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001050533 1001_ $$0P:(DE-Juel1)190306$$aSasse, Leonard$$b0
001050533 245__ $$aIndividual identifiability following Procrustes alignment of functional gradients: effect of subspace dimensionality
001050533 260__ $$aLondon$$bSpringer Nature$$c2026
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001050533 500__ $$aGrants and funding SPP2041/Deutsche Forschungsgemeinschaft (German Research Foundation)
001050533 520__ $$aFunctional connectivity (FC) gradients derived from fMRI provide valuable insights into individual differences in brain organisation, yet aligning these gradients across individuals poses challenges for meaningful group comparisons. Procrustes alignment is often employed to standardize gradients, but the choice of the number of gradients used in alignment introduces complexities that may affect the validity of individual-level analyses. In this study, we systematically investigate the impact of varying gradient counts in Procrustes alignment on the principal FC gradient, using data from four high-quality fMRI datasets, including the Human Connectome Project (HCP-YA), Amsterdam Open MRI Collection (AOMIC) PIOP1 and PIOP2, and Cambridge Centre for Ageing and Neuroscience (Cam-CAN). We find that increasing the number of gradients used in alignment enhances subject identification. To further probe these effects, we use machine learning to predict fluid intelligence and age, and a motion prediction analysis, revealing that higher alignment gradient counts may introduce information from lower gradients into the principal gradient with implications for the interpretation of individual-level analyses.
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001050533 7001_ $$0P:(DE-Juel1)187055$$aPaquola, Casey$$b1
001050533 7001_ $$0P:(DE-Juel1)177727$$aDukart, Juergen$$b2
001050533 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b3
001050533 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b4$$ufzj
001050533 7001_ $$0P:(DE-Juel1)172843$$aPatil, Kaustubh R.$$b5$$eCorresponding author
001050533 773__ $$0PERI:(DE-600)2919698-X$$a10.1038/s42003-025-09509-3$$p.$$tCommunications biology$$v.$$x2399-3642$$y2026
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