Journal of Magnetic Resonance Imaging最新文献

{"title":"Neuromodulation in Small Animal fMRI.","authors":"Li-Ming Hsu, Yen-Yu Ian Shih","doi":"10.1002/jmri.29575","DOIUrl":"10.1002/jmri.29575","url":null,"abstract":"<p><p>The integration of functional magnetic resonance imaging (fMRI) with advanced neuroscience technologies in experimental small animal models offers a unique path to interrogate the causal relationships between regional brain activity and brain-wide network measures-a goal challenging to accomplish in human subjects. This review traces the historical development of the neuromodulation techniques commonly used in rodents, such as electrical deep brain stimulation, optogenetics, and chemogenetics, and focuses on their application with fMRI. We discuss their advantageousness roles in uncovering the signaling architecture within the brain and the methodological considerations necessary when conducting these experiments. By presenting several rodent-based case studies, we aim to demonstrate the potential of the multimodal neuromodulation approach in shedding light on neurovascular coupling, the neural basis of brain network functions, and their connections to behaviors. Key findings highlight the cell-type and circuit-specific modulation of brain-wide activity patterns and their behavioral correlates. We also discuss several future directions and feature the use of mediation and moderation analytical models beyond the intuitive evoked response mapping, to better leverage the rich information available in fMRI data with neuromodulation. Using fMRI alongside neuromodulation techniques provide insights into the mesoscopic (relating to the intermediate scale between single neurons and large-scale brain networks) and macroscopic fMRI measures that correlate with specific neuronal events. This integration bridges the gap between different scales of neuroscience research, facilitating the exploration and testing of novel therapeutic strategies aimed at altering network-mediated behaviors. In conclusion, the combination of fMRI with neuromodulation techniques provides crucial insights into mesoscopic and macroscopic brain dynamics, advancing our understanding of brain function in health and disease. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142289235","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":"Editorial for “Longitudinal Multi‐Parametric Quantitative MRI Evaluation of Acute and Chronic Multiple Sclerosis Paramagnetic Rim Lesions”","authors":"Yue Zhang","doi":"10.1002/jmri.29585","DOIUrl":"https://doi.org/10.1002/jmri.29585","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"40 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258421","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":"Arterial Spin Labeling (ASL) MRI in Evaluating Pancreatic Blood Perfusion in Subjects With Different Glucose Tolerances","authors":"Yuling Zhang, Zhengzheng Tao, Qian Ji","doi":"10.1002/jmri.29608","DOIUrl":"https://doi.org/10.1002/jmri.29608","url":null,"abstract":"BackgroundThe pancreas plays a central role in type 2 diabetes mellitus (T2DM), and its blood flow is usually associated with insulin release demand.PurposeTo noninvasively assess pancreatic blood flow (PBF) changes and modulation in people with different glucose tolerance following a glucose challenge using ASL MRI.Study TypeProspective.SubjectsFourteen prediabetes, 22 T2DM, and 40 normal.Field Strength/SequencePseudo‐continuous ASL with a turbo gradient spin echo sequence at 3.0 T.AssessmentAll normal and subjects (diagnosed by oral glucose tolerance test) underwent ASL after fasting for at least 6 hours. The normal and prediabetes groups additionally had ASL scans at 5, 10, 15, 20, and 25 minutes following oral glucose (50 mL, 5%). PBF maps were generated from the ASL data and measured at body and tail. The ability of baseline PBF (BL‐PBF) of body, tail (BL‐PBF<jats:sub>tail</jats:sub>), and their average to determine abnormal glucose tolerance and stage was assessed.Statistical TestsANOVA, Mann–Whitney <jats:italic>U</jats:italic> test, Kruskal–Wallis H test, paired sample <jats:italic>t</jats:italic>‐test, intra‐class correlation coefficient, repeated measures ANOVA, correlation analysis, receiver operating characteristic analysis, and logistic regression analysis. A <jats:italic>P</jats:italic> value &lt;0.05 was considered significant.ResultsThere were significant differences in BL‐PBF among the three groups. The prediabetes group exhibited significantly lower PBF than the normal group at all time points; Both groups showed similar changing trends in PBF (peaking at the 15th minute and subsequently declining). The BL‐PBF<jats:sub>tail</jats:sub> had the highest diagnostic performance when evaluating abnormal glucose tolerance or stage (area under the curves = 0.800, 0.584, respectively) and was an independent risk factor for glucose tolerance status.Data ConclusionASL can noninvasively assess changes in PBF among individuals with varying glucose tolerance and in response to glucose challenge, which could be linked to insulin release demand and might help characterize changes in pancreatic endocrine function.Evidence Level2Technical EfficacyStage 1","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"43 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185833","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":"Evaluation of Middle Cerebral Artery Culprit Plaque Inflammation in Ischemic Stroke Using CAIPIRINHA‐Dixon‐TWIST Dynamic Contrast‐Enhanced Magnetic Resonance Imaging","authors":"Junxia Niu, Yuncai Ran, Rui Chen, Yan Zhang, Yong Zhang, Qi Yang, Jingliang Cheng","doi":"10.1002/jmri.29576","DOIUrl":"https://doi.org/10.1002/jmri.29576","url":null,"abstract":"BackgroundMiddle cerebral artery (MCA) plaques are a leading cause of ischemic stroke (IS). Plaque inflammation is crucial for plaque stability and urgently needs quantitative detection.PurposeTo explore the utility of Controlled Aliasing in Parallel Imaging Results in Higher Acceleration (CAIPIRINHA)‐Dixon‐Time‐resolved angiography With Interleaved Stochastic Trajectories (TWIST) (CDT) dynamic contrast‐enhanced MRI (DCE‐MRI) for evaluating MCA culprit plaque inflammation changes over stroke time and with diabetes mellitus (DM).Study TypeProspective.PopulationNinety‐four patients (51.6 ± 12.23 years, 32 females, 23 DM) with acute IS (AIS; N = 43) and non‐acute IS (non‐AIS; 14 days &lt; stroke time ≤ 3 months; N = 51).Field Strength/Sequence3‐T, CDT DCE‐MRI and three‐dimensional (3D) Sampling Perfection with Application optimized Contrast using different flip angle Evolution (3D‐SPACE) T1‐weighted imaging (T1WI).AssessmentStroke time (from initial IS symptoms to MRI) and DM were registered. For 94 MCA culprit plaques, K<jats:sup>trans</jats:sup> from CDT DCE‐MRI and enhancement ratio (ER) from 3D‐SPACE T1WI were compared between groups with and without AIS and DM.Statistical TestsShapiro–Wilk test, Bland–Altman analysis, Passing and Bablok test, independent <jats:italic>t</jats:italic>‐test, Mann–Whitney <jats:italic>U</jats:italic> test, Chi‐squared test, Fisher's exact test, receiver operating characteristics (ROC) with the area under the curve (AUC), DeLong's test, and Spearman rank correlation test with the <jats:italic>P</jats:italic>‐value significance level of 0.05.ResultsK<jats:sup>trans</jats:sup> and ER of MCA culprit plaques were significantly higher in AIS than non‐AIS patients (K<jats:sup>trans</jats:sup> = 0.098 s<jats:sup>−1</jats:sup> vs. 0.037 s<jats:sup>−1</jats:sup>; ER = 0.86 vs. 0.55). K<jats:sup>trans</jats:sup> showed better AUC for distinguishing AIS from non‐AIS patients (0.87 vs. 0.75) and stronger negative correlation with stroke time than ER (<jats:italic>r</jats:italic> = −0.60 vs. −0.34). DM patients had significantly higher K<jats:sup>trans</jats:sup> and ER than non‐DM patients in IS and AIS groups.Data ConclusionImaging by CDT DCE‐MRI may allow to quantitatively evaluate MCA culprit plaques over stroke time and DM.Evidence Level2Technical EfficacyStage 2","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"39 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224302","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":"Editorial for “Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer”","authors":"Iman Yazdani Nia, Bharath Ambale‐Venkatesh","doi":"10.1002/jmri.29592","DOIUrl":"https://doi.org/10.1002/jmri.29592","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"32 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185832","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":"Same‐Day Repeatability and 28‐Day Reproducibility of Xenon MRI Ventilation in Children With Cystic Fibrosis in a Multi‐Site Trial","authors":"Laura L. Walkup, David J. Roach, Joseph W. Plummer, Matthew M. Willmering, Brandon Zanette, Giles Santyr, Sean B. Fain, Michael J. Rock, Jaime Mata, Deborah Froh, Sanja Stanojevic, Zackary I. Cleveland, Felix Ratjen, Jason C. Woods","doi":"10.1002/jmri.29605","DOIUrl":"https://doi.org/10.1002/jmri.29605","url":null,"abstract":"BackgroundMRI with xenon‐129 gas (Xe MRI) can assess airflow obstruction and heterogeneity in lung diseases. Specifically, Xe MRI may represent a sensitive modality for future therapeutic trials of cystic fibrosis (CF) therapies. The reproducibility of Xe MRI has not yet been assessed in the context of a multi‐site study.PurposeTo determine the same‐day repeatability and 28‐day reproducibility of Xe MRI in children with CF.Study TypeFour‐center prospective, longitudinal.PopulationThirty‐eight children (18 females, 47%), median interquartile range (IQR) age 12 (9–14) years old, with mild CF (forced expiratory volume in 1 second (FEV<jats:sub>1</jats:sub>) ≥85% predicted).Field Strength/Sequence3‐T, two‐dimensional (2D) gradient‐echo (GRE) sequence.AssessmentXe MRI, FEV<jats:sub>1</jats:sub>, and nitrogen multiple‐breath wash‐out for lung‐clearance index (LCI<jats:sub>2.5</jats:sub>) were performed. To assess same‐day reproducibility, Xe MRI was performed twice within the first visit, and procedures were repeated at 28 days. Xe hypoventilation was quantified using ventilation‐defect percentage (VDP) and reader‐defect volume (RDV). For VDP, hypoventilated voxels from segmented images were identified using a threshold of &lt;60% mean whole‐lung signal and expressed as a percentage of the lung volume. For RDV, hypoventilation was identified by two trained readers and expressed as a percentage.Statistical TestsInter‐site comparisons were conducted using Kruskal–Wallis nonparametric tests with Dunn's multiple‐comparisons tests. Differences for individuals were assessed using Wilcoxon matched‐pairs tests. Bland–Altman tests were used to evaluate same‐day repeatability, 28‐day reproducibility, and inter‐reader agreement. A <jats:italic>P</jats:italic>‐value ≤0.05 was considered significant.ResultsMedian FEV<jats:sub>1</jats:sub> %‐predicted was 96.8% (86%–106%), and median LCI<jats:sub>2.5</jats:sub> was 6.6 (6.3–7.4). Xe MRI had high same‐day reproducibility (mean VDP difference 0.12%, 95% limits of agreement [−3.2, 3.4]; mean RDV difference 0.42% [−2.5, 3.3]). At 28 days, 26/31 participants (84%) fell within the same‐day 95% limits of agreement.Data ConclusionXe MRI may offer excellent same‐day and short‐term reproducibility.Evidence Level2Technical EfficacyStage 2","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"18 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185842","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":"Utilizing Radiomics of Peri‐Lesional Edema in T2‐FLAIR Subtraction Digital Images to Distinguish High‐Grade Glial Tumors From Brain Metastasis","authors":"Emin Demirel, Okan Dilek","doi":"10.1002/jmri.29572","DOIUrl":"https://doi.org/10.1002/jmri.29572","url":null,"abstract":"BackgroundDifferentiating high‐grade glioma (HGG) and isolated brain metastasis (BM) is important for determining appropriate treatment. Radiomics, utilizing quantitative imaging features, offers the potential for improved diagnostic accuracy in this context.PurposeTo differentiate high‐grade (grade 4) glioma and BM using machine learning models from radiomics data obtained from T2‐FLAIR digital subtraction images and the peritumoral edema area.Study TypeRetrospective.PopulationThe study included 1287 patients. Of these, 602 were male and 685 were female. Of the 788 HGG patients included in the study, 702 had solitary masses. Of the 499 BM patients included in the study, 112 had solitary masses. Initially, the model was developed and tested on solitary masses. Subsequently, the model was developed and tested separately for all patients (solitary and multiple masses).Field Strength/SequenceAxial T2‐weighted fast spin‐echo sequence (T2WI) and T2‐weighted fluid‐attenuated inversion recovery sequence (T2‐FLAIR), using 1.5‐T and 3.0‐T scanners.AssessmentRadiomic features were extracted from digitally subtracted T2‐FLAIR images in the area of peritumoral edema. The maximum relevance‐minimum redundancy (mRMR) method was then used for dimensionality reduction. The naive Bayes algorithm was used in model development. The interpretability of the model was explored using SHapley Additive exPlanations (SHAP).Statistical TestsChi‐square test, one‐way analysis of variance, and Kruskal–Wallis test were performed. The <jats:italic>P</jats:italic> values &lt;0.05 were considered statistically significant. The performance metrics include area under curve (AUC), sensitivity (SENS), and specificity (SPEC).ResultsThe mean age of HGG patients was 61.4 ± 13.2 years and 61.7 ± 12.2 years for BM patients. In the external validation cohort, the model achieved AUC: 0.991, SENS: 0.983, and SPEC: 0.922. The external cohort results for patients with solitary lesions were AUC: 0.987, SENS: 0.950, and SPEC: 0.922.Data ConclusionThe artificial intelligence model, developed with radiomics data from the peritumoral edema area in T2‐FLAIR digital subtraction images, might be able to differentiate isolated BM from HGG.Evidence Level3Technical EfficacyStage 2","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"41 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185841","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":"Editorial for \"Simultaneous Increase of Mean Susceptibility and Mean Kurtosis in the Substantia Nigra as an MRI Neuroimaging Biomarker for Early-Stage Parkinson's Disease: A Systematic Review and Meta-Analysis\".","authors":"Rodolfo G Gatto, Hossam Youssef","doi":"10.1002/jmri.29601","DOIUrl":"https://doi.org/10.1002/jmri.29601","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154283","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":"MRI Assessment of Cerebral White Matter Microvascular Hemodynamics Across the Adult Lifespan","authors":"Nikou L. Damestani PhD,&nbsp;John Jacoby BS,&nbsp;Christa B. Michel BS,&nbsp;Barnaly Rashid PhD,&nbsp;David H. Salat PhD,&nbsp;Meher R. Juttukonda PhD","doi":"10.1002/jmri.29606","DOIUrl":"https://doi.org/10.1002/jmri.29606","url":null,"abstract":"<p>EFFECT OF AGE ON (A) CBF, (B) ATT, AND (D) FA, WHERE (C) DEMONSTRATES THE OVERLAY OF THE CBF AND ATT MAPS FOR ASSOCIATIONS WITH AGE. RESULTS ARE PRESENTED AFTER MULTIPLE COMPARISONS CORRECTION (PTFCE &lt; 0.05) AND CONTROLLING FOR SEX. MORE WIDESPREAD ASSOCIATIONS WITH AGE ARE PREVALENT FOR ATT IN COMPARISON WITH CBF. DICE COEFFICIENT BETWEEN CBF DECREASING WITH AGE AND ATT INCREASING WITH AGE UPON THRESHOLDING AT PFWE &lt; 0.05 = 0.8045, INDICATING HIGH OVERLAP OF THESE MEASURES OF HEMODYNAMICS. LOWER FA WAS GENERALLY ASSOCIATED WITH INCREASING AGE, THOUGH HIGHER FA WAS ASSOCIATED WITH INCREASING AGE IN THE SURROUNDING RETROLENTICULAR PART OF THE INTERNAL CAPSULE. BY DAMESTANI ET AL. (1549–1562)\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"60 4","pages":"spcone"},"PeriodicalIF":3.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.29606","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165367","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":"Editorial for \"Initial Experience of Metabolic Imaging With Hyperpolarized [1-¹³C]pyruvate MRI in Kidney Transplant Patients\".","authors":"Malene Aastrup, Uffe Kjærgaard, Christoffer Laustsen","doi":"10.1002/jmri.29582","DOIUrl":"https://doi.org/10.1002/jmri.29582","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145778","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}