In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants rest matters.
Gonzalez-Castillo, J.; Spurney, M. A.; Lam, K. C.; Gephart, I. S.; Pereira, F.; Handwerker, D. A.; Kam, J. W.; Bandettini, P. A.
Show abstract
Resting-state fMRI (rs-fMRI) scans--namely those lacking experimentally-controlled stimuli or cognitive demands--are often used to identify aberrant patterns of functional connectivity (FC) in clinical populations. To minimize interpretational uncertainty, researchers control for across-cohort disparities in age, gender, co-morbidities, and head motion. Yet, studies rarely, if ever, consider the possibility that systematic differences in inner experience (i.e., what subjects think and feel during the scan) may directly affect FC measures. Here we demonstrate that is the case using a rs-fMRI dataset comprising 471 scans annotated with experiential data. Wide-spread significant differences in FC are observed between scans that systematically differ in terms of reported in-scanner experience. Additionally, we show that FC can successfully predict specific aspects of in-scanner experience in a manner similar to how it predicts demographics, cognitive abilities, clinical outcomes and labels. Together, these results highlight the key role of in-scanner experience in shaping rs-fMRI estimates of FC.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors 97%
- Restoring statistical validity in group analyses of motion-corrupted MRI data 96%
- The arrow-of-time in neuroimaging time series identifies causal triggers of brain function 96%
Similar papers in this journal
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in human brain and behavior 96%
- No effect of additional education on long-term brain structure: a preregistered natural experiment in thousands of individuals. 96%
- Reconfigurations of cortical manifold structure during reward-based motor learning 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.