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Updated: Apr 19, 2026
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
Published on: June 30, 2018
Spatiotemporal consistency of local neural activities: A new imaging measure for functional MRI data
Li Dong1,2, Cheng Luo1,2, Weifang Cao1,2
1Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, P.R. China.
Purpose:
To characterize the local consistency by integrating temporal and spatial information in the local region using functional magnetic resonance imaging (fMRI).
Materials And Methods:
One simulation was implemented to explain the definition of FOur-dimensional (spatiotemporal) Consistency of local neural Activities (FOCA). Then three experiments included resting state data (33 subjects), resting state reproducibility data (16 subjects), and event state data (motor execution task, 26 subjects) were designed. Finally, FOCA were respectively analyzed using statistical analysis methods, such as one-sample t-test and paired t-test, etc.
Results:
During resting state (Experiment 1), the FOCA values (P < 0.05, family-wise error [FWE] corrected, voxel size >621 mm(3) ) were found to be distinct at the bilateral inferior frontal gyrus, middle frontal gyrus, angular gyrus, and precuneus/cuneus. In Experiment 2 (reproducibility), a high degree of consistency within subjects (correlation ≈0.8) and between subjects (correlation ≈0.6) of FOCA were obtained. Comparing event with resting state in Experiment 3, enhanced FOCA (P < 0.05, FWE-corrected, voxel size >621 mm(3) ) was observed mainly in the precentral gyrus and lingual gyrus.
Conclusion:
These findings suggest that FOCA has the potential to provide further information that will help to better understand brain function in neural imaging.
