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Connectivity-Based Parcellation of the Human Frontal Pole with Diffusion Tensor Imaging
Open accessAbstract
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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“Further evidence for anatomical connections between anterior prefrontal cortex and ACC as well as OFC was provided by human diffusion-weighted imaging (Liu et al., 2013).”
From Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression (2016) · cites this paper as Liu et al., 2013
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Metadata
- 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)
- 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
- 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
- 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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