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Article: Predicting the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla: A model-informed approach.

Zhong, Xiaole Z / Polimeni, Jonathan R / Chen, J Jean

bioRxiv : the preprint server for biology

2024

Abstract: Macrovascular biases have been a long-standing challenge for fMRI, limiting its ability to detect spatially specific neural activity. Recent experimental studies, including our own (Huck et al., 2023; Zhong et al., 2023), found substantial resting-state ... ...

Abstract	Macrovascular biases have been a long-standing challenge for fMRI, limiting its ability to detect spatially specific neural activity. Recent experimental studies, including our own (Huck et al., 2023; Zhong et al., 2023), found substantial resting-state macrovascular BOLD fMRI contributions from large veins and arteries, extending into the perivascular tissue at 3 T and 7 T. The objective of this study is to demonstrate the feasibility of predicting, using a biophysical model, the experimental resting-state BOLD fluctuation amplitude (RSFA) and associated functional connectivity (FC) values at 3 Tesla. We investigated the feasibility of both 2D and 3D infinite-cylinder models as well as macrovascular anatomical networks (mVANs) derived from angiograms. Our results demonstrate that: 1) with the availability of mVANs, it is feasible to model macrovascular BOLD FC using both the mVAN-based model and 3D infinite-cylinder models, though the former performed better; 2) biophysical modelling can accurately predict the BOLD pairwise correlation near to large veins (with R
Language	English
Publishing date	2024-02-16
Publishing country	United States
Document type	Preprint
DOI	10.1101/2024.02.13.580143
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Generating dynamic carbon-dioxide traces from respiration-belt recordings: Feasibility using neural networks and application in functional magnetic resonance imaging.

Agrawal, Vismay / Zhong, Xiaole Z / Chen, J Jean

Frontiers in neuroimaging

2023 Volume 2, Page(s) 1119539

Abstract: Introduction: In the context of functional magnetic resonance imaging (fMRI), carbon dioxide (CO: Methods: In this proof-of-concept study, we propose a deep-learning (DL) approach to reconstruct CO2 and PETCO2 data from respiration waveforms in the ... ...

Abstract	Introduction: In the context of functional magnetic resonance imaging (fMRI), carbon dioxide (CO Methods: In this proof-of-concept study, we propose a deep-learning (DL) approach to reconstruct CO2 and PETCO2 data from respiration waveforms in the resting state. Results: We demonstrate that the one-to-one mapping between respiration and CO Discussion: Our results demonstrate that dynamic CO
Language	English
Publishing date	2023-02-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	3123824-5
ISSN	2813-1193 ; 2813-1193
ISSN (online)	2813-1193
ISSN	2813-1193
DOI	10.3389/fnimg.2023.1119539
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Unleashing the power of AI in detecting metal surface defects: an optimized YOLOv7-tiny model approach.

Chen, Shuaiting / Zhou, Feng / Gao, Gan / Ge, Xiaole / Wang, Rugang

PeerJ. Computer science

2024 Volume 10, Page(s) e1727

Abstract: The detection of surface defects on metal products during the production process is crucial for ensuring high-quality products. These defects also lead to significant losses in the high-tech industry. To address the issues of slow detection speed and low ...

Abstract	The detection of surface defects on metal products during the production process is crucial for ensuring high-quality products. These defects also lead to significant losses in the high-tech industry. To address the issues of slow detection speed and low accuracy in traditional metal surface defect detection, an improved algorithm based on the YOLOv7-tiny model is proposed. Firstly, to enhance the feature extraction and fusion capabilities of the model, the depth aware convolution module (DAC) is introduced to replace all ELAN-T modules in the network. Secondly, the AWFP-Add module is added after the Concat module in the network's Head section to strengthen the network's ability to adaptively distinguish the importance of different features. Finally, in order to expedite model convergence and alleviate the problem of imbalanced positive and negative samples in the study, a new loss function called Focal-SIoU is used to replace the original model's CIoU loss function. To validate the effectiveness of the proposed model, two industrial metal surface defect datasets, GC10-DET and NEU-DET, were employed in our experiments. Experimental results demonstrate that the improved algorithm achieved detection frame rates exceeding 100 fps on both datasets. Furthermore, the enhanced model achieved an mAP of 81% on the GC10-DET dataset and 80.1% on the NEU-DET dataset. Compared to the original YOLOv7-tiny algorithm, this represents an increase in mAP of nearly 11% and 9.2%, respectively. Moreover, when compared to other novel algorithms, our improved model demonstrated enhanced detection accuracy and significantly improved detection speed. These results collectively indicate that our proposed enhanced model effectively fulfills the industry's demand for rapid and efficient detection and recognition of metal surface defects.
Language	English
Publishing date	2024-01-22
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1727
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Resting-state functional magnetic resonance imaging signal variations in aging: The role of neural activity.

Zhong, Xiaole Z / Chen, J Jean

Human brain mapping

2022 Volume 43, Issue 9, Page(s) 2880–2897

Abstract: Resting-state functional magnetic resonance imaging (rs-fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs-fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age ... ...

Abstract	Resting-state functional magnetic resonance imaging (rs-fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs-fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age effects and age-sex interaction remain unclear. In this study, we examined the effects of age and sex on the rs-fMRI signal frequency using the Leipzig mind-brain-body data set. Over a frequency band of up to 0.3 Hz, we found that the rs-fMRI fluctuation frequency is higher in the older adults, although the fluctuation amplitude is lower. The rs-fMRI signal frequency is also higher in men than in women. Both age and sex effects on fMRI frequency vary with the frequency band examined but are not found in the frequency of physiological-noise components. This higher rs-fMRI frequency in older adults is not mediated by the electroencephalograph (EEG)-frequency increase but a likely link between fMRI signal frequency and EEG entropy, which vary with age and sex. Additionally, in different rs-fMRI frequency bands, the fMRI-EEG amplitude ratio is higher in young adults. This is the first study to investigate the neuronal contribution to age and sex effects in the frequency dimension of the rs-fMRI signal and may lead to the development of new, frequency-based rs-fMRI metrics. Our study demonstrates that Fourier analysis of the fMRI signal can reveal novel information about aging. Furthermore, fMRI and EEG signals reflect different aspects of age- and sex-related brain differences, but the signal frequency and complexity, instead of amplitude, may hold their link.
MeSH term(s)	Aged ; Aging/physiology ; Brain/physiology ; Brain Mapping/methods ; Electroencephalography ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Young Adult
Language	English
Publishing date	2022-03-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1197207-5
ISSN	1097-0193 ; 1065-9471
ISSN (online)	1097-0193
ISSN	1065-9471
DOI	10.1002/hbm.25823
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Object-oriented building extraction based on visual attention mechanism.

Shen, Xiaole / Yu, Chen / Lin, Lin / Cao, Jinzhou

PeerJ. Computer science

2023 Volume 9, Page(s) e1566

Abstract: Buildings, which play an important role in the daily lives of humans, are a significant indicator of urban development. Currently, automatic building extraction from high-resolution remote sensing images (RSI) has become an important means in urban ... ...

Abstract	Buildings, which play an important role in the daily lives of humans, are a significant indicator of urban development. Currently, automatic building extraction from high-resolution remote sensing images (RSI) has become an important means in urban studies, such as urban sprawl, urban planning, urban heat island effect, population estimation and damage evaluation. In this article, we propose a building extraction method that combines bottom-up RSI low-level feature extraction with top-down guidance from prior knowledge. In high-resolution RSI, buildings usually have high intensity, strong edges and clear textures. To generate primary features, we propose a feature space transform method that consider building. We propose an object oriented method for high-resolution RSI shadow extraction. Our method achieves user accuracy and producer accuracy above 95% for the extraction results of the experimental images. The overall accuracy is above 97%, and the quantity error is below 1%. Compared with the traditional method, our method has better performance on all the indicators, and the experiments prove the effectiveness of the method.
Language	English
Publishing date	2023-08-30
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1566
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Novel mechanistic study of HDAC6 regulation of rheumatoid arthritis via CMA: exploring potential therapeutic targets.

Lin, Duoduo / Lai, Weipeng / Zheng, Ningning / Luo, Hongbin / Chen, Xiaole / Que, Wenzhong / Zhang, Nanwen

Frontiers in pharmacology

2024 Volume 15, Page(s) 1383663

Abstract: Objective: Rheumatoid arthritis (RA) is a systemic autoimmune disease. Its pathogenesis has not yet been clarified, so it is urgent to explore therapeutic targets. Here, we clarified the role of HDAC6 in the mechanism of action of RA through mediating ... ...

Abstract	Objective: Rheumatoid arthritis (RA) is a systemic autoimmune disease. Its pathogenesis has not yet been clarified, so it is urgent to explore therapeutic targets. Here, we clarified the role of HDAC6 in the mechanism of action of RA through mediating chaperone-mediated autophagy (CMA) to provide a clinical treatment of RA. Methods: We used rheumatoid arthritis fibroblast-like synoviocytes (RA-FLS) and collagen-induced arthritis mice (CIA mice) as models of RA and pharmacological inhibitors as well as genetic interference with adeno-associated viruses to reduce the expression of HDAC6. We explored the influence of CAY10603 on RA-FLS proliferation and inflammation, as well as the expression of proteins related to the CMA signaling pathway. CIA model was constructed using DBA/1J mice. Arthritis symptoms in CIA mice were evaluated, and the expression and localization of CMA-related proteins in mouse ankle joints were examined. Results: CAY10603 inhibited proliferation as well as the level of the molecular chaperone autophagy in RA-FLS. HDAC6 shRNA significantly reduced the clinical signs of arthritis in CIA mice, as did the expression of HDAC6 in the serum and ankle synovial tissues of CIA mice. Finally, it significantly inhibited the level of Hsc70 and LAMP-2A, which are involved in the CMA signaling pathway, in ankle joint tissues. Conclusion: Downregulation of HDAC6 may inhibit CMA and thereby ameliorate RA.
Language	English
Publishing date	2024-03-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2024.1383663
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Study of dual binding specificity of aptamer to ochratoxin A and norfloxacin and the development of fluorescent aptasensor in milk detection.

Gao, Ling / Zhang, Yue / Chen, Lu / Zhou, Qingtong / Zhou, Nandi / Xia, Xiaole

Talanta

2024 Volume 273, Page(s) 125935

Abstract: Target specificity, one of aptamer characteristics that determine recognition efficiency of biosensors, is generally considered to be an intrinsic property of aptamer. However, a high-affinity aptamer may have additional target binding specificity, ... ...

Abstract	Target specificity, one of aptamer characteristics that determine recognition efficiency of biosensors, is generally considered to be an intrinsic property of aptamer. However, a high-affinity aptamer may have additional target binding specificity, little is known about the specificity of aptamer binding to multiple targets, which may result in false-positive results that hinder the accuracy of detection. Herein, an aptamer OBA3 with dual target ochratoxin A (OTA) and norfloxacin (NOR) was used as an example to explore the binding specificity mechanism and developed rapid fluorescent aptasensing methods. The nucleotide 15th T of aptamer OBA3 was demonstrated to be critical for specificity and affinity binding of target OTA via site-saturation mutagenesis. Substituting the 15th T base for C base could directly improve recognition specificity of aptamer for NOR and remove the binding affinity for OTA. The combination of π-π stacking interactions, salt bridges and hydrogen bonds between loop pocket of aptamer and quinolone skeleton, piperazinyl group may contributes to the fluoroquinolone antibiotics (NOR and difloxacin)-aptamer recognition interaction. Based on this understanding, a dual-aptamer fluorescent biosensor was fabricated for simultaneous detection of OTA and NOR, which has a linear detection range of 50-6000 nM with a detection limit of 31 nM for OTA and NOR. Combined with T15C biosensor for eliminating interference of OTA, the assay was applied to milk samples with satisfactory recovery (94.06-100.93%), which can achieve detection of OTA and NOR individually within 40 min.
MeSH term(s)	Animals ; Norfloxacin ; Milk/chemistry ; Limit of Detection ; Aptamers, Nucleotide/chemistry ; Ochratoxins/analysis ; Coloring Agents ; Biosensing Techniques/methods
Chemical Substances	ochratoxin A (1779SX6LUY) ; Norfloxacin (N0F8P22L1P) ; Aptamers, Nucleotide ; Ochratoxins ; Coloring Agents
Language	English
Publishing date	2024-03-19
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1500969-5
ISSN	1873-3573 ; 0039-9140
ISSN (online)	1873-3573
ISSN	0039-9140
DOI	10.1016/j.talanta.2024.125935
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data

Chen, Wei / Bai, Yanbing / Wen, Xiaole

Environ Sci Pollut Res. 2022 Jan., v. 29, no. 3 p.3702-3717

2022

Abstract: During the outbreak of the COVID-19, China implemented an urban lockdown in the first period. These measures not only effectively curbed the spread of the virus but also brought a positive impact on the ecological environment. The water quality of urban ... ...

Abstract	During the outbreak of the COVID-19, China implemented an urban lockdown in the first period. These measures not only effectively curbed the spread of the virus but also brought a positive impact on the ecological environment. The water quality of urban inland river has a significant impact on urban ecology and public health. This study uses Sentinel-2 visible and near-infrared band reflectance and the Normalized Difference Turbidity Index (NDTI) to analyze the water quality of the Haihe River Basin during the control period of COVID-19. It is found that during the lockdown period, the river water quality was significantly improved compared to the same period in 2019. The average NDTI of the Haihe River Basin in March decreased by 0.27, a decrease of 219.06%; in April, it increased by 0.07, that is 38.38%. Further exploration using VIIRS lights found that the brightness of the lights in the main urban area was significantly lower in February, the beginning of the lockdown. However, as the city was unblocked, the lights rose sharply in March and then recovered to normal. There is obvious asynchrony in changes between river turbidity and light. The results can help understand the impact of human activities on the natural environment.
Keywords	COVID-19 infection ; ecology ; humans ; public health ; reflectance ; remote sensing ; river water ; rivers ; turbidity ; urban areas ; viruses ; water quality ; watersheds ; China
Language	English
Dates of publication	2022-01
Size	p. 3702-3717.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-15928-6
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Fabrication of caffeoylquinic acid-loaded burdock polysaccharide nanoparticles and their antioxidant activity in hydrogen peroxide-damaged HepaRG cells.

Chen, Xiaole / Li, Lingyu / Zhu, Wenqing / Teng, Yun / Qiu, Zhichang / Ji, Wenhua / Zheng, Zhenjia / Gong, Jianquan

Food chemistry: X

2024 Volume 22, Page(s) 101293

Abstract: Herein, burdock polysaccharide (BP) and modified burdock polysaccharide (MBP) were prepared, followed by the fabrication of chlorogenic acid (CA)-BP, CA-MBP, isochlorogenic acid A (ICA)-BP, and ICA-MBP nanoparticles. Afterward, the structural ... ...

Abstract	Herein, burdock polysaccharide (BP) and modified burdock polysaccharide (MBP) were prepared, followed by the fabrication of chlorogenic acid (CA)-BP, CA-MBP, isochlorogenic acid A (ICA)-BP, and ICA-MBP nanoparticles. Afterward, the structural characteristics, physical stability, digestive characteristics, and antioxidant activity of hydrogen peroxide (H
Language	English
Publishing date	2024-03-16
Publishing country	Netherlands
Document type	Journal Article
ISSN	2590-1575
ISSN (online)	2590-1575
DOI	10.1016/j.fochx.2024.101293
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Comparative efficacy and safety of oral anticoagulants for the treatment of venous thromboembolism in the patients with different renal functions

Lihua Wang / Hong Cheng / Xiaole Su / Bingjuan Yan / Yipu Chen

BMJ Open, Vol 12, Iss

a systematic review, pairwise and network meta-analysis

2022 Volume 2

Keywords	Medicine ; R
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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