NeuroImage最新文献

{"title":"Altered brain network dynamics during rumination in remitted depression","authors":"Su Shu ,&nbsp;Wenwen Ou ,&nbsp;Mohan Ma ,&nbsp;Hairuo He ,&nbsp;Qianqian Zhang ,&nbsp;Mei Huang ,&nbsp;Wentao Chen ,&nbsp;Aoqian Deng ,&nbsp;Kangning Li ,&nbsp;Zhenman Xi ,&nbsp;Fanyu Meng ,&nbsp;Hui Liang ,&nbsp;Sirui Gao ,&nbsp;Yilin Peng ,&nbsp;Mei Liao ,&nbsp;Li Zhang ,&nbsp;Mi Wang ,&nbsp;Jin Liu ,&nbsp;Bangshan Liu ,&nbsp;Yumeng Ju ,&nbsp;Yan Zhang","doi":"10.1016/j.neuroimage.2025.121176","DOIUrl":"10.1016/j.neuroimage.2025.121176","url":null,"abstract":"<div><div>Rumination is a known risk factor for depression relapse. Understanding its neurobiological mechanisms during depression remission can inform strategies to prevent relapse, yet the temporal dynamics of brain networks during rumination in remitted depression remain unclear. Here<strong>,</strong> we collected rumination induction fMRI data from 42 patients with remitted depression and 41 healthy controls (HCs). Using an energy landscape approach, we investigated the temporal dynamics of brain networks during rumination. The appearance frequency (AF) and transition frequency (TF) metrics were defined to quantify the dynamic properties of brain states. Patients during remission showed higher levels of rumination than HCs. Both groups exhibited four brain states during rumination, which consisted of complementary network group activation (states 1 and 2, states 3 and 4). In patients, the AFs of and reciprocal TFs between states 1 and 2 during rumination were significantly increased, while AFs of states 3 and 4 and reciprocal TFs involving states 1–3, 1–4, 2–3, and 2–4 were decreased, both when compared to HCs and relative to patients themselves during distraction. Moreover, we found that for patients, the AF of state 1 was negatively correlated with rumination levels and marginally positively associated with attention, while the AF of state 2 was negatively associated with performance on attention tasks. Our study revealed altered dynamic characteristics of brain states composed of network groups during rumination in remitted depression. Additionally, the findings suggest that heightened self-focus linked to rumination may impair the brain's ability to efficiently allocate attentional resources.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121176"},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits","authors":"Andrea I. Costantino ,&nbsp;Benjamin O. Pelzer ,&nbsp;Mark A. Williams ,&nbsp;Matthew J. Crossley","doi":"10.1016/j.neuroimage.2025.121147","DOIUrl":"10.1016/j.neuroimage.2025.121147","url":null,"abstract":"<div><div>Visual object recognition is driven through the <em>what</em> pathway, a hierarchy of visual areas processing features of increasing complexity and abstractness. The primary visual cortex (V1), this pathway’s origin, exhibits retinotopic organization: neurons respond to stimuli in specific visual field regions. A neuron responding to a central stimulus will not respond to a peripheral one, and vice versa. However, despite this organization, task-relevant feedback about peripheral stimuli can be decoded in unstimulated foveal cortex, and disrupting this feedback impairs discrimination behavior. The information encoded by this feedback remains unclear, as prior studies used computer-generated objects ill-suited to dissociate different representation types. To address this knowledge gap, we investigated the nature of information encoded in periphery-to-fovea feedback using real-world stimuli. Participants performed a same/different discrimination task on peripherally displayed images of vehicles and faces. Using fMRI multivariate decoding, we found that both peripheral and foveal V1 could decode images separated by low-level perceptual models (vehicles) but not those separated by semantic models (faces). This suggests the feedback primarily carries low-level perceptual information. In contrast, higher visual areas resolved semantically distinct images. A functional connectivity analysis revealed foveal V1 connections to both peripheral V1 and later-stage visual areas. These findings indicate that while both early and late visual areas may contribute to information transfer from peripheral to foveal processing streams, higher-to-lower area transfer may involve information loss.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121147"},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensemble network using oblique coronal MRI for Alzheimer’s disease diagnosis","authors":"Cunhao Li ,&nbsp;Zhongjian Gao ,&nbsp;Xiaomei Chen ,&nbsp;Xuqiang Zheng ,&nbsp;Xiaoman Zhang ,&nbsp;Chih-Yang Lin ,&nbsp;Alzheimer’s Disease Neuroimaging Initiative","doi":"10.1016/j.neuroimage.2025.121151","DOIUrl":"10.1016/j.neuroimage.2025.121151","url":null,"abstract":"<div><div>Alzheimer’s disease (AD) is a primary degenerative brain disorder commonly found in the elderly, Mild cognitive impairment (MCI) can be considered a transitional stage from normal aging to Alzheimer’s disease. Therefore, distinguishing between normal aging and disease-induced neurofunctional impairments is crucial in clinical treatment. Although deep learning methods have been widely applied in Alzheimer’s diagnosis, the varying data formats used by different methods limited their clinical applicability. In this study, based on the ADNI dataset and previous clinical diagnostic experience, we propose a method using oblique coronal MRI to assist in diagnosis. We developed an algorithm to extract oblique coronal slices from 3D MRI data and used these slices to train classification networks. To achieve subject-wise classification based on 2D slices, rather than image-wise classification, we employed ensemble learning methods. This approach fused classification results from different modality images or different positions of the same modality images, constructing a more reliable ensemble classification model. The experiments introduced various decision fusion and feature fusion schemes, demonstrating the potential of oblique coronal MRI slices in assisting diagnosis. Notably, the weighted voting from decision fusion strategy trained on oblique coronal slices achieved accuracy rates of 97.5% for CN vs. AD, 100% for CN vs. MCI, and 94.83% for MCI vs. AD across the three classification tasks.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121151"},"PeriodicalIF":4.7,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-frequency local field potentials reveal integration of spatial and non-spatial information in prefrontal cortex","authors":"Mohammad Aliramezani ,&nbsp;Balbir Singh ,&nbsp;Christos Constantinidis ,&nbsp;Mohammad Reza Daliri","doi":"10.1016/j.neuroimage.2025.121172","DOIUrl":"10.1016/j.neuroimage.2025.121172","url":null,"abstract":"<div><div>The prefrontal cortex (PFC) is critical for various aspects of executive functions, particularly working memory. The debate over whether the dorsal and ventral PFC should be viewed as unitary or heterogeneous in working memory has been ongoing. This study explored the specialization of the posterior dorsal, medial dorsal, and posterior ventral subdivisions of the lateral PFC in two macaque monkeys, focusing on the processing of the location and shape of stimuli during working memory tasks. In contrast to previous studies that focused on spike activity analysis, this article employed local field potential (LFP) power analysis. Results revealed that during the working memory periods, both the dorsal and ventral PFC exhibited significantly higher LFP power for feature stimuli compared to spatial stimuli in the low-frequency bands (∼2–23 Hz). Additionally, the impact of matching versus non-matching stimuli was consistent with repetition suppression in the medial dorsal and posterior ventral regions during the working memory period within the same frequency range. The major modulation of LFP power linked to incorrect decisions made by the monkeys was a sharp reduction in low-frequency LFP power. The similar LFP power patterns in the PFC subdivisions for spatial and feature stimuli throughout the analysis suggested that spatial and non-spatial inputs are integrated by the PFC, revealed by the low-frequency components of the LFP.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121172"},"PeriodicalIF":4.7,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding episodic memory dynamics: Retrieval and updating mechanisms revealed by fMRI and tDCS","authors":"Dong-ni Pan ,&nbsp;CuiZhu Lin ,&nbsp;Ma Xin ,&nbsp;Oliver T. Wolf ,&nbsp;Gui Xue ,&nbsp;Xuebing Li","doi":"10.1016/j.neuroimage.2025.121170","DOIUrl":"10.1016/j.neuroimage.2025.121170","url":null,"abstract":"<div><div>This study investigates brain mechanisms in memory preservation and alteration using a three-phase design: memory encoding (Day 1), interference under fMRI (Day 2), and testing (Day 3). Thirty-one participants completed the core experiment, supplemented by a tDCS study (<em>n</em> = 118) targeting the visual cortex. Original memories were more susceptible to incorrect updating during old-background/new-object interference compared to relearning and no-retrieval conditions. Interference trials elicited heightened activation in the Inferior Parietal Lobe (IPL), Dorsolateral Prefrontal Cortex (DLPFC), and Dorsal Anterior Cingulate Gyrus (dACC) versus no-retrieval controls, and increased frontoparietal and Occipital Fusiform Gyrus (OFG) activation versus relearning. Analyzing interference trials by Day 3 outcomes revealed preserved memories correlated with stronger cingulo-opercular and frontoparietal activation (indicating effective conflict resolution), whereas updated memories showed elevated OFG activity (suggesting new sensory integration). Crucially, IPL/DLPFC activation during interference positively correlated with original memory accuracy, while OFG activation showed negative correlation. tDCS stimulation of the occipital cortex during memory reactivation significantly enhanced memory updating, confirming visual cortex involvement in contextual distortion. Findings demonstrate distinct neural profiles underlie memory outcomes: preserved memories require efficient conflict processing networks, while perceptual interference during reactivation promotes updates through sensory integration systems. This supports targeted neuromodulation approaches for memory modification, highlighting intervention potential through visual cortex engagement during critical memory phases.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121170"},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Slow-wave sleep is associated with nucleus accumbens volume in elderly adults","authors":"Kitti Bán ,&nbsp;Ádám Nárai ,&nbsp;Noémi Báthori ,&nbsp;Éva M. Bankó ,&nbsp;Adél Bihari ,&nbsp;Vivien Tomacsek ,&nbsp;Tibor Kovács ,&nbsp;Béla Weiss ,&nbsp;Petra Hermann ,&nbsp;Péter Simor ,&nbsp;Zoltán Vidnyánszky","doi":"10.1016/j.neuroimage.2025.121173","DOIUrl":"10.1016/j.neuroimage.2025.121173","url":null,"abstract":"<div><div>Slow-wave sleep (SWS) is essential for restorative neural processes and its decline is associated with both healthy and pathological ageing. Building on previous rodent research, this longitudinal study identified a significant association between nucleus accumbens (NAcc) volume and SWS duration in cognitively unimpaired older adults, whilst no significant link was observed between NAcc volume and N2 or rapid eye movement (REM) sleep percentage. Our findings support the involvement of the NAcc in ageing-related modulation of SWS and thus suggest the NAcc as a potential neural marker or therapeutic target for improving SWS.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121173"},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects","authors":"Francesco Mantegna ,&nbsp;Emanuele Olivetti ,&nbsp;Philipp Schwedhelm ,&nbsp;Daniel Baldauf","doi":"10.1016/j.neuroimage.2025.121171","DOIUrl":"10.1016/j.neuroimage.2025.121171","url":null,"abstract":"<div><div>The coordination of different brain regions is required for the visual imagery of complex objects (e.g., faces and places). Short-range connectivity within sensory areas is necessary to construct the mental image. Long-range connectivity between control and sensory areas is necessary to re-instantiate and maintain the mental image. While dynamic changes in functional connectivity are expected during visual imagery, it is unclear whether a category-specific network exists in which the strength and the spatial destination of the connections vary depending on the imagery target. In this magnetoencephalography study, we used a minimally constrained experimental paradigm wherein imagery categories were prompted using visual word cues only, and we decoded face versus place imagery based on their underlying functional connectivity patterns as estimated from the spatial covariance across brain regions. A subnetwork analysis further disentangled the contribution of different connections. The results show that face and place imagery can be decoded from both short-range and long-range connections. Overall, the results show that imagined object categories can be distinguished based on functional connectivity patterns observed in a category-specific network. Notably, functional connectivity estimates rely on purely endogenous brain signals suggesting that an external reference is not necessary to elicit such category-specific network dynamics.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121171"},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of diet on the development of EEG microstates in healthy infant throughout the first year of life","authors":"Dylan Gilbreath ,&nbsp;Darcy Hagood ,&nbsp;Aline Andres ,&nbsp;Linda J. Larson-Prior","doi":"10.1016/j.neuroimage.2025.121152","DOIUrl":"10.1016/j.neuroimage.2025.121152","url":null,"abstract":"<div><div>Electroencephalography (EEG) is used to directly measure neuronal activity and evaluate network dynamics with an excellent temporal resolution. These network dynamics in the form of EEG microstates – distinct yet transiently stable topographies captured at peaks of the global field power – are increasingly used as markers of disease, neurodegeneration, and neurodevelopment. However, few studies have evaluated EEG microstates throughout the first year of life, and currently none have examined the potential effects of infant diet. The current study seeks to investigate whether different diets impact EEG microstates throughout the first year of life. EEGs were collected from approximately 500 healthy infants who were fed a human milk, diary-, or soy-based formula at three, six, nine, and twelve months of age. Microstate classes and temporal characteristics were then calculated for each timepoint and diet. Microstates classes showed a clear developmental trajectory, with duration decreasing with age, and coverage, globally explained variance, and occurrence generally increasing with age. There were relatively few significant differences between infants fed different diets, indicating that diet potentially effects functional neurodevelopment more subtly than previously indicated in the literature. This study adds to the growing body of literature demonstrating that formula feeding does not have clear disadvantages in terms of infant functional neuronal development.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121152"},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering the neural basis of risk preferences in cooperative Dyads: A fNIRS study","authors":"Qianlan Yin ,&nbsp;Jing Wen ,&nbsp;Shuo Chen ,&nbsp;Tianya Hou ,&nbsp;Ying Liu ,&nbsp;Danni Yang ,&nbsp;Guorui Liu ,&nbsp;Peiqi Shi ,&nbsp;Wei Dong","doi":"10.1016/j.neuroimage.2025.121167","DOIUrl":"10.1016/j.neuroimage.2025.121167","url":null,"abstract":"<div><h3>Background</h3><div>Individuals' risk preferences have been shown to influence their decision-making in various contexts. However, the neural mechanisms underlying the relationship between risk preference and decision-making in a social setting remain unclear. This study utilized functional near-infrared spectroscopy (fNIRS) to investigate the neural correlates of dyadic decision-making under risk and the modulating effect of individual risk preference.</div></div><div><h3>Method</h3><div>This study examined the impact of risk preference on group decision-making using a two-phase experimental design. Based on G-power software calculations, 168 right-handed participants (62 males, 106 females, mean age 21.26±1.70) were recruited. Participants first completed a single-player Sequential Risk Task to measure risk preference, followed by group classification into three groups: Risky&amp;Risky, Risky&amp;Safe, and Safe&amp;Safe. Task performance and decision-making behavior were recorded. Functional Near-Infrared Spectroscopy (fNIRS) was employed to measure cortical activation in the prefrontal cortex, focusing on inter-brain synchrony and coupling directionality using wavelet coherence and Granger causality(GC) analyses. Data were preprocessed to remove noise, and statistical analyses included repeated measures ANOVAs, Support Vector Regression and multiple regression analyses.</div></div><div><h3>Results</h3><div>The study investigated dyadic risky decision-making among different paired groups, and the \"Risky&amp;Risky\" group showed the highest risk-seeking behavior, with a significant main effect (<em>F</em>(2,81) = 7.438, <em>P</em> = 0.001). Inter-brain synchrony showed significance during outcome periods characterized by positive feedback, notably being higher within the \"Risky&amp;Risky\" group. Granger causality analysis unveiled unique brain connectivity patterns, indicating that the GC values of \"Risky&amp;Safe\" pairs increased during the diversion condition and decreased during the cooperation condition in comparison to other pairs, albeit without reaching statistical significance. Regression analysis indicated that OFC-mdlPFC GC values and personality traits were significant predictors of risk-taking, with the moderation of these effects by group membership (<em>R²</em> _adjusted = 0.173 and 0.191).</div></div><div><h3>Conclusion</h3><div>This study employed fNIRS hyperscanning to investigate how individual differences in risk preference impact decision-making in dyadic contexts. The results indicated that variations in connectivity and information transfer between the orbitofrontal and medial prefrontal cortices underlie the distinct risk-taking behaviors exhibited by dyadic pairs. These findings underscore the pivotal role of affective and cognitive control mechanisms and individual risk personality traits in cooperative decision-making under conditions of uncertainty.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121167"},"PeriodicalIF":4.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143710897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Precision-dependent modulation of social attention","authors":"Wenhui Gao ,&nbsp;Changbo Zhu ,&nbsp;Bailu Si ,&nbsp;Liqin Zhou ,&nbsp;Ke Zhou","doi":"10.1016/j.neuroimage.2025.121166","DOIUrl":"10.1016/j.neuroimage.2025.121166","url":null,"abstract":"<div><div>Social attention, guided by cues like gaze direction, is crucial for effective social interactions. However, how dynamic environmental context modulates this process remains unclear. Integrating a hierarchical Bayesian model with fMRI, this study investigated how individuals adjusted attention based on the predictions about cue validity (CV). Thirty-three participants performed a modified Posner location-cueing task with varying CV. Behaviorally, individuals’ allocation of social attention was finely tuned to the precision (inverse variance) of CV predictions, with the predictions updated by precision-weighted prediction errors (PEs) about the occurrence of target locations. Neuroimaging results revealed that the interaction between allocation of social attention and CV influenced activity in regions involved in spatial attention and/or social perception. Precision-weighted PEs about target locations specifically modulated activity in the temporoparietal junction (TPJ), superior temporal sulcus (STS), and primary visual cortex (V1), underscoring their roles in refining attentional predictions. Dynamic causal modeling (DCM) further demonstrated that enhanced absolute precision-weighted PEs about target locations strengthened the effective connectivity from V1 and STS to TPJ, emphasizing their roles in conveying residual error signals upwards to high-level critical attention areas. These findings emphasized the pivotal role of precision in attentional modulation, enhancing our understanding of context-dependent social attention.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121166"},"PeriodicalIF":4.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143692809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}