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Thematische Bibliographien / Connectivity of the median set / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Connectivity of the median set“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 31. Juli 2025

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Amany, A. Naem, and I. Ghali Neveen. "Optimizing community detection in social networks using antlion and K-median." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019): 1433–40. https://doi.org/10.11591/eei.v8i4.1196.

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Antlion Optimization (ALO) is one of the latest population based optimization methods that proved its good performance in a variety of applications. The ALO algorithm copies the hunting mechanism of antlions to ants in nature. Community detection in social networks is conclusive to understanding the concepts of the networks. Identifying network communities can be viewed as a problem of clustering a set of nodes into communities. k-median clustering is one of the popular techniques that has been applied in clustering. The problem of clustering network can be formalized as an optimization proble

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Friedrich, M., J. M. Werner, J. P. Steinbach, et al. "PL01.5.A ASSOCIATION BETWEEN RESTING-STATE-NETWORK FUNCTIONAL CONNECTIVITY AND SURVIVAL IN RECURRENT GLIOMAS DIAGNOSED USING FET PET." Neuro-Oncology 26, Supplement_5 (2024): v1. http://dx.doi.org/10.1093/neuonc/noae144.002.

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Abstract BACKGROUND Functional connectivity between glioma-infiltrated brain tissue and remote cortical regions has been linked to overall survival (OS) in patients with newly diagnosed glioblastoma. Here, we studied the association of functional connectivity between tumor and resting-state networks and OS in patients with recurrent gliomas. PATIENTS AND METHODS The study included 82 patients (age range, 26-81 years; median ECOG performance score, 0) with recurrent gliomas (CNS WHO grade 4 glioblastoma, n=57; CNS WHO grade 3 and 4 astrocytoma, n=12; CNS WHO grade 2 and 3 oligodendroglioma, n=1

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Kende, Michael, Sonia Livingstone, Scott Minehane, Michael Minges, Simon Molloy, and George Sciadas. "GLOBAL CONNECTIVTY REPORT 2022. CHAPTER 2. THE JOURNEY TO UNIVERSAL AND MEANINGFUL CONNECTIVITY." SYNCHROINFO JOURNAL 8, no. 3 (2022): 29–37. http://dx.doi.org/10.36724/2664-066x-2022-8-3-29-37.

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The Global Connectivity Report 2022 takes stock of the progress in digital connectivity over the past three decades. It provides a detailed assessment of the current state of connectivity and how close the world is to achieving universal and meaningful connectivity, using a unique analytical framework. It goes on to showcase solutions and good practices to accelerate progress. The second part of the report consists of seven thematic deep dives on infrastructure, affordability, financing, the pandemic, regulation, youth, and data. Chapter 2 relies on the framework for universal and meaningful c

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Chen, Rong, Kyunghun Lee, and Edward H. Herskovits. "Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity." Neuroradiology Journal 33, no. 5 (2020): 393–99. http://dx.doi.org/10.1177/1971400920950694.

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Many brain disorders – such as Alzheimer’s disease, Parkinson’s disease, schizophrenia and autism – are heterogeneous, that is, they may have several subtypes. Traditionally, clinicians have identified subtypes, such as subtypes of psychosis, using clinical criteria. Neuroimaging has the potential to detect subtypes based on objective biomarker-based criteria; however, there are no studies that evaluate the application of combining unsupervised machine learning and anatomical connectivity analysis to accomplish this goal. We propose a computational framework to detect subtypes based on anatomi

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Besiris, D., A. Makedonas, G. Economou, and S. Fotopoulos. "Combining graph connectivity & dominant set clustering for video summarization." Multimedia Tools and Applications 44, no. 2 (2009): 161–86. http://dx.doi.org/10.1007/s11042-009-0277-9.

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Khaniyev, Taghi, Samir Elhedhli, and Fatih Safa Erenay. "Spatial Separability in Hub Location Problems with an Application to Brain Connectivity Networks." INFORMS Journal on Optimization 2, no. 4 (2020): 320–46. http://dx.doi.org/10.1287/ijoo.2019.0031.

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Motivated by the need to solve large hub location problems efficiently and accurately, we discover an important characteristic of optimal solutions to p-hub median problems that we call spatial separability. It refers to the partitioning of the network into allocation clusters with nonoverlapping convex hulls. We illustrate numerically that the property persists over a wide range of randomly generated instances and propose a data-driven approach based on an insight from the property to tackle very large problem sizes. Computational experiments corroborate the effectiveness of the proposed appr

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Silfverhuth, Minna J., Jukka Remes, Tuomo Starck, et al. "Directional connectivity of resting state human fMRI data using cascaded ICA-PDC analysis." Acta Radiologica 52, no. 9 (2011): 1037–42. http://dx.doi.org/10.1258/ar.2011.110262.

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Background Directional connectivity measures, such as partial directed coherence (PDC), give us means to explore effective connectivity in the human brain. By utilizing independent component analysis (ICA), the original data-set reduction was performed for further PDC analysis. Purpose To test this cascaded ICA-PDC approach in causality studies of human functional magnetic resonance imaging (fMRI) data. Material and Methods Resting state group data was imaged from 55 subjects using a 1.5 T scanner (TR 1800 ms, 250 volumes). Temporal concatenation group ICA in a probabilistic ICA and further re

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Fang, Jiliang, Danhong Wang, Qing Zhao, et al. "Brain-Gut Axis Modulation of Acupuncture in Functional Dyspepsia: A Preliminary Resting-State fcMRI Study." Evidence-Based Complementary and Alternative Medicine 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/860463.

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Objective. To explore acupuncture effects on brain functional connectivity in patients with functional dyspepsia (FD).Methods. Eight patients in an acupuncture treatment group and ten healthy adults in the control group participated in the study. Acupuncture effectiveness was evaluated based on changes of the gastrointestinal symptoms, gastric motility measurements, and gastrin levels and comparisons with the control group when appropriate. To investigate functional connectivity changes related to FD and potential modulation after acupuncture, a set of regions of interest (ROIs) were selected

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Karuza, Elisabeth A., Lauren L. Emberson, Matthew E. Roser, Daniel Cole, Richard N. Aslin, and Jozsef Fiser. "Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual Scenes." Journal of Cognitive Neuroscience 29, no. 12 (2017): 1963–76. http://dx.doi.org/10.1162/jocn_a_01182.

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Behavioral evidence has shown that humans automatically develop internal representations adapted to the temporal and spatial statistics of the environment. Building on prior fMRI studies that have focused on statistical learning of temporal sequences, we investigated the neural substrates and mechanisms underlying statistical learning from scenes with a structured spatial layout. Our goals were twofold: (1) to determine discrete brain regions in which degree of learning (i.e., behavioral performance) was a significant predictor of neural activity during acquisition of spatial regularities and

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Wagner, Isabella C., Markus Rütgen, and Claus Lamm. "Pattern similarity and connectivity of hippocampal-neocortical regions support empathy for pain." Social Cognitive and Affective Neuroscience 15, no. 3 (2020): 273–84. http://dx.doi.org/10.1093/scan/nsaa045.

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Abstract Empathy is thought to engage mental simulation, which in turn is known to rely on hippocampal-neocortical processing. Here, we tested how hippocampal-neocortical pattern similarity and connectivity contributed to pain empathy. Using this approach, we analyzed a data set of 102 human participants who underwent functional MRI while painful and non-painful electrical stimulation was delivered to themselves or to a confederate. As hypothesized, results revealed increased pattern similarity between first-hand pain and pain empathy (compared to non-painful control conditions) within the hip

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Kim, Seung Soo, and Kwang Ik Yang. "0643 Machine Learning Model to Predict Depressive Mood Using Graph Theory Analysis of Polysomnography." SLEEP 46, Supplement_1 (2023): A282—A283. http://dx.doi.org/10.1093/sleep/zsad077.0643.

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Abstract Introduction The authors conducted this preliminary study to discover the brain signal features for subjective depressive mood by the method that combines a machine learning approach and a graph theory analysis. Methods The authors retrospectively investigated the records of 13 subjects who had undertaken polysomnography (PSG) and patient health questionnaire-9 (PHQ-9). We divided the data to a training set (10 subjects) and a test set (2 subjects). The predictive modeling was conducted by 3 steps: 1) estimation of the small world coefficient (sigma, omega) of each frequency bands (de

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Rosa, Marcello G. P., Juliana G. M. Soares, Tristan A. Chaplin, et al. "Cortical Afferents of Area 10 in Cebus Monkeys: Implications for the Evolution of the Frontal Pole." Cerebral Cortex 29, no. 4 (2018): 1473–95. http://dx.doi.org/10.1093/cercor/bhy044.

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Abstract Area 10, located in the frontal pole, is a unique specialization of the primate cortex. We studied the cortical connections of area 10 in the New World Cebus monkey, using injections of retrograde tracers in different parts of this area. We found that injections throughout area 10 labeled neurons in a consistent set of areas in the dorsolateral, ventrolateral, orbital, and medial parts of the frontal cortex, superior temporal association cortex, and posterior cingulate/retrosplenial region. However, sites on the midline surface of area 10 received more substantial projections from the

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Seoane, Sara, Cristián Modroño, José Luis González-Mora, and Niels Janssen. "Medial temporal lobe contributions to resting-state networks." Brain Structure and Function 227, no. 3 (2022): 995–1012. http://dx.doi.org/10.1007/s00429-021-02442-1.

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AbstractThe medial temporal lobe (MTL) is a set of interconnected brain regions that have been shown to play a central role in behavior as well as in neurological disease. Recent studies using resting-state functional magnetic resonance imaging (rsfMRI) have attempted to understand the MTL in terms of its functional connectivity with the rest of the brain. However, the exact characterization of the whole-brain networks that co-activate with the MTL as well as how the various sub-regions of the MTL are associated with these networks remains poorly understood. Here, we attempted to advance these

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Ueno, Keita, Keiko Yamada, Masaya Ueda, Yasuo Naito, and Ryouhei Ishii. "Current source density and functional connectivity extracted from resting-state electroencephalography as biomarkers for chronic low back pain." PAIN Reports 10, no. 1 (2025): e1233. https://doi.org/10.1097/pr9.0000000000001233.

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Abstract Introduction: Chronic low back pain (CLBP) is a global health issue, and its nonspecific causes make treatment challenging. Understanding the neural mechanisms of CLBP should contribute to developing effective therapies. Objectives: To compare current source density (CSD) and functional connectivity (FC) extracted from resting electroencephalography (EEG) between patients with CLBP and healthy controls and to examine the correlations between EEG indices and symptoms. Methods: Thirty-four patients with CLBP and 34 healthy controls in an open data set were analyzed. Five-minute resting-

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Park, H., J. Cha, H. Kim, and E. Joo. "0724 Altered Brain Network Organization in Patients With Obstructive Sleep Apnea." Sleep 43, Supplement_1 (2020): A275—A276. http://dx.doi.org/10.1093/sleep/zsaa056.720.

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Abstract Introduction Previous functional MRI (fMRI) studies have reported altered brain networks in patients with obstructive sleep apnea (OSA), but the extent of such abnormal connectivity was inconsistent across studies. Moreover, despite the important role of the cerebellum in respiration and OSA, connections of the cerebellum to the cerebral cortex have been rarely assessed. Here, we investigated functional network changes in cerebral and cerebellar cortices of OSA patients. Methods Resting-state fMRI, polysomnography and neuropsychological (NP) tests data were acquired from 74 treatment

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Sun, Jiannan, Ke Yan, Yongsheng Zhu, and Jun Hong. "A High-Similarity Modeling Method for Low-Porosity Porous Material and Its Application in Bearing Cage Self-Lubrication Simulation." Materials 14, no. 18 (2021): 5449. http://dx.doi.org/10.3390/ma14185449.

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The porous oil-containing cage achieves the storage, spillage, and suction of lubricating oil by its micro-pore structure, thus ensuring the self-lubricating performance of the bearing. Carrying out fast and accurate modeling of the cage microscopic pore structure is the key to the analysis of the self-lubricating mechanism of bearings. In response to the issues where current modeling methods of porous materials have a low similarity of pore distribution, morphology, structure, and size characteristics, and the transition of pore surfaces is sharp, this paper proposed a modeling method of a hi

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Kassab, G. S., C. A. Rider, N. J. Tang, and Y. C. Fung. "Morphometry of pig coronary arterial trees." American Journal of Physiology-Heart and Circulatory Physiology 265, no. 1 (1993): H350—H365. http://dx.doi.org/10.1152/ajpheart.1993.265.1.h350.

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To establish a mathematical model of the tree like arteries for the purpose of hemodynamic analysis, a complete set of morphometric data of pig coronary arteries is presented. For the purpose of mathematical modeling, three innovations in morphometry are introduced: 1) a rule for assigning the order numbers of the vessels on the basis of diameter ranges, 2) a connectivity matrix to describe asymmetric branching, and 3) a measurement of the fraction of vessel segments connected in series. The morphometric measurements were made with the silicone elastomer-casting method. Data on smaller vessels

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Rakka, Maria, António Godinho, Covadonga Orejas, and Marina Carreiro-Silva. "Embryo and larval biology of the deep-sea octocoral Dentomuricea aff. meteor under different temperature regimes." PeerJ 9 (August 2, 2021): e11604. http://dx.doi.org/10.7717/peerj.11604.

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Deep-sea octocorals are common habitat-formers in deep-sea ecosystems, however, our knowledge on their early life history stages is extremely limited. The present study focuses on the early life history of the species Dentomuricea aff. meteor, a common deep-sea octocoral in the Azores. The objective was to describe the embryo and larval biology of the target species under two temperature regimes, corresponding to the minimum and maximum temperatures in its natural environment during the spawning season. At temperature of 13 ±0.5 °C, embryos of the species reached the planula stage after 96h an

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Do, Thi Huong Lan, Caroline Lohoff, Ferris Jung, et al. "Cancer Pathway Connectivity Resolved By Drug Perturbation and RNA Sequencing." Blood 144, Supplement 1 (2024): 3584. https://doi.org/10.1182/blood-2024-201366.

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Characterization of cancer subgroups is largely based on omics profiling of patient cohorts and studying inter-patient heterogeneity. However, linking molecular differences to a function has been limited due to their static nature at steady-state. Here, we show that gene expression profiling (GEP) of responses to targeted pathway perturbation in primary chronic lymphocytic leukemia (CLL) samples offers an additional molecular layer for disease classification. We selected 108 CLL patient samples with genetic annotation and exposed them ex-vivo to small-molecule inhibitors used clinically (ibrut

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Passiatore, R., L. Antonucci, T. Deramus, et al. "Age-related network connectivity pattern changes are associated with risk for psychosis." European Psychiatry 65, S1 (2022): S316. http://dx.doi.org/10.1192/j.eurpsy.2022.805.

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Introduction Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be informative regarding psychosis onset. Objectives We defined neurotypical age-related FC trajectories and hypothesized that FC of individuals at familial and clinical high risk (HR) for psychosis deviates from FC of neurotypical controls (NC). Methods We analyzed two independent cohorts, of (a) 356

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Nyqvist, D., J. Elghagen, M. Heiss, and O. Calles. "An angled rack with a bypass and a nature-like fishway pass Atlantic salmon smolts downstream at a hydropower dam." Marine and Freshwater Research 69, no. 12 (2018): 1894. http://dx.doi.org/10.1071/mf18065.

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Hydropower dams disrupt longitudinal connectivity and cause fragmentation of river systems, which has led to declines in migratory fish species. Atlantic salmon smolts rely on intact longitudinal connectivity to move downstream from rearing habitats in freshwater to feeding grounds at sea. Smolts often suffer increased mortality and delays when they encounter hydropower plants during their downstream migration. Currently, there are few examples of downstream passage solutions that allow safe and timely passage. We assessed the performance of two passage solutions at a hydropower dam, namely, a

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Bhattacharyya, Rupam, Min Jin Ha, Qingzhi Liu, Rehan Akbani, Han Liang, and Veerabhadran Baladandayuthapani. "Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome." JCO Clinical Cancer Informatics, no. 4 (September 2020): 399–411. http://dx.doi.org/10.1200/cci.19.00140.

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PURPOSE Personalized network inference on diverse clinical and in vitro model systems across cancer types can be used to delineate specific regulatory mechanisms, uncover drug targets and pathways, and develop individualized predictive models in cancer. METHODS We developed TransPRECISE (personalized cancer-specific integrated network estimation model), a multiscale Bayesian network modeling framework, to analyze the pan-cancer patient and cell line interactome to identify differential and conserved intrapathway activities, to globally assess cell lines as representative models for patients, a

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Styrmisdottir, Edda Lind, Patrick Scanlon, Douglas Hanniford, et al. "Melanoma recurrence risk stratification using Bayesian systems biology modeling." Journal of Clinical Oncology 31, no. 15_suppl (2013): 9089. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.9089.

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9089 Background: Estimating the risk of recurrence in patients with melanoma is extremely challenging. Standard of care is AJCC staging system, but the accuracy and robustness of this method is still under development. We conducted a proof of concept study exploring the use of machine-learned Bayesian Belief Networks (ml-BBNs) using a miRNA profiled cohort of melanoma patients with extended follow up to create Bayesian Biological Systems Models (BBSMs). We sought to determine if ml-BBNs could describe the biological system and if we could use the model to identify new cases with higher risk of

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Trevisani, Sebastiano, and Marco Cavalli. "Topography-based flow-directional roughness: potential and challenges." Earth Surface Dynamics 4, no. 2 (2016): 343–58. http://dx.doi.org/10.5194/esurf-4-343-2016.

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Abstract. Surface texture analysis applied to high-resolution digital terrain models (HRDTMs) is a promising approach for extracting useful fine-scale morphological information. Surface roughness, considered here as a synonym of surface texture, can have a discriminant role in the detection of different geomorphic processes and factors. Very often, the local morphology presents, at different scales, anisotropic characteristics that could be taken into account when calculating or measuring surface roughness. The high morphological detail of HRDTMs permits the description of different aspects of

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Rousseau, Pierre-François, Sarah Boukezzi, René Garcia, Thierry Chaminade, and Stéphanie Khalfa. "Cracking the EMDR code: Recruitment of sensory, memory and emotional networks during bilateral alternating auditory stimulation." Australian & New Zealand Journal of Psychiatry 54, no. 8 (2020): 818–31. http://dx.doi.org/10.1177/0004867420913623.

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Introduction: The inability to extinguish a conditioned fear is thought to be at the core of post-traumatic stress disorder. Eye movement desensitization and reprocessing therapy has been efficacious for post-traumatic stress disorder, but the brain mechanisms underlying the effect are still unknown. The core effect of eye movement desensitization and reprocessing therapy seems to rely on the simultaneous association of bilateral alternating stimulation and the recall of the traumatic memory. To shed light on how eye movement desensitization and reprocessing therapy functions, we aimed to high

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Tei, Shisei, Jukka-Pekka Kauppi, Kathryn F. Jankowski, et al. "Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment." Proceedings of the National Academy of Sciences 117, no. 8 (2020): 4385–91. http://dx.doi.org/10.1073/pnas.1918081117.

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Social-anxiety disorder involves a fear of embarrassing oneself in the presence of others. Taijin-kyofusho (TKS), a subtype common in East Asia, additionally includes a fear of embarrassing others. TKS individuals are hypersensitive to others’ feelings and worry that their physical or behavioral defects humiliate others. To explore the underlying neurocognitive mechanisms, we compared TKS ratings with questionnaire-based empathic disposition, cognitive flexibility (set-shifting), and empathy-associated brain activity in 23 Japanese adults. During 3-tesla functional MRI, subjects watched video

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Kim, Young Goo, Song E. Kim, Jihye Lee, Sungeun Hwang, Seung-Schik Yoo, and Hyang Woon Lee. "Neuromodulation Using Transcranial Focused Ultrasound on the Bilateral Medial Prefrontal Cortex." Journal of Clinical Medicine 11, no. 13 (2022): 3809. http://dx.doi.org/10.3390/jcm11133809.

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: Transcranial focused ultrasound (tFUS) is a promising technique of non-invasive brain stimulation for modulating neuronal activity with high spatial specificity. The medial prefrontal cortex (mPFC) has been proposed as a potential target for neuromodulation to prove emotional and sleep qualities. We aim to set up an appropriate clinical protocol for investigating the effects of tFUS stimulation of the bilateral mPFC for modulating the function of the brain-wide network using different sonication parameters. Seven participants received 20 min of 250 kHz tFUS to the bilateral mPFC with excitat

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Trevisani, S., and M. Cavalli. "Topography-based flow-directional roughness: potential and challenges." Earth Surface Dynamics Discussions 3, no. 4 (2015): 1399–444. http://dx.doi.org/10.5194/esurfd-3-1399-2015.

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Abstract. Surface texture analysis applied to High Resolution Digital Terrain Models (HRDTMs) is a promising approach for extracting useful fine-scale morphological information. Surface roughness, considered here as a synonym of surface texture, can have a discriminant role in the detection of different geomorphic processes and factors. Very often, the local morphology presents, at different scales, anisotropic characteristics that could be taken into account when calculating or measuring surface roughness. The high morphological detail of HRDTMs permits the description of different aspects of

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Ge, Shengyang, Qingfeng Hu, Yijun Guo, Ke Xu, Guowei Xia, and Chuanyu Sun. "Potential Alterations of Functional Connectivity Analysis in the Patients with Chronic Prostatitis/Chronic Pelvic Pain Syndrome." Neural Plasticity 2021 (May 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/6690414.

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Background. Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is one of the most common diseases in urology, but its pathogenesis remains unclear. As a kind of chronic pain which the patients suffered for more than 3 months, we investigated the influence on patients’ brain functional connectivity in resting state. Methods. We recruited a cohort of 18 right-handed male patients with CP/CPPS and 21 healthy male right-handed age-matched controls. Their resting-state fMRI data and structural MRI data were preprocessed and processed by RESTPlus V1.22. To assess the integrity of the default

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Usenko, V., O. Kodak, V. Nikolaenko, and I. Usenko. "OPTIMIZATION OF PARALLEL LINKS IN REDUNDANT UTILITY STRUCTURES." Municipal economy of cities 1, no. 168 (2022): 58–63. http://dx.doi.org/10.33042/2522-1809-2022-1-168-58-63.

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The publication states that an important problem in the design, operation and reconstruction of various networks of engineering infrastructure is to determine the reliability of structurally complex systems. Modeling the reliability of technical systems seems to be a rather complex task. It is emphasized that the ways of rational redundancy of a complex structure of systems presuppose the well-known method of minimal paths and connections. The problem of the optimal arrangement of a system with a redundant structure has certain limitations in accordance with the available resources, such as th

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Spreng, R. Nathan, and Cheryl L. Grady. "Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network." Journal of Cognitive Neuroscience 22, no. 6 (2010): 1112–23. http://dx.doi.org/10.1162/jocn.2009.21282.

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The ability to rise above the present environment and reflect upon the past, the future, and the minds of others is a fundamentally defining human feature. It has been proposed that these three self-referential processes involve a highly interconnected core set of brain structures known as the default mode network (DMN). The DMN appears to be active when individuals are engaged in stimulus-independent thought. This network is a likely candidate for supporting multiple processes, but this idea has not been tested directly. We used fMRI to examine brain activity during autobiographical rememberi

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Trevisan, Nicolò, Giulia Cattarinussi, Daniele Olivo, et al. "Neural Correlates of Antisocial Behavior: The Victim’s Perspective." Brain Sciences 13, no. 3 (2023): 474. http://dx.doi.org/10.3390/brainsci13030474.

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Antisocial behavior involves actions that disregard the basic rights of others and may represent a threat to the social system. The neural processes associated with being subject to antisocial behavior, including social victimization, are still unknown. In this study, we used a social interaction task during functional magnetic resonance imaging to investigate the neural bases of social victimization. Brain activation and functional connectivity (FC) were estimated and correlated with the Big 5 Questionnaire, Temperament Evaluation in Memphis, Pisa and San Diego (TEMPS-M), and a Questionnaire

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OKOGBENIN, Clement Omongbale PharmD, Ehiokioya Emmanuel POGOSON, Esther O. OKOGBENIN, and Tijani Idris Ahmad MBBS PhD OSENI. "Determination of Patient Waiting Time and Associated Factors at General Out-Patient Department (GOPD) of Irrua Specialist Teaching Hospital (ISTH), Irrua, Nigeria - An Electronic Medical Record Setting." International Journal of Advanced Academic Research 10, no. 7 (2024): 121–36. https://doi.org/10.5281/zenodo.14062207.

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<em>Background:</em> <em>Prolonged waiting typically affects patients’ satisfaction and may deter subsequent utilization of healthcare facility. There is a paucity of information regarding waiting time in hospitals where the Electronic medical record is been utilized particularly from the patients’ viewpoint. The aim of this study was to assess the waiting time and associated factors at the GOPD clinic of Irrua Specialists Teaching Hospital, (ISTH) where the EMR is fully adopted and operational.</em> <em> </em> <em>Subjects and Methods:</em> <em>An institutional-based descript

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Kim, Hyun, Cheolhong Min, Byeongha Jeong, and Kyoung J. Lee. "Deciphering clock cell network morphology within the biological master clock, suprachiasmatic nucleus: From the perspective of circadian wave dynamics." PLOS Computational Biology 18, no. 6 (2022): e1010213. http://dx.doi.org/10.1371/journal.pcbi.1010213.

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The biological master clock, suprachiasmatic nucleus (of rat and mouse), is composed of ~10,000 clock cells which are heterogeneous with respect to their circadian periods. Despite this inhomogeneity, an intact SCN maintains a very good degree of circadian phase (time) coherence which is vital for sustaining various circadian rhythmic activities, and it is supposedly achieved by not just one but a few different cell-to-cell coupling mechanisms, among which action potential (AP)-mediated connectivity is known to be essential. But, due to technical difficulties and limitations in experiments, so

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Fontan, Lorena, Matthew Durant, Rebecca Goldstein, et al. "Mapping MALT1 Signaling Connectivity Unveils Novel B-Cell Feedback Mechanisms Directing Assembly of Potent Anti-Lymphoma Regimens." Blood 134, Supplement_1 (2019): 173. http://dx.doi.org/10.1182/blood-2019-130516.

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MALT1 inhibition is a promising strategy against B-cell receptor (BCR)-dependent lymphomas including ABC DLBCL, CLL and MCL. MALT1 is downstream of the most frequently mutated genes in the BCR and Toll-like receptor (TLR) pathways. MALT1 inhibitors are active in Ibrutinib-resistant BTK and PLCγ2 mutant CLL or CARD11 mutant ABC DLBCL. Therefore, MALT1 inhibitors, which recently began first in man clinical testing, have the potential to cover a larger patient population than drugs against more upstream targets in the BCR pathway including BTK inhibitors. However, activity of inhibitors targeting

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Greene, Patrick, Mike Howard, Rajan Bhattacharyya, and Jean-Marc Fellous. "Hippocampal Anatomy Supports the Use of Context in Object Recognition: A Computational Model." Computational Intelligence and Neuroscience 2013 (2013): 1–19. http://dx.doi.org/10.1155/2013/294878.

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The human hippocampus receives distinct signals via the lateral entorhinal cortex, typically associated with object features, and the medial entorhinal cortex, associated with spatial or contextual information. The existence of these distinct types of information calls for some means by which they can be managed in an appropriate way, by integrating them or keeping them separate as required to improve recognition. We hypothesize that several anatomical features of the hippocampus, including differentiation in connectivity between the superior/inferior blades of DG and the distal/proximal regio

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Shang, C. Y., Y. H. Wu, S. S. Gau, and W. Y. Tseng. "Disturbed microstructural integrity of the frontostriatal fiber pathways and executive dysfunction in children with attention deficit hyperactivity disorder." Psychological Medicine 43, no. 5 (2012): 1093–107. http://dx.doi.org/10.1017/s0033291712001869.

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BackgroundAttention deficit hyperactivity disorder (ADHD) is recognized as an early-onset neuropsychiatric disorder with executive dysfunctions and neurobiological deficits. The authors compared executive functions and microstructural integrity of the frontostriatal circuit in children with ADHD and typically developing children.MethodWe assessed 25 children with ADHD and 25 age-, sex-, handedness- and intelligence-matched typically developing children by using psychiatric interviews, the Wechsler Intelligence Scale for Children – third edition, and the tasks involving executive functions in t

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Lee, Lim-Jung. "Exterior spaces in urban development projects for public realization Selecting Evaluation Items." Korean Association of Urban Policies 14, no. 4 (2023): 125–41. http://dx.doi.org/10.21447/jusre.2023.14.4.7.

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The purpose of this study was to recognize the importance of external space planning in urban development projects and to establish an evaluation item system for improving urban landscapes. It can be used as a guide to set evaluation items for exterior space planning considering sustainable urban development and to systematically inspect exterior space. As a research method, research literature and laws on landscape planning and review types were reviewed, and landscape checklist items were reviewed. The reviewed items were synthesized and refined by reclassifying and reviewing the contents th

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Naem, Amany A., and Neveen I. Ghali. "Optimizing community detection in social networks using antlion and K-median." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019). http://dx.doi.org/10.11591/eei.v8i4.1196.

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Antlion Optimization (ALO) is one of the latest population based optimization methods that proved its good performance in a variety of applications. The ALO algorithm copies the hunting mechanism of antlions to ants in nature. Community detection in social networks is conclusive to understanding the concepts of the networks. Identifying network communities can be viewed as a problem of clustering a set of nodes into communities. k-median clustering is one of the popular techniques that has been applied in clustering. The problem of clustering network can be formalized as an optimization proble

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Hariri, Saeed, Martin Plus, Mickael Le Gac, Véronique Séchet, Marta Revilla, and Marc Sourisseau. "Advection and Composition of Dinophysis spp. Populations Along the European Atlantic Shelf." Frontiers in Marine Science 9 (July 14, 2022). http://dx.doi.org/10.3389/fmars.2022.914909.

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The main objective was to study relationships between the regional biogeography of Dinophysis species and water masses circulation along the European Atlantic coast. Hydrodynamic connectivities were estimated with a Lagrangian approach. Available and validated physical hindcasts from regional hydrodynamical models, with different resolutions were used. The target area is the Bay of Biscay (NE Atlantic) and connectivity was evaluated between a set of spatially distributed stations and during temporally specified periods. Different indexes related to connectivity properties such as mean, median,

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Teng, Yuke, Tao Yin, Yue Yang, et al. "The Role of Medial Prefrontal Cortex in Acupuncture Treatment for Functional Dyspepsia." Frontiers in Neuroscience 16 (April 7, 2022). http://dx.doi.org/10.3389/fnins.2022.801899.

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Acupuncture is an effective therapy for functional dyspepsia (FD). However, the efficacy of acupuncture in the treatment of FD varies among individuals in clinical practice. This study aimed to reveal the brain response patterns in acupuncture higher response/lower response FD patients. Firstly, we performed a within-group comparison of brain function activity before and after acupuncture treatment in 115 FD patients and analyzed the correlation between brain function activity changes and clinical improvements. Secondly, 115 subjects were divided into the acupuncture higher response group or t

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Le Petit, Marine, Francis Eustache, Joy Perrier, Vincent De La Sayette, Béatrice Desgranges, and Mickaël Laisney. "Functional connectivity of the medial prefrontal cortex related to mindreading abilities." Cerebral Cortex Communications, July 31, 2022. http://dx.doi.org/10.1093/texcom/tgac032.

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Abstract The medial prefrontal cortex is a key region of mindreading belonging to the mentalizing system, a set of brain areas underlying mental state inference based on reasoning on social concepts. The aim of this study was to characterize the functional connectivity between regions involved in mindreading, and to highlight the processes it underpins, focusing on the dorsal and ventral parts of the medial prefrontal cortex. We analyzed resting-state functional magnetic resonance imaging of 56 healthy volunteers, to study the relationship between mindreading abilities and functional connectiv

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Smith, Nathan R., Shabeeb Ameen, Sierra N. Miller, et al. "The neuroanatomical organization of the hypothalamus is driven by spatial and topological efficiency." Frontiers in Systems Neuroscience 18 (August 5, 2024). http://dx.doi.org/10.3389/fnsys.2024.1417346.

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The hypothalamus in the mammalian brain is responsible for regulating functions associated with survival and reproduction representing a complex set of highly interconnected, yet anatomically and functionally distinct, sub-regions. It remains unclear what factors drive the spatial organization of sub-regions within the hypothalamus. One potential factor may be structural connectivity of the network that promotes efficient function with well-connected sub-regions placed closer together geometrically, i.e., the strongest axonal signal transferred through the shortest geometrical distance. To emp

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Duan, Ying, Zilu Ma, Pei-Jung Tsai, et al. "Frontostriatal regulation of brain circuits contributes to flexible decision making." Neuropsychopharmacology, February 14, 2025. https://doi.org/10.1038/s41386-025-02065-8.

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Abstract Deficits in behavioral or cognitive flexibility that are linked to altered activity in both cortical and subcortical brain regions, are often observed across multiple neuropsychiatric disorders. The medial prefrontal cortex (mPFC)-nucleus accumbens (NAc) pathway in rats plays a critical role in flexible control of behavior. However, the modulation of this pathway on activity and functional connectivity with the rest of the brain remains unclear. In this study, we first confirmed the role of the mPFC-NAc pathway in behavioral flexibility using a set-shifting task in rats and then evalu

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Grassmann, Michael, Stephan Fuhrmann, and Thomas W. Guenther. "Assurance quality, disclosed connectivity of the capitals and information asymmetry – An interaction analysis for the case of integrated reporting." Meditari Accountancy Research, October 19, 2021. http://dx.doi.org/10.1108/medar-11-2020-1087.

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Purpose Credibility concerns regarding integrated reports can harm the intended decrease of information asymmetry between a firm and its investors. Therefore, it is crucial to examine whether voluntary third-party assurance enhances the credibility of integrated reports and, thus, decreases information asymmetry. Furthermore, this study aims to investigate the interaction effect between assurance quality and the disclosed connectivity of the capitals, a distinguishing feature of integrated reports. Design/methodology/approach Content analysis is performed of the 176 assurance statements includ

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Sun, Kaijia, Haixiang Wang, Yunxian Bai, Wenjing Zhou, and Liang Wang. "MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation." Frontiers in Neuroscience 15 (June 14, 2021). http://dx.doi.org/10.3389/fnins.2021.652841.

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ProposeDirected cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single pulse electrical stimulation (SPES), has been widely used to map the normal and abnormal brain effective network. However, automated processing of CCEP datasets and visualization of connectivity results remain challenging for researchers and clinicians. In this study, we develop a Matlab toolbox named MRIES (Mapping the Responses to Intracranial Electrical Stimulation) to automatically process

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Fousekis, Panos. "How does fear spread across asset classes? Evidence from quantile connectedness." Studies in Economics and Finance, September 15, 2023. http://dx.doi.org/10.1108/sef-07-2023-0408.

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Purpose This study aims to investigate the connectivity among four principal implied volatility (“fear”) markets in the USA. Design/methodology/approach The empirical analysis relies on daily data (“fear gauge indices”) for the period 2017–2023 and the quantile vector autoregressive (QVAR) approach that allows connectivity (that is, the network topology of interrelated markets) to be quantile-dependent and time-varying. Findings Extreme increases in fear are transmitted with higher intensity relative to extreme decreases in it. The implied volatility markets for gold and for stocks are the mai

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Gómez-A, Alexander, Carol A. Dannenhoffer, Amanda Elton, et al. "Altered Cortico-Subcortical Network After Adolescent Alcohol Exposure Mediates Behavioral Deficits in Flexible Decision-Making." Frontiers in Pharmacology 12 (November 29, 2021). http://dx.doi.org/10.3389/fphar.2021.778884.

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Behavioral flexibility, the ability to modify behavior according to changing conditions, is essential to optimize decision-making. Deficits in behavioral flexibility that persist into adulthood are one consequence of adolescent alcohol exposure, and another is decreased functional connectivity in brain structures involved in decision-making; however, a link between these two outcomes has not been established. We assessed effects of adolescent alcohol and sex on both Pavlovian and instrumental behaviors and resting-state functional connectivity MRI in adult animals to determine associations bet

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Salvador, Raymond, Paola Fuentes-Claramonte, María Ángeles García-León, et al. "Regularized Functional Connectivity in Schizophrenia." Frontiers in Human Neuroscience 16 (May 11, 2022). http://dx.doi.org/10.3389/fnhum.2022.878028.

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Regularization may be used as an alternative to dimensionality reduction when the number of variables in a model is much larger than the number of available observations. In a recent study from our group regularized regression was employed to quantify brain functional connectivity in a sample of healthy controls using a brain parcellation and resting state fMRI images. Here regularization is applied to evaluate resting state connectivity abnormalities at the voxel level in a sample of patients with schizophrenia. Specifically, ridge regression is implemented with different degrees of regulariz

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Schaper, Frederic L. W. V. J., Janne Nordberg, Alexander L. Cohen, et al. "Mapping Lesion-Related Epilepsy to a Human Brain Network." JAMA Neurology, July 3, 2023. http://dx.doi.org/10.1001/jamaneurol.2023.1988.

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ImportanceIt remains unclear why lesions in some locations cause epilepsy while others do not. Identifying the brain regions or networks associated with epilepsy by mapping these lesions could inform prognosis and guide interventions.ObjectiveTo assess whether lesion locations associated with epilepsy map to specific brain regions and networks.Design, Setting, and ParticipantsThis case-control study used lesion location and lesion network mapping to identify the brain regions and networks associated with epilepsy in a discovery data set of patients with poststroke epilepsy and control patients

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