Increased intra-participant variability in children with autistic spectrum disorders: evidence from single-trial analysis of evoked EEG
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Intra-participant variability in clinical conditions such as autistic spectrum disorder (ASD) is an important indicator of pathophysiological processing. The data reported here illustrate that trial-by-trial variability can be reliably measured from EEG, and that intra-participant EEG variability is significantly greater in those with ASD than in neuro-typical matched controls. EEG recorded at the scalp is a linear mixture of activity arising from muscle artifacts and numerous concurrent brain processes. To minimize these additional sources of variability, EEG data were subjected to two different methods of spatial filtering. (i) The data were decomposed using infomax independent component analysis, a method of blind source separation which un-mixes the EEG signal into components with maximally independent time-courses, and (ii) a surface Laplacian transform was performed (current source density interpolation) in order to reduce the effects of volume conduction. Data are presented from 13 high functioning adolescents with ASD without co-morbid ADHD, and 12 neuro-typical age-, IQ-, and gender-matched controls. Comparison of variability between the ASD and neuro-typical groups indicated that intra-participant variability of P1 latency and P1 amplitude was greater in the participants with ASD, and inter-trial α-band phase coherence was lower in the participants with ASD. These data support the suggestion that individuals with ASD are less able to synchronize the activity of stimulus-related cell assemblies than neuro-typical individuals, and provide empirical evidence in support of theories of increased neural noise in ASD.
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Individuals with ASD show decreased inter-trial alpha-band phase coherence during a visual spatial discrimination task.
“decreased inter-trial alpha-band phase coherence during a visual spatial discrimination task (Milne, 2011)”
From Behavioral, Perceptual, and Neural Alterations in Sensory and Multisensory Function in Autism Spectrum Disorder (2015) · cites this paper as Milne, 2011
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Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,308 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
Siegel, L. J., & Fletcher‐Janzen, E. (2008) · Wiley eBooks · doi:10.1002/9780470373699.speced0655 · Cited by 8,468 · see citing works
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,547 · see citing works
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681 · see citing works
Model of autism: increased ratio of excitation/inhibition in key neural systems
Rubenstein, J. L. R., & Merzenich, M. M. (2003) · Genes, Brain and Behavior · doi:10.1034/j.1601-183x.2003.00037.x · Cited by 2,768 · see citing works
Spherical splines for scalp potential and current density mapping
Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90180-6 · Cited by 2,706 · see citing works
Nunez, P. L., & Srinivasan, R. (2006) · doi:10.1093/acprof:oso/9780195050387.001.0001 · Cited by 2,531 · see citing works
Oscillatory gamma activity in humans and its role in object representation
Tallon‐Baudry, C. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01299-1 · Cited by 2,111 · see citing works
Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., & Charman, T. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69041-7 · Cited by 2,104 · see citing works
Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception
Mottron, L., Dawson, M., Soulières, I., Hubert, B., & Burack, J. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0040-7 · Cited by 1,957 · see citing works
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660 · see citing works
Mining event-related brain dynamics
Makeig, S., Debener, S., Onton, J., & Arnaud Delorme, A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.008 · Cited by 1,499 · see citing works
Autism screening questionnaire: diagnostic validity
Berument, S. K., Rutter, M., Lord, C., Pickles, A., & Bailey, A. (1999) · British Journal of Psychiatry · doi:10.1192/bjp.175.5.444 · Cited by 1,464 · see citing works
Blind separation of auditory event-related brain responses into independent components
Makeig, S., Jung, T., Bell, A. J., Ghahremani, D. G., & B, T. J. S. A. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.20.10979 · Cited by 1,211 · see citing works
Cortical sources of the early components of the visual evoked potential
Russo, F. D., Martı́nez, A., Sereno, M. I., Pitzalis, S., & Hillyard, S. A. (2001) · Human Brain Mapping · doi:10.1002/hbm.10010 · Cited by 1,170 · see citing works
Time to give up on a single explanation for autism
Happé, F., Ronald, A., & Plomin, R. (2006) · Nature Neuroscience · doi:10.1038/nn1770 · Cited by 987 · see citing works
Minicolumnar pathology in autism
Casanova, M. F., Buxhoeveden, D. P., Switala, A. E., & Roy, E. (2002) · Neurology · doi:10.1212/wnl.58.3.428 · Cited by 846 · see citing works
Evaluating the theory of executive dysfunction in autism
Hill, E. L. (2004) · Developmental Review · doi:10.1016/j.dr.2004.01.001 · Cited by 846 · see citing works
Frontal midline EEG dynamics during working memory
Onton, J., Arnaud Delorme, A., & Makeig, S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.04.014 · Cited by 846 · see citing works
Vision in autism spectrum disorders
Simmons, D. R., Robertson, A. E., McKay, L. S., Toal, E., McAleer, P., & Pollick, F. E. (2009) · Vision Research · doi:10.1016/j.visres.2009.08.005 · Cited by 827 · see citing works
Vagaries of Visual Perception in Autism
Dakin, S. C., & Frith, U. (2005) · Neuron · doi:10.1016/j.neuron.2005.10.018 · Cited by 763 · see citing works
Spatial sampling of head electrical fields: the geodesic sensor net
Tucker, D. M. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90121-b · Cited by 756 · see citing works
Imaging human EEG dynamics using independent component analysis
Onton, J., Westerfield, M., Townsend, J., & Makeig, S. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.007 · Cited by 672 · see citing works
Flow of activation from V1 to frontal cortex in humans
Foxe, J., & Simpson, G. (2002) · Experimental Brain Research · doi:10.1007/s00221-001-0906-7 · Cited by 670 · see citing works
Analysis and visualization of single‐trial event‐related potentials
Jung, T., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & B, T. J. S. A. (2001) · Human Brain Mapping · doi:10.1002/hbm.1050 · Cited by 657 · see citing works
Jürgen Kayser, A., & Tenke, C. E. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.08.034 · Cited by 638 · see citing works
Intact and Impaired Memory Functions in Autism
Bennetto, L., Pennington, B. F., & Rogers, S. J. (1996) · Child Development · doi:10.1111/j.1467-8624.1996.tb01830.x · Cited by 550 · see citing works
Intact and Impaired Memory Functions in Autism
Bennetto, L., Pennington, B. F., & Rogers, S. J. (1996) · Child Development · doi:10.2307/1131734 · Cited by 550 · see citing works
Varieties of Attention-Deficit/Hyperactivity Disorder-Related Intra-Individual Variability
Castellanos, F. X., Sonuga-Barke, E. J. S., Scheres, A., Di Martino, A., Hyde, C., & Walters, J. R. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.12.005 · Cited by 540 · see citing works
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005) · Brain · doi:10.1093/brain/awh561 · Cited by 536 · see citing works
Executive Function Abilities in Autism and Tourette Syndrome: An Information Processing Approach
Ozonoff, S. J., Strayer, D. L., McMahon, W. M., & Filloux, F. M. (1994) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1994.tb01807.x · Cited by 491 · see citing works
Bellgrove, M. A., Hester, R., & Garavan, H. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.05.007 · Cited by 445 · see citing works
Belmonte, M. K., Cook, E. H., Anderson, G. M., Rubenstein, J. L. R., Greenough, W. T., Beckel-Mitchener, A., Courchesne, E., Boulanger, L. M., Powell, S. B., Levitt, P. R., et al. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001499 · Cited by 442 · see citing works
The temporal binding deficit hypothesis of autism
BROCK, J., BROWN, C. C., BOUCHER, J., & RIPPON, G. (2002) · Development and Psychopathology · doi:10.1017/s0954579402002018 · Cited by 419 · see citing works
Enhanced visual search for a conjunctive target in autism: a research note
Plaisted, K., O'Riordan, M., & Baron-Cohen, S. (1998) · Journal of Child Psychology and Psychiatry · doi:10.1017/s0021963098002613 · Cited by 405 · see citing works
High motion coherence thresholds in children with autism
Milne, E., Swettenham, J., Hansen, P., Campbell, R., Jeffries, H., & Plaisted, K. C. (2002) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00018 · Cited by 382 · see citing works
Children and adolescents with autism exhibit reduced MEG steady-state gamma responses
Wilson, T. W., Rojas, D. C., Reite, M. L., Teale, P. D., & Rogers, S. J. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.07.002 · Cited by 350 · see citing works
AUTISM: A Window Onto the Development of the Social and the Analytic Brain
Baron‐Cohen, S., & Belmonte, M. K. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144137 · Cited by 342 · see citing works
LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
Pernet, C. R., Chauveau, N., Gaspar, C., & Rousselet, G. A. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/831409 · Cited by 304 · see citing works
Neuronal assemblies: necessity, signature and detectability
Singer, W., Engel, A. K., Kreiter, A. K., Munk, M. H. J., Neuenschwander, S., & Roelfsema, P. R. (1997) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(97)01079-6 · Cited by 292 · see citing works
Debener, S., Makeig, S., Arnaud Delorme, A., & Engel, A. K. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.09.006 · Cited by 287 · see citing works
Cortical Folding Abnormalities in Autism Revealed by Surface-Based Morphometry
Nordahl, C. W., Dierker, D. L., Mostafavi, I., Schumann, C. M., Rivera, S. M., Amaral, D. G., & Essen, D. C. V. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0777-07.2007 · Cited by 283 · see citing works
Attention function and dysfunction in autism
Allen, G. (2001) · Frontiers in Bioscience · doi:10.2741/allen · Cited by 256 · see citing works
Intra-individual variability in ADHD, autism spectrum disorders and Tourette's syndrome
Geurts, H. M., Grasman, R. P. P. P., Verté, S., Oosterlaan, J., Roeyers, H., van Kammen, S. M., & Sergeant, J. A. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.06.013 · Cited by 192 · see citing works
Rojas, D. C., Maharajh, K., Teale, P. D., & Rogers, S. J. (2008) · BMC Psychiatry · doi:10.1186/1471-244x-8-66 · Cited by 158 · see citing works
Milne, E., Scope, A., Pascalis, O., Buckley, D., & Makeig, S. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.07.017 · Cited by 148 · see citing works
Maurer, U. (2008) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.018.2008 · Cited by 141 · see citing works
Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method
Jaśkowskí, P., & Verleger, R. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.775409 · Cited by 124 · see citing works
Response variability in retinal ganglion cells of primates.
Croner, L. J., Purpura, K. P., & Kaplan, E. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.17.8128 · Cited by 123 · see citing works
Ales, J. M., Yates, J. L., & Norcia, A. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.016 · Cited by 119 · see citing works
Stuart, G. W., McAnally, K. I., & Castles, A. E. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00176-6 · Cited by 115 · see citing works
Is autism due to brain desynchronization?
Welsh, J. P., Ahn, E. S., & Placantonakis, D. G. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.09.002 · Cited by 108 · see citing works
Isler, J. R., Martien, K. M., Grieve, P. G., Stark, R. I., & Herbert, M. R. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.05.004 · Cited by 108 · see citing works
Estimation of single-evoked cerebral potentials by means of parametric modeling and Kalman filtering
Spreckelsen, M. V., & Bromm, B. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.7270 · Cited by 101 · see citing works
Klistorner, A. I., & Graham, S. L. (2001) · PubMed · Cited by 88 · see citing works
Mal-adaptation of event-related EEG responses preceding performance errors
Eichele, H. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00065 · Cited by 81 · see citing works
Jemel, B., Mimeault, D., Saint‐Amour, D., Hosein, A., & Mottron, L. (2010) · Journal of Vision · doi:10.1167/10.6.13 · Cited by 61 · see citing works
Look who is weaving the neural web: glial control of synapse formation
Bolton, M. M., & Eroğlu, Ç. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.09.007 · Cited by 50 · see citing works
Noise, variability, and the development of children’s perceptual-motor skills
Deutsch, K. M., & Newell, K. M. (2004) · Developmental Review · doi:10.1016/j.dr.2004.09.001 · Cited by 46 · see citing works
Single-Trial Evoked Brain Responses Modeled by Multivariate Matching Pursuit
Sielużycki, C., König, R., Matysiak, A., Kuś, R., Ircha, D., & Durka, P. J. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2002151 · Cited by 45 · see citing works
Individual variability, end-point effects and possible biases in electrophysiological research.
Sannita, W. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.04.026 · Cited by 35 · see citing works
Systematic latency variation of the auditory evoked M100: from average to single-trial data
Salajegheh, A., Link, A., Elster, C., Burghoff, M., Sander, T. H., Trahms, L., & Poeppel, D. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.022 · Cited by 32 · see citing works
Processing Capacity in Children and Adolescents with Pervasive Developmental Disorders
Hoeksma, M. R., Kemner, C., Verbaten, M. N., & van Engeland, H. (2004) · Journal of Autism and Developmental Disorders · doi:10.1023/b:jadd.0000029555.98493.36 · Cited by 30 · see citing works
Stuart, G. W., McAnally, K. I., & Castles, A. E. (2001) · Australian Journal of Psychology · Cited by 7 · see citing works
Flagged first, then by citations
1 of the 68 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Robertson, C. E., & Baron-Cohen, S. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.112 · Cited by 1,157 · see citing works
Developmental pathways to autism: A review of prospective studies of infants at risk
Jones, E. J. H., Gliga, T., Bedford, R., Charman, T., & Johnson, M. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.12.001 · Cited by 607 · see citing works
The Relationship between Sensory Sensitivity and Autistic Traits in the General Population
Robertson, A., & Simmons, D. (2012) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1608-7 · Cited by 464 · see citing works
Baum, S. H., Stevenson, R. A., & Wallace, M. T. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.09.007 · Cited by 370 · see citing works
Unreliable evoked responses in autism
Dinstein, I., Heeger, D. J., Lorenzi, L., Minshew, N. J., Malach, R., & Behrmann, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.026 · Cited by 318 · see citing works
Wallace, M. T., & Stevenson, R. A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.08.005 · Cited by 315 · see citing works
The Sensory Experiences of Adults with Autism Spectrum Disorder: A Qualitative Analysis
Robertson, A., & Simmons, D. R. (2015) · Perception · doi:10.1068/p7833 · Cited by 304 · see citing works
Karalunas, S. L., Geurts, H. M., Konrad, K., Bender, S., & Nigg, J. T. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12217 · Cited by 278 · see citing works
Neural variability: friend or foe?
Dinstein, I., Heeger, D. J., & Behrmann, M. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.04.005 · Cited by 254 · see citing works
Impaired tactile processing in children with autism spectrum disorder
Puts, N. A. J., Wodka, E. L., Tommerdahl, M., Mostofsky, S. H., & Edden, R. A. E. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00890.2013 · Cited by 248 · see citing works
Brain adaptation and alternative developmental trajectories
Johnson, M. H., Jones, E. J. H., & Gliga, T. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000073 · Cited by 213 · see citing works
Sinclair, D., Oranje, B., Razak, K. A., Siegel, S. J., & Schmid, S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.029 · Cited by 198 · see citing works
“Increased variability of P1 amplitude and latency between trials may also occur in individuals with ASD (Milne, 2011).”
Duffy, F. H., & Als, H. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-64 · Cited by 208 · see citing works
From early markers to neuro-developmental mechanisms of autism
Gliga, T., Jones, E. J. H., Bedford, R., Charman, T., & Johnson, M. H. (2014) · Developmental Review · doi:10.1016/j.dr.2014.05.003 · Cited by 150 · see citing works
Ostlund, B. D., Alperin, B. R., Drew, T. W., & Karalunas, S. L. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100931 · Cited by 159 · see citing works
Idiosyncratic Brain Activation Patterns Are Associated with Poor Social Comprehension in Autism
Byrge, L. A., Dubois, J., Tyszka, J. M., Adolphs, R., & Kennedy, D. P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5182-14.2015 · Cited by 153 · see citing works
Atypical intrinsic neural timescale in autism
Watanabe, T., Rees, G., & Masuda, N. (2019) · eLife · doi:10.7554/elife.42256 · Cited by 150 · see citing works
Schauder, K. B., & Bennetto, L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00268 · Cited by 136 · see citing works
Ouyang, G., Hildebrandt, A., Sommer, W., & Zhou, C. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.023 · Cited by 132 · see citing works
Cortical variability in the sensory-evoked response in autism
Haigh, S. M., Heeger, D. J., Dinstein, I., Minshew, N., & Behrmann, M. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2276-6 · Cited by 113 · see citing works
Global motion perception deficits in autism are reflected as early as primary visual cortex
Robertson, C. E., Thomas, C., Kravitz, D. J., Wallace, G. L., Baron-Cohen, S., Martin, A., & Baker, C. I. (2014) · Brain · doi:10.1093/brain/awu189 · Cited by 122 · see citing works
Dysfunction of sensory oscillations in Autism Spectrum Disorder
Simon, D. M., & Wallace, M. T. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.016 · Cited by 122 · see citing works
Individuals with autism spectrum disorder have altered visual encoding capacity
Noel, J., Zhang, L.-Q., Stocker, A. A., & Angelaki, D. E. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001215 · Cited by 116 · see citing works
Falahpour, M., Thompson, W. K., Abbott, A. E., Jahedi, A., Mulvey, M. E., Datko, M., Liu, T. T., & Müller, R.-A. (2016) · Brain Connectivity · doi:10.1089/brain.2015.0389 · Cited by 106 · see citing works
What is the Link Between Mental Imagery and Sensory Sensitivity? Insights from Aphantasia
Dance, C., Ward, J., & Simner, J. (2021) · Perception · doi:10.1177/03010066211042186 · Cited by 103 · see citing works
Webb, S. J., Bernier, R., Henderson, H. A., Johnson, M. H., Jones, E. J. H., Lerner, M. D., McPartland, J. C., Nelson, C. A., Rojas, D. C., Townsend, J., et al. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1916-6 · Cited by 103 · see citing works
A Review of Embodiment in Autism Spectrum Disorders
Eigsti, I.-M. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00224 · Cited by 117 · see citing works
He, C., Chen, Y., Jian, T., Chen, H., Guo, X., Wang, J., Wu, L., Chen, H., & Duan, X. (2018) · Autism Research · doi:10.1002/aur.2020 · Cited by 102 · see citing works
Low endogenous neural noise in autism
Davis, G., & Plaisted-Grant, K. (2015) · Autism · doi:10.1177/1362361314552198 · Cited by 99 · see citing works
Lau‐Zhu, A., Fritz, A., & McLoughlin, G. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.10.009 · Cited by 100 · see citing works
Visual Perception in Autism Spectrum Disorder: A Review of Neuroimaging Studies
Chung, S., & Son, J.-W. (2020) · Journal of korean Academy of Child and Adolescent Psychiatry · doi:10.5765/jkacap.200018 · Cited by 106 · see citing works
Global Motion Perception in Autism Spectrum Disorder: A Meta-Analysis
der Hallen, R. V., Manning, C., Evers, K., & Wagemans, J. P. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04194-8 · Cited by 89 · see citing works
Chevalier, P., Kompatsiari, K., Ciardo, F., & Wykowska, A. (2019) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01689-4 · Cited by 91 · see citing works
Altered tactile processing in children with autism spectrum disorder
Tavassoli, T., Bellesheim, K., Tommerdahl, M., Holden, J. M., Kolevzon, A., & Buxbaum, J. D. (2016) · Autism Research · doi:10.1002/aur.1563 · Cited by 88 · see citing works
Children with autism spectrum disorder have unstable neural responses to sound
Otto‐Meyer, S., Krizman, J., White‐Schwoch, T., & Kraus, N. (2018) · Experimental Brain Research · doi:10.1007/s00221-017-5164-4 · Cited by 88 · see citing works
Murphy, J. W., Foxe, J. J., Peters, J. B., & Molholm, S. (2014) · Autism Research · doi:10.1002/aur.1374 · Cited by 83 · see citing works
Neural Hyperexcitability in Autism Spectrum Disorders
Takarae, Y., & Sweeney, J. (2017) · Brain Sciences · doi:10.3390/brainsci7100129 · Cited by 82 · see citing works
Multisensory speech perception in autism spectrum disorder: From phoneme to whole‐word perception
Stevenson, R. A., Baum, S. H., Segers, M., Ferber, S., Barense, M. D., & Wallace, M. T. (2017) · Autism Research · doi:10.1002/aur.1776 · Cited by 82 · see citing works
Increased cortical reactivity to repeated tones at 8 months in infants with later ASD
Kolesnik, A., Begum Ali, J., Gliga, T., Guiraud, J., Charman, T., Johnson, M. H., Jones, E. J. H., & The BASIS Team (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0393-x · Cited by 75 · see citing works
Park, W. J., Schauder, K. B., Zhang, R., Bennetto, L., & Tadin, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-17676-5 · Cited by 74 · see citing works
Normal binocular rivalry in autism: Implications for the excitation/inhibition imbalance hypothesis
Said, C. P., Egan, R. D., Minshew, N. J., Behrmann, M., & Heeger, D. J. (2012) · Vision Research · doi:10.1016/j.visres.2012.11.002 · Cited by 73 · see citing works
An Examination of the Neural Unreliability Thesis of Autism
Butler, J. S., Molholm, S., Andrade, G. N., & Foxe, J. J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw375 · Cited by 72 · see citing works
Single-Trial Analyses: Why Bother?
Pernet, C. R., Sajda, P., & Rousselet, G. A. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00322 · Cited by 70 · see citing works
Increased ongoing neural variability in ADHD
Gonen-Yaacovi, G., Arazi, A., Shahar, N., Karmon-Presser, A., Haar, S., Meiran, N., & Dinstein, I. (2016) · Cortex · doi:10.1016/j.cortex.2016.04.010 · Cited by 68 · see citing works
Reduced visual evoked potential amplitude in autism spectrum disorder, a variability effect?
Kovarski, K., Malvy, J., Khanna, R. K., Arsène, S., Batty, M., & Latinus, M. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0672-6 · Cited by 65 · see citing works
Low-contrast response deficits and increased neural noise in children with autism spectrum disorder
Weinger, P. M., Zemon, V. M., Soorya, L. V., & Gordon, J. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.031 · Cited by 65 · see citing works
Arazi, A., Gonen-Yaacovi, G., & Dinstein, I. (2017) · eNeuro · doi:10.1523/eneuro.0292-17.2017 · Cited by 62 · see citing works
Variability of cortical oscillation patterns: A possible endophenotype in autism spectrum disorders?
David, N., Schneider, T. R., Peiker, I., Al‐Jawahiri, R., Engel, A. K., & Milne, E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.031 · Cited by 63 · see citing works
Mamashli, F., Khan, S., Bharadwaj, H., Michmizos, K. P., Ganesan, S., Garel, K.-L. A., Hashmi, J. A., Herbert, M. R., Hämäläinen, M., & Kenet, T. (2016) · Autism Research · doi:10.1002/aur.1714 · Cited by 61 · see citing works
Variable sensory perception in autism
Haigh, S. M. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13601 · Cited by 61 · see citing works
Kamarajan, C., Pandey, A. K., Chorlian, D. B., & Bernice Porjesz, A. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.10.013 · Cited by 56 · see citing works
Diagnosis Autism by Fisher Linear Discriminant Analysis FLDA via EEG
Alhaddad, M. J., Kamel, M. I., Malibary, H. M., Alsaggaf, E., Thabit, K., Dahlwi, F., & Hadi, A. A. (2012) · Bio-Science and Bio-Technology · Cited by 57 · see citing works
Marked selective impairment in autism on an index of magnocellular function
Greenaway, R., Davis, G. J., & Plaisted-Grant, K. C. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.01.005 · Cited by 55 · see citing works
Kanner, A. M., Scharfman, H. E., Jetté, N., Anagnostou, E. A., Bernard, C., Camfield, C., CAMFIELD, P. R., Legg, K. T., Dinstein, I., Giacobbe, P., et al. (2017) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2017.09.014 · Cited by 53 · see citing works
Quantitative Sensory Testing in adults with Autism Spectrum Disorders
Fründt, O., Grashorn, W., Schöttle, D., Peiker, I., David, N., Engel, A. K., Forkmann, K., Wrobel, N., Münchau, A. M., & Bingel, U. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3041-4 · Cited by 53 · see citing works
A developmental neuroscience approach to the search for biomarkers in autism spectrum disorder
Varcin, K. J., & Nelson, C. A. (2016) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000298 · Cited by 50 · see citing works
Interhemispheric alpha-band hypoconnectivity in children with autism spectrum disorder
Dickinson, A. H., DiStefano, C., Lin, Y.-Y., Scheffler, A. W., Şentürk, D., & Jeste, S. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.04.026 · Cited by 48 · see citing works
Increased variability but intact integration during visual navigation in Autism Spectrum Disorder
Noel, J., Lakshminarasimhan, K. J., Park, H., & Angelaki, D. E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2000216117 · Cited by 41 · see citing works
Liang, B., & Lin, Y. (2018) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.05.024 · Cited by 44 · see citing works
Wolff, A., & Northoff, G. (2024) · Molecular Psychiatry · doi:10.1038/s41380-023-02337-z · Cited by 41 · see citing works
Inhibition-Based Biomarkers for Autism Spectrum Disorder
Levin, A. R., & Nelson, C. A. (2015) · Neurotherapeutics · doi:10.1007/s13311-015-0350-1 · Cited by 39 · see citing works
London, E. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01120 · Cited by 39 · see citing works
Developmental trajectory of social influence integration into perceptual decisions in children
Large, I., Pellicano, E., Mojzisch, A., & Krug, K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808153116 · Cited by 37 · see citing works
Magnuson, J. R., Iarocci, G., Doesburg, S. M., & Moreno, S. (2019) · Autism Research · doi:10.1002/aur.2210 · Cited by 39 · see citing works
Yu, L., Wang, S., Huang, D., Wu, X., & Zhang, Y. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.04.599 · Cited by 37 · see citing works
Bazelmans, T., Jones, E. J. H., Ghods, S. S., Corrigan, S., Toth, K., Charman, T., & Webb, S. J. (2018) · Autism Research · doi:10.1002/aur.1982 · Cited by 36 · see citing works
The BOLD signal and neurovascular coupling in autism
Reynell, C., & Harris, J. J. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.07.003 · Cited by 36 · see citing works
Voice acoustics allow classifying autism spectrum disorder with high accuracy
Briend, F., David, C., Silleresi, S., Malvy, J., Ferré, S., & Latinus, M. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02554-8 · Cited by 34 · see citing works
Over‐Responsiveness and Greater Variability in Roughness Perception in Autism
Haigh, S. M., Minshew, N. J., Heeger, D. J., Dinstein, I., & Behrmann, M. (2015) · Autism Research · doi:10.1002/aur.1505 · Cited by 34 · see citing works
Haigh, S. M., Gupta, A., Barb, S. M., Glass, S. A. F., Minshew, N. J., Dinstein, I., Heeger, D. J., Eack, S. M., & Behrmann, M. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.03.036 · Cited by 34 · see citing works
Heeger, D. J., Behrmann, M., & Dinstein, I. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.09.019 · Cited by 32 · see citing works
Marsicano, G., Bertini, C., & Ronconi, L. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105795 · Cited by 31 · see citing works
Noel, J., Serino, A., & Wallace, M. T. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01334 · Cited by 30 · see citing works
Internal noise estimates correlate with autistic traits
Vilidaitė, G., Yu, M., & Baker, D. H. (2017) · Autism Research · doi:10.1002/aur.1781 · Cited by 29 · see citing works
Oro, A. B., Briseño, J. V., Cuello‐García, C. A., Sepúlveda, R. F. C., Villalobos, A. M. H., & Sánchez, C. (2011) · Neurología · doi:10.1016/j.nrl.2011.09.011 · Cited by 28 · see citing works
Atypical Sound Perception in ASD Explained by Inter-Trial (In)consistency in EEG
Latinus, M., Mofid, Y., Kovarski, K., Charpentier, J., Batty, M., & Bonnet‐Brilhault, F. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01177 · Cited by 28 · see citing works
Smiling as negative feedback affects social decision-making and its neural underpinnings
Weiss, M. H., Mussel, P., & Hewig, J. S. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00759-3 · Cited by 27 · see citing works
Beker, S., Foxe, J. J., Venticinque, J., Bates, J. C., Ridgeway, E. M., Schaaf, R. C., & Molholm, S. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09383-0 · Cited by 26 · see citing works
Anguera, J. A., Brandes-Aitken, A. N., Rolle, C. E., Skinner, S. N., Desai, S. S., Bower, J. D., Martucci, W. E., Chung, W. K., Sherr, E. H., & Marco, E. J. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.178 · Cited by 27 · see citing works
Atypical EEG in autism spectrum disorder: Comparing a dimensional and a categorical approach.
Milne, E., Gomez, R., Giannadou, A., & Jones, M. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000436 · Cited by 28 · see citing works
Functional Assays of Local Connectivity in the Somatosensory Cortex of Individuals with Autism
Coskun, M. A., Loveland, K. A., Pearson, D. A., Papanicolaou, A. C., & Sheth, B. R. (2013) · Autism Research · doi:10.1002/aur.1276 · Cited by 24 · see citing works
Neural Correlates of Explicit Versus Implicit Facial Emotion Processing in ASD
Luckhardt, C., Kröger, A., Cholemkery, H., Bender, S., & Freitag, C. M. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3141-1 · Cited by 24 · see citing works
How the Visual Cortex Handles Stimulus Noise: Insights from Amblyopia
Bankó, É. M., Körtvélyes, J., Weiss, B., & Vidnyánszky, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066583 · Cited by 23 · see citing works
Chevalier, P., Li, J. J., Ainger, E., Alcorn, A. M., Dimitrijević, S. B., Charisi, V., Petrović, S., Schadenberg, B. R., Pellicano, E., & Evers, V. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70022-9_54 · Cited by 23 · see citing works
Face processing in autism spectrum disorder re-evaluated through diffusion models.
Powell, G., Jones, C. R. G., Hedge, C., Charman, T., Happe, F. G. E., Simonoff, E. A., & Sumner, P. (2019) · Neuropsychology · doi:10.1037/neu0000524 · Cited by 22 · see citing works
Epigenetic tuning of brain signal entropy in emergent human social behavior
Puglia, M. H., Krol, K. M., Missana, M., Williams, C. L., Lillard, T. S., Morris, J. P., Connelly, J. J., & Großmann, T. (2020) · BMC Medicine · doi:10.1186/s12916-020-01683-x · Cited by 20 · see citing works
Wang, L., Ong, J. H., Ponsot, E., Hou, Q., Jiang, C., & Liu, F. (2022) · Autism · doi:10.1177/13623613221111207 · Cited by 19 · see citing works
Kang, K., Orlandi, S., Leung, J., Akter, M., Lorenzen, N., Chau, T. T., & Thaut, M. H. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16036 · Cited by 18 · see citing works
Bhaskaran, A. A., Gauvrit, T., Vyas, Y., Bony, G., Ginger, M. R., & Frick, A. (2023) · Nature Communications · doi:10.1038/s41467-023-43777-z · Cited by 21 · see citing works
van Noordt, S. J. R., Wu, J., Venkataraman, A., Larson, M. J., South, M., & Crowley, M. J. (2017) · Research in Autism · doi:10.1016/j.rasd.2017.01.011 · Cited by 19 · see citing works
Trenado, C., González-Ramírez, A., Lizárraga-Cortés, V., Pedroarena‐Leal, N., Manjarrez, E., & Ruge, D. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00850 · Cited by 20 · see citing works
Tenev, A., Markovska-Simoska, S., Müller, A. F., & Mishkovski, I. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1505297 · Cited by 18 · see citing works
Neural Correlates of Sensory Abnormalities Across Developmental Disabilities
Cardon, G. J. (2018) · International review of research in developmental disabilities · doi:10.1016/bs.irrdd.2018.08.001 · Cited by 18 · see citing works
Hyper-Sensitivity to Pitch and Poorer Prosody Processing in Adults With Autism: An ERP Study
Haigh, S. M., Brosseau, P., Eack, S. M., Leitman, D. I., Salisbury, D. F., & Behrmann, M. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.844830 · Cited by 19 · see citing works
Kolodny, T., Schallmo, M., Gerdts, J. A., Bernier, R., & Murray, S. O. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2376-19.2020 · Cited by 17 · see citing works
Facilitation of biological motion processing by group‐based autism specific social skills training
Luckhardt, C., Kröger, A., Elsuni, L., Cholemkery, H., Bender, S., & Freitag, C. M. (2018) · Autism Research · doi:10.1002/aur.2013 · Cited by 17 · see citing works
Individual differences in internal noise are consistent across two measurement techniques
Vilidaitė, G., & Baker, D. H. (2016) · Vision Research · doi:10.1016/j.visres.2016.10.008 · Cited by 17 · see citing works
Poor synchronization yet adequate tempo‐keeping in adults with autism
Kasten, K., Jacoby, N., & Ahissar, M. (2023) · Autism Research · doi:10.1002/aur.2926 · Cited by 16 · see citing works
Morett, L. M., Landi, N., IRWIN, J. R., & McPartland, J. C. (2020) · Brain Research · doi:10.1016/j.brainres.2020.147059 · Cited by 15 · see citing works
Hecker, L., Wilson, M., van Elst, L. T., & Kornmeier, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-17304-x · Cited by 13 · see citing works
- Authors
- Milne, E.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Milne, Elizabeth
- ORCID
- Milne, Elizabeth
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 2
- Pages
- 51-51
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC3110871
- OpenAlex
- W2031410002
- Cited by
- 217
- References
- 68
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 17 · 2020: 13 · 2019: 19 · 2018: 16 · 2017: 16 · 2016: 16 · 2015: 14 · 2014: 14 · 2013: 7 · 2012: 7
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- autism spectrum disorder, trial-to-trial variability, single-trial EEG, P1 component, neuronal synchronization, neural noise, volume conduction
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