Publications by authors named "Yu-Ping Wang"

312 Publications

Identification of Two Variants of in Pediatric Chinese Patients With Paroxysmal Tonic Upgaze.

Front Pediatr 2021 24;9:722105. Epub 2021 Sep 24.

Department of Pediatric, Xuanwu Hospital, Capital Medical University, Beijing, China.

Investigate the clinical manifestations and genotypes of paroxysmal tonic upgaze (PTU) in Chinese children. We report the clinical manifestations and genetic test results of four pediatric PTU patients in China. Recent articles on PTU cases are also summarized and analyzed. The onset age of all four cases was at early infancy, and they presented as episodic binocular upward gaze with mild growth retardation. Two patients each carried a novel variant in the gene, c.4046C>T (p.R1349X), and c.4415C>T (p.S1472L). Patients with infantile-onset paroxysmal binocular upward gaze should be considered to diagnose as PTU.
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http://dx.doi.org/10.3389/fped.2021.722105DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500051PMC
September 2021

Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence.

Neuroimage 2021 Sep 10;244:118552. Epub 2021 Sep 10.

Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA. Electronic address:

Background: While numerous studies have examined the developmental trajectory of task-based neural oscillations during childhood and adolescence, far less is known about the evolution of spontaneous cortical activity during this time period. Likewise, many studies have shown robust sex differences in task-based oscillations during this developmental period, but whether such sex differences extend to spontaneous activity is not understood.

Methods: Herein, we examined spontaneous cortical activity in 111 typically-developing youth (ages 9-15 years; 55 male). Participants completed a resting state magnetoencephalographic (MEG) recording and a structural MRI. MEG data were source imaged and the power within five canonical frequency bands (delta, theta, alpha, beta, gamma) was computed. The resulting power spectral density maps were analyzed via vertex-wise ANCOVAs to identify spatially-specific effects of age, sex, and their interaction.

Results: We found robust increases in power with age in all frequencies except delta, which decreased over time, with findings largely confined to frontal cortices. Sex effects were distributed across frontal and temporal regions; females tended to have greater delta and beta power, whereas males had greater alpha. Importantly, there was a significant age-by-sex interaction in theta power, such that males exhibited decreasing power with age while females showed increasing power with age in the bilateral superior temporal cortices.

Discussion: These data suggest that the strength of spontaneous activity undergoes robust change during the transition from childhood to adolescence (i.e., puberty onset), with intriguing sex differences in some cortical areas. Future developmental studies should probe task-related oscillations and spontaneous activity in parallel.
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http://dx.doi.org/10.1016/j.neuroimage.2021.118552DOI Listing
September 2021

In situ pedicle lengthening and perforator shifting technique for overcoming the perforator variation of the anterolateral thigh free flap during head and neck reconstruction.

Microsurgery 2021 Sep 9. Epub 2021 Sep 9.

Division of Plastic and Reconstructive Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan.

Background: Anterolateral thigh (ALT) free flap is one of the most popular options for surgeons when reconstructing head and neck defects. When the recipient vessels are located in a remote site, a flap with adequate pedicle length is essential. The conventional methods of either pedicle elongation or fabricating combined flap increase the total surgical time. We present the experience on the use of what in situ pedicle lengthening and perforator shifting technique to overcome these problems.

Methods: Fifteen patients with an age range of 38-65 years underwent in situ vascular transposition microsurgery of the ALT free flap harvest during head and neck reconstruction. Fourteen patients were male and one was female. Indications for reconstruction were malignant neoplasm in 14 patients and osteoradionecrosis in one patient. In this series, the descending branch of the lateral circumflex femoral vessels was used for interposition grafts. If the pedicle length was insufficient, the interposition grafts were used to lengthen the pedicle. The interposition grafts could also bridge different perforasomes in the thigh region in complex head and neck reconstruction.

Results: Of the 15 patients, 11 received the in situ pedicle lengthening technique, while four patients received in situ fabricated combined techniques. After surgery, all of the patients were followed up for at least 3 months. Two partial wounds involving poor healing occurred but finally healed after debridement. There were two major complications: one case involved venous thrombosis of the anastomosis and the other suffered from hematoma. Both cases were salvaged. All of the 15 free ALT flaps were successful.

Conclusions: The alternative method employed in this series was able to solve the ALT flap perforator variation. Although the enrolled cases were confined to only head and neck reconstruction in the series, the in situ technique of the ALT flaps could be administered during reconstruction in other regions.
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http://dx.doi.org/10.1002/micr.30807DOI Listing
September 2021

A systematic dissection of human primary osteoblasts at single-cell resolution.

Aging (Albany NY) 2021 08 24;13(16):20629-20650. Epub 2021 Aug 24.

Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.

Human osteoblasts are multifunctional bone cells, which play essential roles in bone formation, angiogenesis regulation, as well as maintenance of hematopoiesis. However, the categorization of primary osteoblast subtypes in humans has not yet been achieved. Here, we used single-cell RNA sequencing (scRNA-seq) to perform a systematic cellular taxonomy dissection of freshly isolated human osteoblasts from one 31-year-old male with osteoarthritis and osteopenia after hip replacement. Based on the gene expression patterns and cell lineage reconstruction, we identified three distinct cell clusters including preosteoblasts, mature osteoblasts, and an undetermined rare osteoblast subpopulation. This novel subtype was found to be the major source of the nuclear receptor subfamily 4 group A member 1 and 2 (NR4A1 and NR4A2) in primary osteoblasts, and the expression of NR4A1 was confirmed by immunofluorescence staining on mouse osteoblasts . Trajectory inference analysis suggested that the undetermined cluster, together with the preosteoblasts, are involved in the regulation of osteoblastogenesis and also give rise to mature osteoblasts. Investigation of the biological processes and signaling pathways enriched in each subpopulation revealed that in addition to bone formation, preosteoblasts and undetermined osteoblasts may also regulate both angiogenesis and hemopoiesis. Finally, we demonstrated that there are systematic differences between the transcriptional profiles of human and mouse osteoblasts, highlighting the necessity for studying bone physiological processes in humans rather than solely relying on mouse models. Our findings provide novel insights into the cellular heterogeneity and potential biological functions of human primary osteoblasts at the single-cell level.
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http://dx.doi.org/10.18632/aging.203452DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436943PMC
August 2021

Differences in the Quantity and Composition of Extracellular Vesicles in the Aqueous Humor of Patients with Retinal Neovascular Diseases.

Diagnostics (Basel) 2021 Jul 15;11(7). Epub 2021 Jul 15.

Department of Ophthalmology, Chung Shan Medical University Hospital, Taichung 402306, Taiwan.

Extracellular vesicles (EVs) are secreted by various cells in the body fluid system and have been found to influence vessel formation and inflammatory responses in a variety of diseases. However, which EVs and their subtypes are involved in vascular retinal diseases is still unclear. Therefore, the aim of this study was to explore the particle distribution of EVs in retinal neovascular diseases, including age-related macular degeneration, polypoidal choroidal vasculopathy, and central retinal vein occlusion. The aqueous humor was harvested from 20 patients with different retinal neovascular diseases and six patients with cataracts as the control group. The particle distribution was analyzed using nanoparticle tracking analysis (NTA) and transmitting electron microscopy (TEM). The results revealed that the disease groups had large amounts of EVs and their subtypes compared to the control group. After isolating exosomes, a higher expression of CD81 exosomes was shown in the disease groups using flow cytometry. The exosomes were then further classified into three subtypes of exomeres, small exosomes, and large exosomes, and their amounts were shown to differ depending on the disease type. To the best of our knowledge, this is the first study to elucidate the dynamics of EVs in retinal neovascular diseases using clinical cases. Our findings demonstrated the possible functionality of microvesicles and exosomes, indicating the potential of exosomes in the diagnosis and therapy of retinal neovascular diseases.
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http://dx.doi.org/10.3390/diagnostics11071276DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306174PMC
July 2021

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis.

J Biomed Inform 2021 08 6;120:103854. Epub 2021 Jul 6.

Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.

In recent years, a comprehensive study of complex disease with multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedical technologies are enabling us to collect multi-view biomedical datasets for the study of complex diseases. While all the views of data tend to explore complementary information of disease, analysis of multi-view data with complex interactions is challenging for a deeper and holistic understanding of biological systems. In this paper, we propose a novel generalized kernel machine approach to identify higher-order composite effects in multi-view biomedical datasets (GKMAHCE). This generalized semi-parametric (a mixed-effect linear model) approach includes the marginal and joint Hadamard product of features from different views of data. The proposed kernel machine approach considers multi-view data as predictor variables to allow a more thorough and comprehensive modeling of a complex trait. We applied GKMAHCE approach to both synthesized datasets and real multi-view datasets from adolescent brain development and osteoporosis study. Our experiments demonstrate that the proposed method can effectively identify higher-order composite effects and suggest that corresponding features (genes, region of interests, and chemical taxonomies) function in a concerted effort. We show that the proposed method is more generalizable than existing ones. To promote reproducible research, the source code of the proposed method is available at.
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http://dx.doi.org/10.1016/j.jbi.2021.103854DOI Listing
August 2021

[Altitudinal phenotypic plasticity of leaf characteristics of ].

Ying Yong Sheng Tai Xue Bao 2021 Jun;32(6):2070-2078

Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement/Gansu Provincial Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China.

We investigated leaf tissue structure, leaf epidermis characteristics and chloroplast ultrastructure of at different altitudes (2300, 3200 and 3900 m) on the Qilian Mountain, using paraffin section, scanning electron microscopy and transmission electron microscopy methods. The results showed that plant leaves were typical bifacial. With increasing altitude, the number of leaf epidermal hair reduced but the diameter of hair increased, with more compact of the cuticular wax layer on leaf lower epidermis. Leaf thickness reached a maximum at 3200 m and was increased by 39.6% and 50.5%, respectively, compared with that from 2300 m and 3900 m. From 2300 m to 3200 m, the cell layers of palisade tissue increased from two to three, while intercellular space decreased. The cell layer of spongy tissue did not change, whereas intercellular space increased with increasing altitude. At 3900 m, the number of cell layer of palisade tissue reduced to two, epidermal cell volume and the intercellular space of palisade tissue increased while the intercellular space of spongy tissue decreased. The thickness of epidermal cell increased. There was no significant difference among three altitudes in the number of cell layers. The accumulation of surface appurtenances and the substomatal appendages, and stomata density of lower epidermis increased with altitude. Meanwhile, the position of stomata changed from arched epidermis to invagination. From 2300 m to 3200 m, the grana lamella increased from 6-9 to 8-12 and then reduced to 2-3 at 3900 m. The number of grana decreased, the lamellae became dense, the arrangement direction of grana was irregular at 3900 m. The chloroplasts swelling and the envelope partially degradation could be observed. The correlations among the anatomical characteristics of leaves indicated an apparent co-evolution between parts of anatomical indices in the leaves. In particular, indices such as spongy tissue thickness exhibited high plasticity across altitudes. Our results suggested that diffe-rences in anatomical structure and ultrastructure characteristics of along altitude were adaptation strategies for the complicated alpine heterogeneous habitats.
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http://dx.doi.org/10.13287/j.1001-9332.202106.001DOI Listing
June 2021

AGEs promote calcification of HASMCs by mediating Pi3k/AKT-GSK3β signaling.

Front Biosci (Landmark Ed) 2021 05;26(6):125-134

Department of General Surgery (Vascular Surgery), The Affiliated Hospital of Southwest Medical University, 646000 Luzhou, China.

This study aimed to investigate the effects of advanced glycation end products (AGEs) on the calcification of human arterial smooth muscle cells (HASMCs) and to explore whether AGEs can promote the calcification of HASMCs by activating the phosphoinositide 3-kinase (PI3K)/AKT-glycogen synthase kinase 3 beta (GSK3-β) axis. Cultured HASMCs were divided into five groups: blank control group, dimethyl sulfoxide (vehicle) group, AGEs group, LY294002 (AKT inhibitor) group, and TWS119 (GSK3-β inhibitor) group. Cells were pretreated with either vehicle, LY294002, or TWS119 for 2 hours followed by incubation with AGEs (25 μg/mL) for 5 days, and the expression levels of proteins in each group were analyzed by western blotting. AGE treatment promoted HASMC calcification, which coincided with increased expression of p-AKT and p-GSK3-β (serine 9). Also, AGEs upregulated the expression of osteoprotegerin and bone morphogenetic protein, and these effects were suppressed by LY294002 but enhanced by TWS119. In conclusion, AGEs promote calcification of HASMCs, and this effect is ameliorated by inhibition of AKT activity but potentiated by inhibition of GSK3-β activity. Hence, AGEs trigger HASMC calcification by regulating PI3K/AKT-GSK3-β signaling.
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http://dx.doi.org/10.52586/4929DOI Listing
May 2021

Venous malformations with severe localized intravascular coagulopathy treated with microwave ablation.

Vascular 2021 Jun 18:17085381211026829. Epub 2021 Jun 18.

Department of Oral and Maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Objectives: To evaluate the safety and feasibility of microwave ablation for treating venous malformations (VMs) with severe localized intravascular coagulopathy (LIC).

Patients And Methods: Data for patients with the diagnosis of VMs coupled with severe LIC who underwent color Doppler-guided microwave dynamic ablation between January 2017 and June 2019 were retrospectively reviewed and analyzed. All patients had previously received sclerotherapy or other treatments with poor outcomes and gradual aggravation of coagulation abnormalities. Microwave treatment with "dynamic ablation" was performed with real-time color Doppler monitoring and was repeated if necessary after 3 months. Low-molecular-weight heparin (LMWH) was used to control consumptive coagulopathy. The therapeutic efficacy including coagulation function and lesion size was evaluated using the four-level scale developed by Achauer.

Results: Among 15 patients with extensive diffuse or multiple VMs, 10 patients presented with lesions in a single lower extremity, one in both lower extremities and the perineum, one in both upper extremities and the trunk, and three with multiple lesions. The patients underwent a total of 74 microwave ablation sessions, with an average of 4.9 sessions per person. Coagulation abnormalities were temporarily aggravated in 59 sessions within the first seven days post-ablation but improved to grade II (fair) a week later. From six months to three years after the ablation, the lesions improved to grade IV (excellent) in one patient, grade III (good) in six patients, and grade II (fair) in eight patients. Moreover, the coagulation function improved to grade IV in four patients, grade III in eight patients, and grade II in three patients, resulting in an efficiency rate of 80% (12/15). Post-ablation complications included fever, hemoglobinuria, and elevations in aspartate aminotransferase, lactate dehydrogenase, and alanine aminotransferase. The patients with fever and hemoglobinuria recovered after specific therapeutic measures, but elevations in aspartate aminotransferase, lactate dehydrogenase, and alanine aminotransferase recovered spontaneously without further interventions.

Conclusions: Ablation coupled with anticoagulation can effectively treat VMs in patients with severe LIC and improve the long-term coagulation function.
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http://dx.doi.org/10.1177/17085381211026829DOI Listing
June 2021

Frontoparietal network and neuropsychological measures in typically developing children.

Neuropsychologia 2021 08 10;159:107914. Epub 2021 Jun 10.

Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address:

Resting-state activity has been used to gain a broader understanding of typical and aberrant developmental changes. However, the developmental trajectory of resting-state activity in relation to cognitive performance has not been studied in detail. The present study assessed spectral characteristics of theta (5-8 Hz) and alpha (9-13 Hz) frequency bands during resting-state in a priori selected regions of the frontoparietal network (FPN). We also examined the relationship between resting-state activity and cognitive performance in typically developing children. We hypothesized that older children and children with high attentional scores would have higher parietal alpha activity and frontal theta activity while at rest compared to young children and those with lower attentional scores. MEG data were collected in 65 typically developing children, ages 9-14 years, as part of the Developmental Chronnecto-Genomics study. Resting-state data were collected during eyes open and eyes closed for 5 min. Participants completed the NIH Toolbox Flanker Inhibitory Control (FICA) and Attention Test and Dimensional Change Card Sort Test (DCCS) to assess top-down attentional control. Spectral power density was used to characterize the FPN. We found during eyes open and eyes closed, all participants had higher theta and alpha power in parietal regions relative to frontal regions. The group with high attentional scores had higher alpha power during resting-state eyes closed compared to those with low attentional scores. However, there were no significant differences between age groups, suggesting changes in the maturation of neural oscillations in theta and alpha are not evident among children in the 9-14-year age range.
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http://dx.doi.org/10.1016/j.neuropsychologia.2021.107914DOI Listing
August 2021

Sexually dimorphic development in the cortical oscillatory dynamics serving early visual processing.

Dev Cogn Neurosci 2021 08 26;50:100968. Epub 2021 May 26.

Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA. Electronic address:

Successful interaction with one's visual environment is paramount to developing and performing many basic and complex mental functions. Although major aspects of visual development are completed at an early age, other structural and functional components of visual processing appear to be dynamically changing across a much more protracted period extending into late childhood and adolescence. However, the underlying neurophysiological changes and cortical oscillatory dynamics that support maturation of the visual system during this developmental period remain poorly understood. The present study utilized magnetoencephalography (MEG) to investigate maturational changes in the neural dynamics serving basic visual processing during childhood and adolescence (ages 9-15, n = 69). Our key results included robust sex differences in alpha oscillatory activity within the left posterior parietal cortex, and sex-by-age interactions in gamma activity in the right lingual gyrus and superior parietal lobule. Hierarchical regression revealed that the peak frequency of both the alpha and gamma responses predicted response power in parietal regions above and beyond the noted effects of age and sex. These findings affirm the view that neural oscillations supporting visual processing develop over a much more protracted period, and illustrate that these maturational trajectories are influenced by numerous elements, including age, sex, and individual variation.
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http://dx.doi.org/10.1016/j.dcn.2021.100968DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187257PMC
August 2021

Neural oscillations underlying selective attention follow sexually divergent developmental trajectories during adolescence.

Dev Cogn Neurosci 2021 06 7;49:100961. Epub 2021 May 7.

Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA. Electronic address:

Selective attention processes are critical to everyday functioning and are known to develop through at least young adulthood. Although numerous investigations have studied the maturation of attention systems in the brain, these studies have largely focused on the spatial configuration of these systems; there is a paucity of research on the neural oscillatory dynamics serving selective attention, particularly among youth. Herein, we examined the developmental trajectory of neural oscillatory activity serving selective attention in 53 typically developing youth age 9-to-16 years-old. Participants completed the classic arrow-based flanker task during magnetoencephalography, and the resulting data were imaged in the time-frequency domain. Flanker interference significantly modulated theta and alpha/beta oscillations within prefrontal, mid-cingulate, cuneus, and occipital regions. Interference-related neural activity also increased with age in the temporoparietal junction and the rostral anterior cingulate. Sex-specific effects indicated that females had greater theta interference activity in the anterior insula, whereas males showed differential effects in theta and alpha/beta oscillations across frontoparietal regions. Finally, males showed age-related changes in alpha/beta interference in the cuneus and middle frontal gyrus, which predicted improved behavioral performance. Taken together, these data suggest sexually-divergent developmental trajectories underlying selective attention in youth.
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http://dx.doi.org/10.1016/j.dcn.2021.100961DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131898PMC
June 2021

Resting-state functional connectivity of the human hippocampus in periadolescent children: Associations with age and memory performance.

Hum Brain Mapp 2021 Aug 12;42(11):3620-3642. Epub 2021 May 12.

Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.

The hippocampus is necessary for declarative (relational) memory, and the ability to form hippocampal-dependent memories develops through late adolescence. This developmental trajectory of hippocampal-dependent memory could reflect maturation of intrinsic functional brain networks, but resting-state functional connectivity (rs-FC) of the human hippocampus is not well-characterized for periadolescent children. Measuring hippocampal rs-FC in periadolescence would thus fill a gap, and testing covariance of hippocampal rs-FC with age and memory could inform theories of cognitive development. Here, we studied hippocampal rs-FC in a cross-sectional sample of healthy children (N = 96; 59 F; age 9-15 years) using a seed-based approach, and linked these data with NIH Toolbox measures, the Picture-Sequence Memory Test (PSMT) and the List Sorting Working Memory Test (LSWMT). The PSMT was expected to rely more on hippocampal-dependent memory than the LSWMT. We observed hippocampal rs-FC with an extensive brain network including temporal, parietal, and frontal regions. This pattern was consistent with prior work measuring hippocampal rs-FC in younger and older samples. We also observed novel, regionally specific variation in hippocampal rs-FC with age and hippocampal-dependent memory but not working memory. Evidence consistent with these findings was observed in a second, validation dataset of similar-age healthy children drawn from the Philadelphia Neurodevelopment Cohort. Further, a cross-dataset analysis suggested generalizable properties of hippocampal rs-FC and covariance with age and memory. Our findings connect prior work by describing hippocampal rs-FC and covariance with age and memory in typically developing periadolescent children, and our observations suggest a developmental trajectory for brain networks that support hippocampal-dependent memory.
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http://dx.doi.org/10.1002/hbm.25458DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249892PMC
August 2021

Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction.

IEEE Trans Biomed Eng 2021 May 11;PP. Epub 2021 May 11.

Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral and cognitive traits based on brain connectivity networks.

Methods: To take advantage of complementary information from multi-modal fMRI, we propose an interpretable multi-modal graph convolutional network (MGCN) model, incorporating both fMRI time series and functional connectivity (FC) between each pair of brain regions. Specifically, our model learns a graph embedding from individual brain networks derived from multi-modal data. A manifold-based regularization term is enforced to consider the relationships of subjects both within and between modalities. Furthermore, we propose the gradient-weighted regression activation mapping (Grad-RAM) and the edge mask learning to interpret the model, which is then used to identify significant cognition-related biomarkers.

Results: We validate our MGCN model on the Philadelphia Neurodevelopmental Cohort to predict individual wide range achievement test (WRAT) score. Our model obtains superior predictive performance over GCN with a single modality and other competing approaches. The identified biomarkers are cross-validated from different approaches.

Conclusion And Significance: This paper develops a new interpretable graph deep learning framework for cognition prediction, with the potential to overcome the limitations of several current data-fusion models. The results demonstrate the power of MGCN in analyzing multi-modal fMRI and discovering significant biomarkers for human brain studies.
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http://dx.doi.org/10.1109/TBME.2021.3077875DOI Listing
May 2021

Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data.

J Neurosci Methods 2021 07 2;358:109202. Epub 2021 May 2.

Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA; Department of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA, USA; Department of Psychology, Georgia State University, Atlanta, GA, USA.

Background: Resting-state fMRI (rs-fMRI) is employed to assess "functional connections" of signal between brain regions. However, multiple rs-fMRI paradigms and data-filtering strategies have been used, highlighting the need to explore BOLD signal across the spectrum. Rs-fMRI data is typically filtered at frequencies ranging between 0.008∼0.2 Hz to mitigate nuisance signal (e.g. cardiac, respiratory) and maximize neuronal BOLD signal. However, some argue neuronal BOLD signal may be parsed at higher frequencies.

New Method: To assess the contributions of rs-fMRI along the BOLD spectra on functional network connectivity (FNC) matrices, a spatially constrained independent component analysis (ICA) was performed at seven different frequency "bins", after which FNC values and FNC measures of matrix-randomness were assessed using linear mixed models.

Results: Results show FNCs at higher-frequency bins display similar randomness to those from the typical frequency bins (0.01-0.15), while the largest values are in the 0.31-0.46 Hz bin. Eyes open (EO) vs eyes closed (EC) comparison found EC was less random than EO across most frequency bins. Further, FNC was greater in EC across auditory and cognitive control pairings while EO values were greater in somatomotor, visual, and default mode FNC.

Comparison With Existing Methods: Effect sizes of frequency and resting-state paradigm vary from small to large, but the most notable results are specific to frequency ranges and resting-state paradigm with artifacts like motion displaying negligible effect sizes.

Conclusions: These suggest unique information may be derived from FNC matrices across frequencies and paradigms, but additional data is necessary prior to any definitive conclusions.
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http://dx.doi.org/10.1016/j.jneumeth.2021.109202DOI Listing
July 2021

Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.

CNS Neurosci Ther 2021 07 4;27(7):820-830. Epub 2021 May 4.

School of Biological Science and Medical Engineering, Beihang University, Beijing, China.

Aims: To improve the Magnetoencephalography (MEG) spatial localization precision of focal epileptic.

Methods: 306-channel simulated or real clinical MEG is estimated as a lower-dimensional tensor by Tucker decomposition based on Higher-order orthogonal iteration (HOOI) before the inverse problem using linearly constraint minimum variance (LCMV). For simulated MEG data, the proposed method is compared with dynamic imaging of coherent sources (DICS), multiple signal classification (MUSIC), and LCMV. For clinical real MEG of 31 epileptic patients, the ripples (80-250 Hz) were detected to compare the source location precision with spikes using the proposed method or the dipole-fitting method.

Results: The experimental results showed that the positional accuracy of the proposed method was higher than that of LCMV, DICS, and MUSIC for simulation data. For clinical real MEG data, the positional accuracy of the proposed method was higher than that of dipole-fitting regardless of whether the time window was ripple window or spike window. Also, the positional accuracy of the ripple window was higher than that of the spike window regardless of whether the source location method was the proposed method or the dipole-fitting method. For both shallow and deep sources, the proposed method provided effective performance.

Conclusion: Tucker estimation of MEG for source imaging by ripple window is a promising approach toward the presurgical evaluation of epileptics.
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http://dx.doi.org/10.1111/cns.13643DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193700PMC
July 2021

Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder.

Hum Brain Mapp 2021 Jun 9;42(9):2691-2705. Epub 2021 Apr 9.

Biomedical Engineering Department, Tulane University, New Orleans, Louisiana, USA.

Functional network connectivity has been widely acknowledged to characterize brain functions, which can be regarded as "brain fingerprinting" to identify an individual from a pool of subjects. Both common and unique information has been shown to exist in the connectomes across individuals. However, very little is known about whether and how this information can be used to predict the individual variability of the brain. In this paper, we propose to enhance the uniqueness of individual connectome based on an autoencoder network. Specifically, we hypothesize that the common neural activities shared across individuals may reduce the individual identification. By removing contributions from shared activities, inter-subject variability can be enhanced. Our experimental results on HCP data show that the refined connectomes obtained by utilizing autoencoder with sparse dictionary learning can distinguish an individual from the remaining participants with high accuracy (up to 99.5% for the rest-rest pair). Furthermore, high-level cognitive behaviors (e.g., fluid intelligence, executive function, and language comprehension) can also be better predicted with the obtained refined connectomes. We also find that high-order association cortices contribute more to both individual discrimination and behavior prediction. In summary, our proposed framework provides a promising way to leverage functional connectivity networks for cognition and behavior study, in addition to a better understanding of brain functions.
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http://dx.doi.org/10.1002/hbm.25394DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127140PMC
June 2021

Functional network estimation using multigraph learning with application to brain maturation study.

Hum Brain Mapp 2021 Jun 31;42(9):2880-2892. Epub 2021 Mar 31.

Department of Biomedical Engineering, Tulane University, New Orleans, Louisiana, USA.

Although most dramatic structural changes occur in the perinatal period, a growing body of evidences demonstrates that adolescence and early adulthood are also important for substantial neurodevelopment. We were thus motivated to explore brain development during puberty by evaluating functional connectivity network (FCN) differences between childhood and young adulthood using multi-paradigm task-based functional magnetic resonance imaging (fMRI) measurements. Different from conventional multigraph based FCN construction methods where the graph network was built independently for each modality/paradigm, we proposed a multigraph learning model in this work. It promises a better fitting to FCN construction by jointly estimating brain network from multi-paradigm fMRI time series, which may share common graph structures. To investigate the hub regions of the brain, we further conducted graph Fourier transform (GFT) to divide the fMRI BOLD time series of a node within the brain network into a range of frequencies. Then we identified the hub regions characterizing brain maturity through eigen-analysis of the low frequency components, which were believed to represent the organized structures shared by a large population. The proposed method was evaluated using both synthetic and real data, which demonstrated its effectiveness in extracting informative brain connectivity patterns. We detected 14 hub regions from the child group and 12 hub regions from the young adult group. We show the significance of these findings with a discussion of their functions and activation patterns as a function of age. In summary, our proposed method can extract brain connectivity network more accurately by considering the latent common structures between different fMRI paradigms, which are significant for both understanding brain development and recognizing population groups of different ages.
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http://dx.doi.org/10.1002/hbm.25410DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127152PMC
June 2021

Research progress in laboratory detection of SARS-CoV-2.

Ir J Med Sci 2021 Mar 24. Epub 2021 Mar 24.

Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, 730000, China.

Background: Nucleic acid testing is a reliable method for diagnosing viral infection in clinical samples. However, when the number of cases is huge and there are individual differences in the virus itself, the probability of false-negative results increases. With the advancement in research on the new coronavirus, new detection technologies that use serum-specific antibodies as detection targets have been developed. These detection technologies have high efficiency and shorter turnaround time, which ultimately shortens the time required for diagnosis. This article summarizes the methods that have been reported to date for the detection of the new coronavirus and discusses their principles and technical characteristics.

Aims: Compare the advantages and disadvantages of various SARS-CoV-2 detection methods and analyze their principles.

Methods: Searched reports on SARS-CoV-2 detection methods published so far, extracted the data and analyzed them. Use the primer blast function of NCBI to analyze the primers used in qRT-PCR detection.

Results: The detection sensitivity was the highest when nucleocapsid protein gene was used as the target, reaching 96.6%. The detection efficiency of the remaining targets ranged from 66.7% to 96.0%. Various new detection methods, like Serum specific antibody detection, can speed up the test time. However, due to the complexity of the method and higher testing requirements, it seems that it cannot be used as a complete replacement for qRT-PRC testing.

Conclusions: With the advancement of technology and the improvement of methods, the detection methods of SARSCoV-2 have become more mature. These advances provided great help to the detection of SARS-CoV-2.
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http://dx.doi.org/10.1007/s11845-021-02604-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990494PMC
March 2021

Clinical Classifications of Children With Psychogenic Non-epileptic Seizure.

Front Pediatr 2020 25;8:596781. Epub 2021 Jan 25.

Department of Pediatric, Xuanwu Hospital, Capital Medical University, Beijing, China.

To analyze the clinical features of children with psychogenic non-epileptic seizures in one tertiary center in China. Clinical data including medical records and video- electroencephalograph (video-EEG) monitoring records of 88 pediatric PNES patients hospitalized in the pediatric department of Xuanwu Hospital, Beijing, China from April, 2012 to April, 2018 were collected in this study. Demographic information of patients, semiological classification, duration, and frequency of symptoms, risk factors as well as comorbidity were summarized and analyzed. For semiological classification, all PNES related symptoms were divided into different categories: motor symptoms, unresponsiveness, sensory symptoms, visceral symptoms, and abnormal behaviors, among which motor symptoms were the most prevalent form. Risk factors were reviewed and categorized into two groups: persistent factors and predisposing factors, and patients were most frequently affected by the influences of families. The duration and frequency of symptoms varied substantially within PNES patients while the average time of duration was relatively longer than epilepsy as reported previously. Epilepsy was considered as the most frequent comorbidity of PNES and PNES patients misdiagnosed as epilepsy often mistreated with antiseizure medication. Our study showed that motor PNES are the most frequent seizure type. Family issues were a risk factor for PNES. Epilepsy was the most frequent co-existing neurological comorbidity.
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http://dx.doi.org/10.3389/fped.2020.596781DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868414PMC
January 2021

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.

IEEE Trans Med Imaging 2021 05 30;40(5):1474-1483. Epub 2021 Apr 30.

The combination of multimodal imaging and genomics provides a more comprehensive way for the study of mental illnesses and brain functions. Deep network-based data fusion models have been developed to capture their complex associations, resulting in improved diagnosis of diseases. However, deep learning models are often difficult to interpret, bringing about challenges for uncovering biological mechanisms using these models. In this work, we develop an interpretable multimodal fusion model to perform automated diagnosis and result interpretation simultaneously. We name it Grad-CAM guided convolutional collaborative learning (gCAM-CCL), which is achieved by combining intermediate feature maps with gradient-based weights. The gCAM-CCL model can generate interpretable activation maps to quantify pixel-level contributions of the input features. Moreover, the estimated activation maps are class-specific, which can therefore facilitate the identification of biomarkers underlying different groups. We validate the gCAM-CCL model on a brain imaging-genetic study, and demonstrate its applications to both the classification of cognitive function groups and the discovery of underlying biological mechanisms. Specifically, our analysis results suggest that during task-fMRI scans, several object recognition related regions of interests (ROIs) are activated followed by several downstream encoding ROIs. In addition, the high cognitive group may have stronger neurotransmission signaling while the low cognitive group may have problems in brain/neuron development due to genetic variations.
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http://dx.doi.org/10.1109/TMI.2021.3057635DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208525PMC
May 2021

An ensemble hybrid feature selection method for neuropsychiatric disorder classification.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jan 20;PP. Epub 2021 Jan 20.

Magnetic resonance imagings (MRIs) are providing increased access to neuropsychiatric disorders that can be made available for advanced data analysis. However, the single type of data limits the ability of psychiatrists to distinguish the subclasses of this disease. In this paper, we propose an ensemble hybrid features selection method for the neuropsychiatric disorder classification. The method consists of a 3D DenseNet and a XGBoost, which are used to select the image features from structural MRI images and the phenotypic feature from phenotypic records, respectively. The hybrid feature is composed of image features and phenotypic features. The proposed method is validated in the Consortium for Neuropsychiatric Phenomics (CNP) dataset, where samples are classified into one of the four classes (healthy controls (HC), attention deficit hyperactivity disorder (ADHD), bipolar disorder (BD), and schizophrenia (SD)). Experimental results show that the hybrid feature can improve the performance of classification methods. The best accuracy of binary and multi-class classification can reach 91.22% and 78.62%, respectively. We analyze the importance of phenotypic features and image features in different classification tasks. The importance of the structure MRI images is highlighted by incorporating phenotypic features with image features to generate hybrid features. We also visualize the features of three neuropsychiatric disorders and analyze their locations in the brain region.
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http://dx.doi.org/10.1109/TCBB.2021.3053181DOI Listing
January 2021

Effects of bronchial blockers on gas exchange in infants with one-lung ventilation: a single-institutional experience of 22 cases.

Transl Pediatr 2020 Dec;9(6):802-808

Department of Anesthesiology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Background: One-lung ventilation (OLV) in infants is a commonly used airway technique during thoracic surgery. Current research has primarily focused on the operation of the airways and the occurrence of complications. However, there has been minimal data on the pulmonary gas exchange in infants before and after OLV. This study aimed to assess the efficacy of bronchial blockers (BBs) on the pulmonary gas exchange in infants with OLV.

Methods: A total of 22 infants requiring OLV from January 2017 to August 2019 were included in this study. OLV was achieved by placing BBs outside the endotracheal tube, and all surgeries were performed by the same experienced anesthesiologist. Numerous clinical features, including the oxygenation index (OI), alveolar-arterial oxygen tension gradient (PO), pulmonary dynamic compliance (Cdyn), OLV time, pulmonary collapse time, degree of pulmonary collapse at the operative side, operative time, and immediate hemodynamic indexes before and after intubation were assessed. Data from the arterial blood gases and the ventilator's parameters were obtained at three time points: 15 minutes before OLV (pre-OLV), 15 minutes after the initiation of OLV (during OLV), and 15 minutes after the termination of OLV (post-OLV).

Results: For all patients, the pulmonary gas exchange during OLV was significantly different from both pre-OLV and post-OLV. However, no significant changes of pulmonary function were observed before and after OLV. Extended OLV time was associated with decreased OI and Cdyn, and increased PO gradient (P<0.001). In addition, no significant changes of hemodynamic indexes before and after intubation were detected. The degree of lung collapse on the operational side during OLV was optimal.

Conclusions: In this study, the efficacy of BBs on the pulmonary gas exchange in infants with OLV was assessed. The results suggested that although each parameter of pulmonary function pre-OLV were similar to those of post-OLV, an extended period of OLV may lead to compromised lung function.
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http://dx.doi.org/10.21037/tp-20-391DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804471PMC
December 2020

Subclinical Anxiety and Posttraumatic Stress Influence Cortical Thinning During Adolescence.

J Am Acad Child Adolesc Psychiatry 2021 10 28;60(10):1288-1299. Epub 2020 Dec 28.

Boys Town National Research Hospital, Boys Town, Nebraska. Electronic address:

Objective: Adolescence is a sensitive period for the development and emergence of anxiety and mood disorders. Research suggests that symptoms ranging from subclinical to clinical levels are associated with pathological developmental changes in the neocortex. However, much of this research has been cross-sectional, limiting the field's ability to identify the neurodevelopmental impacts of these symptoms. The present study examined how early reported symptoms predict baseline cortical thickness and surface area, and trajectories of change in these measures during adolescence.

Method: A total of 205 typically developing individuals 9 to 15 years of age (103 male and 102 female participants) completed 3T structural magnetic resonance imaging annually for 3 years. From these, we extracted mean cortical thickness and total surface area for each year. Youth self-reported their anxiety, depressive, and posttraumatic stress symptoms during their first visit. We used latent growth curve modeling to determine how these symptoms along with sex interactions predicted baseline thickness and surface area, and rates of change in these measures over the 3-year period.

Results: Higher anxiety was associated with lower baseline thickness and slowed cortical thinning over time. Conversely, greater posttraumatic stress predicted higher baseline thickness and accelerated thinning over time. Sex interactions suggested that the effects were dampened among female compared to male participants. Depressive symptoms were not related to cortical thickness or surface area.

Conclusion: Female adolescents may express more regionally specific effects of symptoms sets on cortical thickness, although this requires further investigation. Cortical thickness in male adolescents appears to be preferentially susceptible to anxiety and posttraumatic stress symptoms, exhibiting global changes across multiple years.
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http://dx.doi.org/10.1016/j.jaac.2020.11.020DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236497PMC
October 2021

Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis.

IEEE Trans Biomed Eng 2021 08 16;68(8):2529-2539. Epub 2021 Jul 16.

Objective: To understand the association between brain networks and behaviors of an individual, most studies build predictive models based on functional connectivity (FC) from a single dataset with linear analysis techniques. Such approaches may fail to capture the nonlinear structure of brain networks and neglect the complementary information contained in FC networks (FCNs) from multiple datasets. To address this challenging issue, we use multiview dimensionality reduction to extract a coherent low-dimensional representation of the FCNs from resting-state and emotion identification task-based functional magnetic resonance imaging (fMRI) datasets.

Methods: We propose a scheme based on multiview diffusion map to extract intrinsic features while preserving the underlying geometric structure of high dimensional datasets. This method is robust to noise and small variations in the data.

Results: After validation on the Philadelphia Neurodevelopmental Cohort data, the predictive model built from both resting-state and emotion identification task-based fMRI datasets outperforms the one using each individual fMRI dataset. In addition, the proposed model achieves better prediction performance than principal component analysis (PCA) and three other competing data fusion methods.

Conclusion: Our framework for combing multiple FCNs in one predictive model exhibits improved prediction performance.

Significance: To our knowledge, we demonstrate a first application of multiview diffusion map to successfully fuse different types of fMRI data for predicting fluid intelligence (gF).
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http://dx.doi.org/10.1109/TBME.2020.3048594DOI Listing
August 2021

[Photocatalytic Degradation of Tetracycline and Copper Complex by BiMoO/BiS Heterojunction].

Huan Jing Ke Xue 2020 Dec;41(12):5488-5499

Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing 210023, China.

BiMoO/BiS heterojunctions were synthesized by the solvothermal method. The morphology, chemical composition, and photoelectric properties of the heterojunction materials were characterized by XRD, TEM, UV-Vis, XPS, and I-T. Tetracycline (TC) and tetracycline-copper (TC-Cu) composites were degraded by the as-prepared heterojunctions under visible light. The effects of pH, initial concentration of TC, and molar ratio of TC to Cu on the degradation deficiency of TC were investigated. Additionally, the main active radicals, intermediates, and mechanisms were ascertained by in situ capture experiments and the identification of intermediates. The toxicities of TC and TC-Cu before and after degradation were evaluated by chlorella growth inhibition experiments. The results showed that the prepared BiMoO/BiS heterojunction was a uniform nanosheet and its band gap was 1.76 eV. BiMoO and BiS with a mass ratio of 3:1 (MS-0.3) exhibited a composite ratio of TC and Cu was 2:1 and had the best photocatalytic performance. When the concentration of TC was 10 mg·L with neutral solutions, after reacting for 60 min, the degradation rate of TC and mineralization rate of the solution for TC-Cu were 85.63% and 52.94%, respectively. The results of active group capture experiments showed that the main active group of the heterojunction was the·O radical in visible light. In addition, the results of growth inhibition experiments showed that the presence of Cu reduces the toxicity of TC photocatalytic degradation products in the TC-Cu complex, and the antibiotics can be effectively removed in the TC-Cu complex by photocatalytic oxidation.
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http://dx.doi.org/10.13227/j.hjkx.202001213DOI Listing
December 2020

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.

Neural Netw 2021 Mar 23;135:91-104. Epub 2020 Dec 23.

Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA; Center of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA. Electronic address:

Recently, the focus of functional connectivity analysis of human brain has shifted from merely revealing the inter-regional functional correlation over the entire scan duration to capturing the time-varying information of brain networks and characterizing time-resolved reoccurring patterns of connectivity. Much effort has been invested into developing approaches that can track changes in re-occurring patterns of functional connectivity over time. In this paper, we propose a sparse deep dictionary learning method to characterize the essential differences of reoccurring patterns of time-varying functional connectivity between different age groups. The proposed method combines both the interpretability of sparse dictionary learning and the capability of extracting sparse nonlinear higher-level features in the latent space of sparse deep autoencoder. In other words, it learns a sparse dictionary of the original data by considering the nonlinear representation of the data in the encoder layer based on a sparse deep autoencoder. In this way, the nonlinear structure and higher-level features of the data can be captured by deep dictionary learning. The proposed method is applied to the analysis of the Philadelphia Neurodevelopmental Cohort. It shows that there exist essential differences in the reoccurrence patterns of function connectivity between child and young adult groups. Specially, children have more diffusive functional connectivity patterns while young adults possess more focused functional connectivity patterns, and the brain function transits from undifferentiated systems to specialized neural networks with the growth.
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http://dx.doi.org/10.1016/j.neunet.2020.12.007DOI Listing
March 2021

A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.

IEEE Trans Med Imaging 2021 03 2;40(3):951-962. Epub 2021 Mar 2.

With the development of neuroimaging techniques, a growing amount of multi-modal brain imaging data are collected, facilitating comprehensive study of the brain. In this paper, we jointly analyzed functional magnetic resonance imaging (fMRI) collected under different paradigms in order to understand cognitive behaviors of an individual. To this end, we proposed a novel multi-view learning algorithm called structure-enforced collaborative regression (SCoRe) to extract co-expressed discriminative brain regions under the guidance of anatomical structure of the brain. An advantage of SCoRe over its predecessor collaborative regression (CoRe) lies in its incorporation of group structures in the brain imaging data, which makes the model biologically more meaningful. Results from real data analysis has confirmed that by incorporating prior knowledge of brain structure, SCoRe can deliver better prediction performance and is less sensitive to hyper-parameters than CoRe. After validation with simulation experiments, we applied SCoRe to fMRI data collected from the Philadelphia Neurodevelopmental Cohort and adopted the scores from the wide range achievement test (WRAT) to evaluate an individual's cognitive skills. We located 14 relevant brain regions that can efficiently predict WRAT scores and these brain regions were further confirmed by other independent studies.
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http://dx.doi.org/10.1109/TMI.2020.3042786DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925383PMC
March 2021

A study of medial and lateral temporal lobe epilepsy based on stereoelectroencephalography.

Chin Med J (Engl) 2020 Dec 2;134(1):68-72. Epub 2020 Dec 2.

Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.

Background: Patients with temporal lobe epilepsy (TLE) originating from different seizure onset zones had distinct electrophysiological characteristics and surgical outcomes. In this study, we aimed to investigate the relationship between the origin and prognosis of TLE, and the stereoelectroencephalography (SEEG) features.

Methods: Thirty patients with TLE, who underwent surgical treatment in our functional neurosurgery department from January 2016 to December 2017, were enrolled in this study. All patients underwent anterior temporal lobectomy after an invasive pre-operative evaluation with SEEG. Depending on the epileptic focus location, patients were divided into those with medial temporal lobe seizures (MTLS) and those with lateral temporal lobe seizures (LTLS). The Engel classification was used to evaluate operation effectiveness, and the Kaplan-Meier analysis was used to detect seizure-free duration.

Results: The mean follow-up time was 25.7 ± 4.8 months. Effectiveness was 63.3% for Engel I (n = 19), 13.3% for Engel II, 3.3% for Engel III, and 20.0% for Engel IV. According to the SEEG, 60.0% (n = 18) had MTLS, and 40.0% (n = 12) had LTLS. Compared with the MTLS group, the operation age of those with LTLS was significantly greater (26.9 ± 6.9 vs. 29.9 ± 12.5 years, t = -0.840, P = 0.009) with longer epilepsy duration (11.9 ± 6.0 vs. 17.9 ± 12.1 years, t = -1.801, P = 0.038). Patients with MTLS had a longer time interval between ictal onset to seizure (67.3 ± 59.1 s vs. 29.3 ± 24.4 s, t = 2.017, P = 0.008). The most common SEEG ictal pattern was a sharp/spike-wave rhythm in the MTLS group (55.6%) and low-voltage fast activity in the LTLS group (58.3%). Compared with the LTLS group, patients with MTLS had a more favorable prognosis (41.7% vs. 77.8%, P = 0.049). Post-operative recurrence was more likely to occur within three months after the operation for both groups, and there appeared to be a stable long-term outcome.

Conclusion: Patients with MTLS, who accounted for three-fifths of patients with TLE, showed a more favorable surgical outcome.
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http://dx.doi.org/10.1097/CM9.0000000000001256DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862806PMC
December 2020

Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China.

Psychother Psychosom 2021 5;90(2):127-136. Epub 2020 Nov 5.

Department of Neurology, Jincheng People's Hospital, Shanxi Medical University, Jincheng, China.

Background: As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load.

Objective: During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load.

Methods: An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed.

Results: There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; p = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18-1.31; p < 0.01), depression (OR = 1.23; 95% CI 1.17-1.29; p < 0.01), somatization (OR = 1.20; 95% CI 1.14-1.25; p < 0.01), hostility (OR = 1.24; 95% CI 1.18-1.30; p < 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34-1.66; p < 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78-0.89; p < 0.01), subjective support (OR = 0.84; 95% CI 0.80-0.88; p < 0.01), utilization of support (OR = 0.80; 95% CI 0.72-0.88; p < 0.01), social support (OR = 0.90; 95% CI 0.87-0.93; p < 0.01), and global well-being (OR = 0.30; 95% CI 0.22-0.41; p < 0.01) were negatively associated.

Conclusions: In the post-COVID-19 epidemic time, medical and nonmedical workers had similar allostatic load. Psychological distress and abnormal illness behavior were risk factors for it, while social support could relieve it.
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http://dx.doi.org/10.1159/000511823DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705943PMC
March 2021
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