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Billet publié sur Bluesky le 07/06/2024 11:35

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Publication avec DOI Récupéré Publication crossref

J Gonzalez-Castillo, MA Spurney, KC Lam, IS Gephart, F Pereira, DA Handwerker, JWY Kam, PA Bandettini (2024). In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants “rest” matters. openRxiv.

Date de publication
06/06/2024
Identifiant
10.1101/2024.06.05.596482
Auteurs
J Gonzalez-Castillo, MA Spurney, KC Lam, IS Gephart, F Pereira, DA Handwerker, JWY Kam, PA Bandettini
Type de référence
preprint
Éditeur
openRxiv
Source de métadonnées
crossref

Résumé

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.

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