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Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease
Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease
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Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Zhang, Xiuming ; Mormino, Elizabeth C. ; Sun, Nanbo ; Sperling, Reisa A. ; Sabuncu, Mert R. ; Yeo, B. T. Thomas

Proceedings of the National Academy of Sciences - PNAS, 2016-10, Vol.113 (42), p.E6535-E6544 [Periódico revisado por pares]

United States: National Academy of Sciences

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2
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment
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Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Yin, Chenzhong ; Imms, Phoebe ; Cheng, Mingxi ; Amgalan, Anar ; Chowdhury, Nahian F ; Massett, Roy J ; Chaudhari, Nikhil N ; Chen, Xinghe ; Thompson, Paul M ; Bogdan, Paul ; Irimia, Andrei

Proceedings of the National Academy of Sciences - PNAS, 2023-01, Vol.120 (2), p.e2214634120 [Periódico revisado por pares]

United States: National Academy of Sciences

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3
Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis
Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis
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Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Zhou, Xiaopu ; Chen, Yu ; Mok, Kin Y. ; Zhao, Qianhua ; Chen, Keliang ; Chen, Yuewen ; Hardy, John ; Li, Yun ; Fu, Amy K. Y. ; Guo, Qihao ; Ip, Nancy Y.

Proceedings of the National Academy of Sciences - PNAS, 2018-02, Vol.115 (8), p.1697-1706 [Periódico revisado por pares]

United States: National Academy of Sciences

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4
Morphometricity as a measure of the neuroanatomical signature of a trait
Morphometricity as a measure of the neuroanatomical signature of a trait
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Morphometricity as a measure of the neuroanatomical signature of a trait

Sabuncu, Mert R. ; Ge, Tian ; Holmes, Avram J. ; Smoller, Jordan W. ; Buckner, Randy L. ; Fischl, Bruce

Proceedings of the National Academy of Sciences - PNAS, 2016-09, Vol.113 (39), p.E5749-E5756 [Periódico revisado por pares]

United States: National Academy of Sciences

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5
Statistical tests and identifiability conditions for pooling and analyzing multisite datasets
Statistical tests and identifiability conditions for pooling and analyzing multisite datasets
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Statistical tests and identifiability conditions for pooling and analyzing multisite datasets

Zhou, Hao Henry ; Singh, Vikas ; Johnson, Sterling C. ; Wahba, Grace

Proceedings of the National Academy of Sciences - PNAS, 2018-02, Vol.115 (7), p.1481-1486 [Periódico revisado por pares]

United States: National Academy of Sciences

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