Characterizing local brain aging patterns in healthy subjects in structural magnetic resonance images

2020 ◽  
Author(s):  
Miguel Caro ◽  
Diana Giraldo ◽  
Eduardo Romero
Keyword(s):  
Magnetic Resonance ◽  
Healthy Subjects ◽  
Brain Aging ◽  
Magnetic Resonance Images ◽  
Local Brain

Reliable manual segmentation of the frontal, parietal, temporal, and occipital lobes on magnetic resonance images of healthy subjects

2005 ◽  
Vol 14 (3) ◽  
pp. 135-145 ◽  
Author(s):  
Arun L.W. Bokde ◽  
Stefan J. Teipel ◽  
Robert Schwarz ◽  
Gerda Leinsinger ◽  
Katharina Buerger ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Healthy Subjects ◽  
Magnetic Resonance Images ◽  
Manual Segmentation ◽  
Occipital Lobes

scholarly journals Using deep learning to predict brain age from brain magnetic resonance images and cognitive tests reveals that anatomical and functional brain aging are phenotypically and genetically distinct

2021 ◽  
Author(s):  
Alan Le Goallec ◽  
Samuel Diai ◽  
Sasha Collin ◽  
Theo Vincent ◽  
Chirag J Patel
Keyword(s):  
Magnetic Resonance ◽  
Genetic Factors ◽  
Brain Aging ◽  
Magnetic Resonance Images ◽  
Brain Diseases ◽  
World Population ◽  
Cognitive Tests ◽  
Functional Brain ◽  
Age Related ◽  
Brain Age

With the world population aging, the prevalence of age-related brain diseases such as Alzheimer's, Parkinson's, Lou Gehrig's, and cerebrovascular diseases. In the following, we built brain age predictors by leveraging 46,000 brain magnetic resonance images [MRIs] and cognitive tests from UK Biobank participants. We predicted age with a R-Squared [R2] of 76.4+/-1.0% and a root mean squared error of 3.58+/-0.05 years. We defined accelerated brain aging as the difference between brain age (predicted age) and age. Accelerated brain aging is partially heritable (h_g2=35.9+/-2.6%), and is associated with 219 single nucleotide polymorphisms [SNPs] in 25 genes (e.g CRHR1, involved in the hypothalamic-pituitary-adrenal pathway). Similarly, it is associated with biomarkers (e.g blood pressure), clinical phenotypes (e.g general health), diseases (e.g diabetes), environmental (e.g smoking) and socioeconomic variables (e.g income and education). We performed the same analysis, this time distinguishing between anatomical (MRI-based) and functional (cognitive tests-based) brain aging. We found the two accelerated aging phenotypes to be phenotypically .112+/-.006 correlated and genetically uncorrelated, with distinct SNPs and non-genetic factors associated with each. In conclusion, anatomical and functional brain aging are two distinct, complex phenotypes, which also differ in their genetic and non-genetic factors. Our brain predictors could be used to monitor the effects of emerging rejuvenating therapies on the brain.

An emerging technology: Nuclear magnetic resonance microscopy

1988 ◽  
Vol 46 ◽  
pp. 1000-1001
Author(s):  
M.J. Hennessy ◽  
E. Kwok
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Relaxation Times ◽  
Basic Research ◽  
Local Environment ◽  
Magnetic Resonance Images ◽  
Nmr Microscopy ◽  
Mri Scans ◽  
Temperature Relaxation ◽  
Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

Functional information from magnetic resonance imaging

1995 ◽  
Vol 53 ◽  
pp. 84-85
Author(s):  
Alan P. Koretsky ◽  
Afonso Costa e Silva ◽  
Yi-Jen Lin
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Cancer Biology ◽  
Imaging Modality ◽  
Magnetic Resonance Images ◽  
Great Success ◽  
Functional Information ◽  
Resonance Imaging ◽  
High Resolution Mri

Magnetic resonance imaging (MRI) has become established as an important imaging modality for the clinical management of disease. This is primarily due to the great tissue contrast inherent in magnetic resonance images of normal and diseased organs. Due to the wide availability of high field magnets and the ability to generate large and rapidly switched magnetic field gradients there is growing interest in applying high resolution MRI to obtain microscopic information. This symposium on MRI microscopy highlights new developments that are leading to increased resolution. The application of high resolution MRI to significant problems in developmental biology and cancer biology will illustrate the potential of these techniques.In combination with a growing interest in obtaining high resolution MRI there is also a growing interest in obtaining functional information from MRI. The great success of MRI in clinical applications is due to the inherent contrast obtained from different tissues leading to anatomical information.

Anatomical Description of an Infant Bottlenose Dolphin (Tursiops truncatus) Brain from Magnetic Resonance Images

2004 ◽  
Vol 30 (2) ◽  
pp. 315-326 ◽  
Author(s):  
Lori Marino ◽  
Keith Sudheimer ◽  
D. Ann Pabst ◽  
William A. Mclellan ◽  
Saima Arshad ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Bottlenose Dolphin ◽  
Tursiops Truncatus ◽  
Magnetic Resonance Images
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