Skip to main content
Log in

Altered Cerebellum Spontaneous Activity in Juvenile Autism Spectrum Disorders Associated with Clinical Traits

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder. The associations between the cerebellum and clinical traits remain unclear. We performed amplitude of low-frequency fluctuation (ALFF) analysis to explore the associations between spontaneous brain activity and clinical traits. 361 juvenile ASD patients were included from the ABIDEII database. In the ASD group, the mean ALFF values of cerebellum 4 5 were correlated with SRS awareness and communication. The mean ALFF values of cerebellum 6 and vermis 4 5 were both positively correlated with SRS total, awareness, communication, and motivation. In contrast, the mean ALFF values of vermis 1 2 were negatively correlated with SRS total, awareness, and mannerisms. Our study suggests a role of the cerebellum in functional impairments in ASD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data Availability

The data used are publicly available in the ABIDE II database (http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html). The IDs of the subjects used in the study are listed in Appendix 1.

Abbreviations

ASD:

Autism spectrum disorder

ALFF:

Amplitude of low-frequency fluctuations

ReHo:

Regional homogeneity

fMRI:

Functional magnetic resonance imaging

ROI:

Region of interest

SRS:

Social responsiveness scale

FC:

Functional connectivity

AAL3:

Automated anatomical labelling 3

References

  • Aldinger, K. A., Kogan, J., Kimonis, V., Fernandez, B., Horn, D., Klopocki, E., Chung, B., Toutain, A., Weksberg, R., Millen, K. J., Barkovich, A. J., & Dobyns, W. B. (2013). Cerebellar and posterior fossa malformations in patients with autism-associated chromosome 22q13 terminal deletion. American Journal of Medical Genetics. Part A, 161A, 131–136.

    Article  Google Scholar 

  • Argyropoulos, G. P. D., van Dun, K., Adamaszek, M., Leggio, M., Manto, M., Masciullo, M., Molinari, M., Stoodley, C. J., Van Overwalle, F., Ivry, R. B., & Schmahmann, J. D. (2020). The cerebellar cognitive affective/schmahmann syndrome: A task force paper. Cerebellum, 19, 102–125.

    Article  Google Scholar 

  • Association, A. P. (2013). Diagnostic and statistical manual of mental disorders, fifth edition (DSM-5). American Psychiatric Publishing.

    Book  Google Scholar 

  • Bai, D., Yip, B. H., Windham, G. C., Sourander, A., Francis, R., Yoffe, R., Glasson, E., Mahjani, B., Suominen, A., Leonard, H., Gissler, M., Buxbaum, J. D., Wong, K., Schendel, D., Kodesh, A., Breshnahan, M., Levine, S. Z., Parner, E. T., Hansen, S. N., … Sandin, S. (2019). Association of genetic and environmental factors with autism in a 5-country cohort. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2019.141

    Article  PubMed  PubMed Central  Google Scholar 

  • Bostan, A. C., Dum, R. P., & Strick, P. L. (2013). Cerebellar networks with the cerebral cortex and basal ganglia. Trends in Cognitive Sciences, 17, 241–254.

    Article  Google Scholar 

  • Buckner, R. L. (2013). The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging. Neuron, 80, 807–815.

    Article  Google Scholar 

  • Carper, R. A., Solders, S., Treiber, J. M., Fishman, I., & Muller, R. A. (2015). Corticospinal tract anatomy and functional connectivity of primary motor cortex in autism. Journal of the American Academy of Child and Adolescent Psychiatry, 54, 859–867.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (2020). Community Report on Autism. https://www.cdc.gov/ncbddd/autism/addm-communityreport/index.html

  • Chen, X., Lu, B., & Yan, C. G. (2018). Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes. Human Brain Mapping, 39, 300–318.

    Article  Google Scholar 

  • Constantino, J. N. (2013). Social responsiveness scale. In F. R. Volkmar (Ed.), Encyclopedia of autism spectrum disorders (pp. 2919–2929). Springer.

    Chapter  Google Scholar 

  • Dajani, D. R., & Uddin, L. Q. (2016). Local brain connectivity across development in autism spectrum disorder: A cross-sectional investigation. Autism Research, 9, 43–54.

    Article  Google Scholar 

  • De Zeeuw, C. I., & Ten Brinke, M. M. (2015). Motor learning and the cerebellum. Cold Spring Harbor Perspectives in Biology, 7, a021683.

    Article  Google Scholar 

  • Deng, Z., Chandrasekaran, B., Wang, S., & Wong, P. C. (2016). Resting-state low-frequency fluctuations reflect individual differences in spoken language learning. Cortex, 76, 63–78.

    Article  Google Scholar 

  • 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., … Milham, M. P. (2017). Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Science Data, 4, 170010.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Elsabbagh, M., Divan, G., Koh, Y. J., Kim, Y. S., Kauchali, S., Marcin, C., Montiel-Nava, C., Patel, V., Paula, C. S., Wang, C., Yasamy, M. T., & Fombonne, E. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism Research, 5, 160–179.

    Article  Google Scholar 

  • Guo, X., Chen, H., Long, Z., Duan, X., Zhang, Y., & Chen, H. (2017). Atypical developmental trajectory of local spontaneous brain activity in autism spectrum disorder. Scientific Reports, 7, 39822.

    Article  Google Scholar 

  • Hampson, D. R., & Blatt, G. J. (2015). Autism spectrum disorders and neuropathology of the cerebellum. Frontiers in Neuroscience, 9, 420.

    Article  Google Scholar 

  • Itahashi, T., Yamada, T., Watanabe, H., Nakamura, M., Ohta, H., Kanai, C., Iwanami, A., Kato, N., & Hashimoto, R. (2015). Alterations of local spontaneous brain activity and connectivity in adults with high-functioning autism spectrum disorder. Molecular Autism, 6, 30.

    Article  Google Scholar 

  • Jack, A., Keifer, C. M., & Pelphrey, K. A. (2017). Cerebellar contributions to biological motion perception in autism and typical development. Human Brain Mapping, 38, 1914–1932.

    Article  Google Scholar 

  • Khan, A. J., Nair, A., Keown, C. L., Datko, M. C., Lincoln, A. J., & Muller, R. A. (2015). Cerebro-cerebellar resting-state functional connectivity in children and adolescents with autism spectrum disorder. Biological Psychiatry, 78, 625–634.

    Article  Google Scholar 

  • Linke, A. C., Olson, L., Gao, Y., Fishman, I., & Muller, R. A. (2017). Psychotropic medication use in autism spectrum disorders may affect functional brain connectivity. Biological Psychiatry Cognitive Neuroscience and Neuroimaging, 2, 518–527.

    Article  Google Scholar 

  • Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The Lancet, 392, 508–520.

    Article  Google Scholar 

  • Lu, D., Jiao, Q., Zhong, Y., Gao, W., Xiao, Q., Liu, X., Lin, X., Cheng, W., Luo, L., Xu, C., Lu, G., & Su, L. (2014). Altered baseline brain activity in children with bipolar disorder during mania state: A resting-state study. Neuropsychiatric Disease and Treatment, 10, 317–323.

    PubMed  PubMed Central  Google Scholar 

  • Manto, M., Bower, J. M., Conforto, A. B., Delgado-García, J. M., Da Guarda, S. N., Gerwig, M., Habas, C., Hagura, N., Ivry, R. B., Mariën, P., Molinari, M., Naito, E., Nowak, D. A., Oulad Ben Taib, N., Pelisson, D., Tesche, C. D., Tilikete, C., & Timmann, D. (2012). Consensus paper: Roles of the cerebellum in motor control–the diversity of ideas on cerebellar involvement in movement. Cerebellum, 11, 457–87.

    Article  Google Scholar 

  • Maximo, J. O., & Kana, R. K. (2019). Aberrant “deep connectivity” in autism: A cortico-subcortical functional connectivity magnetic resonance imaging study. Autism Research, 12, 384–400.

    Article  Google Scholar 

  • Murphy, C. M., Christakou, A., Giampietro, V., Brammer, M., Daly, E. M., Ecker, C., Johnston, P., Spain, D., Robertson, D. M., Consortium, M. A., Murphy, D. G., & Rubia, K. (2017). Abnormal functional activation and maturation of ventromedial prefrontal cortex and cerebellum during temporal discounting in autism spectrum disorder. Human Brain Mapping, 38, 5343–5355.

    Article  Google Scholar 

  • Nair, A., Treiber, J. M., Shukla, D. K., Shih, P., & Muller, R. A. (2013). Impaired thalamocortical connectivity in autism spectrum disorder: A study of functional and anatomical connectivity. Brain, 136, 1942–1955.

    Article  Google Scholar 

  • Padmanabhan, A., Lynn, A., Foran, W., Luna, B., & O’Hearn, K. (2013). Age related changes in striatal resting state functional connectivity in autism. Frontiers in Human Neuroscience, 7, 814.

    Article  Google Scholar 

  • Pascual-Belda, A., Diaz-Parra, A., & Moratal, D. (2018). Evaluating functional connectivity alterations in autism spectrum disorder using network-based statistics. Diagnostics. https://doi.org/10.3390/diagnostics8030051

    Article  PubMed  PubMed Central  Google Scholar 

  • Rolls, E. T., Huang, C. C., Lin, C. P., Feng, J., & Joliot, M. (2020). Automated anatomical labelling atlas 3. NeuroImage, 206, 116189.

    Article  Google Scholar 

  • Schuetze, M., Park, M. T., Cho, I. Y., MacMaster, F. P., Chakravarty, M. M., & Bray, S. L. (2016). Morphological alterations in the thalamus, striatum, and pallidum in autism spectrum disorder. Neuropsychopharmacology, 41, 2627–2637.

    Article  Google Scholar 

  • Skefos, J., Cummings, C., Enzer, K., Holiday, J., Weed, K., Levy, E., Yuce, T., Kemper, T., & Bauman, M. (2014). Regional alterations in purkinje cell density in patients with autism. PloS one, 9, e81255.

    Article  Google Scholar 

  • Solstrand, D. L., Lungu, O., & Doyon, J. (2020). Cerebellar contribution to motor and Non-motor functions in Parkinson’s disease: A meta-analysis of fMRI findings. Frontiers in Neurology, 11, 127.

    Article  Google Scholar 

  • Stoodley, C. J., D’Mello, A. M., Ellegood, J., Jakkamsetti, V., Liu, P., Nebel, M. B., Gibson, J. M., Kelly, E., Meng, F., Cano, C. A., Pascual, J. M., Mostofsky, S. H., Lerch, J. P., & Tsai, P. T. (2017). Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice. Nature Neuroscience, 20, 1744–1751.

    Article  Google Scholar 

  • Tu, Y., Wei, Y., Sun, K., Zhao, W., & Yu, B. (2015). Altered spontaneous brain activity in patients with hemifacial spasm: A resting-state functional MRI study. PloS one, 10, e0116849.

    Article  Google Scholar 

  • Wang, C., Pan, Y. H., Wang, Y., Blatt, G., & Yuan, X. B. (2019). Segregated expressions of autism risk genes Cdh11 and Cdh9 in autism-relevant regions of developing cerebellum. Molecular Brain, 12, 40.

    Article  Google Scholar 

  • Webb, S. J., Sparks, B. F., Friedman, S. D., Shaw, D. W., Giedd, J., Dawson, G., & Dager, S. R. (2009). Cerebellar vermal volumes and behavioral correlates in children with autism spectrum disorder. Psychiatry Research, 172, 61–67.

    Article  Google Scholar 

  • Winkler, A. M., Ridgway, G. R., Douaud, G., Nichols, T. E., & Smith, S. M. (2016). Faster permutation inference in brain imaging. NeuroImage, 141, 502–516.

    Article  Google Scholar 

  • Yan, C. G., Wang, X. D., Zuo, X. N., & Zang, Y. F. (2016). DPABI: Data processing & analysis for (resting-state) brain imaging. Neuroinformatics, 14, 339–351.

    Article  Google Scholar 

  • Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain and Development, 29, 83–91.

    Article  Google Scholar 

Download references

Acknowledgments

The authors acknowledge members of the Autism Brain Imaging Data Exchange and the International Neuroimaging Data-sharing Initiative for their efforts to aggregate and organize phenotypic and imaging data. We thank the Youth Program of the National Natural Science Foundation of China (81804198) and the Special Training Program for Young Scientific and Technological Talents of Southwest Medical University 2020–2022 for sponsorship of Jianghai Ruan.

Funding

This work was supported by the Youth Program of National Natural Science Foundation of China (81804198), Funding of Human Resources and Social Security Department, Sichuan (2018-145, 65), and Youth Fund of Southwest Medical University (2018-ZRQN-003). We thank the Special Training Program for Young Scientific and Technological Talents of Southwest Medical University 2020–2022 for sponsorship of Jianghai Ruan.

Author information

Authors and Affiliations

Authors

Contributions

JL: data curation, methodology, formal analysis, visualization, writing—original draft, writing—review & editing. XC: conceptualization, methodology, data curation, writing—original draft. RZ: conceptualization, data curation, writing—review & editing. AC: conceptualization, methodology, writing—review & editing. YZ: methodology, data curation, formal analysis. JR: conceptualization, methodology, supervision, writing—review & editing, funding acquisition.

Corresponding author

Correspondence to Jianghai Ruan.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Ethical Approval

The study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Southwest Medical University (Luzhou, China).

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 1257 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, J., Chen, X., Zheng, R. et al. Altered Cerebellum Spontaneous Activity in Juvenile Autism Spectrum Disorders Associated with Clinical Traits. J Autism Dev Disord 52, 2497–2504 (2022). https://doi.org/10.1007/s10803-021-05167-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-021-05167-6

Keywords

Navigation