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12-04-2024 | Original Article

Resting Frontal Gamma Power is Associated with Both Expressive Language and Non-verbal Cognitive Abilities in Young Autistic Children

Auteurs: Cora E. Mukerji, John S. Wilson III, Carol L. Wilkinson, Manon A. Krol, Charles A. Nelson, Helen Tager-Flusberg

Gepubliceerd in: Journal of Autism and Developmental Disorders

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Abstract

Previous research links resting frontal gamma power to key developmental outcomes in young neurotypical (NT) children and infants at risk for language impairment. However, it remains unclear whether gamma power is specifically associated with language or with more general cognitive abilities among young children diagnosed with autism spectrum disorder (ASD). The current study evaluates differences in resting frontal gamma power between young autistic and NT children and tests whether gamma power is uniquely associated with individual differences in expressive language, receptive language and non-verbal cognitive abilities in autistic and NT children. Participants included 48 autistic children and 58 age- and sex-matched NT children (ages 22–60 months). Baseline electroencephalography (EEG) recordings were acquired from each participant. Children also completed the Mullen Scales of Early Learning (MSEL). We found that frontal gamma power at rest did not differ between autistic and NT children. Among autistic children, reduced frontal gamma power was significantly associated with both higher expressive language skills and higher non-verbal cognitive skills, controlling for age and sex. The interaction between frontal gamma power and diagnostic status no longer explained unique variance in expressive language skills after controlling for variance associated with non-verbal cognitive skills across autistic and NT children. Together, these findings suggest that reduced gamma power is associated with both better expressive language and non-verbal cognitive skills among young autistic children. Moreover, associations between high frequency neural activity and cognition are not specific to verbal abilities but reflect neural mechanisms associated with general higher-order cognitive abilities in ASD.
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Literatuur
go back to reference American Psychiatric Association. (2022). Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR). American Psychiatric Association Publishing.CrossRef American Psychiatric Association. (2022). Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR). American Psychiatric Association Publishing.CrossRef
go back to reference Anderson, D. K., Lord, C., Risi, S., DiLavore, P. S., Shulman, C., Thurm, A., Welch, K., & Pickles, A. (2007). Patterns of growth in verbal abilities among children with autism spectrum disorder. Journal of Consulting and Clinical Psychology, 75(4), 594.PubMedCrossRef Anderson, D. K., Lord, C., Risi, S., DiLavore, P. S., Shulman, C., Thurm, A., Welch, K., & Pickles, A. (2007). Patterns of growth in verbal abilities among children with autism spectrum disorder. Journal of Consulting and Clinical Psychology, 75(4), 594.PubMedCrossRef
go back to reference Benasich, A. A., Gou, Z., Choudhury, N., & Harris, K. D. (2008). Early cognitive and language skills are linked to resting frontal gamma power across the first 3 years. Behavioural Brain Research, 195, 215–222.PubMedPubMedCentralCrossRef Benasich, A. A., Gou, Z., Choudhury, N., & Harris, K. D. (2008). Early cognitive and language skills are linked to resting frontal gamma power across the first 3 years. Behavioural Brain Research, 195, 215–222.PubMedPubMedCentralCrossRef
go back to reference Brito, N. H., Fifer, W. P., Myers, M. M., Elliott, A. J., & Noble, K. G. (2016). Associations among family socioeconomic status, EEG power at birth, and cognitive skills during infancy. Developmental Cognitive Neuroscience, 19, 144–151.PubMedPubMedCentralCrossRef Brito, N. H., Fifer, W. P., Myers, M. M., Elliott, A. J., & Noble, K. G. (2016). Associations among family socioeconomic status, EEG power at birth, and cognitive skills during infancy. Developmental Cognitive Neuroscience, 19, 144–151.PubMedPubMedCentralCrossRef
go back to reference Coghlan, S., Horder, J., Inkster, B., Mendez, M. A., Murphy, D. G., & Nutt, D. J. (2012). GABA system dysfunction in autism and related disorders: From synapse to symptoms. Neuroscience & Biobehavioral Reviews, 36(9), 2044–2055.CrossRef Coghlan, S., Horder, J., Inkster, B., Mendez, M. A., Murphy, D. G., & Nutt, D. J. (2012). GABA system dysfunction in autism and related disorders: From synapse to symptoms. Neuroscience & Biobehavioral Reviews, 36(9), 2044–2055.CrossRef
go back to reference Delorme, A., Sejnowski, T., & Makeig, S. (2007). Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage, 34, 1443–1449.PubMedCrossRef Delorme, A., Sejnowski, T., & Makeig, S. (2007). Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage, 34, 1443–1449.PubMedCrossRef
go back to reference Fitzgibbon, S. P., Pope, K. J., Mackenzie, L., Clark, C. R., & Willoughby, J. O. (2004). Cognitive tasks augment gamma EEG power. Clinical Neurophysiology, 115(8), 1802–1809.PubMedCrossRef Fitzgibbon, S. P., Pope, K. J., Mackenzie, L., Clark, C. R., & Willoughby, J. O. (2004). Cognitive tasks augment gamma EEG power. Clinical Neurophysiology, 115(8), 1802–1809.PubMedCrossRef
go back to reference Fontenot, K., Semega, J., & Kollar, M. (2018). Income and poverty in the United States: 2017. Current Population Reports, 60, 263. Fontenot, K., Semega, J., & Kollar, M. (2018). Income and poverty in the United States: 2017. Current Population Reports, 60, 263.
go back to reference Fries, P., Nikoli, D., & Singer, W. (2007). Thegammacycle. Trends in Neurosciences, 30(7), 309–316.PubMedCrossRef Fries, P., Nikoli, D., & Singer, W. (2007). Thegammacycle. Trends in Neurosciences, 30(7), 309–316.PubMedCrossRef
go back to reference Gabard-Durnam, L. J., Mendez Leal, A. S., Wilkinson, C. L., & Levin, A. R. (2018). The harvard automated processing pipeline for electroencephalography (HAPPE): Standardized processing software for developmental and high-artifact data. Frontiers in Neuroscience, 12, 97.PubMedPubMedCentralCrossRef Gabard-Durnam, L. J., Mendez Leal, A. S., Wilkinson, C. L., & Levin, A. R. (2018). The harvard automated processing pipeline for electroencephalography (HAPPE): Standardized processing software for developmental and high-artifact data. Frontiers in Neuroscience, 12, 97.PubMedPubMedCentralCrossRef
go back to reference Gabard-Durnam, L. J., Wilkinson, C., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2019). Longitudinal EEG power in the first postnatal year differentiates autism outcomes. Nature Communications, 10(1), 1–12.CrossRef Gabard-Durnam, L. J., Wilkinson, C., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2019). Longitudinal EEG power in the first postnatal year differentiates autism outcomes. Nature Communications, 10(1), 1–12.CrossRef
go back to reference Gandhi, T., Panigrahi, B., & Anand, S. (2011). A comparative study of wavelet families for EEG signal classification. Neurocomputing, 74, 3051–3057.CrossRef Gandhi, T., Panigrahi, B., & Anand, S. (2011). A comparative study of wavelet families for EEG signal classification. Neurocomputing, 74, 3051–3057.CrossRef
go back to reference Gou, Z., Choudhury, N., & Benasich, A. A. (2011). Resting frontal gamma power at 16, 24 and 36 months predicts individual differences in language and cognition at 4 and 5 years. Behavioural Brain Research, 220(2), 263.PubMedPubMedCentralCrossRef Gou, Z., Choudhury, N., & Benasich, A. A. (2011). Resting frontal gamma power at 16, 24 and 36 months predicts individual differences in language and cognition at 4 and 5 years. Behavioural Brain Research, 220(2), 263.PubMedPubMedCentralCrossRef
go back to reference Hensch, T. K., & Fagiolini, M. (2005). Excitatory-inhibitory balance and critical period plasticity in developing visual ortex. Progress in Brain Research, 147, 115–124.PubMedCrossRef Hensch, T. K., & Fagiolini, M. (2005). Excitatory-inhibitory balance and critical period plasticity in developing visual ortex. Progress in Brain Research, 147, 115–124.PubMedCrossRef
go back to reference Hipp, J. F., & Siegel, M. (2013). Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EG. Frontiers in Human Neuroscience, 7, 338.PubMedPubMedCentralCrossRef Hipp, J. F., & Siegel, M. (2013). Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EG. Frontiers in Human Neuroscience, 7, 338.PubMedPubMedCentralCrossRef
go back to reference Howard, M. W., Rizzuto, D. S., Caplan, J. B., Madsen, J. R., Lisman, J., Aschenbrenner-Scheibe, R., & Kahana, M. J. (2003). Gamma oscillations correlate with working memory load in humans. Cerebral Cortex, 13(12), 1369–1374.PubMedCrossRef Howard, M. W., Rizzuto, D. S., Caplan, J. B., Madsen, J. R., Lisman, J., Aschenbrenner-Scheibe, R., & Kahana, M. J. (2003). Gamma oscillations correlate with working memory load in humans. Cerebral Cortex, 13(12), 1369–1374.PubMedCrossRef
go back to reference Hussman, J. P. (2001). Suppressed GABAergic inhibition as a common factor in suspected etiologies of autism. Journal of Autism and Developmental Disorders, 31(2), 247–248.PubMedCrossRef Hussman, J. P. (2001). Suppressed GABAergic inhibition as a common factor in suspected etiologies of autism. Journal of Autism and Developmental Disorders, 31(2), 247–248.PubMedCrossRef
go back to reference Jahan, M. U., Karim, R., Rahman, A., & Akhter, S. (2015). Cognitive functions and health related quality of life of institutional autism spectrum disorder children in Dhaka city. Bangladesh Medical Research Council Bulletin, 41(3), 151–159.PubMedCrossRef Jahan, M. U., Karim, R., Rahman, A., & Akhter, S. (2015). Cognitive functions and health related quality of life of institutional autism spectrum disorder children in Dhaka city. Bangladesh Medical Research Council Bulletin, 41(3), 151–159.PubMedCrossRef
go back to reference Jung T.-P., Humphries C., Lee T.-W., Makeig S., Mckeown M. J., Iragui V., & Sejnowski, T. J. (1998). Extended ICA Removes Artifacts from Electroencephalographic Recordings. Jung T.-P., Humphries C., Lee T.-W., Makeig S., Mckeown M. J., Iragui V., & Sejnowski, T. J. (1998). Extended ICA Removes Artifacts from Electroencephalographic Recordings.
go back to reference Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008). Entrainment of neuronal oscillations as a mechanism of attentional selection. Science, 320(5872), 110–113.PubMedCrossRef Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008). Entrainment of neuronal oscillations as a mechanism of attentional selection. Science, 320(5872), 110–113.PubMedCrossRef
go back to reference Levin, A. R., Méndez Leal, A. S., Gabard-Durnam, L. J., & O’Leary, H. M. (2018). BEAPP: The batch electroencephalography automated processing platform. Frontiers in Neuroscience, 12, 513.PubMedPubMedCentralCrossRef Levin, A. R., Méndez Leal, A. S., Gabard-Durnam, L. J., & O’Leary, H. M. (2018). BEAPP: The batch electroencephalography automated processing platform. Frontiers in Neuroscience, 12, 513.PubMedPubMedCentralCrossRef
go back to reference Levin, A. R., Varcin, K. J., O’Leary, H. M., Tager-Flusberg, H., & Nelson, C. A. (2017). EEG power at 3 months in infants at high familial risk for autism. Journal of Neurodevelopmental Disorders, 9(1), 34.PubMedPubMedCentralCrossRef Levin, A. R., Varcin, K. J., O’Leary, H. M., Tager-Flusberg, H., & Nelson, C. A. (2017). EEG power at 3 months in infants at high familial risk for autism. Journal of Neurodevelopmental Disorders, 9(1), 34.PubMedPubMedCentralCrossRef
go back to reference Lord, C., & Rutter, M. (2012). Autism Diagnostic Observation Schedule (2nd ed.). Western Psychological Services. Lord, C., & Rutter, M. (2012). Autism Diagnostic Observation Schedule (2nd ed.). Western Psychological Services.
go back to reference Manoharan, T. A., & Radhakrishnan, M. (2023). Region-wise brain response classification of ASD children using EEG and BiLSTM RNN. Clinical EEG and Neuroscience, 54(5), 461–471.PubMedCrossRef Manoharan, T. A., & Radhakrishnan, M. (2023). Region-wise brain response classification of ASD children using EEG and BiLSTM RNN. Clinical EEG and Neuroscience, 54(5), 461–471.PubMedCrossRef
go back to reference MATLAB. (2018). 9.7.0.1190202 (R2019b). The MathWorks Inc. MATLAB. (2018). 9.7.0.1190202 (R2019b). The MathWorks Inc.
go back to reference McFadden, K. L., Hepburn, S., Winterrowd, E., Schmidt, G. L., & Rojas, D. C. (2012). Abnormalities in gamma-band responses to language stimuli in first-degree relatives of children with autism spectrum disorder: An MEG study. BMC Psychiatry, 12(1), 1–18.CrossRef McFadden, K. L., Hepburn, S., Winterrowd, E., Schmidt, G. L., & Rojas, D. C. (2012). Abnormalities in gamma-band responses to language stimuli in first-degree relatives of children with autism spectrum disorder: An MEG study. BMC Psychiatry, 12(1), 1–18.CrossRef
go back to reference Mullen, E. M. (1995). Mullen Scales of Early Learning (58–64). AGS. Mullen, E. M. (1995). Mullen Scales of Early Learning (58–64). AGS.
go back to reference Olson, L., Kinnear, M., Chen, B., Reynolds, S., Ibarra, C., Wang, T., Linke, A., & Fishman, I. (2021). Socioeconomic factors account for variability in language skills in preschoolers with autism spectrum disorders. Journal of Developmental and Behavioral Pediatrics : JDBP, 42(2), 101–108.PubMedCrossRef Olson, L., Kinnear, M., Chen, B., Reynolds, S., Ibarra, C., Wang, T., Linke, A., & Fishman, I. (2021). Socioeconomic factors account for variability in language skills in preschoolers with autism spectrum disorders. Journal of Developmental and Behavioral Pediatrics : JDBP, 42(2), 101–108.PubMedCrossRef
go back to reference Peña, M., & Melloni, L. (2012). Brain oscillations during spoken sentence processing. Journal of Cognitive Neuroscience, 24(5), 1149–1164.PubMedCrossRef Peña, M., & Melloni, L. (2012). Brain oscillations during spoken sentence processing. Journal of Cognitive Neuroscience, 24(5), 1149–1164.PubMedCrossRef
go back to reference Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002). Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nature Neuroscience, 5(8), 805–811.PubMedCrossRef Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002). Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nature Neuroscience, 5(8), 805–811.PubMedCrossRef
go back to reference Pierce, S., Kadlaskar, G., Edmondson, D. A., McNally Keehn, R., Dydak, U., & Keehn, B. (2021). Associations between sensory processing and electrophysiological and neurochemical measures in children with ASD: An EEG-MRS study. Journal of Eurodevelopmental Disorders, 13(1), 5.CrossRef Pierce, S., Kadlaskar, G., Edmondson, D. A., McNally Keehn, R., Dydak, U., & Keehn, B. (2021). Associations between sensory processing and electrophysiological and neurochemical measures in children with ASD: An EEG-MRS study. Journal of Eurodevelopmental Disorders, 13(1), 5.CrossRef
go back to reference Righi, G., Tierney, A. L., Tager-Flusberg, H., & Nelson, C. A. (2014). Functional connectivity in the first year of life in infants at risk for autism spectrum disorder: An EEG study. PLoS ONE, 9(8), e105176.PubMedPubMedCentralCrossRef Righi, G., Tierney, A. L., Tager-Flusberg, H., & Nelson, C. A. (2014). Functional connectivity in the first year of life in infants at risk for autism spectrum disorder: An EEG study. PLoS ONE, 9(8), e105176.PubMedPubMedCentralCrossRef
go back to reference Romeo, R. R., Choi, B., Gabard-Durnam, L. J., Wilkinson, C. L., Levin, A. R., Rowe, M. L., Tager-Flusberg, H., & Nelson, C. A., 3rd. (2022). Parental language input predicts neuroscillatory patterns associated with language development in toddlers at risk of autism. Journal of Autism and Developmental Disorders, 52(6), 2717–2731.PubMedCrossRef Romeo, R. R., Choi, B., Gabard-Durnam, L. J., Wilkinson, C. L., Levin, A. R., Rowe, M. L., Tager-Flusberg, H., & Nelson, C. A., 3rd. (2022). Parental language input predicts neuroscillatory patterns associated with language development in toddlers at risk of autism. Journal of Autism and Developmental Disorders, 52(6), 2717–2731.PubMedCrossRef
go back to reference Rubenstein, E., Schieve, L., Wiggins, L., Rice, C., Braun, K. V. N., Christensen, D., Durkin, M., Daniels, J., & Lee, L. (2018). Trends in documented co-occurring conditions in children with autism spectrum disorder, 2002–2010. Research in Developmental Disabilities, 83, 168–178.PubMedPubMedCentralCrossRef Rubenstein, E., Schieve, L., Wiggins, L., Rice, C., Braun, K. V. N., Christensen, D., Durkin, M., Daniels, J., & Lee, L. (2018). Trends in documented co-occurring conditions in children with autism spectrum disorder, 2002–2010. Research in Developmental Disabilities, 83, 168–178.PubMedPubMedCentralCrossRef
go back to reference Shekunov, J., Wozniak, J., Conroy, K., Pinsky, E., Fitzgerald, M., de Leon, M. F., Belser, A., Biederman, J., & Joshi, G. (2017). Prescribing patterns in a psychiatrically referred sample of youth with autism spectrum disorder. The Journal of Clinical Psychiatry, 78(9), 15306.CrossRef Shekunov, J., Wozniak, J., Conroy, K., Pinsky, E., Fitzgerald, M., de Leon, M. F., Belser, A., Biederman, J., & Joshi, G. (2017). Prescribing patterns in a psychiatrically referred sample of youth with autism spectrum disorder. The Journal of Clinical Psychiatry, 78(9), 15306.CrossRef
go back to reference Snijders, T. M., Milivojevic, B., & Kemner, C. (2013). Atypical excitation–inhibition balance in autism captured by the gamma response to contextual modulation. NeuroImage: Clinical, 3, 65–72.PubMedCrossRef Snijders, T. M., Milivojevic, B., & Kemner, C. (2013). Atypical excitation–inhibition balance in autism captured by the gamma response to contextual modulation. NeuroImage: Clinical, 3, 65–72.PubMedCrossRef
go back to reference Sohal, V. S., & Rubenstein, J. L. (2019). Excitation-inhibition balance as a framework for investigating mechanisms in europsychiatric disorders. Molecular Psychiatry, 24(9), 1248–1257.PubMedPubMedCentralCrossRef Sohal, V. S., & Rubenstein, J. L. (2019). Excitation-inhibition balance as a framework for investigating mechanisms in europsychiatric disorders. Molecular Psychiatry, 24(9), 1248–1257.PubMedPubMedCentralCrossRef
go back to reference Tager-Flusberg, H., & Kasari, C. (2013). Minimally verbal school-aged children with autism spectrum disorder: The neglected end of the spectrum. Autism Research, 6(6), 468–478.PubMedCrossRef Tager-Flusberg, H., & Kasari, C. (2013). Minimally verbal school-aged children with autism spectrum disorder: The neglected end of the spectrum. Autism Research, 6(6), 468–478.PubMedCrossRef
go back to reference Tarullo, A. R., Obradovic, J., Keehn, B., Rasheed, M. A., Siyal, S., Nelson, C. A., & Yousafzai, A. K. (2017). Gamma power in rural Pakistani children: Links to executive function and verbal ability. Developmental Cognitive Neuroscience, 26, 1–8.PubMedPubMedCentralCrossRef Tarullo, A. R., Obradovic, J., Keehn, B., Rasheed, M. A., Siyal, S., Nelson, C. A., & Yousafzai, A. K. (2017). Gamma power in rural Pakistani children: Links to executive function and verbal ability. Developmental Cognitive Neuroscience, 26, 1–8.PubMedPubMedCentralCrossRef
go back to reference Taylor, K., Mandon, S., Freiwald, W. A., & Kreiter, A. K. (2005). Coherent oscillatory activity in monkey area V4 predicts successful allocation of attention. Cerebral Cortex, 15(9), 1424–1437.PubMedCrossRef Taylor, K., Mandon, S., Freiwald, W. A., & Kreiter, A. K. (2005). Coherent oscillatory activity in monkey area V4 predicts successful allocation of attention. Cerebral Cortex, 15(9), 1424–1437.PubMedCrossRef
go back to reference Thurm, A., Lord, C., Lee, L. C., & Newschaffer, C. (2007). Predictors of language acquisition in preschool children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 37(9), 1721–1734.PubMedCrossRef Thurm, A., Lord, C., Lee, L. C., & Newschaffer, C. (2007). Predictors of language acquisition in preschool children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 37(9), 1721–1734.PubMedCrossRef
go back to reference Thurm, A., Manwaring, S. S., Swineford, L., & Farmer, C. (2015). Longitudinal study of symptom severity and language in minimally verbal children with autism. Journal of Child Psychology and Psychiatry, 56(1), 97–104.PubMedCrossRef Thurm, A., Manwaring, S. S., Swineford, L., & Farmer, C. (2015). Longitudinal study of symptom severity and language in minimally verbal children with autism. Journal of Child Psychology and Psychiatry, 56(1), 97–104.PubMedCrossRef
go back to reference Tierney, A. L., Gabard-Durnam, L., Vogel-Farley, V., Tager-Flusberg, H., & Nelson, C. A. (2012). Developmental trajectories of resting EEG power: An endophenotype of autism spectrum disorder. PLoS ONE, 7(6), e39127.PubMedPubMedCentralCrossRef Tierney, A. L., Gabard-Durnam, L., Vogel-Farley, V., Tager-Flusberg, H., & Nelson, C. A. (2012). Developmental trajectories of resting EEG power: An endophenotype of autism spectrum disorder. PLoS ONE, 7(6), e39127.PubMedPubMedCentralCrossRef
go back to reference Wang, J., Barstein, J., Ethridge, L. E., Mosconi, M. W., Takarae, Y., & Sweeney, J. A. (2013). Resting state EEG abnormalities in autism spectrum disorders. Journal of Neurodevelopmental Disorders, 5(1), 24.PubMedPubMedCentralCrossRef Wang, J., Barstein, J., Ethridge, L. E., Mosconi, M. W., Takarae, Y., & Sweeney, J. A. (2013). Resting state EEG abnormalities in autism spectrum disorders. Journal of Neurodevelopmental Disorders, 5(1), 24.PubMedPubMedCentralCrossRef
go back to reference Wilkinson, C. L., Gabard-Durnam, L. J., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2020). Use of longitudinal EEG measures in estimating language development in infants with and without familial risk for autism spectrum disorder. Neurobiology of Language, 1(1), 33–53.PubMedCrossRef Wilkinson, C. L., Gabard-Durnam, L. J., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2020). Use of longitudinal EEG measures in estimating language development in infants with and without familial risk for autism spectrum disorder. Neurobiology of Language, 1(1), 33–53.PubMedCrossRef
go back to reference Wilkinson, C. L., Levin, A. R., Gabard-Durnam, L. J., Tager-Flusberg, H., & Nelson, C. A. (2019). Reduced frontal gamma power at 24 months is associated with better expressive language in toddlers at risk for autism. Autism Research, 12(8), 1211–1224.PubMedPubMedCentralCrossRef Wilkinson, C. L., Levin, A. R., Gabard-Durnam, L. J., Tager-Flusberg, H., & Nelson, C. A. (2019). Reduced frontal gamma power at 24 months is associated with better expressive language in toddlers at risk for autism. Autism Research, 12(8), 1211–1224.PubMedPubMedCentralCrossRef
go back to reference Wodka, E. L., Mathy, P., & Kalb, L. (2013). Predictors of phrase and fluent speech in children with autism and severe language delay. Pediatrics, 131(4), e1128–e1134.PubMedCrossRef Wodka, E. L., Mathy, P., & Kalb, L. (2013). Predictors of phrase and fluent speech in children with autism and severe language delay. Pediatrics, 131(4), e1128–e1134.PubMedCrossRef
Metagegevens
Titel
Resting Frontal Gamma Power is Associated with Both Expressive Language and Non-verbal Cognitive Abilities in Young Autistic Children
Auteurs
Cora E. Mukerji
John S. Wilson III
Carol L. Wilkinson
Manon A. Krol
Charles A. Nelson
Helen Tager-Flusberg
Publicatiedatum
12-04-2024
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-024-06308-3