462719081.CrossRefPubMed

Mayes, S. D., & Calhoun, S. L. (2008). WISC-IV and WIAT-II profiles in children with high-functioning autism. Journal of Autism and Developmental Disorders, 38(3), 428–439. https://doi.org/10.1007/s10803-007-0410-4.CrossRefPubMed

Mierau, A., Klimesch, W., & Lefebvre, J. (2017). State-dependent alpha peak frequency shifts: Experimental evidence, potential mechanisms and functional implications. Neuroscience, 360, 146–154. https://doi.org/10.1016/j.neuroscience.2017.07.037.CrossRefPubMed

Miskovic, V., Ma, X., Chou, C. A., Fan, M., Owens, M., Sayama, H., et al. (2015). Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood. Neuroimage, 118, 237–247. https://doi.org/10.1016/j.neuroimage.2015.06.013.CrossRefPubMed

Nair, A., Treiber, J. M., Shukla, D. K., Shih, P., & Müller, R. A. (2013). Impaired thalamocortical connectivity in autism spectrum disorder: A study of functional and anatomical connectivity. Brain, 136(Pt 6), 1942–1955. https://doi.org/10.1093/brain/awt079.CrossRefPubMedPubMedCentral

Nicolelis, M. A., & Fanselow, E. E. (2002). Thalamocortical optimization of tactile processing according to behavioral state. Nature Neuroscience, 5(6), 517–523. https://doi.org/10.1038/nn0602-517.CrossRefPubMed

Niedermeyer, E. (1993). Maturation of the EEG: development of waking and sleep patterns. In E. Niedermeyer & F. H. Lopes da Silva (Eds.), Electroencephalography: Basic principles, clinical applications, and related fields (pp. 167–191). Baltimore: Williams and Wilkins.

Niedermeyer, E. (1999). The normal EEG of the waking adult. Philadelphia: Williams and Wilkins.

Nydén, A., Billstedt, E., Hjelmquist, E., & Gillberg, C. (2001). Neurocognitive stability in asperger syndrome, ADHD, and reading and writing disorder: A pilot study. Developmental Medicine and Child Neurology, 43(3), 165–171.PubMedCrossRef

Oliveras-Rentas, R. E., Kenworthy, L., Roberson, R. B., Martin, A., & Wallace, G. L. (2012). WISC-IV profile in high-functioning autism spectrum disorders: Impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities. Journal of Autism and Developmental Disorders, 42(5), 655–664. https://doi.org/10.1007/s10803-011-1289-7.CrossRefPubMedPubMedCentral

Ouyang, M., Cheng, H., Mishra, V., Gong, G., Mosconi, M. W., Sweeney, J., et al. (2016). Atypical age-dependent effects of autism on white matter microstructure in children of 2–7 years. Human Brain Mapping, 37(2), 819–832. https://doi.org/10.1002/hbm.23073.CrossRefPubMed

Palva, S., & Palva, J. M. (2007). New vistas for alpha-frequency band oscillations. Trends in Neurosciences, 30(4), 150–158. https://doi.org/10.1016/j.tins.2007.02.001.CrossRefPubMed

Petersén, I., & Eeg-Olofsson, O. (1971). The development of the electroencephalogram in normal children from the age of 1 through 15 year non-paroxysmal activity. Neuropadiatrie, 2(3), 247–304.PubMedCrossRef

Port, R. G., Dipiero, M. A., Ku, M., Liu, S., Blaskey, L., Kuschner, E. S., et al. (2019). Children with autism spectrum disorder demonstrate regionally specific altered resting-state phase-amplitude coupling. Brain Connect, 9(5), 425–436. https://doi.org/10.1089/brain.2018.0653.CrossRefPubMedPubMedCentral

Redcay, E., & Courchesne, E. (2005). When is the brain enlarged in autism? A meta-analysis of all brain size reports. Biological Psychiatry, 58(1), 1–9. https://doi.org/10.1016/j.biopsych.2005.03.026.CrossRefPubMed

Rojas, D. C., Camou, S. L., Reite, M. L., & Rogers, S. J. (2005). Planumtemporale volume in children and adolescents with autism. Journal of Autism and Developmental Disorders, 35(4), 479–486. https://doi.org/10.1007/s10803-005-5038-7.CrossRefPubMed

Sadato, N., Nakamura, S., Oohashi, T., Nishina, E., Fuwamoto, Y., Waki, A., et al. (1998). Neural networks for generation and suppression of alpha rhythm: A PET study. NeuroReport, 9(5), 893–897.PubMedCrossRef

Salmelin, R., & Hari, R. (1994). Characterization of spontaneous MEG rhythms in healthy adults. Electroencephalography and Clinical Neurophysiology, 91, 237–248.PubMedCrossRef

Scherg, M., & Berg, P. (1996). New concepts of brain source imaging and localization. Electroencephalography and Clinical Neurophysiology, 46, 127–137.

Scherg, M., & Ebersole, J. S. (1993). Models of brain sources. Brain Topography, 5(4), 419–423.PubMedCrossRef

Schmid, M. C., Singer, W., & Fries, P. (2012). Thalamic coordination of cortical communication. Neuron, 75(4), 551–552. https://doi.org/10.1016/j.neuron.2012.08.009.CrossRefPubMed

Schreckenberger, M., Lange-Asschenfeldt, C., Lange-Asschenfeld, C., Lochmann, M., Mann, K., Siessmeier, T., et al. (2004). The thalamus as the generator and modulator of EEG alpha rhythm: A combined PET/EEG study with lorazepam challenge in humans. Neuroimage, 22(2), 637–644. https://doi.org/10.1016/j.neuroimage.2004.01.047.CrossRefPubMed

Schuetze, M., Park, M. T., Cho, I. Y., MacMaster, F. P., Chakravarty, M. M., & Bray, S. L. (2016). Morphological alterations in the thalamus, striatum, and pallidum in autism spectrum disorder. Neuropsychopharmacology, 41(11), 2627–2637. https://doi.org/10.1038/npp.2016.64.CrossRefPubMedPubMedCentral

Smit, D. J., Posthuma, D., Boomsma, D. I., & Geus, E. J. (2005). Heritability of background EEG across the power spectrum. Psychophysiology, 42(6), 691–697. https://doi.org/10.1111/j.1469-8986.2005.00352.x.CrossRefPubMed

Smith, E., Thurm, A., Greenstein, D., Farmer, C., Swedo, S., Giedd, J., et al. (2016). Cortical thickness change in autism during early childhood. Human Brain Mapping, 37(7), 2616–2629. https://doi.org/10.1002/hbm.23195.CrossRefPubMedPubMedCentral

Somsen, R. J., van’t Klooster, B. J., van der Molen, M. W., van Leeuwen, H. M., & Licht, R. (1997). Growth spurts in brain maturation during middle childhood as indexed by EEG power spectra. Biological Psychology, 44(3), 187–209.PubMedCrossRef

Steriade, M., & Deschenes, M. (1984). The thalamus as a neuronal oscillator. Brain Research, 320(1), 1–63.PubMed

Stroganova, T. A., Orekhova, E. V., & Posikera, I. N. (1999). EEG alpha rhythm in infants. Clinical Neurophysiology, 110(6), 997–1012.PubMedCrossRef

Tsatsanis, K. D., Rourke, B. P., Klin, A., Volkmar, F. R., Cicchetti, D., & Schultz, R. T. (2003). Reduced thalamic volume in high-functioning individuals with autism. Biological Psychiatry, 53(2), 121–129.PubMedCrossRef

Valdes, P., Valdes, M., Carballo, J. A., Alvarez, A., Diaz, G. F., Biscay, R., et al. (1992). QEEG in a public health system. Brain Topography, 4, 259–266.PubMedCrossRef

Valdes-Hernandez, P. A., Ojeda-Gonzalez, A., Martinez-Montes, E., Lage-Castellanos, A., Virues-Alba, T., Valdes-Urrutia, L., et al. (2010). White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm. Neuroimage, 49(3), 2328–2339. https://doi.org/10.1016/j.neuroimage.2009.10.030.CrossRefPubMed

Valdés, P., Valdés, M., Carballo, J. A., Alvarez, A., Díaz, G. F., Biscay, R., et al. (1992). QEEG in a public health system. Brain Topography, 4(4), 259–266.PubMedCrossRef

Van Baal, G. C., De Geus, E. J., & Boomsma, D. I. (1996). Genetic architecture of EEG power spectra in early life. Electroencephalography and Clinical Neurophysiology, 98(6), 502–514.PubMedCrossRef

van Beijsterveldt, C. E., & van Baal, G. C. (2002). Twin and family studies of the human electroencephalogram: A review and a meta-analysis. Biological Psychology, 61(1–2), 111–138.PubMedCrossRef

Wechsler, D. (2003). Wechsler intelligence scale for children. Administration and scoring manual (4th ed.). San Antonio, TX: Harcourt Assessment Inc.

Wechsler, D. (2011). “Wechsler abbreviated scale of intelligence” 2nd. San Antonio, TX: Pearson Clinical Assessment.

Wechsler, D. (2014). Wechsler intelligence scale for children - (WISC-V): Technical and interpretive manual. Bloomington, MN: Pearson Clinical Assessment.

Whitford, T. J., Rennie, C. J., Grieve, S. M., Clark, C. R., Gordon, E., & Williams, L. M. (2007). Brain maturation in adolescence: Concurrent changes in neuroanatomy and neurophysiology. Human Brain Mapping, 28(3), 228–237. https://doi.org/10.1002/hbm.20273.CrossRefPubMed

Titel: Peak Alpha Frequency and Thalamic Structure in Children with Typical Development and Autism Spectrum Disorder
Auteurs: Heather L. Green
Marissa Dipiero
Simon Koppers
Jeffrey I. Berman
Luke Bloy
Song Liu
Emma McBride
Matthew Ku
Lisa Blaskey
Emily Kuschner
Megan Airey
Mina Kim
Kimberly Konka
Timothy P. L. Roberts
J. Christopher Edgar
Publicatiedatum: 25-02-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 1/2022
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-021-04926-9

Andere artikelen Uitgave 1/2022

Developing a Toothbrushing Visual Pedagogy (TBVP) for Preschool Children with Autism Spectrum Disorder

Original Paper

Video Games for the Treatment of Autism Spectrum Disorder: A Systematic Review

Original Paper

Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School

Open Access
Original Paper

Combining Readers Theater, Story Mapping and Video Self-Modeling Interventions to Improve Narrative Reading Comprehension in Children with Autism Spectrum Disorder

Original Paper

Correction to: Identifying Predictors of Momentary Negative Affect and Depression Severity in Adolescents with Autism: An Exploratory Ecological Momentary Assessment Study

Correction

The Actor–Partner Effects of Parenting Stress on Quality of Life Among Parents of Children with ASD: The Mediating Role of Mental Quality of Life

Original Paper

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Peak Alpha Frequency and Thalamic Structure in Children with Typical Development and Autism Spectrum Disorder

Abstract

Andere artikelen Uitgave 1/2022

Developing a Toothbrushing Visual Pedagogy (TBVP) for Preschool Children with Autism Spectrum Disorder

Video Games for the Treatment of Autism Spectrum Disorder: A Systematic Review

Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School

Combining Readers Theater, Story Mapping and Video Self-Modeling Interventions to Improve Narrative Reading Comprehension in Children with Autism Spectrum Disorder

Correction to: Identifying Predictors of Momentary Negative Affect and Depression Severity in Adolescents with Autism: An Exploratory Ecological Momentary Assessment Study

The Actor–Partner Effects of Parenting Stress on Quality of Life Among Parents of Children with ASD: The Mediating Role of Mental Quality of Life

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Developing a Toothbrushing Visual Pedagogy (TBVP) for Preschool Children with Autism Spectrum Disorder

Video Games for the Treatment of Autism Spectrum Disorder: A Systematic Review

Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School

Combining Readers Theater, Story Mapping and Video Self-Modeling Interventions to Improve Narrative Reading Comprehension in Children with Autism Spectrum Disorder

Correction to: Identifying Predictors of Momentary Negative Affect and Depression Severity in Adolescents with Autism: An Exploratory Ecological Momentary Assessment Study

The Actor–Partner Effects of Parenting Stress on Quality of Life Among Parents of Children with ASD: The Mediating Role of Mental Quality of Life