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      Viscoelastic Properties of Human Autopsy Brain Tissues as Biomarkers for Alzheimer's Diseases

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          Abstract

          The present study investigates viscoelastic properties of human autopsy brain tissue via nanoindentation to find feasible biomarkers for Alzheimer’s Disease (AD) in ex vivo condition and to understand the mechanics of the human brain better, especially on the difference before and after progression of AD. Viscoelastic properties of paraformaldehyde-fixed, paraffin-embedded thin (8 μm ) sectioned normal and AD affected human autopsy brain tissue samples are investigated via nanoindentation with a combined loading profile of a linear preloading and a sinusoidal loading at various loading frequencies from 0.01 - 10 Hz . In 1,200 indentation tests for 10 human autopsy brain tissue samples from 10 different subjects (5 AD cases and 5 normal controls), viscoelastic properties such as Young’s modulus, storage modulus, loss modulus, and loss factor of both gray and white matter brain tissues samples from normal and AD affected tissues were measured experimentally. We found that the normal brain tissues have higher Young’s modulus values than the AD affected brain tissues by 23.5 % and 27.9 % on average for gray and white matter, respectively, with statistically significant differences ( p < 0.0001) between the normal and AD affected brain tissues. Additionally, the AD affected brain tissues have much higher loss factor than the normal brain tissues on lower loading frequencies. AD is one of the leading causes of death in America and continues to affect a growing population. The challenges of recognizing the early pathological changes in brain tissue due to AD and diagnosing a patient has led to much research focused on finding biomarkers for the disease. In this regard, understanding the mechanics of brain tissues is increasingly recognized to play an important role in diagnosing brain diseases.

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          Author and article information

          Journal
          IEEE Transactions on Biomedical Engineering
          IEEE Trans. Biomed. Eng.
          Institute of Electrical and Electronics Engineers (IEEE)
          0018-9294
          1558-2531
          2018
          : 1
          Article
          10.1109/TBME.2018.2878555
          6605047
          30371351
          742d5e8f-0476-4ad8-b410-03cd66ee7ade
          © 2018
          History

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