A longitudinal study of structural brain network changes with normal aging
The aim of this study was to investigate age-related changes in the topological organization of structural brain networks by applying a longitudinal design over 6 years. Structural brain networks were derived from measurements of regional gray matter volume and were constructed in age-specific group...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2013-04-01
|
| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00113/full |
| _version_ | 1818037074813517824 |
|---|---|
| author | Kai eWu Kai eWu Yasuyuki eTaki Yasuyuki eTaki Yasuyuki eTaki Kazunori eSato Haochen eQi Ryuta eKawashima Ryuta eKawashima Ryuta eKawashima Hiroshi eFukuda |
| author_facet | Kai eWu Kai eWu Yasuyuki eTaki Yasuyuki eTaki Yasuyuki eTaki Kazunori eSato Haochen eQi Ryuta eKawashima Ryuta eKawashima Ryuta eKawashima Hiroshi eFukuda |
| author_sort | Kai eWu |
| collection | DOAJ |
| description | The aim of this study was to investigate age-related changes in the topological organization of structural brain networks by applying a longitudinal design over 6 years. Structural brain networks were derived from measurements of regional gray matter volume and were constructed in age-specific groups from baseline and follow-up scans. The structural brain networks showed economical small-world properties, providing high global and local efficiency for parallel information processing at low connection costs. In the analysis of the global network properties, the local and global efficiency of the baseline scan were significantly lower compared to the follow-up scan. Moreover, the annual rate of changes in local and global efficiency showed a positive and negative quadratic correlation with the baseline age, respectively; both curvilinear correlations peaked at approximately the age of 50. In the analysis of the regional nodal properties, significant negative correlations between the annual rate of changes in nodal strength and the baseline age were found in the brain regions primarily involved in the visual and motor/ control systems, whereas significant positive quadratic correlations were found in the brain regions predominately associated with the default-mode, attention, and memory systems. The results of the longitudinal study are consistent with the findings of our previous cross-sectional study: the structural brain networks develop into a fast distribution from young to middle age (approximately 50 years old) and eventually became a fast localization in the old age. Our findings elucidate the network topology of structural brain networks and its longitudinal changes, thus enhancing the understanding of the underlying physiology of normal aging in the human brain. |
| first_indexed | 2024-12-10T07:21:04Z |
| format | Article |
| id | doaj.art-02c1c97e5de7484485eb8a3bd32d56d7 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-10T07:21:04Z |
| publishDate | 2013-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-02c1c97e5de7484485eb8a3bd32d56d72022-12-22T01:57:48ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-04-01710.3389/fnhum.2013.0011341205A longitudinal study of structural brain network changes with normal agingKai eWu0Kai eWu1Yasuyuki eTaki2Yasuyuki eTaki3Yasuyuki eTaki4Kazunori eSato5Haochen eQi6Ryuta eKawashima7Ryuta eKawashima8Ryuta eKawashima9Hiroshi eFukuda10Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku UniversitySchool of Materials Science and Engineering, South China University of TechnologyDepartment of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku UniversityTohoku Medical Megabank Organization, Tohoku UniversityInstitute of Development, Aging and Cancer, Tohoku UniversityDepartment of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku UniversitySchool of Materials Science and Engineering, South China University of TechnologyInstitute of Development, Aging and Cancer, Tohoku UniversityInstitute of Development, Aging and Cancer, Tohoku UniversityInstitute of Development, Aging and Cancer, Tohoku UniversityDepartment of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku UniversityThe aim of this study was to investigate age-related changes in the topological organization of structural brain networks by applying a longitudinal design over 6 years. Structural brain networks were derived from measurements of regional gray matter volume and were constructed in age-specific groups from baseline and follow-up scans. The structural brain networks showed economical small-world properties, providing high global and local efficiency for parallel information processing at low connection costs. In the analysis of the global network properties, the local and global efficiency of the baseline scan were significantly lower compared to the follow-up scan. Moreover, the annual rate of changes in local and global efficiency showed a positive and negative quadratic correlation with the baseline age, respectively; both curvilinear correlations peaked at approximately the age of 50. In the analysis of the regional nodal properties, significant negative correlations between the annual rate of changes in nodal strength and the baseline age were found in the brain regions primarily involved in the visual and motor/ control systems, whereas significant positive quadratic correlations were found in the brain regions predominately associated with the default-mode, attention, and memory systems. The results of the longitudinal study are consistent with the findings of our previous cross-sectional study: the structural brain networks develop into a fast distribution from young to middle age (approximately 50 years old) and eventually became a fast localization in the old age. Our findings elucidate the network topology of structural brain networks and its longitudinal changes, thus enhancing the understanding of the underlying physiology of normal aging in the human brain.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00113/fulllongitudinal studystructural brain networkeconomical small-worldnormal agingregional gray matter volume |
| spellingShingle | Kai eWu Kai eWu Yasuyuki eTaki Yasuyuki eTaki Yasuyuki eTaki Kazunori eSato Haochen eQi Ryuta eKawashima Ryuta eKawashima Ryuta eKawashima Hiroshi eFukuda A longitudinal study of structural brain network changes with normal aging Frontiers in Human Neuroscience longitudinal study structural brain network economical small-world normal aging regional gray matter volume |
| title | A longitudinal study of structural brain network changes with normal aging |
| title_full | A longitudinal study of structural brain network changes with normal aging |
| title_fullStr | A longitudinal study of structural brain network changes with normal aging |
| title_full_unstemmed | A longitudinal study of structural brain network changes with normal aging |
| title_short | A longitudinal study of structural brain network changes with normal aging |
| title_sort | longitudinal study of structural brain network changes with normal aging |
| topic | longitudinal study structural brain network economical small-world normal aging regional gray matter volume |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00113/full |
| work_keys_str_mv | AT kaiewu alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT kaiewu alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT kazunoriesato alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT haocheneqi alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT hiroshiefukuda alongitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT kaiewu longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT kaiewu longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT yasuyukietaki longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT kazunoriesato longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT haocheneqi longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT ryutaekawashima longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging AT hiroshiefukuda longitudinalstudyofstructuralbrainnetworkchangeswithnormalaging |