Longitudinal susceptibility Mapping in Alzheimer´s Disease
Longitudinal susceptibility Mapping in Alzheimer´s Disease
Disciplines
Clinical Medicine (100%)
Keywords
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Magnetic susceptibility,
MRI,
Alzheimer´s disease,
QSM,
Iron
Abnormally increased brain iron accumulation in deep gray matter is a common finding in Alzheimers disease (AD) and due to its paramagnetic nature, iron is changing the magnetic susceptibility of brain tissue. Recent validation studies showed that brain iron can be measured precisely by the novel MRI technique quantitative susceptibility mapping (QSM) in vivo, thus, enabling reliable and precise longitudinal investigations. Furthermore, QSM was more sensitive to disease-induced changes in Parkinsons disease and multiple sclerosis than conventional MRI techniques. We hypothesize that pathologic brain iron accumulation can be assessed with higher sensitivity with QSM than with current MRI techniques such as R2* mapping and that regional QSM is a predictor for cognitive decline and disability. We propose an explorative longitudinal study including 50 patients with AD and age-matched control subjects which will be recruited for their 2 years follow-ups from our outpatient department and undergo extensive cognitive testing and quantitative 3 Tesla MRI. Regional differences of susceptibility and R2* in deep gray matter and the neocortex will be evaluated in AD patients and controls and related to the patients cognitive status at baseline. Follow-up MRI and clinical data with multivariate regression analysis serve to investigate the dynamics of AD-related changes of susceptibility, and their relation to cognitive functioning. With this explorative longitudinal study in a large patient cohort we aim to clarify whether regional iron deposition is a cause or merely epiphenomenon of AD and if changes of magnetic susceptibility can serve as a predictive marker for AD progression.
Research Output
- 697 Citations
- 17 Publications
- 2 Datasets & models
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2016
Title Iron quantification with susceptibility DOI 10.1002/nbm.3534 Type Journal Article Author Ropele S Journal NMR in Biomedicine -
2022
Title Strategic white matter hyperintensity locations for cognitive impairment: A multicenter lesion-symptom mapping study in 3525 memory clinic patients DOI 10.1002/alz.12827 Type Journal Article Author Coenen M Journal Alzheimer's & Dementia Pages 2420-2432 Link Publication -
2020
Title Cross-sectional and Longitudinal Assessment of Brain Iron Level in Alzheimer Disease Using 3-T MRI DOI 10.1148/radiol.2020192541 Type Journal Article Author Damulina A Journal Radiology Pages 192541 -
2022
Title Interpretable brain disease classification and relevance-guided deep learning DOI 10.1038/s41598-022-24541-7 Type Journal Article Author Tinauer C Journal Scientific Reports Pages 20254 Link Publication -
2021
Title Interpretable Brain Disease Classification and Relevance-Guided Deep Learning DOI 10.1101/2021.09.09.21263013 Type Preprint Author Tinauer C Pages 2021.09.09.21263013 Link Publication -
2017
Title Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge DOI 10.1002/mrm.26830 Type Journal Article Author Langkammer C Journal Magnetic Resonance in Medicine Pages 1661-1673 Link Publication -
2018
Title DeepQSM - Using Deep Learning to Solve the Dipole Inversion for MRI Susceptibility Mapping DOI 10.1101/278036 Type Preprint Author Rasmussen K Pages 278036 Link Publication -
2024
Title Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients DOI 10.1002/alz.13765 Type Journal Article Author Biesbroek J Journal Alzheimer's & Dementia Pages 2980-2989 Link Publication -
2022
Title Heritability of R2* iron in the basal ganglia and cortex DOI 10.18632/aging.204212 Type Journal Article Author Hofer E Journal Aging (Albany NY) Pages 6415-6426 Link Publication -
2020
Title The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design DOI 10.1002/mrm.28185 Type Journal Article Author Milovic C Journal Magnetic Resonance in Medicine Pages 1624-1637 Link Publication -
2020
Title Adaptive slice-specific z-shimming for 2D spoiled gradient-echo sequences DOI 10.1002/mrm.28468 Type Journal Article Author Soellradl M Journal Magnetic Resonance in Medicine Pages 818-830 Link Publication -
2019
Title SHARQnet - Sophisticated Harmonic Artifact Reduction in Quantitative Susceptibility Mapping using a Deep Convolutional Neural Network DOI 10.1101/522151 Type Preprint Author Bollmann S Pages 522151 Link Publication -
2019
Title White Matter Hyperintensities in Alzheimer’s Disease: A Lesion Probability Mapping Study DOI 10.3233/jad-180982 Type Journal Article Author Damulina A Journal Journal of Alzheimer's Disease Pages 789-796 -
2019
Title SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network DOI 10.1016/j.zemedi.2019.01.001 Type Journal Article Author Bollmann S Journal Zeitschrift für Medizinische Physik Pages 139-149 Link Publication -
2019
Title Assessment and correction of macroscopic field variations in 2D spoiled gradient-echo sequences DOI 10.1002/mrm.28139 Type Journal Article Author Soellradl M Journal Magnetic Resonance in Medicine Pages 620-633 Link Publication -
2023
Title Spatial distributions of white matter hyperintensities on brain MRI: A pooled analysis of individual participant data from 11 memory clinic cohorts DOI 10.1016/j.nicl.2023.103547 Type Journal Article Author Coenen M Journal NeuroImage: Clinical Pages 103547 Link Publication -
2016
Title Quantitative Susceptibility Mapping in Parkinson's Disease DOI 10.1371/journal.pone.0162460 Type Journal Article Author Langkammer C Journal PLOS ONE Link Publication
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2020
Link
Title Example data set for 2D adaptive slice-specific z-shimming DOI 10.5281/zenodo.4044429 Type Database/Collection of data Public Access Link Link -
2020
Link
Title Example data set for 2D adaptive slice-specific z-shimming DOI 10.5281/zenodo.4044428 Type Database/Collection of data Public Access Link Link