Frontiers in neuroergonomics最新文献

{"title":"Beyond flickering: introducing code-modulated motion visual evoked potentials for brain-computer interfacing.","authors":"Hanneke A Scheppink, Rainer Herpers, Jordy Thielen, Ivan Volosyak","doi":"10.3389/fnrgo.2026.1884144","DOIUrl":"10.3389/fnrgo.2026.1884144","url":null,"abstract":"<p><p>This study presents a novel code-modulated motion visual evoked potential (c-MVEP) paradigm for brain-computer interfacing (BCI). To avoid the visual discomfort and fatigue often associated with traditional flickering stimuli, this paradigm uses pseudo-random sequences to visually stimulate objects using motion. We conducted offline and online experiments, to investigate signal characteristics and evaluate practical feasibility, respectively. In the offline experiment, EEG data were recorded and compared during sequential stimulation of a single target under four conditions: c-MVEP, code-modulated visual evoked potential (c-VEP), steady-state motion visual evoked potential (SSMVEP), and steady-state visual evoked potential (SSVEP). The c-MVEP evoked similar temporal and broadband spectral responses as c-VEP, with a comparable signal-to-noise ratio (SNR), although c-MVEP responses were more focused in the lower frequency range. While SSMVEP and SSVEP both showed clear harmonic oscillations, SSVEP yielded higher SNRs. Spatially, both motion-based stimulations peaked at Oz but spread across multiple electrodes, whereas both flicker-based stimulations were more localized at Oz. In the online experiment, we evaluated a four-target BCI using the same four conditions, testing the practical feasibility of the c-MVEP paradigm. The c-MVEP BCI reached a mean accuracy of 85.67% with an average selection time of 2.61 s, which was significantly lower than c-VEP (97.81%; 1.15 s) and SSVEP (93.42%; 1.94 s), but significantly higher than SSMVEP (64.91%; 4.18 s). The subjective ratings revealed no clear preference between the motion- and flicker-based paradigms, indicating comparable user comfort. Overall, this study demonstrates the strong potential of the newly proposed c-MVEP paradigm. By providing an effective, non-flickering alternative to traditional c-VEP and SSVEP, c-MVEP offers a highly viable approach for user-friendly BCI applications.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1884144"},"PeriodicalIF":3.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13538422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vigilance decrements in air traffic control as an aviation safety risk: a systematic review of modeling and prediction approaches.","authors":"Manal Aich, Jamal El Aoufi, Ahmed Moussa","doi":"10.3389/fnrgo.2026.1874304","DOIUrl":"10.3389/fnrgo.2026.1874304","url":null,"abstract":"<p><strong>Introduction: </strong>Vigilance decrements in air traffic control (ATC) are a persistent problem for neuroergonomics: human cognitive performance must remain reliable across long operational shifts in an environment where lapses carry serious consequences. Sustained attentional failure is associated with degraded conflict detection, slower response to critical events, and airspace management errors. Impairment is bidirectional: underloaded controllers disengage while overloaded ones lose resolution, and current monitoring systems do not reliably distinguish between these states.</p><p><strong>Methods: </strong>This paper reports a systematic review of vigilance modeling and prediction in ATC, covering 34 articles from three major databases (PubMed, Scopus, Web of Science; initial search January 2025, forward citation update through February 2026), selected through pre-specified inclusion criteria following PRISMA 2020 guidelines.</p><p><strong>Results: </strong>The review addresses physiological and behavioral predictors, machine learning detection models, and multimodal fusion approaches for vigilance prediction. Task demand, time on position, circadian phase, and automation-induced passivity all shape vigilance in real operations, and none acts independently; existing predictive frameworks have not captured this structure well.</p><p><strong>Discussion: </strong>Each approach is evaluated against the constraints of real-time deployment, and the distance between controlled laboratory findings and tools usable on an operational floor remains substantial.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1874304"},"PeriodicalIF":3.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13518319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148842685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An EEG-based non-linear state-space model for trust inference in a space-relevant human-autonomy teaming task.","authors":"Yimin Qin, Pinn Prugsanapan, Sarah Leary, Kai Yi Shih, Zhaodan Kong, Allison Hayman, Torin Clark","doi":"10.3389/fnrgo.2026.1810115","DOIUrl":"https://doi.org/10.3389/fnrgo.2026.1810115","url":null,"abstract":"<p><p>Effective collaboration in human-autonomy teaming (HAT) depends on maintaining appropriately calibrated trust in the autonomous partner. Trust evolves as operators observe system behavior and task outcomes, requiring continuous monitoring rather than overall surveys or post-task self-reports. Electroencephalogram (EEG) offers high temporal resolution for tracking cognitive states; however, most existing EEG-based trust models are static or rely on linear mappings that fail to capture the non-linear and time-dependent nature of trust dynamics. This paper presents an EEG-based non-linear state-space model for continuous trust inference during a space-relevant supervisory task. The model integrates a low-dimensional linear latent process to represent the temporal evolution of trust with a non-linear manifold that maps EEG spectral features to the latent state, enabling trust prediction from both latent dynamics and neural representations. Model performance was evaluated using EEG data collected from participants monitoring autonomous systems with varying reliability and transparency, and compared against a linear dynamic model and a static model. After correcting the unit of statistical inference to participant-level averages, the proposed model achieved significantly higher correlation with self-reported trust than both the linear dynamic model (<i>p</i> = 0.0021) and the static model (<i>p</i> < 0.0001), and significantly lower prediction error than the static model (<i>p</i> = 0.0020). The RMSE reduction relative to the linear dynamic model was numerically favorable but not statistically significant after participant-level aggregation. Model interpretation revealed that trust inference relied on distributed neural features, with contributions from frontal and prefrontal regions in delta and alpha bands and additional involvement of higher-frequency activity (low- and mid-gamma bands), and that high- and low-trust states occupy distinct regions of the inferred latent space. These results demonstrate that incorporating non-linear neural structure within a dynamic modeling framework improves EEG-based trust inference and supports the development of cognition-aware adaptive autonomy.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1810115"},"PeriodicalIF":3.1,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13479292/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148804285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hierarchical integration model of effort perception: peripheral, central, cognitive, temporal, and applied mechanisms revealed through blood flow restriction.","authors":"Yudai Takarada","doi":"10.3389/fnrgo.2026.1811504","DOIUrl":"10.3389/fnrgo.2026.1811504","url":null,"abstract":"<p><p>Effort perception-the subjective experience of how hard an action feels-arises from the integration of peripheral sensory signals, central motor inhibition, and higher order cognitive appraisal. Blood flow restriction (BFR) provides a unique context in which these interactions are amplified, revealing how the perception-action relationship can be distorted even when mechanical load is low. This review synthesizes evidence across neurophysiology, psychology, and applied exercise science to propose a hierarchical model in which effort perception is reconstructed through multilevel integration rather than determined by any single physiological source. In this framework, lower-level signals constrain but do not determine higher-level processes, while higher-level cognitive and motivational systems modulate the gain and precision of sensory information. At the peripheral level, group III/IV afferents and vascular distension sensitive receptors encode metabolic and mechanical states. At the central level, reduced excitability of the primary motor cortex (M1) and compensatory engagement of higher order motor regions reshape how these signals are processed. At the cognitive and motivational level, mental fatigue, unconscious goal priming, and arousal modulation recalibrate the reference frames through which effort is evaluated. BFR magnifies these interactions, illustrating how acute distortions of effort perception may, over repeated exposure, contribute to the recalibration of perceptual thresholds, although the mechanisms linking acute distortions to chronic adaptations remain uncertain. Rather than presenting a fully validated causal theory, this hierarchical model serves as an integrative framework that organizes existing evidence, clarifies evidence strength across levels, and generates testable predictions relevant to neuroergonomics, rehabilitation, aging and athletic performance.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1811504"},"PeriodicalIF":3.1,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13443312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Modeling the acceptability of BCIs for motor rehabilitation after stroke: a large scale study on the general public.","authors":"Elise Grevet, Killyam Forge, Sebastien Tadiello, Margaux Izac, Franck Amadieu, Lionel Brunel, Léa Pillette, Jacques Py, David Gasq, Camille Jeunet-Kelway","doi":"10.3389/fnrgo.2026.1854498","DOIUrl":"10.3389/fnrgo.2026.1854498","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnrgo.2022.1082901.].</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1854498"},"PeriodicalIF":3.1,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13382936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148611664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Error-related potentials detection to enhance human-robot collaboration: a mini review.","authors":"David Achanccaray, Aurélie Clodic, Raphaëlle N Roy","doi":"10.3389/fnrgo.2026.1769098","DOIUrl":"10.3389/fnrgo.2026.1769098","url":null,"abstract":"<p><p>Error-related potentials (ErrPs) have been studied to evaluate wrong decisions or actions in several contexts. An ErrP is an electrical potential on the scalp generated by the perception of errors and occurs unwittingly. In human-robot collaboration (HRC), ErrP detection can be used to trigger a feedback or an action to adapt the system to the user. This contributes to the improvement of HRC, taking into account user performance. However, to our knowledge, the detection of ErrPs in HRC has not been widely explored, resulting in only a few studies. This systematic review will present work on ErrP-based interfaces related to adaptation, control, and neuroergonomics for HRC. Thirteen articles were included after the exclusion criteria of the review stages. The average accuracy of ErrP detection was between 54 and 87.2%. In most cases, the authors simulated the occurrence of unexpected behavior of the robot. The robot mistakes occurred randomly between 20 and 35% of the total trials. Some works focused on the robot learning process and adaptation between humans and robots. The mental model and the robot behavior policy were updated based on the decoded ErrPs during collaborative interactions. Control-related works have included ErrPs detection/features as input inside the control loop or algorithm. Other studies assessed the influence of mental workload variability in the adaptation process, given that a high mental workload affects the cognitive processes needed to perceive errors. Thus, ErrPs present advantages for enhancing HRC, and this review opens the way to further developments in the robotic domain.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1769098"},"PeriodicalIF":3.1,"publicationDate":"2026-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148214146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinct oculomotor signatures for task disengagement and reduction in vigilance during a supervisory task.","authors":"Stefania C Ficarella, Nicolas Maille, Nicolas Lantos, Kevin Le Goff, Jean-François Sciabica, Jean-Christophe Sarrazin, Andrea Desantis","doi":"10.3389/fnrgo.2026.1706491","DOIUrl":"10.3389/fnrgo.2026.1706491","url":null,"abstract":"<p><p>Technological advancements in human-machine interfaces increasingly confine human operators to the role of passive supervisors. Under such conditions, the out-of-the-loop phenomenon, driven by vigilance decline and task disengagement, can result in degraded performance, when automated systems fail unexpectedly. Despite decades of research on the topic, characterizing, quantifying and predicting these performance problems remain difficult. This study aimed at identifying distinct oculomotor signatures associated with task disengagement and vigilance reduction during a specifically designed supervisory task. Participants viewed a simplified aircraft interface and were asked to monitor an autopilot system and validate or reject its decisions. Task disengagement was manipulated by varying the time delay before participants were required to intervene: in some cases, responses were frequent, while in others participants had to wait longer before having to intervene. Vigilance was manipulated through time-on- task. Results showed that participants' performance was negatively impacted by task disengagement (slower reaction times when less solicited). Although visual exploration decreased both under low vigilance and low engagement, other oculomotor markers (i.e., saccades, fixations, eyelid opening and blinks) could dissociate the two states. Finally, logistic classifiers revealed that specific oculomotor features predicted participants' reaction times above chance. In summary, this study identified distinct oculomotor patterns linked to vigilance decline and task disengagement, two factors contributing to the out-of-the-loop phenomenon, which were also predictive of individuals' performance. These results are not only relevant for the monitoring of piloting activities, but contribute to the general knowledge of the impact of task disengagement on human performance.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1706491"},"PeriodicalIF":3.1,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13219014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148140505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reframing neuroergonomics in an evolutionary and active inference context.","authors":"Farah I Corona-Strauss, Jonas Vibell, Alexander L Francis, Martina Lehser, Sebastian M Markert, Daniel J Strauss","doi":"10.3389/fnrgo.2026.1796721","DOIUrl":"10.3389/fnrgo.2026.1796721","url":null,"abstract":"<p><p>Everyday situations, such as feeling nauseous in virtual-reality environments or getting dizzy when reading as a car passenger, reveal how easily our senses can become confused when modern technology disrupts the innate relationship between the physical environment and human sensory systems. Such disruptions expose the vulnerability of the human senses to conflicting input arising in technologically altered environments. Even in the absence of direct sensory conflict, in complex technological settings such as digital factories and modern operating rooms, the convergence of multiple competing stimuli within and across sensory modalities further amplifies sensory load and cognitive strain. The common denominator of all such problems is that our ancient sensory processing and perceptual systems do not fit well with the technological world we have created. This evolutionary mismatch is already significant, but it will become even more critical as mixed reality concepts and advanced digital technologies integrate more deeply into our daily lives. Focusing on sensory mismatch and sensory strain as two significant ramifications of the Anthropocene, we reframe neuroergonomics in an evolutionary and active inference context. Our reframing argues that neuroergonomics must prioritize technology design that respects evolutionarily tuned priors, and should additionally deploy measured epigenetic, gene-culture, and learning-driven interventions as complementary levers to support adaptive change. Thus, we highlight the importance of aligning and grounding neuroergonomic design with the human sensory system according to constraints and affordances defined by human evolutionary history.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1796721"},"PeriodicalIF":3.1,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13190609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148019940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physiological sensing for situational awareness: a theory-driven integrative review of multimodal and unsupervised approaches for visual search and human-autonomy teaming.","authors":"Hicham Sekkati, Timothy Lam, Jean-Francois Lapointe, Luc Belliveau, Sebin Im","doi":"10.3389/fnrgo.2026.1797540","DOIUrl":"10.3389/fnrgo.2026.1797540","url":null,"abstract":"<p><p>Situational awareness (SA) is fundamental to performance in visually demanding, safety-critical tasks and in human-autonomy teaming (HAT), yet existing measurement approaches remain limited. Direct probes such as SAGAT or SART disrupt task flow, while performance-based metrics capture outcomes rather than the underlying cognitive processes of perception, comprehension, and projection. This article presents a theory-driven integrative review of physiological sensing approaches for estimating SA. Physiological sensing provides a complementary, continuous, and objective alternative, with evidence that neural (EEG), ocular (eye tracking and pupillometry), and autonomic (ECG and EDA) signals each index distinct components of SA. The review synthesizes findings across these modalities with emphasis on two key domains: visual search tasks, where operators must detect, classify, and assess potential threats, and human-autonomy teaming, where effective coordination depends on shared SA, trust, and transparency. Beyond traditional feature-based pipelines, we examine recent advances in multimodal fusion and deep learning, highlighting the increasing role of unsupervised and self-supervised representation learning. These approaches exploit large volumes of unlabeled physiological data to reveal latent cross-modal structure, reduce reliance on sparse ground-truth labels, and enhance scalability and ecological validity. By integrating evidence across sensing modalities and computational frameworks, this review outlines the current state of physiological SA estimation and identifies key research directions for continuous, real-time monitoring in visual search and human-autonomy teaming.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1797540"},"PeriodicalIF":3.1,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13168123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147944272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EEG hyperscanning in intellectual disability: a scoping review with implications for cognitive stimulation therapy.","authors":"Pavithra Pavithra, James K Bradshaw Bernacchi, Salma Ahmed, Garret McDermott, Mary McCarron, Philip McCallion, Eimear McGlinchey, Alejandro Lopez Valdes","doi":"10.3389/fnrgo.2026.1757738","DOIUrl":"10.3389/fnrgo.2026.1757738","url":null,"abstract":"<p><p>Electroencephalography (EEG) hyperscanning has emerged as a valuable method for examining social dynamics during group-based activities and may serve as a promising outcome measure in group interventions. Cognitive stimulation therapy (CST) is one such interventions shown to improve cognition and quality of life in people with dementia and has recently been adapted for individuals with intellectual disability (ID). However, the potential for obtaining objective neural markers of CST benefit via EEG and hyperscanning is yet to be explored. This scoping review aims to identify existing evidence and gaps related to the use of EEG within CST research for adults with ID by examining three relevant areas: (1) the use of individual EEG and hyperscanning to evaluate cognitive and social outcomes in CST; (2) the evidence base for individual and group-based CST in people with ID; and (3) the use of EEG to evaluate cognitive and social outcomes for people with ID. Following the PRISMA-ScR guidelines, studies were searched in CINAHL, MEDLINE, PsychInfo, and EMBASE. Our search focused on adult participants with ID and studies that used EEG for the purpose of evaluating cognitive or social outcomes. Currently, there are no studies that use EEG to evaluate CST in adults with ID. Following screening and eligibility assessment, no studies met the inclusion criteria for EEG and CST. Five studies were included for CST and ID, and 14 articles met criteria for EEG and ID. In total, 19 articles were included in the final review. The evidence base suggests that EEG has been successfully used to investigate neural mechanism in ID and Down Syndrome related Alzheimer's disease. Existing CST research in ID remains largely feasibility-focused but some preliminary findings show cognitive benefits, enhanced enjoyment, and social connectedness. Our review shows that there is a large gap when it comes to any objective metrics for CST in general. Given that there is evidence of EEG studies including populations with ID, we propose that this gap can be filled by EEG hyperscanning which offers a non-invasive, objective approach to evaluate cognitive and social outcomes in people with ID in future CST research.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1757738"},"PeriodicalIF":3.1,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13111357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147793787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}