Abnormal cingulum bundle development in autism: a probabilistic tractography study
Open accessAbstract
There is now considerable evidence that white matter abnormalities play a role in the neurobiology of autism. Little research has been directed, however, at understanding (a) typical white matter development in autism and how this relates to neurocognitive impairments observed in the disorder. In this study we used probabilistic tractography to identify the cingulum bundle in 21 adolescents and young adults with Autism Spectrum Disorder (ASD), and 21 age- and sex-matched healthy volunteers. We investigated group differences in the relationships between age and fractional anisotropy, a putative measure of white matter integrity, within the cingulum bundle. Moreover, in a preliminary investigation, we examined the relationship between cingulum fractional anisotropy and executive functioning using the Behavior Rating Inventory of Executive Function (BRIEF). The ASD participants demonstrated significantly lower fractional anisotropy within the cingulum bundle compared to the typically developing volunteers. There was a significant group-by-age interaction such that the ASD group did not show the typical age-associated increases in fractional anisotropy observed among healthy individuals. Moreover, lower fractional anisotropy within the cingulum bundle was associated with worse BRIEF behavioral regulation index scores in the ASD group. The current findings implicate a dysregulation in cingulum bundle white matter development occurring in late adolescence and early adulthood in ASD, and suggest that greater disturbances in this trajectory are associated with executive dysfunction 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 ASD, cingulum FA correlations were found for behavioural regulation scores.
“Such correlations were found for behavioural regulation scores (Ikuta et al., 2014)”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Ikuta et al., 2014
In ASD studies focusing on just the cingulum, reduced FA is found.
“In those ASD studies focussing on just the cingulum, reduced FA is again found (Ameis et al., 2013; Ikuta et al., 2014)”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Ikuta et al., 2014
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
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · 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
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
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 6,806 · see citing works
Comprehensive Textbook of Psychiatry
Freedman, A. M., & Kaplan, H. I. (1967) · The American Journal of the Medical Sciences · doi:10.1097/00000441-196712000-00052 · Cited by 3,825 · see citing works
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
Development of the adolescent brain: implications for executive function and social cognition
Blakemore, S., & Choudhury, S. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01611.x · Cited by 2,328 · see citing works
TEST REVIEW behavior rating inventory of executive function.
Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000) · Child Neuropsychology · doi:10.1076/chin.6.3.235.3152 · Cited by 1,925 · see citing works
Behavior Rating Inventory for Executive Function
Gioia, G. A., Isquith, P. Κ., & Roth, R. M. (2017) · Springer eBooks · doi:10.1007/978-3-319-56782-2_1881-2 · Cited by 1,571 · see citing works
Executive dysfunction in autism☆
Hill, E. L. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.11.003 · Cited by 1,468 · see citing works
A normative‐developmental study of executive function: A window on prefrontal function in children
Welsh, M. C., Pennington, B. F., & Groisser, D. B. (1991) · Developmental Neuropsychology · doi:10.1080/87565649109540483 · Cited by 1,313 · see citing works
Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood
Lebel, C., & Beaulieu, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5302-10.2011 · Cited by 1,193 · see citing works
Kaplan and Sadock's Comprehensive Text Book of Psychiatry
Saldanha, D. (2005) · Medical Journal Armed Forces India · doi:10.1016/s0377-1237(05)80189-3 · Cited by 1,164 · see citing works
Diffusion tensor imaging of white matter tract evolution over the lifespan
Lebel, C., Gee, M., Camicioli, R., Wieler, M., Martin, W., & Beaulieu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.094 · Cited by 1,100 · see citing works
What has fMRI told us about the Development of Cognitive Control through Adolescence?
Luna, B., Padmanabhan, A., & O’Hearn, K. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.08.005 · Cited by 892 · see citing works
Barnea-Goraly, N., Menon, V., Eckert, M., Tamm, L., Bammer, R., Karchemskiy, A., Dant, C. C., & Reiss, A. L. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi062 · Cited by 848 · see citing works
Brain growth across the life span in autism: Age-specific changes in anatomical pathology
Courchesne, E., Campbell, K., & Solso, S. (2011) · Brain Research · doi:10.1016/j.brainres.2010.09.101 · Cited by 711 · see citing works
Wolff, J. J., Gu, H., Gerig, G., Elison, J. T., Styner, M., Gouttard, S., Botteron, K. N., Dager, S. R., Dawson, G., Estes, A. M., et al. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11091447 · Cited by 671 · see citing works
Autism as an executive disorder
Jarrold, C. (1997) · Oxford University Press eBooks · Cited by 662 · see citing works
Lopez, B. R., Lincoln, A. J., Ozonoff, S., & Lai, Z. (2005) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-5035-x · Cited by 603 · see citing works
Abnormalities of intrinsic functional connectivity in autism spectrum disorders
Monk, C. S., Peltier, S. J., Wiggins, J. L., Weng, S.-J., Carrasco, M., Risi, S., & Lord, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.069 · Cited by 578 · see citing works
Schumann, C. M., Bloss, C. S., Barnes, C. C., Wideman, G. M., Carper, R. A., Akshoomoff, N., Pierce, K., Hagler, D., Schork, N., Lord, C., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5714-09.2010 · Cited by 554 · see citing works
Profiles of everyday executive function in acquired and developmental disorders.
Gioia, G. A., Isquith, P. K., Kenworthy, L., & Barton, R. M. (2002) · Child Neuropsychology · doi:10.1076/chin.8.2.121.8727 · Cited by 498 · cited 1× · see citing works
“The results also converge with those of Gioia et al. (2002) who reported that individuals with ASD could be distinguished from other groups with similar phenomenology, including those with traumatic brain injury and ADHD, by deficits in flexibility.”
Diffusion tensor imaging in autism spectrum disorder: a review
Travers, B. G., Adluru, N., Ennis, C., Tromp, D. P. M., Destiche, D., Doran, S., Bigler, E. D., Lange, N., Lainhart, J. E., & Alexander, A. L. (2012) · Autism Research · doi:10.1002/aur.1243 · Cited by 450 · see citing works
Atypical neural self-representation in autism.
Lombardo, M., Chakrabarti, B., Bullmore, E., Sadek, S. A., Pasco, G., Wheelwright, S., Suckling, J., Henty, J., & Baron-Cohen, S. (2010) · Brain : a journal of neurology · doi:10.1093/brain/awp306 · Cited by 375 · see citing works
A longitudinal study of executive function and theory of mind development in autism
Ozonoff, S. J., & McEvoy, R. E. (1994) · Development and Psychopathology · doi:10.1017/s0954579400006027 · Cited by 375 · see citing works
Thakkar, K. N., Polli, F. E., Joseph, R. M., Tuch, D. S., Hadjikhani, N., Barton, J. J. S., & Manoach, D. S. (2008) · Brain · doi:10.1093/brain/awn099 · Cited by 367 · see citing works
Accelerated maturation of white matter in young children with autism: A high b value DWI study
Ben Bashat, D., Kronfeld-Duenias, V., Zachor, D. A., Ekstein, P. M., Hendler, T., Tarrasch, R., Even, A., Levy, Y., & Ben Sira, L. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.060 · Cited by 300 · see citing works
Language, social, and executive functions in high functioning Autism: a continuum of performance
Landa, R. J., & Goldberg, M. C. (2005) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0001-1 · Cited by 296 · see citing works
Predictive models of autism spectrum disorder based on brain regional cortical thickness
Jiao, Y., Chen, R., Ke, X., Chu, K., Lu, Z., & Herskovits, E. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.047 · Cited by 250 · see citing works
Abnormal white matter integrity in young children with autism
Weinstein, M., Ben‐Sira, L., Levy, Y., Zachor, D. A., Itzhak, E. B., Artzi, M., Tarrasch, R., Eksteine, P. M., Hendler, T., & Bashat, D. B. (2010) · Human Brain Mapping · doi:10.1002/hbm.21042 · Cited by 242 · see citing works
Atypical development of white matter microstructure in adolescents with autism spectrum disorders
Cheng, Y., Chou, K., Chen, I.-Y., Fan, Y., Decety, J., & Lin, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.011 · Cited by 239 · see citing works
The Neural Circuitry Mediating Shifts in Behavioral Response and Cognitive Set in Autism
Shafritz, K. M., Dichter, G. S., Baranek, G. T., & Belger, A. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.028 · Cited by 206 · see citing works
Self-citationWhite Matter Development in Adolescence: Diffusion Tensor Imaging and Meta-Analytic Results
Peters, B. D., Szeszko, P. R., Raduà, J., Ikuta, T., Gruner, P., DeRosse, P., Zhang, J., Giorgio, A., Qiu, D., Tapert, S. F., et al. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs054 · Cited by 203 · see citing works
Self-citationEnhanced Salience and Emotion Recognition in Autism: A PET Study
Hall, G. B., Szechtman, H., & Nahmias, C. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.8.1439 · Cited by 191 · see citing works
Cauda, F., Geda, E., Sacco, K., D’Agata, F., Duca, S., Geminiani, G. C., & Keller, R. (2011) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.239111 · Cited by 186 · see citing works
Noriuchi, M., Kikuchi, Y., Yoshiura, T., Kira, R., Shigeto, H., Hara, T., Tobimatsu, S., & Kamio, Y. (2010) · Brain Research · doi:10.1016/j.brainres.2010.09.051 · Cited by 182 · see citing works
The Development of Executive Function in Autism
Pellicano, E. (2012) · Autism Research and Treatment · doi:10.1155/2012/146132 · Cited by 181 · see citing works
Towards an executive dysfunction account of repetitive behaviour in autism
Turner, M. (2015) · Oxford University Press eBooks · doi:10.1093/med:psych/9780198523499.003.0003 · Cited by 156 · see citing works
Jou, R. J., Mateljevic, N., Kaiser, M. D., Sugrue, D. R., Volkmar, F. R., & Pelphrey, K. A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2558 · Cited by 118 · see citing works
Mengotti, P., D’Agostini, S., Terlević, R., Colle, C. D., Biasizzo, E., Londero, D., Ferro, A., Rambaldelli, G., Balestrieri, M., Zanini, S., et al. (2010) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2010.12.002 · Cited by 83 · see citing works
Barttfeld, P., Wicker, B., Cukier, S., Navarta, S., Lew, S., Leiguarda, R. C., & Sigman, M. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.09.047 · Cited by 79 · see citing works
Bolling, D. Z., Pitskel, N. B., Deen, B., Crowley, M. J., McPartland, J. C., Kaiser, M. D., Wyk, B. C. V., Wu, J., Mayes, L. C., & Pelphrey, K. A. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.02.002 · Cited by 78 · see citing works
Age-related abnormalities in white matter microstructure in autism spectrum disorders
Kleinhans, N. M., Pauley, G., Richards, T. L., Neuhaus, E., Martin, N., Corrigan, N. M., Shaw, D., Estes, A. M., & Dager, S. R. (2012) · Brain Research · doi:10.1016/j.brainres.2012.07.056 · Cited by 73 · see citing works
Brain growth rate abnormalities visualized in adolescents with autism
Hua, X., Thompson, P. M., Leow, A., Madsen, S. K., Caplan, R., Alger, J. R., O’Neill, J., Joshi, K., Smalley, S. L., Toga, A. W., et al. (2011) · Human Brain Mapping · doi:10.1002/hbm.21441 · Cited by 72 · see citing works
White matter and development in children with an autism spectrum disorder
Mak‐Fan, K. M., Morris, D., Vidal, J., Anagnostou, E. A., Roberts, W., & Taylor, M. J. (2012) · Autism · doi:10.1177/1362361312442596 · Cited by 49 · see citing works
Fractional anisotropy distributions in 2‐ to 6‐year‐old children with autism
Cascio, C. J., Gribbin, M., Gouttard, S., Smith, R. G., Jomier, M., Field, S., Graves, M. M., Hazlett, H. C., Muller, K. E., Gerig, G., et al. (2012) · Journal of Intellectual Disability Research · doi:10.1111/j.1365-2788.2012.01599.x · Cited by 20 · see citing works
Flagged first, then by citations
1 of the 48 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“Such correlations were found for behavioural regulation scores (Ikuta et al., 2014), consistent with executive dysfunctions, though other studies have failed to find clear cingulum correlations (Rane et al.”
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
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
“depression [110, 239], obsessive-compulsive disorder (OCD) [64, 81, 156, 175, 238], attention-deficit hyperactivity disorder (ADHD) [62, 63, 107, 201] and autism [209, 247, 445, 537].”
BackgroundAmeis, S. H., & Catani, M. (2015) · Cortex · doi:10.1016/j.cortex.2014.10.014 · Cited by 301 · see citing works
Allen, J. L., Oberdorster, G., Morris-Schaffer, K., Wong, C., Klocke, C., Sobolewski, M., Conrad, K., Mayer-Proschel, M., & Cory-Slechta, D. A. (2017) · NeuroToxicology · doi:10.1016/j.neuro.2015.12.014 · Cited by 241 · see citing works
Brief report: Cognitive flexibility in autism spectrum disorders: A quantitative review
Leung, R. C., & Zakzanis, K. K. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2136-4 · Cited by 192 · see citing works
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 174 · 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
Role of Oligodendrocytes and Myelin in the Pathophysiology of Autism Spectrum Disorder
Gálvez‐Contreras, A. Y., Zárate-López, D., Torres-Chávez, A. L., & González-Pérez, Ó. (2020) · Brain Sciences · doi:10.3390/brainsci10120951 · Cited by 125 · 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
Studying Autism Spectrum Disorder with Structural and Diffusion Magnetic Resonance Imaging: A Survey
Ismail, M. M. T., Keynton, R. S., Mostapha, M., Eltanboly, A. H., Casanova, M. F., Gimel’farb, G., & El-Baz, A. S. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00211 · Cited by 100 · see citing works
Hampton, W. H., Hanik, I. M., & Olson, I. R. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.02.005 · Cited by 95 · see citing works
Jung, M., Tu, Y., Lang, C., Ortiz, A., Park, J., Jorgenson, K., Kong, X., & Kong, J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.031 · Cited by 86 · see citing works
McLean, R. L., Harrison, A. J., Zimak, E. H., Joseph, R. M., & Morrow, E. M. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.05.019 · Cited by 69 · see citing works
A review of executive functioning challenges and strengths in autistic adults
John, T. S., Woods, S. E. O., Bode, T., Ritter, C., & Estes, A. M. (2021) · The Clinical Neuropsychologist · doi:10.1080/13854046.2021.1971767 · Cited by 67 · see citing works
Conti, E., Mitra, J., Calderoni, S., Pannek, K., Shen, K., Pagnozzi, A. M., Rose, S., Mazzotti, S., Scelfo, D., Tosetti, M., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23520 · Cited by 62 · see citing works
Chiang, H.-L., Chen, Y.-J., Shang, C.-Y., Tseng, W.-Y. I., & Gau, S. S.-F. (2016) · Psychological Medicine · doi:10.1017/s0033291715002767 · Cited by 62 · see citing works
Zhang, X., Yang, M., Du, X., Liao, W., Chen, D., Fan, F., Xiu, M., Jia, Q., Ning, Y., Huang, X., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0478-1 · Cited by 59 · see citing works
Three Decades of Valproate: A Current Model for Studying Autism Spectrum Disorder
Zárate-López, D., Torres-Chávez, A. L., Gálvez‐Contreras, A. Y., & González-Pérez, Ó. (2023) · Current Neuropharmacology · doi:10.2174/1570159x22666231003121513 · Cited by 56 · see citing works
Tunç, B., Yankowitz, L., Parker, D., Alappatt, J. A., Pandey, J., Schultz, R., & Verma, R. (2019) · Molecular Autism · doi:10.1186/s13229-019-0301-5 · Cited by 47 · see citing works
The cingulum and cingulate U‐fibers in children and adolescents with autism spectrum disorders
Hau, J., Aljawad, S., Baggett, N., Fishman, I., Carper, R. A., & Müller, R. (2019) · Human Brain Mapping · doi:10.1002/hbm.24586 · Cited by 47 · see citing works
The human cingulum: From the limbic tract to the connectionist paradigm
Maldonado, I. L., de Matos, V. P., Cuesta, T. A. C., Herbet, G., & Destrieux, C. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107487 · Cited by 47 · see citing works
Albein‐Urios, N., Youssef, G. J., Kirkovski, M., & Enticott, P. G. (2018) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3503-3 · Cited by 45 · see citing works
Fitzgerald, J., Leemans, A., Kehoe, E. G., O’Hanlon, E., Gallagher, L., & McGrath, J. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13655 · Cited by 40 · see citing works
The cingulum as a marker of individual differences in neurocognitive development
Bathelt, J., Johnson, A., Zhang, M., Astle, D. E., & Astle, D. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-38894-z · Cited by 42 · see citing works
Simard, I., Luck, D., Mottron, L., Zeffiro, T. A., & Soulières, I. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.09.007 · Cited by 40 · see citing works
Kenworthy, L. E., Verbalis, A. D., Bascom, J., daVanport, S., Strang, J. F., Pugliese, C. E., Freeman, A. J., Jeppsen, C., Armour, A. C., Jost, G. M., et al. (2021) · Autism · doi:10.1177/13623613211029117 · Cited by 40 · see citing works
Blaylock, R. L., Strunecká, A., Patočka, J., & Strunecký, O. (2018) · Surgical Neurology International · doi:10.4103/sni.sni_407_17 · Cited by 35 · see citing works
Chien, H.-Y. S., Gau, S. S., & Tseng, W. I. (2016) · Autism Research · doi:10.1002/aur.1607 · Cited by 33 · see citing works
Karahanoğlu, F. I., Baran, B., Nguyen, Q. T. H., Meskaldji, D. E., Yendiki, A., Vangel, M. G., Santangelo, S. L., & Manoach, D. S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.06.002 · Cited by 29 · see citing works
Brenner, R., Smyser, C. D., Lean, R. E., Kenley, J. K., Smyser, T. A., Cyr, P. E. P., Shimony, J. S., Barch, D. M., & Rogers, C. E. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.015 · Cited by 28 · see citing works
Chiang, H., Chen, Y., Lin, H., Tseng, W. I., & Gau, S. S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23367 · Cited by 29 · see citing works
Hattori, A., Kamagata, K., Kirino, E., Andica, C., Tanaka, S., Hagiwara, A., Fujita, S., Maekawa, T., Irie, R., Kumamaru, K. K., et al. (2019) · Neuroradiology · doi:10.1007/s00234-019-02238-5 · Cited by 24 · see citing works
Far and wide: Associations between childhood socio-economic status and brain connectomics
Johnson, A., Bathelt, J., Akarca, D., Crickmore, G., & Astle, D. E. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100888 · Cited by 24 · see citing works
Voorhies, W. I., Dajani, D. R., Vij, S. G., Shankar, S., Turan, T. O., & Uddin, L. Q. (2018) · Autism Research · doi:10.1002/aur.2014 · Cited by 24 · see citing works
Gupta, S., Rajapakse, J. C., & Welsch, R. E. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102186 · Cited by 22 · see citing works
Machine Learning and rs-fMRI to Identify Potential Brain Regions Associated with Autism Severity
Rodrigues, I. D., Carvalho, E., Santana, C. P., & Bastos, G. S. (2022) · Algorithms · doi:10.3390/a15060195 · Cited by 18 · see citing works
Baumer, F. M., Song, J. W., Mitchell, P. D., Pienaar, R., Şahin, M., Grant, P. E., & Takahashi, E. (2015) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2015.02.004 · Cited by 18 · see citing works
Sudre, G. P., Bouyssi-Kobar, M., Norman, L. J., Sharp, W. S., Choudhury, S., & Shaw, P. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.007 · Cited by 18 · see citing works
Stephens, K., Silk, T. J., Anderson, V. A., Hazell, P., Enticott, P. G., & Sciberras, E. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04738-3 · Cited by 15 · see citing works
Kong, X. (2014) · PeerJ · doi:10.7717/peerj.366 · Cited by 14 · see citing works
Fu, L., Li, C., Li, Y., Cheng, X., Cui, X., Jiang, J., Ding, N., Fang, H., Tang, T., & Ke, X. (2022) · Autism Research · doi:10.1002/aur.2686 · Cited by 13 · see citing works
REM Sleep EEG Activity and Clinical Correlates in Adults With Autism
Gagnon, K., Bolduc, C., Bastien, L., & Godbout, R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.659006 · Cited by 13 · see citing works
Martínez, K., Merchán‐Naranjo, J., Pina‐Camacho, L., Alemán‐Gómez, Y., Boada, L., Fraguas, D., Moreno, C., Arango, C., Janssen, J., & Parellada, M. (2017) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-017-0990-2 · Cited by 12 · see citing works
Solomon, M., Hogeveen, J., Libero, L. E., & Nordahl, C. W. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.06.002 · Cited by 12 · see citing works
Blume, J., Kahathuduwa, C. N., & Mastergeorge, A. M. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05460-y · Cited by 11 · see citing works
A CAD system for early diagnosis of autism using different imaging modalities.
Ismail, M. (2016) · doi:10.18297/etd/2599 · Cited by 7 · see citing works
Mihăilescu, I., Andrei, L. E., Frunza, A. A., Manea, M., & Rad, F. (2022) · Brain Sciences · doi:10.3390/brainsci12081069 · Cited by 6 · see citing works
Ji, J., & Wang, X. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.111049 · Cited by 4 · see citing works
Wang, J., Kawata, N. Y. S., Cao, X., Zhang, J., Fujisawa, T. X., Zhang, X., Fan, L., Xia, W., Wu, L., & Tomoda, A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121109 · Cited by 4 · see citing works
Blanchett, R., Chen, H., Vlasova, R., Cornea, E. A., Maza, M. T., Davenport, M. L., Reinhartsen, D. B., DeRamus, M., Pretzel, R. E., Gilmore, J. H., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae351 · Cited by 2 · see citing works
Hagihara, H., Koshimizu, H., Hattori, S., Shoji, H., Tanaka, M., Ikeda, K., & Miyakawa, T. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02237-6 · Cited by 2 · see citing works
Data-driven brain-types and their cognitive consequencesPreprint
Bathelt, J., Johnson, A., Zhang, M., the CALM team, & Astle, D. E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/237859 · Cited by 2 · see citing works
Clinical Case of Successful Therapy for the Patient with Autism by use of Fetal Stem Cells
Sinelnyk, A., Shmyh, S. G., Matiyashchuk, I. G., Klunnyk, M. O., Demchuk, M., Ivankova, O. V., Honza, O. O., Susak, I. A., Skalozub, M., Vatlitsov, D. V., et al. (2024) · Journal of Stem Cell Therapy and Transplantation · doi:10.29328/journal.jsctt.1001043 · Cited by 1 · see citing works
N170 decoding response to Duchenne smile face in autism spectrum disorder children
Ferrer-Álvarez, R., Hidalgo, M., Perteguer, J. A., & Ortiz, T. (2025) · Current Psychology · doi:10.1007/s12144-025-07880-2 · Cited by 1 · see citing works
Luo, D., Zhao, C., Nie, L., Yin, Y., Liu, X., Yu, H., Wang, F., Chen, H., & Liu, H. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.01.018 · Cited by 1 · see citing works
White matter microstructure in autism
Connaughton, M., O’Hanlon, E., & McGrath, J. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-816393-1.00012-9 · Cited by 1 · see citing works
Structural connectivity of the brain in autism spectrum disorder
Gibbard, C. R. (2016) · UCL Discovery (University College London)
An empirical evaluation of executive function in Autism Spectrum Disorder
Demetriou, E. (2018) · The Sydney eScholarship Repository (The University of Sydney)
Bookheimer, S. Y. (2017) · Springer eBooks · doi:10.1007/978-1-4614-6435-8_201-3
Bookheimer, S. Y. (2021) · Springer eBooks · doi:10.1007/978-3-319-91280-6_201
Genetic networks suggest Asperger’s Syndrome as a distinct subtype of Autism Spectrum ConditionsPreprint
Dmytriw, A. A., Naveed, S., Ghozy, S. A., & Morsy, S. (2023) · medRxiv · doi:10.1101/2023.09.21.23295892
Zhong, T., Wang, F. H., Qiu, J., & Lu, W. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-02173-y
d’Albis, M.-A. (2020) · theses.fr (ABES) · doi:10.70675/206f79f9z2fd3z499fz9abdz096c72713a99
Quantitative Anisotropy of the White Matter Microstructure Underlying Language Tracts in Autism
Smitha, K. A., Beckerson, M. E., Yeh, F.-C. F., & Kana, R. K. (2026) · Brain Connectivity · doi:10.1177/21580014261479964
Zhang, H., Zhao, J., Wu, S., Szigeti, K., Miklós, K., Sun, J., & Qiao, J. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.10.035
- Authors
- Ikuta, T., Shafritz, K. M., Bregman, J., Peters, B. D., Gruner, P., Malhotra, A. K., & Szeszko, P. R.
- Affiliations
- Northwell Health (US)
- Feinstein Institute for Medical Research (US)
- Yale University (US)
- Corresponding author
- Ikuta, Toshikazu
- Venue
- Psychiatry Research: Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 221
- Issue
- 1
- Pages
- 63-68
- ISSN
- 0925-4927 (ISSN-L)
- PMC
- PMC3918471
- OpenAlex
- W2005387911
- Cited by
- 69
- References
- 48
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 4 · 2020: 8 · 2019: 6 · 2018: 6 · 2017: 9 · 2016: 6 · 2015: 5 · 2014: 7
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (T32MH062994)
- National Center for Research Resources (M01RR018535)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, cingulum, white matter development, fractional anisotropy, white matter integrity, executive dysfunction, behavioral regulation, age-related changes, adolescents and young adults
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Child, Child Development Disorders, Pervasive, Female, Humans, Male, Nerve Fibers, Myelinated, Neuropsychological Tests, Psychiatric Status Rating Scales, Socioeconomic Factors, Case-Control Studies, Anisotropy, Young Adult, Diffusion Tensor Imaging, Executive Function
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