bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diffusion MRI of the Unfolded Hippocampus
Authors: Hussain Uzair , DeKraker Jordan , Rajakumar Nagalingam , Baron Corey A. , Khan Ali R. 
Published: April 2020

AbstractThe hippocampus is implicated in numerous neurological disorders and the ability to detect subtle or focal hippocampal abnormalities earlier in disease progression could significantly improve the treatment of patients. Ex vivo studies with ultra-high field have revealed that diffusion MRI (dMRI) can reveal microstructural variations within the hippocampal subfields and lamina, and may also be sensitive to intra-hippocampal pathways. However, translation to lower resolution in vivo dMRI studies of the hippocampus is challenging due to its complicated geometry. One novel way to overcome some of these obstacles is by transforming the usual Cartesian coordinates in an MRI image to coordinates that are crafted to curve themselves according to the complicated geometry of the hippocampus. This procedure allows us to virtually unfold the hippocampus into a thin sheet. In this work, we introduce an algorithm to map diffusion MRI data to this sheet, allowing us to overcome the difficulties associated with the hippocampus’ complicated geometry. We demonstrate how our method can be readily integrated into existing implementations of traditional tractography methods and how it leads to enhancements in the resulting tracts. Further, our results on high quality in vivo dMRI acquisitions show that unfolding the hippocampus leads to a more anatomically plausible modelling of the connectivity of the hippocampus as probed by probabilistic tractography, revealing key elements of the polysynaptic pathway and anterior-posterior connectivity gradients.
Comparative analysis of the modulation of perineuronal nets in the prefrontal cortex of rats during protracted withdrawal from cocaine, heroin and sucrose self-administration
Authors: Roura-Martínez David , Díaz-Bejarano Paula , Ucha Marcos , Ambrosio Emilio , Higuera-Matas Alejandro 
Published: April 2020

ABSTRACTRelapse into drug use is a significant problem for people recovering from addiction. The ability that conditioned cues have to reinstate and reinvigorate drug-seeking is potentiated over time (incubation of seeking), posing an additional difficulty for maintaining abstinence. While the prefrontal cortex has been involved in the incubation phenomenon and the extracellular matrix, perineuronal nets (PNN) in particular, may play a vital role in brain plasticity associated to drug relapse, there are no comparative analyses between different drug classes and natural reinforcers. Here, we compare the effects of early (1 day) and protracted (30 days) withdrawal from to cocaine, heroin and sucrose self-administration on the PNN content of different territories of the prefrontal cortex of male Lewis rats. Our results show that cocaine self-administration and protracted withdrawal decreased PNN content in the prelimbic cortex. Also, heroin self-administration increased PNN content in the infralimbic cortex, but this effect was lost after 30 days of withdrawal. Heroin self-administration also decreased PNNs in the insula, an effect that remained even after protracted withdrawal from the drug. Finally, the self-administration of sucrose-sweetened water decreased PNN content in the dorsomedial prefrontal cortex and increased PNNs in the insular cortex, which was still evident after protracted withdrawal. Our results show that three different rewards with specific pharmacological and physiological actions differentially modulate PNNs in specific areas of the rodent prefrontal cortex with potential implications for the incubation of seeking phenomenon.
Cell – ECM interactions play distinct and essential roles at multiple stages during the development of the aortic arch
Authors: Warkala Michael , Chen Dongying , Jubran Ali , Ramirez AnnJosette , Schonning Michael , Wang Xia , Zhao Huaning , Astrof Sophie 
Published: April 2020

RationaleDefects in the morphogenesis of the 4thpharyngeal arch arteries (PAAs) give rise to lethal birth defects. Understanding genes and mechanisms regulating PAA formation will provide important insights into the etiology and treatments for congenital heart disease.ObjectiveCell-ECM interactions play essential roles in the morphogenesis of PAAs and their derivatives, the aortic arch artery (AAA) and its major branches; however, their specific functions are not well-understood. Previously, we demonstrated that integrin α5β1 and fibronectin (Fn1) expressed in theIsl1lineages regulate PAA formation. The objective of these studies was to investigate cellular mechanisms by which integrin α5β1 and Fn1 regulate AAA morphogenesis.Methods and ResultsUsing temporal lineage tracing, whole-mount confocal imaging, and quantitative analysis of the second heart field (SHF) and endothelial cell (EC) dynamics, we show that the majority of PAA EC progenitors arise by E7.5 in the SHF and populate pharyngeal arch mesenchyme between E7.5 and E9.5. Consequently, SHF-derived ECs in the pharyngeal arches become organized into a uniform plexus of small blood vessels, which becomes remodeled into the PAAs between 31 – 35 somites. The remodeling of the vascular plexus is orchestrated by signals dependent on pharyngeal ECM microenvironment extrinsic to the endothelium. Conditional ablation of integrin α5β1 or Fn1 in the Isl1 lineages showed that signaling by the ECM regulates AAA morphogenesis at multiple steps: 1) the recruitment of the SHF-derived ECs into the pharyngeal arches, 2) the remodeling of the uniform EC plexus in the 4tharches into the PAAs; and 3) differentiation of neural crest-derived cells abutting the PAA endothelium into vascular smooth muscle cells.ConclusionsPAA formation is a multi-step process entailing dynamic contribution of SHF-derived ECs to pharyngeal arches, the remodeling of endothelial plexus into the PAAs, and the remodeling of the PAAs into the AAA and its major branches. Cell-ECM interactions regulated by integrin α5β1 and Fn1 play essential roles at each of these developmental stages.
Neuronal adaptation in the course of the prolonged task improves visual stimuli processing
Authors: Maksimenko Vladimir , Kuc Alexander , Frolov Nikita S. , Hramov Alexander , Pisarchik Alexander , Lebedev Mikhail 
Published: April 2020

AbstractBrain optimally utilizes resources to resist mental fatigue during the prolonged period of cognitive activity. Neural mechanisms underlying long-term cognitive performance remain unknown. We show that during the 40-minutes visual stimuli classification task, subjects improve behavioral performance in terms of response time and correctness. We observe that the prestimulusθandαpower grows during the experiment manifesting the mental fatigue. The prestimulusβpower, in its turn, increases locally in the region, engaged in the ongoing stimulus processing, that may reflect the neuronal adaptation. Our results evidence that the neuronal adaptation is enhanced in the course of the experiment reducing the cognitive demands required to activate the stimulus-related brain regions.
The missing role of gray matter in studying brain controllability
Authors: Jamalabadi Hamidreza , Zuberer Agnieszka , Kumar Vinod Jangir , Li Meng , Alizadeh Sarah , Moradi Ali Amani , Gaser Christian , Esterman Michael , Walter Martin 
Published: April 2020

1AbstractBrain controllability properties are normally derived from the white matter fiber tracts in which the neural substrate of the actual energy consumption, namely the gray matter, has been widely ignored. Here, we study the relationship between gray matter volume of regions across the whole cortex and their respective control property derived from the structural architecture of the white matter fiber tracts. The data suggests that the ability of white fiber tracts to exhibit control at specific nodes not only depends on the connection strength of the structural connectome but additionally strongly depends on gray matter volume at the host nodes. Our data indicates that connectivity strength and gray matter volume interact with respect to the brain’s control properties, such that gray matter exerts the great impact in regions with high structural connectivity. Disentangling effects of the regional gray matter volume and connectivity strength, we found that frontal and sensory areas play crucial roles in controllability. Together these results suggest that structural and regional properties of the white matter and gray matter provide complementary information in studying the control properties of the intrinsic structural and functional architectural of the brain.
Effect ofphyBandphyCloss-of-function mutations on the wheat transcriptome under short and long day photoperiods
Authors: Kippes Nestor , VanGessel Carl , Hamilton James , Akpinar Ani , Budak Hikmet , Dubcovsky Jorge , Pearce Stephen 
Published: April 2020

AbstractBackgroundPhotoperiod signals provide important cues by which plants regulate their growth and development in response to predictable seasonal changes. Phytochromes, a family of red and far-red light receptors, play critical roles in regulating flowering time in response to changing photoperiods. A previous study showed that loss-of-function mutations in eitherPHYBorPHYCresult in large delays in heading time and in the differential regulation of a large number of genes in wheat plants grown in an inductive long day (LD) photoperiod.ResultsWe found that under non-inductive short-day (SD) photoperiods,phyB-null andphyC-null mutants were taller, had a reduced number of tillers, longer and wider leaves, and headed later than wild-type plants. Unexpectedly, both mutants flowered earlier in SD than LD, the inverse response to that of wild-type plants. We observed a larger number of differentially expressed genes between mutants and wild-type under SD than under LD, and in both cases, the number was larger forphyBthan forphyC. We identified subsets of differentially expressed and alternatively spliced genes that were specifically regulated byPHYBandPHYCin either SD or LD photoperiods, and a smaller set of genes that were regulated in both photoperiods. We observed significantly higher transcript levels of the flowering promoting genesVRN-A1,PPD-B1andGIGANTEAin thephy-null mutants in SD than in LD, which suggests that they could contribute to the earlier flowering of thephy-null mutants in SD than in LD.ConclusionsOur study revealed an unexpected reversion of the wheat LD plants into SD plants in thephyB-null andphyC-null mutants and identified candidate genes potentially involved in this phenomenon. Our RNA-seq data provides insight into light signaling pathways in inductive and non-inductive photoperiods and a set of candidate genes to dissect the underlying developmental regulatory networks in wheat.
A Versatile Oblique Plane Microscope for Large-Scale and High-Resolution Imaging of Subcellular Dynamics
Authors: Sapoznik Etai , Chang Bo-Jui , Huh Jaewon , Ju Robert J. , Azarova Evgenia V. , Pohlkamp Theresa , Welf Erik S. , Broadbent David , Carisey Alexandre F. , Stehbens Samantha J. , Lee Kyung-min , Marín Arnaldo , Hanker Ariella B. , Schmidt Jens C. , Arteaga Carlos L. , Yang Bin , Kobayashi Yoshihiko , Tata Purushothama Rao , Kruithoff Rory , Doubrovinski Konstantin , Shepherd Douglas P. , Millett-Sikking Alfred , York Andrew G. , Dean Kevin M. , Fiolka Reto 
Published: April 2020

AbstractWe present an Oblique Plane Microscope that uses a bespoke glass-tipped tertiary objective to improve the resolution, field of view, and usability over previous variants. Owing to its high numerical aperture optics, this microscope achieves lateral and axial resolutions that are comparable to the square illumination mode of Lattice Light-Sheet Microscopy, but in a user friendly and versatile format. Given this performance, we demonstrate high-resolution imaging of clathrin-mediated endocytosis, vimentin, the endoplasmic reticulum, membrane dynamics, and Natural Killer-mediated cytotoxicity. Furthermore, we image biological phenomena that would be otherwise challenging or impossible to perform in a traditional light-sheet microscope geometry, including cell migration through confined spaces within a microfluidic device, subcellular photoactivation of Rac1, diffusion of cytoplasmic rheological tracers at a volumetric rate of 14 Hz, and large field of view imaging of neurons, developing embryos, and centimeter-scale tissue sections.
Optimize Clinical Laboratory Diagnosis of COVID-19 from Suspect Cases by Likelihood Ratio of SARS-CoV-2 IgM and IgG antibody
Authors: Yangchun Feng 
Published: April 2020

ObjectiveTo optimize clinical laboratory diagnosis of COVID-19 from suspect cases by Likelihood Ratio of SARS-CoV-2 IgM and IgG antibody.MethodsBy reinterpreting the data in the article “Diagnostic Value of Combined Detection of Serum 2019 novel coronavirus IgM and IgG Antibodies in novel coronavirusin Infection”, the positive likelihood ratio of IgM and IgG antibody in diagnosis of COVID-19 (nucleic acid positive patients) was calculated, and the posterior probability of IgM and IgG antibodies and their tandem detection to diagnose was finally calculated.ResultsThe positive likelihood ratios of single IgM and IgG antibody were 18.50 and 12.65 respectively, and the posterior probabilities were 90.18% and 86.26% respectively. However, the posterior probability of the two antibodies tandem detection is 99.15%, which can give clinicians quantitative confidence in the diagnosis of COVID-19 from suspected cases. According to the results of this study, combining the advantages and disadvantages of nucleic acid detection and antibody detection, the clinical pathway for clinicians to diagnose COVID-19 is found.ConclusionFor suspected cases, IgM and IgG antibody tests should be firstly done at the same time. If the antibody tests are all positive, COVID-19 can be confirmed. If not, nucleic acid detection (one or more times) is performed, and in extreme cases, high-throughput viral genome sequencing is performed.
Epigenetic landscape of pancreatic neuroendocrine tumours reveals distinct cells of origin and means of tumour progression
Authors: Di Domenico Annunziata , Pipinikas Christodoulos P. , Maire Renaud Sylvain , Bräutigam Konstantin , Simillion Cedric , Dettmer Matthias S. , Vassella Erik , Thirlwell Christina , Perren Aurel , Marinoni Ilaria 
Published: April 2020

ABSTRACTRecent data suggest that Pancreatic Neuroendocrine Tumours (PanNETs) originate from α- or β-cells of the islets of Langerhans. The majority of PanNETs are non-functional and do not express cell-type specific hormones. We examined whether tumour DNA methylation (DNAme) profiling combined with genomic data could identify cell of origin and reveal pathways involved in PanNET progression. We analysed genome-wide DNAme data of 125 PanNETs and sorted α- and β-cells. To confirm cell identity, we investigated ARX and PDX1 expression. Based on epigenetic similarities, PanNETs clustered in α-like, β-like and intermediate tumours. The epigenetic similarity to α-cells progressively decreased in the intermediate tumours, which presented unclear differentiation. Specific transcription factor methylation and expression varied in the respective α/β-tumour groups. Depending on DNAme similarity to α/β-cells, PanNETs have different mutational spectra, stage of the disease and prognosis, indicating potential means of PanNET progression.
Discount models in intertemporal choice: an empirical analysis
Authors: Parra Oller Isabel María , Cruz Rambaud Salvador , Valls Martínez María del Carmen 
Published: April 2020

PurposeThe main purpose of this paper is to determine the discount function which better fits the individuals' preferences through the empirical analysis of the different functions used in the field of intertemporal choice.Design/methodology/approachAfter an in-depth revision of the existing literature and unlike most studies which only focus on exponential and hyperbolic discounting, this manuscript compares the adjustment of data to six different discount functions. To do this, the analysis is based on the usual statistical methods, and the non-linear least squares regression, through the algorithm of Gauss-Newton, in order to estimate the models' parameters; finally, the AICc method is used to compare the significance of the six proposed models.FindingsThis paper shows that the so-calledq-exponential function deformed by the amount is the model which better explains the individuals' preferences on both delayed gains and losses. To the extent of the authors' knowledge, this is the first time that a function different from the general hyperbola fits better to the individuals' preferences.Originality/valueThis paper contributes to the search of an alternative model able to explain the individual behavior in a more realistic way.
Developing customer satisfaction index in Iranian public higher education
Authors: Ebrahimzadeh Pezeshki Reza , Sabokro Mehdi , Jalilian Negar 
Published: April 2020

PurposeThe present study seeks to design an index model of satisfaction among Iranian students who are studying at public universities in this country.Design/methodology/approachIn this research, data were collected in two stages: in the first stage, the data related to satisfaction indices were collected from 62 experts on pedagogical science and marketing management. In the second step, the data were collected from 1,404 students and were analysed by fuzzy analytic hierarchical process method, interpretive structural modelling and structural equation modelling.FindingsThe results of this study showed that three variables “perceived quality”, “organization image” and “Student relationship management” are reliable as indicators of student satisfaction. Also, contrary to the results of previous studies, the variable of expectations cannot predict the satisfaction of the students.Originality/valueModels of satisfaction have been designed in different fields. Also, in the measurement of satisfaction, attention to the field and customization is approved by researchers. Accordingly, the present study tries to design indices of satisfaction among students of state universities in Iran. It also pointed out the effect of customization on the formation of satisfaction at the Iranian and other universities.
Lecturers' commitment to teaching entrepreneurship: do transformational leadership, mindfulness and readiness for change matter?
Authors: Yeap Sock Beei , Abdullah Abdul Ghani Kanesan , Thien Lei Mee 
Published: April 2020

PurposeThis study aims to examine the influence of transformational leadership and mindfulness on lecturers' commitment to teaching entrepreneurship with mediating effect of readiness for change in polytechnics.Design/methodology/approachThe study used the cross-sectional survey method. The sample participants were 171 lecturers from polytechnics. Data were analysed by using partial least squares–structural equation modelling (PLS-SEM) approach.FindingsFindings indicated that readiness for change mediated the relationship between transformational leadership and commitment to teaching entrepreneurship. Transformational leadership and mindfulness had no significant influence on commitment to teaching entrepreneurship. Readiness for change did not mediate the relationship between mindfulness and commitment to teaching entrepreneurship.Practical implicationsHigher education should be aware of the importance of lecturers' readiness for change. This is because readiness for change is the mediator of the relationship between transformational leadership and commitment to teaching entrepreneurship.Originality/valueThe study sheds light on the explanation of mediating effect of readiness for change to influence the relationship between transformational leadership and lecturers' commitment to teaching entrepreneurship in the Malaysian polytechnic context.
Family firms propensity to lean innovation in the emerging economy: a moderating role of executive's compensation
Authors: Zulfiqar Muhammad , Yousaf Muhammad Usman , Islam Md Rashidul , Ghafoor Sadeen 
Published: April 2020

PurposeThe purpose of this study is to investigate the empirical relationship between family firms and lean innovation (i.e. generating more output with less input) as well as the moderating role of the executive's compensation.Design/methodology/approachPanel data for ten years (2007–2016) have been collected from the CSMAR database. This study concludes the findings using descriptive statistics, correlation and panel data analysis techniques applying statistical software STATA.FindingsResults show that family firms are not motivated to follow lean innovation strategies until unless the executives are compensated well. We further find that family firms are more likely to pursue a lean innovation strategy, and they demonstrate a superior record of converting R&D inputs as granted patents, and; both input and output innovation are significantly affected by executive compensations. However, this study shows an insignificant negative relationship of propensity to patents with the moderating effects of executive compensation.Research limitations/implicationsThis research has been conducted on the emerging Chinese market. The study is useful for policymakers and managers to devise such strategies which can make the role of executive's more effective to reduce the agency cost and reap the benefits of innovation input more effectively (Petersen, 2009). Also, family firms are heterogeneous, and the research outcome may be applicable for both advanced and emerging economies.Originality/valueThe previous family firm's research paid less attention to the role of the executive's compensation on the relationship of family firms and lean innovation. Moreover, they prioritize insight into how executive's compensation affects different proxies of innovation. This study sheds new light on the paradoxical findings of family firms and lean innovation by analyzing the significant role of executive compensation.
Why customers and peer service providers do not participate in collaborative consumption
Authors: Hazée Simon , Zwienenberg Thijs Johannes , Van Vaerenbergh Yves , Faseur Tine , Vandenberghe Audrey , Keutgens Olivier 
Published: April 2020

PurposeTechnological innovations such as smart mobile devices and mobile applications gave rise to a new business model: collaborative consumption. This business model, which is receiving significant attention from researchers and practitioners, is characterized by an intermediating digital platform that facilitates exchanges between customers and peer service providers. However, many digital platform providers still fail to build a critical mass of demand and supply. Accordingly, the aim of this research is to develop a better understanding of the barriers perceived by both customers and peer service providers.Design/methodology/approachThis study uses a mixed-method qualitative approach to develop a comprehensive understanding of the factors that explain the rejection of collaborative consumption. In particular, six focus groups and 14 in-depth interviews were conducted, totaling 50 Belgian participants (with a mean age of 33 years). In addition, 375 online critical incidents—retrieved from various sources, such as review websites and social networks—were used for triangulation purposes. All data were analyzed using a thematic analytic approach.FindingsCustomers and peer service providers reject collaborative consumption because of a complex set of multidimensional functional and psychological barriers. In particular, actors may perceive barriers related to complexity, value, risk, compatibility, contamination, image, and responsibility, which prevent them from participating in collaborative consumption.Originality/valueThis paper builds theory on the reasons why both customers and peer service providers reject collaborative consumption. The research identifies several barriers that were not captured in prior research. Digital platform providers can use the research findings to more fully understand actors' decision-making processes in collaborative consumption.