Hypertension, a common risk factor for cardiovascular diseases, has aroused global concern. As breakthroughs have been achieved in the traditional Chinese medicine(TCM) and western medicine theories related to the heart and brain, top international journals such as Science pay increasing attention to the functional interaction between the heart and brain in modern medicine, known as the "heart-brain" axis, also referred to as the "cardiovascular-brain" circuit. The heart and brain interact and influence each other through the "heart-brain" axis. Increasing evidence suggests that the inflammation-regulated "heart-brain" axis plays a crucial role in the occurrence and development of hypertension, offering new insights for the treatment of cardiovascular diseases. In TCM, there is a connection between the heart and brain by the sharing of blood essence, interconnected blood vessels, and shared governance over the mind. Diseases of the heart and brain share common pathological and physiological foundations, similar risk factors, and TCM pathogeneses, which form the basis for simultaneous treatment of heart and brain diseases in TCM. The principle of simultaneous treatment of the heart and brain diseases aligns with the theory of "heart-brain" axis. Modern research has found that the heart and brain are the main target organs of hypertension. Long-term high blood pressure can easily cause structural changes, mainly characterized by left ventricular hypertrophy and dilation, leading to hypertensive heart disease. Hypertension can change the structure, blood supply, and function of the brain, being closely related to cerebral atherosclerosis, cerebral infarction, cerebral hemorrhage, cognitive dysfunction, dementia and other brain diseases. TCM treatment of hypertension has a long history. According to the pathogenesis(Yang hyperactivity and blood stasis) of hypertension, the team has developed the core treatment principle of subduing Yang and activating blood. Through extensive clinical exploration and experimental research, the team has developed an effective prescription called Tianxiong Granules. This prescription has shown definite efficacy in stabilizing blood pressure, ameliorating clinical symptoms, and reducing target organ damage. The protective effects of Tianxiong Granules on the heart and brain are reflected in aspects such as symptoms related to the heart and brain, pharmacological effects on ventricular hypertrophy, and brain protection. The preliminary research by the team found that Tianxiong Granules might treat hypertension by inhibiting sympathetic nerve excitation and renin-angiotensin-aldosterone system(RAAS) and targeting mitochondrial autophagy to regulate the activation of the NOD-like receptor family pyrin domain containing 3(NLRP3) inflammasome. The activation of the NLRP3 inflammasome mediates pyroptosis, which is a key mechanism of hypertension. Next, the team will construct the adeno-associated viruses with downregulated NLRP3 expression via adenoviral vectors and use viral tracing technology, left stellate ganglionectomy, and a cardiac denervation model to reveal the mechanism of Tianxiong Granules in regulating the heart-brain interaction in hypertensive rats, from both in vivo and in vitro perspectives. In summary, exploring clinical treatment strategies for hypertension from both heart and brain based on the "heart-brain" axis is likely to be a new direction for the development of drugs for hypertension and offers a new target and basis for intervention in hypertension.
Humans ; Hypertension/physiopathology* ; Drugs, Chinese Herbal/administration & dosage* ; Brain/physiopathology* ; Animals ; Heart/physiopathology*

Based on the traditional Chinese medicine(TCM) theory of "kidney-brain interaction", a two-sample Mendelian randomization(MR) analysis was conducted to investigate the causal effects of chronic kidney disease(CKD) on Alzheimer's disease(AD) and analyze the potential mechanisms of kidney-tonifying and essence-replenishing TCM to improve AD. From the perspective that CKD is closely related to the core pathogenesis of AD, namely "kidney deficiency, essence loss, and marrow reduction", genome-wide association study(GWAS) data was used, with the inverse variance weighting(IVW) method as the main approach to reveal the causal association between CKD and AD. Sensitivity analysis was conducted to evaluate the robustness of the results. To further investigate the causal effects of CKD on AD, two different AD datasets were used as outcomes, and the urinary albumin-to-creatinine ratio(UACR) data was used as the exposure for a supplementary analysis. On this basis, the modern scientific mechanism of the kidney-tonifying and essence-replenishing method for improving AD was further explored. The IVW analysis show that CKD(ieu-b-2: OR=1.084, 95%CI[1.011, 1.163], P=0.024; ieu-b-5067: OR=1.001, 95%CI[1.000, 1.001], P=0.002) and UACR(ieu-b-2: OR=1.247, 95%CI[1.021, 1.522], P=0.031; ieu-b-5067: OR=1.001, 95%CI[1.000, 1.003], P=0.015) both have significant causal effects on AD in different datasets, with CKD increasing the risk of AD. The sensitivity analysis further confirmed the reliability of the results. Genetic studies have shown that CKD has a significant causal effect on AD, suggesting that controlling CKD is an important intervention measure for preventing and treating AD. Therefore, further research on CKD's role in AD is crucial in clinical practice. The research enriches the theoretical implication of "kidney-brain interaction", deepens the understanding of AD' etiology, and provides further insights and directions for the prevention and treatment of AD with TCM, specifically from a kidney-based perspective.
Humans ; Alzheimer Disease/genetics* ; Renal Insufficiency, Chronic/genetics* ; Kidney/metabolism* ; Brain/physiopathology* ; Genome-Wide Association Study ; Medicine, Chinese Traditional ; Mendelian Randomization Analysis

OBJECTIVES: To explore the effects of acupuncture combined with rehabilitation training for promoting transdifferentiation of astrocytes into neurons in mice after cerebral ischemia. METHODS: Male C57/BL6J mice were subjected to intracerebral microinjection of an adeno-associated virus carrying the GFAP promoter for NeuroD1 and Ngn2 overexpression in the astrocytes, followed 3 or 12 days later by electrocoagulation of the distal middle cerebral artery. After modeling, the mice were randomly divided into model group without interventions and intervention group treated with electroacupuncture at the acupoints Baihui (GV20), left Hegu (LI4), Neiguan (PC6), Zusanli (ST36), and Yanglingquan (GB34) 24 h after surgery. The mice in the intervention group were housed individually in cages with running wheels, and their activity was recorded every 24 h. Neurological function scores of the mice were assessed on the 1st, 14th, and 21st days after modeling. Transdifferentiation of astrocytes in the target brain regions was observed using double immunofluorescence staining. RESULTS: Compared with those in the model group, the mice receiving eletroacupuncture and rehabilitation training showed significant improvement of neurological deficits at 14 and 21 days after modeling. The GFAP promoter of the AAV2/5 vector specifically labeled the local astrocytes, and compared with that that in the model group, the number of AAV-positive cells colabeled with the neuronal marker DCX significantly increased after 14 days of electroacupuncture and rehabilitation intervention, and the number of AAV-positive cells colabeled with the neuronal marker NeuN significantly increased after 21 days of intervention. CONCLUSIONS In mice with cerebral ischemia, electroacupuncture and rehabilitation training can promote transdifferentiation of astrocytes into neurons in the ischemic brain region, and the efficiency of transdifferentiation is positively correlated with the improvement of motor function.
Animals ; Electroacupuncture ; Astrocytes/cytology* ; Cell Transdifferentiation ; Male ; Mice, Inbred C57BL ; Brain Ischemia/physiopathology* ; Mice ; Neurons/cytology* ; Doublecortin Protein

Depressive disorder is a chronic, recurring, and potentially life-endangering neuropsychiatric disease. According to a report by the World Health Organization, the global population suffering from depression is experiencing a significant annual increase. Despite its prevalence and considerable impact on people, little is known about its pathogenesis. One major reason is the scarcity of reliable animal models due to the absence of consensus on the pathology and etiology of depression. Furthermore, the neural circuit mechanism of depression induced by various factors is particularly complex. Considering the variability in depressive behavior patterns and neurobiological mechanisms among different animal models of depression, a comparison between the neural circuits of depression induced by various factors is essential for its treatment. In this review, we mainly summarize the most widely used behavioral animal models and neural circuits under different triggers of depression, aiming to provide a theoretical basis for depression prevention.
Animals ; Disease Models, Animal ; Depressive Disorder/psychology* ; Humans ; Behavior, Animal/physiology* ; Nerve Net/physiopathology* ; Brain/physiopathology* ; Neural Pathways/physiopathology*

Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG). By fusing EEG features associated with both emotional and resting states, our method captures comprehensive depression-related information. The final depression detection model, derived through decision fusion with multiple independent models, further enhances detection efficacy. Our experiments involved 40 adolescents with depression and 40 matched controls. The proposed model achieved an accuracy of 86.54% on cross-validation and 88.20% on the independent test set, demonstrating the efficiency of multimodal fusion. In addition, further analysis revealed distinct brain activity patterns between the two groups across different modalities. These findings hold promise for new directions in depression detection and intervention.
Humans ; Male ; Female ; Adolescent ; Case-Control Studies ; Depression/diagnosis* ; Early Diagnosis ; Rest ; Electroencephalography/methods* ; Brain-Computer Interfaces ; Models, Psychological ; Reproducibility of Results ; Affect/physiology* ; Photic Stimulation/methods* ; Video Recording ; Brain/physiopathology*

Attention deficit hyperactivity disorder (ADHD), a prevalent neurodevelopmental disorder influenced by both genetic and environmental factors, remains poorly understood regarding how its polygenic risk score (PRS) impacts functional networks and symptomology. This study capitalized on data from 11,430 children in the Adolescent Brain Cognitive Development study to explore the interplay between PRS_ADHD, brain function, and behavioral problems, along with their interactive effects. The results showed that children with a higher PRS_ADHD exhibited more severe attention deficits and rule-breaking problems, and experienced sleep disturbances, particularly in initiating and maintaining sleep. We also identified the central executive network, default mode network, and sensory-motor network as the functional networks most associated with PRS and symptoms in ADHD cases, with potential mediating roles. Particularly, the impact of PRS_ADHD was enhanced in children experiencing heightened sleep disturbances, emphasizing the need for early intervention in sleep issues to potentially mitigate subsequent ADHD symptoms.
Humans ; Attention Deficit Disorder with Hyperactivity/physiopathology* ; Male ; Female ; Sleep Wake Disorders/physiopathology* ; Adolescent ; Child ; Brain/diagnostic imaging* ; Multifactorial Inheritance ; Genetic Predisposition to Disease

Repetitive transcranial magnetic stimulation (rTMS) is a rapid and effective therapy for major depressive disorder; however, there is significant variability in therapeutic outcomes both within and across individuals, with approximately 50% of patients showing no response to rTMS treatment. Many studies have personalized the stimulation parameters of rTMS (e.g., location and intensity of stimulation) according to the anatomical and functional structure of the brain. In addition to these parameters, the internal states of the individual, such as circadian rhythm, behavior/cognition, neural oscillation, and neuroplasticity, also contribute to the variation in rTMS effects. In this review, we summarize the current literature on the interaction between rTMS and internal states. We propose two possible methods, multimodal treatment, and adaptive closed-loop treatment, to integrate patients' internal states to achieve better rTMS treatment for depression.
Humans ; Transcranial Magnetic Stimulation/methods* ; Depressive Disorder, Major/physiopathology* ; Neuronal Plasticity/physiology* ; Brain/physiopathology*

Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans ; White Matter/pathology* ; Male ; Female ; Cognitive Dysfunction/physiopathology* ; Middle Aged ; Aged ; Color Perception/physiology* ; Brain/pathology* ; Neuropsychological Tests ; Diffusion Tensor Imaging

Oxytocin is classically termed a 'prosocial neuropeptide' because of its evolutionarily conserved role in promoting affiliative behaviors. Endogenous oxytocin is mainly synthesized by hypothalamic oxytocin neurons and signals through oxytocin receptors (OxtRs). Recent studies with cell type-specific and circuit-specific interrogation have uncovered that oxytocin signals exert pleiotropic neuromodulatory effects through anatomically widespread axonal projections and ubiquitously distributed OxtRs. Dysfunctions of oxytocin signals are closely relevant to brain disorders/diseases. While intranasal oxytocin administration has been demonstrated to be one potential strategy to alleviate some brain disorders/diseases, such as autism, obesity, and anxiety, conflicting clinical outcomes highlight the imperative for precision-targeted neuromodulation strategies. Dissecting the molecular, cellular, and neural circuitry mechanisms underlying oxytocinergic modulation is a prerequisite to achieving this goal. This review provides an overview of the current understanding of the oxytocin system in terms of anatomical structure, neuronal modulation, and signal pathways, and discusses the modulatory roles of oxytocin in social, feeding, emotional, and sensory-related brain functions and brain diseases.
Oxytocin/metabolism* ; Humans ; Animals ; Hypothalamus/physiology* ; Brain/physiology* ; Brain Diseases/physiopathology* ; Receptors, Oxytocin/metabolism*

The pain-evoked potential electroencephalogram (EEG) is an effective electrophysiological indicator for pain assessment, yet its extraction is challenging due to interference from background activity and involuntary blinks. Although existing blink artifact-removal methods show efficacy, they face limitations such as the need for reference signals, neglect of individual differences, and reliance on user input, hindering their practical application in clinical pain assessments. In this paper, we propose a novel framework applying adaptive quadrature mirror filter banks (AQMFB) with discrete wavelet transform (DWT) to remove blink artifacts in pain EEG. Unlike traditional DWT methods that apply fixed wavelets across subjects, our method adapts wavelet construction based on the characteristics of EEG. Experimental results demonstrate that AQMFB-DWT outperforms four leading methods in removing blink artifacts with minimal distortion of pain information, all within an acceptable processing time. This technique is a valuable preprocessing step for enhancing the extraction of pain-evoked potentials.
Humans ; Artifacts ; Blinking/physiology* ; Electroencephalography/methods* ; Pain/diagnosis* ; Male ; Wavelet Analysis ; Adult ; Female ; Evoked Potentials/physiology* ; Young Adult ; Brain/physiopathology* ; Pain Measurement/methods* ; Signal Processing, Computer-Assisted