Children’s state anxiety before MRI scanning and resting state functional connectivity in large scale brain networks
Abstract
INTRODUCTION: Most resting-state functional connectivity (rs-FC) research does not consider the participant’s subjective state during magnetic resonance imaging (MRI). Heightened anxiety before an MRI (“pre-scanning state anxiety”) may influence rs-FC and complicate interpretation of individual differences, particularly in underrepresented groups whose scanning experiences may differ from typical research samples. METHODS: We assessed associations between pre-scanning state anxiety and rs-FC within and between the default mode network (DMN) and salience network in a trait-anxious community sample of Latina girls (8–13 years) and a companion sample of treatment-seeking and healthy youth (8–18 years) of predominantly non-Latinx background. A constrained network-based statistical approach calculated the average of un-thresholded correlation coefficients from edge-level partial Spearman correlations to produce network-level measures (7 cortical + 1 subcortical). This approach is “constrained” in that analyses operate at the spatial scale of functional networks, rather than individual edges, to increase statistical power. Statistics were compared against a permutation-based null distribution to assess significance (Bonferroni corrected p < 0.00139). RESULTS: Reduced rs-FC within the DMN (r = − 0.32, p < 0.00139) was associated with pre-scanning state anxiety in the community sample, but did not replicate in our companion sample. DISCUSSION: Pre-scanning state anxiety is associated with rs-FC within the DMN, but only among a trait-anxious community sample. Individual differences in MRI scanning experiences may be associated with rs-FC, but sample characteristics and replication should be considered.
Fields of Study & Subjects
Functional Brain Connectivity Studies
Mental Health Research Topics
Advanced MRI Techniques and Applications
Publication details
- Journal / source
- Scientific Reports
- Volume
- 16
- Issue
- 1
- Pages
- 4383–4383
- Publication date
- 16 January 2026
- Language
- EN