Abstract
Restricted, repetitive behavior (RRB) involves sequences of responding with little variability and no obvious function. RRB is diagnostic for autism spectrum disorder (ASD) and a significant feature in several neurodevelopmental disorders. Despite its clinical importance, relatively little is known about how RRB is mediated by broader neural circuits. In this study, we employed ultra-high field (17.6 Tesla) magnetic resonance imaging (MRI) to study the C58/J mouse model of RRB. We determined alterations in brain morphology and connectivity of C58/J mice and their relationship to repetitive motor behavior using structural MRI and diffusion tensor imaging (DTI). Compared to the genetically similar C57BL/6 control mouse strain, C58/J mice showed evidence of structural alterations in basal ganglia and cerebellar networks. In particular, C58/J mice exhibited reduced volumes of key cortical and basal ganglia regions that have been implicated in repetitive behavior, including motor cortex, striatum, globus pallidus, and subthalamic nucleus, as well as volume differences in the cerebellum. Moreover, DTI revealed differences in fractional anisotropy and axial diffusivity in cerebellar white matter of C58/J mice. Importantly, we found that RRB exhibited by C58/J mice was correlated with volume of the striatum, subthalamic nucleus, and crus II of the cerebellum. These regions are key nodes in circuits connecting the basal ganglia and cerebellum and our findings implicate their role in RRB, particularly the indirect pathway.
Similar content being viewed by others
References
Allemang-Grand, R., Ellegood, J., Spencer Noakes, L., Ruston, J., Justice, M., Nieman, B. J., & Lerch, J. P. (2017). Neuroanatomy in mouse models of Rett syndrome is related to the severity of Mecp2 mutation and behavioral phenotypes. Molecular Autism, 8, 32. https://doi.org/10.1186/s13229-017-0138-8.
Amodeo, D. A., Jones, J. H., Sweeney, J. A., & Ragozzino, M. E. (2012). Differences in BTBR T+ tf/J and C57BL/6J mice on probabilistic reversal learning and stereotyped behaviors. Behavioural Brain Research, 227(1), 64–72. https://doi.org/10.1016/j.bbr.2011.10.032.
Ashburner, J., Hutton, C., Frackowiak, R., Johnsrude, I., Price, C., & Friston, K. (1998). Identifying global anatomical differences: Deformation-based morphometry. Human Brain Mapping, 6(5–6), 348–357.
Avants, B. B., Yushkevich, P., Pluta, J., Minkoff, D., Korczykowski, M., Detre, J., & Gee, J. C. (2010). The optimal template effect in hippocampus studies of diseased populations. NeuroImage, 49(3), 2457–2466. https://doi.org/10.1016/j.neuroimage.2009.09.062.
Baup, N., Grabli, D., Karachi, C., Mounayar, S., François, C., Yelnik, J., et al. (2008). High-frequency stimulation of the anterior subthalamic nucleus reduces stereotyped behaviors in primates. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 28(35), 8785–8788. https://doi.org/10.1523/JNEUROSCI.2384-08.2008.
Bechard, A. (2012). Modeling restricted repetitive behavior in animals. Autism- Open Access, 01(S1). https://doi.org/10.4172/2165-7890.S1-006.
Bechard, A. R., Cacodcar, N., King, M. A., & Lewis, M. H. (2016). How does environmental enrichment reduce repetitive motor behaviors? Neuronal activation and dendritic morphology in the indirect basal ganglia pathway of a mouse model. Behavioural Brain Research, 299, 122–131. https://doi.org/10.1016/j.bbr.2015.11.029.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300.
Bernal-Casas D., Lee H.J., Weitz, A.J., Lee, J.H. (2017). Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI. Neuron, 93(3), 522-532. https://doi.org/10.1016/j.neuron.2016.12.035.
Bodfish, J. W., Symons, F. J., Parker, D. E., & Lewis, M. H. (2000). Varieties of repetitive behavior in autism: Comparisons to mental retardation. Journal of Autism and Developmental Disorders, 30(3), 237–243.
Bostan, A. C., Dum, R. P., & Strick, P. L. (2010). The basal ganglia communicate with the cerebellum. Proceedings of the National Academy of Sciences of the United States of America, 107(18), 8452–8456. https://doi.org/10.1073/pnas.1000496107.
Cheung, C., Chua, S. E., Cheung, V., Khong, P. L., Tai, K. S., Wong, T. K. W., Ho, T. P., & McAlonan, G. M. (2009). White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 50(9), 1102–1112. https://doi.org/10.1111/j.1469-7610.2009.02086.x.
Chou, N., Wu, J., Bai Bingren, J., Qiu, A., & Chuang, K.-H. (2011). Robust automatic rodent brain extraction using 3-D pulse-coupled neural networks (PCNN). IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 20(9), 2554–2564. https://doi.org/10.1109/TIP.2011.2126587.
D’Mello, A. M., Crocetti, D., Mostofsky, S. H., & Stoodley, C. J. (2015). Cerebellar gray matter and lobular volumes correlate with core autism symptoms. NeuroImage. Clinical, 7, 631–639. https://doi.org/10.1016/j.nicl.2015.02.007.
Dodero, L., Damiano, M., Galbusera, A., Bifone, A., Tsaftsaris, S. A., Scattoni, M. L., & Gozzi, A. (2013). Neuroimaging evidence of major morpho-anatomical and functional abnormalities in the BTBR T+TF/J mouse model of autism. PLoS One, 8(10), e76655. https://doi.org/10.1371/journal.pone.0076655.
Ellegood, J., Babineau, B. A., Henkelman, R. M., Lerch, J. P., & Crawley, J. N. (2013). Neuroanatomical analysis of the BTBR mouse model of autism using magnetic resonance imaging and diffusion tensor imaging. NeuroImage, 70, 288–300. https://doi.org/10.1016/j.neuroimage.2012.12.029.
Ellegood, J., Anagnostou, E., Babineau, B. A., Crawley, J. N., Lin, L., Genestine, M., DiCicco-Bloom, E., Lai, J. K. Y., Foster, J. A., Peñagarikano, O., Geschwind, D. H., Pacey, L. K., Hampson, D. R., Laliberté, C. L., Mills, A. A., Tam, E., Osborne, L. R., Kouser, M., Espinosa-Becerra, F., Xuan, Z., Powell, C. M., Raznahan, A., Robins, D. M., Nakai, N., Nakatani, J., Takumi, T., van Eede, M. C., Kerr, T. M., Muller, C., Blakely, R. D., Veenstra-VanderWeele, J., Henkelman, R. M., & Lerch, J. P. (2015). Clustering autism: Using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity. Molecular Psychiatry, 20(1), 118–125. https://doi.org/10.1038/mp.2014.98.
Estes, A., Shaw, D.W., Sparks, B.F., Friedman, S., Giedd, J.N., Dawson, G., Bryan, M., Dager, S.R. (2011). Basal ganglia morphometry and repetitive behavior in young children with autism spectrum disorder. Autism Research, 4(3), 212–220. https://doi.org/10.1002/aur.193.
Frydman, I., de Salles Andrade, J. B., Vigne, P., & Fontenelle, L. F. (2016). Can neuroimaging provide reliable biomarkers for obsessive-compulsive disorder? A narrative review. Current Psychiatry Reports, 18(10), 90. https://doi.org/10.1007/s11920-016-0729-7.
Geschwind, D. H. (2011). Genetics of autism spectrum disorders. Trends in Cognitive Sciences, 15(9), 409–416. https://doi.org/10.1016/j.tics.2011.07.003.
Haberl, M.G., Zerbi, V., Veltien, A., Ginger M., Heerschap, A., Frick, A. (2015). Structural-functional connectivity deficits of neocortical circuits in the Fmr1 (-/y) mouse model of autism. Science Advances 1(10): e1500775. https://doi.org/10.1126/sciadv.1500775.
Hintiryan, H., Foster, N. N., Bowman, I., Bay, M., Song, M. Y., Gou, L., Yamashita, S., Bienkowski, M. S., Zingg, B., Zhu, M., Yang, X. W., Shih, J. C., Toga, A. W., & Dong, H.-W. (2016). The mouse cortico-striatal projectome. Nature Neuroscience, 19(8), 1100–1114. https://doi.org/10.1038/nn.4332.
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782–790. https://doi.org/10.1016/j.neuroimage.2011.09.015.
Langen, M., Leemans, A., Johnston, P., Ecker, C., Daly, E., Murphy, C. M., Dell'acqua, F., Durston, S., AIMS Consortium, & Murphy, D. G. M. (2012). Fronto-striatal circuitry and inhibitory control in autism: Findings from diffusion tensor imaging tractography. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 48(2), 183–193. https://doi.org/10.1016/j.cortex.2011.05.018.
Lee, H. J., Weitz, A. J., Bernal-Casas, D., Duffy, B. A., Choy, M., Kravitz, A. V., Kreitzer, A. C., & Lee, J. H. (2016). Activation of direct and indirect pathway medium spiny neurons drives distinct brain-wide responses. Neuron, 91(2), 412–424. https://doi.org/10.1016/j.neuron.2016.06.010.
Moss, J., Oliver, C., Arron, K., Burbidge, C., & Berg, K. (2009). The prevalence and phenomenology of repetitive behavior in genetic syndromes. Journal of Autism and Developmental Disorders, 39(4), 572–588. https://doi.org/10.1007/s10803-008-0655-6.
Moy, S. S., Nadler, J. J., Young, N. B., Nonneman, R. J., Segall, S. K., Andrade, G. M., Crawley, J. N., & Magnuson, T. R. (2008). Social approach and repetitive behavior in eleven inbred mouse strains. Behavioural Brain Research, 191(1), 118–129. https://doi.org/10.1016/j.bbr.2008.03.015.
Moy, S. S., Riddick, N. V., Nikolova, V. D., Teng, B. L., Agster, K. L., Nonneman, R. J., Young, N. B., Baker, L. K., Nadler, J. J., & Bodfish, J. W. (2014). Repetitive behavior profile and supersensitivity to amphetamine in the C58/J mouse model of autism. Behavioural Brain Research, 259, 200–214. https://doi.org/10.1016/j.bbr.2013.10.052.
Muehlmann, A. M., Edington, G., Mihalik, A. C., Buchwald, Z., Koppuzha, D., Korah, M., & Lewis, M. H. (2012). Further characterization of repetitive behavior in C58 mice: Developmental trajectory and effects of environmental enrichment. Behavioural Brain Research, 235(2), 143–149. https://doi.org/10.1016/j.bbr.2012.07.041.
Portmann, T., Yang, M., Mao, R., Panagiotakos, G., Ellegood, J., Dolen, G., Bader, P. L., Grueter, B. A., Goold, C., Fisher, E., Clifford, K., Rengarajan, P., Kalikhman, D., Loureiro, D., Saw, N. L., Zhengqui, Z., Miller, M. A., Lerch, J. P., Henkelman, R. M., Shamloo, M., Malenka, R. C., Crawley, J. N., & Dolmetsch, R. E. (2014). Behavioral abnormalities and circuit defects in the basal ganglia of a mouse model of 16p11.2 deletion syndrome. Cell Reports, 7(4), 1077–1092. https://doi.org/10.1016/j.celrep.2014.03.036.
Pujol, J., Blanco-Hinojo, L., Esteba-Castillo, S., Caixàs, A., Harrison, B. J., Bueno, M., Deus, J., Rigla, M., Macià, D., Llorente-Onaindia, J., & Novell-Alsina, R. (2016). Anomalous basal ganglia connectivity and obsessive-compulsive behaviour in patients with Prader Willi syndrome. Journal of Psychiatry & Neuroscience: JPN, 41(4), 261–271.
Rojas, D. C., Peterson, E., Winterrowd, E., Reite, M. L., Rogers, S. J., & Tregellas, J. R. (2006). Regional gray matter volumetric changes in autism associated with social and repetitive behavior symptoms. BMC Psychiatry, 6, 56. https://doi.org/10.1186/1471-244X-6-56.
Ryan, B. C., Young, N. B., Crawley, J. N., Bodfish, J. W., & Moy, S. S. (2010). Social deficits, stereotypy and early emergence of repetitive behavior in the C58/J inbred mouse strain. Behavioural Brain Research, 208(1), 178–188. https://doi.org/10.1016/j.bbr.2009.11.031.
Sforazzini, F., Bertero, A., Dodero, L., David, G., Galbusera, A., Scattoni, M. L., Pasqualetti, M., & Gozzi, A. (2016). Altered functional connectivity networks in acallosal and socially impaired BTBR mice. Brain Structure & Function, 221(2), 941–954. https://doi.org/10.1007/s00429-014-0948-9.
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998). A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Transactions on Medical Imaging, 17(1), 87–97. https://doi.org/10.1109/42.668698.
Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44(1), 83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061.
Steadman, P. E., Ellegood, J., Szulc, K. U., Turnbull, D. H., Joyner, A. L., Henkelman, R. M., & Lerch, J. P. (2014). Genetic effects on cerebellar structure across mouse models of autism using a magnetic resonance imaging atlas. Autism Research: Official Journal of the International Society for Autism Research, 7(1), 124–137. https://doi.org/10.1002/aur.1344.
Tanimura, Y., Vaziri, S., & Lewis, M. H. (2010). Indirect basal ganglia pathway mediation of repetitive behavior: Attenuation by adenosine receptor agonists. Behavioural Brain Research, 210(1), 116–122. https://doi.org/10.1016/j.bbr.2010.02.030.
Tanimura, Y., King, M. A., Williams, D. K., & Lewis, M. H. (2011). Development of repetitive behavior in a mouse model: Roles of indirect and striosomal basal ganglia pathways. International Journal of Developmental Neuroscience: The Official Journal of the International Society for Developmental Neuroscience, 29(4), 461–467. https://doi.org/10.1016/j.ijdevneu.2011.02.004.
Thakkar, K. N., Polli, F. E., Joseph, R. M., Tuch, D. S., Hadjikhani, N., Barton, J. J. S., & Manoach, D. S. (2008). Response monitoring, repetitive behaviour and anterior cingulate abnormalities in autism spectrum disorders (ASD). Brain: A Journal of Neurology, 131(Pt 9), 2464–2478. https://doi.org/10.1093/brain/awn099.
Traynor, J. M., Doyle-Thomas, K. A. R., Hanford, L. C., Foster, N. E., Tryfon, A., Hyde, K. L., et al. (2018). Indices of repetitive behaviour are correlated with patterns of intrinsic functional connectivity in youth with autism spectrum disorder. Brain Research, 1685, 79–90. https://doi.org/10.1016/j.brainres.2018.02.009.
Turner, A.H., Greenspan K.S., van Erp T.G.M. (2016). Pallidum and lateral ventricle volume enlargement in autism spectrum disorder. Psychiatry Research: Neuroimaging, 252, 40–45. https://doi.org/10.1016/j.pscychresns.2016.04.003.
Tustison, N. J., Avants, B. B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010). N4ITK: Improved N3 bias correction. IEEE Transactions on Medical Imaging, 29(6), 1310–1320. https://doi.org/10.1109/TMI.2010.2046908.
Ullmann, J. F. P., Keller, M. D., Watson, C., Janke, A. L., Kurniawan, N. D., Yang, Z., Richards, K., Paxinos, G., Egan, G. F., Petrou, S., Bartlett, P., Galloway, G. J., & Reutens, D. C. (2012). Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images. NeuroImage, 62(3), 1408–1414. https://doi.org/10.1016/j.neuroimage.2012.05.061.
Ullmann, J. F. P., Watson, C., Janke, A. L., Kurniawan, N. D., Paxinos, G., & Reutens, D. C. (2014). An MRI atlas of the mouse basal ganglia. Brain Structure & Function, 219(4), 1343–1353. https://doi.org/10.1007/s00429-013-0572-0.
Watson, C., Janke, A. L., Hamalainen, C., Bagheri, S. M., Paxinos, G., Reutens, D. C., & Ullmann, J. F. P. (2017). An ontologically consistent MRI-based atlas of the mouse diencephalon. NeuroImage, 157, 275–287. https://doi.org/10.1016/j.neuroimage.2017.05.057.
Whitehouse, C. M., Curry-Pochy, L. S., Shafer, R., Rudy, J., & Lewis, M. H. (2017). Reversal learning in C58 mice: Modeling higher order repetitive behavior. Behavioural Brain Research, 332, 372–378. https://doi.org/10.1016/j.bbr.2017.06.014.
Wilkes, B. J., & Lewis, M. H. (2018). The neural circuitry of restricted repetitive behavior: Magnetic resonance imaging in neurodevelopmental disorders and animal models. Neuroscience and Biobehavioral Reviews, 92, 152–171. https://doi.org/10.1016/j.neubiorev.2018.05.022.
Wolff, J. J., Swanson, M. R., Elison, J. T., Gerig, G., Pruett, J. R., Styner, M. A., et al. (2017). Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism. Molecular Autism, 8, 8. https://doi.org/10.1186/s13229-017-0126-z.
Worbe, Y., Marrakchi-Kacem, L., Lecomte, S., Valabregue, R., Poupon, F., Guevara, P., Tucholka, A., Mangin, J. F., Vidailhet, M., Lehericy, S., Hartmann, A., & Poupon, C. (2015). Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome. Brain: A Journal of Neurology, 138(Pt 2), 472–482. https://doi.org/10.1093/brain/awu311.
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage, 31(3), 1116–1128. https://doi.org/10.1016/j.neuroimage.2006.01.015.
Acknowledgements
The authors thank Dr. Luis M. Colon-Perez for assistance with preparing and testing the pulse sequence parameters for anatomical and diffusion imaging at 17.6 Tesla. Authors acknowledge support from the National High Magnetic Field Laboratory’s Advanced Magnetic Resonance Imaging & Spectroscopy (AMRIS) Facility (National Science Foundation Cooperative Agreement No. DMR-1157490 and the State of Florida)..
Funding
Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work was also supported by the American Psychological Association Dissertation Research Award [AGR DTD 12-14-2016].
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
None of the authors have potential conflicts of interest to be disclosed.
Ethical approval
All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All animal procedures performed in this study were approved by the Institutional Animal Care and Use Committee at the University of Florida. This article does not contain any studies with human participants performed by any of the authors.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wilkes, B.J., Bass, C., Korah, H. et al. Volumetric magnetic resonance and diffusion tensor imaging of C58/J mice: neural correlates of repetitive behavior. Brain Imaging and Behavior 14, 2084–2096 (2020). https://doi.org/10.1007/s11682-019-00158-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11682-019-00158-9