Open AccessJoint‐label fusion brain atlases for dementia research in Down syndrome
Author(s) -
Queder Nazek,
Phelan Michael J.,
Taylor Lisa,
Tustison Nicholas,
Doran Eric,
Hom Christy,
Nguyen Dana,
Lai Florence,
Pulsifer Margaret,
Price Julie,
Kreisl William C.,
Rosas Herminia D.,
KrinskyMcHale Sharon,
Brickman Adam M.,
Yassa Michael A.,
Schupf Nicole,
Silverman Wayne,
Lott Ira T.,
Head Elizabeth,
Mapstone Mark,
Keator David B.
Publication year - 2022
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1002/dad2.12324
Subject(s) - neurotypical , magnetic resonance imaging , dementia , neuroimaging , medicine , positron emission tomography , alzheimer's disease , cognitive impairment , cognitive decline , neuroscience , disease , pathology , psychology , nuclear medicine , radiology , psychiatry , autism spectrum disorder , autism
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. HighlightDown 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.