Since its release on August 30 2012, data from the ABIDE repository has been used by researchers spanning a broad range of scientists, disciplines and countries to inform our understanding of the neural bases of autism, as well as to promote biomarker discovery and innovation of imaging analyses methodologies. Below we provide a list of the peer-reviewed manuscripts that have made use of all or parts of the ABIDE repository.
Additionally, to keep up with the spirit of open science that has inspired the ABIDE initiative, in order to facilitate replications and interpretation of results, we asked the authors of these empirical studies to share the data ID list used for their primary analyses. Whenever available we attach the list along with the publication name. We encourage any new user of the ABIDE repository to inform us on their new peer-reviewed publication and share the dataset ID list by contacting either Adriana Di Martino or Patricia Segura.

Empirical Studies

Last updated on March 27th 2017.

ABIDE I Announcing Manuscript

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., Deen, B., Delmonte, S., Dinstein, I., Ertl-Wagner, B., Fair, D. A., Gallagher, L., Kennedy, D. P., Keown, C. L., Keysers, C., Lainhart, J. E., Lord, C., Luna, B., Menon, V., Minshew, N. J., Monk, C. S., Mueller, S., Müller, R. A., Nebel, M. B., Nigg, J. T., O'Hearn, K., Pelphrey, K. A., Peltier, S. J., Rudie, J. D., Sunaert, S., Thioux, M., Tyszka, J. M., Uddin, L. Q., Verhoeven, J. S., Wenderoth, N., Wiggins, J. L., Mostofsky, S. H., & Milham, M. P.
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
Mol Psychiatry. 2014 Jun;19(6):659-67. doi: 10.1038/mp.2013.78. Epub 2013 Jun 18.

ABIDE II Announcing Manuscript

Di Martino, A., O'Connor, D., Chen, B., Alaerts, K, Anderson, J. S., Assaf, M., Balsters, J. H., Baxter, L., Beggiato, A., Bernaerts, S., Blanken, L. M., Bookheimer, S. Y., Braden, B. B., Byrge, L., Castellanos, F. X., Dapretto, M., Delorme, R., Fair, D. A., Fishman, I., Fitzgerald, J., Gallagher, L., Keehn, R. J., Kennedy, D. P., Lainhart, J. E., Luna, B., Mostofsky, S. H., Müller, R. A., Nebel, M. B., Nigg, J. T., O'Hearn, K., Solomon, M., Toro, R., Vaidya, C. J., Wenderoth, N., White, T., Craddock, R. C., Lord, C., Leventhal, B., & Milham, M. P.
Enhancing studies of the connectome in autism using the autism brain imaging data exchange II.
Sci Data. 2017 March 14;4:170010. doi: 10.1038/sdata.2017.10.

Other Empirical Articles

Abraham, A., Milham, M. P., Di Martino, A., Craddock, R. C., Samaras, D., Thirion, B., & Varoquaux, G.
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.
Neuroimage. 2017 Feb 15;147:736-745. doi: 10.1016/j.neuroimage.2016.10.045. Epub 2016 Nov 16.

Moradi, E., Khundrakpam, B., Lewis, J. D., Evans, A. C., & Tohka, J.
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.
Neuroimage. 2017 Jan 1;144(Pt A):128-141. doi: 10.1016/j.neuroimage.2016.09.049. Epub 2016 Sep 22.

Subbaraju, V., Suresh, M. B., Sundaram, S., & Narasimhan, S.
Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach.
Med Image Anal. 2017 Jan;35:375-389. doi: 10.1016/ Epub 2016 Aug 23.

Kassraian-Fard, P., Matthis, C., Balsters, J. H., Maathuis, M. H., & Wenderoth, N.
Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example.
Front Psychiatry. 2016 Dec 1;7:177. eCollection 2016.

Ghiassian, S., Greiner, R., Jin, P., & Brown, M. R.
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism.
PLoS One. 2016 Dec 28;11(12):e0166934. doi: 10.1371/journal.pone.0166934. eCollection 2016.

Cheng, W., Rolls, E. T., Zhang, J., Sheng, W., Ma, L., Wan, L., Luo, Q., & Feng, J.
Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.
Neuoimage. 2016 Dec 28;148:169-178. doi: 10.1016/j.neuroimage.2016.12.068. [Epub ahead of print].

Torres, E. B., & Denisova, K.
Motor noise is rich signal in autism research and pharmacological treatments.
Sci Rep. 2016 Nov 21;6:37422. doi: 10.1038/srep37422.

Chen, H., Uddin, L. Q., Zhang, Y., Duan, X., & Chen, H.
Atypical effective connectivity of thalamo-cortical circuits in autism spectrum disorder.
Autism Res. 2016 Nov;9(11):1183-1190. doi: 10.1002/aur.1614. Epub 2016 Mar 22.

Guo, X., Duan, X., Long, Z., Chen, H., Wang, Y., Zheng, Y., Li, R., & Chen, H.
Decreased amygdala functional connectivity in adolescents with autism: A resting-state fMRI study.
Psychiatry Res. 2016 Oct 23;257:47-56. doi: 10.1016/j.pscychresns.2016.10.005. [Epub ahead of print]

Yao, Z., Hu, B., Xie, Y., Zheng, F., Liu, G., Chen, X., & Zheng, W.
Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism.
Front Hum Neurosci. 2016 Sep 16;10:463. eCollection 2016.

Katuwal, G. J., Baum, S. A., Cahill, N. D., Dougherty, C. C., Evans, E., Evans, D. W., Moore, G. J., & Michael, A. M.
Inter-Method Discrepancies in Brain Volume Estimation May Drive Inconsistent Findings in Autism.
Front Neurosci. 2016 Sep 30;10:439. eCollection 2016.

Zhao, F., Qiao, L., Shi, F., Yap, P. T., & Shen, D.
Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder.
Brain Imaging Behav. 2016 Aug 17. [Epub ahead of print].

Farrant, K., & Uddin, L. Q.
Atypical developmental of dorsal and ventral attention networks in autism.
Dev Sci. 2016 Jul;19(4):550-63. doi: 10.1111/desc.12359. Epub 2015 Nov 27.

Zhao, Y., Chen, H., Li, Y., Lv J, Jiang, X., Ge, F., Zhang, T., Zhang, S., Ge, B., Lyu, C., Zhao, S., Han, J., Guo, L., & Liu, T.
Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder.
Neuroimage Clin. 2016 Jun 7;12:23-33.

Elton, A., Di Martino, A., Hazlett, H. C., & Gao, W.
Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder.
Biol Psychiatry. 2016 Jul 15;80(2):120-8. doi:10.1016/j.biopsych.2015.10.020. Epub 2015 Nov 2.

Long, Z., Duan, X., Mantini, D., & Chen, H.
Alteration of functional connectivity in autism spectrum disorder: effect of age and anatomical distance.
Sci Rep. 2016 May 19;6:26527. doi: 10.1038/srep26527.

Igelstrom, K. M., Webb, T. W., & Graziano, M. S.
Functional Connectivity Between the Temporoparietal Cortex and Cerebellum in Autism Spectrum Disorder.
Cereb Cortex. 2016 Apr 12. pii: bhw079. [Epub ahead of print]

Balsters, J. H., Mantini, D., Apps, M. A., Eickhoff, S. B., & Wenderoth, N.
Connectivity-based parcellation increases network detection sensitivity in resting state fMRI: An investigation into the cingulate cortex in autism.
Neuroimage Clin. 2016 Mar 25;11:494-507. doi: 10.1016/j.nicl.2016.03.016. eCollection 2016.

Wee, C. Y., Yap, P. T., & Shen, D.
Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting-State Functional Connectivity Networks.
CNS Neurosci Ther. 2016 Mar;22(3):212-9. doi: 10.1111/cns.12499. Epub 2016 Jan 29.

Riddle, K., Cascio, C. J., & Woodward, N. D.
Brain structure in autism: a voxel-based morphometry analysis of the Autism Brain Imaging Database Exchange (ABIDE).
Brain Imaging Behav. 2016 Mar 3. doi:10.1007/s11682-016-9534-5.[Epub ahead of print]

Alaerts, K., Swinnen, S. P., & Wenderoth, N.
Sex differences in autism: a resting-state fMRI investigation of functional brain connectivity in males and females.
Soc Cogn Affect Neurosci. 2016 Jun;11(6):1002-16. doi:10.1093/scan/nsw027. Epub 2016 Mar 17.

Hoffmann, F., Koehne, S., Steinbeis, N., Dziobek, I., & Singer, T.
Preserved Self-other Distinction During Empathy in Autism is Linked to Network Integrity of Right Supramarginal Gyrus.
J Autism Dev Disord. 2016 Feb;46(2):637-48.

Glerean, E., Pan, R. K., Salmi, J., Kujala, R., Lahnakoski, J. M., Roine, U., Nummenmaa, L., Leppämäki, S., Nieminen-von Wendt, T., Tani, P., Saramäki, J., Sams, M. & Jääskeläinen, I. P.
Reorganization of functionally connected brain subnetworks in high-functioning autism.
Hum Brain Mapp. 2016 Mar;37(3):1066-79. doi:10.1002/hbm.23084. Epub 2015 Dec 21.

Katuwal, G. J., Baum, S. A., Cahill, N. D., & Michael, A. M.
Divide and conquer: sub-grouping of ASD improves ASD detection based on brain morphometry.
PloS ONE. 2016 Apr 11;11(4):e0153331. doi:10.1371/journal.pone.0153331. eCollection 2016.

Narayan, M., & Allen, G. I.
Mixed effects models for resampled network statistics improves statistical power to find differences in multi-subject functional connectivity.
Front Neurosci. 2016 Apr 12;10:108. doi:10.3389/fnins.2016.00108. eCollection 2016.

Pardoe, H. R., Kucharsky Hiess, R., & Kuzniecky, R.
Motion and morphometry in clinical and nonclinical populations.
Neuroimage. 2016 Jul 15;135:177-85. doi:10.1016/j.neuroimage.2016.05.005. Epub 2016 May 3.

Turner, A. H., Greenspan, K. S., & van Erp, T. G.
Pallidum and lateral ventricle volume enlargement in autism spectrum disorder.
Psychiatry Res. 2016 Jun 30;252:40-45. doi:10.1016/j.psychresns.2016.04.003. Epub 2016 May 3.

Lee, J. M., Kyeong, S., Kim, E., & Cheon, K. A.
Abnormalities of inter-and intra-hemispheric functional connectivity in autism spectrum disorders: a study using the Autism Brain Imaging Data Exchange database.
Front Neurosci. 2016 May 3;10:191. doi:10.3389/fnins.2016.00191. eCollection 2016.

Eilam-Stock, T., Wu, T., Spagna, A., Egan, L. J., & Fan, J.
Neuroanatomical alterations in high-functioning adults with autism spectrum disorder.
Front Neurosci. 2016 Jun 2;10:237. doi:10.3389/fnins.2016.00237. eCollection 2016.

Dougherty, C. C., Evans, D. W., Katuwal, G. J., & Michael, A. M.
Asymmetry of fusiform structure in autism spectrum disorder: trajectory and association with symptom severity.
Mol Autism. 2016 May 24;7:28. doi:10.1186/s13229-016-0089-5. eCollection 2016.

Ypma, R. J., Moseley, R. L., Holt, R. J., Rughooputh, N., Floris, D. L., Chura, L. R., Spencer, M. D., Baron-Cohen, S., Suckling, J., Bullmore, E. T. & Rubinov, M.,
Default mode hypoconnectivity underlies a sex-related autism spectrum.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 Jul;1(4):364-371. doi:10.1016/j.bpsc.2016.04.006

Falahpour, M., Thompson, W. K., Abbott, A. E., Jahedi, A., Mulvey, M. E., Datko, M., Liu, T. T. & Müller, R. A.,
Underconnected, but not broken? Dynamic functional connectivity MRI shows underconnectivity in autism is linked to increased intra-individual variability across time.
Brain Connect. 2016 June;6(5):403-14. doi:10.1089/brain.2015.0389. Epub 2016 April 22.

Haar, S., Berman, S., Behrmann, M., & Dinstein, I.
Anatomical abnormalities in autism?
Cereb Cortex. 2016 Apr;26(4):1440-52. doi: 10.1093/cercor/bhu242. Epub 2014 Oct 14.

Sato, J. R., Balardin, J., Vidal, M. C., & Fujita, A.
Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis.
J Psychiatry Neurosci. 2016 Mar;41(2):124-32. doi:10.1503/jpn.140364

Zhou, Y., Shi, L., Cui, X., Wang, S., & Luo, X.
Functional Connectivity of the Caudal Anterior Cingulate Cortex Is Decreased in Autism..
PLoS One. 2016 Mar 17;11(3):e0151879. doi: 10.1371/journal.pone.0151879. eCollection 2016.

Dajani, D. R., & Uddin, L. Q.
Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation.
Autism Res. 2016 Jan;9(1):43-54. doi: 10.1002/aur.1494. Epub 2015 Jun 8.

Nebel, M. B., Eloyan, A., Nettles, C. A., Sweeney, K. L., Ament, K., Ward, R. E., Choe, A. S., Barber, A. D., Pekar, J. J. & Mostofsky, S. H.
Intrinsic visual-motor synchrony correlates with social deficits in autism.
Biol Psychiatry. 2016 Apr 15;79(8):633-41. doi:10.1016/j.biopsych.2015.08.029. Epub 2015 Sep 3.

Baldwin, P.R., Curtis, K.N., Patriquin, M.A., Wolf, V., Viswanath, H., Shaw, C., Sakai, Y. & Salas, R.,
Identifying diagnostically-relevant resting state brain functional connectivity in the ventral posterior complex via genetic data mining in autism spectrum disorder.
Autism research. 2016 May;9(5):553-62. doi:10.1002/aur.1559. Epub 2015 Oct 9.

Blackmon, K., Ben-Avi, E., Wang, X., Pardoe, H.R., Di Martino, A., Halgren, E., Devinsky, O., Thesen, T. & Kuzniecky, R.,
Periventricular white matter abnormalities and restricted repetitive behavior in autism spectrum disorder.
Neuroimage Clin. 2015 Oct 31;10:36-45. doi:10.1016/j.nicl.2015.10.017. eCollection 2016.

Supekar, K., & Menon, V.
Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism.
Mol Autism. 2015 Sep 4;6:50. doi:10.1186/s13229-015-0042-z. eCollection 2015.

Katuwal, G. J., Cahill, N. D., Baum, S. A., & Michael, A. M.
The predictive power of structural MRI in Autism diagnosis.
Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:4270-3. doi: 10.1109/EMBC.2015.7319338.

Chen, H., Duan, X., Liu, F., Lu, F., Ma, X., Zhang, Y., Uddin, L, Q., & Chen, H.
Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity-A multi-center study.
Prog Neuropsychopharmacol Biol Psychiatry. 2016 Jan 4;64:1-9. doi: 10.1016/j.pnpbp.2015.06.014. Epub 2015 Jul 4.

Subbaraju, V., Sundaram, S., Narasimhan, S., & Suresh, B. M.
Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network.
Expert Systems with Applications. 2015 Dec 1;42(22):8775-8790. doi:10.1016/j.eswa.2015.07.031.

Hahamy, A., Behrmann, M., & Malach, R.
The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder.
Nat Neurosci. 2015 Feb;18(2):302-9. doi: 10.1038/nn.3919. Epub 2015 Jan 19.

Vigneshwaran, S., Mahanand, B. S., Suresh, S., & Sundararajan, N.
Using regional homogeneity from functional MRI for diagnosis of ASD among males.
Proc Int Jt Conf Neural Netw. 2015 Jul;1-8. doi:10.1109/ijcnn.2015.7280562.

Vigneshwaran, S., Suresh, S., Mahanand, B. S., & Sundararajan, N.
ASD detection in males using MRI-an age-group based study.
Proc Int Jt Conf Neural Netw. 2015 Jul:1-8. doi:10.1109/ijcnn.2015.7280537.

Nomi, J. S., & Uddin, L. Q.
Developmental changes in large-scale network connectivity in autism.
Neuroimage Clin. 2015 Mar 6;7:732-41. doi:10.1016/j.nicl.2015.02.024. eCollection 2015.

Venkataraman, A., Duncan, J. S., Yang, D. Y. J., & Pelphrey, K. A.
An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism.
Neuroimage Clin. 2015 May 1;8:356-66. doi: 10.1016/j.nicl.2015.04.021. eCollection 2015.

Vinette, S. A., & Bray, S.
Variation in functional connectivity along anterior-to-posterior intraparietal sulcus, and relationship with age across late childhood and adolescence.
Dev Cogn Neurosci. 2015 Jun;13:32-42. doi: 10.1016/j.dcn.2015.04.004. Epub 2015 Apr 21.

Valk, S. L., Di Martino, A., Milham, M. P., & Bernhardt, B. C.
Multicenter mapping of structural network alterations in autism.
Hum Brain Mapp. 2015 Jun;36(6):2364-73. doi: 10.1002/hbm.22776. Epub 2015 Feb 25.

Schaer, M., Kochalka, J., Padmanabhan, A., Supekar, K., & Menon, V.
Sex differences in cortical volume and gyrification in autism.
Mol Autism. 2015 Jul 4;6:42. doi: 10.1186/s13229-015-0035-y. eCollection 2015.

Lefebvre, A., Beggiato, A., Bourgeron, T., & Toro, R.
Neuroanatomical diversity of corpus callosum and brain volume in autism: meta-analysis, analysis of the Autism Brain Imaging Data Exchange project, and simulation.
Biol Psychiatry. 2015 Jul 15;78(2):126-34. doi: 10.1016/j.biopsych.2015.02.010. Epub 2015 Feb 17.

Iidaka, T.
Resting state functional magnetic resonance imaging and neural network classified autism and control.
Cortex. 2015 Feb;63:55-67. doi: 10.1016/j.cortex.2014.08.011. Epub 2014 Aug 28.

Kucharsky Hiess, R., Alter, R., Sojoudi, S., Ardekani, B. A., Kuzniecky, R., & Pardoe, H. R.
Corpus callosum area and brain volume in autism spectrum disorder: quantitative analysis of structural MRI from the ABIDE database.
J Autism Dev Disord. 2015 Oct;45(10):3107-14. doi: 10.1007/s10803-015-2468-8.

Cheng, W., Rolls, E. T., Gu, H. G., Zhang, J., & Feng, J. F.
Autism: reduced connectivity between cortical areas involved in face expression, theory of mind, and the sense of self.
Brain. 2015 May;138(Pt 5):1382-93. doi: 10.1093/brain/awv051. Epub 2015 Mar 20.

Chen, H., Kelly, C., Castellanos, F. X., He, Y., Zuo, X. N., & Reiss, P. T.
Quantile rank maps: a new tool for understanding individual brain development.
Neuroimage. 2015 May 1;111:454-63. doi: 10.1016/j.neuroimage.2014.12.082. Epub 2015 Jan 10.

Chen, C. P., Keown, C. L., Jahedi, A., Nair, A., Pflieger, M. E., Bailey, B. A., & Müller, R. A.
Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.
Neuroimage Clin. 2015 Apr 9;8:238-45. doi: 10.1016/j.nicl.2015.04.002. eCollection 2015.

Cerliani, L., Mennes, M., Thomas, R. M., Di Martino, A., Thioux, M., & Keysers, C.
Increased functional connectivity between subcortical and cortical resting-state networks in autism spectrum disorder.
JAMA Psychiatry. 2015 Aug 1;72(8):767-77. doi: 10.1001/jamapsychiatry.2015.0101.

Bos, D. J., Merchán-Naranjo, J., Martínez, K., Pina-Camacho, L., Balsa, I., Boada, L., Schnack, H., Oranje, B., Desco, M., Arango, C., Parellada, M., Durston, S., & Janssen, J.
Reduced gyrification is related to reduced interhemispheric connectivity in autism spectrum disorders.
J Am Acad Child Adolesc Psychiatry. 2015 Aug;54(8):668-76. doi: 10.1016/j.jaac.2015.05.011. Epub 2015 Jun 5.

Jiang, L., Hou, X.H, Yang, N., Yang, Z., & Zuo, X. N.
Examination of local functional homogeneity in autism.
Biomed Res Int. 2015;2015:174371. doi: 10.1155/2015/174371. Epub 2015 Jun 9.

Alaerts, K., Nayar, K., Kelly, C., Raithel, J., Milham, M. P., & Di Martino, A.
Age-related changes in intrinsic function of the superior temporal sulcus in autism spectrum disorders.
Soc Cogn Affect Neurosci. 2015 Oct;10(10):1413-23. doi: 10.1093/scan/nsv029. Epub 2015 Mar 25.

Chen, S., Kang, J., & Wang, G.
An empirical Bayes normalization method for connectivity metrics in resting state fMRI.
Front Neurosci. 2015 Sep 16;9:316. doi:10.3389/fnins.2015.00316. eCollection 2015.

Plitt, M., Barnes, K. A., & Martin, A.
Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards.
Neuroimage Clin. 2014 Dec 24;7:359-66. doi: 10.1016/j.nicl.2014.12.013. eCollection 2015.

Spisák, T., Jakab, A., Kis, S. A., Opposits, G., Aranyi, C., Berényi, E., & Emri, M.
Voxel-wise motion artifacts in population-level whole-brain connectivity analysis of resting-state FMRI.
PLoS One. 2014 Sep 4;9(9):e104947. doi: 10.1371/journal.pone.0104947. eCollection 2014.

Ray, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., Nigg, J. T., & Fair, D. A.
Structural and functional connectivity of the human brain in autism spectrum disorders and attention-deficit/hyperactivity disorder: A rich club-organization study.
Hum Brain Mapp. 2014 Dec;35(12):6032-48. doi: 10.1002/hbm.22603. Epub 2014 Aug 13.

Nielsen, J. A., Zielinski, B. A., Fletcher, P. T., Alexander, A. L., Lange, N., Bigler, E. D., Lainhart, J. E., & Anderson, J. S.
Abnormal lateralization of functional connectivity between language and default mode regions in autism.
Mol Autism. 2014 Feb 6;5(1):8. doi: 10.1186/2040-2392-5-8.

Nebel, M. B., Eloyan, A., Barber, A. D., & Mostofsky, S. H.
Precentral gyrus functional connectivity signatures of autism.
Front Syst Neurosci. 2014 May 14;8:80. doi:10.3389/fnsys.2014.00080. eCollection 2014.

Fredo, A. J., Kavitha, G., & Ramakrishnan, S.
Analysis of sub-cortical regions in cognitive processing using fuzzy c-means clustering and geometrical measure in autistic MR images.
Biomed Sci Instrum. 2014;50:140-9.

Zhou, Y., Yu, F., & Duong, T.
Multiparametric MRI characterization and prediction in autism spectrum disorder using graph theory and machine learning.
PLoS One. 2014;9(6): e90405. doi:10.1371/journal.pone.0090405. eCollection 2014.

Alaerts, K., Woolley, D. G., Steyaert, J., Di Martino, A., Swinnen, S. P., & Wenderoth, N.
Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism.
Soc Cogn Affect Neurosci. 2014 Oct;9(10):1589-600. doi: 10.1093/scan/nst156. Epub 2013 Sep 26.

Nielsen, J. A., Zielinski, B. A., Fletcher, P. T., Alexander, A. L., Lange, N., Bigler, E. D., Lainhart, J. E., & Anderson, J. S.
Multisite functional connectivity MRI classification of autism: ABIDE results.
Front Hum Neurosci. 2013 Sep 25;7:599. doi: 10.3389/fnhum.2013.00599. eCollection 2013.

Chen, C. P., Keown, C. L., & Müller, R. A.
Towards understanding autism risk factors: a classification of brain images with support vector machines.
Int. J. Semantic Computing. 2013 07:205. doi: 10.1142/S1793351X13400102

Anderson, J. S., Nielsen, J. A., Ferguson, M. A., Burback, M. C., Cox, E. T., Dai, L., Gerig, G., Edgin, J. O., & Korenberg, J. R.
Abnormal brain synchrony in Down Syndrome.
Neuroimage Clin. 2013 May 24;2:703-15. doi: 10.1016/j.nicl.2013.05.006. eCollection 2013.

Vigneshwaran, S., Mahanand, B. S., Suresh, S., & Savitha, R.
Autism spectrum disorder detection using projection based learning meta-cognitive RBF network.
Proc Int Jt Conf Neural Netw. 2013 Aug;1-8. doi:10.1109/ijcnn.2013.6706777.

Review publications discussing ABIDE in the context of large-scale data-sharing efforts

Last updated on August 1st 2016.

Book, G. A., Stevens, M. C., Assaf, M., Glahn, D. C., & Pearlson, G. D.
Neuroimaging data sharing on the neuroinformatics database platform.
Neuroimage. 2016 Jan 1;124(Pt B):1089-92. doi: 10.1016/j.neuroimage.2015.04.022. Epub 2015 Apr 16.

Rane, P., Cochran, D., Hodge, S. M., Haselgrove, C., Kennedy, D. N., & Frazier, J. A.
Connectivity in autism: A review of MRI connectivity studies.
Harv Rev Psychiatry. 2015 Jul-Aug;23(4):223-44. doi: 10.1097/HRP.0000000000000072.

Lainhart, J. E.
Brain imaging research in autism spectrum disorders: in search of neuropathology and health across the lifespan.
Curr Opin Psychiatry. 2015 Mar;28(2):76-82. doi: 10.1097/YCO.0000000000000130.

Wintermark, M., Coombs, L., Druzgal, T. J., Field, A. S., Filippi, C. G., Hicks, R., Horton, R., Lui, Y. W., Law, M., Mukherjee, P., Norbash, A., Riedy, G., Sanelli, P. C., Stone, J. R., Sze, G., Tilkin, M., Whitlow, C. T., Wilde, E. A., York, G., Provenzale, J. M.; American College of Radiology Head Injury Institute.
Traumatic brain injury imaging research roadmap.
AJNR Am J Neuroradiol. 2015 Mar;36(3):E12-23. doi: 10.3174/ajnr.A4254. Epub 2015 Feb 5.

Maximo, J. O., Cadena, E. J., & Kana, R. K.
The implications of brain connectivity in the neuropsychology of autism.
Neuropsychol Rev. 2014 Mar;24(1):16-31. doi: 10.1007/s11065-014-9250-0. Epub 2014 Feb 5.

Di Martino, A., Fair, D. A., Kelly, C., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R.C., Luna, B., Leventhal, B.L., Zuo, X.N., & Milham, M. P.
Unraveling the miswired connectome: a developmental perspective.
Neuron. 2014 Sep 17;83(6):1335-53. doi: 10.1016/j.neuron.2014.08.050.

Kana, R. K., Uddin, L. Q., Kenet, T., Chugani, D., & Müller, R. A.
Brain connectivity in autism.
Front Hum Neurosci. 2014 Jun 2;8:349. doi: 10.3389/fnhum.2014.00349. eCollection 2014.

Turner, J. A.
The rise of large-scale imaging studies in psychiatry.
Gigascience. 2014 Nov 25;3:29. doi: 10.1186/2047-217X-3-29. eCollection 2014.

Uddin, L. Q., Supekar, K., & Menon, V.
Reconceptualizing functional brain connectivity in autism from a developmental perspective.
Front Hum Neurosci. 2013 Aug 7;7:458. doi: 10.3389/fnhum.2013.00458. eCollection 2013.

Mennes, M., Biswal, B. B., Castellanos, F. X., & Milham, M. P.
Making data sharing work: The FCP/INDI experience.
Neuroimage. 2013 Nov 15;82:683-91. doi: 10.1016/j.neuroimage.2012.10.064. Epub 2012 Oct 30.