Abstract Structural hemispheric asymmetry has long been assumed to guide functional asymmetry of the human brain, but empirical evidence for this compelling hypothesis remains scarce. Recently, it has been suggested that microstructural asymmetries may be more relevant to functional asymmetries than macrostructural asymmetries. To investigate the link between microstructure and function, we analyzed multimodal MRI data in 907 participants. We quantified structural and functional asymmetries of the planum temporale (PT), a cortical area crucial for auditory-language processing. We found associations of functional PT asymmetries and several microstructural asymmetries, such as intracortical myelin content, neurite density, and neurite orientation dispersion. The PT microstructure per se also showed hemispheric-specific coupling with PT functional activity. All these functional-structural associations are highly specific to within-PT functional activity during auditory-language processing. These results suggest that structural asymmetry guides functional lateralization of the same brain area and highlight a critical role of microstructural PT asymmetries in auditory-language processing.
@techreport{qinMicrostructuralAsymmetriesPlanum2023,type={preprint},title={Microstructural asymmetries of the planum temporale predict functional lateralization of auditory-language processing},url={https://www.researchsquare.com/article/rs-2380259/v1},language={en},urldate={2023-02-04},institution={In Review},author={Qin, Peipei and Bi, Qiuhui and Guo, Zeya and Yang, Liyuan and Li, HaoKun and Li, Peng and Liang, Xinyu and Luo, Junhao and Kong, Xiangyu and Xiong, Yirong and Sun, Bo and Ocklenburg, Sebastian and Gong, Gaolang},month=jan,year={2023},doi={10.21203/rs.3.rs-2380259/v1},keywords={To-Read},}
2022
JNeuroscience
Callosal fiber length scales with brain size according to functional lateralization, evolution, and development
Liyuan Yang, Chenxi Zhao, Yirong Xiong, Suyu Zhong, Di Wu, Shaoling Peng, Michel Thiebaut Schotten, and Gaolang Gong
@article{yangCallosalFiberLength2022a,title={Callosal fiber length scales with brain size according to functional lateralization, evolution, and development},volume={42},number={17},journal={Journal of Neuroscience},author={Yang, Liyuan and Zhao, Chenxi and Xiong, Yirong and Zhong, Suyu and Wu, Di and Peng, Shaoling and de Schotten, Michel Thiebaut and Gong, Gaolang},year={2022},note={Publisher: Soc Neuroscience},pages={3599--3610},}
Preprint
Population-based cortical mapping of callosal connections in the human brain
Yirong Xiong, Liyuan Yang, Changtong Wang, Chenxi Zhao, Junhao Luo, Di Wu, Yiping Ouyang, Michel Thiebaut Schotten, and Gaolang Gong
The corpus callosum (CC) is the principal white matter (WM) bundle supporting communication between the two brain hemispheres. Despite its importance, a comprehensive mapping of callosal connections is still lacking. Here, we constructed the first bidirectional population-based callosal connectional atlas between the midsagittal section of the CC and the cerebral cortex of the human brain by means of diffusion-weighted imaging tractography. The estimated connectional topographic maps within this atlas have the most fine-grained spatial resolution, demonstrate histological validity, and were reproducible in two independent samples. This new resource will revolutionize the investigation of interhemispheric communication and come with a user-friendly companion online tool (CCmapping) for easy access and visualization of the atlas.
@techreport{xiongPopulationbasedCorticalMapping2022b,type={preprint},title={Population-based cortical mapping of callosal connections in the human brain},url={https://www.researchsquare.com/article/rs-2210117/v1},language={en},urldate={2022-11-26},institution={In Review},author={Xiong, Yirong and Yang, Liyuan and Wang, Changtong and Zhao, Chenxi and Luo, Junhao and Wu, Di and Ouyang, Yiping and de Schotten, Michel Thiebaut and Gong, Gaolang},month=oct,year={2022},doi={10.21203/rs.3.rs-2210117/v1},keywords={To-Read, /unread},}
EssayRotation
Can you remember everything all at once? Rate-distortion theory and human memory