Michael R Duggan
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Explore the profile of Michael R Duggan including associated specialties, affiliations and a list of published articles.
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33
Citations
191
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Recent Articles
1.
Tian Q, Greig E, Walker K, Duggan M, Yang Z, Moghekar A, et al.
Alzheimers Dement
. 2025 Feb;
21(2):e14612.
PMID: 39988983
Introduction: Dual cognitive and mobility decline is more strongly associated with dementia risk than cognitive decline only. It remains unknown whether this syndrome is associated with brain atrophy patterns, white...
2.
Duggan M, Paterson C, Lu Y, Biegel H, Dark H, Cordon J, et al.
Alzheimers Dement
. 2025 Feb;
21(2):e14549.
PMID: 39936291
Introduction: There is an unmet need for tools to quantify dementia risk during its multi-decade preclinical/prodromal phase, given that current biomarkers predict risk over shorter follow-up periods and are specific...
3.
Walker K, An Y, Moghekar A, Moaddel R, Duggan M, Peng Z, et al.
Mol Neurodegener
. 2024 Nov;
19(1):81.
PMID: 39482741
Background: Apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease (AD). This case-cohort study used targeted plasma biomarkers and large-scale proteomics to examine...
4.
Gomez G, Shi L, Fohner A, Chen J, Yang Y, Fornage M, et al.
medRxiv
. 2024 Oct;
PMID: 39417098
Cerebral small vessel disease (SVD), as defined by neuroimaging characteristics such as white matter hyperintensities (WMHs), cerebral microhemorrhages (CMHs), and lacunar infarcts, is highly prevalent and has been associated with...
5.
Duggan M, Peng Z, Sipila P, Lindbohm J, Chen J, Lu Y, et al.
Nat Aging
. 2024 Aug;
4(9):1263-1278.
PMID: 39143319
Infections have been associated with the incidence of Alzheimer disease and related dementias, but the mechanisms responsible for these associations remain unclear. Using a multicohort approach, we found that influenza,...
6.
Duggan M, Yang Z, Cui Y, Dark H, Wen J, Erus G, et al.
Alzheimers Dement
. 2024 Aug;
20(9):6486-6505.
PMID: 39129354
Introduction: Plasma proteomic analyses of unique brain atrophy patterns may illuminate peripheral drivers of neurodegeneration and identify novel biomarkers for predicting clinically relevant outcomes. Methods: We identified proteomic signatures associated...
7.
Duggan M, Gomez G, Joynes C, Bilgel M, Chen J, Fattorelli N, et al.
Brain Behav Immun
. 2024 Jul;
120:604-619.
PMID: 38977137
While immune function is known to play a mechanistic role in Alzheimer's disease (AD), whether immune proteins in peripheral circulation influence the rate of amyloid-β (Aβ) progression - a central...
8.
Dark H, An Y, Duggan M, Joynes C, Davatzikos C, Erus G, et al.
Alzheimers Res Ther
. 2024 Apr;
16(1):94.
PMID: 38689358
Background: Although blood-based biomarkers have been identified as cost-effective and scalable alternatives to PET and CSF markers of neurodegenerative disease, little is known about how these biomarkers predict future brain...
9.
Dark H, Duggan M, Walker K
Arch Clin Neuropsychol
. 2024 Mar;
39(3):313-324.
PMID: 38520383
Recent technological advances have improved the sensitivity and specificity of blood-based biomarkers for Alzheimer's disease and related dementias. Accurate quantification of amyloid-ß peptide, phosphorylated tau (pTau) isoforms, as well as...
10.
Casanova R, Walker K, Justice J, Anderson A, Duggan M, Cordon J, et al.
Geroscience
. 2024 Mar;
46(4):3861-3873.
PMID: 38438772
Machine learning models are increasingly being used to estimate "brain age" from neuroimaging data. The gap between chronological age and the estimated brain age gap (BAG) is potentially a measure...