TY - JOUR T1 - Brain Anatomical Network and Intelligence A1 - Li, Yonghui A1 - Liu, Yong A1 - Li, Jun A1 - Qin, Wen A1 - Li, Kuncheng A1 - Yu, Chunshui A1 - Jiang, Tianzi Y1 - 2009/05/29 N2 - Author Summary Networks of interconnected brain regions coordinate brain activities. Information is processed in the grey matter (cortex and subcortical structures) and passed along the network via whitish, fatty-coated fiber bundles, the white matter. Using maps of these white matter tracks, we provided evidence that higher intelligence may result from more efficient information transfer. Specifically, we hypothesized that higher IQ derives from higher global efficiency of the brain anatomical network. Seventy-nine healthy young adults were divided into general and high IQ groups. We used diffusion tensor tractography, which maps brain white matter fibers, to construct anatomical brain networks for each subject and calculated the network properties using both binary and weighted networks. We consistently found that the high intelligence group's brain network was significantly more efficient than was the general intelligence group's. Moreover, IQ scores were significantly correlated with network properties, such as shorter path lengths and higher overall efficiency, indicating that the information transfer in the brain was more efficient. These converging evidences support the hypothesis that the efficiency of the organization of the brain structure may be an important biological basis for intelligence. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 5 IS - 5 UR - https://doi.org/10.1371/journal.pcbi.1000395 SP - e1000395 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.1000395 ER -