Connectivity-Based Topographical Changes of the Corpus Callosum During Aging

被引:11
作者
Liu, Yuchen [1 ]
Hsu, Chih-Chin Heather [2 ,3 ]
Huang, Chu-Chung [4 ,5 ]
Zhang, Yajuan [1 ]
Zhao, Jiajia [1 ]
Tsai, Shih-Jen [6 ,7 ,8 ]
Chen, Liang-Kung [3 ,10 ]
Lin, Ching-Po [1 ,2 ,9 ]
Lo, Chun-Yi Zac [1 ]
机构
[1] Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence, Shanghai, Peoples R China
[2] Natl Yang Ming Chiao Tung Univ, Inst Neurosci, Taipei, Taiwan
[3] Taipei Vet Gen Hosp, Ctr Geriatr & Gerontol, Taipei, Taiwan
[4] East China Normal Univ, Sch Psychol & Cognit Sci, Affiliated Mental Hlth Ctr ECNU, Shanghai Key Lab Brain Funct Genom,Minist Educ, Shanghai, Peoples R China
[5] Shanghai Changning Mental Hlth Ctr, Shanghai, Peoples R China
[6] Taipei Vet Gen Hosp, Dept Psychiat, Taipei, Taiwan
[7] Natl Yang Ming Chiao Tung Univ, Fac Med, Div Psychiat, Taipei, Taiwan
[8] Natl Yang Ming Chiao Tung Univ, Inst Brain Sci, Taipei, Taiwan
[9] Natl Yang Ming Chiao Tung Univ, Aging & Hlth Res Ctr, Taipei, Taiwan
[10] Taipei Municipal Gan Dau Hosp, Taipei, Taiwan
关键词
diffusion MRI; tractography; functional networks; segmentation; atlas; aging trajectory; AGE-RELATED-CHANGES; WHITE-MATTER; CEREBRAL-CORTEX; BRAIN; ORGANIZATION; ROBUST; MR; PARCELLATION; TRACTOGRAPHY; OPTIMIZATION;
D O I
10.3389/fnagi.2021.753236
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: The corpus callosum (CC) is the most prominent white matter connection for interhemispheric information transfer. It is implicated in a variety of cognitive functions, which tend to decline with age. The region-specific projections of the fiber bundles with microstructural heterogeneity of the CC are associated with cognitive functions and diseases. However, how the CC is associated with the information transfer within functional networks and the connectivity changes during aging remain unclear. Studying the CC topography helps to understand the functional specialization and age-related changes of CC subregions. Methods: Diffusion tractography was used to subdivide the CC into seven subregions from 1,086 healthy volunteers within a wide age range (21-90 years), based on the connections to the cortical parcellations of the functional networks. Quantitative diffusion indices and connection probability were calculated to study the microstructure differences and age-related changes in the CC subregions. Results: According to the population-based probabilistic topography of the CC, part of the default mode network (DMN) and limbic network (LN) projected fibers through the genu and rostrum; the frontoparietal network (FPN), ventral attention network (VA) and somatomotor networks (SM) were interconnected by the CC body; callosal fibers arising from the part of the default mode network (DMN), dorsal attention network (DA) and visual network (VIS) passed through the splenium. Anterior CC subregions interconnecting DMN, LN, FPN, VA, and SM showed lower fractional anisotropy (FA) and higher mean diffusivity (MD) and radial diffusivity (RD) than posterior CC subregions interconnecting DA and VIS. All the CC subregions showed slightly increasing FA and decreasing MD, RD, and axial diffusivity (AD) at younger ages and opposite trends at older ages. Besides, the anterior CC subregions exhibited larger microstructural and connectivity changes compared with the posterior CC subregions during aging. Conclusion: This study revealed the callosal subregions related to functional networks and uncovered an overall "anterior-to-posterior" region-specific changing trend during aging, which provides a baseline to identify the presence and timing of callosal connection states.
引用
收藏
页数:13
相关论文
共 72 条
[1]  
Aboitiz F, 2003, BIOL RES, V36, P89
[2]   MORPHOMETRY OF THE SYLVIAN FISSURE AND THE CORPUS-CALLOSUM, WITH EMPHASIS ON SEX-DIFFERENCES [J].
ABOITIZ, F ;
SCHEIBEL, AB ;
ZAIDEL, E .
BRAIN, 1992, 115 :1521-1541
[3]   FIBER COMPOSITION OF THE HUMAN CORPUS-CALLOSUM [J].
ABOITIZ, F ;
SCHEIBEL, AB ;
FISHER, RS ;
ZAIDEL, E .
BRAIN RESEARCH, 1992, 598 (1-2) :143-153
[4]  
Andersson J. L. R., 2010, TR07JA2 FMRIB
[5]   An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging [J].
Andersson, Jesper L. R. ;
Sotiropoulos, Stamatios N. .
NEUROIMAGE, 2016, 125 :1063-1078
[6]  
Basser PJ, 1996, J MAGN RESON SER B, V111, P209, DOI [10.1006/jmrb.1996.0086, 10.1016/j.jmr.2011.09.022]
[7]   Age-related slowing of memory retrieval: Contributions of perceptual speed and cerebral white matter integrity [J].
Bucur, Barbara ;
Madden, David J. ;
Spaniol, Julia ;
Provenzale, James M. ;
Cabeza, Roberto ;
White, Leonard E. ;
Huettel, Scott A. .
NEUROBIOLOGY OF AGING, 2008, 29 (07) :1070-1079
[8]   Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping [J].
Calamante, Fernando ;
Tournier, Jacques-Donald ;
Jackson, Graeme D. ;
Connelly, Alan .
NEUROIMAGE, 2010, 53 (04) :1233-1243
[9]   Diameter, Length, Speed, and Conduction Delay of Callosal Axons in Macaque Monkeys and Humans: Comparing Data from Histology and Magnetic Resonance Imaging Diffusion Tractography [J].
Caminiti, Roberto ;
Carducci, Filippo ;
Piervincenzi, Claudia ;
Battaglia-Mayer, Alexandra ;
Confalone, Giuseppina ;
Visco-Comandini, Federica ;
Pantano, Patrizia ;
Innocenti, Giorgio M. .
JOURNAL OF NEUROSCIENCE, 2013, 33 (36) :14501-+
[10]   Probabilistic Topography of Human Corpus Callosum Using Cytoarchitectural Parcellation and High Angular Resolution Diffusion Imaging Tractography [J].
Chao, Yi-Ping ;
Cho, Kuan-Hung ;
Yeh, Chun-Hung ;
Chou, Kun-Hsien ;
Chen, Jyh-Horng ;
Lin, Ching-Po .
HUMAN BRAIN MAPPING, 2009, 30 (10) :3172-3187