HAI2024 Book - Flipbook - Page 46
Wednesday, January 17, 2024
43
[18F]-PI-2620 tau PET signal across the
aging and Alzheimer9s Disease clinical
spectrum
Christina Young, Department of Neurology
and Neurological Sciences, Stanford
University School of Medicine, Palo Alto, CA,
US
44
Amyloid-induced hyperconnectivity drives
tau spreading across connected brain
regions in Alzheimer9s disease
Sebastian Niclas Roemer, University
Hospital, LMU Munich, Munich, Germany
45
A Visual-read algorithm for tau pathology
using [18F]RO948
Ruben Smith, Clinical Memory Research Unit,
Department of Clinical Sciences, Lund
University, Lund, Sweden
46
Establishing the interchangeability
between CSF and PET for identifying
Samantha C Burnham, Eli Lilly and Company,
patients with Alzheimer's disease pathology
Indiana, IN, US
who are suitable for amyloid targeting
therapies
47
Exploring A-T+ within the AT(N) framework
Brian Lopresti, Department of Radiology,
University of Pittsburgh School of Medicine,
Pittsburgh, PA, US
48
Sex-specific synergistic interaction
between A´ and p-tau predicts faster
tangle accumulation in females
Yi-Ting Wang, Translational Neuroimaging
Laboratory, McGill Research Centre for
Studies in Aging, Montreal, QC, CA
49
Comparison of visual interpretation and
quantitation in detecting amyloid pathology
using florbetapir F-18 PET imaging: results Jian Wang, Eli Lilly and Company,
from nuclear medicine physicians or
Indianapois, IN, US
radiologists practicing at community
healthcare settings
50
Parental history of memory impairment
predicts ´-amyloid burden and positivity in
a preclinical population
Mabel Seto, Harvard Aging Brain Study,
Department of Neurology, Massachusetts
General Hospital, Boston, MA, US
51
A head-to-head comparison between
plasma p-tau217 and tau-PET for predicting
future cognitive decline among cognitively
unimpaired individuals
Rik Ossenkoppele, Clinical Memory Research
Unit, Department of Clinical Sciences in
Malmö, Lund University, Lund, Sweden.,
Lund, Sweden
52
Comparison of amyloid PET and plasma
biomarkers in predicting future memory
decline among cognitively normal
individuals
Murat Bilgel, Laboratory of Behavioral
Neuroscience, National Institute on Aging,
Baltimore, MD, US
HAI2024 - 46