Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
331-03-004 / 331-03-004 ISMRM Abstract

Cerebellar and cerebral BOLD patterns during social reciprocity: a 7T interactive drawing task fMRI study

Accepted
Amina Z Zidane Burgess 1,2,3, Dylan van der Waal4, Ryan Muetzel4,5, Matthijs de Buck1,3,6, Tineke Backer van Ommeren7, Sander Begeer7, Wietske van der Zwaag1,3
1Spinoza Centre for Neuroimaging, Amsterdam, Netherlands
2Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
3Computational Cognitive Neuroscience & Neuroimaging, Netherlands Institute for Neuroscience, Royal Netherlands Academy for Arts and Sciences, Amsterdam, Netherlands
4The Generation R Study Group, The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
5Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center, Netherlands
6Department of Neurosurgery, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
7Faculty of Behavioural and Movement Sciences, Department of Clinical- Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
Presenting Author: Amina Z Zidane Burgess

Synopsis

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References

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. (American Psychiatric Association, 2013). doi:10.1176/appi.books.9780890425596. [doi]
2. Backer Van Ommeren, T. et al. A New Real-Life Test for Reciprocity in Autistic Adults: The Interactive Drawing Test. Front. Psychiatry 13, 842902 (2022).
3. van Ommeren, T. B., Begeer, S., Scheeren, A. M. & Koot, H. M. Measuring reciprocity in high functioning children and adolescents with autism spectrum disorders. J Autism Dev Disord 42, 1001–1010 (2012).
4. Hur, S. W. et al. Correlated signatures of social behavior in cerebellum and anterior cingulate cortex. bioRxiv 2023.04.05.535750 (2023) doi:10.1101/2023.04.05.535750. [doi]
5. Marques, J. P. et al. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. Neuroimage 49, 1271–1281 (2010).
6. Shiraishi, D. H. et al. Automated Deep Learning–based Segmentation of the Dentate Nucleus Using Quantitative Susceptibility Mapping MRI. Radiology: Artificial Intelligence 7, e240478 (2025).
7. King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B. & Diedrichsen, J. Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nat Neurosci 22, 1371–1378 (2019).
8. Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M. & Smith, S. M. Multilevel linear modelling for FMRI group analysis using Bayesian inference. NeuroImage 21, 1732–1747 (2004).
9. Van Overwalle, F. Social cognition and the brain: a meta-analysis. Hum Brain Mapp 30, 829–858 (2009).
10. Küper, M. et al. Evidence for a motor and a non-motor domain in the human dentate nucleus--an fMRI study. Neuroimage 54, 2612–2622 (2011).

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