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Articles, Behavioral/Cognitive

Connectivity-Based Parcellation of the Human Frontal Pole with Diffusion Tensor Imaging

Huaigui Liu, Wen Qin, Wei Li, Lingzhong Fan, Jiaojian Wang, Tianzi Jiang and Chunshui Yu
Journal of Neuroscience 17 April 2013, 33 (16) 6782-6790; DOI: https://doi.org/10.1523/JNEUROSCI.4882-12.2013
Huaigui Liu
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China,
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Wen Qin
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China,
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Wei Li
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China,
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Lingzhong Fan
2Sino-French Laboratory for Computer Science, Automation, and Applied Mathematics, Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and
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Jiaojian Wang
3Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China
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Tianzi Jiang
2Sino-French Laboratory for Computer Science, Automation, and Applied Mathematics, Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and
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Chunshui Yu
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China,
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Abstract

The human frontal pole (FP) approximately corresponds to Brodmann's area 10 and is a highly differentiated cortical area with unique cytoarchitectonic characteristics. However, its functional diversity is highly suggestive of the existence of functional subregions. Based on anatomical connection patterns derived from diffusion tensor imaging data, we applied a spectral clustering algorithm to parcellate the human right FP into orbital (FPo), lateral (FPl), and medial (FPm) subregions. This parcellation scheme was validated by corresponding analyses of the left FP and right FP in another independent dataset. Both visual observation and quantitative comparison of the anatomical connection patterns of the three FP subregions revealed that the FPo showed greater connection probabilities to brain regions of the social emotion network (SEN), including the orbitofrontal cortex, temporal pole, and amygdala, the FPl showed stronger connections to the dorsolateral prefrontal cortex of the cognitive processing network (CPN), and the FPm showed stronger connections to brain areas of the default mode network (DMN), including the anterior cingulate cortex and medial prefrontal cortex. We further analyzed the resting-state functional connectivity patterns of the three FP subregions. Consistent with the findings of anatomical connection analyses, the FPo was functionally correlated with the SEN, the FPl was correlated with the CPN, and the FPm was correlated with the DMN. These findings suggest that the human FP includes three separable subregions with different anatomical and functional connectivity patterns and that these subregions are involved in different brain functional networks and serve different functions.

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The Journal of Neuroscience: 33 (16)
Journal of Neuroscience
Vol. 33, Issue 16
17 Apr 2013
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Connectivity-Based Parcellation of the Human Frontal Pole with Diffusion Tensor Imaging
Huaigui Liu, Wen Qin, Wei Li, Lingzhong Fan, Jiaojian Wang, Tianzi Jiang, Chunshui Yu
Journal of Neuroscience 17 April 2013, 33 (16) 6782-6790; DOI: 10.1523/JNEUROSCI.4882-12.2013

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Connectivity-Based Parcellation of the Human Frontal Pole with Diffusion Tensor Imaging
Huaigui Liu, Wen Qin, Wei Li, Lingzhong Fan, Jiaojian Wang, Tianzi Jiang, Chunshui Yu
Journal of Neuroscience 17 April 2013, 33 (16) 6782-6790; DOI: 10.1523/JNEUROSCI.4882-12.2013
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