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Endogenous autofluorescence was used and the vessel \u2018shadow\u2019 was quantified to evaluate the magnitude of the frequency-locked vasomotion. This method allows vasomotion to be easily quantified in non-transgenic wild-type mice using either the wide-field macro-zoom microscopy or the deep-brain fiber photometry methods. Vertical stripes horizontally oscillating at a low temporal frequency (0.25 Hz) were presented to the awake mouse, and oscillatory vasomotion locked to the temporal frequency of the visual stimulation was induced not only in the primary visual cortex but across a wide surface area of the cortex and the cerebellum. The visually induced vasomotion adapted to a wide range of stimulation parameters. Repeated trials of the visual stimulus presentations resulted in the plastic entrainment of vasomotion. Horizontally oscillating visual stimulus is known to induce horizontal optokinetic response (HOKR). The amplitude of the eye movement is known to increase with repeated training sessions, and the flocculus region of the cerebellum is known to be essential for this learning to occur. Here, we show a strong correlation between the average HOKR performance gain and the vasomotion entrainment magnitude in the cerebellar flocculus. Therefore, the plasticity of vasomotion and neuronal circuits appeared to occur in parallel. Efficient energy delivery by the entrained vasomotion may contribute to meeting the energy demand for increased coordinated neuronal activity and the subsequent neuronal circuit reorganization.<\/jats:p>","DOI":"10.7554\/elife.93721","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T06:26:47Z","timestamp":1707287207000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.93721","source":"Crossref","is-referenced-by-count":1,"title":["Plastic vasomotion entrainment"],"prefix":"10.7554","volume":"13","author":[{"given":"Daichi","family":"Sasaki","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01dq60k83","id-type":"ROR","asserted-by":"publisher"}],"name":"Super-network Brain Physiology, Graduate School of Life Sciences, Tohoku University","place":["Sendai, 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