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1
Rates of amyloid imaging positivity in patients with primary progressive aphasia
In: Santos-Santos, MA; Rabinovici, GD; Iaccarino, L; Ayakta, N; Tammewar, G; Lobach, I; et al.(2018). Rates of amyloid imaging positivity in patients with primary progressive aphasia. JAMA Neurology, 75(3), 342 - 352. doi:10.1001/jamaneurol.2017.4309. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/1hm128x5 (2018)
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2
Atrophy patterns in early clinical stages across distinct phenotypes of Alzheimer's disease
In: Ossenkoppele, R; Cohn-Sheehy, BI; La Joie, R; Vogel, JW; Möller, C; Lehmann, M; et al.(2015). Atrophy patterns in early clinical stages across distinct phenotypes of Alzheimer's disease. Human Brain Mapping, 36(11), 4421 - 4437. doi:10.1002/hbm.22927. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/9751k10x (2015)
Abstract: © 2015 Wiley Periodicals, Inc. Alzheimer's disease (AD) can present with distinct clinical variants. Identifying the earliest neurodegenerative changes associated with each variant has implications for early diagnosis, and for understanding the mechanisms that underlie regional vulnerability and disease progression in AD. We performed voxel-based morphometry to detect atrophy patterns in early clinical stages of four AD phenotypes: Posterior cortical atrophy (PCA, "visual variant," n = 93), logopenic variant primary progressive aphasia (lvPPA, "language variant," n = 74), and memory-predominant AD categorized as early age-of-onset (EOAD, <65 years, n = 114) and late age-of-onset (LOAD, >65 years, n = 114). Patients with each syndrome were stratified based on: (1) degree of functional impairment, as measured by the clinical dementia rating (CDR) scale, and (2) overall extent of brain atrophy, as measured by a neuroimaging approach that sums the number of brain voxels showing significantly lower gray matter volume than cognitively normal controls (n = 80). Even at the earliest clinical stage (CDR=0.5 or bottom quartile of overall atrophy), patients with each syndrome showed both common and variant-specific atrophy. Common atrophy across variants was found in temporoparietal regions that comprise the posterior default mode network (DMN). Early syndrome-specific atrophy mirrored functional brain networks underlying functions that are uniquely affected in each variant: Language network in lvPPA, posterior cingulate cortex-hippocampal circuit in amnestic EOAD and LOAD, and visual networks in PCA. At more advanced stages, atrophy patterns largely converged across AD variants. These findings support a model in which neurodegeneration selectively targets both the DMN and syndrome-specific vulnerable networks at the earliest clinical stages of AD.
URL: http://www.escholarship.org/uc/item/9751k10x
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3
Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants
In: Neurobiology of Aging, vol 36, iss 10 (2015)
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4
Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants
In: Lehmann, M; Madison, C; Ghosh, PM; Miller, ZA; Greicius, MD; Kramer, JH; et al.(2015). Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants. Neurobiology of Aging, 36(10), 2678 - 2686. doi:10.1016/j.neurobiolaging.2015.06.029. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/28q4h46t (2015)
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5
Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants
In: Neurobiology of Aging, vol 36, iss 10 (2015)
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6
Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants.
In: Neurobiol Aging , 36 (10) pp. 2678-2686. (2015) (2015)
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7
Nonfluent/agrammatic PPA with in-vivo cortical amyloidosis and Pick's disease pathology
In: Caso, F; Gesierich, B; Henry, M; Sidhu, M; Lamarre, A; Babiak, M; et al.(2013). Nonfluent/agrammatic PPA with in-vivo cortical amyloidosis and Pick's disease pathology. Behavioural Neurology, 26(1-2), 95 - 106. doi:10.3233/BEN-2012-120255. UCSF: Retrieved from: http://www.escholarship.org/uc/item/8wt9b744 (2013)
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8
Intrinsic connectivity networks in healthy subjects explain clinical variability in Alzheimer's disease.
In: Proc Natl Acad Sci U S A , 110 (28) 11606 - 11611. (2013) (2013)
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9
Diverging patterns of amyloid deposition and hypometabolism in clinical variants of probable Alzheimer's disease.
In: Brain , 136 (Pt 3) pp. 844-858. (2013) (2013)
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