HAI Book 2025 - Flipbook - Page 63
Identifying an optimal a´ cutoff point for
progression from mild cognitive impairment to
Alzheimer9s disease: comparing cognitive
performance and a´ pet insights
Amyloid modifies the association between latelife BMI and longitudinal cognition in cognitively
unimpaired individuals
Amyloid spatial extent captures early tau burden
and cognitive deficits, measured by PACC and
digital clock drawing test, in preclinical
Alzheimer9s disease
Findings from dynamic [18F]-MK6240 PET
imaging after motion and partial volume
corrections
Harmonization of MK6240 and Flortaucipir Braak
Staging
Comparison of MK-6240 PET and Flortaucipir
tau PET imaging for the biological staging of
Alzheimer9s disease
Impact of early-stage amyloidosis on tau
accumulation throughout the medial temporal
lobe and neocortex
Associations between age-related tau
deposition and neural selectivity in cognitively
unimpaired older adults
Posterior white matter hyperintensity is related
to the emergence of lobar cerebral microbleeds
in ADNI
Defining the grey zone thresholds for tau PET
positivity using the Uni�㔏 scale
Neocortical amyloid spatial extent predicts
cognitive decline over time in memory and
executive function domains
Patterns of tau-PET accumulation and clinical
progression according to biological AD stages
The Tau Progression Index (TPI): an
individualized, clinically applicable,
multimodally-derived score to predict AD
progression
Dried plasma spot optimization for the
NULISAseq CNS panel
Clinical validation of the Lumipulse G1200
automated immunoassay for the measurement
of Alzheimer9s disease plasma biomarkers
Sex differences in synaptic loss in early
Alzheimer9s disease
Assessing the generalizability of AD subtypes
across diverse cohorts: HABS-HD and ADNI
Locus coeruleus - medial temporal lobe
functional connectivity confers protection
against amyloid-related cognitive decline in the
context of high cognitive reserve
HAI2025 - 63
and Industrial Research Organisation (CSIRO),
Melbourne, AU
Pierrick Bourgeat, School of Psychological
Sciences and Turner Institute for Brain and
Mental Health, Monash University, Melbourne,
Australia, Melbourne, AU
Wai-Ying Wendy Yau, Massachusetts General
Hospital, Boston, MA, US
Jackson Thompson, Massachusetts General
Hospital, Harvard Medical School, Boston, MA,
US
Amal Tiss, Department of Radiology,
Massachusetts General Hospital and Harvard
Medical School, Boston, MA, US
Andreia Rocha, University of Pittsburgh,
Department of Psychiatry, Pittsburgh, PA, US
Marina Scop Medeiros, University of Pittsburgh,
Pittsburgh, PA, US
Elliott Slade, Athinoula A. Martinos Center for
Biomedical Imaging, Charlestown, MA, US
Jintao Sheng, Stanford University, Stanford, CA,
US
Daniel Saukkonen, Department of Neurology,
Brigham and Women's Hospital, Harvard Medical
School, Boston, MA, US
Guilherme Povala, University of Pittsburgh,
Department of Psychiatry, Pittsburgh, PA, US
Emma Thibault, Massachusetts General
Hospital, Boston, MA, US
Lydia Trudel, Translational Neuroimaging
Laboratory, McGill University, Montreal, QC, CA
Qolamreza Razlighi, Weill Cornell Medicine, New
York, NY, US
Rachael Wilson, Wisconsin Alzheimer's Disease
Research Center, School of Medicine and Public
Health, University of Wisconsin - Madison,
Madison, WI, US
Tevy Chan, Translational Neuroimaging
Laboratory, The McGill University Research
Centre for Studies in Aging, Montréal, QC,
Canada, Montreal, QC, CA
Jordan Galbraith, Department of Neurology,
Yale School of Medicine, New Haven, CT, US
Gordon Zhaoqi An, Devision of Computational
and Data Sciences at Washington University in
St. Louis, St. Louis, MO, US
Lukas Heinrich, Department of Radiology,
Massachusetts General Hospital / Harvard
Medical SChool, Boston, MA, US
