bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electroconvulsive therapy increases cortical thickness in depression: A systematic review
Authors: Tommaso Toffanin , Giulia Cattarinussi , Niccolò Ghiotto , Marialaura Lussignoli , Chiara Pavan , Luca Pieri , S. Schiff , Francesco Finatti , Francesca Romagnolo , Federica Folesani , Giulia Nanni Maria , Rosangela Caruso , Luigi Zerbinati , Martino Belvederi Murri , Maria Ferrara , Giorgio Pigato , Luigi Grassi , Fabio Sambataro 
Published: October 2023

AbstractObjectiveElectroconvulsive therapy (ECT) is one of the most studied and validated available treatments for severe or treatment-resistant depression. However, little is known about the neural mechanisms underlying the ECT treatment. This systematic review aims to critically review all structural magnetic resonance imaging studies investigating longitudinal cortical thickness (CT) changes after ECT in patients with unipolar or bipolar depression.MethodsWe performed a search on PubMed, Medline, and Embase to identify all available studies published before April 20, 2023. A total of 10 studies were included.ResultsThe investigations showed widespread increases in CT after ECT in depressed patients, involving mainly the temporal, insular, and frontal regions. In five studies, CT increases in a non-overlapping set of brain areas correlated with the clinical efficacy of ECT. The small sample size, heterogeneity in terms of populations, medications, comorbidities, and ECT protocols, and the lack of a control group in some investigations limit the generalizability of the results.ConclusionsOur findings support the idea that ECT can increase CT in patients with unipolar and bipolar depression. It remains unclear whether these changes are related to the clinical response. Future larger studies with longer follow-up are warranted to thoroughly address the potential role of CT as a biomarker of clinical response after ECT.SummationsThis review summarizes how ECT affects CT in patients with unipolar or bipolar depression.The areas that were predominantly affected by ECT were temporo-insular and frontal regions. An association between the antidepressant effect of ECT and CT changes was reported by half of the included studies.Identifying the possible cortical changes associated with the clinical efficacy of ECT opens new targets to ameliorate ECT protocols.ConsiderationsThe review is based on studies with small numbers of patients and considerable heterogeneity in terms of patients’ characteristics and ECT protocols. Most studies cited did not have a randomized design, thus reducing the strength of evidence supporting a causal link between ECT and CT changes.
Deep cervical lymph nodes of patients with multiple sclerosis show dysregulated B cells in the presence of Epstein-Barr virus
Authors: Sarkkinen Joona , Yohannes Dawit , Kreivi Nea , Dürnsteiner Pia , Huuhtanen Jani , Nowlan Kirsten , Kurdo Goran , Linden Riikka , Saarela Mika , Tienari Pentti J , Kekäläinen Eliisa , Perdomo Maria , Laakso Sini M 
Published: October 2023

AbstractDespite the recognized role of Epstein-Barr virus (EBV) in predisposing to multiple sclerosis (MS) and the effectiveness of B cell-depleting therapies in MS, the mechanism of autoimmunity remains elusive. Using fine needle aspirations, we investigated deep cervical lymph nodes (dcLNs), the primary site of the adaptive immune response against EBV, in newly diagnosed untreated MS patients and healthy controls. We characterized the immune landscape of dcLNs with scRNAseq and CITE- seq and observed increased memory B cell proportions and reduced germinal center (GC) B cells with decreased clonality in patients with MS compared to healthy controls. In the patient with an active MS relapse, we detected elevated plasmablasts, reduced GC B cells, and clonally expanded memory CD8 T cells targeting EBV in the dcLN. These findings, along with increased EBV DNA detection in dcLNs and viral loads in patient saliva, support B cell dysregulation as a key mechanism in MS pathogenesis.
Nucleotide metabolism constrains prime editing in hematopoietic stem and progenitor cells
Authors: Levesque Sébastien , Verma Archana , Bauer Daniel E. 
Published: October 2023

ABSTRACTTherapeutic prime editing of hematopoietic stem and progenitor cells (HSPCs) holds great potential to remedy blood disorders. Since quiescent cells have low nucleotide levels and resist retroviral infection, we hypothesized that nucleotide metabolism could limit reverse transcription mediated prime editing in HSPCs. We demonstrate that deoxynucleoside supplementation and Vpx-mediated degradation of SAMHD1 improve prime editing efficiency in HSPCs, especially when coupled with editing approaches that evade mismatch repair.
DMS-MapSeq Analysis of Antisense Oligonucleotide Binding to lncRNA PANDA
Authors: Romero-Agosto Gabriel , Cox Ethan , Rouskin Silvi 
Published: October 2023

AbstractWhile various methods exist for examining and visualizing the structure of RNA molecules, dimethyl sulfate-mutational profiling and sequencing (DMS-MaPseq) stands out for its simplicity and versatility. This technique has proven effective for studying RNA structures both in vitro and in complex biological settings. We’ve updated the protocol for using DMS-MaPseq, and it can also be employed to identify the binding of antisense oligonucleotides (ASOs) to RNA. By applying this updated protocol, we successfully characterized the structural ensemble of the HIV1 Rev Response Element (RRE), along with its two alternative structures. The findings align with previously published research. Additionally, we resolved the structure of the long non-coding RNA PANDA, which was previously unknown. Moreover, we used PANDA as a basis for designing ASOs and confirmed their binding through a substantial decrease in DMS-reactivities at the anticipated ASO binding locations.
Neurophysiological evidence of sensory prediction errors driving speech sensorimotor adaptation
Authors: Kim Kwang S. , Hinkley Leighton B. , Brent Kurtis , Gaines Jessica L. , Pongos Alvincé L. , Gupta Saloni , Dale Corby L. , Nagarajan Srikantan S. , Houde John F. 
Published: October 2023

AbstractThe human sensorimotor system has a remarkable ability to quickly and efficiently learn movements from sensory experience. A prominent example is sensorimotor adaptation, learning that characterizes the sensorimotor system’s response to persistent sensory errors by adjusting future movements to compensate for those errors. Despite being essential for maintaining and fine-tuning motor control, mechanisms underlying sensorimotor adaptation remain unclear. A component of sensorimotor adaptation is implicit (i.e., the learner is unaware of the learning process) which has been suggested to result from sensory prediction errors–the discrepancies between predicted sensory consequences of motor commands and actual sensory feedback. However, to date no direct neurophysiological evidence that sensory prediction errors drive adaptation has been demonstrated. Here, we examined prediction errors via magnetoencephalography (MEG) imaging of the auditory cortex (n = 34) during sensorimotor adaptation of speech to altered auditory feedback, an entirely implicit adaptation task. Specifically, we measured how speaking-induced suppression (SIS)--a neural representation of auditory prediction errors--changed over the trials of the adaptation experiment. SIS refers to the suppression of auditory cortical response to speech onset (in particular, the M100 response) to self-produced speech when compared to the response to passive listening to identical playback of that speech. SIS was reduced (reflecting larger prediction errors) during the early learning phase compared to the initial unaltered feedback phase. Furthermore, reduction in SIS positively correlated with behavioral adaptation extents, suggesting that larger prediction errors were associated with more learning. In contrast, such a reduction in SIS was not found in a control experiment in which participants heard unaltered feedback and thus did not adapt. In addition, in some participants who reached a plateau in the late learning phase, SIS increased (reflecting smaller prediction errors), demonstrating that prediction errors were minimal when there was no further adaptation. Together, these findings provide the first neurophysiological evidence for the hypothesis that prediction errors drive human sensorimotor adaptation.
Identification of therapeutic targets for 18 clinical diseases by integrating human plasma proteome with genome
Authors: Li Shifang , Gong Meijiao 
Published: October 2023

AbstractThe proteome is an abundant source of potential therapeutic targets, and a comprehensive evaluation of proteins as therapeutic targets for a wide range of diseases is required. By screening 4,907 plasma proteins, we conducted a systematically two-sample proteome-wide Mendelian randomisation (MR) study to uncover potential therapeutic targets for 18 clinical diseases. Following MR analysis and stringent process filtering, a total of 146 causative plasma proteins (false discovery rate<0.05) were discovered. Colocalization analysis (Posterior Probability H4>0.8) further supported the causality of three proteins (MAP2K1, GFRA1, and THBS3) in gastroesophageal reflux disease; LYPLAL1 in keratoconus; three proteins (PCSK9, ANGPTL4, and GCKR) in familial hyperlipidemia; CRAT in atopic eczema; three proteins (IRF3, CA12, and TNFRSF1B) in hypothyroidism; AIF1 in age-related hearing impairment; SCARF2 in male pattern baldness; IRF3 in basal cell carcinoma; and four proteins (RPS6KA1, ULK3, MPPED2, and BTN3A1) in prostate cancer. Interestingly, having a genetically higher circulating CA12 level is associated with a lower risk of hypothyroidism (OR=0.47,p-value=1.68e-05, Posterior Probability H4=0.82). Single-cell RNA sequencing analysis showed that CA12 was mainly expressed in fibroblasts and epithelial cells in patient thyroid tissue and that its expression increased in older adults. Furthermore, with a proportion of 3.8%, hypothyroidism appears to mediate the effect of IRF3 on idiopathic pulmonary fibrosis, according to mediation analysis. Overall, our research could provide new insights into the etiology of clinical diseases as well as intriguing targets for the development of screening biomarkers and therapeutic treatments.
Patient and Clinician Perceptions of a “People-Like-Me” Tool for Personalized Rehabilitation after Total Knee Arthroplasty: A Qualitative Interview Study
Authors: Churchill Laura , Graber Jeremy , Mealer Meredith , Thigpen Charles A. , Matlock Dan D. , Bade Michael J. , Stevens-Lapsley Jennifer E. 
Published: October 2023

AbstractObjectiveWe developed a decision support tool to help physical therapists (PTs) address the varied expectations and recoveries of the total knee arthroplasty (TKA) population. The purpose of this study was to explore patients’ and clinicians’ perceptions and experiences with the tool during rehabilitation after TKA.MethodsWe piloted the tool in 2 outpatient physical therapy clinics. We conducted in-depth semi-structured interviews with 1) patients who underwent TKA and were exposed to the tool during rehabilitation and 2) clinicians who used the tool with patients after TKA. Two members of the research team coded the interview data using a descriptive content analysis.Results16 patients and 10 clinicians were interviewed. We identified 4 common themes: 1) Expectations: most patients and clinicians felt the tool provided patients with valuable feedback for managing recovery expectations; 2) Motivation: patients and clinicians felt the tool motivated patients to participate in rehabilitation by providing positive reinforcement and/or a form of competition; 3) Influence on practice: some patients and clinicians indicated that the tool helped guide treatment decisions or provided opportunities for patient education, but most felt it did not influence clinical decision making; and 4) Clarity and comprehension: the majority of patients understood the tool’s “take-home” message, however, some patients and clinicians felt the use of percentiles, line graphs, and medical jargon decreased patients’ clarity and comprehension of the tool.ConclusionsOverall, participants reported that the tool helped to shape patients’ expectations for postoperative recovery and increase patient motivation to participate in rehabilitation. Participants had mixed perceptions on how the tool influenced clinical care. Finally, participants identified some limitations in patient comprehension of the tool, which will inform future revisions to the tool to accommodate varying levels of health literacy.
Effect of collaborative consumption on sustainable homestay development: an empirical study
Authors: Kataria Pushpa , Gupta Vijay Prakash , Kumar Sunil , Gupta Rupak 
Published: October 2023

Purpose
The purpose of this study is to explore the factors that influence sustainable homestay development and suggest a model for adopting and implementing the homestay concept and its contribution towards sustainable rural development in Uttarakhand, India.

Design/methodology/approach
Researchers have collected a total of 360 responses from tourists, homestay owners/villagers and managers associated with homestay businesses in Uttarakhand to examine, assess and analyse the data with the help of different statistical tools such as SPSS and AMOS to validate the concept of homestay and its impact on sustainable rural development.

Findings
The analysis uncovered that collaborative consumption, sharing economy and family feeling and community development are positively associated with and, in return, community development affects sustainable development.

Research limitations/implications
This study enables us to explain the “collaborative consumption” in the context of homestays functional in the state of Uttarakhand only.

Practical implications
The study results in evidence of crucial implications for policymakers. Policymakers should focus on opportunities in tourism and its integration with economic, environmental and social goals. Homestays will be new avenues for economic and sustainable development.

Social implications
Homestay offers reasonable and cheap lodging for tourists within the existing ancient homes, typically restored for the guests to form a comfortable stay. Homestay is adopted to facilitate community-based tourism in the state. It also helps in developing a source of livelihood for the community. It is helpful for individuals’ economic, social and aesthetic desires to be consummated by maintaining cultural integrity, ecological processes, biodiversity and natural support systems through homestay, as social entrepreneurship. Homestay has been envisaged as a driver to realise the sustainable development goals by steering the pathways to a property future for all involved within the elected hill states.

Originality/value
This study validates a new homestay model that will be useful for developing community and achieving sustainable development.
Ownership structure and technological innovation: an investigation of Tunisian agri-food companies
Authors: Chouaibi Jamel , Festa Giuseppe , Alam Gazi Mahabubul , Rossi Matteo 
Published: October 2023

PurposeThe aim of this study is to investigate potential relationships between the corporate governance system and the innovation development process, with a specific focus on the agri-food sector in the Tunisian context.Design/methodology/approachMost studies on innovation management have shown the collective nature of the innovation process, resulting from the multiple interactions that can be established between various actors, internal and external to the enterprise perimeter, which is increasingly digitally open, especially in the COVID-19 era. More specifically, the implementation of an innovation strategy is a risky issue for businesses, most of all when considering its financial requirements and impacts, and thus, appropriate management plays a relevant role in this respect.FindingsStatistical tests, operated on a sample of 80 Tunisian companies, show that the style of management and the concentration of ownership exert significant influence on the dynamism of technological innovation in the agri-food sector.Originality/valueThe involvement and the commitment of institutional investors can contribute to stimulate the innovation process in the agri-food sector, providing related implications with significant impact, at the scientific and managerial level.
Symbiotic association of resources and market-facing capabilities in supply chains as determinants of performance: a resource orchestration perspective
Authors: Iyer Karthik N.S. , Srivastava Prashant , Srinivasan Mahesh 
Published: October 2023

Purpose
The purpose of this study is to advance the understanding of resource orchestration in inter-firm partnerships that appropriately configure and align strategic cross-firm supply chain resources and capabilities generating synergies to deliver superior performance.

Design/methodology/approach
Applying the resource orchestration logic, supported by the relational view of competitive advantage, the study draws from an empirical analysis of survey data from 152 top-level executives of US manufacturing firms to investigate the effect of leveraging and coherently combining cross-firm supply chain resources with capabilities on operational performance.

Findings
The study underscores the view that appropriately orchestrated combinations of key partnership resources and capabilities as mechanisms for marketing strategy implementation, enhance performance. Specifically, research results suggest that complementary inter-firm resources and lean align, and similarly idiosyncratic resources and agility align synergistically to deliver superior operational performance outcomes. The results also accent partnership responses to intense competition, enabling enhanced operational performance. The findings thus enrich the understanding of the resource orchestration logic and strategy, making important theoretical contributions.

Research limitations/implications
As is typical in marketing and strategy research, the study research design has a cross-sectional framework, thus limiting insights on the resource orchestration dynamics that can otherwise be generated using a longitudinal design. Also, the resource orchestration stream is still nascent. Further research is needed to delineate the orchestration mechanisms that deliver on performance outcomes, especially in supply chains.

Practical implications
A key insight for supply chain and marketing managers is that close-knit inter-firm partnerships are critical for accessing idiosyncratic and complementary resources that can be configured and symbiotically aligned with market-facing agility and lean capabilities, respectively, to deliver market value. Proactive partnerships, especially in highly competitive and disruptive environments, enable mobilizing cross-firm resources and building appropriate matching combinations with capabilities to deliver on operational performance.

Originality/value
The study, guided by theory, advances the understanding of how key cross-firm resources and capabilities deliver performance gains. The key to competitive advantage and enhanced performance outcomes may lie in acquiring, leveraging and deploying appropriately matched resource-capability combinations. The present study investigates this proposition within the context of supply chain partnerships, focusing on cross-firm resources and capabilities.
Cryptocurrency investment behaviour of young Indians: mediating role of fear of missing out
Authors: Kala Devkant , Chaubey Dhani Shanker , Al-Adwan Ahmad Samed 
Published: October 2023

Purpose
This study aims to investigate how fear of missing out (FOMO) mediates the relationship between cryptocurrency adoption intention and investment behavior among young Indians, using the extended unified theory of acceptance and use of technology.

Design/methodology/approach
The data were collected by using survey items on cryptocurrency adoption intention, investment behavior and FOMO derived from existing literature on information systems and cryptocurrencies. A total of 384 Indian participants completed an online questionnaire. The collected data was analyzed using PLS-SEM.

Findings
The findings indicate that facilitating conditions, social influence, effort expectancy and price value play important roles in cryptocurrency adoption. All hypothesized paths were significant, except for perceived risk. Furthermore, the study highlights that FOMO acts as a mediator between adoption intention and investment behavior.

Originality/value
This study makes a valuable addition to the literature by empirically exploring the influence of FOMO on the adoption of cryptocurrencies for investment purposes. The results provide valuable insights to crypto developers and exchanges regarding the diffusion of adoption in emerging markets. In addition, policymakers can gain meaningful insights into the influence of government regulations and FOMO on impulsive cryptocurrency behavior.
A matrixed nonlinear exponential grey Bernoulli model for interval number prediction of crude oil futures prices
Authors: Cang Haoze , Zeng Xiangyan , Yan Shuli 
Published: October 2023

PurposeThe effective prediction of crude oil futures prices can provide a reference for relevant enterprises to make production plans and investment decisions. To the nonlinearity, high volatility and uncertainty of the crude oil futures price, a matrixed nonlinear exponential grey Bernoulli model combined with an exponential accumulation generating operator (MNEGBM(1,1)) is proposed in this paper.Design/methodology/approachFirst, the original sequence is processed by the exponential accumulation generating operator to weaken its volatility. The nonlinear grey Bernoulli and exponential function models are combined to fit the preprocessed sequence. Then, the parameters in MNEGBM(1,1) are matrixed, so the ternary interval number sequence can be modeled directly. Marine Predators Algorithm (MPA) is chosen to optimize the nonlinear parameters. Finally, the Cramer rule is used to derive the time recursive formula.FindingsThe predictive effectiveness of the proposed model is verified by comparing it with five comparison models. Crude oil futures prices in Cushing, OK are predicted and analyzed from 2023/07 to 2023/12. The prediction results show it will gradually decrease over the next six months.Originality/valueCrude oil futures prices are highly volatile in the short term. The use of grey model for short-term prediction is valuable for research. For the data characteristics of crude oil futures price, this study first proposes an improved model for interval number prediction of crude oil futures prices.
Income and health insurance effects on modern health-seeking behaviours in rural Ghana: nature and extent of bias involved
Authors: Sekyi Samuel , Adom Philip Kofi , Wiafe Emmanuel Agyapong 
Published: October 2023

PurposeThis study examined the influence of income and health insurance on the health-seeking behaviour of rural residents, addressing the concerns of endogeneity and heterogeneity bias.Design/methodology/approachA two-stage residual inclusion was utilised to correct self-selection-based endogeneity problems arising from health insurance membership.FindingsThis study provides support for Andersen's behavioural model (ABM). Income and health insurance positively stimulate rural residents' use of modern healthcare services, but the effect of insurance risks a downward bias if treated as exogenous. Further, the effect of health insurance differs between males and females and between adults and the elderly.Originality/valueThis study advances the literature, arguing that, within the ABM framework, enabling (i.e. income and insurance) and predisposing factors (i.e. age and gender) complement each other in explaining rural residents' use of modern health services.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0223