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

Gustavo Padron-Rivera; Gabriel Ramirez‐Garcia; Amanda Chirino‐Perez; Angel Omar Romero-Molina; Adriana Ochoa-Morales; María Guadalupe García-Gomar; Miguel Angel Ramirez‐Garcia; Omar Rodriguez-Mendoza; Diana Laura Torres-Vences; Birgitt Schüle; Erick Humberto Pasaye-Alcaraz; Carlos Roberto Hernandez-Castillo; Juan Fernandez‐Ruiz

doi:10.1007/s11682-026-01091-4

journal article Open Access Feb 07, 2026

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

Gustavo Padron-Rivera Gabriel Ramirez‐Garcia Amanda Chirino‐Perez Angel Omar Romero-Molina Adriana Ochoa-Morales María Guadalupe García-Gomar Miguel Angel Ramirez‐Garcia Omar Rodriguez-Mendoza Diana Laura Torres-Vences Birgitt Schüle Erick Humberto Pasaye-Alcaraz Carlos Roberto Hernandez-Castillo Juan Fernandez‐Ruiz

Brain Imaging and Behavior Vol. 20 No. 1 · Springer Science and Business Media LLC

View at Publisher Save 10.1007/s11682-026-01091-4

Topics

No keywords indexed for this article. Browse by subject →

References

32

[1]

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 10.1016/j.rcp.2017.05.003

[2]

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 10.1007/s12311-020-01137-3

[3]

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 10.1098/rstb.2005.1634

[4]

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 10.1016/s1053-8119(09)71511-3

[5]

The precuneus: a review of its functional anatomy and behavioural correlates

Andrea E. Cavanna, Michael R. Trimble

Brain 2006 10.1093/brain/awl004

[6]

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 10.1002/mds.28728

[7]

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 10.1002/acn3.555

[8]

A probabilistic MR atlas of the human cerebellum

Jörn Diedrichsen, Joshua H. Balsters, Jonathan Flavell et al.

NeuroImage 2009 10.1016/j.neuroimage.2009.01.045

[9]

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 10.1212/01.wnl.0000265596.72492.89

[10]

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 10.1002/hbm.26113

[11]

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 10.1016/j.parkreldis.2019.08.011

[12]

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 10.1093/brain/awx317

[13]

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 10.1186/s12864-017-4112-9

[14]

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 10.5535/arm.2011.35.6.772

[15]

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 10.1038/s41572-019-0074-3

[16]

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 10.1007/978-3-319-44775-9

[17]

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 10.3174/ajnr.a3263

[18]

Large expansion of the ATTCT pentanucleotide repeat in spinocerebellar ataxia type 10

Tohru Matsuura, Takanori Yamagata, Daniel L. Burgess et al.

Nature Genetics 2000 10.1038/79911

[19]

Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses

Lisa D. Nickerson, Stephen M. Smith, Dost Öngür et al.

Frontiers in Neuroscience 2017 10.3389/fnins.2017.00115

[20]

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 10.1002/hbm.23568

[21]

Abnormal synchrony of resting state networks in premanifest and symptomatic Huntington disease: the IMAGE-HD study

Govinda R. Poudel, Gary F. Egan, Andrew Churchyard et al.

Journal of Psychiatry and Neuroscience 2014 10.1503/jpn.120226

[22]

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 10.1016/j.neuroimage.2015.02.064

[23]

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 10.1016/j.tics.2010.01.008

[24]

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 10.1002/ana.1081

[25]

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 10.1186/1471-2202-10-137

[26]

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.

[27]

The role of the salience network in cognitive and affective deficits

Jakub Schimmelpfennig, Jan Topczewski, Wojciech Zajkowski et al.

Frontiers in Human Neuroscience 2023 10.3389/fnhum.2023.1133367

[28]

Scale for the assessment and rating of ataxia

T. Schmitz-Hübsch, S. Tezenas du Montcel, L. Baliko et al.

Neurology 2006 10.1212/01.wnl.0000219042.60538.92

[29]

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 10.1007/s00415-023-11855-3

[30]

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 10.1073/pnas.0905267106

[31]

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 10.1590/s1980-57642009dn30300002

[32]

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 10.1002/hbm.22351

Metrics

1

Citations

32

References

Details

Published: Feb 07, 2026
Vol/Issue: 20(1)
License: View

Authors

G

Gustavo Padron-Rivera

G

Gabriel Ramirez‐Garcia

A

Amanda Chirino‐Perez

A

Angel Omar Romero-Molina

A

Adriana Ochoa-Morales

M

María Guadalupe García-Gomar

M

Miguel Angel Ramirez‐Garcia

O

Omar Rodriguez-Mendoza

D

Diana Laura Torres-Vences

B

Birgitt Schüle

E

Erick Humberto Pasaye-Alcaraz

C

Carlos Roberto Hernandez-Castillo

J

Juan Fernandez‐Ruiz

Funding

Consejo Nacional de Humanidades, Ciencias y Tecnologías Award: 2272998

Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica Award: IN214122

Cite This Article

Gustavo Padron-Rivera, Gabriel Ramirez‐Garcia, Amanda Chirino‐Perez, et al. (2026). Functional connectivity alterations in spinocerebellar ataxia type 10: insights from gray matter atrophy. Brain Imaging and Behavior, 20(1). https://doi.org/10.1007/s11682-026-01091-4

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

You May Also Like