The modular organization of human anatomical brain networks: Accounting for the cost of wiring
Brain networks are expected to be modular. However, existing techniques for estimating a network’s modules make it difficult to assess the influence of organizational principles such as wiring cost reduction on the detected modules. Here we present a modification of an existing module dete...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2017-02-01
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| Series: | Network Neuroscience |
| Subjects: | |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_a_00002 |
| _version_ | 1828392480972734464 |
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| author | Richard F. Betzel John D. Medaglia Lia Papadopoulos Graham L. Baum Ruben Gur Raquel Gur David Roalf Theodore D. Satterthwaite Danielle S. Bassett |
| author_facet | Richard F. Betzel John D. Medaglia Lia Papadopoulos Graham L. Baum Ruben Gur Raquel Gur David Roalf Theodore D. Satterthwaite Danielle S. Bassett |
| author_sort | Richard F. Betzel |
| collection | DOAJ |
| description | Brain networks are expected to be modular. However, existing techniques for estimating a network’s modules make it difficult to assess
the influence of organizational principles such as wiring cost reduction on the detected modules. Here we present a modification of an existing
module detection algorithm that allowed us to focus on connections that are unexpected under a cost-reduction wiring rule and to identify modules
from among these connections. We applied this technique to anatomical brain networks and showed that the modules we detected differ from those
detected using the standard technique. We demonstrated that these novel modules are spatially distributed, exhibit unique functional
fingerprints, and overlap considerably with rich clubs, giving rise to an alternative and complementary interpretation of the functional roles of
specific brain regions. Finally, we demonstrated that, using the modified module detection approach, we can detect modules in a developmental
dataset that track normative patterns of maturation. Collectively, these findings support the hypothesis that brain networks are composed of
modules and provide additional insight into the function of those modules. |
| first_indexed | 2024-12-10T07:20:40Z |
| format | Article |
| id | doaj.art-b0b04521b473499b90289898e527fc5c |
| institution | Directory Open Access Journal |
| issn | 2472-1751 |
| language | English |
| last_indexed | 2024-12-10T07:20:40Z |
| publishDate | 2017-02-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Network Neuroscience |
| spelling | doaj.art-b0b04521b473499b90289898e527fc5c2022-12-22T01:57:49ZengThe MIT PressNetwork Neuroscience2472-17512017-02-0111426810.1162/NETN_a_00002NETN_a_00002The modular organization of human anatomical brain networks: Accounting for the cost of wiringRichard F. Betzel0John D. Medaglia1Lia Papadopoulos2Graham L. Baum3Ruben Gur4Raquel Gur5David Roalf6Theodore D. Satterthwaite7Danielle S. Bassett81Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 191041Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 191043Department of Physics, University of Pennsylvania, Philadelphia, PA, 191044Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 191044Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 191044Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 191044Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 191044Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 191041Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104Brain networks are expected to be modular. However, existing techniques for estimating a network’s modules make it difficult to assess the influence of organizational principles such as wiring cost reduction on the detected modules. Here we present a modification of an existing module detection algorithm that allowed us to focus on connections that are unexpected under a cost-reduction wiring rule and to identify modules from among these connections. We applied this technique to anatomical brain networks and showed that the modules we detected differ from those detected using the standard technique. We demonstrated that these novel modules are spatially distributed, exhibit unique functional fingerprints, and overlap considerably with rich clubs, giving rise to an alternative and complementary interpretation of the functional roles of specific brain regions. Finally, we demonstrated that, using the modified module detection approach, we can detect modules in a developmental dataset that track normative patterns of maturation. Collectively, these findings support the hypothesis that brain networks are composed of modules and provide additional insight into the function of those modules.https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_a_00002Complex networksModularityCommunity structureGeometryWiring cost |
| spellingShingle | Richard F. Betzel John D. Medaglia Lia Papadopoulos Graham L. Baum Ruben Gur Raquel Gur David Roalf Theodore D. Satterthwaite Danielle S. Bassett The modular organization of human anatomical brain networks: Accounting for the cost of wiring Network Neuroscience Complex networks Modularity Community structure Geometry Wiring cost |
| title | The modular organization of human anatomical brain networks: Accounting for the cost of wiring |
| title_full | The modular organization of human anatomical brain networks: Accounting for the cost of wiring |
| title_fullStr | The modular organization of human anatomical brain networks: Accounting for the cost of wiring |
| title_full_unstemmed | The modular organization of human anatomical brain networks: Accounting for the cost of wiring |
| title_short | The modular organization of human anatomical brain networks: Accounting for the cost of wiring |
| title_sort | modular organization of human anatomical brain networks accounting for the cost of wiring |
| topic | Complex networks Modularity Community structure Geometry Wiring cost |
| url | https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_a_00002 |
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