Brain-computer interface (BCI) technology faces structural risks due to a misalignment between its technological maturity and industrialization expectations. This study used the Technology Readiness Level (TRL) framework to assess the status of major BCI paradigms-such as steady-state visual evoked potential (SSVEP), motor imagery, and P300-and found that they predominantly remained at TRL4 to TRL6, with few stable applications reaching TRL9. The analysis identified four interrelated sources of bubble risk: overly broad definitions of BCI, excessive focus on decoding performance, asynchronous translational progress, and imprecise terminology usage. These distortions have contributed to the misallocation of research resources and public misunderstanding. To foster the sustainable development of BCI, this paper advocated the establishment of a standardized TRL evaluation system, clearer terminological boundaries, stronger support for fundamental research, enhanced ethical oversight, and the implementation of inclusive and diversified governance mechanisms.
Brain-Computer Interfaces ; Humans ; Evoked Potentials, Visual ; Electroencephalography ; Event-Related Potentials, P300

Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.

Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.

Objectives:This study aimed to assess the efficacy and safety of bendamustine in combination with rituximab (BR regimen) for the treatment of newly diagnosed indolent B-cell non-Hodgkin's lymphoma (B-iNHL) and elderly mantle cell lymphoma (eMCL) .Methods:From December 1, 2020 to September 10, 2022, a multi-center prospective study was conducted across ten Grade A tertiary hospitals in Shandong Province, China. The BR regimen was administered to evaluate its efficacy and safety in newly diagnosed B-iNHL and eMCL patients, and all completed at least four cycles of induction therapy.Results:The 72 enrolled patients with B-iNHL or MCL were aged 24-74 years, with a median age of 55 years. Eastern Cooperative Oncology Group (ECOG) performance status scores of 0-1 were observed in 76.4% of patients, while 23.6% had scores of 2. Disease distribution included follicular lymphoma (FL) (51.4% ), marginal zone lymphoma (MZL) (33.3% ), eMCL (11.1% ), and the unknown subtype (4.2% ). According to the Ann Arbor staging system, 16.7% and 65.3% of patients were diagnosed with stage Ⅲ and stage Ⅳ lymphomas, respectively. Following four cycles of BR induction therapy, the overall response rate was 98.6%, with a complete response (CR) rate of 83.3% and a partial response (PR) rate of 15.3%. Only one eMCL patient experienced disease progression during treatment, and only one FL patient experienced a relapse. Even when evaluated using CT alone, the CR rate was 63.9%, considering the differences between PET/CT and CT assessments. The median follow-up duration was 11 months (range: 4-22), with a PFS rate of 96.8% and an OS rate of 100.0%. The main hematologic adverse reactions included grade 3-4 leukopenia (27.8%, with febrile neutropenia observed in 8.3% of patients), grade 3-4 lymphopenia (23.6% ), grade 3-4 anemia (5.6% ), and grade 3-4 thrombocytopenia (4.2% ). The main non-hematologic adverse reactions such as fatigue, nausea/vomiting, rash, and infections occurred in less than 20.0% of patients.Conclusion:Within the scope of this clinical trial conducted in China, the BR regimen demonstrated efficacy and safety in treating newly diagnosed B-iNHL and eMCL patients.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Malignant tumors usually have no obvious clinical symptoms in the early stage. Most patients are already in the advanced stage when they are diagnosed. Some patients have lost the opportunity for operation, resulting in poor prognosis. Therefore, how to find the best therapeutic target for such patients and improve the prognosis of patients has gradually become the focus of scholar′s attention. Recently, Kruppel-like factor (KLF) is a transcriptional regulator that can bind to the target DNA, and its family plays an important role in the occurrence and development of malignant tumors. It has also been confirmed that the KLF family affects the proliferation, differentiation and migration of tumor cells, but the specific mechanism is still not fully elucidate. Consequently, in order to further explored the effect of the KLF family on tumors, this study intends to briefly review the roles and regulatory mechanisms of the KLF family in the cell proliferation, differentiation and migration of malignant tumors, hoping to provide new target for the biological treatment of tumors.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to anxious symptoms in bipolar depression patients(BDP).Methods This was a secondary analysis of data from the Diagnostic Assessment Service for People with Bipolar Depression in China(DASP)from September 1,2010 to February 28,2011.According to the criterion that comorbid anxiety or not, BDP(n=306)were divided into comorbid anxiety group(n =200)(65.4％)and without anxiety group(n =106)(34.6％).Further analysis for risk factors of anxious symptoms in BDP was performed by the multivariate logistic regression analysis.Results BDP with anxiety were younger(35.10± 11.09), younger at illness onset(27.93-± 10.04), ruore male(t =4.603, P＜0.05), more lifetime episodes(3.21 ± 3.77), frequently episodes(t =17.328,P＜0.05),inducement onset(t=14.859,P＜0.05)and more seasonal episodes(t=8.300,P＜0.05)compared with BDP without anxiety.Logistic regression analysis showed that inducement onset(OR=5.023)and episodes frequency(OR=10.852)was significantly associated with anxious symptom(P＜0.05).Conclusion The finding indicates that postpartum onset and depressive episodes frequency may be risk factors of bipolar depression with anxiety.

Objective To explore the attempted suicide risk factors of socio-demographic and clinical charac-teristics in major depressive disorder patients with atypical features (e.g. increased appetite, weight gain and greater time spent sleeping). Methods This was a secondary analysis of the data from the Diagnostic Assessment Service for People with Bipolar Disorders in China (DASP), which was initiated by the Chinese Society of Psychiatry (CSP) and carried out in 13 major mental health centers in China. Totally 179 patients were diagnosed as atypical major depres-sive disorder patients in all 1172 major depressive disorder patients using Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-Ⅳ) by psychiatrists. Suicide attempters and nonattempters were grouped base on the interview results of suicidality module of the Mini International Neuro-psychiatric Interview (MINI). Multiple logistic regression were used to assess association between independent variables and attempted suicide in major depressive disorder patients with atypical features. Results The rater of attempted snicide was 23.5% (42/179) of atypical major depressive disorder patients reported prior or current attempted suicide. Compared to nonattempters, attempters had higher levels of suicidal ideation, postpartum depressive episodes, and the use of antipsychotic, mood stabilizers and benzodiazepines (P<0.05). Logistic regression analysis showed that number of admissions (OR=1.73, 95% CI: 1.093~2.740) and depressive episodes with suicidal ideation (OR=3.90, 95%CI: 1.506~10.092) were significantly associat-ed with attempted suicide in atypical unipolar depression patients (P<0.05). Conclusions High number of admissions and high levels of suicidal ideation may be considered as potential risk factors to identify atypical unipolar depression patients at risk for future suicidal behavior.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cide risk in misdiagnosed bipolar disorderⅡ(BPⅡ) treated for major depressive disorder. Methods A total of l478 con?secutive major depressive disorder patients were interviewed with the Mini International Neuropsychiatric Interview (MINI) in 13 major mental health centers in China. Of the 1478 patients, 190 patients were diagnosed BPⅡ, who were divided into two groups (nonsuicidal risk and suicidal risk) with the suicidality module of MINI. Logistic regression was performed to evaluate significant risk factors associated with suicide risk in misdiagnosed BPⅡtreated for major depres?sive disorder. Results Of the 190 patients, 116 were in the nonsuicidal risk group and 74 were in the suicidal risk group. In comparison to the nonsuicidal risk group, the suicidal risk group had younger age [(34.45 ± 11.18) vs.(37.23 ± 13.22), P=0.008], earlier age at onset [(26.20 ± 9.16) vs. (30.37 ± 11.59), P=0.007], and more suicidal ideation (82.4%vs. 53.4%, P=0.001). Logistic regression analysis showed that age (OR=0.969,95% CI:0.945~0.993) and depressive epi?sodes with suicidal ideation (OR=4.129,95%CI:2.030~8.397) were significantly associated with suicide risk in patients of misdiagnosed BPⅡtreated for major depressive disorder (P<0.05). Conclusions Younger age, severer suicidal ide?ation may be potential independent risk factors to suicide risk in BPⅡwith misdiagnosed with major depressive disor?der.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cidal attempt in major depressive disorder (MDD) patients with anxious characteristics. Methods Based on the anxious module of Mini International Neuropsychiatric Interview (MINI), a total of 728 anxious MDD patients from 13 major men?tal health centers in China were classified as suicidal and non-suicidal attempt groups. Further analyses regarding risk factors of suicidal attempt in anxious MDD patients were performed by the multivariate logistic regression analysis. Re?sults Among the 728 patients with anxious MDD analyzed, 135 (18.5%) of them had suicidal attempt and 593 (81.5%) had non-suicidal attempt. Compared to the non-suicidal attempt group, patients with suicidal attempt had significantly earlier age onset[(32.3 ± 11.9) vs. (35.3 ± 13.1)], more lifetime depression episodes (median:2 vs. 2), more number of ad?missions (median: 1 vs. 0), more frequent depressive episodes (14.8% vs. 7.4%), more atypical characteristics (25.9%vs.15.0%), more suicidal ideation (78.5%vs. 50.3%) and more antidepressant use (81.5%vs. 71.2%). Logistic regression analysis showed that number of admissions (OR=1.18, 95%CI:1.02~1.37), frequent depressive episodes (OR=2.10, 95%CI:1.14~3.68), depressive episodes with suicidal ideation (OR=3.55, 95%CI:2.28~5.54) were associated with suicidal at?tempt in MDD patients with anxious characteristics (P<0.05). Conclusions More number of admissions, more frequent depressive episodes, comorbid suicidal ideation may be risk factors of suicidal attempt in anxious MDD patients.