Kane @kanepav.bsky.social · 21/07/2025Correlation based methods show the highest behavioural prediction effect sizes across different behavioural domains, but also show the highest association with motion 100
Kane @kanepav.bsky.social · 21/07/2025We compare; correlation, partial-correlation, mutual information, coherence, partial information decomposition, and regression dynamic causal modelling based estimates of coupling. 100
Kane @kanepav.bsky.social · 21/07/2025New pre-print from @alexfornito.bsky.social, @jchrispang.bsky.social, and myself looking at the sensitivity of different methods used to estimate FC/EC in relation to residual motion artifacts and behavioural prediction www.biorxiv.org/content/10.1...biorxiv.orgThe Motion Sensitivity and Predictive Utility of Different Estimates of Inter-regional Functional Coupling in Resting-state Functional MRI.Numerous methods exist for quantifying statistical dependencies, termed functional coupling (FC), between regional brain activity recorded with resting-state functional magnetic resonance imaging (rs-... 194
Kane @kanepav.bsky.social · 14/07/2025At the hierachical level, both a unidimensional and bi-factor structure fail to meet criteria for construct validity, while at the item level, subscales poor reliability along the latent trait continuum. We caution against uncritical use of the CBCL for dimensional measurement in this sample. 040
Kane @kanepav.bsky.social · 14/07/2025New pre-print from @alexfornito.bsky.social , Toby Constable, Jeggan Tiego, and myself, looking at the psychometric properties of the CBCL in the baseline ABCD cohort. We show that the commonly used CBCL structures fail to meet standards for validity and reliability osf.io/preprints/ps...osf.ioOSF 1117
Kane @kanepav.bsky.social · 05/12/2024Definitely would be, it would be interesting to see the differences between DiCER, temporal ICA and GSR in the brain-behaviour prediction space... Maybe in the future 000
Kane @kanepav.bsky.social · 03/12/2024New pre-print from @alexfornito.bsky.social, James Pang, and myself, looking at the effects of rs-fMRI pre-processing pipelines on FC quality and behavioural predictions. www.biorxiv.org/content/10.1...biorxiv.orgThe efficacy of resting-state fMRI denoising pipelines for motion correction and behavioural prediction.Resting state functional magnetic resonance imaging (rsfMRI) is a pivotal tool for mapping the functional organization of the brain and its relation to individual differences in behaviour. One challen... 3164