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Related Concept Videos

Brain Imaging01:14

Brain Imaging

384
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...
384

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Related Experiment Video

Updated: Oct 12, 2025

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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MR Brain Screening using Optimization Techniques - A Survey.

D Chitradevi1, S Prabha2

  • 1Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, New Delhi, India.

Current Medical Imaging
|November 26, 2021
PubMed
Summary
This summary is machine-generated.

This review highlights neuroimaging techniques for diagnosing Alzheimer's disease (AD), a common cause of dementia. Advanced methods show over 90% accuracy in detecting AD hallmarks from brain scans.

Keywords:
Alzheimer’s diseasebiomarkersclassificationmagnetic resonance imaging (MRI)optimization techniquessegmentation

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, affecting millions globally.
  • AD is pathologically defined by amyloid-beta plaques and neurofibrillary tangles, leading to brain atrophy and cognitive decline.
  • Early detection of AD is crucial, as pathological changes begin decades before symptom onset, necessitating advanced diagnostic tools.

Approach:

  • This study reviews neuroimaging technologies for Alzheimer's disease (AD) screening and diagnosis.
  • It explores methodologies for identifying pathological hallmarks like amyloid-beta and tau protein from brain images.
  • Various optimization techniques, including Grey Wolf, Lion, and Ant Lion optimization, are discussed for brain sub-region segmentation and biomarker analysis.

Key Points:

  • Neuroimaging plays a vital role in identifying the structural and functional changes associated with Alzheimer's disease.
  • Key pathological hallmarks, including amyloid-beta protein and hyperphosphorylated tau protein, are detectable through advanced imaging techniques.
  • The review highlights the effectiveness of various computational approaches, such as optimization algorithms, in analyzing neuroimaging data for AD detection.

Conclusions:

  • Neuroimaging technologies offer high accuracy, often exceeding 90%, for the assessment and screening of Alzheimer's disease.
  • The reviewed methodologies provide a robust framework for detecting AD hallmarks and evaluating disease progression.
  • These advanced techniques are essential for early diagnosis and effective management of neurodegenerative diseases like AD.