biostudies-literatureUnknown46(12)Kadushin MTel Aviv University Center for AI and Data Science (TAD)Minducate Science of Learning Research and Innovation CenterOver the past decade, functional connectivity patterns, derived from functional magnetic resonance imaging (fMRI), have been widely used to predict various cognitive traits. However, most studies have focused on measures assessed under controlled laboratory conditions, which may not fully reflect the complexity of the traits in real-world environments. In this study, we investigated connectome-based predictions of cognitive performance in ecologically valid, real-world settings. Participants (n = 194) performed the Psychometric Entrance Test, a standardized exam used for admission to higher education institutions in Israel and a strong predictor of undergraduate academic success. Using functional connectivity patterns, we significantly predicted overall test performance, as well as its thrHuman brain mappinge70319https://www.ebi.ac.uk/biostudies/studies/S-EPMC12358942biostudies-literaturePredicting Real-Life Cognitive Scores From Functional Connectivity.PMC12358942Tavor ITik NMadar AKadushin MBernstein-Eliav MfalsePredicting Real-Life Cognitive Scores From Functional Connectivity.Over the past decade, functional connectivity patterns, derived from functional magnetic resonance imaging (fMRI), have been widely used to predict various cognitive traits. However, most studies have focused on measures assessed under controlled laboratory conditions, which may not fully reflect the complexity of the traits in real-world environments. In this study, we investigated connectome-based predictions of cognitive performance in ecologically valid, real-world settings. Participants (n = 194) performed the Psychometric Entrance Test, a standardized exam used for admission to higher education institutions in Israel and a strong predictor of undergraduate academic success. Using functional connectivity patterns, we significantly predicted overall test performance, as well as its thr2025-01-01T00:00:00Z2025 Aug2026-05-04T12:00:21.96Z2026-04-07T20:24:59.932ZS-EPMC123589424082096110.1002/hbm.70319