The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
White Matter Microstructure and Atypical Visual Orienting in 7-Month-Olds at Risk for Autism
Open accessAbstract
OBJECTIVE The authors sought to determine whether specific patterns of oculomotor functioning and visual orienting characterize 7-month-old infants who later meet criteria for an autism spectrum disorder (ASD) and to identify the neural correlates of these behaviors. METHOD Data were collected from 97 infants, of whom 16 were high-familial-risk infants later classified as having an ASD, 40 were high-familial-risk infants who did not later meet ASD criteria (high-risk negative), and 41 were low-risk infants. All infants underwent an eye-tracking task at a mean age of 7 months and a clinical assessment at a mean age of 25 months. Diffusion-weighted imaging data were acquired for 84 of the infants at 7 months. Primary outcome measures included average saccadic reaction time in a visually guided saccade procedure and radial diffusivity (an index of white matter organization) in fiber tracts that included corticospinal pathways and the splenium and genu of the corpus callosum. RESULTS Visual orienting latencies were longer in 7-month-old infants who expressed ASD symptoms at 25 months compared with both high-risk negative infants and low-risk infants. Visual orienting latencies were uniquely associated with the microstructural organization of the splenium of the corpus callosum in low-risk infants, but this association was not apparent in infants later classified as having an ASD. CONCLUSIONS Flexibly and efficiently orienting to salient information in the environment is critical for subsequent cognitive and social-cognitive development. Atypical visual orienting may represent an early prodromal feature of an ASD, and abnormal functional specialization of posterior cortical circuits directly informs a novel model of ASD pathogenesis.
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“Our findings are consistent with reports of subtle motor differences at 6–7 months with respect to head control [13], lower activity level [52], and saccadic reaction times [9] among infants who go on to develop ASD.”
From Behavioral, cognitive, and adaptive development in infants with autism spectrum disorder in the first 2 years of life (2015) · cites this paper as [9]
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Cites
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065 · cited 2×
“Clinical diagnosis was corroborated in the proband of high-risk infants with the Autism Diagnostic Interview–Revised (18).”
BackgroundNeural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · cited 1×
“selective attention has been comprehensively delineated in adults (6-10) and selective attention’s role in”
BackgroundThe attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070 · cited 1×
“selective attention has been comprehensively delineated in adults (6-10) and selective attention’s role in”
BackgroundLord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520 · cited 6×
“A total of 97 infants completed the experimental task and were categorized into three groups based on risk status and ASD classification on the ADOS: low-risk infants (N=41), high-risk infants who did not meet ASD criteria on the ADOS (high-risk-negative group, N=40), and high-risk infants who met ADOS criteria for an…”
MethodInfluentialNonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265 · cited 1×
“First, linear affine registration of baseline images was applied to the structurally weighted T2 atlas using B-spline registration and normalized mutual information (24).”
MethodThe reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889 · cited 2×
“This tract may function in part as transitional connectivity between extrastriate visual areas and the dorsal frontoparietal and ventral frontoparietal orienting networks identified in adults (10).”
BackgroundDysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · cited 1×
“We initially chose to focus on radial diffusivity because there have been reports linking this metric to myelination (30), and the relative myelin content is thought to support rapid and efficient signal transmission (31) and therefore efficient information processing.”
BackgroundMullen Scales of Early Learning
Bradley‐Johnson, S. (1997) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199710)34:4 · Cited by 2,329
Effects of parietal injury on covert orienting of attention
Posner, M., Walker, J., Friedrich, F., & Rafal, R. (1984) · The Journal of Neuroscience · doi:10.1523/jneurosci.04-07-01863.1984 · Cited by 2,191 · cited 1×
“Overlap latencies are consistently longer than gap latencies, likely resulting from 1) additional processing demands supported by the lateral intraparietal area (16, 21, 22) and 2) the absence of the fixation offset priming effects.”
BackgroundHow brains beware: neural mechanisms of emotional attention
Vuilleumier, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.10.011 · Cited by 2,162 · cited 1×
“Although the neural circuitry of selective attention has been comprehensively delineated in adults (6– 10) and selective attention’s role in social cognition continues to be elucidated (10, 11), the precise circuitry that underlies selective visual attention during infancy is unknown.”
BackgroundThe updating of the representation of visual space in parietal cortex by intended eye movements
Duhamel, J.-R., Colby, C. L., & Goldberg, M. E. (1992) · Science · doi:10.1126/science.1553535 · Cited by 1,966 · cited 1×
“The splenium is the most posterior sector of the corpus callosum and projects to striate and extrastriate visual areas and to portions of the posterior parietal cortex, including Brodmann’s area 7 (14), a cortical target implicated in sensorimotor programming (15).”
BackgroundThe activation of attentional networks
FAN, J., MCCANDLISS, B., FOSSELLA, J., FLOMBAUM, J., & POSNER, M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.004 · Cited by 1,737 · cited 1×
“selective attention has been comprehensively delineated in adults (6-10) and selective attention’s role in”
BackgroundBehavioral manifestations of autism in the first year of life
Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., & Szatmari, P. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.05.001 · Cited by 1,602 · cited 1×
“Another study (2) reported that visual orienting latencies measured in a high-risk cohort at 12 months (N=27) correlated with autism symptom severity at 24 months.”
BackgroundSelf-citationAutism 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 · cited 1×
“Low-risk infants were excluded if they had a family history of a first- or seconddegree relative with autism or if the low-risk proband (older sibling) showed symptoms of ASD on the Social Communication Questionnaire (17).”
BackgroundEarly behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder
Dawson, G. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000370 · Cited by 1,138 · cited 1×
“Identifying infants at highest risk for ASD before the consolidation of syndromic features offers the possibility of implementing behavioral and other interventions during infancy that could reduce or prevent the manifestation of the full syndrome (40).”
BackgroundMRI Atlas of Human White Matter
Mori, S. (2005) · Cited by 1,103
MRI atlas of human white matter
Ling, C. L., & Rumpel, H. (2006) · Concepts in Magnetic Resonance Part A · doi:10.1002/cmr.a.20052 · Cited by 1,021
A Prospective Study of the Emergence of Early Behavioral Signs of Autism
Ozonoff, S., Iosif, A.-M., Baguio, F., Cook, I. C., Hill, M. M., Hutman, T., Rogers, S. J., Rozga, A., Sangha, S., Sigman, M., et al. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2009.11.009 · Cited by 1,011 · cited 1×
“This study was primarily concerned with domain-general response patterns, as there is evidence to suggest that 6-month-old infants who later develop ASD exhibit patterns of “gaze to faces” and “gaze to objects” similar to those of 6-month-olds who do not develop ASD (4).”
ResultCorbetta, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.831 · Cited by 995 · cited 2×
“With regard to oculomotor efficiency, or performance in the gap condition, the difference between low-risk and high-risk-ASD infants was quite large and statistically significant, which suggests a marked deficit in the saccade-generating circuit (16, 22).”
BackgroundTwo-year-olds with autism orient to non-social contingencies rather than biological motion
Klin, A., Lin, D. J., Gorrindo, P., Ramsay, G., & Jones, W. (2009) · Nature · doi:10.1038/nature07868 · Cited by 921 · cited 1×
“Developmental models of autism spectrum disorders (ASDs) suggest that atypical or biased visual attention patterns in the first year of life could directly contribute to the emergence of the characteristic social-cognitive deficits (1).”
BackgroundAbout “axial” and “radial” diffusivities
Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885
Unbiased diffeomorphic atlas construction for computational anatomy
Joshi, S. C., Davis, B. C., Jomier, M., & Gerig, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.068 · Cited by 881 · cited 1×
“Second, a large deformation diffeomorphic metric mapping transformation was applied for unbiased, deformable atlas building (25).”
MethodSelf-citationWolff, J. J., Gu, H., Gerig, G., Elison, J. T., Styner, M., Gouttard, S., Botteron, K. N., Dager, S. R., Dawson, G., Estes, A. M., et al. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11091447 · Cited by 671 · cited 1×
“The present behavioral findings not only complement and extend recent data suggesting early functional and structural brain abnormalities in infants who go on to develop ASD (41, 42), they also have the potential to enhance early identification of individuals with ASD and to inform targeted interventions developed for…”
ResultSelf-citationMullen Scales of Early Learning: Ags Edition
Dumont, R., & Willis, J. O. (2008) · Encyclopedia of Special Education · doi:10.1002/9780470373699.speced1402 · Cited by 667 · cited 4×
“Results The sex ratio did not differ significantly across the three groups of children, and the groups did not differ statistically in age at the initial 6-month visit, age at the 24-month clinical visit, nonverbal developmental quotient as measured by the Mullen Scales of Early Learning at the 6-month visit, or stand…”
MethodInfluentialControl of local protein synthesis and initial events in myelination by action potentials
Wake, H., Lee, P. R., & Fields, R. D. (2011) · Science · doi:10.1126/science.1206998 · Cited by 636 · cited 1×
“We initially chose to focus on radial diffusivity because there have been reports linking this metric to myelination (30), and the relative myelin content is thought to support rapid and efficient signal transmission (31) and therefore efficient information processing.”
BackgroundSpatial transformations of diffusion tensor magnetic resonance images
Alexander, D. C., Pierpaoli, C., Basser, P. J., & Gee, J. C. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.963816 · Cited by 610 · cited 1×
“Tensor maps were calculated from each data set using weighted least squares estimation (26) and were transformed into the atlas space with tensor reorientation by a finite strain approach (27).”
MethodLanda, R. J., Holman, K. C., & Garrett-Mayer, E. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.7.853 · Cited by 590 · cited 1×
“Indeed, many of the early behavioral markers associated with later emerging ASD, specifically orienting to name, responding to bids for joint attention, spontaneous gaze to faces, and making eye contact (2-4), implicate behaviors associated with flexibly allocating attentional resources to salient or biologically rele…”
BackgroundAxon overproduction and elimination in the corpus callosum of the developing rhesus monkey
LaMantia, A., & RAKIC, P. T. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-07-02156.1990 · Cited by 511 · cited 1×
“The internal capsule and the corticospinal tracts myelinate earlier than cortical and commissural tracts (34), and the splenium undergoes more postnatal axonal elimination than any other sector of the corpus callosum (35), a process that likely extends into the sixth or seventh postnatal month in human infants.”
BackgroundTuning the developing brain to social signals of emotions
Leppänen, J. M., & Nelson, C. A. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2554 · Cited by 457 · cited 1×
“Characterizing the neural correlates of visual attention during infancy may inform our understanding of cortical specialization, as experience with specific categories of information may sculpt neural circuits and enhance processing efficiency (12).”
BackgroundInfant neural sensitivity to dynamic eye gaze is associated with later emerging autism
Elsabbagh, M., Mercure, E., Hudry, K., Chandler, S., Pasco, G., Charman, T., Pickles, A., Baron-Cohen, S., Bolton, P., & Johnson, M. H. (2012) · Current Biology · doi:10.1016/j.cub.2011.12.056 · Cited by 429
Deoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.037 · Cited by 390 · cited 2×
“Future research using targeted imaging pulse sequences (34) has the potential to elucidate specific neuroanatomical mechanisms that underlie information processing during infancy.”
BackgroundRiemannian geometry for the statistical analysis of diffusion tensor data
Fletcher, P. T., & Joshi, S. C. (2006) · Signal Processing · doi:10.1016/j.sigpro.2005.12.018 · Cited by 322 · cited 1×
“Diffusion tensor images were transformed and averaged using the Riemannian and log-Euclidean frameworks (28), resulting in the final three-dimensional average tensor atlas.”
MethodA neural correlate for the gap effect on saccadic reaction times in monkey
Dorris, M. C., & Munoz, D. P. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.73.6.2558 · Cited by 321 · cited 4×
“With regard to oculomotor efficiency, or performance in the gap condition, the difference between low-risk and high-risk-ASD infants was quite large and statistically significant, which suggests a marked deficit in the saccade-generating circuit (16, 22).”
BackgroundInfluentialVisual orienting in the early broader autism phenotype: disengagement and facilitation
Elsabbagh, M., Volein, A., Holmboe, K., Tucker, L., Csibra, G., Baron‐Cohen, S., Bolton, P., Charman, T., Baird, G., & Johnson, M. H. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.02051.x · Cited by 279 · cited 1×
“In one study (13), 9- to 10month-old infants at high familial risk for developing autism (N=16) were reported to have longer visual orienting latencies compared with typically developing low-risk infants.”
BackgroundIs diffusion anisotropy an accurate monitor of myelination?
Mädler, B., Drabycz, S. A., Kolind, S. H., Whittall, K. P., & MacKay, A. L. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.047 · Cited by 227 · cited 1×
“However, there is evidence to suggest that the density and diameter of axons in a given fiber tract, in addition to myelin content, affect the diffusion of water molecules perpendicular to the primary eigenvector of a fiber tract (32).”
BackgroundTraining Attentional Control in Infancy
Wass, S. V., Porayska‐Pomsta, K., & Johnson, M. H. (2011) · Current Biology · doi:10.1016/j.cub.2011.08.004 · Cited by 216
Group analysis of DTI fiber tract statistics with application to neurodevelopment
Goodlett, C., Fletcher, P. T., Gilmore, J. H., & Gerig, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.060 · Cited by 187 · cited 1×
“Image registration proceeded in two steps (23).”
Self-citationThe Developmental Course of Habituation in Infancy and Preschool Outcome
Colombo, J., Shaddy, D. J., Richman, W. A., Maikranz, J. M., & Blaga, O. M. (2004) · Infancy · doi:10.1207/s15327078in0501_1 · Cited by 174 · cited 1×
“Previous research has shown that visual orienting latencies are related to encoding speed in 4-month-olds (37), which subsequently predicts cognitive outcomes in preschool-age children (38).”
BackgroundFormal characterization and extension of the linearized diffusion tensor model
Salvador, R. M., Peña, A., Menon, D. K., Carpenter, T. A., Pickard, J. D., & Bullmore, E. T. (2004) · Human Brain Mapping · doi:10.1002/hbm.20076 · Cited by 171 · cited 1×
“Tensor maps were calculated from each data set using weighted least squares estimation (26) and were transformed into the atlas space with tensor reorientation by a finite strain approach (27).”
MethodIndividual and Developmental Differences in Disengagement of Fixation in Early Infancy
Frick, J. E., Colombo, J. A., & Saxon, T. F. (1999) · Child Development · doi:10.1111/1467-8624.00039 · Cited by 158 · cited 1×
“Previous research has shown that visual orienting latencies are related to encoding speed in 4-month-olds (37), which subsequently predicts cognitive outcomes in preschool-age children (38).”
BackgroundNiogi (2010) · Frontiers in Neuroanatomy · doi:10.3389/neuro.05.002.2010 · Cited by 142 · cited 3×
“This pattern is consistent with studies examining DTI-related associations with attentional operations in adults (9), as well as behavioral evidence from a rare infant hemispherectomy patient (33).”
BackgroundResultPossible blindsight in infants lacking one cerebral hemisphere
Braddick, O., Atkinson, J., Hood, B. M., Harkness, W. F. J., Jackson, G. D., & Vargha‐Khadem, F. (1992) · Nature · doi:10.1038/360461a0 · Cited by 122 · cited 1×
“This pattern is consistent with studies examining DTI-related associations with attentional operations in adults (9), as well as behavioral evidence from a rare infant hemispherectomy patient (33).”
ResultPutnam, M. C., Steven, M. S., Doron, K. W., Riggall, A. C., & Gazzaniga, M. S. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21290 · Cited by 122 · cited 1×
“The splenium is the most posterior sector of the corpus callosum and projects to striate and extrastriate visual areas and to portions of the posterior parietal cortex, including Brodmann’s area 7 (14), a cortical target implicated in sensorimotor programming (15).”
BackgroundNeurobehavioral Abnormalities in First-Degree Relatives of Individuals With Autism
Mosconi, M. W., Kay, M., D’Cruz, A.-M., Guter, S., Kapur, K., Macmillan, C., Stanford, L. D., & Sweeney, J. A. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.87 · Cited by 84 · cited 1×
“074), this pattern of results suggests that abnormal oculomotor functioning may be a familial marker of ASD (39).”
BackgroundAttention and Psychological Change in the Young Child
Kagan, J. (1970) · Science · doi:10.1126/science.170.3960.826 · Cited by 83 · cited 1×
“It has long been recognized that selective attention shapes the development of adaptive cognitive function (5).”
BackgroundCortical development and saccade planning
Csibra, G., Tucker, L. A., Volein, Á., & Johnson, M. H. (2000) · Neuroreport · doi:10.1097/00001756-200004070-00033 · Cited by 34
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- Ozonoff S, 2010, J Am Acad Child Adolesc Psychiatry, 49, 256
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Lai, M.-C., Lombardo, M. V., & Baron-Cohen, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61539-1 · Cited by 2,371
Early brain development in infants at high risk for autism spectrum disorder
The IBIS Network, Hazlett, H. C., Gu, H., Munsell, B. C., Kim, S. H., Styner, M., Wolff, J. J., Elison, J. T., Swanson, M. R., Zhu, H., et al. (2017) · Nature · doi:10.1038/nature21369 · Cited by 1,128
“…to processing sensory information (e.g., left middle occipital cortex), consistent with regions previously reported to show the earliest increase in SA growth rate in typically developing infants 12 , and with reports showing early sensory differences in infants who will later develop ASD 13,14 .”
Self-citationThe Changing Epidemiology of Autism Spectrum Disorders
Lyall, K., Croen, L., Daniels, J., Fallin, M. D., Ladd-Acosta, C., Lee, B. K., Park, B. Y., Snyder, N. W., Schendel, D., Volk, H., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044318 · Cited by 1,011
“Recently launched longitudinal imaging studies, as well as work examining white matter integrity in specific brain structures, may help to clarify neuroanatomic features influencing behaviors in ASD (56).”
BackgroundPrecise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885
“Atypical attention happens to be among the earliest signs of ASD, described in terms of the flexible and appropriate assignment of salience to stimuli (Elison et al., 2013; Zwaigenbaum et al., 2005).”
BackgroundThe Cerebellum, Sensitive Periods, and Autism
Wang, S. S. ‐., Kloth, A. D., & Badura, A. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.016 · Cited by 866
“Visual orienting latencies to nonsocial stimuli are atypically slow in 7 month olds who later meet ASD criteria (Elison et al., 2013).”
Background
Metadata
- Authors
- Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., Gerig, G., Hazlett, H. C., Schultz, R. T., Styner, M., Zwaigenbaum, L., Piven, J., & for the IBIS Network
- Affiliations
- University of North Carolina at Chapel Hill (US)
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2013-08
- Volume
- 170
- Issue
- 8
- Pages
- 899-908
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC3863364
- OpenAlex
- W2133015692
- Cited by
- 277
- References
- 46
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 11 · 2023: 9 · 2022: 14 · 2021: 21 · 2020: 53 · 2019: 26 · 2018: 15 · 2017: 21 · 2016: 30 · 2015: 23 · 2014: 25 · 2013: 11
- FWCI
- 16.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- Autism Speaks
- Pfizer
- National Institutes of Health (HD 03110, EB005149)
- Intellectual and Developmental Disabilities Research Center (T32 HD40127, P30 HD03110)
- National Institute of Mental Health (R01MH091645)
- National Institute of Biomedical Imaging and Bioengineering (U54EB005149)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32-HD-40127, HD055741-S1, P30-HD03110, P30HD003110, T32HD007376, T32HD040127, R01HD055741)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, visual orienting, white matter microstructure, radial diffusivity, splenium of corpus callosum, saccade latency, oculomotor development, familial risk, corticospinal tract, eye tracking, diffusion-weighted imaging, infant development
- MeSH terms
- Attention, Brain, Brain Mapping, Cerebral Cortex, Child Development Disorders, Pervasive, Cognition Disorders, Corpus Callosum, Female, Follow-Up Studies, Humans, Image Interpretation, Computer-Assisted, Infant, Male, Nerve Fibers, Neurons, Orientation, Pyramidal Tracts, Reaction Time, Reference Values, Reticular Formation, Saccades, Superior Colliculi, Visual Pathways, Genetic Predisposition to Disease, Diffusion Magnetic Resonance Imaging, Emotional Intelligence, Leukoencephalopathies
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