Self-reports map the landscape of task states derived from brain imaging.

ABSTRACT: Psychological states influence our happiness and productivity; however, estimates of their impact have historically been assumed to be limited by the accuracy with which introspection can quantify them. Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging (fMRI). Such evidence suggests it may be possible to quantify the mapping between self-reports of experience and objective representations of those states (e.g., those inferred from measures of brain activity). Here, we used machine learning to show that self-reported descriptions of experiences across tasks can reliably map

SUBMITTER: Mckeown B 

PROVIDER: S-EPMC11754446 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature