Psychiatry Research: Neuroimaging最新文献

{"title":"Hierarchical network disruptions in Schizophrenia: A multi-level fMRI study of functional connectivity","authors":"V.S. Khorev ,&nbsp;S.A. Kurkin ,&nbsp;D. Stoyanov ,&nbsp;R. Paunova ,&nbsp;D. Najar ,&nbsp;S. Kandilarova ,&nbsp;A.E. Hramov","doi":"10.1016/j.pscychresns.2025.112078","DOIUrl":"10.1016/j.pscychresns.2025.112078","url":null,"abstract":"<div><h3>Background:</h3><div>We tested the hypothesis that Schizophrenia (SCZ) involves a systematic breakdown in brain network organization across different levels of graph-theoretical hierarchy.</div></div><div><h3>Methods:</h3><div>Using resting-state fMRI from 43 SCZ patients and 63 matched healthy controls, we implemented an analytical multi-level framework. This integrated: global graph theory metrics to assess overall network topology; macronetwork metrics to measure functional specialization of large-scale systems; network-based statistics (NBS) to identify specific, altered pathways at the local level; a multigraph model to visualize hub reorganization between networks.</div></div><div><h3>Results:</h3><div>We revealed a coherent pattern of multi-level dysfunction. Globally, SCZ networks showed increased local clustering and connection density, indicating a shift toward a less efficient, overly segregated architecture. At the macroscale, sensory and salience networks displayed elevated local connectivity, while higher-order cognitive networks (e.g., DMN, DAN) showed reduced specialization and increased cross-talk. Locally, NBS identified a core subnetwork of weakened connectivity within temporal-orbitofrontal-cingulate circuits. The multigraph model synthesized these findings, showing a widespread reduction in the integrative role of key cognitive hubs.</div></div><div><h3>Conclusions:</h3><div>Our findings establish a model of SCZ as a disorder of disintegrated brain network hierarchy, where disruptions at the level of local circuits and functional specializations collectively lead to global topological inefficiency.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112078"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145326788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural markers in excoriation disorder: Systematic review of neuroimaging evidence","authors":"Elizabeth A. Hodgdon ,&nbsp;Carlie A. Sivils ,&nbsp;Jane Ellen Smith ,&nbsp;David C. Witherington ,&nbsp;Kristina T.R. Ciesielski","doi":"10.1016/j.pscychresns.2025.112075","DOIUrl":"10.1016/j.pscychresns.2025.112075","url":null,"abstract":"<div><div>Excoriation disorder (ExD), or skin picking disorder, is a chronic body-focused repetitive behavior (BFRB) that leads to severe tissue damage, disfigurement, and psychological distress. Despite its prevalence, the neurobiological etiology of ExD remains poorly understood, hindering early diagnosis and intervention. This systematic review synthesizes findings from neuroimaging studies reporting on neural correlates of ExD. A comprehensive search of PubMed, PsycINFO, and Web of Science identified 18 studies meeting inclusion criteria. Across 784 ExD participants and 530 controls, consistent patterns emerged in brain regions related to sensorimotor inhibition, habit formation, and perceptual-affective interaction. Structural MRI showed smaller volumes in the orbitofrontal cortex, insula, and cerebellum, but increased size of nucleus accumbens, associated in previous studies with deficient inhibitory control. Task-related fMRI showed increased activation in frontal and parietal regions but diminished engagement of posterior cerebellar-prefrontal circuits during sensorimotor coordination, and amplified insula and amygdala responses to aversive stimuli. Resting-state fMRI linked ExD symptom severity with reduced supplementary motor and prefrontal connectivity. The findings consistently point to deviation in networks subserving sensorimotor-emotional integration, one of the earliest stages of brain-behavior development. A hypothesis of ExD as a developmental disorder is suggested, guiding future research to early markers of detection and prevention.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112075"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining static and dynamic brain network analysis with machine learning for enhanced diagnosis of major depressive disorder","authors":"Chenjing Sun ,&nbsp;Ruping Feng ,&nbsp;Mengyuan Liu ,&nbsp;Siyuan Ma ,&nbsp;Jiaxin Tai ,&nbsp;Jing Hu ,&nbsp;Jin Li ,&nbsp;Ning Qiang","doi":"10.1016/j.pscychresns.2025.112076","DOIUrl":"10.1016/j.pscychresns.2025.112076","url":null,"abstract":"<div><div>Major Depressive Disorder (MDD) is a common mental disorder that severely impacts patients' quality of life and social functioning. Early diagnosis is crucial for improving treatment outcomes, so rapid and accurate diagnosis of MDD is of significant importance. This paper combines static and dynamic functional connectivity analyses based on fMRI data and proposes a novel feature selection method to identify and classify brain network abnormalities in MDD patients. The advantage of this method lies in enhancing classification accuracy through feature fusion while simultaneously reducing feature dimensionality. First, whole-brain correlation analysis is performed based on fMRI functional connectivity, followed by Rich Club analysis and sliding window methods to investigate the topological properties of the intrinsic functional brain network in MDD patients. Finally, the abnormal brain network is used as a feature to classify and diagnose MDD patients and healthy controls, achieving a classification accuracy of 90.28 %. This result validates that the identified abnormal brain networks in this study have clinical significance for assisting in the diagnosis of MDD.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112076"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Volume of the amygdala, hippocampus, Heschl’s gyrus, and planum temporale in epileptic psychosis","authors":"Noriaki Hirakawa ,&nbsp;Naoya Oribe ,&nbsp;Yoji Hirano ,&nbsp;Osamu Togao ,&nbsp;Kousei Ishigami ,&nbsp;Toshiaki Onitsuka ,&nbsp;Shogo Hirano ,&nbsp;Tomohiro Nakao","doi":"10.1016/j.pscychresns.2025.112081","DOIUrl":"10.1016/j.pscychresns.2025.112081","url":null,"abstract":"<div><h3>Background</h3><div>Schizophrenia and chronic interictal epileptic psychosis (EPS) are thought to have different underlying pathophysiological mechanisms. We aimed to investigate the neural basis of EPS.</div></div><div><h3>Methods</h3><div>T1-weighted images were analyzed in 16 patients with EPS, 16 strictly matched patients with epilepsy only (EP), and 16 healthy control subjects (HS). We conducted structural magnetic resonance imaging analyses using a manual drawing method of several regions of interest (ROIs): the amygdala, hippocampus, Heschl’s gyrus, and planum temporale.</div></div><div><h3>Results</h3><div>Results revealed that both the EP and EPS groups exhibited significantly lower hippocampal volumes than the HS group (<em>p</em> = 0.008). There were no significant differences in the volume of any ROI between the EP and EPS groups.</div></div><div><h3>Conclusions</h3><div>Our ROI analyses indicated that the hippocampus is affected by epilepsy but the amygdala, hippocampus, Heschl’s gyrus, and planum temporale may not be crucial for generating EPS.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112081"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phenotypic fitting of whole-brain models to explore functional connectivity dynamics correlates of hallucinations in schizophrenia","authors":"Szymon Tyras,&nbsp;Marcin Wojnar","doi":"10.1016/j.pscychresns.2025.112080","DOIUrl":"10.1016/j.pscychresns.2025.112080","url":null,"abstract":"<div><div>The pathophysiology of schizophrenia and its associated symptoms remains poorly understood despite decades of research utilizing diverse neuroimaging techniques. Recent advancements, such as the analysis of dynamic functional connectivity in resting-state fMRI signals and the application of generative whole-brain models - computational psychiatry tool, offer novel insights into the disorder. In this exploratory study we applied a recently developed phenotypic fitting approach for whole-brain modeling to investigate functional connectivity dynamics correlates of schizophrenia symptoms. Our findings showed that higher hallucination severity was strongly correlated with functional connectivity dynamics resembling those generated by a dynamic mean field model operating with elevated excitation/inhibition balance.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112080"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repetitive transcranial magnetic stimulation for nicotine addiction: A regional homogeneity study based on resting-state fMRI","authors":"Zhiqiang Li ,&nbsp;Xuan Sha ,&nbsp;Qiaoli Zhang ,&nbsp;Siyin Li ,&nbsp;Mei Xie ,&nbsp;Tao Wang ,&nbsp;Dongyan Chen ,&nbsp;Enhui Xin ,&nbsp;Jianjun Zhang","doi":"10.1016/j.pscychresns.2025.112077","DOIUrl":"10.1016/j.pscychresns.2025.112077","url":null,"abstract":"<div><h3>Background</h3><div>Previous studies have demonstrated the efficacy of transcranial magnetic stimulation (TMS) on treating nicotine addiction. However, the underlying mechanisms remain unclear. This study aims to investigate the effects of repetitive TMS (rTMS) on nicotine addiction using resting-state functional magnetic resonance imaging (rs-fMRI).</div></div><div><h3>Materials and methods</h3><div>In this study, adult male participants with nicotine addiction were prospectively recruited, and assigned to either the rTMS group (<em>n</em> = 19) or Sham group (<em>n</em> = 12). Two groups underwent ten sessions of either real or sham rTMS treatment over a two-week period. Clinical assessments related to smoking craving and rs-fMRI scans were conducted before and after treatment. The regional homogeneity (ReHo) was utilized to explore differences in local neural synchronization between the rTMS and Sham groups.</div></div><div><h3>Results</h3><div>After treatment, the smoking cravings were significantly reduced in two groups. Significant group-by-time interaction effects were observed in the left orbital part of the inferior frontal gyrus, left middle frontal gyrus (MFG), and right angular gyrus (AG). Post-hoc analyses revealed that, compared with pre-treatment, the rTMS group exhibited increased ReHo values after treatment in these areas, while the Sham group exhibited decreased values. Furthermore, within the rTMS group, post-treatment ReHo values in the left MFG were negatively correlated with post-treatment short Tobacco Craving Questionnaire (sTCQ)-Impulse scores. Similarly, the changes in ReHo values of the left MFG from pre- to post-treatment within the rTMS group were negatively correlated with changes in sTCQ-Impulse scores.</div></div><div><h3>Conclusion</h3><div>Our findings demonstrated that rTMS treatment may improve nicotine-related dependence by modulating local neural synchronization in the prefrontal cortex (PFC) and AG. Furthermore, ReHo values in the left MFG may serve as a promising neuroimaging biomarker for predicting nicotine addiction cessation.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"354 ","pages":"Article 112077"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145326789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increased functional connectivity between motor and arousal brainstem nuclei and sensorimotor cortex in therapy resistant depression","authors":"Zeinab Houjaije ,&nbsp;Rasmus Schülke ,&nbsp;Christopher Sinke ,&nbsp;Nima Mahmoudi ,&nbsp;Mike P. Wattjes ,&nbsp;Tillmann H.C. Krüger ,&nbsp;Alborz Bastami ,&nbsp;Anastasia Gaspert ,&nbsp;Lara Schütze ,&nbsp;Selina Heim ,&nbsp;Alexandra Neyazi ,&nbsp;Stefan Bleich ,&nbsp;Helge Frieling ,&nbsp;Hannah Benedictine Maier","doi":"10.1016/j.pscychresns.2025.112062","DOIUrl":"10.1016/j.pscychresns.2025.112062","url":null,"abstract":"<div><div>The neural correlates of treatment-resistant depression (TRD) are not fully elucidated. Brainstem functional connectivity (FC) in TRD has rarely been investigated, despite the assumed role of several brainstem nuclei in depression.</div><div>23 patients and 23 sex- and age-matched healthy controls underwent resting-state functional MRI. Seed-based connectivity (SBC) was calculated for 37 brainstem seeds with motor and arousal functions. Correlations between significant FC and somatic symptom severity were computed.</div><div>FC of dorsal raphe nucleus, locus coeruleus, cuneiform nucleus and periaqueductal gray to the precentral and postcentral gyrus was increased. The anterior division of the mesencephalic reticular formation showed increased FC to left frontal pole, left superior frontal gyrus and middle temporal gyrus, whereas its lateral division showed decreased FC to frontal orbital and insular cortex, compared to healthy subjects. FC of bilateral locus coeruleus to bilateral postcentral gyrus were positively correlated with depressive symptoms and the intensity of somatic symptoms.</div><div>We found increased FC between brainstem and sensorimotor and frontal cortical regions in TRD patients compared to healthy controls. Increased brainstem-cortical FC appeared to be linked with depressive and somatic symptom severity.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"353 ","pages":"Article 112062"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the feasibility and acceptability of using fMRI to measure pain responses in women with and without postpartum depression","authors":"Sandraluz Lara-Cinisomo ,&nbsp;Michelle M. Nutlis ,&nbsp;Andrea Ramirez Olarte ,&nbsp;Bradley P. Sutton ,&nbsp;Ryan J. Larsen ,&nbsp;Hillary Schwarb","doi":"10.1016/j.pscychresns.2025.112042","DOIUrl":"10.1016/j.pscychresns.2025.112042","url":null,"abstract":"<div><div>Little is known about differences in pain perception among depressed versus non-depressed postpartum women. This novel study aimed to determine the feasibility and acceptability of enrolling non-depressed and depressed postpartum women in a laboratory-induced pain study using fMRI. Eleven non-depressed and two depressed postpartum women participated in a cold pain-induced experiment using fMRI. Feasibility and acceptability were assessed. Brain activation of the pain-associated regions of interest was measured. Participants provided subjective pain ratings (i.e., intensity and unpleasantness). The results indicated that enrolling postpartum women in a laboratory-induced pain study using fMRI is feasible. Participants found the study acceptable. The findings showed that the study’s pain device activated the amygdala and insula in the non-depressed group, with activation in the anterior cingulate cortex being marginally significant. Exploratory analyses of differences in brain activation by depression status were not statistically significant. There was a significant and positive association between depressive symptoms and pain unpleasantness. Subjective pain ratings differed by depression status but were not statistically significant. This study showed that conducting a pain experiment using fMRI with postpartum women is feasible and acceptable. Future research should include a larger sample to confirm findings and investigate the impact of depression on pain responses.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"353 ","pages":"Article 112042"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristic indicators for mild-cognitive-impairment obtained from dimension reduction of brain networks","authors":"Xinmeng Weng,&nbsp;Minghuan Xu,&nbsp;Zhanxiong Wu","doi":"10.1016/j.pscychresns.2025.112060","DOIUrl":"10.1016/j.pscychresns.2025.112060","url":null,"abstract":"<div><div>Alzheimer’s Disease (AD) is irreversible. Mild cognitive impairment (MCI) is the first symptomatic stage of AD. Distinguishing MCI patients from healthy controls (HCs) through appropriate techniques is critical for early therapeutic interventions and prolonging patients’ health. In this study, we explored characteristic indicators for MCI through dimension reduction of brain networks. After the brains (100 HCs and 100 MCIs from ADNI dataset) were partitioned into 360 parcels, one-dimension time series was extracted from diffusion and resting-state functional magnetic resonance imaging (MRI) data using network dimension-reduction techniques. Power-spectrum was then employed to transform the time series into frequency domain, to find characteristic indicators for MCI. Statistical tests indicate that the indicators (mean square frequency, and center frequency) estimated with brain network reductions could differentiate MCIs from HCs more significantly, compared with those of BOLD time series of specific AD-related subregions (hippocampus, and parieto-temporal subregions). Power-spectrum of one-dimension time series extracted with network reductions might be a viable method for distinguishing MCI progression stages. This approach could potentially facilitate earlier and more precise differentiation between MCIs and HCs, showing future clinical applicability.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"353 ","pages":"Article 112060"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abnormal eye movement patterns in adolescent and early adulthood MDD patients with and without psychotic symptoms: A multi-paradigm feature-based study","authors":"Xin-Cheng-Cheng Huang ,&nbsp;Qiao-Yan Guan ,&nbsp;Mei-Jun Jiang ,&nbsp;Qian-Ting Yu,&nbsp;Wan-Qi Ou,&nbsp;Yue-Ya Wang,&nbsp;Zhen Xiao,&nbsp;Ji-Fan Zhang,&nbsp;Xing-Chang Liu,&nbsp;Cai-Lan Hou,&nbsp;Ming Chen","doi":"10.1016/j.pscychresns.2025.112064","DOIUrl":"10.1016/j.pscychresns.2025.112064","url":null,"abstract":"<div><h3>Background</h3><div>Major depressive disorder (MDD) heterogeneity is frequently overlooked in current diagnostic approaches, despite evidence that certain subtypes, particularly MDD with psychotic symptoms (MDDwP), are associated with poorer prognoses. Eye movement assessment has demonstrated promise as a potential biomarker for psychiatric disorders; however, research into eye movement patterns in MDD with and without psychotic features is scarce. This study aimed to investigate the potential value of eye movement as a biomarker for MDD.</div></div><div><h3>Methods</h3><div>This study enrolled 69 participants, including 15 patients with major depressive episodes without psychotic symptoms (MDDwoP), 17 patients with MDDwP, and 37 healthy controls (HC). Eye-movement characteristics were collected using three paradigms: smooth tracking, dual-task tracking, and free viewing.</div></div><div><h3>Results</h3><div>No significant differences emerged among groups in smooth tracking (<em>P</em>&gt; 0.05). In the dual-task tracking, the MDDwP group had a greater number of excursions (<em>P</em>= 0.008) and a greater total excursion (<em>P</em>= 0.023) than the HC group. In the free-viewing task, patients in both groups exhibited significantly higher saccade counts (<em>P</em>= 0.031 for both groups) and fixation counts (<em>P</em>= 0.013; <em>P</em>= 0.025) than the HC group.</div></div><div><h3>Conclusion</h3><div>Patients with MDDwP have specific eye movement abnormalities indicating impaired attention allocation and multitasking abilities. The alterations observed in both depressed groups likely reflect compensatory cognitive resource allocation. These distinctive patterns provide evidence supporting eye-tracking technology as a potential objective diagnostic biomarker for MDD subtypes.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"353 ","pages":"Article 112064"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}