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-   -   MRI Can Now See Molecular Content of Our Brains (https://hameed.nwar.uk/vb/showthread.php?t=5104521)

rss 09-11-2019 10:08 PM

MRI Can Now See Molecular Content of Our Brains
 
MRI Can Now See Molecular Content of Our Brains
https://www.medgadget.com/wp-content...ular-brain.jpgAs we age, the molecular composition of our brain changes. This is a natural process, but it can also be associated with the presence of disease. Currently, there’s no practical way to study the molecular changes within living humans, and post-mortem studies are limited in the scientific information they can provide.

Now, scientists at the Hebrew University of Jerusalem have managed to use quantitative magnetic resonance imaging (qMRI) to peer into the brain and evaluate its molecular composition.

While qMRI is a powerful technique, its ability to study molecular content is muddled by water within tissues. MRIs are tuned to resonate hydrogen nuclei, so everything else becomes noise in the signal. The Israeli team used a “tissue relaxivity approach” to separate the water-borne signal from the rest of the data and to only study the molecular composition they were interested in.

Hopefully this new capability will allow other researchers to better understand the brain, help develop new therapies, and perhaps even slow the progression of brain aging.

Here’s a bit from the study abstract in Nature Communications:
Our approach enables us to reveal the molecular composition of lipid samples and predict lipidomics measurements of the brain. It produces unique molecular signatures across the brain, which are correlated with specific gene-expression profiles. We uncover region-specific molecular changes associated with brain aging. These changes are independent from other MRI aging markers. Our approach opens the door to a quantitative characterization of the biological sources for aging, that until now was possible only post-mortem.

Open access article in Nature Communications: Disentangling molecular alterations from water-content changes in the aging human brain using quantitative MRI

Via: Hebrew University of Jerusalem

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