EEG and functional ultrasound imaging in mobile rats
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We developed an integrated experimental framework that extends the brain exploration capabilities of functional ultrasound imaging to awake and mobile rats. In addition to acquiring hemodynamic data, this method further allows parallel access to electroencephalography (EEG) recordings of neuronal activity. We illustrate this approach with two proofs of concept: a behavioral study on theta rhythm activation in a maze running task and a disease-related study on spontaneous epileptic seizures.
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Vascular patterns observed during REMS involve the same highly responsive regions in a similar dynamic sequence (sequential activation of dorsal thalamus, dorsal hippocampus, and cortex) as observed during active running on a similar track.
“Secondly, the vascular patterns observed during REMS involved the same highly responsive regions in a similar dynamic sequence (sequential activation of dorsal thalamus, dorsal hippocampus, and cortex) as observed and described during active running on a similar track27.”
From Local hippocampal fast gamma rhythms precede brain-wide hyperemic patterns during spontaneous rodent REM sleep (2018) · cites this paper as [27]
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Self-citationFunctional MRI of large scale activity in behaving micePreprint
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Functional Neuroimaging in Rodents Using Cerebral Blood Flow SPECT
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Imaging the brain by traversing the skull with light and sound
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Self-citationGlobal dissociation of the posterior amygdala from the rest of the brain during REM sleep
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Self-citationRandomized channel subsampling method for efficient ultrafast ultrasound imaging
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Functional ultrasound imaging of stroke in awake rats
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Imaging the response to deep brain stimulation in rodent using functional ultrasound
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Brain-wide mapping of resting-state networks in mice using high-frame rate functional ultrasound
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Functional Brain Imaging Based on the Neurovascular Unit for Evaluating Neural Networks after Strok
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Functional ultrasound imaging of the brain activity in human neonates
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Functional ultrasound imaging and neuronal activity: How accurate is the spatiotemporal match?
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- Authors
- Sieu, L.-A., Bergel, A., Tiran, E., Deffieux, T., Pernot, M., Gennisson, J.-L., Tanter, M., & Cohen, I.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Cohen, Ivan
- ORCID
- Venue
- Nature Methods
- Published
- 2015-08-03
- Volume
- 12
- Issue
- 9
- Pages
- 831-834
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC4671306
- OpenAlex
- W2099165579
- Cited by
- 158
- References
- 22
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 10 · 2023: 19 · 2022: 18 · 2021: 17 · 2020: 19 · 2019: 14 · 2018: 16 · 2017: 9 · 2016: 4 · 2015: 2
- FWCI
- 5.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-10-IDEX-0001)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Photoacoustic and Ultrasonic Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- functional ultrasound imaging, EEG, theta oscillations, epileptic seizures, hemodynamic imaging, neuronal activity, multimodal neuroimaging
- MeSH terms
- Animals, Brain, Brain Mapping, Echoencephalography, Electroencephalography, Equipment Design, Male, Theta Rhythm, Rats, Sprague-Dawley, Monitoring, Ambulatory, Maze Learning, Equipment Failure Analysis, Rats
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