Aberrant neural network activation during reliving of autobiographical memories in adolescent depression
Description: These data represent 15 neural networks when reliving positive and neutral autobiographical memories in adolescent with and without depression, obtained via event-related independent component analysis (eICA). Adolescents (N = 69; n = 17 with depression) retrieved positive and neutral autobiographical memories. On a separate day, they relived these memories during fMRI scanning, and reported on pleasantness and vividness after reliving each memory. We used eICA, a multivariate, data-driven approach, to characterize neural networks supporting autobiographical recollection.
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