Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
301-03-004 ISMRM Abstract

High-Resolution fMRI Reveals Thalamic Low-Pass Filtering of Cortical Frequency Tuning

Primary: Preclinical Animal & in vitro MR - Small Animals
Secondary: Brain Function and fMRI - Task/Intervention Based fMRI
301-03-004 · Neuroimaging and Spectroscopy in Experimental Models · Monday, 11 May, 1:50 PM–3:40 PM · Hall 1A
Keywords: Spatial-frequency feature learning High-resolution fMRI Thalamocortical circuitry Dynamic causal modeling (DCM) Low-pass filtering
Accepted
Zijuan Yu 1,2,3,4, Haoyu Wang5, Yan Zhuo1,2,3,4, Zhentao Zuo1,2,3,4
1National Key Laboratory of Cognitive Science and Mental Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
2University of Chinese Academy of Sciences, Beijing, China
3National multimode Trans-Scale Biomedical Imaging Center, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
4Interdisciplinary Research Platform for Brain Cognitive Mechanisms and Brain-Machine Integration, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
5Beijing Institute of Radiation Medicine, Beijing, China
Presenting Author: Zijuan Yu

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References

1. Zijuan Yu, Haoyu Wang, Yan Zhuo, and Zhentao Zuo. Frequency-dependent BOLD fMRI to somatosensory stimuli in dexmedetomidine-anesthetized rats. ISMRM 33th Annual Meeting & Exhibition, 2025, Hawii
2. Connelly WM, Laing M, Errington AC, Crunelli V. The thalamus as a low pass filter: Filtering at the cellular level does not equate with filtering at the network level. Front Neural Circuits. 2016;9. doi:10.3389/fncir.2015.00089 [doi]
3. Friston KJ, Harrison L, Penny W. Dynamic causal modelling. NeuroImage. 2003;19(4):1273-1302. doi:10.1016/S1053-8119(03)00202-7 [doi]
4. Vizioli, L., Moeller, S., Dowdle, L. et al. Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Nat Commun 12, 5181 (2021). https://doi.org/10.1038/s41467-021-25431-8 [doi]
5. Desrosiers-Grégoire G, Devenyi GA, Grandjean J, Chakravarty MM. A standardized image processing and data quality platform for rodent fMRI. Nat Commun. 2024;15(1):6708. doi:10.1038/s41467-024-50826-8 [doi]
6. Barrière, D.A., Magalhães, R., Novais, A. et al. The SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualization. Nat Commun 10, 5699 (2019). https://doi.org/10.1038/s41467-019-13575-7 [doi]
7. Jung WB, Im GH, Jiang H, Kim SG. Early fMRI responses to somatosensory and optogenetic stimulation reflect neural information flow. Proc Natl Acad Sci. 2021;118(11):e2023265118. doi:10.1073/pnas.2023265118 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/301-03-004