The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial navigation. This stereoelectroencephalography (SEEG) study investigated how the dorsolateral prefrontal cortex (DLPFC) interacts with the hippocampus in the online processing of sequential information. Twenty patients with epilepsy (eight women, age 27.6 ± 8.2 years) completed a line ordering task with SEEG recordings over the DLPFC and the hippocampus. Participants showed longer thinking times and more recall errors when asked to arrange random lines clockwise (random trials) than to maintain ordered lines (ordered trials) before recalling the orientation of a particular line. First, the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC (3-10 Hz). In particular, the hippocampal theta power increase correlated with the memory precision of line orientation. Second, theta phase coherences between the DLPFC and hippocampus were enhanced for ordering, especially for more precisely memorized lines. Third, the theta band DLPFC → hippocampus influence was selectively enhanced for ordering, especially for more precisely memorized lines. This study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.
Adult ; Female ; Humans ; Young Adult ; Epilepsy ; Hippocampus ; Memory, Short-Term ; Mental Recall ; Prefrontal Cortex ; Theta Rhythm ; Male

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

As a new quantitative analysis method of radiology image data, radiomics has been widely used in the diagnosis and treatment evaluation of various diseases especially malignant tumors, promoting the development of individualization and precision in disease diagnosis and treatment. In urolithiasis, radiomics is mainly used in the differential diagnosis of ureteral calculi, preoperative prediction of different calculus compositions, and prediction of efficacy of various treatment modalities. This paper introduced the basic workflow of radiomics, and reviewed its application progress in urolithiasis.

Objective:To observe the effects of electroacupuncture(EA)on sleep electroencephalogram(EEG)and event-related potential(ERP)in patients with somatoform disorders(SFD). Methods:Seventy-five SFD patients were recruited as an EA group to receive EA at Shenting(GV24)and Baihui(GV20)once daily,30 min each time,with 6 straight days as a treatment course,and 4 courses were conducted at 1-day intervals.Before treatment,patients underwent a survey using a physical symptom checklist on their primary symptoms.Before and after treatment,their sleep EEG was monitored using Quisi,and the ERP mismatch negativity(MMN)and P300 were detected.The Quisi sleep EEG and ERP were also examined among 40 normal volunteers as the normal group data. Results:During the trial,13 cases were removed from the EA group due to incomplete data,and 62 cases were finally included for statistical analyses.Of the 62 SFD patients,the main disturbing symptoms were cognitive impairments,sleep disorders,respiratory symptoms,digestive symptoms,five-sense organ problems,and cardiovascular symptoms in order.Before treatment,the EA group had increased MMN and P300 latencies and decreased amplitudes compared with the normal control group(P<0.01 or P<0.05);according to Quisi,the EA group also had reduced total sleep time(TST),shorter rapid eye movement sleep(REM)latency(RL)and REM time(RT),smaller number of REM period(NRP),extended sleep latency(SL),longer awaking time(AT),lower sleep efficiency(SE),larger percent of non-rapid eye movement sleep(NREM)stage 1(S1)and smaller percent of NREM stage 2(S2),and the percent of slow wave sleep(SWS),i.e.NREM stage 3(S3)plus stage 4(S4),also went down,all presenting significant differences between groups(P<0.01 or P<0.05).After 4 courses of treatment,the MMN and P300 latencies were reduced,and their amplitudes became larger in the EA group compared with the baseline(P<0.05);they had insignificant differences compared with the normal control group(P>0.05).Quisi showed that the TST and RL increased,and the SL and AT decreased in the EA group,and the predominant change in sleep architecture was reduced S1 percent,increased S2,and improved SE,all showing significant intra-group differences(P<0.01 or P<0.05);however,the intra-group difference in the NRP was statistically insignificant(P>0.05).Except the TST,RT,S1 percent,and SWS,there was no statistical significance in comparing the other Quisi parameters(including RL,NRP,SL,AT,SE,and S2 percent)between the two groups(P>0.05). Conclusion:SFD patients have a variety of clinical symptoms,and most of them show abnormal sleep EEG and ERP;EA can correct abnormal sleep EEG parameters and the MMN and P300 of ERP in SFD patients.

Objective To evaluate the application value of artificial intelligence mixed reality(AI-MR)technology in the planning of ultrasound-guided percutaneous nephrolithotomy(PCNL)for special types of complex upper urinary stones.Methods The prospective single-center,single-arm clinical study involved 15 patients with complex upper urinary stones undergoing ultrasound-guided PCNL during Aug.2022 and May 2023,including 9 male and 6 female,3 cases of pelvic ectopic kidney stones,5 cases of horseshoe kidney stones,3 cases of renal stones combined with spinal deformity,and 4 cases of transplant kidney stones.Based on preoperative computed tomography urography(CTU)data,digital three-dimensional reconstruction was performed,and AI-MR was used to project surgery-related three-dimensional images in real space to obtain"perspective"information of the surgical area.This facilitated preoperative design and planning,including target calyx,number of channels,and auxiliary measures.The compliance of target calyx and number of channels,stone clearance rate,total operation time,time required to establish the percutaneous renal channel,decrease in hemoglobin level,surgical complications,and postoperative hospital stay were analyzed.Results All 15 patients underwent preoperative planning using AI-MR and successfully completed one-stage ultrasound-guided PCNL.Based on the preoperative planning,we utilized S-PCNL alone or combined with Needle-perc or antegrade/retrograde FURS/RIRS.Among all patients,4 underwent single-channel S-PCNL,3 multi-channel S-PCNL,and 8 S-PCNL combined with Needle-perc or FURS.The compliance of target calyx and number of channels was 86.7％,the one-stage stone clearance rate was 80.0％,the average time for establishing the channel was(2.3±0.3)minutes,the average total operation time was(61.5±12.2)minutes,the mean decrease in hemoglobin level was(9.6±1.2)g/L,and the average postoperative hospital stay was(4.6±0.5)days.There were no Clavien-Dindo grade ≥ Ⅱ complications,such as blood transfusion,organ injury,or urosepsis.Conclusion Before surgery,AI-MR can be used to quantitatively analyze imaging data for patients with special types of complex upper urinary stones,which can achieve three-dimensional fluoroscopy effects,formulate surgical plans,optimize puncture paths,effectively avoid the risk of damage to surrounding organs,reduce complications,shorten treatment cycle and improve the first-stage stone clearance rate.

Background::Artificial intelligence (AI) technology represented by deep learning has made remarkable achievements in digital pathology, enhancing the accuracy and reliability of diagnosis and prognosis evaluation. The spatial distribution of CD3 + and CD8 + T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer (CRC). This study aimed to investigate CD3 CT (CD3 + T cells density in the core of the tumor [CT]) prognostic ability in patients with CRC by using AI technology. Methods::The study involved the enrollment of 492 patients from two distinct medical centers, with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation cohort. To facilitate tissue segmentation and T-cells quantification in whole-slide images (WSIs), a fully automated workflow based on deep learning was devised. Upon the completion of tissue segmentation and subsequent cell segmentation, a comprehensive analysis was conducted.Results::The evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3 CT and CD3-CD8 (the combination of CD3 + and CD8 + T cells density within the CT and invasive margin) in predicting mortality (C-index in training cohort: 0.65 vs. 0.64; validation cohort: 0.69 vs. 0.69). The CD3 CT was confirmed as an independent prognostic factor, with high CD3 CT density associated with increased overall survival (OS) in the training cohort (hazard ratio [HR] = 0.22, 95% confidence interval [CI]: 0.12–0.38, P <0.001) and validation cohort (HR = 0.21, 95% CI: 0.05–0.92, P = 0.037). Conclusions::We quantify the spatial distribution of CD3 + and CD8 + T cells within tissue regions in WSIs using AI technology. The CD3 CT confirmed as a stage-independent predictor for OS in CRC patients. Moreover, CD3 CT shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

Objective:To investigate the value of the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features in preoperatively predicting tumor deposits (TDs) in colorectal cancer.Methods:This study was a case-control study. A total of 126 patients with pathologically confirmed colorectal cancer who underwent preoperative spectral CT scan from January 2022 to March 2023 in the First Affiliated Hospital of Soochow University were enrolled retrospectively. Patients were divided into TDs-positive group ( n=38) and TDs-negative group ( n=88) based on pathological results. The following conventional CT features were assessed: cT stage, cN status, uniformity of enhancement in the venous phase, pericolorectal fat invasion (PFI), maximum tumor diameter, and tumor location. The following quantitative parameters were also measured and calculated: the normalized iodine concentration (NIC) of lesions, the normalized effective atomic number (NZ eff), and the slope of the 40-100 keV spectral curve (K) in the arterial and venous phases, and the difference in NIC between the arterial and venous phases. Multivariate logistic regression analysis was used to select independent predictors of TDs and the nomogram based on spectral CT quantitative parameters and conventional CT features was constructed. The receiver operating characteristic curve was performed to evaluate the diagnostic performance of each parameter and model. DeLong test was used to compare the differences of area under the curve (AUC). Results:Statistically significant differences were found between the TDs-positive and TDs-negative groups for the cT stage, cN status, uniformity of enhancement in the venous phase, PFI, NIC, NZ eff, K in the venous phase and the difference in NIC between the arterial and venous phases ( P<0.05). After multivariate logistic regression analysis, the conventional CT feature model incorporated two features: uniformity of enhancement in the venous phase (OR=9.602, 95% CI 3.728-24.734, P=0.001) and PFI ( OR=2.881, 95% CI 1.177-7.049, P=0.020). The combined model of conventional CT features and spectral CT quantitative parameters incorporated three features: the difference in NIC between the arterial and venous phases ( OR=37.599, 95% CI 8.320-169.912, P=0.001), uniformity of enhancement in the venous phase ( OR=14.978, 95% CI 3.848-58.295, P=0.001), and PFI ( OR=4.013, 95% CI 1.320-12.760, P=0.015), and the nomogram was constructed. The AUC, sensitivity, and specificity of the nomogram for predicting TDs were 0.919 (95% CI 0.865-0.973), 84.2%, and 86.5%, respectively. The AUC of the conventional CT feature model was 0.796 (95% CI 0.707-0.885), which was lower than that of the nomogram, and the difference was statistically significant ( Z=3.87, P=0.001). Conclusion:Dual-layer spectral detector CT can be used to predict TDs in colorectal cancer preoperatively, and the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features shows good diagnostic performance.

At the annual meeting of American Urological Association (AUA), the field of urinary stone involved many directions such as basic research, drug treatment, surgical intervention, and so on. The results of many expected large-scale multicenter randomized controlled clinical trials were also revealed at the congress. Image navigation technology, artificial intelligence, and machine learning algorithms were further applied in the field of stone diagnosis and treatment.

Objective:To retrospectively analyze and summarize the clinical experience and therapeutic effect of anterograde Needle-perc combined with RIRS, namely N+ R (Needle perc + RIRS) technique in the treatment of complex calyceal diverticular stone.Methods:Retrospective analysis of 23 cases of complex renal caliceal diverticulum stones admitted to our hospital from January 2020 to December 2022. The complex factors mainly include the invisible cervical orifice of diverticulum, large stone volume, and special anatomical location, which makes single RIRS or PCNL treatment difficult or unsuccessful. There were 14 males and 9 females with an average age of (42.3±6.1) years. Three cases were upper calyceal diverticular stone, average size was (0.9±0.2)cm. Nine patients had diverticular stone in the middle posterior calyx, and the average size was (1.2±0.3)cm. The average size of four diverticular stone was (1.8±0.2)cm in the anterior middle calyx. Seven patients had diverticular stone with an average size of (1.3±0.1)cm in lower calyx. Among them, 12 patients underwent RIRS which were difficult or stone undiscovered, and 3 patients underwent PCNL and the operation was terminated due to failure of channel establishment. In our center, oblique supine lithotomy position (male) or prone split-leg position (female) was adopted, and the combined treatment of Needle-perc and RIRS was performed. Needle-perc puncture was completed under the guidance of full ultrasound. During the operation, methylene blue reagent or mutual guidance of two endoscopes was used to find the diverticulum neck and expand the outlet with holmium laser incision. Depending on the size and location of the stones, a single Needle-perc laser lithotripsy combined with stone removal in flexible ureteroscope was used, or dual lasers were be used simultaneously for stone removal under double endoscopes. The first stage stone free rate, operation time, hemoglobin decrease, complications, postoperative hospital stay and other conditions were analyzed.Results:All the 23 operations were completed successfully. The stone free rate within 48 hours and one month after surgery was 78.2% and 100.0% respectively. The average operation time was (61.5±12.2)min. The mean postoperative hospital stay was (2.8±0.6) days. The mean decrease of hemoglobin was (3.6±0.4)g/L. Three patients had fever and one patient had renal subcapsular effusion. After anti-inflammatory and symptomatic treatment, the patient was discharged. There was no incidence of Clavien-Dindo≥Ⅱcomplications such as blood transfusion, abdominal organ injury or urosepsis.Conclusions:Treatment of complex renal caliceal diverticulum stones using N+ R technique of anterograde needle-perc combined with RIRS can effectively improve the success rate of first-stage surgery. Overall, it is safe, efficient and feasible with the advantages of high stone free rate, lower damage, and few postoperative complications.