Objective: Exhaustion of Serotonin (5-hydroxytryptamine, 5-HT) is a typical cause of the depression disorder’s development and progression, including depression-like behaviors. Transcranial ultrasound stimulation (TUS) is an emerging non-invasive neuromodulation technique treating various neurodegenerative diseases. This study aims to investigate whether TUS ameliorates depression-like behaviors by restoring 5-HT levels. Methods: The depression model mice are established by chronic restraint stress (CRS). Ultrasound waves (FF = 1.1MHz, PRF = 1000 Hz, TBD = 0.5 ms, SD = 1 s, ISI = 1 s, and DC = 50%) were delivered into the dorsal raphe nucleus (DRN) for 30 min per day for two weeks. Depression-like behavior changes are evaluated with the sucrose preference and tail suspension tests. Liquid chromatography-mass spectrometry is performed to quantitatively detect the concentration of 5-HT in the DRN to explore its potential mechanism. The effectiveness and safety of TUS assessed by c-Fos immunofluorescence and hematoxylin and eosin (HE) staining, respectively. Results: Three weeks after CRS, 22 depressive mice models were screened by sucrose preference index (SPI). After two weeks of ultrasound stimulation of the DRN (DRN-TUS) in depressive mice, the SPI was increased (p = 0.1527) and the tail suspension immobility duration was significantly decreased (p = 0.0038) compared with the non-stimulated group. In addition, TUS significantly enhances the c-Fos (p = 0.05) positive cells’ expression and the 5-HT level (p = 0.0079) in the DRN. Importantly, HE staining shows no brain tissue damage. Conclusion: These results indicate that DRN-TUS has safely and effectively improved depression-like behaviors including anhedonia and hopelessness, potentially by reversing the depletion of 5-TH. Significance: TUS may provide a new perspective on depression therapy, possibly through restoring monoamine levels.

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Objective: Ultrasound neuromodulation has become an emerging method for the therapy of neurodegenerative and psychiatric diseases. The phased array ultrasonic transducer enables multi-target ultrasound neuromodulation in small animals, but the relatively large size and mass and the thick cables of the array limit the free movement of small animals. Furthermore, spatial interference may occur during multi-target ultrasound brain stimulation with multiple micro transducers. Approach: In this study, we developed a miniature power ultrasound transducer and used the virtual source time inversion method and 3-D printing technology to design, optimize, and manufacture the acoustic holographic lens to construct a multi-target ultrasound neuromodulation system for free-moving mice. The feasibility of the system was verified by in vitro transcranial ultrasound field measurements, in vivo dual-target blood-brain barrier opening experiments, and in vivo dual-target ultrasound neuromodulation experiments. Main results: The developed miniature transducer has a diameter of 4.0 mm, a center frequency of 1.1 MHz, and a weight of 1.25 g. The developed miniature acoustic holographic lens had a weight of 0.019 g to generate dual-focus transcranial ultrasound. The ultrasonic field measurements’ results showed that the bifocal’s horizontal distance was 3.0 mm, the -6 dB focal spot width in the x-direction was 2.5 and 2.25 mm, and 2.12 and 2.24 mm in the y-direction. Finally, the in vivo experimental results showed that the system could achieve dual-target blood-brain barrier opening and ultrasound neuromodulation in freely-moving mice. Significance: The ultrasonic neuromodulation system based on a miniature single-element transducer and the miniature acoustic holographic lens could achieve dual-target neuromodulation in awake small animals, which is expected to be applied to the research of non-invasive dual-target ultrasonic treatment of brain diseases in awake small animals.

Traditional Chinese medicine (TCM) is widely used in China, but the large variety can easily lead to difficulties in visual identification. This study aims to evaluate the availability of target detection models to identify TCMs. We have collected images of 100 common TCMs in pharmacies, and use three current mainstream target detection models: Faster RCNN, SSD, and YOLO v5 to train the TCM dataset. By comparing the metrics of the three models, the results show that the YOLO v5 model has obvious advantages in the recognition of a variety of TCM, the mean average accuracy of the YOLO v5 is 94.33% and the FPS has reached 75, this model has a smaller number of parameters and solves the problem of detection and occlusion for small targets. Our experiments prove that the target detection technology has broad application prospects in the detection of TCM.

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