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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
958

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Imaging Neurodegeneration: Steps Toward Brain Network-Based Pathophysiology and Its Potential for Multi-modal Imaging

C Sorg1,2,3, J Göttler4,5, C Zimmer4

  • 1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaningerstr. 22, 81675, München, Germany. c.sorg@lrz.tum.de.

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Neuroimaging reveals that impaired brain network connectivity is central to neurodegenerative diseases like Alzheimer's. This understanding supports developing new multimodal diagnostic tools for early detection and characterization.

Keywords:
Alzheimer’s diseaseIntrinsic brain networksMulti-modal imagingNeurodegenerative diseases

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Neurology

Background:

  • Multi-modal brain imaging offers diverse in vivo perspectives on brain disorders.
  • Resting-state functional magnetic resonance imaging (rs-fMRI) is key for studying intrinsic brain networks in neurodegeneration.

Purpose of the Study:

  • To review key findings in intrinsic network-based pathophysiology of neurodegenerative diseases.
  • To highlight the potential of network-based multimodal tools for diagnostic applications.

Main Methods:

  • Qualitative review of selected multi-modal imaging studies.
  • Focus on neurodegenerative diseases, particularly Alzheimer's disease (AD).

Main Results:

  • Functional connectivity is selectively and progressively impaired in AD, preceding symptom onset in critical networks.
  • Amyloid-β plaque distribution and atrophy correlate with network connectivity changes.
  • Similar network pathophysiology patterns are observed across various neurodegenerative disorders.

Conclusions:

  • Neurodegeneration spread is intrinsically linked to intrinsic brain network functional connectivity.
  • These insights enable the development of novel multi-modal, network-based diagnostic tools for individual patient assessment.