Neuropsychobiology最新文献

Introduction: This study examined the efficacy of an 8-week occupational therapy program incorporating mindfulness (MOT) as a form of psychiatric rehabilitation to ameliorate residual social and occupational impairment in patients with anxiety disorders and depression. The objective was to evaluate the effects of MOT on their personal well-being and to assess the impact of MOT on brain function using quantitative electroencephalography (qEEG).

Methods: This study was a randomized, wait-list control trial with assessments performed at baseline, post-intervention (9 weeks), and follow-up (18 weeks) in outpatients with anxiety disorders and depression. The MOT was conducted in small groups, comprising eight weekly 1.5-h sessions. The primary outcome was the mean score change between the pre- and post-interventions with Questionnaire about the Process of Recovery (QPR) scale. Other clinical assessments and qEEG served as secondary and biological outcomes, respectively.

Results: A total of 25 patients (mean age: 44.1) were included in the analysis. The MOT group demonstrated a significantly improved QPR compared to the control group after adjusting for baseline covariates (p < 0.01). This improvement was sustained for 9 weeks after the 8-week intervention. In the qEEG analysis, a significant increase in current source density in the β2 band of the left dorsolateral prefrontal cortex was observed in the MOT group compared to the control group (p < 0.02).

Conclusion: This study demonstrates that MOT improves subjective well-being and potentially, global function. This suggests that MOT may serve as a viable option for those whose symptoms have abated but who still struggle with social and occupational functioning.

Introduction: Progesterone receptor component 1 (PGRMC1) has been identified as a potential target in atypical antipsychotic drug-induced metabolic disturbances as well as neuroprotection in the central nervous system. In our study, we aimed to figure out the essential role of PGRMC1 signaling pathway underlying clozapine-induced cognitive impairment.

Methods: In male SD rats, we utilized recombinant adeno-associated viruses (BBB 2.0) and the specific inhibitor of PGRMC1 (AG205) to regulate the expression of PGRMC1 in the brain, with a special focus on the hippocampus. Treatments of clozapine and AG205 were conducted for 28 days, and subsequent behavioral tests including modified elevated plus maze and Morris water maze were conducted to evaluate the cognitive performance. Hippocampal protein expressions were measured by Western blotting.

Results: Our study showed that long-term clozapine administration led to cognitive impairment as confirmed by behavioral tests as well as histopathological examination in the hippocampus. Clozapine inhibited neural survival through the PGRMC1/EGFR/GLP1R-PI3K-Akt signaling pathway, leading to a decrease in the downstream survival factor, brain-derived neurotrophic factor (BDNF), and simultaneously promoted neural apoptosis in the rat hippocampus. Intriguingly, by targeting at the hippocampal PGRMC1, we found that inhibiting PGRMC1 mimics, while its upregulation notably mitigates clozapine-induced cognitive impairment through PGRMC1 and its downstream signaling pathways.

Conclusion: PGRMC1-overexpression could protect hippocampus-dependent cognitive impairment induced by clozapine. This effect appears to arise, in part, from the upregulated expression of PGRMC1/EGFR/GLP1R and the activation of downstream PI3K-Akt-BDNF and caspase-3 signaling pathways.

Introduction: High rostral anterior cingulate cortex (rACC) activity is proposed as a nonspecific prognostic marker for treatment response in major depressive disorder, independent of treatment modality. However, other studies report a negative association between baseline high rACC activation and treatment response. Interestingly, these contradictory findings were also found when focusing on oscillatory markers, specifically rACC-theta power. An explanation could be that rACC-theta activity dynamically changes according to number of previous treatment attempts and thus is mediated by level of treatment-resistance.

Methods: Primarily, we analyzed differences in rACC- and frontal-theta activity in large national cross-sectional samples representing various levels of treatment-resistance and resistance to multimodal treatments in depressed patients (psychotherapy [n = 175], antidepressant medication [AD; n = 106], repetitive transcranial magnetic stimulation [rTMS; n = 196], and electroconvulsive therapy [ECT; n = 41]), and the respective difference between remitters and non-remitters. For exploratory purposes, we also investigated other frequency bands (delta, alpha, beta, gamma).

Results: rACC-theta activity was higher (p < 0.001) in the more resistant rTMS and ECT patients relative to the less resistant psychotherapy and AD patients (psychotherapy-rTMS: d = 0.315; AD-rTMS: d = 0.320; psychotherapy-ECT: d = 1.031; AD-ECT: d = 1.034), with no difference between psychotherapy and AD patients. This association was even more pronounced after controlling for frontal-theta. Post hoc analyses also yielded effects for delta, beta, and gamma bands.

Conclusion: Our findings suggest that by factoring in degree of treatment-resistance during interpretation of the rACC-theta biomarker, its usefulness in treatment selection and prognosis could potentially be improved substantially in future real-world practice. Future research should however also investigate specificity of the theta band.

Background: Alcohol-associated alterations of the dopaminergic (DA) system have been investigated via functional single-photon emission tomography (SPECT) positron emission tomography (PET) and imaging methods over many years, investigating presynaptic or postsynaptic markers, such as DA receptor and DA transporter availability, both with and without challenge. This review summarizes SPECT and PET studies on different levels of alcohol consumption to support the dimensional view of alcohol use disorder (AUD), ranging from acute consumption in social drinkers, individuals at high risk to patients with severe AUD and their association with blunted DA neurotransmission. Additionally, confounding factors of PET and SPECT studies of the DA system were discussed.

Summary: The included studies provided strong evidence that acute alcohol administration in social drinkers is followed by a DA release, particularly in the ventral striatum. In participants with AUD, DA release appears to be impaired as administration of a psychostimulant is followed by a blunted striatal DA. Furthermore, in recently detoxified participants with AUD, in vivo dopamine D2 and D3 receptor availability appears to be reduced, which may be a predisposing factor or the result of a neuroadaptive process influencing drug-induced DA release. DA transporter availability is reduced in AUD, whereas findings with respect to DA synthesis capacity are controversial.

Key messages: The DA system seems to be differently impaired during the development and persistence of AUD. In total, challenge studies (acute alcohol or psychostimulant administration) seem to be more consistent in their findings and might be less prone to the effects of confounders. Long-term studies with larger samples are required to better evaluate the alterations during chronic consumption and prolonged abstinence.

Introduction: Changes in the DNA methylation of 5-HTTLPR are associated with the pathophysiology of panic disorder (PD). This study was conducted to investigate the association between stressful life events and the level of 5-HTTLPR methylation in patients with PD. We also examined whether these factors were associated with white matter alterations in psychological trauma-related regions.

Methods: The participants comprised 232 patients with PD and 93 healthy adults of Korean descent. DNA methylation levels of five cytosine-phosphate-guanine (CpG) sites in the 5-HTTLPR region were analyzed. Voxel-wise statistical analysis of diffusion tensor imaging data was performed within the trauma-related regions.

Results: PD patients showed significantly lower levels of the DNA methylation at 5-HTTLPR 5 CpG sites than healthy controls. In patients with PD, the DNA methylation levels at 5-HTTLPR 5 CpG sites showed significant negative association with the parental separation-related psychological distress, and positive correlations with the fractional anisotropy values of the superior longitudinal fasciculus (SLF) which might be related to trait anxiety.

Conclusion: Early life stress was significantly associated with DNA methylation levels at 5-HTTLPR related to the decreased white matter integrity in the SLF region in PD. Decreased white matter connectivity in the SLF might be related to trait anxiety and is vital to the pathophysiology of PD.

Introduction: Clozapine-induced sialorrhea (CIS) is one of the most common side effects of clozapine use, while the mechanism remains unclear.

Methods: A total of 51 schizophrenia patients taking clozapine were selected. Among them, 32 had sialorrhea, and 19 had no sialorrhea. Saliva metabolites were identified using ultra-high-performance liquid chromatography-MS/MS (UHPLC-MS/MS), and the differences in saliva metabolites in each group were analyzed through qualitatively searching HMDB, KEGG, and self-built databases, combined with multivariate statistics. After further evaluation by receiver-operating characteristic curve (ROC) analysis, the screened differential metabolites were enriched and topologically analyzed.

Results: The biomarkers potentially related to CIS included 37 differential metabolites involving 17 metabolic pathways, mainly histidine metabolism (p < 0.05, impact = 0.50), pyrimidine metabolism (p < 0.05, impact = 0.08), and β-alanine metabolism (p < 0.05, impact = 0.06).

Conclusion: Our study indicates that histidine metabolic pathway may contribute to the mechanism of CIS.

Introduction: Somatic symptoms often occur as a manifestation of depression and anxiety. The subgenual anterior cingulate cortex (sgACC) has been shown to be closely related to both depression and anxiety and plays an important role in somatic symptoms. However, little is known regarding whether the abnormal function of the sgACC contributes to the common somatic symptoms of depression and anxiety.

Methods: Resting-state functional connectivity (RSFC) analysis based on the seed of the sgACC was investigated in 23 major depressive disorder (MDD) patients with somatic symptoms, 20 generalized anxiety disorder (GAD) patients with somatic symptoms, and 22 demographically matched healthy controls (HCs). The severity of depression, anxiety, and somatic symptoms was assessed using the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), and the 15-item somatic symptom severity scale from the Patient Health Questionnaire (PHQ-15), respectively. An analysis of covariance analysis (ANCOVA) was conducted to determine RSFC alterations among GAD, MDD, and HC groups with age, gender, and head motion as covariates. Correlation analyses were conducted between the RSFC of the sgACC and PHQ-15.

Results: The significantly different RSFC of right sgACC among the three groups was found in right STG, left cerebellum, and right postcentral. Post hoc analysis indicated that both MDD and GAD patients showed a decreased RSFC between the right sgACC and right STG than HCs, and both were negatively correlated with the PHQ-15 scores.

Conclusion: The abnormally decreased RSFC of the sgACC and STG may be the underlying common mechanisms of depression and anxiety combined with somatic symptoms.

Introduction: Depression is the most significant contributor to non-fatal health reductions worldwide. Acupuncture is the most commonly used complementary alternative therapy to relieve major depressive disorder (MDD) effectively. Nevertheless, the effects of acupuncture for MDD are uncertain. This review aimed to determine the efficacy and safety of acupuncture for MDD.

Methods: Meta-analysis was performed for randomized controlled trials of acupuncture for MDD data from eight databases searched from inception until February 10, 2022. All RCTs with adult participants undergoing acupuncture treatment for MDD were included. The primary outcome measure was the Hamilton rating scale for depression (HAMD). We used random-effects meta-analysis to synthesize the results with a mean difference or odds ratio. Furthermore, the potential heterogeneity was tested through meta-regression/subgroup analyses/sensitive analysis. The quality of evidence for each outcome was assessed by the Grading of Recommendations Assessment, Development, and Evaluation approach.

Results: Forty-three studies were included: 9 acupuncture versus sham acupuncture (n = 920), 26 acupuncture versus antidepressants (n = 2169), and 9 acupuncture plus antidepressants versus antidepressants (n = 667). Of the 43 high-quality articles, 24 and 8 were determined to have a low and moderate risk of bias, respectively. The pooled results for HAMD and SDS revealed the clinical benefits of acupuncture or acupuncture plus antidepressants compared to sham acupuncture or antidepressants, with high-quality evidence. Furthermore, high-quality evidence showed that acupuncture led to fewer adverse effects than antidepressants.

Conclusions: Acupuncture or acupuncture plus antidepressants were significantly associated with reduced HAMD scores, with high-quality evidence. Also, more rigorous trials are needed to identify the optimal frequency of acupuncture for MDD and integrate such evidence into clinical care to reduce antidepressant use.

Introduction: It is critical to develop accurate and universally available biomarkers for dementia diseases to appropriately deal with the dementia problems under world-wide rapid increasing of patients with dementia. In this sense, electroencephalography (EEG) has been utilized as a promising examination to screen and assist in diagnosing dementia, with advantages of sensitiveness to neural functions, inexpensiveness, and high availability. Moreover, the algorithm-based deep learning can expand EEG applicability, yielding accurate and automatic classification easily applied even in general hospitals without any research specialist.

Methods: We utilized a novel deep neural network, with which high accuracy of discrimination was archived in neurological disorders in the previous study. Based on this network, we analyzed EEG data of healthy volunteers (HVs, N = 55), patients with Alzheimer's disease (AD, N = 101), dementia with Lewy bodies (DLB, N = 75), and idiopathic normal pressure hydrocephalus (iNPH, N = 60) to evaluate the discriminative accuracy of these diseases.

Results: High discriminative accuracies were archived between HV and patients with dementia, yielding 81.7% (vs. AD), 93.9% (vs. DLB), 93.1% (vs. iNPH), and 87.7% (vs. AD, DLB, and iNPH).

Conclusion: This study revealed that the EEG data of patients with dementia were successfully discriminated from HVs based on a novel deep learning algorithm, which could be useful for automatic screening and assisting diagnosis of dementia diseases.

Introduction: Elevated levels of the hypothalamic-pituitary-adrenal axis hormone cortisol are a frequently replicated finding in major depressive disorder (MDD). However, the current state of research is inconclusive as to whether hypercortisolism represents a trait- or state-like biological signal of MDD. The aim of the present study was to investigate, for the first time, whether cortisol in fingernails, a highly accessible tissue, could distinguish currently remitted individuals with MDD from healthy controls. A further aim was to identify potential confounders of nail cortisol.

Methods: A total of N = 100 individuals from the general population were recruited. A structured clinical interview was administered, which resulted in two groups: n = 48 with lifetime MDD and n = 52 healthy controls. All participants answered questions on sociodemographic, lifestyle, and psychosocial characteristics. They also grew their nails for 14 days and cut them for the subsequent determination of cortisol.

Results: The groups differed in their nail cortisol concentrations, such that the individuals with lifetime MDD had significantly higher concentrations than the healthy controls (p = 0.041). Within the group of individuals with lifetime MDD, the number of experienced episodes was significantly correlated with cortisol (p = 0.011). Income emerged as the only significant confounder of cortisol (p = 0.008).

Conclusion: Elevated fingernail cortisol appears to be a biological signal of MDD, even in the absence of a current major depressive episode. Its high accessibility and robustness render it a promising methodology for remote research as well as for the integration of biomarkers into clinical research and practice.