EEG-based brain connectivity and sentiment analysis from smartphone social communication: insights into remitted major depressive disorder among adolescents.

ABSTRACT: Although prior research has identified abnormal brain connectivity in remitted depressed adolescents, there is limited work associating these alterations with real-time affective dynamics, which may shed insight about specific biological markers that contribute to depression recurrence. Effective brain connectivity was estimated using renormalized partial directed coherence (rPDC) from resting-state EEG data collected in adolescents (N = 144; ages 13-18), including youth with remitted depression (n = 85) and healthy controls (n = 59). Additionally, over the course of 180 days, ~2.3 million messages from adolescents' smartphones were passively obtained, and sentiment (i.e., words connoting positive and negative emotion) was extracted using the Python tweetNLP package. At the baseline and 6-

SUBMITTER: Kim N 

PROVIDER: S-EPMC12504114 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature