Development of the whole-brain functional connectome explored via graph theory analysis Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.52294/001c.124565
Introduction Adolescence is a period of remarkable development as children’s brains change to resemble adult brains. Resting state fMRI measures fluctuations in blood-oxygen signal from which we can infer functional connectivity (FC). Graph theory is a branch of mathematics that can quantify the complex patterns of connectivity and network architecture inherent in the functional connectome. An ideal graph theory analysis explores edges that are weighted, directional, and heterogenous (can be positive or negative). Recent developmental studies have applied graph theory to the functional connectome, yet due to the considerable complexity added by each facet, most ignore one or more aspects of an ideal graph theory analysis (directionality and heterogeneity). Methods The present cross-sectional study measured FC in typically developing children, adolescents, and young adults (age 6-24 years) using 150+ echo-planar volumes (3.6mm isotropic voxels, repetition/echo time=2000/30ms) acquired at rest. A standard pre-processing pipeline was used, and the functional connectome was quantified using a weighted, directed graph analysis, including both positive and negative connections. Five different graph theory metrics were utilized to quantify developmental trajectories: connection density, modularity, clustering coefficient, global efficiency, and betweenness centrality. Positive and negative connections were analyzed separately, and age and sex associations were explored. Results The total sample comprised 219 participants (mean age (SD) [range] = 14.1 (3.3) [6.5-24.0] years, 50% female). For positive connections, modularity and betweenness centrality increased with age (both p<0.001), while connection density, clustering coefficient, and global efficiency decreased with age (all p<0.001). By contrast, for negative connections, modularity and betweenness centrality decreased with age (p=0.002, p=0.003), while connection density, clustering coefficient , and global efficiency increased with age (p<0.001, p<0.001, p=0.003). Effects of sex, hemisphere, and their interaction were minimal, though global efficiency for negative connections was higher in the right hemisphere than the left (p<0.001). Conclusion Graph theory appears to be a useful tool for quantifying the complex development of the functional connectome. The developmental changes presented here may be driven by an intrinsic pressure to balance functionality with low metabolic cost to maintain the network. The positive connection network appears to shift towards a more efficient conformation resembling “small-world” architecture. In contrast, the negative connection network seems to shift away from such efficient architecture, possibly to prioritize improving functionality before later refinement.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.52294/001c.124565
- https://apertureneuro.org/article/124565.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 69
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4403539217Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.52294/001c.124565Digital Object Identifier
- Title
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Development of the whole-brain functional connectome explored via graph theory analysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-18Full publication date if available
- Authors
-
Jordan Hassett, Brandon T. Craig, Alicia Hilderley, Eli Kinney‐Lang, Keith Owen Yeates, Frank P. MacMaster, Jillian Vinall Miller, Mélanie Noël, Brian L. Brooks, Karen Barlow, Catherine Lebel, Adam Kirton, Helen L. CarlsonList of authors in order
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https://doi.org/10.52294/001c.124565Publisher landing page
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https://apertureneuro.org/article/124565.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://apertureneuro.org/article/124565.pdfDirect OA link when available
- Concepts
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Connectome, Graph theory, Functional connectivity, Computer science, Graph, Cognitive science, Power graph analysis, Neuroscience, Psychology, Theoretical computer science, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(3.3) | 211 |
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| abstract_inverted_index.theory | 33, 58, 79, 104, 166, 297 |
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| abstract_inverted_index.useful | 302 |
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| abstract_inverted_index.measures | 19 |
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| abstract_inverted_index.pipeline | 142 |
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| abstract_inverted_index.children, | 119 |
| abstract_inverted_index.comprised | 202 |
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| abstract_inverted_index.isotropic | 132 |
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| abstract_inverted_index.p=0.003), | 254 |
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| abstract_inverted_index.typically | 117 |
| abstract_inverted_index.weighted, | 64, 153 |
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| abstract_inverted_index.[6.5-24.0] | 212 |
| abstract_inverted_index.centrality | 222, 249 |
| abstract_inverted_index.clustering | 177, 231, 258 |
| abstract_inverted_index.complexity | 89 |
| abstract_inverted_index.connection | 174, 229, 256, 338, 355 |
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| abstract_inverted_index.developing | 118 |
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| abstract_inverted_index.hemisphere | 290 |
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| abstract_inverted_index.centrality. | 183 |
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| abstract_inverted_index.quantifying | 305 |
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| abstract_inverted_index.separately, | 190 |
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| abstract_inverted_index.trajectories: | 173 |
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| abstract_inverted_index.cross-sectional | 112 |
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| abstract_inverted_index.time=2000/30ms) | 135 |
| abstract_inverted_index.“small-world” | 349 |
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| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 13 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.85944039 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |