HAI2024 Book - Flipbook - Page 22
05
Distinct effects of cholesterol profile
components on amyloid and vascular
burdens
Kang | Yoo | Kim | Seo
Kang, Sung
Hoon
84
Unlocking tau PET accessibility: a
machine learning-based prediction
of tau pathology from plasma, MRI
and clinical variables
Karlsson | Vogel | Strandberg | Arvidsson |
Åström | Seidlitz | Bethlehem | Stomrud |
Ossenkoppele | Ashton | Blennow | Palmqvist |
Smith | Janelidze | Pichet Binette | MattsonCarlgren | Hansson
Karlsson, Linda
Katsumi | Howe | Eckbo | Wong | Quimby |
Hochberg | McGinnis | Putcha | Touroutoglou |
Dickerson
Katsumi, Yuta
Kim | Hudson | Yuan | Lipford | Lyu | Whitlow
Kim, Jeongchul
Kim | Taboada | Liu | Maciarz | Armstrong |
Palekar | Weisenbach
Kim, Min-Jeong
Koops | Dutta | Becker | van Egroo | Hanseeuw |
Sperling | Johnson | Jacobs
Koops, Elouise
Kothapalli | Milchenko | Benzinger | Goyal |
Eldeniz | Marcus | Morris | Yablonskiy | Raichle
Kothapalli,
Satya VVN
33
24
58
96
142
108
31
04
126
119
97
Tau PET signal within the default
mode network predicts longitudinal
clinical decline in atypical early
Alzheimer9s disease
Relationship between enlarged
perivascular space and beta-amyloid
deposition among cognitively normal
ADNI participants
Chronic neuroinflammation in older
adults with persistent Long COVID:
the preliminary findings of
[18F]FEPPA PET imaging
Locus coeruleus metabolism relates
to Alzheimer9s disease pathology in
amyloid-positive symptomatic
individuals
Quantitative Gradient Recalled Echo
(qGRE) MRI detects neuronal loss and
iron accumulation in nucleus basalis
of Meynert in preclinical and mild
Alzheimer's disease