Atypical longitudinal development of functional connectivity in adolescents with autism spectrum disorder
Open accessAbstract
Autism spectrum disorder (ASD) is consistently associated with alterations in brain connectivity, but there are conflicting results as to where and when individuals with ASD display increased or reduced functional connectivity. Such inconsistent findings may be driven by atypical neurodevelopmental trajectories in ASD during adolescence, but no longitudinal studies to date have investigated this hypothesis. We thus examined the functional connectivity of three neurocognitive resting‐state networks—the default mode network (DMN), salience network, and central executive network (CEN)—in a longitudinal sample of youth with ASD (n = 16) and without ASD (n = 22) studied during early/mid‐ and late adolescence. Functional connectivity between the CEN and the DMN displayed significantly altered developmental trajectories in ASD: typically developing (TD) controls—but not youth with ASD—exhibited an increase in negative functional connectivity between these two networks with age. This significant interaction was due to the ASD group displaying less negative functional connectivity than the TD group during late adolescence only, with no significant group differences in early/mid‐adolescence. These preliminary findings suggest a localized age‐dependency of functional connectivity alterations in ASD and underscore the importance of considering age when examining brain connectivity. Autism Research 2019, 12: 53–65. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary: Brain connectivity may develop differently during adolescence in youth with autism spectrum disorder (ASD). We looked at changes in brain connectivity over time within individuals and found that, for some brain regions, adolescents with ASD did not show the same changes in brain connectivity that typically developing adolescents did. This suggests it is important to consider age when studying brain connectivity in ASD.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In resting state functional connectivity MRI studies, evidence has emerged of both hyper-connectivity and hypo-connectivity in short-range and long-range connections throughout the brain in ASD.
“In these studies, evidence has emerged of both hyper-connectivity and hypo-connectivity in short-range and long-range connections throughout the brain 80,81”
From Autism spectrum disorder (2020) · cites this paper as [81]
The Introduction (page unavailable) reports that resting-state functional connectivity studies in ASD have found both hyperconnectivity and hypoconnectivity. It does not establish the claim’s further specificity that both occur in short-range and long-range connections throughout the brain; the paper focuses on selected resting-state networks. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Lord, 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 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · see citing works
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 6,805 · see citing works
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592 · 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
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Permutation inference for the general linear model
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563 · see citing works
Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487 · see citing works
Lai, M.-C., Lombardo, M. V., & Baron-Cohen, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61539-1 · Cited by 2,371 · see citing works
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344 · see citing works
Salience processing and insular cortical function and dysfunction
Uddin, L. Q. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3857 · Cited by 2,083 · see citing works
ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Pruim, R. H. R., Mennes, M., van Rooij, D., Llera, A., Buitelaar, J. K., & Beckmann, C. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.064 · Cited by 1,684 · see citing works
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works
Maturation of Cognitive Processes From Late Childhood to Adulthood
Luna, B., Garver, K. E., Urban, T. A., Lazar, N. A., & Sweeney, J. A. (2004) · Child Development · doi:10.1111/j.1467-8624.2004.00745.x · Cited by 1,351 · see citing works
Competition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287 · see citing works
Sex differences in autism spectrum disorders
Werling, D. M., & Geschwind, D. H. (2013) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32835ee548 · Cited by 1,245 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Towards a consensus regarding global signal regression for resting state functional connectivity MRI
Murphy, K., & Fox, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.052 · Cited by 1,043 · see citing works
From the genetic architecture to synaptic plasticity in autism spectrum disorder
Bourgeron, T. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3992 · Cited by 975 · see citing works
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952 · see citing works
Enhancing studies of the connectome in autism using the autism brain imaging data exchange II
Martino, A. D., O’Connor, D. A., Chen, B., Alaerts, K., Anderson, J. S., Assaf, M., Balsters, J. H., Baxter, L. C., Beggiato, A., Bernaerts, S., et al. (2017) · Scientific Data · doi:10.1038/sdata.2017.10 · Cited by 696 · see citing works
Self-citationImaging brain development: The adolescent brain
Blakemore, S.-J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.080 · Cited by 649 · see citing works
Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.104 · Cited by 621 · see citing works
Reconceptualizing functional brain connectivity in autism from a developmental perspective
Uddin, L. Q., Supekar, K., & Menon, V. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00458 · Cited by 582 · see citing works
Resting-state functional connectivity in autism spectrum disorders: a review
Hull, J. V., Dokovna, L. B., Jacokes, Z. J., Torgerson, C. M., Irimia, A., & Van Horn, J. D. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00205 · Cited by 546 · see citing works
Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
Pruim, R. H. R., Mennes, M., Buitelaar, J. K., & Beckmann, C. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.063 · Cited by 487 · see citing works
Aberrant Striatal Functional Connectivity in Children with Autism
Di Martino, A., Kelly, C., Grzadzinski, R., Zuo, X.-N., Mennes, M., Mairena, M. A., Lord, C., Castellanos, F. X., & Milham, M. P. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.10.029 · Cited by 483 · see citing works
Avoiding asymmetry-induced bias in longitudinal image processing
Reuter, M., & Fischl, B. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.076 · Cited by 480 · see citing works
Müller, R., Shih, P., Keehn, B., Deyoe, J. R., Leyden, K. M., & Shukla, D. K. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq296 · Cited by 450 · see citing works
Decreased interhemispheric functional connectivity in autism
Anderson, J. S., Druzgal, T. J., Froehlich, A., DuBray, M. B., Lange, N., Alexander, A. L., Abildskov, T., Nielsen, J. A., Cariello, A. N., Cooperrider, J. R., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq190 · Cited by 438 · see citing works
Hampson, M., Driesen, N. R., Roth, J. K., Gore, J. C., & Constable, R. T. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2010.03.021 · Cited by 363 · see citing works
Manoliu, A., Riedl, V., Zherdin, A., Mühlau, M., Schwerthöffer, D., Scherr, M., Peters, H., Zimmer, C., Förstl, H., Bäuml, J., et al. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt037 · Cited by 354 · see citing works
Di Martino, A., Zuo, X.-N., Kelly, C., Grzadzinski, R., Mennes, M., Schvarcz, A., Rodman, J., Lord, C., Castellanos, F. X., & Milham, M. P. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.02.011 · Cited by 345 · see citing works
The contribution of network organization and integration to the development of cognitive control
Marek, S., Hwang, K., Foran, W., Hallquist, M. N., & Luna, B. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002328 · Cited by 337 · see citing works
Plitt, M., Barnes, K. A., & Martin, A. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.12.013 · Cited by 335 · see citing works
Sherman, L. E., Rudie, J. D., Pfeifer, J. H., Masten, C. L., McNealy, K., & Dapretto, M. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.08.002 · Cited by 325 · see citing works
Self-citationAltered neural connectivity in excitatory and inhibitory cortical circuits in autism
Zikopoulos, B., & Barbas, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00609 · Cited by 313 · see citing works
Pugliese, C. E., Anthony, L. G., Strang, J. F., Dudley, K. M., Wallace, G. L., & Kenworthy, L. E. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2309-1 · Cited by 288 · see citing works
Developmental changes in large-scale network connectivity in autism
Nomi, J. S., & Uddin, L. Q. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.024 · Cited by 274 · see citing works
Dysmaturation of the default mode network in autism
Washington, S. D., Gordon, E. M., Brar, J., Warburton, S., Sawyer, A. T., Wolfe, A., Mease‐Ference, E. R., Girton, L., Hailu, A., Mbwana, J., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22252 · Cited by 269 · see citing works
Hull, L., Mandy, W., & Petrides, K. (2017) · Autism · doi:10.1177/1362361316669087 · Cited by 254 · see citing works
A Meta-Analysis of Working Memory Impairments in Autism Spectrum Disorders
Wang, Y., Zhang, Y.-B., Liu, L.-L., Cui, J.-F., Wang, J., Shum, D. H. K., van Amelsvoort, T., & Chan, R. C. K. (2017) · Neuropsychology Review · doi:10.1007/s11065-016-9336-y · Cited by 252 · see citing works
Lai, C. L. E., Lau, Z., Lui, S. S. Y., Lok, E., Tam, V., Chan, Q., Cheng, K. M., Lam, S. M., & Cheung, E. F. C. (2017) · Autism Research · doi:10.1002/aur.1723 · Cited by 250 · see citing works
Pugliese, C. E., Anthony, L. G., Strang, J. F., Dudley, K., Wallace, G. L., Naiman, D. Q., & Kenworthy, L. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2584-5 · Cited by 218 · see citing works
Abbott, A. E., Nair, A., Keown, C. L., Datko, M., Jahedi, A., Fishman, I., & Müller, R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv191 · Cited by 213 · see citing works
Cortical Gray and White Brain Tissue Volume in Adolescents and Adults with Autism
Hazlett, H. C., Poe, M. D., Gerig, G., Smith, R. G., & Piven, J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.015 · Cited by 185 · see citing works
Chai, X. J., Ofen, N., Gabrieli, J. D. E., & Whitfield, S. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00517 · Cited by 176 · see citing works
Hoekzema, E. A., Carmona, S., Ramos‐Quiroga, J. A., Vanesa Richarte, B., Bosch, R., Soliva, J. C., Rovira, M., Bulbena, A., Tobeña, A., Casas, M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22250 · Cited by 170 · see citing works
Kana, R. K., Uddin, L. Q., Kenet, T., Chugani, D. C., & ller, R.-A. M. U. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00349 · Cited by 166 · see citing works
Yerys, B. E., Gordon, E. M., Abrams, D. N., Satterthwaite, T. D., Weinblatt, R., Jankowski, K. F., Strang, J. F., Kenworthy, L. E., Gaillard, W. D., & Vaidya, C. J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.07.018 · Cited by 158 · see citing works
Autism-Associated Promoter Variant in MET Impacts Functional and Structural Brain Networks
Rudie, J. D., Hernandez, L. M., Brown, J. A., Beck-Pancer, D., Colich, N. L., Gorrindo, P., Thompson, P. M., Geschwind, D. H., Bookheimer, S. Y., Levitt, P., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.010 · Cited by 142 · see citing works
Self-citationNeural Signatures of Autism Spectrum Disorders: Insights into Brain Network Dynamics
Hernandez, L. M., Rudie, J. D., Green, S. A., Bookheimer, S. Y., & Dapretto, M. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.172 · Cited by 141 · see citing works
Self-citationStevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 138 · see citing works
Woodward, N. D., Giraldo‐Chica, M., Rogers, B. P., & Cascio, C. J. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.09.002 · Cited by 136 · see citing works
Dajani, D. R., & Uddin, L. Q. (2015) · Autism Research · doi:10.1002/aur.1494 · Cited by 134 · see citing works
Shih, P., Keehn, B., Oram, J. K., Leyden, K. M., Keown, C. L., & Müller, R. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.040 · Cited by 124 · see citing works
Picci, G., Gotts, S. J., & Scherf, K. S. (2016) · Developmental Science · doi:10.1111/desc.12467 · Cited by 122 · see citing works
Barber, A. D., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.011 · Cited by 121 · see citing works
Plitt, M., Barnes, K. A., Wallace, G. L., Kenworthy, L., & Martin, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510098112 · Cited by 114 · see citing works
Wiggins, J. L., Peltier, S., Ashinoff, S., Weng, S.-J., Carrasco, M., Welsh, R. C., Lord, C., & Monk, C. S. (2010) · Brain Research · doi:10.1016/j.brainres.2010.10.102 · Cited by 106 · see citing works
fMRI Functional Connectivity Applied to Adolescent Neurodevelopment
Monique Ernst, D., Torrisi, S., Balderston, N. L., Grillon, C., & Hale, E. A. (2015) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032814-112753 · Cited by 104 · see citing works
Chen, S.-F., Chien, Y.-L., Wu, C.-T., Shang, C.-Y., Wu, Y.-Y., & Gau, S. S. (2016) · Psychological Medicine · doi:10.1017/s0033291715002238 · Cited by 104 · see citing works
Atypical developmental of dorsal and ventral attention networks in autism
Farrant, K., & Uddin, L. Q. (2015) · Developmental Science · doi:10.1111/desc.12359 · Cited by 97 · see citing works
Vasa, R. A., Mostofsky, S. H., & Ewen, J. B. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.02.003 · Cited by 97 · see citing works
Age related changes in striatal resting state functional connectivity in autism
Padmanabhan, A., Lynn, A., Foran, W., Luna, B., & O’Hearn, K. M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00814 · Cited by 96 · see citing works
Long, Z., Duan, X., Mantini, D., & Chen, H. (2016) · Scientific Reports · doi:10.1038/srep26527 · Cited by 91 · see citing works
Atypical functional brain connectivity during rest in autism spectrum disorders
Doyle‐Thomas, K. A. R., Lee, W., Foster, N. E. V., Tryfon, A., Ouimet, T., Hyde, K. L., Evans, A. C., Lewis, J. D., Zwaigenbaum, L., Anagnostou, E. A., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24391 · Cited by 90 · see citing works
Impact of methodological variables on functional connectivity findings in autism spectrum disorders
Nair, A., Keown, C. L., Datko, M., Shih, P., Keehn, B., & Müller, R. (2014) · Human Brain Mapping · doi:10.1002/hbm.22456 · Cited by 85 · see citing works
Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates
Thompson, W., & Holland, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.092 · Cited by 78 · see citing works
Davids, R. C. D., Groen, Y., Berg, I. J., Tucha, O. M., & van Balkom, I. D. C. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2831-4 · Cited by 75 · see citing works
Lee, Y.-B., Park, B., James, O., Kim, S., & Park, H. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00418 · Cited by 74 · see citing works
John, T. S., Dawson, G., & Estes, A. M. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3296-9 · Cited by 67 · see citing works
Alaerts, K., Nayar, K., Kelly, C. A. M., Raithel, J., Milham, M. P., & Martino, A. D. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv029 · Cited by 65 · see citing works
Convergent Evidence of Brain Overconnectivity in Children with Autism?
Rudie, J. D., & Dapretto, M. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.043 · Cited by 58 · see citing works
Self-citationPsychotropic Medication Use in Autism Spectrum Disorders May Affect Functional Brain Connectivity
Linke, A. C., Olson, L., Gao, Y., Fishman, I., & Müller, R. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.06.008 · Cited by 56 · see citing works
Burrows, C. A., Laird, A. R., & Uddin, L. Q. (2016) · Developmental Science · doi:10.1111/desc.12400 · Cited by 51 · see citing works
Developmental differences in higher-order resting-state networks in Autism Spectrum Disorder
Bos, D. J., van Raalten, T. R., Oranje, B., Smits, A. R., Kobussen, N. A., Belle, J. V., Rombouts, S. A. R. B., & Durston, S. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.05.007 · Cited by 45 · see citing works
Alterations in resting state connectivity along the autism trait continuum: a twin study
Neufeld, J., Kuja‐Halkola, R., Mevel, K., Cauvet, É., Fransson, P., & Bölte, S. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.160 · Cited by 45 · see citing works
Additive effects of oxytocin receptor gene polymorphisms on reward circuitry in youth with autism
Hernandez, L. M., Krasileva, K., Green, S. A., Sherman, L. E., Ponting, C., McCarron, R., Lowe, J. K., Geschwind, D. H., Bookheimer, S. Y., & Dapretto, M. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.209 · Cited by 43 · see citing works
Examination of Local Functional Homogeneity in Autism
Jiang, L., Hou, X., Yang, N., Yang, Z., & Zuo, X. (2015) · BioMed Research International · doi:10.1155/2015/174371 · Cited by 32 · see citing works
Venkataraman, A., Yang, D. Y.-J., Dvornek, N., Staib, L. H., Duncan, J. S., Pelphrey, K. A., & Ventola, P. (2016) · NeuroReport · doi:10.1097/wnr.0000000000000662 · Cited by 24 · see citing works
Wiggins, J. L., Peltier, S. J., Bedoyan, J. K., Carrasco, M., Welsh, R. C., Martin, D. M., Lord, C., & Monk, C. S. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.10.008 · Cited by 17 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Constantino JN Gruber CP 2012 Social Responsiveness Scale–Second Edition (SRS-2) Torrance, CA Western Psychological Services
- Wechlser D 2003 Wechlser Intelligence Scale for Children–Fourth Edition (WISC-IV) San Antonio, TX NCS Pearson
- Wechlser D 2011 Wechlser Abbreviated Scale of Intelligence–Second Edition (WASI-II) San Antonio, TX NCS Pearson
Cited by
Sorted by citations
Lord, C., Brugha, T. S., Charman, T., Cusack, J., Dumas, G., Frazier, T., Jones, E. J. H., Jones, R. M., Pickles, A., State, M. W., et al. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0138-4 · Cited by 1,859 · see citing works
Wilson, R. B., Vangala, S., Elashoff, D., Safari, T., & Smith, B. A. (2021) · Sensors · doi:10.3390/s21020616 · Cited by 59 · see citing works
- Authors
- Lawrence, K. E., Hernandez, L. M., Bookheimer, S. Y., & Dapretto, M.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Dapretto, Mirella
- Venue
- Autism Research
- Publisher
- Wiley
- Published
- 2018-10-30
- Volume
- 12
- Issue
- 1
- Pages
- 53-65
- ISSN
- 1939-3792 (ISSN-L)
- 1939-3806
- PMC
- PMC6325013
- OpenAlex
- W2898690507
- Cited by
- 61
- References
- 90
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 13 · 2022: 4 · 2021: 14 · 2020: 10 · 2019: 2
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Autism Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Child Health and Human Development (P50HD055784)
- National Institute of Mental Health (F31MH110140, T32MH073526)
- National Institute of Neurological Disorders and Stroke (T32NS048004, F99NS105206)
- National Center for Research Resources
- Achievement Rewards for College Scientists Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, functional connectivity, adolescent brain development, resting-state networks, default mode network, salience network, frontoparietal network, neurodevelopmental trajectories
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Brain, Brain Mapping, Child, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Neural Pathways, Adolescent Development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
