Joint-label fusion brain atlases for dementia research in Down syndrome.
Alzheimer's disease
Down syndrome
amyloid
dementia
group atlas
joint label fusion
neurotypical
Journal
Alzheimer's & dementia (Amsterdam, Netherlands)
ISSN: 2352-8729
Titre abrégé: Alzheimers Dement (Amst)
Pays: United States
ID NLM: 101654604
Informations de publication
Date de publication:
2022
2022
Historique:
received:
11
01
2022
revised:
28
03
2022
accepted:
25
04
2022
entrez:
31
5
2022
pubmed:
1
6
2022
medline:
1
6
2022
Statut:
epublish
Résumé
Research suggests a link between Alzheimer's Disease in Down Syndrome (DS) and the overproduction of amyloid plaques. Using Positron Emission Tomography (PET) we can assess the in-vivo regional amyloid load using several available ligands. To measure amyloid distributions in specific brain regions, a brain atlas is used. A popular method of creating a brain atlas is to segment a participant's structural Magnetic Resonance Imaging (MRI) scan. Acquiring an MRI is often challenging in intellectually-imparied populations because of contraindications or data exclusion due to significant motion artifacts or incomplete sequences related to general discomfort. When an MRI cannot be acquired, it is typically replaced with a standardized brain atlas derived from neurotypical populations (i.e. healthy individuals without DS) which may be inappropriate for use in DS. In this project, we create a series of disease and diagnosis-specific (cognitively stable (CS-DS), mild cognitive impairment (MCI-DS), and dementia (DEM-DS)) probabilistic group atlases of participants with DS and evaluate their accuracy of quantifying regional amyloid load compared to the individually-based MRI segmentations. Further, we compare the diagnostic-specific atlases with a probabilistic atlas constructed from similar-aged cognitively-stable neurotypical participants. We hypothesized that regional PET signals will best match the individually-based MRI segmentations by using DS group atlases that aligns with a participant's disorder and disease status (e.g. DS and MCI-DS). Our results vary by brain region but generally show that using a disorder-specific atlas in DS better matches the individually-based MRI segmentations than using an atlas constructed from cognitively-stable neurotypical participants. We found no additional benefit of using diagnose-specific atlases matching disease status. All atlases are made publicly available for the research community. Down syndrome (DS) joint-label-fusion atlases provide accurate positron emission tomography (PET) amyloid measurements.A disorder-specific DS atlas is better than a neurotypical atlas for PET quantification.It is not necessary to use a disease-state-specific atlas for quantification in aged DS.Dorsal striatum results vary, possibly due to this region and dementia progression.
Identifiants
pubmed: 35634535
doi: 10.1002/dad2.12324
pii: DAD212324
pmc: PMC9131930
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e12324Subventions
Organisme : NIA NIH HHS
ID : P30 AG066519
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG068054
Pays : United States
Investigateurs
Howard J Aizenstein
(HJ)
Beau M Ances
(BM)
Howard F Andrews
(HF)
Karen Bell
(K)
Rasmus M Birn
(RM)
Adam M Brickman
(AM)
Peter Bulova
(P)
Amrita Cheema
(A)
Kewei Chen
(K)
Bradley T Christian
(BT)
Isabel Clare
(I)
Lorraine Clark
(L)
Ann D Cohen
(AD)
John N Constantino
(JN)
Eric W Doran
(EW)
Anne Fagan
(A)
Eleanor Feingold
(E)
Tatiana M Foroud
(TM)
Benjamin L Handen
(BL)
Sigan L Hartley
(SL)
Elizabeth Head
(E)
Rachel Henson
(R)
Christy Hom
(C)
Lawrence Honig
(L)
Milos D Ikonomovic
(MD)
Sterling C Johnson
(SC)
Courtney Jordan
(C)
M Ilyas Kamboh
(MI)
David Keator
(D)
William E Klunk
(WE)
Julia K Kofler
(JK)
William Charles Kreisl
(WC)
Sharon J Krinsky-McHale
(SJ)
Florence Lai
(F)
Patrick Lao
(P)
Charles Laymon
(C)
Joseph Hyungwoo Lee
(JH)
Ira T Lott
(IT)
Victoria Lupson
(V)
Mark Mapstone
(M)
Chester A Mathis
(CA)
Davneet Singh Minhas
(DS)
Neelesh Nadkarni
(N)
Sid O'Bryant
(S)
Deborah Pang
(D)
Melissa Petersen
(M)
Julie C Price
(JC)
Margaret Pulsifer
(M)
Eric Reiman
(E)
Batool Rizvi
(B)
Herminia Diana Rosas
(HD)
Nicole Schupf
(N)
Wayne P Silverman
(WP)
Dana L Tudorascu
(DL)
Rameshwari Tumuluru
(R)
Benjamin Tycko
(B)
Badri Varadarajan
(B)
Desiree A White
(DA)
Michael A Yassa
(MA)
Shahid Zaman
(S)
Fan Zhang
(F)
Informations de copyright
© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.
Déclaration de conflit d'intérêts
The authors do not have any conflict of interest to declare.
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