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Brain Imaging01:14

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Lipidomics and Transcriptomics in Neurological Diseases
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Imaging Transcriptomics in Neurodegenerative Diseases.

Magdalena Mroczek1, Ahmed Desouky2, Wadid Sirry3

  • 1Centre for Gerontopsychiatric Medicine, Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich, Switzerland.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|December 28, 2020
PubMed
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Imaging transcriptomics links brain imaging and gene expression to understand neurodegeneration. This review highlights correlations in Alzheimer's and Parkinson's diseases, revealing key molecular processes.

Keywords:
Imaging transcriptomicsneurodegenerationneuroimaging

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Area of Science:

  • Neuroscience
  • Genomics
  • Medical Imaging

Background:

  • Imaging transcriptomics integrates neuroimaging and gene expression data.
  • Understanding gene expression patterns aids in elucidating neurodegenerative processes.
  • Neurodegenerative diseases like Alzheimer's and Parkinson's exhibit complex molecular changes.

Purpose of the Study:

  • To review recent findings on the correlation between neuroimaging and gene expression in neurodegenerative diseases.
  • To focus on Alzheimer's disease and Parkinson's disease.
  • To identify molecular mechanisms underlying neurodegeneration.

Main Methods:

  • Review of existing literature correlating neuroimaging features with gene expression data.
  • Analysis of studies focusing on Alzheimer's and Parkinson's disease.
  • Examination of connectome data to understand network vulnerability and disease spread.

Main Results:

  • Established associations between gene expression and neuroimaging markers (e.g., R2 relaxation time, cortical atrophy).
  • Identified positively correlated genes involved in cell motility, immune response, neuroinflammation, and microglia.
  • Confirmed focal nature of neurodegeneration and temporal spreading patterns.

Conclusions:

  • Gene expression in neuroimaging-defined degeneration areas is linked to cellular mobility and transport.
  • Immune-related genes, like Toll-like receptors, are upregulated in vulnerable regions, contributing to neuroinflammation.
  • Future research needs higher resolution data, standardized protocols, and sensitive early-stage biomarkers for targeted therapies.