Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 1.553
Filtrar
1.
Talanta ; 221: 121607, 2021 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-33076137

RESUMO

Drug-induced liver injury (DILI) has been a hot issue of public health, owing to its unpredictability and serious harm to public health. Peroxynitrite (ONOO-) is an important biomarker for the assessment and diagnosis of DILI. In this article, based on a kind of rhodamine analogue with a near-infrared (NIR) emission (610 nm-800 nm) and a two-photon absorption cross section (54 GM), a two-photon excited NIR fluorescence probe (NIR-ONOO) for ONOO- was developed. With a high selectivity and a high sensitivity to ONOO-, NIR-ONOO has a linear range for detection of ONOO- from 5.0 × 10-8 to 1.0 × 10-5 M, a good detection limit (15 nM) and a large fluorescence enhancement (340-fold). In addition, NIR-ONOO has been used to monitor ONOO- in cells with satisfactory results. Because of its two-photon excied NIR emission, NIR-ONOO also showed excellent performances for imaging ONOO- including low autofluorescence, stable and persistent fluorescence, and a deep penetration (204 µm). Finally, NIR-ONOO was successfully employed to image ONOO- in inflammatory mouse, drug-induced hepatotoxicity in cells and its remediation. All the results indicated that NIR-ONOO is a powerful chemical tool to image ONOO- and assay drug-induced hepatotoxicity.

2.
J Subst Abuse Treat ; 119: 108127, 2020 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-33138922

RESUMO

PURPOSE: Clinicians need a broad spectrum measurement of psychoactive substance craving (i.e., alcohol and/or drug) to assess collective treatment effects, especially in the context of polysubstance use. In three separate studies, we investigated the psychometric properties of an adapted version of the Penn Alcohol Craving Scale (PACS), designed to measure broad range substance craving. DESIGN: In Study One, we examined the latent factor structure for craving, as well as concurrent validity with measures of frequency and severity of substance use. In Study Two, we examined the short-term test-retest reliability. In Study Three, we examined the long-term sensitivity to treatment effects at 12 month postdischarge. SETTING: An inpatient SUD program in Guelph, Ontario, Canada. PARTICIPANTS: Adult patients receiving treatment for SUD: Study One, n = 971; Study Two, n = 35; Study Three, n = 191. MEASUREMENTS: We used an adapted version of the PACS, termed the Aggregated Drug Craving Scale (ADCS), and measures of substance use frequency, severity, and abstinence. FINDINGS: In Study One, confirmatory factor analysis supported the unidimensional structure of the craving scale (CFI: 0.994, RMSEA: 0.071, SRMR: 0.010). In addition, statistically significant, medium effect size associations provided evidence of concurrent validity with measures of substance use frequency and severity (CFI = 0.992; RMSEA = 0.054; SRMR = 0.015). In Study Two, the ADCS demonstrated good agreement over two time points (ICC = 0.82), exhibiting acceptable short-term retest reliability. In Study 3, the mean craving score decreased significantly from 19.6 at baseline to 7.5 at 12-month follow-up (t = -18.48, p < 0.001), demonstrating an ability to detect long-term sensitivity to treatment effects (Cohen's d = -1.54). CONCLUSIONS: Together, these findings provide initial support for a concise, broad-spectrum measure of aggregated drug cravings among an SUD treatment population.

3.
Brain ; 2020 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-33141145

RESUMO

Impaired oxygen and cellular metabolism is a hallmark of ischaemic injury in acute stroke. Magnetic resonance spectroscopic imaging (MRSI) has long been recognized as a potentially powerful tool for non-invasive metabolic imaging. Nonetheless, long acquisition time, poor spatial resolution, and narrow coverage have limited its clinical application. Here we investigated the feasibility and potential clinical utility of rapid, high spatial resolution, near whole-brain 3D metabolic imaging based on a novel MRSI technology. In an 8-min scan, we simultaneously obtained 3D maps of N-acetylaspartate and lactate at a nominal spatial resolution of 2.0 × 3.0 × 3.0 mm3 with near whole-brain coverage from a cohort of 18 patients with acute ischaemic stroke. Serial structural and perfusion MRI was used to define detailed spatial maps of tissue-level outcomes against which high-resolution metabolic changes were evaluated. Within hypoperfused tissue, the lactate signal was higher in areas that ultimately infarcted compared with those that recovered (P < 0.0001). Both lactate (P < 0.0001) and N-acetylaspartate (P < 0.001) differed between infarcted and other regions. Within the areas of diffusion-weighted abnormality, lactate was lower where recovery was observed compared with elsewhere (P < 0.001). This feasibility study supports further investigation of fast high-resolution MRSI in acute stroke.

4.
Artigo em Inglês | MEDLINE | ID: mdl-33201824

RESUMO

Currently, most of the high-performance models for frequency recognition of steady-state visual evoked potentials (SSVEPs) are linear. However, SSVEPs collected from different channels can have non-linear relationship among each other. Linearly combining electroencephalogram (EEG) from multiple channels is not the most accurate solution in SSVEPs classification. To further improve the performance of SSVEP-based braincomputer interface (BCI), we propose a convolutional neural network-based non-linear model, i.e. convolutional correlation analysis (Conv-CA). Different from pure deep learning models, Conv-CA use convolutional neural networks (CNNs) at the top of a self-defined correlation layer. The CNNs function on how to transform multiple channel EEGs into a single EEG signal. The correlation layer calculates the correlation coefficients between the transformed single EEG signal and reference signals. The CNNs provide non-linear operations to combine EEGs in different channels and different time. And the correlation layer constrains the fitting space of the deep learning model. A comparison study between the proposed Conv-CA method and the task-related component analysis (TRCA) based methods is conducted. Both methods are validated on a 40-class SSVEP benchmark dataset recorded from 35 subjects. The study verifies that the Conv-CA method significantly outperforms the TRCA-based methods. Moreover, Conv-CA has good explainability since its inputs of the correlation layer can be analyzed for visualizing what the model learnt from the data. Conv-CA is a non-linear extension of spatial filters. Its CNN structures can be further explored and tuned for reaching a better performance. The structure of combining neural networks and unsupervised features has the potential to be applied to the classification of other signals.

5.
Artigo em Inglês | MEDLINE | ID: mdl-33205941

RESUMO

Tumor cells are rich in antigens, which provide a reliable antigen library for the design of personalized vaccines. However, an effective tumor vaccine vector that can efficiently deliver antigens to lymphoid organs to stimulate strong CD8+ cytotoxic T-lymphocyte immune response is still lacking. Here we designed a dual-antigen delivery system based on hepatitis B virus core antigen virus-like particles (HBc VLPs). We first confirmed that different antigen-loaded HBc VLP monomers could be assembled into nanoparticles (hybrid VLPs). Hybrid VLPs could slightly enhance bone marrow-derived dendritic cell maturation in vitro. Strikingly, hybrid VLPs could generate antigen-specific antitumor immunity and innate immunity in vivo which could significantly inhibit tumor growth or metastatic formation in a subcutaneous tumor or lung metastatic tumor model, respectively. Moreover, dual-epitope vaccination generated enhanced T-cell responses that potently inhibited tumor growth and metastatic formation. Together, this study provides a new powerful concept for cancer immunotherapy and suggests a novel design for VLP-based personalized nanomedicine.

6.
Life Sci ; : 118638, 2020 Oct 24.
Artigo em Inglês | MEDLINE | ID: mdl-33164833

RESUMO

AIM: Prostate-specific G-protein coupled receptor (PSGR) in prostate cancer (Pca) are associated with poor overall survival. However, the effect of exosomal PSGR on PCa metastasis remains unknown. MAIN METHODS: The effect of exosome derived from PSGR-overexpressed PC3 cells (PC3 PSGR+ exosomes) on migration, invasion, epithelial-mesenchymal transition (EMT) and stemness of low invasive cells (LNCaP and RWPE-1) was assessed. Transcriptome sequencing was performed to identify differentially expressed (DE) mRNAs in low invasive cells incubated by PC3 PSGR+ exosomes or negative control (NC) exosomes. KEY FINDINGS: The PSGR was stably overexpressed in PC3 cells. The PC3 PSGR+ exosomes were internalized in LNCaP and RWPE-1cells, and significantly promoted cells migration and invasion. The expression of E-cadherin was decreased, and Vimentin, Snail, SOX2 and OCT4a was increased in low invasive cells after PC3 PSGR+ exosome incubation. Additionally, a total of 993 and 1170 DE mRNAs were respectively identified in LNCaP and RWPE-1 cells after PC3 PSGR+ exosome incubation, and 5 upregulated mRNAs and 11 down regulated mRNAs were shared. The DE mRNAs were predominantly implicated in "activation of Rho GTPase activity" and "response to zinc ion" in LNCaP cells, and "extracellular matrix organization" and "patterning of blood vessels" in RWPE-1 cells. The KEGG analysis showed the DE mRNAs were enriched in pathways associated with EMT such as "Adherens junction", "Cell adhesion molecules (CAMs)" and "Focal adhesion". SIGNIFICANCE: Exosomal PSGR promoted migration, invasion, stemness and epithelial-mesenchymal transitions, and reshaped the mRNAs profiling of LNCaP and RWPE-1 cells.

8.
J Phys Chem Lett ; : 9990-9994, 2020 Nov 12.
Artigo em Inglês | MEDLINE | ID: mdl-33179926

RESUMO

It is of great importance to study the mechanisms to activate dinitrogen (N2), the very inert molecule, under mild conditions. Gas-phase metal clusters are being actively generated to react with N2 to identify new reaction types and mechanisms. Herein, an unprecedented, mechanistically unique metal atom (Fe or V) ejection in the thermal reaction of FeV2C2- with N2 has been identified using mass spectrometry, photoelectron imaging spectroscopy, and quantum chemistry calculations. Strong evidence suggests that the complete cleavage of the N≡N triple bond and subsequent functionalization of two N atoms via C-N coupling were achieved in this reaction. The complementary cooperation between V atoms with strong electron-donating ability and an Fe atom with large electron-withdrawing ability as well as the geometric flexibility of the Fe-V-V ring drives the whole reaction. The important role of C ligands in N≡N cleavage was also revealed. This study emphasizes the importance of heteronuclear metal systems for N2 fixation.

9.
Adv Mater ; : e2005182, 2020 Nov 10.
Artigo em Inglês | MEDLINE | ID: mdl-33174311

RESUMO

Cycling LiCoO2 to above 4.5 V for higher capacity is enticing; however, hybrid O anion- and Co cation-redox (HACR) at high voltages facilitates intrinsic Oα - (α < 2) migration, causing oxygen loss, phase collapse, and electrolyte decomposition that severely degrade the battery cyclability. Hereby, commercial LiCoO2 particles are operando treated with selenium, a well-known anti-aging element to capture oxygen-radicals in the human body, showing an "anti-aging" effect in high-voltage battery cycling and successfully stopping the escape of oxygen from LiCoO2 even when the cathode is cycled to 4.62 V. Ab initio calculation and soft X-ray absorption spectroscopy analysis suggest that during deep charging, the precoated Se will initially substitute some mobile Oα - at the charged LiCoO2 surface, transplanting the pumped charges from Oα - and reducing it back to O2- to stabilize the oxygen lattice in prolonged cycling. As a result, the material retains 80% and 77% of its capacity after 450 and 550 cycles under 100 mA g-1 in 4.57 V pouch full-cells matched with a graphite anode and an ultralean electrolyte (2 g Ah-1 ).

10.
Sci Total Environ ; : 143349, 2020 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-33168255

RESUMO

Landslides induced by strong earthquakes often destroy large amounts of landscape vegetation which can trigger significant changes in runoff potential and flood flow. Little is known about hydrological behaviours imposed by co-seismic landslides and their post-earthquake evolution. Therefore, we collected time-series datasets (2007-2018) of underlying surface conditions (USC) changes including landslide expansion and recovery in a watershed affected by the Wenchuan earthquake to further quantify how the large physical disturbance affected the flood hydrological behaviours. The hydrological model HEC-HMS was calibrated and validated to predict the historical hydrological behaviours based on 5 min time-series data in rainfalls and streamflow (2018-2019), showing a good model performance with a mean Nash-Sutcliffe efficiency of 0.76. It was found that, shortly after the earthquake, the sharp expansion with 11% of landslide areas elevated the magnitudes of runoff potential, peak discharge, and runoff volume by >10%, and the peak to time for the high-magnitude flood was advanced by 25 min compared to the pre-earthquake levels. The tipping point along the hydrological disturbance-recovery trajectory was detected within 2011 with higher flood peaks and volumes, and the periods of 2011-2013 (i.e. 3-5 years post-earthquake) were deemed to be a rapid recovery period, revealing an unstable hydrological function. These findings are significant for clearly understanding the magnitude and timing, as well as greater risks of post-earthquake catastrophic flooding in earthquake-stricken regions. Additionally, the post-earthquake accompanied rainstorm-induced geohazards, which limited the recovery of landscape vegetation, triggering an undulant but clear recovery process (1-7 years post-earthquake) of hydrological behaviours. These findings promoted our understanding of the spatiotemporal evolution of hydrological behaviours triggered by the earthquake, and further contribute to the development of adaptation and mitigation strategies for the unpredictable flash floods triggered by future abrupt natural hazards in earthquake-affected regions.

11.
Comput Biol Med ; 127: 104077, 2020 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-33171291

RESUMO

Electrocardiography (ECG) is essential in many heart diseases. However, some ECGs are recorded by paper, which can be highly noisy. Digitizing the paper-based ECG records into a high-quality signal is critical for further analysis. We formulated the digitization problem as a segmentation problem and proposed a deep learning method to digitize highly noisy ECG scans. Our method extracts the ECG signal in an end-to-end manner and can handle different paper record layouts. In the experiment, our model clearly extracted the ECG waveform with a Dice coefficient of 0.85 and accurately measured the common ECG parameters with more than 0.90 Pearson's correlation. We showed that the end-to-end approach with deep learning can be powerful in ECG digitization. To the best of our knowledge, we provide the first approach to digitize the least informative noisy binary ECG scans and potentially be generalized to digitize various ECG records.

12.
Lipids Health Dis ; 19(1): 217, 2020 Oct 07.
Artigo em Inglês | MEDLINE | ID: mdl-33028331

RESUMO

BACKGROUND: This study explored the relationships between the low-/high-density lipoprotein cholesterol ratio (LDL-C/HDL-C) and other clinical indicators and ischaemic stroke (IS) in patients with non-valvular atrial fibrillation (NVAF) in Xinjiang. The findings could provide a theoretical and therapeutic basis for NVAF patients. METHODS: NVAF patients who were admitted to 10 medical centres across Xinjiang were divided into stroke (798 patients) and control (2671 patients) groups according to the occurrence of first acute IS. Univariate and multivariate logistic regression analysis were used to examine the independent risk factors for IS in NVAF patients. Factor analysis and principal component regression analysis were used to analyse the main factors influencing IS. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory ability of LDL-C/HDL-C for predicting the occurrence of IS. RESULTS: The stroke group had an average age of 71.64 ± 9.96 years and included 305 females (38.22%). The control group had a mean age of 67.30 ± 12.01 years and included 825 females (30.89%). Multivariate logistic regression showed that the risk of IS in the highest LDL-C/HDL-C quartile (≥2.73) was 16.23-fold that of the lowest quartile (< 1.22); IS risk was 2.27-fold higher in obese patients than in normal-weight subjects; IS risk was 3.15-fold higher in smoking patients than in non-smoking patients. The area under the ROC curve of LDL-C/HDL-C was 0.76, the optimal critical value was 2.33, the sensitivity was 63.53%, and the specificity was 76.34%. Principal component regression analysis showed that LDL-C/HDL-C, age, smoking, drinking, LDL-C and hypertension were risk factors for IS in NVAF patients. CONCLUSIONS: LDL-C/HDL-C > 1.22, smoking, BMI ≥24 kg/m2 and CHA2DS2-VASc score were independent risk factors for IS in NVAF patients; LDL-C/HDL-C was the main risk factor.

13.
Dis Markers ; 2020: 8847986, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33029258

RESUMO

Prostate cancer (PCa) is one of the most commonly diagnosed cancers in males worldwide. lncRNAs (long noncoding RNAs) play a significant role in the occurrence and development of PCa. eRNAs (enhancer RNAs) and SE-lncRNAs (superenhancer lncRNAs) are important elements of lncRNAs, but the role of eRNAs and SE-lncRNAs in PCa remains largely unclear. In this work, we identified 681 eRNAs and 292 SE-lncRNAs that were expressed differentially in PCa using a microarray. We also found that eRNAs transcribed from active open chromatin had significantly higher expression than those from active closed chromatin, and SE-lncRNAs had a little higher expression than eRNAs. Next, we constructed a transcriptional regulation network that eRNA-related enhancer and the target genes shared the same TF-binding motifs. Further, we investigated whether CTCF played a role in mediating the transcriptional regulation network. eRNAs, especially those that regulate androgen response genes, may be candidates for prognostic biomarkers and therapy targets. Our work provides a new perspective for developing medical treatments and therapies for prostate cancer.

14.
Phys Rev Lett ; 125(13): 136802, 2020 Sep 25.
Artigo em Inglês | MEDLINE | ID: mdl-33034492

RESUMO

Superconducting topological crystalline insulators (TCIs) have been proposed to be a new type of topological superconductor where multiple Majorana zero modes may coexist under the protection of lattice symmetries. The bulk superconductivity of TCIs has been realized, but it is quite challenging to detect the superconductivity of topological surface states inside their bulk superconducting gaps. Here, we report high-resolution scanning tunneling spectroscopy measurements on lateral Sn_{1-x}Pb_{x}Te-Pb heterostructures using superconducting tips. Both the bulk superconducting gap and the multiple in-gap states with energy differences of ∼0.3 meV can be clearly resolved on TCI Sn_{1-x}Pb_{x}Te at 0.38 K. Quasiparticle interference measurements further confirm the in-gap states are gapless. Our work demonstrates that the unique topological superconductivity of a TCI can be directly distinguished in the density of states, which helps to further investigate the multiple Dirac and Majorana fermions inside the superconducting gap.

15.
Artif Organs ; 2020 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-33001439

RESUMO

OBJECTIVE: This study aims to evaluate four pacemaker pocket cleaning methods for preventing implantation-related infections. METHODS: This single-center trial prospectively randomized 910 patients undergoing first-time pacemaker implantation or replacement into four pocket cleaning methods: hemocoagulase (group A, n=228), gentamicin (group B, n=228), hemocoagulase plus gentamicin (group C, n=227), and normal saline (group D, n=227). Before implanting the pacemaker battery, the pockets were cleaned with gauze presoaked in the respective cleaning solutions. Then, these patients were followed-up to monitor the occurrence of infections for one month after implantation. RESULTS: Twelve implantation-related infections occurred in 910 patients (1.32%): four patients from group A (1.75%), three patients from group B (1.32%), two patients from group C (0.88%), and three patients from group D (1.32%) (P>0.05). Furthermore, two patients developed bloodstream infections (0.22%), and both of these patients were associated with pocket infection (one patient was from group A, while the other patient was from group C, respectively). No cases of infective endocarditis occurred. The differences in the number of infections in these study groups were not statistically significant. CONCLUSION: The application of hemocoagulase, gentamicin, hemocoagulase plus gentamicin, or normal saline on the presoaked gauze before implantation was equally effective in preventing pocket-associated infections.

16.
Curr Microbiol ; 2020 Oct 16.
Artigo em Inglês | MEDLINE | ID: mdl-33067706

RESUMO

In-feed antibiotics can influence intestinal microbial structures in born and early-life within a period. However, the impact of antibiotics on gut microbiota during long-term antibiotic-free and antibiotic breeding at porcine-fattening phase have not been studied extensively so far. Here, we conducted a systematic 16S rRNA gene sequencing-based study combined with metagenomic analysis to reveal the variation of diversity and function of gut microbiota between antibiotic-free (treatment group, TG) and antibiotic (a mixture of flavomycin and enramycin, control group, CG) breeding at various stages of fattening pigs. In the present study, Bacteroidetes, Firmicutes, and Proteobacteria phyla were the core microbiomes in fattening pig gut microbiota. The ratio between Firmicutes and Bacteroidetes significantly increased with age (P = 0.03). TG showed significantly higher relative abundance of Proteobacteria and Fibrobacteres phyla than CG. The microbial community can be divided into several notably clustered blocks based on cooperative and competitive correlations. These blocks centered on numerous special genera, which play essential roles in body development and disease prevention. TG showed obviously higher proportions of metabolic pathways related to metabolism, endocrine system, nervous system and excretory system, but pathways included carbohydrate metabolism and immune system diseases in CG. Collectively, this study has comprehensively demonstrated microbial diversities, differences and correlations among gut microbiota, microbial metabolism and gene functions during long-term antibiotic-free breeding. This work provides a novel resource and information with positive implications for pig husbandry production and disease prevention.

17.
Curr Obes Rep ; 2020 Oct 17.
Artigo em Inglês | MEDLINE | ID: mdl-33068259

RESUMO

PURPOSE OF REVIEW: This study systematically identified and synthesized empirical data-driven modeling studies that projected the future influence of global warming on people's physical activity patterns. RECENT FINDINGS: A total of ten studies met the eligibility criteria and were included in the review. Global warming, in general, was predicted to be associated with a net increase in active commuting and leisure-time physical activity. However, the specific relationship between climate change and future physical activity patterns was expected to vary by the periods of prediction, geographical locations, population subgroups, and seasons. Moreover, the positive association between global warming and physical activity could level off or be reversed once reaching a temperature threshold. Preliminary evidence suggested a net increase in physical activity by mid- to late-twenty-first century owing to global warming. Future studies should refine the projections by taking into account the indirect effect of global warming through induced natural and human events, and assess effective countermeasures to mitigate the negative impact of global warming on vulnerable population subgroups.

18.
BMC Cancer ; 20(1): 1005, 2020 Oct 15.
Artigo em Inglês | MEDLINE | ID: mdl-33059605

RESUMO

BACKGROUND: An increasing number of studies have reported circular RNAs (circRNAs) as new potential biomarkers for the prognosis of gliomas. However, the overall prognostic value of circRNAs for glioma remains unclear. Therefore, this study is the first comprehensive evaluation of the clinicopathological and prognostic value of dysregulated circRNAs in the treatment of glioma patients. METHODS: We systematically reviewed the online databases of PubMed, Web of Science, EMBASE, and Cochrane Library to identify studies that explored the relationship between circRNA expression and clinicopathological and prognostic factors in glioma through April 11, 2020. The quality of the included studies was evaluated by the Newcastle-Ottawa Scale (NOS) checklists. Clinicopathological features were assessed by pooled odds ratios (ORs) and 95% confidence intervals (CIs), and overall survival (OS) was assessed by hazard ratios (HRs) and 95% CIs. RESULTS: Twenty-four eligible studies, including 22 studies of clinicopathological features, 1 diagnostic study, and 18 studies of prognosis, that included a total of 1390 patients were ultimately included in this study. Meta-analysis showed that highly expressed oncogenic circRNAs were significantly related to poor clinicopathological features (age: P = 0.026; tumor size: P ≤ 0.001; tumor grade: P ≤ 0.001; KPS: P = 0.012) and worse overall survival (OS) (HR = 2.01, 95% CI: 1.61-2.50, P ≤ 0.001). Moreover, we found that highly expressed tumor-suppressor circRNAs were related to better clinicopathological features (gender: P = 0.042; age: P = 0.014; tumor size: P = 0.022; tumor grade: P ≤ 0.001) and longer OS (HR = 2.70, 95% CI: 1.82-3.99, P ≤ 0.001). CONCLUSIONS: In conclusion, there is a significant correlation between the dysregulated expression of circRNAs and the clinicopathology and prognosis of glioma patients.

19.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1734-1737, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018332

RESUMO

Modular functional alterations were shown in obsessive-compulsive disorder (OCD) patients from previous functional magnetic resonance imaging (fMRI) studies. However, most studies considered each module as a specific node and ignore the intramodular connectivity information. In this paper, we investigated the intramodular functional connectivity (FC) alterations in drug naïve OCD patients using a whole brain graph theoretical approach for functional modular parcellation. Seventy-three drug-naïve OCD patients and seventy-eight matched healthy controls were included in this study. We utilized infomap algorithm for modules detection. The functional connectivity strength (FCS) was calculated within each module to obtain the FC between a given voxel and all other voxels in the module. We found increased FCS in precentral and postcentral gyrus within sensor-motor network (SMN) and decreased FCS in insula within salience network (SN). Moreover, FC within SMN was negatively correlated with YBOCS- compulsions scores, while FC within SN was negatively correlated with YBOCS-total, compulsions and obsessions scores. Our findings brought useful insights in understanding the pathophysiology of OCD.


Assuntos
Transtorno Obsessivo-Compulsivo , Encéfalo/diagnóstico por imagem , Mapeamento Encefálico , Córtex Cerebral , Humanos , Imagem por Ressonância Magnética , Transtorno Obsessivo-Compulsivo/diagnóstico por imagem
20.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1738-1741, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018333

RESUMO

Ventromedial prefrontal cortex (vmPFC) is an important brain region involved in many psychological functions. Previous neuroimaging studies have shown disrupted function and altered metabolic level within vmPFC of schizophrenia (SCZ) patients. However, the linkage between the functional connectivity and its underlying neurobiological mechanism in SCZ remains unclear. In this study, we aimed to investigate the altered relationship between the functional connectivity strength (FCS) and metabolic concentrations within vmPFC in drug-naïve first-episode psychosis (FEP) patients using a combined functional magnetic resonance imaging (fMRI) and single-voxel proton magnetic resonance spectroscopy (1H- MRS) technique. There were 26 drug-naïve FEP patients and 27 matched healthy controls participated this study. We have found altered correlation between FCS and N-acetylaspartate (NAA) in drug-naïve FEP patients. In addition, the glutamate and glutamine compounds (Glx) and NAA concentrations were positively correlated with Positive and Negative Symptoms Scale (PANSS) total scores. Our findings revealed the disrupted functional-metabolic coupling within vmPFC in drug-naïve FEP patients and provided useful insights in understanding the etiology of SCZ.


Assuntos
Ácido Aspártico , Psicoses Induzidas por Substâncias , Ácido Aspártico/análogos & derivados , Ácido Glutâmico , Humanos , Córtex Pré-Frontal/diagnóstico por imagem
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA