Diamagnetic susceptibility and relationship to amyloid burden in Alzheimer’s Disease

Motivation: Alzheimer's disease (AD) is a progressive neurological disorder affecting cognitive functions, memory, and behavior, primarily in older adults. It's marked by abnormal protein deposits, including beta-amyloid plaques and tau tangles in the brain, causing nerve cell dysfunction and death. Goal(s): Positron Emission Tomography (PET) detects beta-amyloid but has limitations. High-resolution MRI imaging can detect beta-amyloid, focusing on diamagnetic properties associated with electron density. Approach: Quantitative susceptibility mapping (QSM) is particularly effective at 7 Tesla MRI, offering high sensitivity and better neuroanatomy details. Results: The study utilized 7T MRI to measure beta-amyloid's diamagnetic susceptibility in AD patients using separated QSM technique. Impact: In this study we leveraged the high susceptible sensitivity of 7T MRI to measure the diamagnetic susceptibility of beta-amyloid aggregated in the brain of Alzheimer's disease patients using separated quantitative susceptibility mapping.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4054
Primary Topic
Electromagnetic Fields and Biological Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diamagnetic susceptibility and relationship to amyloid burden in Alzheimer’s Disease

Mary A. Logan, Priti Balchandani, Sonja Binder, Mert Şişman et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Electromagnetic Fields and Biological Effects
article

Diamagnetic susceptibility and relationship to amyloid burden in Alzheimer’s Disease

Mary A. Logan, Priti Balchandani, Sonja Binder, Mert Şişman, Akbar Alipour, Trey Hedden, Fang Ma, Laya Ashouri, Bradley Delmen
article en

Abstract

Motivation: Alzheimer's disease (AD) is a progressive neurological disorder affecting cognitive functions, memory, and behavior, primarily in older adults. It's marked by abnormal protein deposits, including beta-amyloid plaques and tau tangles in the brain, causing nerve cell dysfunction and death. Goal(s): Positron Emission Tomography (PET) detects beta-amyloid but has limitations. High-resolution MRI imaging can detect beta-amyloid, focusing on diamagnetic properties associated with electron density. Approach: Quantitative susceptibility mapping (QSM) is particularly effective at 7 Tesla MRI, offering high sensitivity and better neuroanatomy details. Results: The study utilized 7T MRI to measure beta-amyloid's diamagnetic susceptibility in AD patients using separated QSM technique. Impact: In this study we leveraged the high susceptible sensitivity of 7T MRI to measure the diamagnetic susceptibility of beta-amyloid aggregated in the brain of Alzheimer's disease patients using separated quantitative susceptibility mapping.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 86%
Electromagnetic Fields and Biological Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.