BackgroundAcupuncture has been increasingly applied as an adjunctive treatment for major depressive disorder (MDD), yet its central neurobiological mechanisms remain insufficiently understood. Cerebral blood flow (CBF) and functional connectivity strength (FCS) provide complementary perspectives on regional metabolic activity and large-scale functional integration, and their coupling may reflect neurovascular coordination relevant to depression.MethodsTwenty patients with MDD and twenty matched healthy controls (HC) underwent resting-state MRI. Patients received intradermal acupuncture (IA) and were scanned before and immediately after stimulation, while healthy controls were scanned once. Voxel-wise analyses of CBF, FCS, and their ratio (CBF/FCS) were performed to characterize acupuncture-related changes in neurovascular coupling. Group comparisons and pre–post acupuncture effects were assessed at the whole gray matter level.ResultsAcupuncture induced significant alterations in CBF/FCS coupling across widespread brain regions, including the bilateral precuneus, postcentral gyrus, superior temporal pole, superior frontal gyrus, occipital cortex, and cerebellum. These regions are primarily involved in sensorimotor processing, cognitive control, and emotional regulation. Overall, IA was associated with an immediate increase in CBF/FCS coupling, suggesting enhanced coordination between cerebral perfusion and functional network integration.ConclusionThis study provides evidence that intradermal acupuncture modulates neurovascular coupling in patients with MDD, offering neuroimaging-based insights into its antidepressant mechanisms. The findings support the notion that acupuncture may facilitate more efficient brain function by optimizing the balance between neural activity and metabolic supply.
Effect of low-intensity focused ultrasound on hippocampus of alcohol addicted mice: a preliminary study
Alcohol addiction is a chronic relapsing brain disorder characterized by significant neurobiological changes, particularly within the hippocampus, which mediates emotional regulation and reward-seeking behavior. Previous studies have shown that alcohol-induced neuronal injury contributes to withdrawal-associated anxiety and persistent alcohol preference. This study investigated the therapeutic effects of low-intensity focused ultrasound (LIFU) on the hippocampus in a mouse model of alcohol addiction. Twenty-six male C57BL/6 mice were allocated to an alcohol-exposed group (n = 20) and a control group (n = 6). Following a 28-day modeling period, the alcohol group was randomly subdivided into a therapy group and a sham group. The therapy group received LIFU treatment, while the sham group underwent an identical procedure with the ultrasound transducer powered off. After seven days of treatment, the therapy group exhibited less severe anxiety symptoms upon alcohol withdrawal and a reduced preference for alcohol compared to the sham group. The brain-derived neurotrophic factor (BDNF) concentration was significantly lower in the therapy group than in the sham group, but did not differ significantly from the control group. Hippocampal HE staining revealed more pronounced degeneration and apoptosis of granule cells in the dentate gyrus (DG) region in the sham group relative to the therapy group. These preliminary findings suggest that LIFU may modulate alcohol addiction by mitigating hippocampal neuronal injury.
The patterns of relapse and abstinence: using machine learning to identify a multidimensional signature of long-term outcome after inpatient alcohol withdrawal treatment
AimsA machine learning approach to identify a multidimensional signature associated with relapse and long-term outcome in alcohol dependence treatment.DesignIn this observational naturalistic study, inpatients with alcohol dependence received qualified detoxification plus CBT (Cognitive Behavioral Therapy) and were followed up 6-months after discharge to assess abstinence and drinking behavior. Cross-validated multivariate sparse partial least squares analysis (SPLS) was used to investigate the relationship between clinical features and four long-term outcome variables.SettingGermany.Participants152 patients (on average 47.8 years old, 72% male) with alcohol dependence, who received inpatient qualified detoxification plus CBT.Measurements35 clinical features were used to cover all three phases of inpatient treatment (pre-, within-, post-treatment). Among these, sociodemographic characteristics, ICD-10 psychiatric diagnoses, previous detoxification treatments, and somatic measurements as well as inpatient treatment setting such as withdrawal medication, liver ultrasound, further information about the patients´ stay, and post-inpatient care were assessed. The four outcome dimensions included: continuous abstinence, abstinence at follow up, daily alcohol consumption, and days of abstinence after discharge.FindingsSix months after withdrawal treatment 46% of the patients achieved continuous abstinence. Socioeconomic, clinical and somatic features across the treatment timeline were analyzed and summarized into a multivariate signature associated with long-term treatment outcome. Thereby, the SPLS algorithm identified regular completion of withdrawal treatment, higher education, and employment status to be most strongly associated with a positive outcome. Alcohol-related hepatic and hematopoietic damage, number of previous withdrawal treatments and living in a shelter were most profoundly associated with a negative outcome.ConclusionConceiving treatment outcome as a multidimensional signature and moving beyond simple binary classifications of relapse versus abstinence may improve the understanding of relapse pathways and support more individualized treatment strategies.
Interoceptive dysfunction and its neural correlates in schizophrenia: protocol for a cross-sectional multimodal MRI study
BackgroundInteroception—the perception and integration of internal bodily signals—is fundamental to emotion regulation, bodily self-awareness, and predictive coding. Emerging evidence suggests that interoceptive disturbances may contribute to core psychopathological features of schizophrenia. Our research group recently conducted a systematic review and meta-analysis demonstrating significant impairments in interoceptive accuracy and sensitivity among individuals with schizophrenia. However, the neural mechanisms underlying these deficits remain unclear.MethodsThis cross-sectional protocol will recruit 30 individuals with schizophrenia and 30 age- and sex-matched healthy controls. Participants will complete (1) behavioral interoceptive assessment using the heartbeat counting task; (2) subjective interoceptive questionnaires, including the Multidimensional Assessment of Interoceptive Awareness (MAIA) and the Body Perception Questionnaire (BPQ); (3) clinical symptom ratings (PANSS, HAM-A, HAM-D); and (4) cognitive testing (TMT, animal fluency, DSST). All participants will undergo multimodal MRI scanning, including structural T1-weighted imaging, resting-state fMRI, and diffusion tensor imaging. Neuroimaging data will be preprocessed and analyzed using DPABISurf, SPM12, and GRETNA. Expected Results: We anticipate that individuals with schizophrenia will show reduced interoceptive accuracy, altered subjective interoceptive awareness, and abnormal intrinsic neural activity and connectivity within interoception-related circuits, including the anterior insula, anterior cingulate cortex, amygdala, and thalamus. Structural abnormalities within thalamo-cortical pathways are also expected. Interoceptive deficits are hypothesized to correlate with symptom severity and cognitive performance.ConclusionsThis study will provide an integrated characterization of interoceptive dysfunction and its neural correlates in schizophrenia. Findings may advance understanding of bodily self-disturbance and emotional dysregulation and support the development of future interoception-focused therapeutic approaches.Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2500110551.
Anxiety among Chinese primary school teachers under the “double reduction” policy: prevalence and associated factors
ObjectivesThe implementation of the “Double Reduction” Policy in China has raised concerns about increased anxiety levels among primary school teachers. However, the prevalence of anxiety symptoms and the factors associated with them remain unclear. This study aims to investigate the prevalence and correlates of anxiety among primary school teachers under this policy.MethodsA cross-sectional survey was conducted from September to October 2022 among primary school teachers in 15 cities across China. Participants completed a series of questionnaires administered via WeChat to assess anxiety symptoms and potential related factors, including perceived stress, sociodemographic characteristics, and job-related variables. Anxiety and perceived stress were measured using the Generalized Anxiety Disorder-7 (GAD-7) and 10-item Perceived Stress Scale (PSS-10), respectively.ResultsOverall, 44.5% (1,423/3,199) of teachers reported at least mild anxiety symptoms. Among them, 56.43%, 25.30% and 18.27% had mild, moderate, and severe anxiety, respectively. In the final logistic regression model, five variables remained independently associated with anxiety: education level (master’s degree or above: OR = 2.781, 95% CI: 1.858–4.163), income dissatisfaction (OR = 1.487, 95% CI: 1.205–1.834), intermediate professional title (OR = 1.372, 95% CI: 1.084–1.738), younger age (OR = 0.979, 95% CI: 0.966–0.993), and perceived stress (OR = 1.489, 95% CI: 1.443–1.538).ConclusionAnxiety was prevalent among primary school teachers during the implementation of the “Double Reduction” Policy. Higher education level, income dissatisfaction, intermediate professional title, younger age, and elevated perceived stress were significant risk factors for anxiety. Therefore, interventions focusing on stress management and occupational support may help improve teachers’ mental well-being.
Psychometric validation of the revised Chinese version of the Dimensional Anhedonia Rating Scale in psychiatric outpatients
ObjectiveTo refine the Chinese version of the Dimensional Anhedonia Rating Scale (DARS) and evaluate the psychometric properties of the Revised Chinese DARS (RC-DARS) in a large sample of first-visit psychiatric outpatients.MethodsThe study was conducted in two sequential phases at a specialized psychiatric hospital. In Phase I (n = 277), the existing Chinese DARS underwent semantic and cultural refinement in accordance with ISPOR and TRAPD guidelines, incorporating cognitive interviews and back-translation procedures. In Phase II (n = 788), the RC-DARS was administered alongside the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), Pittsburgh Sleep Quality Index (PSQI), and the MMPI Suicide Ideation Subscale (MMPI-SI). Exploratory and confirmatory factor analyses were conducted using common-factor extraction and the WLSMV estimator for ordinal indicators. Internal consistency, gender-based measurement invariance, and convergent validity were evaluated.ResultsExploratory analyses supported a four-factor domain structure. Confirmatory factor analysis demonstrated good model fit for the domain-based model (χ²/df = 3.81, CFI = 0.98, TLI = 0.97, RMSEA = 0.08, SRMR = 0.05), with substantially superior fit relative to an alternative reward-processing model. Internal consistency was excellent (Cronbach’s α = 0.95; McDonald’s ω = 0.96). Multi-group analyses supported configural, metric, and scalar invariance across gender (ΔCFI < 0.01). RC-DARS total scores were significantly negatively correlated with depressive symptoms (r = −0.443), anxiety (r = −0.317), sleep disturbance (r = −0.494), and suicide risk (r = −0.312) (all p <.001). Individuals with severe depressive symptoms exhibited significantly lower RC-DARS scores than those below the clinical threshold.ConclusionsThe RC-DARS demonstrates robust psychometric properties in a first-visit outpatient sample. The revision primarily enhances semantic precision and structural differentiation without materially altering score distributions. The scale may serve as a refined instrument for dimensional assessment of anhedonia in similar clinical contexts, pending longitudinal and multi-site validation.
Two faces of police stress: Spanish validation of operational and organizational PSQ scales
IntroductionPolice officers face multiple psychosocial risks stemming from operational and organizational aspects of their work. The Police Stress Questionnaire (PSQ) includes operational (PSQ-Op) and organizational (PSQ-Org) versions to assess these stressors. This study aimed to validate both versions in a sample of Mossos d’Esquadra, examining their factorial structure, reliability, and convergent and discriminant validity.MethodsExploratory and confirmatory factor analyses were conducted to examine the internal structure of the PSQ-Op and PSQ-Org. Internal consistency was evaluated using reliability indices. Convergent and discriminant validity were assessed through correlations with measures of anxiety, depression, and coping strategies.ResultsBoth PSQ-Op and PSQ-Org showed an essentially unidimensional structure, indicating that each scale measures a coherent latent construct. Operational and organizational stress remained distinct domains. Both scales exhibited high reliability and adequate psychometric properties. Subtle gender differences were noted in the perception of specific stressors.DiscussionThese findings support the validity and reliability of the PSQ-Op and PSQ-Org for assessing psychosocial risks among Spanish police officers. The scales can inform interventions targeting workplace stress prevention and the promotion of organizational well-being, emphasizing the need to address operational and organizational stressors separately.
Recording Stress Biomarkers in Autism Spectrum Disorders
Conditions: Autism Spectrum Disorder With Intellectual Deficiency
Sponsors: Universite Cote d’Azur
Recruiting
Sponsors: Universite Cote d’Azur
Recruiting
Brain Gene Variations Help Explain Neurological and Psychiatric Sex Differences
Thousands of genes are expressed differently in the brains of men and women, researchers have discovered.
The findings could help explain differences in neurodevelopmental, psychiatric, and neurodegenerative disorders between the sexes.
While men are more likely to experience schizophrenia, attention deficit hyperactivity disorder, and Parkinson’s disease, women are more prone to mood disorders and Alzheimer’s disease.
The U.S. study, in Science, is the first systemic single-cell survey of sex differences in gene expression across multiple regions of the human brain.
“Together, these findings provide a comprehensive map of molecular sex differences in the human brain and offer initial insight into their underlying mechanisms and potential functional consequences,” Alex DeCasien, PhD, from the National Institute of Mental Health in Bethesda, Maryland, told Inside Precision Medicine.
DeCasien and co-workers conducted a high-resolution analysis of gene expression in tissue samples from the brains of 15 men and 15 women using single-nucleus RNA sequencing.
They then used data from earlier large neuroimaging studies to select six cortical regions to sample, four of which showed sex-related differences in grey matter volume and two in which no such differences were found.
The team found subtle but widespread differences in gene activity between men and women. Biological sex explained very little of the variance in gene expression across the brain, at less than 1%, but differences were widespread—with more than 3000 genes showing different expression according to sex in at least one cortical region.
The greatest sex-related differences in gene expression were on the sex chromosomes. However, most of the genes showing sex-related variations in expression were autosomal—carried on one of the 22 numbered non-sex chromosomes.
The predominant driver for sex-biased expression of genes on these autosomal chromosomes were sex steroid hormones such as estrogen and testosterone.
Surprisingly, more than half the X chromosome genes in women were expressed in both alleles for at least one cell type. This indicated that many had escaped X chromosome inactivation—a female phenomenon in which one of the two X chromosomes is switched off early in development to stop women producing double the number of X-linked gene products to men.
“That finding has implications for understanding sex-biased disease susceptibility because several genes implicated in neurodevelopmental disorders reside on the X chromosome,” commented Jessica Tollkuhn, PhD, from Cold Spring Harbor Laboratory, and S Marc Breedlove, from Michigan State University, in an accompanying Perspective article.
They noted that autosomal genes showing sex-biased expression were substantially enriched for extracellular matrix components, hormone signaling pathways, and metabolic processes. “Genes with greater expression in women were enriched for mitochondrial and synaptic functions, whereas male-biased genes were associated with metabolic and structural pathways,” the editorialists added.
“By pinpointing these sexually differentiated processes, the data provide a treasure trove for the discovery of biomarkers of and/or therapeutic targets for differential disease risk in men and women.”
DeCasien and team added: “These findings raise the possibility that sex differences in gene expression modulate the magnitude of genetic effects at risk loci, contributing to differences in disease vulnerability and to reduced portability of polygenic risk prediction across sexes.”
The post Brain Gene Variations Help Explain Neurological and Psychiatric Sex Differences appeared first on Inside Precision Medicine.
<![CDATA[High-potency cannabis surges; psychiatry confronts psychosis risk, dependence, and data gaps—why clinicians must guide safer use now.]]>