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Uncal apex position varies with normal aging.
Poppenk J; Alzheimer's Disease Neuroimaging Initiative, Human Connectome Project, and Cambridge Centre for Ageing and Neuroscience. Poppenk J, et al. Hippocampus. 2020 Jul;30(7):724-732. doi: 10.1002/hipo.23196. Epub 2020 Feb 14. Hippocampus. 2020. PMID: 32057172
Individual cognitive traits can be predicted from task-based dynamic functional connectivity with a deep convolutional-recurrent model.
Almeida de Souza E, Vieira BH, Salmon CEG. Almeida de Souza E, et al. Cereb Cortex. 2024 Oct 3;34(10):bhae412. doi: 10.1093/cercor/bhae412. Cereb Cortex. 2024. PMID: 39445422
Using neuroimaging and behavioral data from 874 subjects provided by the Human Connectome Project, we predicted various cognitive scores using dynamic functional connectivity derived from language and working memory functional magnetic resonance imaging task states, …
Using neuroimaging and behavioral data from 874 subjects provided by the Human Connectome Project, we predicted various cognit …
"Pscore": A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI Metrics.
Hafiz R, Irfanoglu MO, Nayak A, Pierpaoli C. Hafiz R, et al. J Magn Reson Imaging. 2024 Nov;60(5):1853-1866. doi: 10.1002/jmri.29248. Epub 2024 Jan 30. J Magn Reson Imaging. 2024. PMID: 38291798
POPULATION: Nine hundred and sixty-one healthy young adults (age: 22-35 years, females: 53%) from the Human Connectome Project. FIELD STRENGTH/SEQUENCE: 3-T, spin-echo diffusion echo-planar imaging, T1-weighted: MPRAGE. ...
POPULATION: Nine hundred and sixty-one healthy young adults (age: 22-35 years, females: 53%) from the Human Connectome Project