Charting brain growth and aging at high spatial precision

Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from...

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Detalles Bibliográficos
Autores principales: Rutherford, Saige, Fraza, Charlotte, Dinga, Richard, Kia, Seyed Mostafa, Wolfers, Thomas, Zabihi, Mariam, Berthet, Pierre, Worker, Amanda, Verdi, Serena, Andrews, Derek, Han, Laura KM, Bayer, Johanna MM, Dazzan, Paola, McGuire, Phillip, Mocking, Roel T, Schene, Aart, Sripada, Chandra, Tso, Ivy F, Duval, Elizabeth R, Chang, Soo-Eun, Penninx, Brenda WJH, Heitzeg, Mary M, Burt, S Alexandra, Hyde, Luke W, Amaral, David, Wu Nordahl, Christine, Andreasssen, Ole A, Westlye, Lars T, Zahn, Roland, Ruhe, Henricus G, Beckmann, Christian, Marquand, Andre F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828052/
https://www.ncbi.nlm.nih.gov/pubmed/35101172
http://dx.doi.org/10.7554/eLife.72904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828052/
https://www.ncbi.nlm.nih.gov/pubmed/35101172
http://dx.doi.org/10.7554/eLife.72904

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