Music Training Increased thalamus connectivity in sensorimotor information bottom-up processing
Poster No:
1105
Submission Type:
Abstract Submission
Authors:
Gujing Li1,2,3, Kexin Gao1,2,3, Hui He1,2,3, Yayun Liu1,2,3, Yuanyuan Yu1,2,3, Cheng Luo1,2,3, Dezhong Yao1,2,3
Institutions:
1School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China, 2MOE Key Lab for Neuroinformation, Center for Information in Medicine, Chengdu, Sichuan, China, 3The Clinical Hospital of Chengdu Brain Science Institute, Chengdu, Sichuan, China
First Author:
Gujing Li
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Co-Author(s):
Kexin Gao
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Hui He
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Yayun Liu
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Yuanyuan Yu
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Cheng Luo
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Dezhong Yao
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
School of life Science and technology, University of Electronic Science and Technology of China|MOE Key Lab for Neuroinformation, Center for Information in Medicine|The Clinical Hospital of Chengdu Brain Science Institute
Chengdu, Sichuan, China|Chengdu, Sichuan, China|Chengdu, Sichuan, China
Introduction:
Music training is well known to improve sensorimotor skills. However, it is still not clear its influence on sensorimotor information bottom-up processing in the brain. The thalamus is an obligatory station through which nearly all sensory information must pass before reaching the cerebral cortex (McCormick and Bal 1994). Our previous study has proven that music training results in structural adaptations of the thalamus (Gujing et al. 2018). Thus, we selected thalamus subregions as regions of interest (ROI) and utilized stepwise function connectivity (SFC) (Sepulcre et al. 2012) to map the connectivity patterns of ROIs at different step distances, to represent the sensorimotor information bottom-up processing pattern in music participants.
Methods:
28 proficient musicians, 33 dancers, and 33 matched controls were recruited in this study. Dancers were recruited to detect the similarities and differences between dance and music training. Then, 510s resting-state functional images (TR=2s, TE=30ms) of all subjects were collected on a 3T MRI scanner.
After preprocessing, stepwise function connectivity (SFC) analysis was performed. The coordinate of eight thalamus subregion ROI (radius=4 mm) was defined by the human brainnetome atlas. FC matrices were constructed and only positive correlations of the FC matrix above the threshold (r=0.6) served as input data for the following calculation. The SFC value of a voxel j for a given step distance l and a seed area i is computed from the count of all paths that connect voxel j and any voxel in seed area i, and have an exact length of l. Therefore, SFC value of a brain voxel represents the sum of the number of pathways that connect to any one of the voxels in the seed region. We explored a wide range of link-step distances, from 1 to 8, to characterize the progression of the derived maps. Finally, one-way ANOVA was performed to determine differences among the three groups. The multiple compare correction took the form of GRF (voxel p value=0.001, cluster p value =0.05) was performed. Post-hoc analysis was performed on each significant cluster.
After preprocessing, stepwise function connectivity (SFC) analysis was performed. The coordinate of eight thalamus subregion ROI (radius=4 mm) was defined by the human brainnetome atlas. FC matrices were constructed and only positive correlations of the FC matrix above the threshold (r=0.6) served as input data for the following calculation. The SFC value of a voxel j for a given step distance l and a seed area i is computed from the count of all paths that connect voxel j and any voxel in seed area i, and have an exact length of l. Therefore, SFC value of a brain voxel represents the sum of the number of pathways that connect to any one of the voxels in the seed region. We explored a wide range of link-step distances, from 1 to 8, to characterize the progression of the derived maps. Finally, one-way ANOVA was performed to determine differences among the three groups. The multiple compare correction took the form of GRF (voxel p value=0.001, cluster p value =0.05) was performed. Post-hoc analysis was performed on each significant cluster.
Results:
Statistical analysis of SFC results gave the information that compared with the dance and control group, the SFC value of lateral pre-frontal thalamus at step 2 in the music group were significantly higher in right temporal pole: superior temporal gyrus, right inferior frontal gyrus opercular part and right precentral gyrus.
Conclusions:
Our study deepens understanding of music and dance training effects on sensorimotor information bottom-up processing. Music training enhanced connectivity between thalamus and primary sensorimotor areas, which is the early phrase of sensorimotor information bottom-up processing.
Learning and Memory:
Skill Learning 1
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Novel Imaging Acquisition Methods:
BOLD fMRI
Keywords:
MRI
Plasticity
Thalamus
Other - music training
1|2Indicates the priority used for review
Provide references using author date format
McCormick and Bal (1994), 'Sensory gating mechanisms of the thalamus', Current Opinion in Neurobiology, 4: 550-56.
Sepulcre et al. (2012), 'Stepwise Connectivity of the Modal Cortex Reveals the Multimodal Organization of the Human Brain', Journal of Neuroscience, 32: 10649-61.