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Latent atrophy fact...
Latent atrophy factors related to phenotypical variants of posterior cortical atrophy
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- Groot, Colin (författare)
- Vrije Universiteit Amsterdam
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- Yeo, B. T.Thomas (författare)
- National University of Singapore
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- Vogel, Jacob W. (författare)
- Montreal Neurological Institute & Hospital
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- Zhang, Xiuming (författare)
- National University of Singapore
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- Sun, Nanbo (författare)
- National University of Singapore
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- Mormino, Elizabeth C. (författare)
- Stanford University
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- Pijnenburg, Yolande A.L. (författare)
- Vrije Universiteit Amsterdam
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- Miller, Bruce L. (författare)
- University of California, San Francisco
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- Rosen, Howard J. (författare)
- University of California, San Francisco
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- La Joie, Renaud (författare)
- University of California, San Francisco
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- Barkhof, Frederik (författare)
- University College London
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- Scheltens, Philip (författare)
- Vrije Universiteit Amsterdam
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- van der Flier, Wiesje M. (författare)
- Vrije Universiteit Amsterdam
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- Rabinovici, Gil D. (författare)
- University of California, San Francisco
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- Ossenkoppele, Rik (författare)
- Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Neurology. - 1526-632X. ; 95:12, s. 1672-1685
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- OBJECTIVE: To determine whether atrophy relates to phenotypical variants of posterior cortical atrophy (PCA) recently proposed in clinical criteria (i.e., dorsal, ventral, dominant-parietal, and caudal) we assessed associations between latent atrophy factors and cognition. METHODS: We employed a data-driven Bayesian modeling framework based on latent Dirichlet allocation to identify latent atrophy factors in a multicenter cohort of 119 individuals with PCA (age 64 ± 7 years, 38% male, Mini-Mental State Examination 21 ± 5, 71% β-amyloid positive, 29% β-amyloid status unknown). The model uses standardized gray matter density images as input (adjusted for age, sex, intracranial volume, MRI scanner field strength, and whole-brain gray matter volume) and provides voxelwise probabilistic maps for a predetermined number of atrophy factors, allowing every individual to express each factor to a degree without a priori classification. Individual factor expressions were correlated to 4 PCA-specific cognitive domains (object perception, space perception, nonvisual/parietal functions, and primary visual processing) using general linear models. RESULTS: The model revealed 4 distinct yet partially overlapping atrophy factors: right-dorsal, right-ventral, left-ventral, and limbic. We found that object perception and primary visual processing were associated with atrophy that predominantly reflects the right-ventral factor. Furthermore, space perception was associated with atrophy that predominantly represents the right-dorsal and right-ventral factors. However, individual participant profiles revealed that the large majority expressed multiple atrophy factors and had mixed clinical profiles with impairments across multiple domains, rather than displaying a discrete clinical-radiologic phenotype. CONCLUSION: Our results indicate that specific brain behavior networks are vulnerable in PCA, but most individuals display a constellation of affected brain regions and symptoms, indicating that classification into 4 mutually exclusive variants is unlikely to be clinically useful.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Groot, Colin
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Yeo, B. T.Thomas
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Vogel, Jacob W.
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Zhang, Xiuming
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Sun, Nanbo
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Mormino, Elizabe ...
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visa fler...
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Pijnenburg, Yola ...
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Miller, Bruce L.
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Rosen, Howard J.
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La Joie, Renaud
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Barkhof, Frederi ...
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Scheltens, Phili ...
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van der Flier, W ...
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Rabinovici, Gil ...
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Ossenkoppele, Ri ...
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Medicinska och f ...
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och Neurovetenskaper
- Artiklar i publikationen
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Neurology
- Av lärosätet
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Lunds universitet