Frontiers in Human Neuroscience最新文献

{"title":"Transcutaneous vagus nerve stimulation during semantic verbal fluency tasks: a high-density diffuse optical tomography study.","authors":"Caitlin H Illingworth, Sheharyar S Baig, Jasmine Swalwell, Michal Holowacz, Samantha L Dorney, Sabrina Di Lonardo Burr, Emilia Butters, Daniel Blackburn, Ali Ali, Arshad Majid, Li Su","doi":"10.3389/fnhum.2026.1964706","DOIUrl":"https://doi.org/10.3389/fnhum.2026.1964706","url":null,"abstract":"<p><strong>Introduction: </strong>Transcutaneous auricular vagus nerve stimulation (taVNS) is a promising adjunct for post-stroke language recovery. There are no established biomarkers for the neuromodulatory effects of taVNS. High-density diffuse optical tomography (HD-DOT) offers a non-invasive marker of task-related cortical activation. We explore HD-DOT in determining the effects of taVNS during a semantic verbal fluency task (VFT).</p><p><strong>Methods: </strong>Twenty-four healthy adult participants performed a semantic VFT in a block design, whilst HD-DOT was recorded across the bilateral prefrontal cortex. Participants received sham (earlobe) taVNS followed by active (tragus) taVNS. Statistical analysis was performed at a group level within condition (task-baseline) and between conditions (active taVNS vs. sham taVNS) using node-level and parcellation approaches.</p><p><strong>Results: </strong>Twenty-one participants (87.5%) met the signal quality threshold. At the uncorrected level, significant increases in task-related activity were seen in the triangular part of the left inferior frontal gyrus, during both the active and sham taVNS. Correcting for multiple comparisons, significant increases were seen in the left lateral orbitofrontal cortex during sham stimulation. No significant differences in oxygenated haemoglobin concentration increase were seen between active and sham taVNS.</p><p><strong>Discussion: </strong>Simultaneous recording of brain activity to taVNS during a semantic VFT was feasible and well tolerated. Task-related activation was seen in brain regions associated with language production and decision-making. Through this exploratory work, healthy adults do not demonstrate any significant enhancement of frontal cortical activation from taVNS. Future studies should combine whole-brain HD-DOT and taVNS in clinical cohorts.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1964706"},"PeriodicalIF":3.6,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13677701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Deep brain stimulation think tank: updates in neurotechnology and neuromodulation, volume VI.","authors":"Chance R Fleeting, Aysegul Gunduz, Michael S Okun, Joshua K Wong","doi":"10.3389/fnhum.2026.2007514","DOIUrl":"https://doi.org/10.3389/fnhum.2026.2007514","url":null,"abstract":"","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"2007514"},"PeriodicalIF":3.6,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13677861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia.","authors":"Keduo Huang, Pengxiang Zuo, Xuemei Luo, Chun Ji, Fang Yang, Yuhao Huang, Xiaole Wang","doi":"10.3389/fnhum.2026.1976311","DOIUrl":"10.3389/fnhum.2026.1976311","url":null,"abstract":"<p><strong>Background: </strong>Attention-deficit/hyperactivity disorder (ADHD) and developmental dyslexia (DD) are highly comorbid, yet objective differentiation from individual disorders remains challenging due to the lack of neurophysiological biomarkers. This study aimed to develop an interpretable machine learning model leveraging multidimensional task-state EEG features to distinguish ADHD-DD comorbidity from ADHD and typical development (TD).</p><p><strong>Methods: </strong>Ninety children (27 ADHD-DD, 40 ADHD, 23 TD) underwent EEG during a VSWM task. Five feature categories were extracted: event-related potentials, time-frequency characteristics, functional connectivity, graph-theoretic metrics, and nonlinear dynamics. Three feature-processing strategies and nine classifiers were compared within a nested cross-validation framework. Feature contribution was quantified by coefficient back-projection of the optimal PCA-LR mode. Sensitivity and permutation analyses were performed.</p><p><strong>Results: </strong>The PCA-LR model achieved a balanced accuracy of 80.5%, a Macro-F1 of 0.799, and a Macro-AUC of 0.912. Class-wise AUCs were 0.905 for ADHD-DD, 0.904 for ADHD, and 0.927 for TD. Left temporal α-band functional connectivity was a shared high-contribution feature in both disorder groups. ADHD-DD was distinguished by widely distributed cross-regional connectivity spanning θ and α bands and by P200 amplitude. ADHD was characterized primarily by α-band network metrics and α-ERD, whereas TD relied mainly on θ and α bands functional connectivity and graph-theoretic metrics.</p><p><strong>Conclusion: </strong>Our findings suggest that multidimensional task-state EEG features may help differentiate children with ADHD-DD comorbidity from those with ADHD or typical development. They also indicate that machine-learning approaches may be useful for identifying neurodevelopmental comorbid conditions.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1976311"},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13672606/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149215900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical characteristics and early hematoma dynamics in a selected cohort of 199 patients with spontaneous intracerebral hemorrhage who underwent 24-hour follow-up imaging: a retrospective single-center study.","authors":"Pengchao Hong, Weigang Chen","doi":"10.3389/fnhum.2026.1888155","DOIUrl":"10.3389/fnhum.2026.1888155","url":null,"abstract":"<p><strong>Background: </strong>Spontaneous intracerebral hemorrhage (sICH) is a devastating subtype of stroke with high morbidity and mortality. Early hematoma expansion (HE) is a key modifiable factor associated with neurological deterioration. Data on early HE dynamics in China populations with relatively late presentation (median time to admission >6 h) remain limited.</p><p><strong>Methods: </strong>This retrospective single-center study included 199 adult patients with sICH who had baseline and 24-h follow-up non-contrast computed tomography (NCCT) scans. Hematoma volume was measured using the ABC/2 method. Early HE was defined as an absolute volume increase >6 mL or a relative increase >33% on the 24-h scan. Clinical characteristics, systemic inflammatory markers (peripheral leukocyte counts), and early neurological changes (National Institutes of Health Stroke Scale [NIHSS] and Glasgow Coma Scale [GCS]) were analyzed.</p><p><strong>Results: </strong>The mean age was 58.7 ± 11.8 years, with male predominance (71.9%). Hypertension was present in 75.4% of patients. Median time from onset to admission was 10.0 h (IQR 6.0-19.5). Median initial hematoma volume was 16.2 mL (IQR 6.8-26.1). In this selected cohort of patients who survived to 24-h imaging without early surgical evacuation (median onset-to-admission 10.0 h), the observed rate of early HE was 6.0% (12/199). Because of the small number of expansion events (<i>n</i> = 12), the study was underpowered to identify baseline predictors; none of the examined demographic, clinical or radiological variables reached conventional statistical significance, although effect estimates with wide confidence intervals are provided in the main text. Peripheral leukocyte counts remained stable from admission to 24 h (<i>p</i> = 0.922). Patients with HE experienced significantly greater neurological change (median NIHSS increase 2.0 [0.0-6.5] vs. 0.0 [0.0-0.0], <i>p</i> < 0.001; median GCS change -1.0 [-2.0 to 0.0] vs. 0.0 [0.0-0.0], <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>In this selected, later-presenting single-center Chinese cohort that reached 24-h imaging without early surgery, the observed rate of early HE was low (6.0%). However, when expansion occurred, it was strongly associated with acute neurological worsening. Baseline factors did not reliably predict HE, highlighting the need for vigilant monitoring regardless of initial presentation.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1888155"},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13672531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149215929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural and dynamic functional controllability: shared variance between network control metrics limits attribution to distinct domains of intelligence.","authors":"Justin Ng, Jamie D Feusner, Colin Hawco","doi":"10.3389/fnhum.2026.1920417","DOIUrl":"10.3389/fnhum.2026.1920417","url":null,"abstract":"<p><strong>Introduction: </strong>Fluid and crystallized intelligence have recently been hypothesized to reflect the brain network's capacity to facilitate transitions into hard-to-reach, high-energy states, measured via modal controllability, and easy-to-reach, low-energy states, measured via average controllability, respectively. Controllability is typically measured for the structural connectome, but dynamic functional connectivity may better capture temporally varying processes relevant to cognition.</p><p><strong>Methods: </strong>Using data from the Human Connectome Project, we compared the prediction of crystallized and fluid intelligence from controllability metrics measured in both structural and dynamic functional connectivity. We hypothesized dynamic functional connectivity would outperform structural connectivity, and modal and average controllability would differentially predict fluid and crystallized intelligence.</p><p><strong>Results: </strong>As expected, dynamic functional connectivity outperformed structural connectivity in predicting cognitive performance. However, modal and average controllability displayed similar predictive power for fluid and crystalized intelligence, and performed comparably to regional (or node) strength, a simpler graph metric reflecting the strength of immediate regional connections that strongly covaries with both controllability measures. Furthermore, controllability most strongly predicted general intelligence, the shared factor between crystallized and fluid intelligence. General intelligence was associated with higher average controllability (and greater node strength) in transmodal regions and higher modal controllability (and lower node strength) in unimodal regions in dynamic functional connectivity.</p><p><strong>Discussion: </strong>These findings clarify how network control maps onto cognitive ability across the cortical hierarchy, while suggesting that shared variance between controllability metrics hinders specific attribution to crystallized and fluid intelligence, challenging prior hypotheses.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1920417"},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13672590/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149215934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A consistent vigor network in Parkinson's disease: a potential target for brain stimulation effects.","authors":"Zahra Kavian, Sepideh Hajipour Sardouie, Emad Arasteh, Maryam S Mirian, Varsha Sreenivasan, Milad Yazdani, Martin J McKeown","doi":"10.3389/fnhum.2026.1928519","DOIUrl":"https://doi.org/10.3389/fnhum.2026.1928519","url":null,"abstract":"<p><strong>Introduction: </strong>In motor tasks with repetitive trials, motor vigor varies substantially from trial to trial in people with Parkinson's disease (PD). A key question is whether neural variability reflects behavioral variability or whether additional variability emerges as the neural signal is translated into movement. We aimed to identify a vigor-related neural network that could provide a candidate target for brain stimulation.</p><p><strong>Methods: </strong>We analyzed individual-trial fMRI data from 18 participants with PD who performed an overlearned ballistic hand-squeeze task in OFF- and ON-medication sessions while receiving subthreshold galvanic vestibular stimulation (GVS) with different stimulus waveforms. Single-trial fMRI responses were estimated using GLMsingle and entered into a constrained optimisation framework designed to identify a network that was task-active, encoded behavior, showed low trial-to-trial variability, and was spatially coherent.</p><p><strong>Results: </strong>The analysis identified a distributed vigor network whose activity remained related to behavioral vigor while showing lower variability than behavior itself. The network included motor, striatal, cerebellar, thalamic, parietal, temporal-limbic, and orbitofrontal regions and showed limited overlap with the standard task-activation map. GVS waveforms associated with faster responses were accompanied by corresponding changes in vigor-network activity, but not in the broader task-activation network. Dopaminergic medication was also associated with stronger local functional connectivity within the vigor network.</p><p><strong>Discussion: </strong>These findings suggest that movement variability in PD may arise partly when a relatively stable central vigor-related command is translated downstream into movement. The identified network may therefore provide a potential target for neuromodulation approaches aimed at increasing motor vigor in people with PD. Independent validation and future causal testing are needed.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1928519"},"PeriodicalIF":3.6,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662107/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149192516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution of deep learning for structural magnetic resonance imaging analysis in Alzheimer's disease: from slice-level classification to brain structure modeling.","authors":"Yunchen Chen, Tingshan Liu, Guanxun Cheng","doi":"10.3389/fnhum.2026.1958462","DOIUrl":"https://doi.org/10.3389/fnhum.2026.1958462","url":null,"abstract":"<p><p>Structural magnetic resonance imaging (sMRI) depicts Alzheimer's disease (AD)-related atrophy noninvasively and has become a common input for deep-learning studies of diagnosis and progression. For this structured narrative Mini Review, we searched PubMed/MEDLINE, the Web of Science Core Collection, and IEEE Xplore through 31 August 2026. We then purposively selected recent studies that were informative about model design or evaluation. The review covers two-dimensional convolutional neural networks, three-dimensional and hybrid volumetric architectures, transformers, and foundation models, together with longitudinal, multimodal, and graph-based extensions. Across these approaches, validity depends on clinically meaningful target labels, preprocessing that excludes test-set information, participant-level data separation, and evaluation beyond discrimination. Two-dimensional methods remain useful when data or computing resources are limited, although they do not preserve continuous whole-volume context. Three-dimensional and hybrid models incorporate more volumetric information, but anatomical fidelity still depends on representation and validation. Current AD-specific studies do not show that transformers or foundation models consistently outperform convolutional or hybrid alternatives. Stronger clinical evidence will require external testing, calibrated and uncertainty-aware predictions, transparent reporting, and prospective assessment within the intended workflow.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1958462"},"PeriodicalIF":3.6,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662426/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149192543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring partially shared valuation-related neural responses between abstract desirability and food incentive evaluation.","authors":"Renkai Chen, Fufang Wang","doi":"10.3389/fnhum.2026.1909419","DOIUrl":"10.3389/fnhum.2026.1909419","url":null,"abstract":"<p><p>Motivational evaluation can generalize across diverse goals, while the incentive value of biologically relevant stimuli such as food is dynamically modulated by physiological need. The present study examined whether cross-category desirability evaluation under a non-deprived baseline condition and food incentive evaluation under experimentally manipulated Hunger and Satiety states show partially similar valuation-related neural responses within the same individuals. Participants underwent functional magnetic resonance imaging (fMRI) while completing two complementary experiments: an abstract desirability judgment task involving objects, events, and persons, and a food evaluation task conducted under Hunger and Satiety states. In the DESIRE experiment, neural responses associated with desirable versus undesirable judgments were examined across three semantic categories to identify candidate neural patterns related to abstract desirability evaluation. In the HUNGER experiment, analyses examined both baseline food incentive value and hunger-related increases in food desirability. Exploratory whole-brain analyses identified activation patterns involving medial frontal and cingulate valuation-related regions, including the medial prefrontal cortex (mPFC), anterior cingulate cortex (ACC), and medial orbitofrontal cortex (mOFC), during abstract desirability evaluation. Exploratory maps in baseline food incentive-value evaluation analysis also implicated medial frontal and cingulate valuation-related regions. In addition, food items whose desirability increased under hunger showed greater activation than rating-stable food items in the left inferior orbitofrontal cortex, together with visual, cerebellar, and sensorimotor regions. However, formal conjunction-null analyses, ROI-based convergence analyses, whole-brain overlap analyses, and permutation-based tests did not provide evidence for a statistically robust shared neural representation across abstract desirability and food valuation. These findings suggest that cross-category desirability evaluation and homeostatically modulated food incentive evaluation may involve partially overlapping valuation-related processes while remaining sensitive to semantic context and physiological state. The results provide preliminary support for the possibility that abstract motivational cognition may partially engage valuation-related processes that are also involved in physiological incentive evaluation.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1909419"},"PeriodicalIF":3.6,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149180966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of human defence responses in a virtual reality environment: an EEG study.","authors":"Vidisha Maithani, Manish Kumar Asthana","doi":"10.3389/fnhum.2026.1924058","DOIUrl":"10.3389/fnhum.2026.1924058","url":null,"abstract":"<p><p>A predatory imminence continuum displays the perceived imminence of threat to visualise the risk to the prey. Most human studies have utilised static paradigms that may lack ecological validity and limit the exploration of defensive behaviours. Therefore, the present study investigates Fight/ Flight defence responses and underlying neural correlates using EEG under varying conditions of threat proximity and escape availability using a virtual reality (VR) environment. The experiment consisted of a desktop VR environment, including training and experimental phases (5 conditions). Conditions 1 to 4, except 5, included a threat avatar. The conditions differed based on threat proximity (distal/ proximal) and participant's escapability (escape/no-escape). Twenty trials were presented, with each condition presented 4 times. Participants responded with a Fight/Flight response to the threat, followed by a 10-s rest scene and a 5-s fixation. A significant difference in reaction time was observed, indicating distinction based on threat proximity and escapability. A heightened Fight response was observed across all conditions. This pattern may reflect the absence of consequences associated with defensive actions compared to real-life scenarios. For the electrophysiological analysis, ERP analysis indicated a significant difference in the Late frontal activity at the F1 electrode across all conditions. This may suggest tentative cognitive processing during the period surrounding defensive response (Fight or Flight) selection and execution. Together, the findings indicate that although the lack of consequences may have promoted the Fight response more in the VR scenarios, the neural responses may have shown differences in cognitive processing.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1924058"},"PeriodicalIF":3.6,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661590/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Autism spectrum disorder: exploring the speech and language continuum.","authors":"Maria Mody, Margot J Taylor, Christopher J McDougle","doi":"10.3389/fnhum.2026.1972957","DOIUrl":"https://doi.org/10.3389/fnhum.2026.1972957","url":null,"abstract":"","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"20 ","pages":"1972957"},"PeriodicalIF":3.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149180961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}