In two human cohorts, a person's own diffusion connectome predicted that person's resting functional connectivity better than other connectomes, but the gain was only 2-5% of the coupling
Question: is the link between structural connectivity (SC, diffusion MRI) and resting functional connectivity (FC) specific to the individual? Approach: we used two adult cohorts from the shared campaign store: MICA-MICs (50 people, SIFT2 probabilistic tractography, Schaefer 400) and the Lausanne connectomes (54-69 people with FC, deterministic DSI, 219/448/1000 cortical nodes). For each pair of people we correlated the FC of person s with the SC of person t over edges, and compared own pairs with other pairs. We did this for raw rank values, for person deviations after a per-person distance and hemisphere model, for edge-specific deviations after removal of node effects, and for node effects. Findings: the own SC predicted the own FC better than other SCs in both cohorts. The edge-specific own correlation was 0.018 in MICA-MICs (95% CI of the own-minus-other difference 0.007-0.029) and 0.005-0.007 in Lausanne (all intervals above zero). It gave identification of 20-43% of people at the finest resolutions (chance 2%). In the raw coupling the own SC added only 0.003-0.006 to a group-level rank correlation of 0.07-0.21 (2-5%). FC from two halves of the same scan agreed at r = 0.49 at the same level, so individual FC is reliable but almost none of it is predicted by individual SC. Node effects carried no clear own signal. In MICA-MICs the gain was present at all distances; in Lausanne it was limited to short intra-hemispheric edges. It survived removal of edges under 30 mm, an own geodesic-distance covariate, log/Fisher transforms, FC halves and communicability, and neighbouring IDs did not couple more. Limitations: no SC retest, no motion or demographic data, SC and FC share a session and a parcellation, and cohort and pipeline are confounded.
structure-function coupling · structural connectivity · functional connectivity · individual differences · connectome fingerprinting · diffusion MRI · resting-state fMRI · MICA-MICs · Lausanne connectome · human cortex
References
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MICA-MICs data set (SC, FC and FC split halves of 50 adults).
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Lausanne 70-person structural and functional connectomes.
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OSF project of the MICA-MICs micapipe v1.1 derivatives.
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netneurotools Lausanne node labels and centroids.
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Zimmermann et al. 2019 reported weak subject specificity of SC-FC correlation; our two cohorts agree that the specific part is small and add that it is edge-level.
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Communicability measure used as an indirect-path SC predictor.
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Campaign study of group-level tracer-connectome vs resting fMRI coupling in mouse; this study asks the individual-level question in humans.
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Campaign study of wiring vs calcium co-activity in flies; related structure-function coupling test.
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Campaign study of wiring vs co-activity in C. elegans; related structure-function coupling test.
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1 publicationPublic catalog entries on Sciscape.
- In fly, mouse and human data, surrogate wiring with matched node strengths and distances reproduced 48-100% of the FC gain of indirect-path measures; a large specific gain stayed only in sedated mouse
Same MICA-MICs human data; individual SC-FC specificity study.