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Functional ultrasound imaging and neuronal activity: How accurate is the spatiotemporal match?

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cris.virtual.orcid0000-0002-6460-2364
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cris.virtualsource.orcid66d44d5c-a518-4878-95c3-9fc7debe062a
cris.virtualsource.orcid482fe60f-7337-4883-8788-d96f927f4fe3
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dc.contributor.authorLambert, Theo
dc.contributor.authorNiknejad Hamid Reza
dc.contributor.authorKil, Dries
dc.contributor.authorBrunner, Clément
dc.contributor.authorNuttin, Bart
dc.contributor.authorMontaldo, Gabriel
dc.contributor.authorUrban, Alan
dc.contributor.imecauthorLambert, Theo
dc.contributor.imecauthorNiknejad, Hamid Reza
dc.contributor.imecauthorKil, Dries
dc.contributor.imecauthorBrunner, Clement
dc.contributor.imecauthorMontaldo, Gabriel
dc.contributor.imecauthorUrban, Alan
dc.contributor.orcidimecUrban, Alan::0000-0002-6460-2364
dc.date.accessioned2025-07-14T03:56:25Z
dc.date.available2025-07-14T03:56:25Z
dc.date.issued2025
dc.description.abstractOver the last decade, functional ultrasound (fUS) has risen as a critical tool in functional neuroimaging, leveraging hemodynamic changes to infer neural activity indirectly. Recent studies have established a strong correlation between neural spike rates (SR) and functional ultrasound signals. However, understanding their spatial distribution and variability across different brain areas is required to thoroughly interpret fUS signals. In this regard, we conducted simultaneous fUS imaging and Neuropixels recordings during stimulus-evoked activity in awake mice within three regions of the visual pathway. Our findings indicate that the temporal dynamics of fUS and SR signals are linearly correlated, providing an approximate calibration between the two signals. Conversely, the spatial correlation between the two signals remains consistent across all regions with a spread of approximately 300 micrometers. Finally, we introduce a model that integrates the spatial and temporal components of the fUS signal, allowing for a more accurate interpretation of fUS images.
dc.description.wosFundingTextThis work was supported by grants from Europe: ERANET-NEURON (G0G3721N-UNSCRAMBLY) and MSCA training network (SOPRANI-GAP-101119916), from Belgium: FWO senior research grants (G079623N-TRPM3 and G0C9923N-USNI4TBI) and FWO senior postdoctoral fellowship (12D7523N-BRAINPAIN for C.B.), and from USA: NIH (R01NS129836-01A1). This research also received funding from IMEC, the Flemish regional government (AI Research Program) and Internal Fund KU Leuven C14/18/099. We thank the NERF animal caretakers, including I. Eyckmans, F. Ooms, and S. Luijten, for their help managing the animals.
dc.identifier.doi10.1162/IMAG.a.34
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45900
dc.publisherMIT PRESS
dc.source.beginpageN/A
dc.source.journalIMAGING NEUROSCIENCE
dc.source.numberofpages13
dc.source.volume3
dc.title

Functional ultrasound imaging and neuronal activity: How accurate is the spatiotemporal match?

dc.typeJournal article
dspace.entity.typePublication
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