Ongoing thoughts at rest reflect functional brain organization and behavior

Jin Ke, Taylor A. Chamberlain, Hayoung Song, Anna Corriveau, Ziwei Zhang, Taysha Martinez, Laura Sams, Marvin M. Chun, Yuan Chang Leong, Monica D. Rosenberg

Abstract: h3>Abstract</h3> <p>Resting-state functional connectivity (rsFC)—brain connectivity observed when people rest with no external tasks—predicts individual differences in behavior. Yet, rest is not idle; it involves streams of thoughts. Are these ongoing thoughts reflected in rsFC? To test this question, we developed a novel annotated rest paradigm where participants rated and verbally described their thoughts after each rest period during functional MRI (<i>N</i> = 60). Our findings revealed rich and idiosyncratic thoughts across individuals. Similarity in thoughts was associated with more similar rsFC patterns within and across individuals. In addition, both thought ratings and topics could be decoded from rsFC. Furthermore, neuromarkers of these thoughts generalized to unseen individuals in the Human Connectome Project dataset (<i>N</i> = 908), where decoded thought patterns during rest predicted positive vs. negative trait-level individual differences. Together, our findings reveal that ongoing thoughts at rest are reflected in brain dynamics and these network patterns predict everyday cognition and experiences. Understanding subjective in-scanner experiences is thus crucial in characterizing the relationship between individual differences in functional brain organization and behavior.</p>

External IDs:doi:10.1101/2025.08.18.670664