Neuroimaging Genetics and Network Analysis in Alzheimer's Disease Dementia.
Seok Woo MoonPublished in: Current Alzheimer research (2023)
The issue of the genetics in brain imaging phenotypes serves as a crucial link between two distinct scientific fields: neuroimaging genetics (NG). The articles included here provide solid proof that this NG link has considerable synergy. There is a suitable collection of articles that offer a wide range of viewpoints on how genetic variations affect brain structure and function. They serve as illustrations of several study approaches used in contemporary genetics and neuroscience. Genome-wide association studies and candidate-gene association are two examples of genetic techniques. Cortical gray matter structural/volumetric measures from magnetic resonance imaging (MRI) are sources of information on brain phenotypes. Together, they show how various scientific disciplines have benefited from significant technological advances, such as the single-nucleotide polymorphism array in genetics and the development of increasingly higher-resolution MRI imaging. Moreover, we discuss NG's contribution to expanding our knowledge about the heterogeneity within Alzheimer's disease as well as the benefits of different network analyses.
Keyphrases
- magnetic resonance imaging
- network analysis
- high resolution
- resting state
- contrast enhanced
- white matter
- genome wide
- genome wide association
- copy number
- functional connectivity
- healthcare
- diffusion weighted imaging
- computed tomography
- cerebral ischemia
- magnetic resonance
- mild cognitive impairment
- gene expression
- high throughput
- single cell
- dna methylation
- transcription factor
- cognitive impairment
- drinking water
- health information
- high density