The Aging Patterns of Brain Structure, Function, and Energy Metabolism

Overview

Journal Adv Exp Med Biol

Specialties Biology
General Medicine

Date 2023 Jul 7

PMID 37418208

Authors

Mingxi Dang

Feng Sang

Shijie Long

Yaojing Chen

Affiliations

Soon will be listed here.

Abstract

The normal aging process brings changes in brain structure, function, and energy metabolism, which are presumed to contribute to the age-related decline in brain function and cognitive ability. This chapter aims to summarize the aging patterns of brain structure, function, and energy metabolism to distinguish them from the pathological changes associated with neurodegenerative diseases and explore protective factors in aging. We first described the normal atrophy pattern of cortical gray matter with age, which is negatively affected by some neurodegenerative diseases and is protected by a healthy lifestyle, such as physical exercise. Next, we summarized the main types of age-related white matter lesions, including white matter atrophy and hyperintensity. Age-related white matter changes mainly occurred in the frontal lobe, and white matter lesions in posterior regions may be an early sign of Alzheimer's disease. In addition, the relationship between brain activity and various cognitive functions during aging was discussed based on electroencephalography, magnetoencephalogram, and functional magnetic resonance imaging. An age-related reduction in occipital activity is coupled with increased frontal activity, which supports the posterior-anterior shift in aging (PASA) theory. Finally, we discussed the relationship between amyloid-β deposition and tau accumulation in the brain, as pathological manifestations of neurodegenerative disease and aging.

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References

Leong R, Lo J, Sim S, Zheng H, Tandi J, Zhou J . Longitudinal brain structure and cognitive changes over 8 years in an East Asian cohort. Neuroimage. 2016; 147:852-860. DOI: 10.1016/j.neuroimage.2016.10.016. View

Scahill R, Frost C, Jenkins R, Whitwell J, Rossor M, Fox N . A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch Neurol. 2003; 60(7):989-94. DOI: 10.1001/archneur.60.7.989. View

Good C, Johnsrude I, Ashburner J, Henson R, Friston K, Frackowiak R . A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001; 14(1 Pt 1):21-36. DOI: 10.1006/nimg.2001.0786. View

Kim R, Yun C, Thomas R, Oh J, Johnson H, Kim S . Lifestyle-dependent brain change: a longitudinal cohort MRI study. Neurobiol Aging. 2018; 69:48-57. DOI: 10.1016/j.neurobiolaging.2018.04.017. View

Fletcher E, Gavett B, Harvey D, Farias S, Olichney J, Beckett L . Brain volume change and cognitive trajectories in aging. Neuropsychology. 2018; 32(4):436-449. PMC: 6525569. DOI: 10.1037/neu0000447. View

Chen F, Kang D, Chen F, Liu Y, Wu G, Li X . Gray matter atrophy associated with mild cognitive impairment in Parkinson's disease. Neurosci Lett. 2016; 617:160-5. DOI: 10.1016/j.neulet.2015.12.055. View

Phillips J, Da Re F, Dratch L, Xie S, Irwin D, McMillan C . Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease. Neurobiol Aging. 2017; 63:75-87. PMC: 5801003. DOI: 10.1016/j.neurobiolaging.2017.11.008. View

van der Zande J, Steenwijk M, Ten Kate M, Wattjes M, Scheltens P, Lemstra A . Gray matter atrophy in dementia with Lewy bodies with and without concomitant Alzheimer's disease pathology. Neurobiol Aging. 2018; 71:171-178. DOI: 10.1016/j.neurobiolaging.2018.07.005. View

Eshaghi A, Prados F, Brownlee W, Altmann D, Tur C, Cardoso M . Deep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol. 2018; 83(2):210-222. PMC: 5838522. DOI: 10.1002/ana.25145. View

10.

Driscoll I, Davatzikos C, An Y, Wu X, Shen D, Kraut M . Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology. 2009; 72(22):1906-13. PMC: 2690968. DOI: 10.1212/WNL.0b013e3181a82634. View

11.

Last N, Tufts E, Auger L . The Effects of Meditation on Grey Matter Atrophy and Neurodegeneration: A Systematic Review. J Alzheimers Dis. 2016; 56(1):275-286. DOI: 10.3233/JAD-160899. View

12.

Luders E, Kurth F, Toga A, Narr K, Gaser C . Meditation effects within the hippocampal complex revealed by voxel-based morphometry and cytoarchitectonic probabilistic mapping. Front Psychol. 2013; 4:398. PMC: 3705194. DOI: 10.3389/fpsyg.2013.00398. View

13.

Luders E, Toga A, Lepore N, Gaser C . The underlying anatomical correlates of long-term meditation: larger hippocampal and frontal volumes of gray matter. Neuroimage. 2009; 45(3):672-8. PMC: 3184843. DOI: 10.1016/j.neuroimage.2008.12.061. View

14.

Erickson K, Leckie R, Weinstein A . Physical activity, fitness, and gray matter volume. Neurobiol Aging. 2014; 35 Suppl 2:S20-8. PMC: 4094356. DOI: 10.1016/j.neurobiolaging.2014.03.034. View

15.

Zhang K, Sejnowski T . A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci U S A. 2000; 97(10):5621-6. PMC: 25878. DOI: 10.1073/pnas.090504197. View

16.

Acosta-Cabronero J, Williams G, Pengas G, Nestor P . Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease. Brain. 2009; 133(Pt 2):529-39. DOI: 10.1093/brain/awp257. View

17.

Bosch B, Arenaza-Urquijo E, Rami L, Sala-Llonch R, Junque C, Sole-Padulles C . Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging. 2010; 33(1):61-74. DOI: 10.1016/j.neurobiolaging.2010.02.004. View

18.

Huang J, Friedland R, Auchus A . Diffusion tensor imaging of normal-appearing white matter in mild cognitive impairment and early Alzheimer disease: preliminary evidence of axonal degeneration in the temporal lobe. AJNR Am J Neuroradiol. 2007; 28(10):1943-8. PMC: 2426747. DOI: 10.3174/ajnr.A0700. View

19.

ODwyer L, Lamberton F, Bokde A, Ewers M, Faluyi Y, Tanner C . Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease. PLoS One. 2011; 6(6):e21745. PMC: 3128090. DOI: 10.1371/journal.pone.0021745. View

20.

Shankar S . Biology of aging brain. Indian J Pathol Microbiol. 2010; 53(4):595-604. DOI: 10.4103/0377-4929.71995. View