Abstract
How brain functions emerge from anatomical networks of the brain is still an open fundamental question. One approach for understanding the structure-function relationship is computational modeling of structural and functional connectivity data from MRI and to explore the behavior of the dynamic model by computer simulation. Here we constructed a whole-brain model based on the structural connectivity between 96 anatomical regions of the marmoset brain estimated from diffusion MRI data. We compared the brain activity simulated by the model and the brain activity observed by resting state functional MRI. We found that the correlation between the simulated and empirical functional connectivities increases within balanced parameter regions of excitatory-inhibitory connections, although the models with shuffled weights break the correlation. This result suggests that these parameters are crucial factors for the relationship between anatomical and functional network in the resting state MRI.
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Acknowledgments
This work was supported by the program for Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS) from Japan Agency for Medical Research and Development, AMED.
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Tsukada, H. et al. (2018). Analysis of Structure-Function Relationship Using a Whole-Brain Dynamic Model Based on MRI Images of the Common Marmoset. In: Delgado-GarcÃa, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_12
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DOI: https://doi.org/10.1007/978-981-10-8854-4_12
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