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The resulting partition has been interpreted as evidence of neural control strategies that stabilize task goals while permitting flexibility in execution. UCM is conventionally reported as time-averaged variance indices, and this time-averaging step discards the temporal structure of movement variability. Using a three-joint planar reaching model, we generate variability with three temporal structures (periodic oscillation, white noise, and pink noise) matched in spatial covariance, and find that the time-averaged geometric indices\u2014the ratio\n                    <jats:inline-formula>\n                      <jats:tex-math>$$V_{\\text {UCM}}\/V_{\\text {ORT}}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    and the\n                    <jats:inline-formula>\n                      <jats:tex-math>$$Z$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    -transformed synergy index\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\Delta V_z$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    \u2014remain statistically indistinguishable for white and pink noise, whereas temporal indices computed on the same trials (lag-1 autocorrelation, detrended-fluctuation scaling, spectral slope) show large effect sizes. This double dissociation confirms that time-averaged summaries remain blind to temporal correlations. The projection operation retains temporal information in the single-trial and time-resolved components, yet the meaning of that information for motor control remains open: the mapping from a temporal property of a projected series to a specific control process is itself unestablished, so applying time-series methods to the projections opens a fresh interpretive problem. UCM therefore identifies whether coordination is structured by task constraints while leaving the generating processes undetermined. Establishing this boundary is the contribution of the present work: geometric partitioning yields a spatial account of coordination whose temporal origins lie beyond the method and call for a dedicated dynamical theory.\n                  <\/jats:p>","DOI":"10.1007\/s00221-026-07404-9","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T08:32:46Z","timestamp":1790757166000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Same geometry, different dynamics: what uncontrolled manifold (UCM) analysis misses about motor control"],"prefix":"10.1007","volume":"244","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6369-0414","authenticated-orcid":false,"given":"Madhur","family":"Mangalam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9737-9939","authenticated-orcid":false,"given":"Nick","family":"Stergiou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"key":"7404_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/1743-0003-4-12","volume":"4","author":"H Amoud","year":"2007","unstructured":"Amoud H, Abadi M, Hewson DJ, Michel-Pellegrino V, Doussot M, Duch\u00eane J (2007) Fractal time series analysis of postural stability in elderly and control subjects. 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