Li Dong1,2, Cheng Luo1,2, Weifang Cao1,2, Rui Zhang1,2, Jinnan Gong1,2, Diankun Gong1,2, Dezhong Yao1,2. 1. Key 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. 2. Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, P.R. China.
Abstract
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.
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.
Authors: Li Dong; Hechun Li; Zhongqiong He; Sisi Jiang; Benjamin Klugah-Brown; Lin Chen; Pu Wang; Song Tan; Cheng Luo; Dezhong Yao Journal: Brain Behav Date: 2016-09-21 Impact factor: 2.708
Authors: Xi Chen; Yuchao Jiang; Lin Chen; Hui He; Li Dong; Changyue Hou; Mingjun Duan; Mi Yang; Dezhong Yao; Cheng Luo Journal: Front Neurosci Date: 2017-01-30 Impact factor: 4.677