65세부터 85세 여성의 뇌 구조 부피 변화 조사 = Investigating Volumetric changes of Brain Structure in Women Aged 65 to 85 Years Old

국문 초록 (Abstract)

인간의 신체는 노화가 진행됨에 따라 구조 및 기능이 저하되어 다양한 질병에 취약해지게 된다. 특히 뇌 구조의 변화는 혈관 및 대사성 뇌 질환과 같은 질병에 대한 면역 체계가 취약해지고 신경정신질환에 쉽게 노출되게 된다. 본 연구에서는 이러한 뇌 구조를 비침습적으로 관찰할 수 있는 자기공명영상 기법을 이용하여 65세에서 85세까지의 여성을 대상으로 뇌 부피, 회백질, 백질, 피질하부 영역의 부피가 노화에 따라 어떻게 변화 하는지 패턴을 조사하였으며, 연구결과로 피질하부영역에서 선형적으로 유의미하게 감소하는 변화 패턴을 확인 할 수 있었다. 이러한 결과는 뇌 구조 영역의 노화로 인한 변화가 노년기 신경정신질환과 밀접한 관련이 있음을 시사하고 있으며, 노년기 뇌 발달에 대한 이해를 도울 수 있는 정보를 제공할 수 있다.

다국어 초록 (Multilingual Abstract)

The human body becomes vulnerable to various diseases due to deterioration in structure and function as it ages. In particular, changes in brain structure weaken the immune system against diseases such as vascular and metabolic neuropsychiatric diseases. In this study, we used a magnetic resonance imaging technique that allows non-invasive observation of brain structures and measurement of how the volumes of the brain, gray matter, white matter, and subcortical regions changes with aging in women aged 65 to 85 years. As a result of our investigation, we observed a significant linear decrease in subcortical regions with age. These results suggest that the changes due to aging in the brain structure area are closely related to neuropsychiatric diseases in old age, and can provide information in understanding the vulnerability of the brain in old age.

목차 (Table of Contents)

• Ⅰ. INTRODUCTION Ⅱ. MATERIAL AND METHODS Ⅲ. RESULTS Ⅳ. DISCUSSIONS Ⅴ. CONCLUSIONS Reference

참고문헌 (Reference)

1 Gary J. Lewis, "Widespread associations between trait conscientiousness and thickness of brain cortical regions" Elsevier BV 176 : 22-28, 2018

2 Lorah D. Dorn, "Understanding the Role of Puberty in Structural and Functional Development of the Adolescent Brain" Wiley 29 (29): 32-53, 2019

3 VS Fonov, "Unbiased nonlinear average age-appropriate brain templates from birth to adulthood" Elsevier BV 47 : S102-, 2009

4 Brain Development Cooperative Group, "Total and regional brain volumes in a population-based normative sample from 4 to 18 years : the NIH MRI Study of Normal Brain Development" 22 (22): 1-12, 2012

5 L. W. de Jong, "Strongly reduced volumes of putamen and thalamus in Alzheimer's disease : an MRI study" 131 (131): 3277-3285, 2008

6 Chiara Nosarti, "Preterm birth and structural brain alterations in early adulthood" Elsevier BV 6 : 180-191, 2014

7 Herve Lemaitre, "Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?" Elsevier BV 33 (33): 617.e1-617.e9, 2012

8 C. Lebel, "Microstructural maturation of the human brain from childhood to adulthood" Elsevier BV 40 (40): 1044-1055, 2008

9 Kathryn L. Mills, "Methods and considerations for longitudinal structural brain imaging analysis across development" Elsevier BV 9 : 172-190, 2014

10 George S. Alexopoulos, "Mechanisms and treatment of late-life depression" Springer Science and Business Media LLC 9 (9): 188-, 2019

11 C. Lebel, "Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood" Society for Neuroscience 31 (31): 10937-10947, 2011

12 Yasuyuki Taki, "Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel-based and region-of-interest analyses in 246 healthy children" Wiley 34 (34): 1842-1856, 2013

13 Mark Jenkinson, "Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images" Elsevier BV 17 (17): 825-841, 2002

14 Scott A. Small, "Imaging hippocampal function across the human life span: Is memory decline normal or not?" Wiley 51 (51): 290-295, 2002

15 Y. Ostby, "Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years" Society for Neuroscience 29 (29): 11772-11782, 2009

16 Yanpei Wang, "Effects of Age and Sex on Subcortical Volumes" Frontiers Media SA 11 : 259-, 2019

17 N. Raz, "Differential aging of the medial temporal lobe: A study of a five-year change" Ovid Technologies (Wolters Kluwer Health) 62 (62): 433-438, 2004

18 Michael K. Dougherty, "Differences in subcortical structures in young adolescents at familial risk for schizophrenia: A preliminary study" Elsevier BV 204 (204): 68-74, 2012

19 Christopher R. Madan, "Cortical complexity as a measure of age-related brain atrophy" Elsevier BV 134 : 617-629, 2016

20 Christina J. Azevedo, "Contribution of normal aging to brain atrophy in MS" Ovid Technologies (Wolters Kluwer Health) 6 (6): e616-, 2019

21 Ross P. Carne, "Cerebral cortex: An MRI-based study of volume and variance with age and sex" Elsevier BV 13 (13): 60-72, 2006

22 Mark W. Woolrich, "Bayesian analysis of neuroimaging data in FSL" Elsevier BV 45 (45): S173-S186, 2009

23 Maria Eugenia Caligiuri, "Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review" Springer Science and Business Media LLC 13 (13): 261-276, 2015

24 Daniel L. Greenberg, "Aging, gender, and the elderly adult brain: An examination of analytical strategies" Elsevier BV 29 (29): 290-302, 2008

25 Stephen M. Smith, "Advances in functional and structural MR image analysis and implementation as FSL" Elsevier BV 23 : S208-S219, 2004

26 Mark Jenkinson, "A global optimisation method for robust affine registration of brain images" Elsevier BV 5 (5): 143-156, 2001

27 Brian Patenaude, "A Bayesian model of shape and appearance for subcortical brain segmentation" Elsevier BV 56 (56): 907-922, 2011