HAI Book 2025 - Flipbook - Page 56
matter microstructure in Black and White
individuals
Multi element MRI template method for analysis
of Down syndrome PET
Whole-blood gene expression associations with
A´-PET accumulation and cognitive decline
Longitudinal change in five dominant
dimensions of brain aging in relation to brain
amyloid status and Alzheimer9s-related plasma
biomarkers
Enrichment of patients with concomitant LATE
on the Alzheimer9s disease continuum using
hippocampal volume
AT(N) staging of Alzheimer9s disease:
Comparison of visual interpretation and
automated quantification pipelines
MK-6240 off-target binding patterns in relation
to microglia density, measured through TSPO
PET
Association between medication use and
[18F]MK6240 and [18F]Flortaucipir uptake
across the Alzheimer's disease spectrum
Lower LC-EC tract integrity is associated with
entorhinal tau in autosomal-dominant
Alzheimer9s disease
APOE4 associated with higher off-target
meninges signal with [F-18]MK6240 PET
An accurate and automated technique for
removing spill-over contamination and offtarget retention from a cerebellar reference
region for tau PET
Updated public CenTauR pipelines to measure
CenTauR, CenTauRZ, and SUVR tau PET units
Predicting regional Alzheimer9s disease
pathology with plasma p-tau217 in preclinical AD
TSPO-PET before and after low-dose
interleukin-2 in patients with mild to moderate
Alzheimer's disease
In low neocortical tau individuals, high amygdala
tau predicts faster cognitive decline
EOAD-signature atrophy predicts progression to
dementia in patients with early-onset MCI due to
Alzheimer9s disease
FDG reference region selection using PiB
amyloid status-guided iterative normalization in
a Down syndrome cohort
Microscopic visualization of fluorescent MK6240
Conversion of Tau PET SUVR data to CenTauR
units using the Joint Propagation Model
The role of cohort heterogeneity in predicting
AD/ADRD cognitive decline
HAI2025 - 56
Program (NSIDP), David Geffen School of
Medicine, Los Angeles, CA, USA., Los Angeles,
CA, US
Charles Laymon, University of Pittsburgh,
Pittsburgh, PA, US
Hannah Klinger, Massachusetts General
Hospital/Harvard Medical School, Boston, MA,
US
Murat Bilgel, Laboratory of Behavioral
Neuroscience, National Institute on Aging,
Baltimore, MD, US
Nidhi Mundada, University of Pennsylvania,
Philadelphia, PA, US
Brian Lopresti, Department of Radiology,
University of Pittsburgh School of Medicine,
Pittsburgh, PA, US
Lauren Heuer, Columbia University Medical
Center, New York, NY, US
Rayan Mroué, University of Pittsburgh,
Department of Psychiatry, Pittsburgh, PA, US
Elouise Koops, Martinos Center for Biomedical
Imaging, Department of Radiology,
Massachusetts General Hospital, Harvard
Medical School, Boston, MA, US
Andrew McVea, University of Wisconsin Madison, Madison, WI, US
Davneet Minhas, University of Pittsburgh,
Pittsburgh, PA, US
Christopher Schwarz, Mayo Clinic, Rochester,
MN, US
Hasom Moon, Stony Brook University, Stony
Brook, NY, US
Belen Pascual, Houston Methodist Stanley H.
Appel Department of Neurology, Houston
Methodist Research Institute, Weill Cornell
Medicine, Houston, TX, US
Bernard Hanseeuw, Mass General Brigham,
Boston, MA, US
Yuta Katsumi, Department of Biostatistics,
Center for Statistical Sciences, Brown
University, Providence, RI, US
Max McLachlan, University of Wisconsin Madison, Madison, WI, US
Peter Kunach, Center for Alzheimer9s and
Neurodegenerative Diseases, Peter O9Donnell Jr.
Brain Institute, Dallas, TX, US
Antoine Leuzy, Clinical Memory Research Unit,
Department of Clinical Sciences, Lund
University, Lund, SE
Peiwei Liu, Department of Neuroscience,
University of California, Berkeley, Berkeley, CA,
US
