Cited by 108Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsNeural and Behavioral Psychology Studies

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

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Liu, Huaigui, Qin, Wen, Li, Wei, Fan, Lingzhong, Wang, Jiaojian, Jiang, Tianzi, Yu, Chunshui·2013·The Journal of Neuroscience

DOI 10.1523/jneurosci.4882-12.2013PMC PMC6618893

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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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Authors: Liu, H., Qin, W., Li, W., Fan, L., Wang, J., Jiang, T., & Yu, C.
Affiliations: Tianjin Medical University General Hospital (CN)
Chinese Academy of Sciences (CN)
University of Electronic Science and Technology of China (CN)
ORCID: Liu, Huaigui
Qin, Wen
Li, Wei
Fan, Lingzhong
Wang, Jiaojian
Jiang, Tianzi
Yu, Chunshui
Venue: The Journal of Neuroscience
Publisher: Society for Neuroscience
Published: 2013-04-17
Volume: 33
Issue: 16
Pages: 6782-6790
ISSN: 0270-6474 (ISSN-L)
1529-2401
DOI: 10.1523/jneurosci.4882-12.2013
PMC: PMC6618893
OpenAlex: W2106664286
Cited by: 108
References: 83
Citations by year: 2026: 3 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 8 · 2017: 10 · 2016: 15 · 2015: 22 · 2014: 14 · 2013: 3
FWCI: 9.87
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-sa
creativecommons.org/licenses/by-nc-sa/4.0/ (vor, 183 d)
Locations: Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Natural Science Foundation of China (81271551, 973 Program, 81201152, 81061120533)
National Key Research and Development Program of China (2011CB707801, 81271551)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: frontal pole, Brodmann area 10, functional parcellation, structural connectivity, resting-state functional connectivity, default mode network, spectral clustering, diffusion tensor imaging
MeSH terms: Adult, Animals, Brain Mapping, Cognition, Emotions, Female, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Functional Laterality, Macaca, Magnetic Resonance Imaging, Male, Neural Pathways, Oxygen, Probability, Reference Values, Young Adult, Diffusion Tensor Imaging

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

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