Joint‐label fusion brain atlases for dementia research in Down syndrome. Issue 1 (25th May 2022)

• Record Type: Journal Article
• Authors: 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.; Krinsky‐McHale, Sharon; Brickman, Adam M.; Yassa, Michael A.; Schupf, Nicole; Silverman, Wayne; Lott, Ira T.; Head, Elizabeth; Mapstone, Mark; Keator, David B.
• Other Names: Aizenstein Howard J. investigator.; Ances Beau M. investigator.; Andrews Howard F. investigator.; Bell Karen investigator.; Birn Rasmus M. investigator.; Brickman Adam M. investigator.; Bulova Peter investigator.; Cheema Amrita investigator.; Chen Kewei investigator.; Christian Bradley T. investigator.; Clare Isabel investigator.; Clark Lorraine investigator.; Cohen Ann D. investigator.; Constantino John N. investigator.; Doran Eric W. investigator.; Fagan Anne investigator.; Feingold Eleanor investigator.; Foroud Tatiana M. investigator.; Handen Benjamin L. investigator.; Hartley Sigan L. investigator.; Head Elizabeth investigator.; Henson Rachel investigator.; Hom Christy investigator.; Honig Lawrence investigator.; Ikonomovic Milos D. investigator.; Johnson Sterling C. investigator.; Jordan Courtney investigator.; Kamboh M. Ilyas investigator.; Keator David investigator.; Klunk William E. investigator.; Kofler Julia K. investigator.; Kreisl William Charles investigator.; Krinsky‐McHale Sharon J. investigator.; Lai Florence investigator.; Lao Patrick investigator.; Laymon Charles investigator.; Lee Joseph Hyungwoo investigator.; Lott Ira T. investigator.; Lupson Victoria investigator.; Mapstone Mark investigator.; Mathis Chester A. investigator.; Minhas Davneet Singh investigator.; Nadkarni Neelesh investigator.; O'Bryant Sid investigator.; Pang Deborah investigator.; Petersen Melissa investigator.; Price Julie C. investigator.; Pulsifer Margaret investigator.; Reiman Eric investigator.; Rizvi Batool investigator.; Rosas Herminia Diana investigator.; Schupf Nicole investigator.; Silverman Wayne P. investigator.; Tudorascu Dana L. investigator.; Tumuluru Rameshwari investigator.; Tycko Benjamin investigator.; Varadarajan Badri investigator.; White Desiree A. investigator.; Yassa Michael A. investigator.; Zaman Shahid investigator.; Zhang Fan investigator.;
• Is Part Of: Alzheimer's & dementia. Volume 14:Issue 1(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-05-25
• Subjects: Alzheimer's disease -- amyloid -- dementia -- Down syndrome -- group atlas -- joint label fusion -- neurotypical; Alzheimer's disease -- Periodicals; Alzheimer's disease -- Diagnosis -- Periodicals; Dementia -- Periodicals; Dementia -- Diagnosis -- Periodicals; 616.831
• DOI: 10.1002/dad2.12324
• Languages: English
• ISSNs: 2352-8729

Abstract

Abstract: 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. Highlight: 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.