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Aging and Efficiency of Brain Functional Networks: Preliminary Study in Korean Women

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2016, v.28 no.4, pp.675-682
https://doi.org/10.22172/cogbio.2016.28.4.004


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Abstract

The human brain networks are organized with two fundamental principles, i.e. segregation and integration, for efficient information processing. This study investigated age-related changes in the brain networks of Korean women, using resting-state fMRI and focusing on local efficiency and global efficiency that represent segregation and integration respectively. Fourteen young adults and 28 old adults participated. Old adults had lower global efficiency but higher local efficiency in the functional brain networks compared with young adults. In addition, global efficiency of old adults was positively associated with the KDRS-2 scores at trend level, and their local efficiency was negatively correlated with the KDRS-2 scores. These results suggest that global integration of the brain network may reduce but short-range local connection increase with aging. In old adults, lower network integration and higher local connection seems to be linked lower cognitive function.

keywords
노화, 기능적 연결성, 그래프 이론 분석, 전반적 효율성, 국소적 효율성, brain aging, functional connectivity, graph theoretical analysis, global efficiency, local efficiency

Reference

1.

Achard, S., & Bullmore, E. (2007). Efficiency and cost of economical brain functional networks. PLoS Computational Biology, 3, e17.

2.

Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis and functional systems. Nature Reviews Neuroscience, 10, 186-198.

3.

Chey, J. (2011). Korean Dementia Rating Scale-2. Seoul:Hakjisa.

4.

Hwang, S., Kim, J., Park, K., Chey, J., & Hong, S. (2012). Korean-Wechsler Intelligence Scale-IV. Daegu:Korea Psychology.

5.

Jeong, H., & Kang, E. (2016). Resting-state fMRI analysis: techniques and implications. The Korean Journal of Cognitive and Biological Psychology, 28, 445-478.

6.

Meunier, D., Achard, S., Morcom, A., & Bullmore, E. (2009). Age-related changes in modular organization of human brain functional networks. Neuroimage, 44, 715-723.

7.

Park, T. J. (2004). Cognitive neral mechanisms of aging. The Korean Journal of Cognitive and Biological Psychology, 16, 317-336.

8.

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 52, 1059-1069.

9.

Seo, E. H., Lee, D. Y., Lee, J., Park, J., Sohn, B. K., Lee, D. S., Choe, Y. M., & Woo, J. I. (2013). Whole-brain functional networks in cognitively normal, mild cognitive impairment, and Alzheimer’s disease. PLos One, 8, e53922.

10.

Song, J., Birn, R. M., Boly, M., Meier, T. B., Nair, B. A., Meyerand, M. E., & Prabhakaran, V. (2014). Age-related reorganizational changes in modularity and functional connectivity of human brain networks. Brain Connectivity, 4, 662-676.

11.

Sporns, O. (2013a). Network attributes for segregation and integration in the human brain. Current Opinion in Neurobiology, 23, 162-171.

12.

Sporns, O. (2013b). Structure and function of complex brain networks. Dialogues in Clinical Neuroscience, 15, 247-262.

13.

Statistics Korea (2011). 2010 Population and Housing Census Report: Based on Complete Enumeration, Vol. 1. Population. Daejeon: Statistics Korea.

14.

Sun, J., Tong, S., & Yang, G. Y. (2012). Reorganization of brain networks in aging and age-related diseases. Aging and Disease, 3, 181-193.

15.

van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Pol, H. E. (2009). Efficiency of functional brain networks and intellectual performance. The Journal of Neuroscience, 29, 7619-7624.

16.

Wang, J., Zuo, X., & He, Y. (2010). Graph-based network analysis of resting-state functional MRI. Frontiers in Systems Neuroscience, 4, 1-14.

17.

Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connectivity, 2, 125-141.

18.

Zhu, W., Wen, W., He, Y., Xia, A., Anstey, K. J., Sachdev, P. (2012). Changing topological patterns in normal aging using large-scale structural networks. Neurobiology of Aging, 33, 899-913.

The Korean Journal of Cognitive and Biological Psychology