The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Open accessAbstract
Autism spectrum disorders (ASDs) are characterized by deficits in social and communication processes. Recent data suggest that altered functional connectivity (FC), i.e. synchronous brain activity, might contribute to these deficits. Of specific interest is the FC integrity of the default mode network (DMN), a network active during passive resting states and cognitive processes related to social deficits seen in ASD, e.g. Theory of Mind. We investigated the role of altered FC of default mode sub-networks (DM-SNs) in 16 patients with high-functioning ASD compared to 16 matched healthy controls of short resting fMRI scans using independent component analysis (ICA). ICA is a multivariate data-driven approach that identifies temporally coherent networks, providing a natural measure of FC. Results show that compared to controls, patients showed decreased FC between the precuneus and medial prefrontal cortex/anterior cingulate cortex, DMN core areas, and other DM-SNs areas. FC magnitude in these regions inversely correlated with the severity of patients' social and communication deficits as measured by the Autism Diagnostic Observational Schedule and the Social Responsiveness Scale. Importantly, supplemental analyses suggest that these results were independent of treatment status. These results support the hypothesis that DM-SNs under-connectivity contributes to the core deficits seen in ASD. Moreover, these data provide further support for the use of data-driven analysis with resting-state data for illuminating neural systems that differ between groups. This approach seems especially well suited for populations where compliance with and performance of active tasks might be a challenge, as it requires minimal cooperation.
Overview
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
Verification
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 the citing paper
“evidence for differences in connectivity between distant brain regions in children with ASD (Abrams et al., 2013; Assaf et al., 2010; Maximo et al., 2014; Plitt et al., 2015) would also suggest a propensity towards multisensory deficits”
From Behavioral, Perceptual, and Neural Alterations in Sensory and Multisensory Function in Autism Spectrum Disorder (2015) · cites this paper as Assaf et al., 2010
In the citing paper
“the magnitude of connection strength between DMN nodes is inversely correlated with the severity of social and communication difficulties (Assaf et al., 2010)”
From Behavioral, Perceptual, and Neural Alterations in Sensory and Multisensory Function in Autism Spectrum Disorder (2015) · cites this paper as Assaf et al., 2010
In the citing paper
“In fact, several recent imaging studies on resting-state functional connectivity and DTI confirm disruptive neural activation dynamics in ASD within the vmPFC–VS–amygdala circuitry [78-81].”
From Social “wanting” dysfunction in autism: neurobiological underpinnings and treatment implications (2012) · cites this paper as [78]
In the citing paper
“Activation in the DMN during this phase of the game is posited to occur due to mentalizing processes (e.g., trying to infer the opponent's strategy) as well as future planning (e.g., what chip to play next) and is measured by the show>no-show contrast [Assaf et al., 2010[Assaf et al., , 2009b]].”
From Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks: Mentalizing and Default-Mode Subnetworks (2015) · cites this paper as Assaf et al., 2010
In the citing paper
“This contrasts with earlier studies of resting state fMRI using low-order sICA (<= 30 components) where the DMN (excluding the temporal poles) was typically encompassed by only two to three ICNs [Assaf et al., 2010;Calhoun et al., 2008], or in some cases, by only a single ICN [Franco et al., 2009;Meindl et al., 2010;Patel et al., 2013].”
From Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks: Mentalizing and Default-Mode Subnetworks (2015) · cites this paper as Assaf et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
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
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
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
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Cited by
Sorted by citations
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
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780
Self-citationWhy are autism spectrum conditions more prevalent in males?
Baron-Cohen, S., Lombardo, M. V., Auyeung, B., Ashwin, E., Chakrabarti, B., & Knickmeyer, R. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001081 · Cited by 754
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
Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity
Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., & Varma, S. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.02.007 · Cited by 578
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 606
Resting state fMRI in Alzheimer's disease: beyond the default mode network
Agosta, F., Pievani, M., Geroldi, C., Copetti, M., Frisoni, G. B., & Filippi, M. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.06.007 · Cited by 599
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
Brain hyperconnectivity in children with autism and its links to social deficits
Supekar, K., Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., & Menon, V. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.001 · Cited by 538
Li, W., Mai, X., & Liu, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00074 · Cited by 508
Constantino, J. N., Davis, S. A., Todd, R. D., Schindler, M. K., Gross, M. M., Brophy, S. L., Metzger, L. M., Shoushtari, C. S., Splinter, R., & Reich, W. (2003) · PsycTESTS Dataset · doi:10.1037/t17260-000 · Cited by 432
Functional connectivity magnetic resonance imaging classification of autism
Anderson, J. S., Nielsen, J. A., Froehlich, A. L., DuBray, M. B., Druzgal, T. J., Cariello, A. N., Cooperrider, J. R., Zielinski, B. A., Ravichandran, C., Fletcher, P. T., et al. (2011) · Brain · doi:10.1093/brain/awr263 · Cited by 405
Constantino, J. N. (2021) · Springer eBooks · doi:10.1007/978-3-319-91280-6_296 · Cited by 420
Altered functional and structural brain network organization in autism
Rudie, J. D., Brown, J. A., Beck-Pancer, D., Hernandez, L. M., Dennis, E. L., Thompson, P. M., Bookheimer, S. Y., & Dapretto, M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2012.11.006 · Cited by 411
Vissers, M. E., Cohen, M. X., & Geurts, H. M. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.003 · Cited by 412
Biological Motion Processing as a Hallmark of Social Cognition
Pavlova, M. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr156 · Cited by 407
Baum, S. H., Stevenson, R. A., & Wallace, M. T. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.09.007 · Cited by 370
Group information guided ICA for fMRI data analysis
Du, Y., & Yong Fan, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.008 · Cited by 371
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 396
Fractionation of social brain circuits in autism spectrum disorders
Gotts, S. J., Simmons, W. K., Milbury, L. A., Wallace, G. L., Cox, R. W., & Martin, A. (2012) · Brain · doi:10.1093/brain/aws160 · Cited by 369
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
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
Altered 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
Cho, K. K. A., Hoch, R., Lee, A. T., Patel, T., Rubenstein, J. L. R., & Sohal, V. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.019 · Cited by 329
Zhang, J., Cheng, W., Liu, Z., Zhang, K., Lei, X., Yao, Y., Becker, B., Liu, Y., Kendrick, K. M., Lu, G., et al. (2016) · Brain · doi:10.1093/brain/aww143 · Cited by 333
Decreased Functional Connectivity by Aging Is Associated with Cognitive Decline
Onoda, K., Ishihara, M., & Yamaguchi, S. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00269 · Cited by 350
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 315
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
Ameis, S. H., & Catani, M. (2015) · Cortex · doi:10.1016/j.cortex.2014.10.014 · Cited by 301
Cerebellar gray matter and lobular volumes correlate with core autism symptoms
D'Mello, A. M., Crocetti, D., Mostofsky, S. H., & Stoodley, C. J. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.007 · Cited by 281
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
Ward, A. M., Schultz, A. P., Huijbers, W., Dijk, K. R. A. V., Hedden, T., & Sperling, R. A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22234 · Cited by 282
Gotts, S. J., Saad, Z. S., Jo, H. J., Wallace, G. L., Cox, R. W., & Martin, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00356 · Cited by 255
He, T., Kong, R., Holmes, A. J., Nguyen, M., Sabuncu, M. R., Eickhoff, S. B., Bzdok, D., Feng, J., & Yeo, B. T. T. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116276 · Cited by 271
Cheng, W., Rolls, E. T., Gu, H., Zhang, J., & Feng, J. (2015) · Brain · doi:10.1093/brain/awv051 · Cited by 270
The Default Mode Network’s Role in Discrete Emotion
Satpute, A. B., & Lindquist, K. A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.003 · Cited by 280
Faster Independent Component Analysis by Preconditioning With Hessian Approximations
Ablin, P., Cardoso, J.-F., & Gramfort, A. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2844203 · Cited by 283
The implications of brain connectivity in the neuropsychology of autism
Maximo, J. O., Cadena, E. J., & Kana, R. K. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9250-0 · Cited by 259
The Emerging Picture of Autism Spectrum Disorder: Genetics and Pathology
Chen, J. A., Peñagarikano, O., Belgard, T. G., Swarup, V., & Geschwind, D. H. (2015) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-012414-040405 · Cited by 254
Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders
Kana, R. K., Libero, L. E., & Moore, M. S. (2011) · Physics of Life Reviews · doi:10.1016/j.plrev.2011.10.001 · Cited by 263
Theory of mind and neurodevelopmental disorders of childhood
KORKMAZ, B. (2011) · Pediatric Research · doi:10.1203/pdr.0b013e318212c177 · Cited by 249
Connectivity in Autism: A Review of MRI Connectivity Studies
Rane, P., Cochran, D., Hodge, S. M., Haselgrove, C., Kennedy, D. N., & Frazier, J. A. (2015) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000072 · Cited by 234
Picci, G., & Scherf, K. S. (2014) · Clinical Psychological Science · doi:10.1177/2167702614540646 · Cited by 253
Inter-Regional Brain Communication and Its Disturbance in Autism
Schipul, S. E., Keller, T. A., & Just, M. A. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00010 · Cited by 243
Functional magnetic resonance imaging of autism spectrum disorders
Dichter, G. S. (2012) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2012.14.3/gdichter · Cited by 215
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 225
Alaerts, K., Swinnen, S. P., & Wenderoth, N. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw027 · Cited by 193
Multiple resting state network functional connectivity abnormalities in mild traumatic brain injury
Stevens, M. C. G., Lovejoy, D. W., Kim, J., Oakes, H., Kureshi, I. U., & Witt, S. T. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9157-4 · Cited by 212
Self-citationDuc, N. T., Ryu, S., Qureshi, M. N. I., Choi, M., Lee, K. H., & Lee, B. (2019) · Neuroinformatics · doi:10.1007/s12021-019-09419-w · Cited by 210
Tyszka, J. M., Kennedy, D. P., Paul, L. K., & Adolphs, R. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht040 · Cited by 187
Social “wanting” dysfunction in autism: neurobiological underpinnings and treatment implications
Kohls, G., Chevallier, C., Troiani, V., & Schultz, R. T. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-10 · Cited by 197
Self-citationStructural 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
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 202
Rudie, J. D., Shehzad, Z. E., Hernandez, L. M., Colich, N. L., Bookheimer, S. Y., Iacoboni, M., & Dapretto, M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr171 · Cited by 206
Uddin, L. Q., Menon, V., Young, C. B., Ryali, S., Chen, T., Khouzam, A., Minshew, N. J., & Hardan, A. Y. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.07.014 · Cited by 187
Chen, C. P., Keown, C. L., Jahedi, A., Nair, A., Pflieger, M. E., Bailey, B. A., & Müller, R.-A. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.04.002 · Cited by 183
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation
Wang, M., Zhang, D., Huang, J., Yap, P., Shen, D. G., & Liu, M. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2933160 · Cited by 179
Identification of neural connectivity signatures of autism using machine learning
Deshpande, G., Libero, L. E., Sreenivasan, K. R., Deshpande, H., & Kana, R. K. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00670 · Cited by 184
Brain mechanisms in religion and spirituality: An integrative predictive processing framework
van Elk, M., & Aleman, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.031 · Cited by 191
Resting state functional magnetic resonance imaging and neural network classified autism and control
Iidaka, T. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.011 · Cited by 176
Guo, X., Dominick, K. C., Minai, A. A., Li, H., Erickson, C. A., & Lu, L. J. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00460 · Cited by 178
Psychometric properties of the Chinese version of the Social Responsiveness Scale
Gau, S. S., Liu, L., Wu, Y., Chiu, Y., & Tsai, W. (2012) · Research in Autism · doi:10.1016/j.rasd.2012.10.004 · Cited by 178
Patients with autism spectrum disorders display reproducible functional connectivity alterations
Holiga, Š., Hipp, J. F., Chatham, C. H., Garcés, P., Spooren, W. P. J. M., D’ardhuy, X. L., Bertolino, A., Bouquet, C., Buitelaar, J. K., Bours, C., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aat9223 · Cited by 175
Sex differences in psychiatric disorders: what we can learn from sex chromosome aneuploidies
Green, T., Flash, S., & Reiss, A. L. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0153-2 · Cited by 175
Xu, X., Yuan, H., & Lei, X. (2016) · Scientific Reports · doi:10.1038/srep21001 · Cited by 177
Wei, D., Yang, J., Li, W., Wang, K., Zhang, Q., & Qiu, J. (2014) · Cortex · doi:10.1016/j.cortex.2013.09.004 · Cited by 164
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 154
Redcay, E., Moran, J. M., Mavros, P. L., Tager-Flusberg, H., Gabrieli, J. D. E., & Whitfield-Gabrieli, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00573 · Cited by 158
Fuzzy Synchronization Likelihood-wavelet methodology for diagnosis of autism spectrum disorder
Ahmadlou, M., Adeli, H., & Adeli, A. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.08.020 · Cited by 157
Atypical Cross Talk Between Mentalizing and Mirror Neuron Networks in Autism Spectrum Disorder
Fishman, I., Keown, C. L., Lincoln, A. J., Pineda, J. A., & Müller, R.-A. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.83 · Cited by 153
Oldehinkel, M., Mennes, M., Marquand, A. F., Charman, T., Tillmann, J., Ecker, C., Dell’Acqua, F., Brandeis, D., Banaschewski, T., Baumeister, S., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.11.010 · Cited by 160
Ciaramidaro, A., Bölte, S., Schlitt, S., Hainz, D., Poustka, F., Weber, B., Bara, B. G., Freitag, C. M., & Walter, H. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu124 · Cited by 151
Personality and self-insight in individuals with autism spectrum disorder.
Schriber, R. A., Robins, R. W., & Solomon, M. (2014) · Journal of Personality and Social Psychology · doi:10.1037/a0034950 · Cited by 150
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
Yu, Q., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rachakonda, S., He, H., Gruner, W. E., Pearlson, G. D., Kiehl, K. A., & Calhoun, V. D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025423 · Cited by 148
Self-citationFloris, D. L., Barber, A. D., Nebel, M. B., Martinelli, M., Lai, M., Crocetti, D., Baron‐Cohen, S., Suckling, J., Pekar, J. J., & Mostofsky, S. H. (2016) · Molecular Autism · doi:10.1186/s13229-016-0096-6 · Cited by 154
Wilkins, R. W., Hodges, D. A., Laurienti, P. J., Steen, M. R., & Burdette, J. H. (2014) · Scientific Reports · doi:10.1038/srep06130 · Cited by 159
Changes occur in resting state network of motor system during 4weeks of motor skill learning
Ma, L., Narayana, S., Robin, D. A., Fox, P. T., & Xiong, J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.014 · Cited by 153
Tang, S., Sun, N., Floris, D. L., Zhang, X., Martino, A. D., & Yeo, B. T. T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.11.009 · Cited by 145
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
Decreased frontal gyrification correlates with altered connectivity in children with autism
Schaer, M., Ottet, M.-C., Scariati, E., Dukes, D., Franchini, M., Eliez, S., & Glaser, B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00750 · Cited by 147
Neural 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 148
Altered Network Topologies and Hub Organization in Adults with Autism: A Resting-State fMRI Study
Itahashi, T., Yamada, T., Watanabe, H., Nakamura, M., Jimbo, D., Shioda, S., Toriizuka, K., Kato, N., & Hashimoto, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094115 · Cited by 143
Abnormal brain synchrony in Down Syndrome
Anderson, J. S., Nielsen, J. A., Ferguson, M. A., Burback, M., Cox, E., Dai, L., Gerig, G., Edgin, J. O., & Korenberg, J. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.05.006 · Cited by 148
Strength and similarity guided group-level brain functional network construction for MCI diagnosis
Zhang, Y., Zhang, H., Chen, X., Liu, M., Zhu, X., Lee, S., & Shen, D. G. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.12.001 · Cited by 137
Boehm, I., Geisler, D., King, J. A., Ritschel, F., Seidel, M., Araujo, Y. I. D., Petermann, J., Lohmeier, H., Weiss, J., Walter, M., et al. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00346 · Cited by 131
Jung, M., Kosaka, H., Saito, D. N., Ishitobi, M., Morita, T., Inohara, K., Asano, M., Arai, S., Munesue, T., Tomoda, A., et al. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-35 · Cited by 128
Typical and atypical brain development: a review of neuroimaging studies
Dennis, E. L., & Thompson, P. M. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/edennis · Cited by 126
Joint Analysis of Band-Specific Functional Connectivity and Signal Complexity in Autism
Ghanbari, Y., Bloy, L., Edgar, J. C., Blaskey, L. G., Verma, R., & Roberts, T. P. L. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1915-7 · Cited by 128
Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback
Ramot, M., Kimmich, S., González-Castillo, J., Roopchansingh, V., Popal, H. S., White, E. I., Gotts, S. J., & Martin, A. D. (2017) · eLife · doi:10.7554/elife.28974 · Cited by 111
Ripe for solution: Delayed development of multisensory processing in autism and its remediation
Beker, S., Foxe, J. J., & Molholm, S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.008 · Cited by 127
Murdaugh, D. L., Shinkareva, S. V., Deshpande, H. R., Wang, J., Pennick, M. R., & Kana, R. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050064 · Cited by 114
Harikumar, A., Evans, D. W., Dougherty, C. C., Carpenter, K. L. H., & Michael, A. M. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0865 · Cited by 113
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
Khosla, M., Jamison, K. W., Kuceyeski, A. F., & Sabuncu, M. R. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.012 · Cited by 114
de Lacy, N., Doherty, D., King, B., Rachakonda, S., & Calhoun, V. D. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.05.024 · Cited by 114
Self-citationUsing DeepGCN to identify the autism spectrum disorder from multi-site resting-state data
Cao, M., Yang, M., Qin, C., Zhu, X., Chen, Y., Wang, J., & Liu, T. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103015 · Cited by 117
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
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
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
Park, B., Hong, S., Valk, S. L., Paquola, C., Benkarim, O. M., Bethlehem, R. A. I., Martino, A. D., Milham, M. P., Gozzi, A., Yeo, B. T. T., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21732-0 · Cited by 107
Metadata
- Authors
- Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., & Pearlson, G. D.
- Affiliations
- Hartford Hospital (US)
- Children's Hospital of Philadelphia (US)
- Corresponding author
- Assaf, Michal
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 53
- Issue
- 1
- Pages
- 247-256
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3058935
- OpenAlex
- W2063167566
- Cited by
- 680
- References
- 71
- Citations by year
- 2026: 28 · 2025: 37 · 2024: 33 · 2023: 28 · 2022: 39 · 2021: 52 · 2020: 52 · 2019: 60 · 2018: 53 · 2017: 39 · 2016: 41 · 2015: 47 · 2014: 47 · 2013: 46 · 2012: 43
- FWCI
- 23.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Autism Speaks
- National Institute of Biomedical Imaging and Bioengineering (R01EB000840, R01EB020407, R01EB006841)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, default mode network, functional connectivity, resting-state fMRI, independent component analysis, precuneus, medial prefrontal cortex, anterior cingulate cortex, theory of mind, high-functioning autism
- MeSH terms
- Adolescent, Brain, Child, Child Development Disorders, Pervasive, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Sensitivity and Specificity, Reproducibility of Results, Young Adult
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