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Background: Adolescents with depression exhibit negative biases in autobiographical memory with detrimental consequences for their self-concept and well-being. Investigating how adolescents relive positive autobiographical memories and activate the underlying neural networks could reveal mechanisms that drive such biases. This study investigated neural networks when reliving positive and neutral memories, and how neural activity is modulated by valence and vividness in adolescents with and without depression. Methods: 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 a multivariate, data-driven approach – event-related independent component analysis (eICA) – to characterize neural networks supporting autobiographical recollection. Results: Adolescents with depression reported their po

Adolescent depressionAutobiographical memoryIndependent component analysisEmory vividnessElf referential processing