The mental health management of laboratory animals is a critical factor in ensuring the reliability of scientific research data. However, due to the subtle nature of mental state alterations and the limitations of current assessment methods, the mental health of laboratory animals is often overlooked by researchers. Therefore, there is an urgent need to explore a new, objective, simple, and practical method for evaluating mental health. Stress, as a primary factor inducing alterations in the mental state of animals, can influence experimental results across multiple research fields through the neuroendocrine-immune network. This paper first elucidates the necessity of mental health management in laboratory animals from three perspectives: factors contributing to stress, neural mechanisms of stress, and research areas affected by stress. It highlights that excluding animals with abnormal mental states before experiments can enhance the efficiency and reproducibility of biomedical studies. Second, this paper briefly summarizes existing methods for assessing the health of laboratory animals, pointing out that approaches such as behavioral tests and metabolomics have many limitations in evaluating stress responses. Existing methods struggle to meet the demand for simple, objective, and non-invasive assessment methods in animal management. Therefore, this paper focuses on hair, a biological sample with the advantages of cumulative information and non-invasive collection, and systematically describes the theoretical basis and technological advances in using hair characteristics as indicators of stress responses from three perspectives: hair traits, the levels of substances in hair, and artificial intelligence (AI). It proposes and supports an innovative technical pathway that combines hair traits with AI-based image analysis, with the aim of offering an improved solution for non-invasive and objective stress assessment, while providing theoretical support for improving the health management system of laboratory animals.

Objective:To explore the influencing factors of satisfaction with thyroid nodule fine needle biopsy (FNA).Methods:The ultrasonic images of 88 patients with thyroid nodules (95 nodules) in Dongguan Binhai Bay Central Hospital from September 2016 to January 2019 were analyzed retrospectively. According to Bethesda cytological classification standard, Bethesda class Ⅰ cytological specimens were defined as unsatisfactory, and Bethesda class Ⅱ-Ⅵ cytological specimens were defined as satisfactory. The thyroid nodule location, composition, internal echo, morphology, aspect ratio, calcification, blood supply mode and American College of Radiology Thyroid Imaging Reporting and Data System(ACR TI-RADS) classification on the satisfaction rate of thyroid nodule FNA samples were evaluated, and then the meaningful influencing factors were analyzed by logistic regression.Results:The overall satisfaction of the sample in this study was 84.2% (80/95). The results of univariate analysis showed that the location, aspect ratio and ACR TI-RADS classification of thyroid nodules were the related factors affecting the satisfaction of FNA specimens of thyroid nodules, with statistically significant difference ( P<0.05). Logistic regression analysis showed that the aspect ratio of thyroid nodules was an independent factor affecting the satisfaction of FNA specimens of thyroid nodules ( OR=13.5, P=0.02). Conclusions:The main factor affecting the satisfaction rate of FNA specimens of thyroid nodules may lie in the characteristics of the aspect ratio of the nodules themselves. Optimizing the puncture route may help to reduce the dissatisfaction rate of FNA specimens of thyroid nodules.

Objective To observe the effect of comprehensive rehabilitation based on motor control on sensory-ataxic acute Guillain-Barre syndrome. Methods A patient with sensory-ataxic acute Guillain-Barre syndrome was treated with kinesitherapy based on motor control,included proprioceptive neuromuscular facilitation, coordination training, functional training, balance training, as well as sensory stimulation on the end of arms and legs, recumbent cross trainer therapy and cycle therapy for 2 months. Results After treatment, the score of International Cooperative Ataxia Rating Scale (ICARS) decreased 36 points, activities of daily living increased 9 points, Berg Balance Scale increased 9 points, and modified Barthel Index increased 50 points. Conclusion The comprehensive rehabilitation based on motor control is effective on this patient, but more cases and systematic curative effect evaluation are needed.

Objective To investigate activation patterns in the motor cortex of patients with cerebral infarction by blood oxygen level dependent-functional magnetic resonance imaging ( BOLD-fMRI) , and to explore the brain's functional reorganization mechanism. Methods Sixteen patients ( 12 men and 4 women, age 37 to 80, mean 61.0±11.3) who had suffered a subcortical infarction within the previous 3 months were studied. All the patients received fMRI scanning during passive flexion-extension movement of both the affected and unaffected wrist separately.Brain functional mapping was acquired with SPM2 software. Activation patterns in the brain were compared between the affected and unaffected hands. Results The volume and intensity of the activated areas were diverse, but showed some order. When the affected hand moved, the fMRI map showed general hyperactivation. When the unaffected hand moved, the contralateral M1 and S1 were activated. Conclusions After cerebral infarction, the brain cortex showed compensatory changes. As the main motor cortex (M1) was deactivated, the subsidiary motor areas such as the PMC, SMA, CMA, IPL, PFC and CRB were activated. The activated motor areas could shift to the area around the lesion, and the non-motor area was activated also.