A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder
Open accessAbstract
Functional magnetic resonance imaging (fMRI) has been widely used to examine the relationships between brain function and phenotypic features in neurodevelopmental disorders. Techniques such as resting-state functional connectivity (FC) have enabled the identification of the primary networks of the brain. One fMRI network, in particular, the default mode network (DMN), has been implicated in social-cognitive deficits in autism spectrum disorders (ASD) and attentional deficits in attention deficit hyperactivity disorder (ADHD). Given the significant clinical and genetic overlap between ASD and ADHD, surprisingly, no reviews have compared the clinical, developmental, and genetic correlates of DMN in ASD and ADHD and here we address this knowledge gap. We find that, compared with matched controls, ASD studies show a mixed pattern of both stronger and weaker FC in the DMN and ADHD studies mostly show stronger FC. Factors such as age, intelligence quotient, medication status, and heredity affect DMN FC in both ASD and ADHD. We also note that most DMN studies make ASD versus ADHD group comparisons and fail to consider ASD+ADHD comorbidity. We conclude, by identifying areas for improvement and by discussing the importance of using transdiagnostic approaches such as the Research Domain Criteria (RDoC) to fully account for the phenotypic and genotypic heterogeneity and overlap of ASD and ADHD.
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?
Neuroimaging and polygenic studies demonstrate shared alterations in fronto-striatal and default-mode networks, and overlapping risk loci such as FOXP1 and CNTNAP2 in ADHD and ASD.
“Neuroimaging and polygenic studies demonstrate shared alterations in fronto-striatal and default-mode networks, and overlapping risk loci such as FOXP1 and CNTNAP2”
From ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives (2025) · cites this paper as [45]
The Abstract (page unavailable) reports altered default-mode-network connectivity in both ASD and ADHD, although it describes mixed stronger and weaker connectivity in ASD and mostly stronger connectivity in ADHD. The Genetic Studies and the DMN section (page unavailable) discusses genetic overlap but says DMN-related genetic research has mostly involved ADHD; our copy does not substantiate shared fronto-striatal alterations or identify FOXP1 and CNTNAP2 as overlapping risk loci. (LLM, conf=0.87)
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
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · 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
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318179964f · Cited by 3,399 · see citing works
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326 · see citing works
Conners, C. K., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998) · Journal of Abnormal Child Psychology · doi:10.1023/a:1022602400621 · Cited by 1,772 · see citing works
Clinical applications of resting state functional connectivity
Fox, M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00019 · Cited by 1,164 · see citing works
The DSM-5: Classification and criteria changes
Regier, D. A., Kuhl, E. A., & Kupfer, D. J. (2013) · World Psychiatry · doi:10.1002/wps.20050 · Cited by 1,138 · cited 2× · see citing works
“, 2012) with definitions before the DSM-5 listing autism and ADHD as distinct clinical disorders as opposed to existing on one clinical spectrum (Regier et al., 2013).”
BackgroundResting-State fMRI: A Review of Methods and Clinical Applications
Lee, M. H., Smyser, C. D., & Shimony, J. S. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3263 · Cited by 1,127 · see citing works
Saad, Z. S., Gotts, S. J., Murphy, K., Chen, G., Jo, H. J., Martin, A., & Cox, R. W. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0080 · Cited by 859 · see citing works
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., & Pearlson, G. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.067 · Cited by 680 · 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
Cortical Activity in Precision- Versus Power-Grip Tasks: An fMRI Study
Ehrsson, H. H., Fagergren, A., Jonsson, T., Westling, G., Johansson, R. S., & Forssberg, H. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.1.528 · Cited by 619 · 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
Depression, rumination and the default network
Berman, M. G., Peltier, S., Nee, D. E., Kross, E., Deldin, P. J., & Jonides, J. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq080 · Cited by 568 · see citing works
Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder
Rommelse, N. N. J., Franke, B., Geurts, H. M., Hartman, C. A., & Buitelaar, J. K. (2010) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-010-0092-x · Cited by 564 · cited 4× · see citing works
“Rommelse et al. (2010) discussed that ASD-ADHD occur at a high co-frequency such that 20–50% of children with ADHD meet criteria for ASD, and 30–80% of ASD children meet criteria for ADHD.”
BackgroundMethodInfluentialMargari, L., Craig, F., Margari, F., Legrottaglie, A., Palumbi, R., & De Giambattista, C. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s104620 · Cited by 557 · see citing works
Supekar, K., Uddin, L. Q., Prater, K. E., Amin, H., Greicius, M. D., & Menon, V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.009 · Cited by 524 · see citing works
Right supramarginal gyrus is crucial to overcome emotional egocentricity bias in social judgments
Silani, G., Lamm, C., Ruff, C. C., & Singer, T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1488-13.2013 · Cited by 511 · 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
Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463 · see citing works
Genetic control over the resting brain
Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., Curran, J. C., Olvera, R. L., Laird, A. R., Smith, S. M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909969107 · Cited by 450 · see citing works
Leitner, Y. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00268 · Cited by 439 · cited 4× · see citing works
“Comorbid ASD+ADHD presentations have emerged as an important clinical group, as opposed to studies that presented ASD and ADHD as separate groups ( Johnston et al., 2013; Leitner, 2014; Pondé et al., 2010).”
BackgroundInfluentialWeng, S.-J., Wiggins, J. L., Peltier, S., Carrasco, M., Risi, S., Lord, C., & Monk, C. S. (2009) · Brain Research · doi:10.1016/j.brainres.2009.11.057 · Cited by 421 · see citing works
Fox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.035 · Cited by 395 · see citing works
Vissers, M. E., Cohen, M. X., & Geurts, H. M. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.003 · Cited by 395 · see citing works
The Default Mode Network in Autism
Padmanabhan, A., Lynch, C. J., Schaer, M., & Menon, V. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.04.004 · Cited by 381 · see citing works
Lynch, C. J., Uddin, L. Q., Supekar, K., Khouzam, A., Phillips, J. M., & Menon, V. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.013 · Cited by 357 · see citing works
DSM-IV und DSM-5: Was hat sich tatsächlich verändert?
Ehret, A. M., & Berking, M. (2013) · Verhaltenstherapie · doi:10.1159/000356537 · Cited by 345 · see citing works
Uddin, L. Q. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00021 · Cited by 343 · see citing works
Downar, J. H., Crawley, A. P., Mikulis, D. J., & Davis, K. D. (2001) · NeuroImage · doi:10.1006/nimg.2001.0946 · Cited by 336 · see citing works
Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.017 · Cited by 336 · see citing works
Developmental brain dysfunction: revival and expansion of old concepts based on new genetic evidence
Moreno-De-Luca, A., Myers, S. M., Challman, T. D., Moreno-De-Luca, D., Evans, D. W., & Ledbetter, D. H. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70011-5 · Cited by 330 · see citing works
Self-citationAutism and ADHD: Overlapping and discriminating symptoms
Mayes, S. D., Calhoun, S. L., Mayes, R. D., & Molitoris, S. (2012) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2011.05.009 · Cited by 324 · see citing works
ADHD and autism: differential diagnosis or overlapping traits? A selective review
Taurines, R., Schwenck, C., Westerwald, E., Sachse, M., Siniatchkin, M., & Freitag, C. (2012) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-012-0086-2 · Cited by 301 · see citing works
Hagen, E. V. D., Stoyanova, R. S., Baron‐Cohen, S., & Calder, A. J. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss053 · Cited by 299 · see citing works
MRC AIMS consortium, Christakou, A., Murphy, C. M., Chantiluke, K., Cubillo, A. I., Smith, A. B., Giampietro, V, Daly, E., Ecker, C., Robertson, D., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2011.185 · Cited by 293 · see citing works
Increased Gender Variance in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder
Strang, J. F., Kenworthy, L. E., Dominska, A., Sokoloff, J. L., Kenealy, L. E., Berl, M. M., Walsh, K. S., Menvielle, E. J., Slesaransky-Poe, G., Kim, K.-E., et al. (2014) · Archives of Sexual Behavior · doi:10.1007/s10508-014-0285-3 · Cited by 282 · see citing works
Ebisch, S. J. H., D, V. G. M., Willems, R. M., Mantini, D., Groen, W. B., Romani, G. L., Buitelaar, J. K., & Harold Bekkering, A. (2010) · Human Brain Mapping · doi:10.1002/hbm.21085 · Cited by 278 · see citing works
Sripada, C., Kessler, D. A., & Angstadt, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407787111 · Cited by 244 · see citing works
Mulligan, A., Anney, R. J. L., O’Regan, M., Chen, W., Butler, L., Fitzgerald, M., Buitelaar, J., Steinhausen, H.-C., Rothenberger, A., Minderaa, R., et al. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-008-0621-3 · Cited by 233 · see citing works
Chen, H., Xujun, D., Liu, F., Lu, F., Ma, X., Zhang, Y., Uddin, L. Q., & Chen, H. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.06.014 · Cited by 199 · see citing works
Structural and functional magnetic resonance imaging of autism spectrum disorders
Stigler, K. A., McDonald, B. C., Anand, A., Saykin, A. J., & McDougle, C. J. (2011) · Brain Research · doi:10.1016/j.brainres.2010.11.076 · Cited by 197 · see citing works
Tyszka, J. M., Kennedy, D. P., Paul, L. K., & Adolphs, R. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht040 · Cited by 187 · see citing works
What Can We Learn about Autism from Studying Fragile X Syndrome?
Budimirovic, D. B., & Kaufmann, W. E. (2011) · Developmental Neuroscience · doi:10.1159/000330213 · Cited by 176 · see citing works
Uddin, L. Q., Dajani, D. R., Voorhies, W., Bednarz, H., & Kana, R. K. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.164 · Cited by 173 · see citing works
Sun, L., Cao, Q., Long, X., Sui, M., Cao, X., Zhu, C., Zuo, X., Li, A., Song, Y., Zang, Y., et al. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.07.001 · Cited by 168 · 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
Ray, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22603 · Cited by 149 · see citing works
Worrying and rumination are both associated with reduced cognitive control
Beckwé, M., Deroost, N., Koster, E. H. W., Lissnyder, E. D., & Raedt, R. D. (2013) · Psychological Research · doi:10.1007/s00426-013-0517-5 · Cited by 140 · see citing works
Reorganization of functionally connected brain subnetworks in high‐functioning autism
Glerean, E., Pan, R. K., Salmi, J., Kujala, R., Lahnakoski, J. M., Roine, U., Nummenmaa, L., Leppämäki, S., Wendt, T. N., Tani, P., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.23084 · Cited by 122 · see citing works
Chantiluke, K., Christakou, A., Murphy, C. M., Giampietro, V., Daly, E. M., Ecker, C., Brammer, M., Murphy, D. G., & Rubia, K. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2014.04.006 · Cited by 116 · 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
Approaches to local connectivity in autism using resting state functional connectivity MRI
Maximo, J. O., Keown, C. L., Nair, A., & Müller, R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00605 · Cited by 110 · see citing works
Dougherty, C. C., Evans, D. W., Myers, S. M., Moore, G. J., & Michael, A. M. (2016) · Neuropsychology Review · doi:10.1007/s11065-015-9300-2 · Cited by 104 · see citing works
Self-citationKern, J. K., Geier, D. A., King, P. G., Sykes, L. K., Mehta, J. A., & Geier, M. R. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0324 · Cited by 101 · see citing works
Shared familial transmission of autism spectrum and attention‐deficit/hyperactivity disorders
Musser, E. D., Hawkey, E., Kachan‐Liu, S. S., Lees, P., Roullet, J., Goddard, K., Steiner, R. D., & Nigg, J. T. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12201 · Cited by 97 · see citing works
Sidlauskaite, J., Sonuga-Barke, E. J. S., Roeyers, H., & Wiersema, J. R. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-015-0630-0 · Cited by 96 · see citing works
Kucyi, A., Hove, M. J., Biederman, J., Dijk, K. R. A. V., & Valera, E. M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22850 · Cited by 95 · see citing works
Garvey, M. A., Avenevoli, S., & Anderson, K. C. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.11.002 · Cited by 93 · see citing works
Jann, K., Hernandez, L. M., Beck‐Pancer, D., McCarron, R., Smith, R. X., Dapretto, M., & Wang, D. J. J. (2015) · Brain and Behavior · doi:10.1002/brb3.358 · Cited by 87 · see citing works
Neural Connectivity Evidence for a Categorical-Dimensional Hybrid Model of Autism Spectrum Disorder
Elton, A., Di Martino, A., Hazlett, H. C., & Gao, W. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.10.020 · Cited by 81 · see citing works
Kernbach, J. M., Satterthwaite, T. D., Bassett, D. S., Smallwood, J., Margulies, D., Krall, S., Shaw, P., Varoquaux, G., Thirion, B., Konrad, K., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0179-6 · Cited by 81 · see citing works
Mapping connectivity in the developing brain
Dennis, E. L., & Thompson, P. M. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.05.007 · Cited by 79 · see citing works
Bos, D. J., Oranje, B., Achterberg, M., Vlaskamp, C., Ambrosino, S., de Reus, M. A., van den Heuvel, M. P., Rombouts, S. A. R. B., & Durston, S. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12712 · Cited by 79 · see citing works
Lee, J. M., Kyeong, S.-H., Kim, E. J., & Cheon, K.-A. A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00191 · Cited by 76 · see citing works
Evaluation of Pattern Recognition and Feature Extraction Methods in ADHD Prediction
Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00068 · Cited by 74 · see citing works
Resting-state time-varying analysis reveals aberrant variations of functional connectivity in autism
Yao, Z., Hu, B., Xie, Y., Zheng, F., Liu, G., Chen, X., & Zheng, W. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00463 · Cited by 74 · see citing works
Network connectivity abnormality profile supports a categorical‐dimensional hybrid model of ADHD
Elton, A., Alcauter, S., & Gao, W. (2014) · Human Brain Mapping · doi:10.1002/hbm.22492 · Cited by 70 · see citing works
Understanding Information Need
Moshfeghi, Y., Triantafillou, P., & Pollick, F. E. (2016) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2911451.2911534 · Cited by 66 · see citing works
Chien, H., Lin, H., Lai, M., Gau, S. S., & Tseng, W. I. (2015) · Autism Research · doi:10.1002/aur.1457 · Cited by 54 · see citing works
Sudre, G., Choudhuri, S., Székely, E., Bonner, T., Goduni, E., Sharp, W., & Shaw, P. (2017) · JAMA psychiatry · doi:10.1001/jamapsychiatry.2016.3072 · Cited by 54 · see citing works
Lee, D., Lee, J., Lee, J. E., & Jung, Y. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.02.005 · Cited by 52 · see citing works
Xiao, F., Li, L., An, D., Lei, D., Tang, Y., Yang, T., Ren, J., Chen, S., Huang, X., Gong, Q., et al. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.01.016 · Cited by 49 · see citing works
Attention Deficit Hyperactivity Disorder Symptoms in Adults with Autism Spectrum Disorders
Johnston, K., Dittner, A. J., Bramham, J., Murphy, C. M., Knight, A. K., & Russell, A. (2013) · Autism Research · doi:10.1002/aur.1283 · Cited by 49 · see citing works
Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry
Katuwal, G. J., Baum, S. A., Cahill, N. D., & Michael, A. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0153331 · Cited by 49 · see citing works
Self-citationTye, C., Johnson, K. A., Kelly, S. P., Asherson, P. J., Kuntsi, J., Ashwood, K. L., Azadi, B., Bolton, P., & McLoughlin, G. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12608 · Cited by 49 · see citing works
Jung, M., Mody, M., Saito, D. N., Tomoda, A., Okazawa, H., Wada, Y., & Kosaka, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143126 · Cited by 46 · see citing works
Clinical correlates of sluggish cognitive tempo in adolescents with autism spectrum disorder
Duncan, A., Tamm, L., Birnschein, A. M., & Becker, S. P. (2019) · Autism · doi:10.1177/1362361318811329 · Cited by 42 · see citing works
Frequency of symptoms of attention deficit and hyperactivity disorder in autistic children
Pondé, M. P., Novaes, C. M., & Losapio, M. F. (2010) · Arquivos de Neuro-Psiquiatria · doi:10.1590/s0004-282x2010000100022 · Cited by 38 · see citing works
Brain structure and function in school-aged children with sluggish cognitive tempo symptoms
Camprodon-Rosanas, E., Pujol, J., Martínez-Vilavella, G., Blanco-Hinojo, L., Medrano-Martorell, S., Batlle, S., Forns, J., Ribas-Fitó, N., Dolz, M., & Sunyer, J. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.09.441 · Cited by 34 · see citing works
Venkataraman, A., Duncan, J. S., Yang, D. Y. ‐., & Pelphrey, K. A. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.021 · Cited by 33 · see citing works
Esteller-Cucala, P., Maceda, I., Børglum, A. D., Demontis, D., Faraone, S. V., Cormand, B., & Lao, Ó. (2020) · Scientific Reports · doi:10.1038/s41598-020-65322-4 · Cited by 33 · see citing works
Wang, K., Xu, M., Ji, Y., Zhang, L., Du, X., Li, J., Luo, Q., & Li, F. Y. (2019) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867419836031 · Cited by 28 · see citing works
Funakoshi, Y., Harada, M., Otsuka, H., Mori, K., Ito, H., & Iwanaga, T. (2016) · The Journal of Medical Investigation · doi:10.2152/jmi.63.204 · Cited by 27 · see citing works
Impact of electroconvulsive therapy on 5-HT1A receptor binding in major depression
Lanzenberger, R. R., Baldinger, P., Hahn, A., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.177 · Cited by 20 · see citing works
van der Meer, D., Hartman, C. A., Pruim, R. H. R., Mennes, M., Heslenfeld, D. J., Oosterlaan, J., Faraone, S. V., Franke, B., Buitelaar, J. K., & Hoekstra, P. J. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9633-3 · Cited by 19 · see citing works
Venkatraghavan, L., Bharadwaj, S., Wourms, V., Tan, A., Jurkiewicz, M. T., Mikulis, D. J., & Crawley, A. P. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0448 · Cited by 14 · see citing works
Conceptual and methodological challenges for neuroimaging studies of autistic spectrum disorders
Mazzone, L., & Curatolo, P. (2010) · Behavioral and Brain Functions · doi:10.1186/1744-9081-6-17 · Cited by 8 · see citing works
More similarities than differences between ADHD and ASD in functional brain connectivityPreprint
Bathelt, J., Caan, M. W. A., & Geurts, H. M. (2020) · doi:10.31234/osf.io/4tfmn · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Harikumar A. 2018. The default mode network in autism spectrum disorder and attention deficit hyperactivity disorder: a comparative study. Doctoral dissertation. San Diego, CA: San Diego State University
Cited by
Sorted by citations
ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives
Bogdańska-Chomczyk, E., Majewski, M. K., & Kozłowska, A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262211020 · Cited by 15 · see citing works
- Authors
- Harikumar, A., Evans, D. W., Dougherty, C. C., Carpenter, K. L. H., & Michael, A. M.
- Affiliations
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- Bucknell University (US)
- Pennsylvania State University (US)
- Duke University (US)
- Corresponding author
- Harikumar, Amritha
- Venue
- Brain Connectivity
- Publisher
- SAGE Publications
- Published
- 2021-05
- Volume
- 11
- Issue
- 4
- Pages
- 253-263
- ISSN
- 2158-0014 (ISSN-L)
- 2158-0022
- PMC
- PMC8112713
- OpenAlex
- W3120906006
- Cited by
- 113
- References
- 92
- Citations by year
- 2026: 16 · 2025: 30 · 2024: 27 · 2023: 22 · 2022: 17 · 2021: 1
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain Connectivity (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD093074)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Keywords
- default mode network, autism spectrum disorder, attention deficit hyperactivity disorder, resting-state functional connectivity, social cognition deficits, attention deficits, neurodevelopmental disorders, genetic overlap, transdiagnostic approach, Research Domain Criteria, phenotypic heterogeneity
- MeSH terms
- Autism Spectrum Disorder, Default Mode Network, Attention Deficit Disorder with Hyperactivity, Brain, Humans, Magnetic Resonance Imaging
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
