TY - JOUR
T1 - A vascular code for speed in the spatial navigation system
AU - Cybis Pereira, Felipe
AU - Castedo, Sebastian H.
AU - Le Meur-Diebolt, Samuel
AU - Ialy-Radio, Nathalie
AU - Bhattacharya, Soumee
AU - Ferrier, Jeremy
AU - Osmanski, Bruno Félix
AU - Cocco, Simona
AU - Monasson, Remi
AU - Pezet, Sophie
AU - Tanter, Mickaël
N1 - Publisher Copyright:
© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
PY - 2026/1/27
Y1 - 2026/1/27
N2 - The vascular dynamics supporting hippocampal spatial navigation during naturalistic behavior remain poorly understood. Here, we used functional ultrasound (fUS) imaging to examine cerebral blood volume (CBV) changes in freely exploring rats. High-resolution imaging during open-field exploration revealed strong correlations between CBV and animal speed across hippocampal-parahippocampal regions. Lagged general linear modeling uncovered hierarchical information flow from the thalamus to the parahippocampal cortex and hippocampal subfields (dentate gyrus, CA1–CA3). This speed-CBV relationship showed sharp spatial specificity to navigation structures. Multivariate decoding demonstrated that CBV signals carry highly accurate encodings of locomotion speed, remaining robust across animals. We also identified slow CBV oscillations aligned with exploratory behavior fluctuations. These findings reveal a hemodynamic signature of speed representation arising from energy demands in continuous attractor networks, where population activity scales quadratically with speed, and establish fUS imaging as a powerful tool for investigating the neurovascular basis of navigation.
AB - The vascular dynamics supporting hippocampal spatial navigation during naturalistic behavior remain poorly understood. Here, we used functional ultrasound (fUS) imaging to examine cerebral blood volume (CBV) changes in freely exploring rats. High-resolution imaging during open-field exploration revealed strong correlations between CBV and animal speed across hippocampal-parahippocampal regions. Lagged general linear modeling uncovered hierarchical information flow from the thalamus to the parahippocampal cortex and hippocampal subfields (dentate gyrus, CA1–CA3). This speed-CBV relationship showed sharp spatial specificity to navigation structures. Multivariate decoding demonstrated that CBV signals carry highly accurate encodings of locomotion speed, remaining robust across animals. We also identified slow CBV oscillations aligned with exploratory behavior fluctuations. These findings reveal a hemodynamic signature of speed representation arising from energy demands in continuous attractor networks, where population activity scales quadratically with speed, and establish fUS imaging as a powerful tool for investigating the neurovascular basis of navigation.
KW - CP: neuroscience
KW - animal speed
KW - cerebral blood volume
KW - continuous attractor network
KW - freely moving
KW - functional ultrasound imaging
KW - hippocampus
KW - locomotion
KW - path integration
KW - spatial navigation
UR - https://www.scopus.com/pages/publications/105029041367
U2 - 10.1016/j.celrep.2025.116791
DO - 10.1016/j.celrep.2025.116791
M3 - Article
C2 - 41468267
AN - SCOPUS:105029041367
SN - 2639-1856
VL - 45
JO - Cell Reports
JF - Cell Reports
IS - 1
M1 - 116791
ER -