Réponses hémodynamiques cérébrales associées aux rythmes thêta et gamma lors du mouvement libre et du sommeil paradoxal

Theta rhythm is a prominent oscillatory pattern of EEG strongly associated with active locomotion and REM sleep. While it has been shown to play a crucial role in communication between brain areas and memory processes, there is a lack of extensive data due to the difficulty to image global brain activity during locomotion behavior. In this thesis, I developed an approach that combines local field potential recordings (LFP) and functional ultrasound imaging (fUS) to unrestrained rats. For the first time, I could image the hemodynamic responses associated with theta rhythm in most central nervous system (CNS) structures, with high spatial (100 x 100 x 400 μm) and temporal (200 ms) resolutions. During running and REM sleep, hemodynamic variations in the hippocampus, dorsal thalamus and cortices (S1BF, retrosplenial) correlated strongly with instantaneous theta power, with a delay ranging from 0.7 to 2.0 s after theta peak. Interestingly, mid (55-95 Hz) and high gamma (100-150 Hz) instantaneous power better explained hemodynamic variations than mere theta activity, while low-gamma (30-50 Hz) did not. Hippocampal hyperaemia followed sequentially the trisynaptic circuit (dentate gyrus - CA3 region - CA1 region) and was considerably strengthened as the task progressed. REM sleep revealed brain-wide tonic hyperaemia, together with phasic high-amplitude vascular activation starting in the dorsal thalamus and fading in cortical areas, which we referred to as “vascular surges”. Strong bursts of hippocampal high gamma (100-150 Hz) robustly preceded these surges, while the opposite was not true. Taken together, these results reveals the spatio-temporal dynamics of hemodynamics associated with locomotion and REM sleep and suggest a strong link between theta, high-gamma rhythms and brain-wide vascular activity.Le rythme thêta est un rythme cérébral associé à l’activité locomotrice et au sommeil paradoxal. Bien que son implication dans la communication entre régions du cerveau et processus mnésiques ait largement été démontrée, il persiste un manque de données extensives dû à la difficulté d’imager l’ensemble de l’activité cérébrale dans des conditions naturelles de locomotion et d’exploration. Dans cette thèse, j’ai développé une approche qui combine l’enregistrement des potentiels de champs locaux à l’imagerie ultrasonore fonctionnelle (fUS) sur l’animal en mouvement libre. Pour la première fois, j’ai pu révéler les réponses hémodynamiques associées au rythme thêta dans la plupart des structures du système nerveux central avec de bonnes résolutions spatiale (100 x 100 x 400 μm) et temporelle (200 ms). Pendant la locomotion et le sommeil, les variations hémodynamiques de l’hippocampe, du thalamus dorsal et du cortex (rétrosplenial, somatosensoriel) corrèlent fortement avec la puissance instantanée du signal thêta hippocampique, avec un décalage temporel variant de 0.7 s à 2.0 s selon les structures. De manière intéressante, les rythmes gamma hippocampiques moyen (55-95 Hz) et rapide (100-150 Hz) expliquent la variance des signaux hémodynamiques mieux que le seul rythme thêta, alors que le rythme gamma lent (30-50 Hz) est non pertinent. L’hyperémie fonctionnelle de l’hippocampe suit séquentiellement la boucle tri-synaptique (gyrus denté - région CA3 - région CA1) et se renforce considérablement à mesure que la tâche progresse. Lors du sommeil paradoxal, j’ai observé une hyperémie tonique globale ainsi que des activations phasiques de grande amplitude initiées dans le thalamus et terminant dans les aires corticales, que nous avons appelées “poussées vasculaires”. De fortes bouffées d’activité gamma rapide (100-150 Hz) précèdent de manière robuste ces poussées vasculaires, l’inverse n’étant pas vrai. Dans l’ensemble, ces résultats révèlent la dynamique spatio-temporelle des signaux hémodynamiques associés à la locomotion et au sommeil paradoxal et suggèrent un lien fort entre rythmes thêta, gamma rapide et activité vasculaire global

EEG and functional ultrasound imaging in mobile rats

International audienceWe 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

Simultaneous recording of neuronal and vascular dynamics in mobile animals

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4D microvascular imaging based on ultrafast Doppler tomography

International audience4D ultrasound microvascular imaging was demonstrated by applying ultrafast Doppler tomography (UFD-T) to the imaging of brain hemodynamics in rodents. In vivo real-time imaging of the rat brain was performed using ultrasonic plane wave transmissions at very high frame rates (18,000 frames per second). Such ultrafast frame rates allow for highly sensitive and wide-field-of-view 2D Doppler imaging of blood vessels far beyond conventional ultrasonography. Voxel anisotropy (100 mu m x 100 mu m x 500 mu m) was corrected for by using a tomographic approach, which consisted of ultrafast acquisitions repeated for different imaging plane orientations over multiple cardiac cycles. UFT-D allows for 4D dynamic microvascular imaging of deep-seated vasculature (up to 20 mm) with a very high 4D resolution (respectively 100 mu m x 100 mu m x 100 mu m and 10 ms) and high sensitivity to flow in small vessels (>1 mm/s) for a whole-brain imaging technique without requiring any contrast agent. 4D ultrasound microvascular imaging in vivo could become a valuable tool for the study of brain hemodynamics, such as cerebral flow autoregulation or vascular remodeling after ischemic stroke recovery, and, more generally, tumor vasculature response to therapeutic treatment

Multiplane wave imaging increases signal-to-noise ratio in ultrafast ultrasound imaging

International audienceUltrafast imaging using plane or diverging waves has recently enabled new ultrasound imaging modes with improved sensitivity and very high frame rates. Some of these new imaging modalities include shear wave elastography, ultrafast Doppler, ultrafast contrast-enhanced imaging and functional ultrasound imaging. Even though ultrafast imaging already encounters clinical success, increasing even more its penetration depth and signal-to-noise ratio for dedicated applications would be valuable. Ultrafast imaging relies on the coherent compounding of backscattered echoes resulting from successive tilted plane waves emissions; this produces high-resolution ultrasound images with a trade-off between final frame rate, contrast and resolution. In this work, we introduce multiplane wave imaging, a new method that strongly improves ultrafast images signal-to-noise ratio by virtually increasing the emission signal amplitude without compromising the frame rate. This method relies on the successive transmissions of multiple plane waves with differently coded amplitudes and emission angles in a single transmit event. Data from each single plane wave of increased amplitude can then be obtained, by recombining the received data of successive events with the proper coefficients. The benefits of multiplane wave for B-mode, shear wave elastography and ultrafast Doppler imaging are experimentally demonstrated. Multiplane wave with 4 plane waves emissions yields a 5.8 +/- 0.5 dB increase in signal-to-noise ratio and approximately 10 mm in penetration in a calibrated ultrasound phantom (0.7 d MHz(-1) cm(-1)). In shear wave elastography, the same multiplane wave configuration yields a 2.07 +/- 0.05 fold reduction of the particle velocity standard deviation and a two-fold reduction of the shear wave velocity maps standard deviation. In functional ultrasound imaging, the mapping of cerebral blood volume results in a 3 to 6 dB increase of the contrast-to-noise ratio in deep structures of the rodent brain

Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity

International audienceUltrafast ultrasonic imaging is a rapidly developing field based on the unfocused transmission of plane or diverging ultrasound waves. This recent approach to ultrasound imaging leads to a large increase in raw ultrasound data available per acquisition. Bigger synchronous ultrasound imaging datasets can be exploited in order to strongly improve the discrimination between tissue and blood motion in the field of Doppler imaging. Here we propose a spatiotemporal singular value decomposition clutter rejection of ultrasonic data acquired at ultrafast frame rate. The singular value decomposition (SVD) takes benefits of the different features of tissue and blood motion in terms of spatiotemporal coherence and strongly outperforms conventional clutter rejection filters based on high pass temporal filtering. Whereas classical clutter filters operate on the temporal dimension only, SVD clutter filtering provides up to a four-dimensional approach (3D in space and 1D in time). We demonstrate the performance of SVD clutter filtering with a flow phantom study that showed an increased performance compared to other classical filters (better contrast to noise ratio with tissue motion between 1 and 10mm/s and axial blood flow as low as 2.6 mm/s). SVD clutter filtering revealed previously undetected blood flows such as microvascular networks or blood flows corrupted by significant tissue or probe motion artifacts. We report in vivo applications including small animal fUltrasound brain imaging (blood flow detection limit of 0.5 mm/s) and several clinical imaging cases, such as neonate brain imaging, liver or kidney Doppler imaging