Functional connectivity alterations in spinocerebellar ataxia type 10: insights from gray matter atrophy

Aguilar-Navarro, S. G., Mimenza-Alvarado, A. J., Palacios-García, A. A., Samudio-Cruz, A., Gutiérrez-Gutiérrez, L. A., & Ávila-Funes, J. A. (2018). Validity and reliability of the Spanish version of the Montreal Cognitive Assessment (MoCA) for the detection of cognitive impairment in Mexico. Revista Colombiana De Psiquiatría, 47(4), 237–243. https://doi.org/10.1016/j.rcp.2017.05.003

Article  PubMed  Google Scholar 

Arruda, W. O., Meira, A. T., Ono, S. E., de Carvalho Neto, A., Betting, L. E. G. G., Raskin, S., et al. (2020). Volumetric MRI changes in spinocerebellar ataxia (SCA3 and SCA10) patients. The Cerebellum, 19(4), 536–543. https://doi.org/10.1007/s12311-020-01137-3

Article  PubMed  Google Scholar 

Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.1098/rstb.2005.1634

Article  Google Scholar 

Beckmann, C., Mackay, C., Filippini, N., & Smith, S. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. NeuroImage, 47, Article S148. https://doi.org/10.1016/s1053-8119(09)71511-3

Article  Google Scholar 

Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129(3), 564–583. https://doi.org/10.1093/brain/awl004

Article  PubMed  Google Scholar 

Chirino-Pérez, A., Vaca-Palomares, I., Torres, D. L., Hernandez-Castillo, C. R., Diaz, R., Ramirez-Garcia, G., & Fernandez-Ruiz, J. (2021). Cognitive impairments in spinocerebellar ataxia type 10 and their relation to cortical thickness. Movement Disorders, 36(12), 2910–2921. https://doi.org/10.1002/mds.28728

Article  PubMed  Google Scholar 

Cocozza, S., Costabile, T., Tedeschi, E., Abate, F., Russo, C., Liguori, A., et al. (2018). Cognitive and functional connectivity alterations in Friedreich’s ataxia. Annals of Clinical and Translational Neurology, 5(6), 677–686. https://doi.org/10.1002/acn3.555

Article  PubMed  PubMed Central  Google Scholar 

Diedrichsen, J., Balsters, J. H., Flavell, J., Cussans, E., & Ramnani, N. (2009). A probabilistic MR atlas of the human cerebellum. NeuroImage, 46(1), 39–46. https://doi.org/10.1016/j.neuroimage.2009.01.045

Article  PubMed  Google Scholar 

Gatto, E. M., Gao, R., White, M. C., Uribe Roca, M. C., Etcheverry, J. L., Persi, G., et al. (2007). Ethnic origin and extrapyramidal signs in an Argentinean spinocerebellar ataxia type 10 family. Neurology, 69(2), 216–218. https://doi.org/10.1212/01.wnl.0000265596.72492.89

Article  CAS  PubMed  Google Scholar 

Guo, J., Jiang, Z., Liu, X., Li, H., Biswal, B. B., Zhou, B., et al. (2023). Cerebello-cerebral resting-state functional connectivity in spinocerebellar ataxia type 3. Human Brain Mapping, 44(3), 927–936. https://doi.org/10.1002/hbm.26113

Article  PubMed  Google Scholar 

Hernandez-Castillo, C. R., Diaz, R., Vaca-Palomares, I., Torres, D. L., Chirino, A., Campos-Romo, A., et al. (2019). Extensive cerebellar and thalamic degeneration in spinocerebellar ataxia type 10. Parkinsonism & Related Disorders, 66, 182–188. https://doi.org/10.1016/j.parkreldis.2019.08.011

Article  Google Scholar 

Hoche, F., Guell, X., Vangel, M. G., Sherman, J. C., & Schmahmann, J. D. (2018). The cerebellar cognitive affective/Schmahmann syndrome scale. Brain, 141(1), 248–270. https://doi.org/10.1093/brain/awx317

Article  PubMed  PubMed Central  Google Scholar 

Kairov, U., Cantini, L., Greco, A., Molkenov, A., Czerwinska, U., Barillot, E., & Zinovyev, A. (2017). Determining the optimal number of independent components for reproducible transcriptomic data analysis. BMC Genomics, 18(1), 1–13. https://doi.org/10.1186/s12864-017-4112-9

Article  CAS  Google Scholar 

Kim, B.-R., Lim, J.-H., Lee, S. A., Park, S., Koh, S.-E., Lee, I.-S., et al. (2011). Usefulness of the scale for the assessment and rating of ataxia (SARA) in Ataxic Stroke Patients. Annals of Rehabilitation Medicine, 35(6), Article 772. https://doi.org/10.5535/arm.2011.35.6.772

Article  PubMed  PubMed Central  Google Scholar 

Klockgether, T., Mariotti, C., & Paulson, H. L. (2019). Spinocerebellar ataxia. Nature Reviews. Disease Primers, 5(1), 1–21. https://doi.org/10.1038/s41572-019-0074-3

Article  Google Scholar 

Larner, A. J. (2016). Cognitive screening instruments: A practical approach. Cognitive Screening Instruments: A Practical Approach. https://doi.org/10.1007/978-3-319-44775-9

Article  Google Scholar 

Lee, M. H., Smyser, C. D., & Shimony, J. S. (2013). Resting-state fMRI: A review of methods and clinical applications. American Journal of Neuroradiology, 34(10), 1866–1872. https://doi.org/10.3174/ajnr.A3263

Article  CAS  PubMed  Google Scholar 

Matsuura, T., Yamagata, T., Burgess, D. L., Rasmussen, A., Grewal, R. P., Watase, K., et al. (2000). Large expansion of the ATTCT pentanucleotide repeat in spinocerebellar ataxia type 10. Nature Genetics, 26(2), 191–194. https://doi.org/10.1038/79911

Article  CAS  PubMed  Google Scholar 

Nickerson, L. D., Smith, S. M., Öngür, D., & Beckmann, C. F. (2017). Using dual regression to investigate network shape and amplitude in functional connectivity analyses. Frontiers in Neuroscience, 11(MAR), 1–18. https://doi.org/10.3389/fnins.2017.00115

Article  Google Scholar 

Pereira, L., Airan, R. D., Fishman, A., Pillai, J. J., Kansal, K., Onyike, C. U., et al. (2017). Resting-state functional connectivity and cognitive dysfunction correlations in spinocerebelellar ataxia type 6 (SCA6). Human Brain Mapping, 38(6), 3001–3010. https://doi.org/10.1002/hbm.23568

Article  PubMed  PubMed Central  Google Scholar 

Poudel, G. R., Egan, G. F., Churchyard, A., Chua, P., Stout, J. C., & Georgiou-Karistianis, N. (2014). Abnormal synchrony of resting state networks in premanifest and symptomatic Huntington disease: The IMAGE-HD study. Journal of Psychiatry & Neuroscience, 39(2), 87–96. https://doi.org/10.1503/jpn.120226

Article  Google Scholar 

Pruim, R. H. R., Mennes, M., van Rooij, D., Llera, A., Buitelaar, J. K., & Beckmann, C. F. (2015). ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage, 112, 267–277. https://doi.org/10.1016/j.neuroimage.2015.02.064

Article  PubMed  Google Scholar 

Raichle, M. E. (2010). Two views of brain function. Trends in Cognitive Sciences, 14(4), 180–190. https://doi.org/10.1016/j.tics.2010.01.008

Article  PubMed  Google Scholar 

Rasmussen, A., Matsuura, T., Ruano, L., Yescas, P., Ochoa, A., Ashizawa, T., & Alonso, E. (2001). Clinical and genetic analysis of four Mexican families with spinocerebellar ataxia type 10. Annals of Neurology, 50(2), 234–239. https://doi.org/10.1002/ana.1081

Article  CAS  PubMed  Google Scholar 

Robinson, S., Basso, G., Soldati, N., Sailer, U., Jovicich, J., Bruzzone, L., et al. (2009). A resting state network in the motor control circuit of the basal ganglia. BMC Neuroscience, 10, 1–14. https://doi.org/10.1186/1471-2202-10-137

Article  Google Scholar 

Rudolph, S., Badura, A., Lutzu, S., Pathak, S. S., Thieme, A., Verpeut, J. L. (2023). Cognitive-Affective Functions of the Cerebellum, 43(45), 7554–7564.

CAS  Google Scholar 

Schimmelpfennig, J., Topczewski, J., Zajkowski, W., & Jankowiak-Siuda, K. (2023). The role of the salience network in cognitive and affective deficits. Frontiers in Human Neuroscience, 17(March), 1–9. https://doi.org/10.3389/fnhum.2023.1133367

Article  Google Scholar 

Schmitz-Hübsch, T., Montcel, D., Baliko, S. T., Berciano, L., Boesch, J., Depondt, S., C., et al. (2006). Scale for the assessment and rating of ataxia: Development of a new clinical scale. Neurology, 66(11), 1717–1720. https://doi.org/10.1212/01.wnl.0000219042.60538.92

Article  PubMed  Google Scholar 

Siciliano, L., Olivito, G., Urbini, N., Silveri, M. C., & Leggio, M. (2023). The rising role of cognitive reserve and associated compensatory brain networks in spinocerebellar ataxia type 2. Journal of Neurology, 270(10), 5071–5084. https://doi.org/10.1007/s00415-023-11855-3

Article  PubMed  PubMed Central  Google Scholar 

Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., et al. (2009). Correspondence of the brain’s functional architecture during activation and rest. Proceedings of the National Academy of Sciences of the United States of America, 106(31), 13040–13045. https://doi.org/10.1073/pnas.0905267106

Article  PubMed  PubMed Central  Google Scholar 

Teive, H. A. G., & Arruda, W. O. (2009). Cognitive dysfunction in spinocerebellar ataxias. Dementia & Neuropsychologia, 3(3), 180–187. https://doi.org/10.1590/s1980-57642009dn30300002

Article  Google Scholar 

Werner, C. J., Dogan, I., Saß, C., Mirzazade, S., Schiefer, J., Shah, N. J., et al. (2014). Altered resting-state connectivity in huntington’s disease. Human Brain Mapping, 35(6), 2582–2593. https://doi.org/10.1002/hbm.22351

Comments (0)

No login
gif