Journal of Neuroscience最新文献

{"title":"CaMKIIβ-mediated phosphorylation enhances protein stability of spastin to promote neurite outgrowth.","authors":"Jianyu Zou,Changbin Lei,Yunlong Zhang,Ao Ma,Zhichao Meng,Jiehao Zhu,Hongsheng Lin,Guowei Zhang,Yaozhong Liang,Minghui Tan","doi":"10.1523/jneurosci.1995-24.2025","DOIUrl":"https://doi.org/10.1523/jneurosci.1995-24.2025","url":null,"abstract":"Neurite outgrowth is critically controlled by calcium influx-mediated cytoskeleton dynamics. Spastin, a AAA ATPase microtubule severing protein, also plays an important role in neurite outgrowth. However, the detailed mechanisms underlying post-transcriptional fine-tuning spastin activity, particularly in the context of calcium signaling, remain elusive. Here, we identified Ca2+/calmodulin-dependent protein kinase II beta isoform (CaMKIIβ) acted as an upstream kinase to mediate the phosphorylation of spastin. CaMKIIβ interacted with and phosphorylated spastin on Ser233 and Ser562 amino acids. Moreover, CaMKIIβ-mediated phosphorylation reduced the poly-ubiquitination level of spastin and suppressed its proteasomal degradation. This enhanced protein stability by CaMKIIβ increased the microtubule severing activity of spastin and coordinately promoted the neurite outgrowth in hippocampal neurons. Inhibition of spastin or CaMKIIβ impaired synaptic activity, as evidenced by reduced frequency and amplitude of miniature excitatory postsynaptic currents (mEPSCs). Behaviorally, treatment with spastin or CaMKIIβ inhibitors led to deficits in short-term working memory and spatial learning, as assessed by Y-maze and Morris water maze tests in male mice, respectively. In general, this study unveils a novel mechanism whereby CaMKIIβ-mediated phosphorylation of spastin connects extracellular calcium signaling to the regulation of cytoskeleton dynamics and neurite outgrowth.Significance Statement This work uncovers a novel molecular mechanism that links calcium signaling to cytoskeletal remodeling and neural function. We demonstrate that CaMKIIβ phosphorylates spastin, enhancing its stability by reducing polyubiquitination and proteasomal degradation. This post-transcriptional regulation increases spastin's microtubule-severing activity, thereby promoting neurite outgrowth in hippocampal neurons. Furthermore, inhibition of CaMKIIβ or spastin impairs synaptic transmission and cognitive performance, highlighting their critical roles in neuronal development and function. Overall, the study identifies CaMKIIβ as a key upstream regulator of spastin, offering new insights into how calcium influx governs neurite extension and memory-related behavior, with potential implications for neurological disease mechanisms and therapeutic strategies.","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"36 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vocal error monitoring in the primate auditory cortex.","authors":"Steven J Eliades, Joji Tsunada","doi":"10.1523/JNEUROSCI.0090-25.2025","DOIUrl":"https://doi.org/10.1523/JNEUROSCI.0090-25.2025","url":null,"abstract":"<p><p>Sensory-motor control requires the integration and monitoring of sensory feedback resulting from our behaviors. This self-monitoring is thought to result from comparisons between predictions about the expected sensory consequences of action and the feedback actually received, resulting in activity that encodes feedback error. Although similar mechanisms have been proposed during speech and vocal production, including sensitivity to experimentally-perturbed auditory feedback, evidence for a vocal 'error signal' has been limited. Here, we recorded from the auditory cortex of vocalizing non-human primates, using real-time frequency shifts to introduce feedback errors of varying magnitude and direction. We found neural activity that scaled with the magnitude of feedback error in both directions, consistent with vocal error monitoring at both the individual unit and population levels. This feedback sensitivity was greater than expected based upon passive sensory responses and was specific for units in the vocal frequency range. Feedback responses also predicted subsequent compensatory changes in vocal production. These results provide evidence that the auditory cortex encodes the degree of vocal feedback error using both unit-level error calculations and changes in the population of neurons involved. These mechanisms may provide critical error information necessary for feedback-dependent vocal control.<b>Significance statement</b> Sensory feedback plays an important role in motor control, including feedback-dependent control of speech and voice. Encoding of this feedback is thought to depend upon calculating an 'error signal' between predicted and actual sensory inputs, however direct evidence for vocal error coding has been limited. Using real-time frequency shifts to perturb vocal feedback, we show that neurons in the auditory cortex are sensitive to both the magnitude and direction of vocal feedback error, both at the individual and population level, and that their activity predicts subsequent compensatory vocal changes. We discuss these findings in the context of different models of sensory prediction and feedback error calculation, and their potential role in behavioral control.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bmal1 Modulates Striatal cAMP Signaling and Motor Learning.","authors":"Casey E Cryan, Yini Liao, Josephine H Widjaja, Douglas C Sloan, Qimei Han, R Daniel Rudic, Brian S Muntean","doi":"10.1523/JNEUROSCI.0474-24.2025","DOIUrl":"10.1523/JNEUROSCI.0474-24.2025","url":null,"abstract":"<p><p>The circadian rhythm shapes behavioral processes by providing temporal cues for molecular regulation and adaptation in the hypothalamus of the brain. Deeper yet in the striatum of the brain, circadian rhythm also exerts an impact, conditioning diurnal patterns in neurodegenerative-related motor dysfunction. While motor properties are clearly linked to striatal dopamine, the interplay between the circadian rhythm with the key circadian transcription factor Bmal1 and dopamine signal decoding remains unknown. Here, we utilized both sexes of global and local striatal Bmal1 knock-out mice to investigate changes in dopamine-mediated cAMP signaling and motor behavior. By conducting a 24 h time-course study, we first established Bmal1-dependent molecular signatures in striatal dopamine signaling machinery that correlated with cAMP levels. Next, recording real-time signal transduction with a two-photon FRET biosensor in brain slices revealed diminished efficacy of dopamine signaling in the absence of Bmal1. As a final functional outcome, we then found that striatal Bmal1 was necessary for motor learning in mice. Altogether, our data support a strong connection between striatal Bmal1 and dopamine signaling with potential impact in brain-related motor function.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144235812","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":"Attentional Precursors of Errors Predict Error-Related Brain Activity.","authors":"Martin E Maier, Marco Steinhauser","doi":"10.1523/JNEUROSCI.0757-25.2025","DOIUrl":"10.1523/JNEUROSCI.0757-25.2025","url":null,"abstract":"<p><p>The error negativity or error-related negativity (Ne/ERN), a correlate of errors in choice tasks, is related to posterror adjustments indicating that it signals the need for behavioral adjustments following errors. However, little is known about how the error monitoring system selects appropriate posterror adjustments for a given error to ensure that future errors are effectively prevented. This could be achieved by monitoring error precursors indicating potential error sources and then scaling the Ne/ERN according to the strength of the error precursor upon error occurrence. We isolated such an error precursor in alpha oscillations and tested whether it predicts the size of the Ne/ERN. A total of 28 participants (23 female, 5 male) had to classify a target in one hemifield but ignore a distractor in the opposite hemifield. Because responding to the distractor always led to an error, misallocating spatial attention to the distractor as reflected in posterior alpha was a viable error precursor in this paradigm. We found that an alpha asymmetry reversal indicated a shift of spatial attention to the distractor on error trials and predicted the Ne/ERN on a single-trial level. The Ne/ERN in turn predicted alpha asymmetry on the next trial indicating a shift of spatial attention away from the distractor. This is consistent with the idea that the error monitoring system scales the Ne/ERN according to the strength of error precursors to select appropriate posterror adjustments of behavior.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295243","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":"Activation of dopamine D1 receptors at the axon initial segment-like process of retinal AII amacrine cells modulates action potential firing.","authors":"Margaret L Veruki,Jian Hao Liu,Jeet B Singh,Matteo S Luppi,Espen Hartveit","doi":"10.1523/jneurosci.0736-25.2025","DOIUrl":"https://doi.org/10.1523/jneurosci.0736-25.2025","url":null,"abstract":"Dopamine is an important neuromodulator found throughout the central nervous system that can influence neural circuits involved in sensory, motor, and cognitive functions. In the retina, dopamine is released by specific amacrine cells and plays a role in reconfiguring circuits for photopic vision. This adaptation takes place both in photoreceptors and at post-receptoral sites. The AII amacrine cell, which plays a crucial role for transmission of both scotopic and photopic visual signals, has been considered an important target of dopaminergic modulation, expressed as a change in the strength of electrical coupling mediated by gap junctions between the AIIs. It has been difficult, however, to find clear evidence for expression of dopamine receptors by AII amacrines. Here, we combined injection of fluorescent dye in AIIs with immunolabeling of type 1 dopamine receptors (D1Rs) and made the surprising observation that D1Rs, along with KCNQ2, an M-type K+ channel, are expressed at the AII axon initial segment-like process (AII-AIS) that also expresses voltage-gated Na+ (Nav) channels and generates action potentials. With current-clamp recording of AIIs in rat (male, female) retinal slices, we found that D1R activation reduced spike frequency and increased spike threshold. Taken together with experiments using immunolabeling, pharmacological manipulation, and computational modeling, our results suggest that activation of D1Rs on AIIs reduce the intrinsic excitability of these cells, likely mediated by an intracellular signal transduction pathway involving cAMP, PKA, and phosphorylation of Nav channels in the AII-AIS. These results suggest a novel mechanism for the role of dopamine in retinal adaptation.Significance statement In the retina, as elsewhere in the central nervous system, dopamine is an important neuromodulator. Dopamine is released by light and, via volume diffusion, mediates adaptation of the visual system to changes in light levels through several incompletely understood mechanisms. Here, we find that dopamine D1 receptors are located, together with voltage-gated Na+ and K+ channels, at the specialized axon initial segment-like process of the AII amacrine, a highly interconnected interneuron that participates in multiple microcircuits in both rod and cone pathways. Our physiological experiments suggest that activation of D1 receptors reduces the excitability of AII amacrines by increasing the threshold of action potential initiation. Our results extend our understanding of dopamine's roles in the retina.","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"4 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144594376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Somatosensory cortex and body representation: Updating the motor system during a visuo-proprioceptive cue conflict.","authors":"Jasmine L Mirdamadi, Reshma Babu, Manasi Wali, Courtney R Seigel, Anna Hsiao, Trevor Lee-Miller, Hannah J Block","doi":"10.1523/JNEUROSCI.0181-25.2025","DOIUrl":"10.1523/JNEUROSCI.0181-25.2025","url":null,"abstract":"<p><p>The brain's representation of hand position is critical for voluntary movement. Representation is multisensory, combining visual and proprioceptive cues. When these cues conflict, the brain recalibrates its unimodal estimates, shifting them closer together to compensate. Research suggests such updates to body representation are communicated to the motor system to keep hand movements accurate. The neural mechanism is unclear and may depend on how the brain integrates and recalibrates visuo-proprioceptive signals: models ranging from hierarchical convergence after unisensory processing to more distributed frameworks have been proposed. We hypothesized that primary somatosensory cortex (S1) is crucial in this updating process due to its role in proprioception and connections with both primary motor cortex (M1) and multisensory regions of posterior parietal cortex (PPC). In human participants of both sexes, Experiment 1 showed that short latency afferent inhibition, a measure of somatosensory-motor integration, changed with proprioceptive recalibration, and only in the presence of a cue conflict. This indicates that S1 activity reflects the results of multisensory computations and is inconsistent with a pure hierarchical convergence model of visuo-proprioceptive integration. Experiment 2 found that modulating S1, but not M1, with repetitive transcranial magnetic stimulation increased proprioceptive variance and recalibration. This is consistent with the idea that motor effects of proprioceptive recalibration are mediated by the S1-to-M1 pathway, although not directly controlled by M1 itself. The specificity of our findings to proprioceptive-not visual-recalibration argues against a fully distributed framework, but our findings support a model of multisensory integration with reciprocal interactions between S1 and PPC.<b>Significance Statement</b> Representation of the hand, which is critical for accurate control of movement, comes from weighting and combining available proprioceptive (position sense) and visual cues. Our results suggest that when the hand representation is modified by introducing a conflict between these cues, the motor system receives updates directly from the primary somatosensory cortex (S1). These updates are specific to the change in proprioceptive representation and are absent when cues are not in conflict, suggesting S1 activity reflects the result of visuo-proprioceptive computations. This is inconsistent with a hierarchical convergence model of multisensory integration, but could reflect reciprocal interactions between S1 and multisensory regions of posterior parietal cortex.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.","authors":"Hamed Karimi, Jianxin Wang, Stefano Anzellotti","doi":"10.1523/JNEUROSCI.1164-24.2025","DOIUrl":"10.1523/JNEUROSCI.1164-24.2025","url":null,"abstract":"<p><p>Visual information consists of static and dynamic properties. How is their representation organized in the visual system? Static information has been associated with ventral temporal regions while dynamic information with lateral and dorsal regions. Investigating the representation of static and dynamic information is complicated by the correlation between static and dynamic information within continuous visual input. Here, we used two-stream deep convolutional neural networks (DCNNs) to separate static and dynamic features in quasi-naturalistic videos and to investigate their neural representations. The first DCNN stream was trained to represent static features by recognizing action labels using individual video frames, and the second DCNN stream was trained to encode dynamic features by recognizing actions from optic flow information that describes changes across different frames. To investigate the representation of these different types of features in the visual system, we used representational similarity analysis to compare the neural network models to the neural responses in different visual pathways of 14 human participants (six females). First, we found that both static and dynamic features are encoded across all visual pathways. Second, we found that distinct visual pathways represent overlapping as well as unique static and dynamic visual information. Finally, multivariate analysis revealed that ventral and dorsal visual pathways share a similar posterior-to-anterior gradient in the representation of static and dynamic visual features.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210071","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":"Neural Distinction between Visual Word and Object Recognition: An fMRI Study Using Pictographs.","authors":"Jiahong Zeng, Yudan Luo, Xiangqi Luo, Saiyi Jiao, Ke Wang, Zhenjiang Cui, Chunyu Zhao, Zhiyun Dai, Yuxin Liu, Yidong Jiang, Zaizhu Han","doi":"10.1523/JNEUROSCI.2322-24.2025","DOIUrl":"10.1523/JNEUROSCI.2322-24.2025","url":null,"abstract":"<p><p>It remains an open question in visual neuroscience whether the recognition of written words and visual objects engages distinct neural mechanisms intrinsically, unaffected by confounding factors such as stimulus properties and task demands, and, if so, where these differences are localized. Previous studies comparing these two processes have faced challenges in simultaneously controlling stimulus properties, including low-level visual features and high-level phonological and semantic attributes, as well as task demands. Here, we addressed these issues using Chinese pictographs, visually identical stimuli that can be interpreted either as words (lexical symbols) or as objects (visual depictions) and that were rigorously matched in a visual form, phonology, and semantics. During functional magnetic resonance imaging, 36 male and female human participants performed three language tasks (realness judgment, sound retrieval, and meaning judgment) on pictographs that were contextually recognized as words or objects, with each task applied to both recognition types under identical procedures. Results revealed robust word-object differences in the inferior parietal lobule (IPL), anterior cingulate cortex (ACC), and their associated networks. Compared with object recognition, word recognition elicited stronger activation in the IPL and reduced deactivation in the ACC. Furthermore, both regions exhibited distinct multivoxel activation patterns between the word and object recognition and showed stronger functional connectivity with other brain regions specifically during word recognition. This study provides well-controlled evidence for intrinsic neural dissociations between word and object recognition, highlighting a parietal-cingulate network as a core substrate differentiating these processes.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188407","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":"EEG Correlates of Active Removal from Working Memory.","authors":"Jiangang Shan, Bradley R Postle","doi":"10.1523/JNEUROSCI.2414-24.2025","DOIUrl":"10.1523/JNEUROSCI.2414-24.2025","url":null,"abstract":"<p><p>The removal of no-longer-relevant information from visual working memory (WM) is important for the functioning of WM, given its severe capacity limitation. Previously, with an \"ABC-retrocuing\" WM task, we have shown that removing information can be accomplished in different ways: by simply withdrawing attention from the newly irrelevant memory item (IMI; i.e., via \"passive removal\") or by \"actively\" removing the IMI from WM (Shan and Postle, 2022). Here, to investigate the neural mechanisms behind active removal, we recorded electroencephalogram (EEG) signals from human subjects (both sexes) performing the ABC-retrocuing task. Specifically, we tested the hijacked adaptation model, which posits that active removal is accomplished by a top-down-triggered down-modulation of the gain of perceptual circuits, such that sensory channels tuned to the to-be-removed information become less sensitive. Behaviorally, analyses revealed that, relative to passive removal, active removal produced a decline in the familiarity landscape centered on the IMI. Neurally, we focused on two epochs of the task, corresponding to the triggering, and to the consequence, of active removal. With regard to triggering, we observed a stronger anterior-to-posterior traveling wave for active versus passive removal. With regard to the consequence(s) of removal, the response to a task-irrelevant \"ping\" was reduced for active removal, as assessed with ERP, suggesting that active removal led to decreased excitability in perceptual circuits centered on the IMI.</p>","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144310699","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":"Obesity and Gut-Brain Communication: The Cholinergic-Endocannabinoid Link.","authors":"Lauren A Jones,Cecilia Skoug","doi":"10.1523/jneurosci.1204-24.2025","DOIUrl":"https://doi.org/10.1523/jneurosci.1204-24.2025","url":null,"abstract":"","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"147 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144594380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}