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Journal articles on the topic 'Brain – Aging'

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Published: 4 June 2021
Last updated: 31 July 2024

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1

Selkoe, Dennis J. "Aging Brain, Aging Mind." Scientific American 267, no. 3 (September 1992): 134–42. http://dx.doi.org/10.1038/scientificamerican0992-134.

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2

&NA;, &NA;. "BRAIN AGING." Journal of Wound, Ostomy and Continence Nursing 12, no. 6 (November 1985): 28A. http://dx.doi.org/10.1097/00152192-198511000-00020.

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3

Cherdak, M. A. "Brain Aging." Problems of Geroscience, no. 2 (December 18, 2023): 71–79. http://dx.doi.org/10.37586/2949-4745-2-2023-71-79.

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Brain aging is part of the aging of the whole body, largely determining the success of general aging and the quality of life of an older person. Brain aging is a complex multifactorial process that occurs throughout a human’s life, which includes changes at subcellular, tissue, and organ levels as well as at physiological level, mediating changes in neurophysiological (cognitive) functions. The review provides up-to-date data on morphological and physiological changes observed during natural aging; various phenotypes of brain aging are discussed, including both pathologically accelerated and «supernormal» aging; questions of the division between the norm and pathology are raised in the context of changes observed during brain aging; the factors both accelerating and decelerating the aging processes of the brain are considered along with linkage of natural aging with neurodegenerative and cerebrovascular diseases.
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4

Cherdak, M. A. "Brain Aging." Advances in Gerontology 13, no. 2 (June 2023): 70–77. http://dx.doi.org/10.1134/s2079057024600198.

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5

Wu, Zhou, Janchun Yu, Aiqin Zhu, and Hiroshi Nakanishi. "Nutrients, Microglia Aging, and Brain Aging." Oxidative Medicine and Cellular Longevity 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/7498528.

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As the life expectancy continues to increase, the cognitive decline associated with Alzheimer’s disease (AD) becomes a big major issue in the world. After cellular activation upon systemic inflammation, microglia, the resident immune cells in the brain, start to release proinflammatory mediators to trigger neuroinflammation. We have found that chronic systemic inflammatory challenges induce differential age-dependent microglial responses, which are in line with the impairment of learning and memory, even in middle-aged animals. We thus raise the concept of “microglia aging.” This concept is based on the fact that microglia are the key contributor to the acceleration of cognitive decline, which is the major sign of brain aging. On the other hand, inflammation induces oxidative stress and DNA damage, which leads to the overproduction of reactive oxygen species by the numerous types of cells, including macrophages and microglia. Oxidative stress-damaged cells successively produce larger amounts of inflammatory mediators to promote microglia aging. Nutrients are necessary for maintaining general health, including the health of brain. The intake of antioxidant nutrients reduces both systemic inflammation and neuroinflammation and thus reduces cognitive decline during aging. We herein review our microglia aging concept and discuss systemic inflammation and microglia aging. We propose that a nutritional approach to controlling microglia aging will open a new window for healthy brain aging.
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6

Otomo, Eiichi. "Aging of brain." JOURNAL OF THE STOMATOLOGICAL SOCIETY,JAPAN 56, no. 2 (1989): 215–21. http://dx.doi.org/10.5357/koubyou.56.215.

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7

Villeda, Saul. "Healthy Brain Aging." Innovation in Aging 5, Supplement_1 (December 1, 2021): 196. http://dx.doi.org/10.1093/geroni/igab046.753.

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8

Yankner, Bruce A., Tao Lu, and Patrick Loerch. "The Aging Brain." Annual Review of Pathology: Mechanisms of Disease 3, no. 1 (February 2008): 41–66. http://dx.doi.org/10.1146/annurev.pathmechdis.2.010506.092044.

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9

Stern, P., P. J. Hines, and J. Travis. "The Aging Brain." Science 346, no. 6209 (October 30, 2014): 566–67. http://dx.doi.org/10.1126/science.346.6209.566.

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10

Brody, H. "The aging brain." Acta Neurologica Scandinavica 85, S137 (March 1992): 40–44. http://dx.doi.org/10.1111/j.1600-0404.1992.tb05037.x.

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11

Riddle, David R., and Matthew K. Schindler. "Brain aging research." Reviews in Clinical Gerontology 17, no. 04 (November 2007): 225. http://dx.doi.org/10.1017/s0959259808002530.

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12

Vernadakis, Antonia. "The Aging Brain." Clinics in Geriatric Medicine 1, no. 1 (February 1985): 61–94. http://dx.doi.org/10.1016/s0749-0690(18)30960-1.

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13

Meckler, Roy J. "The Aging Brain." Journal of Neuro-Ophthalmology 24, no. 2 (June 2004): 181. http://dx.doi.org/10.1097/00041327-200406000-00020.

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14

Hollis-Sawyer, Lisa. "The Aging Brain." Activities, Adaptation & Aging 44, no. 4 (September 18, 2020): 341–48. http://dx.doi.org/10.1080/01924788.2020.1823112.

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15

Rowland, Christopher V. "Our aging brain." American Journal of Alzheimer's Disease & Other Dementiasr 17, no. 2 (March 2002): NP. http://dx.doi.org/10.1177/153331750201700201.

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16

Katzman, Robert. "The Aging Brain." Archives of Neurology 54, no. 10 (October 1, 1997): 1201. http://dx.doi.org/10.1001/archneur.1997.00550220017007.

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17

Kaye, Jeffrey A. "Healthy Brain Aging." Archives of Neurology 59, no. 11 (November 1, 2002): 1721. http://dx.doi.org/10.1001/archneur.59.11.1721.

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18

Branca, Malorye. "Fixing Aging Brain." Inside Precision Medicine 10, no. 5 (October 1, 2023): 28–31. http://dx.doi.org/10.1089/ipm.10.05.06.

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19

Escriou, C. "Brain aging in humans, brain aging in dogs, which similarities?" Journal of Veterinary Behavior 7, no. 6 (November 2012): e4. http://dx.doi.org/10.1016/j.jveb.2012.09.014.

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20

Dexte, Micki. "Brain Atrophy Rates in Normal Aging and Alzheimer Disease." Neuroscience and Neurological Surgery 1, no. 1 (February 27, 2017): 01–02. http://dx.doi.org/10.31579/2578-8868/009.

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The objectives of this study were to (1) compare atrophy rates associated with normal aging and Alzheimer disease (AD) using the semi-automated Boundary Shift Integral (BSI) method and manual tracing of the entorhinal cortex (ERC) and hippocampus and (2) calculate power of BSI vs. ERC and hippocampal volume changes for clinical trials in AD. We quantified whole brain and ventricular BSI atrophy rates and ERC and hippocampal atrophy rates from longitudinal MRI data in 20 AD patients and 22 age-matched healthy controls.
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21

Dexte, Micki. "Brain Atrophy Rates in Normal Aging and Alzheimer Disease." Neuroscience and Neurological Surgery 1, no. 1 (February 27, 2017): 01–02. http://dx.doi.org/10.31579/2578-8868/009.

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The objectives of this study were to (1) compare atrophy rates associated with normal aging and Alzheimer disease (AD) using the semi-automated Boundary Shift Integral (BSI) method and manual tracing of the entorhinal cortex (ERC) and hippocampus and (2) calculate power of BSI vs. ERC and hippocampal volume changes for clinical trials in AD. We quantified whole brain and ventricular BSI atrophy rates and ERC and hippocampal atrophy rates from longitudinal MRI data in 20 AD patients and 22 age-matched healthy controls.
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22

Mather, Mara. "AUTONOMIC ACTIVITY AND THE AGING BRAIN." Innovation in Aging 7, Supplement_1 (December 1, 2023): 67. http://dx.doi.org/10.1093/geroni/igad104.0215.

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Abstract Aging affects both autonomic activity and the brain regions that help modulate autonomic activity. In this symposium, we present new findings on how the relationships between autonomic activity and the brain change in aging. In addition, we demonstrate that modulating autonomic activity can affect the aging brain and emotional and cognitive functions controlled by the brain. Kathy Liu will present research from over 600 participants showing that, unlike younger adults who show the expected positive relationship between heart rate variability (HRV) and brain and behavioral indicators of emotion regulation, older adults showed a negative relationship between HRV and emotion regulation. Julian Thayer will present findings on how blood pressure and total peripheral resistance relate to brain structure. Richard Song will present functional MRI data revealing that the older brain shows less blood oxygen level dependent (BOLD) response to physiological fluctuations than younger brains. Jungwon Min will present findings that random assignment to daily biofeedback to either increase or decrease heart rate oscillations had a large effect on plasma amyloid-β. Mara Mather will present a new theoretical model positing that older brains attempt to compensate for hyperactive peripheral sympathetic activity, and that this ventromedial prefrontal compensatory activity leads to the biases in attention and memory known as the age-related positivity effect. Together, the empirical findings and theoretical perspectives presented in this symposium indicate that the autonomic system exerts important influences over the aging brain and that this provides a significant opportunity for intervening to improve brain health.
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23

Sai Sailesh, Kumar, Rose Usha, Padmanabha Padmanabha, Jobby Abraham, and Mukkadan J K. "Can Controlled Vestibular Stimulation Delay Brain Aging?" Asian Journal of Health Sciences 1, no. 1 (December 1, 2013): 11–13. http://dx.doi.org/10.15419/ajhs.v1i1.408.

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Aging is believed to be a first-order risk factor for most neurodegenerative disorders. Brain changes do not occur to the same extent in all brain regions.7 Men and women may also differ with frontal and temporal lobes most affected in men compared with the hippocampus and parietal lobes in women. The neurotransmitters most often discussed with regard to ageing are dopamine, serotonin and acetyl-choline. Vestibular stimulation modulates the neuro-transmitters which are involved in brain aging and delay aging. Hence we recommend controlled vestibular stimulation to all. This in the need of time to identify the importance of vestibular system and to start translational research in this area.
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24

Mohajeri, M. "Brain Aging and Gut–Brain Axis." Nutrients 11, no. 2 (February 18, 2019): 424. http://dx.doi.org/10.3390/nu11020424.

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In the last decade, the microbiome in general and the gut microbiome in particular have been associated not only to brain development and function, but also to the pathophysiology of brain aging and to neurodegenerative disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), depression, or multiple sclerosis (MS) [...]
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25

Cohen, Gene D. "The Aging Brain vs. The Aging Body." American Journal of Geriatric Psychiatry 7, no. 2 (March 1999): 93–95. http://dx.doi.org/10.1097/00019442-199905000-00001.

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26

Cohen, Gene D. "The Aging Brain vs. The Aging Body." American Journal of Geriatric Psychiatry 7, no. 2 (1999): 93–97. http://dx.doi.org/10.1097/00019442-199921720-00001.

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27

Jia, Kun, and Heng Du. "Mitochondrial Permeability Transition: A Pore Intertwines Brain Aging and Alzheimer’s Disease." Cells 10, no. 3 (March 15, 2021): 649. http://dx.doi.org/10.3390/cells10030649.

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Advanced age is the greatest risk factor for aging-related brain disorders including Alzheimer’s disease (AD). However, the detailed mechanisms that mechanistically link aging and AD remain elusive. In recent years, a mitochondrial hypothesis of brain aging and AD has been accentuated. Mitochondrial permeability transition pore (mPTP) is a mitochondrial response to intramitochondrial and intracellular stresses. mPTP overactivation has been implicated in mitochondrial dysfunction in aging and AD brains. This review summarizes the up-to-date progress in the study of mPTP in aging and AD and attempts to establish a link between brain aging and AD from a perspective of mPTP-mediated mitochondrial dysfunction.
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28

Han, L., H. Schnack, R. Brouwer, D. Veltman, N. Van Der Wee, M. J. Van Tol, M. Aghajani, and B. Penninx. "Brain aging in major depressive disorder." European Psychiatry 64, S1 (April 2021): S63. http://dx.doi.org/10.1192/j.eurpsy.2021.196.

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Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with Major Depressive Disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in patients with MDD and/or anxiety disorders and examine which factors contribute to older appearing brains. Adults aged 18-57 years from the Netherlands Study of Depression and Anxiety underwent structural MRI. A pre-trained brain age prediction model based on >2,000 samples from the ENIGMA consortium was applied to obtain brain-predicted age differences (brain-PAD, predicted brain age minus chronological age) in 65 controls and 220 patients with current MDD and/or anxiety. Brain-PAD estimates were associated with clinical, somatic, lifestyle, and biological factors. After correcting for antidepressant use, brain-PAD was significantly higher in MDD (+2.78 years, Cohen’s d=0.25, 95% CI -0.10-0.60) and anxiety patients (+2.91 years, Cohen’s d=0.27, 95% CI -0.08-0.61), compared to controls. There were no significant associations with lifestyle or biological stress systems. A multivariable model indicated unique contributions of higher severity of somatic depression symptoms (b=4.21 years per unit increase on average sum score) and antidepressant use (-2.53 years) to brain-PAD. Advanced brain aging in patients with MDD and anxiety was most strongly associated with somatic depressive symptomatology. We also present clinically relevant evidence for a potential neuroprotective antidepressant effect on the brain-PAD metric that requires follow-up in future research.DisclosureNo significant relationships.
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29

Chikkanarayanappa, Venkateshappa, and Harish Gangadharappa. "Pathophysiology of Brain Aging: A Brief Account on Molecular Changes." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 05, no. 2 (June 15, 2015): 54–63. http://dx.doi.org/10.58739/jcbs/v05i2.11.

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30

Hussaini, Syed Mohammed Qasim, and Mi-Hyeon Jang. "BubR1 and brain aging." Aging 9, no. 9 (October 2, 2017): 1955–56. http://dx.doi.org/10.18632/aging.101300.

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31

Pauwels, Lisa, Sima Chalavi, and Stephan P. Swinnen. "Aging and brain plasticity." Aging 10, no. 8 (August 1, 2018): 1789–90. http://dx.doi.org/10.18632/aging.101514.

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32

Isaev, Nickolay K., Elena V. Stelmashook, and Elisaveta E. Genrikhs. "Neurogenesis and brain aging." Reviews in the Neurosciences 30, no. 6 (July 26, 2019): 573–80. http://dx.doi.org/10.1515/revneuro-2018-0084.

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AbstractHuman aging affects the entire organism, but aging of the brain must undoubtedly be different from that of all other organs, as neurons are highly differentiated postmitotic cells, for the majority of which the lifespan in the postnatal period is equal to the lifespan of the entire organism. In this work, we examine the distinctive features of brain aging and neurogenesis during normal aging, pathological aging (Alzheimer’s disease), and accelerated aging (Hutchinson-Gilford progeria syndrome and Werner syndrome).
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33

Almeida, Osborne F. X. "Aging Brain is Born." Aging Brain 1 (2021): 100006. http://dx.doi.org/10.1016/j.nbas.2021.100006.

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34

Shatzmiller, Shimon, Galina M Zat, and Inbal Lapidot. "Brain Imaging and Aging." Acta Scientific Neurology 3, no. 8 (July 30, 2020): 42–53. http://dx.doi.org/10.31080/asne.2020.03.0209.

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35

Shankar, SK. "Biology of aging brain." Indian Journal of Pathology and Microbiology 53, no. 4 (2010): 595. http://dx.doi.org/10.4103/0377-4929.71995.

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36

Igase, Michiya, Toru Mizoguchi, Yoichi Ogushi, Tetsuro Miki, and Akira Ueki. "Brain Aging and Nutrition." ANTI-AGING MEDICINE 7, no. 14 (2010): 167–73. http://dx.doi.org/10.3793/jaam.7.167.

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37

Baranowska-Bik, Agnieszka, and Wojciech Bik. "Insulin and brain aging." Menopausal Review 2 (2017): 44–46. http://dx.doi.org/10.5114/pm.2017.68590.

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38

Garaschuk, Olga. "Understanding normal brain aging." Pflügers Archiv - European Journal of Physiology 473, no. 5 (April 22, 2021): 711–12. http://dx.doi.org/10.1007/s00424-021-02567-6.

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39

Aron, Liviu, Joseph Zullo, and Bruce A. Yankner. "The adaptive aging brain." Current Opinion in Neurobiology 72 (February 2022): 91–100. http://dx.doi.org/10.1016/j.conb.2021.09.009.

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40

Lin, Feng, Yeates Conwell, and Janine Simmons. "New Brain Aging Center." Innovation in Aging 5, Supplement_1 (December 1, 2021): 202–3. http://dx.doi.org/10.1093/geroni/igab046.779.

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Abstract Evidence indicates an association between emotional well-being (EWB) and underlying brain processes, and that those processes change with both normal and pathological brain aging. However, the nature of these associations, the mechanisms by which EWB and its component domains change with brain aging, and how those changes may be associated with common neuropathologies like Alzheimer’s disease and related dementias (ADRD), are largely unexplored. The NIA-funded Network for Emotional Well-being and Brain Aging (NEW Brain Aging) has the goal of developing a nationwide community of investigators dedicated to research that identifies and tests mechanisms by which brain aging influences EWB and how EWB may impact risk for and progression of ADRD. Synthesizing human and animal literature, our premise is that relationships between EWB and ADRD are bidirectional – normal and pathological changes in aging brain influence EWB and EWB contributes to brain health and illness, such as ADRD. NEW Brain Aging will identify and coalesce resources for interested investigators and provide pilot funding opportunities to stimulate research and development of the field. Component presentations of this symposium will include (1) an overview by Dr. Robert Kaplan of the current state of research on EWB; (2) the role of animal studies (Kuan Hong Wang) and (3) human subjects research (Feng Vankee Lin) in EWB and aging; and (4) design of NEW Brain Aging and resources it will provide (Yeates Conwell). Janine Simmons will explain NIA’s vision for EWB research and lead open discussion.
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41

Salmina, A. B., Yu K. Komleva, N. V. Kuvacheva, O. L. Lopatina, E. A. Pozhilenkova, Ya V. Gorina, E. D. Gasymly, Yu A. Panina, A. V. Morgun, and N. A. Malinovskaya. "Inflammation and Brain Aging." Annals of the Russian academy of medical sciences 70, no. 1 (2015): 17–25. http://dx.doi.org/10.15690/vramn.v70i1.1227.

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42

Fryer, David G. "Understanding the aging brain." Postgraduate Medicine 80, no. 6 (November 1986): 99–111. http://dx.doi.org/10.1080/00325481.1986.11699592.

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43

ANDO, Susumu. "Aging Brain and Lipids." Journal of Japan Oil Chemists' Society 41, no. 9 (1992): 757–61. http://dx.doi.org/10.5650/jos1956.41.757.

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44

Busse, Ewald W. "The Brain and Aging." Clinical Obstetrics and Gynecology 29, no. 2 (June 1986): 374–83. http://dx.doi.org/10.1097/00003081-198606000-00019.

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45

Sekiya, Felipe Seiti, and Suely Kazue Nagahashi Marie. "Mitochondriogenesis and brain aging." Revista de Medicina 97, no. 6 (December 30, 2018): 604–6. http://dx.doi.org/10.11606/issn.1679-9836.v97i6p604-606.

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46

Gottfries, C. G. "Aging and the Brain." Alzheimer Disease & Associated Disorders 3, no. 1 (1989): 118. http://dx.doi.org/10.1097/00002093-198903010-00011.

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47

THAKUR, MAHENDRA K. "Estrogen and Brain Aging." Journal of Anti-Aging Medicine 2, no. 2 (January 1999): 127–32. http://dx.doi.org/10.1089/rej.1.1999.2.127.

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48

Cohadon, F., and P. Desbordes. "Brain Water and Aging." Gerontology 32, no. 1 (1986): 46–49. http://dx.doi.org/10.1159/000212827.

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49

Pandin, Pierre, Isabel Estruc, Delphine Van Hecke, Ha-Nam Truong, Lucia Marullo, Stephane Hublet, and Luc Van Obbergh. "Brain Aging and Anesthesia." Journal of Cardiothoracic and Vascular Anesthesia 33 (August 2019): S58—S66. http://dx.doi.org/10.1053/j.jvca.2019.03.042.

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50

Tomonaga, Masanori. "Aging of the brain." Kobunshi 34, no. 10 (1985): 824–27. http://dx.doi.org/10.1295/kobunshi.34.824.

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