Journal of Magnetic Resonance Imaging最新文献

{"title":"Structural MRI Volumetry Index for Differentiation of Progressive Supranuclear Palsy From Parkinson's Disease and Multiple System Atrophy by Automatic Segmentation: A Comparison With Magnetic Resonance Parkinsonism Index","authors":"Mingnan Jia, Hui You, Zhaoxi Liu, Yichun Wang, Han Wang, Mingli Li, Feng Feng","doi":"10.1002/jmri.70418","DOIUrl":"10.1002/jmri.70418","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Although Parkinson's disease (PD) and Parkinsonism-Plus syndromes (PPS) exhibit distinct brain atrophy, current clinical differentiation heavily relies on manual, plane-specific 2D metrics, which are labor-intensive and observer-dependent. To fill this gap, this study developed an automated, software-independent metric—the parkinsonism volumetric index (PDSVI)—calculated as [(pons volume × third ventricle volume)/(midbrain volume × thalamus volume) × 10].</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To evaluate the performance of PDSVI in precisely differentiating progressive supranuclear palsy (PSP) from PD, multiple system atrophy cerebellar (MSA-C) and parkinsonian (MSA-P) types.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Retrospective.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Population</h3>\u0000 \u0000 <p>246 PD, 108 PSP, 63 MSA-C, 63 MSA-P (<i>N</i> = 480, 253 males and 227 females; mean age: 63.3 ± 9.2 years) and 252 healthy controls (HC) (134 males and 118 females; mean age: 64.9 ± 8.2 years).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3 T, 3D inversion-prepared fast spoiled gradient echo sequence T1-weighted Imaging.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p>Manual magnetic resonance parkinsonism index (MRPI) was measured by two raters. Automated brain volumetry was performed using a pre-trained cascaded VB-Net. Patients were randomly assigned to training (<i>n</i> = 320) and internal validation (<i>n</i> = 160) cohorts via 2:1 stratified randomization. Diagnostic performance of manual MRPI, pons/midbrain volume ratio, and PDSVI were assessed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Diagnostic performance was assessed via receiver operating characteristic (ROC) curve analysis and DeLong's test; <i>p</i> < 0.05 was considered statistically significant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In internal validation cohort, ROC analysis showed that PDSVI distinguished PSP from non-PSP (AUC = 0.897), PD (0.873), MSA-P (0.950), MSA-C (0.939), and HC (0.909), comparable to manual MRPI (AUCs: 0.909, 0.886, 0.923, 0.984 and 0.862, <i>p</i> values: 0.760, 0.786, 0.492, 0.092, 0.287, respectively).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Data Conclusion</h3>\u0000 \u0000 <p>This stud","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1250-1263"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148361189","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":"White Matter Perivascular Space Burden in Children With Autism Spectrum Disorder and Typically Developing Controls: An Automated Quantitative MRI Study","authors":"Chiara Girardi, Denis Peruzzo, Francesca Castellotti, Elisa Mani, Fabiola Lanteri, Valentina Mariani, Nicola Pesenti, Nivedita Agarwal","doi":"10.1002/jmri.70442","DOIUrl":"10.1002/jmri.70442","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Perivascular spaces (PVS) are compartments involved in brain waste clearance. PVS are commonly observed in typically developing (TD) children; however, their burden in autism spectrum disorder (ASD) remains unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To investigate whether quantitative white matter (WM) PVS burden differs between children with ASD and TD controls using automatic segmentation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Observational.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Population</h3>\u0000 \u0000 <p>Ninety-eight children with ASD (age range: 2–8 years; mean age 4.8 ± 1.5 years; 78M/20F) and 38 TD children (age range: 2–8 years; mean age 5.5 ± 0.9 years; 23M/15F).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3T; 3D T1-weighted ultrafast gradient-echo and 3D T2-weighted turbo spin-echo sequences.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p>Human Connectome Project pipeline was used to generate enhanced perivascular contrast (EPC) images. The Weakly Supervised Perivascular Spaces Segmentation algorithm was applied to EPC to segment PVS. PVS volume (WM-PVSv) and count (WM-PVSc) were quantified in total WM and six subregions (frontal, parietal, temporal, occipital, limbic, and deepWM).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Welch's <i>t</i>-test, chi-square test, and ANCOVA for group differences; Spearman's rank correlation for age, structural brain volumes, and PVS metrics exploratory correlations; multivariable linear regression for global PVS metrics, and linear mixed-effects models for regional analyses, adjusted for age, sex, WM, and extra-axial cerebrospinal fluid volumes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the adjusted models, no significant differences between ASD and TD were observed, as the diagnostic group was not independently associated with either WM-PVSv (ASD: 2.3 ± 1.2 cm<sup>3</sup>; TD: 2.0 ± 0.9 cm<sup>3</sup>; <i>p = 0.228</i>) or WM-PVSc (ASD: 832 ± 298; TD: 754 ± 260; <i>p</i> = 0.121), whereas WM volume was significantly associated with both metrics (<i>β</i> = 0.012 mm<sup>3</sup> for WM-PVSv; <i>β</i> = 0.004 mm<sup>3</sup> for WM-PVSc). In both ASD and TD, frontal WM exhibited the highest WM-PVScn (ASD: 37.0% ± 4.9%; TD: 28.9% ± 6.6%), whereas deep WM showed the highest WM-PVSvf (ASD: 0","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1227-1240"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148421600","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 “Zero Time-to-Echo Imaging of the Hand and Wrist in Rheumatoid Arthritis Patients”","authors":"Jang Gyu Cha","doi":"10.1002/jmri.70449","DOIUrl":"10.1002/jmri.70449","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1344-1345"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148447427","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 \"Restricted Spectrum Imaging for Diagnosis of High-Risk Metabolic Dysfunction-Associated Steatohepatitis\".","authors":"Marco Dioguardi Burgio, Philippe Garteiser","doi":"10.1002/jmri.70564","DOIUrl":"https://doi.org/10.1002/jmri.70564","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149182097","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":"Abbreviated MRI and Ultrafast MRI of the Breast.","authors":"Teresa Lemainque, Christiane K Kuhl","doi":"10.1002/jmri.70477","DOIUrl":"https://doi.org/10.1002/jmri.70477","url":null,"abstract":"<p><p>Detection of breast cancer in MRI requires fast, dynamic contrast enhanced (DCE) imaging covering the immediate post-contrast phase, that is, the first 60 s after contrast injection. This ensures selective depiction of invasive cancer as well as DCIS against an otherwise dark background, that is, before background parenchymal enhancement (BPE) can set in. Thus, breast MRI requires not only high spatial, but also high temporal resolution. Both, abbreviated breast MRI (AB-MRI) as well as ultrafast breast MRI (UF-MRI), exploit the fact that enhancement of cancers versus their non-cancerous background differs most in the immediate post-contrast phase. Beyond this, however, AB-MRI and UF-MRI are unrelated: AB-MRI is a novel MRI paradigm; UF-MRI is a novel MRI pulse sequence that allows time-resolved imaging of the immediate post-contrast phase. AB-MRI is an umbrella term for lean, streamlined MRI protocols designed to answer specific clinical questions. Compared with \"all-purpose\" full-protocol MRI, AB-MRI allows a substantial reduction of acquisition time. The first proposed use case of AB-MRI was for breast cancer screening, to reduce cost, and thus improve access and tolerability. It had been termed \"FAST,\" short for \"first post-contrast subtracted imaging,\" because it truncated the breast MRI acquisition protocol after one post-contrast scan covering the immediate post-contrast phase. Around the same time, UF-MRI was inaugurated. This may have caused the misunderstanding that both would represent different positions on the same line of development, with \"ultrafast\" being even faster than \"FAST.\" AB-MRI protocols can be categorized into short and abridged protocols. Short protocols concentrate on the pre- and immediate post-contrast phase, either by regular DCE-MRI, or by UF-MRI. Abridged protocols add carefully selected scans, for example, T2-weighted and/or post-contrast scans. This review aims at clarifying the definitions and respective concepts of AB-MRI and UF-MRI, and to summarize the current evidence regarding the respective utility for breast cancer diagnosis.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181446","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 \"A Survey and Analysis of the Current Status of MRI Safety Management in Medical Institutions in Korea\".","authors":"James J Sohn","doi":"10.1002/jmri.70580","DOIUrl":"https://doi.org/10.1002/jmri.70580","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181904","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-Based 2.5D Multi-Instance Deep Learning for Differentiating Pathological Subtypes of Brain Metastases From Lung Cancer.","authors":"Jinling Zhu, Cairui Liu, Li Zou, Ruizhe Xu, Xin Xie, Ye Tian, Longjiang Zhang, Bo Zhang","doi":"10.1002/jmri.70588","DOIUrl":"https://doi.org/10.1002/jmri.70588","url":null,"abstract":"<p><strong>Background: </strong>Distinct treatment strategies for small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) brain metastases require accurate noninvasive subtyping.</p><p><strong>Purpose: </strong>To develop and externally validate a biparametric MRI-based 2.5D multi-instance learning (MIL) deep learning (DL) model for discriminating SCLC from NSCLC brain metastases, with performance compared against clinical, radiomics, and 3D-DL models.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>This study included 366 patients from four institutions. Center 1 provided the training set (n = 199; mean age, 63.88 ± 10.79 years; 72.36% male) and an internal tuning set (n = 85; mean age, 64.73 ± 9.53 years; 67.06% male). Centers 2-4 were pooled into a single external test set (n = 82; mean age, 62.26 ± 10.60 years; 63.41% male).</p><p><strong>Field strength/sequence: </strong>1.5 T and 3.0 T; contrast-enhanced T1-weighted imaging and fluid-attenuated inversion-recovery imaging.</p><p><strong>Assessment: </strong>The 2.5D-MIL model was benchmarked against clinical, radiomics, and 3D-DL models and evaluated on internal tuning and pooled external test sets.</p><p><strong>Statistical tests: </strong>Shapiro-Wilk, Student's t-test, Mann-Whitney U, chi-square, univariable and multivariable logistic regression, and DeLong tests were used. Performance measures included the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals and classification and calibration metrics. Statistical significance was defined as two-sided p < 0.05.</p><p><strong>Results: </strong>In the internal tuning set, AUCs were 0.842 (2.5D-MIL), 0.740 (clinical), 0.710 (radiomics), and 0.747 (3D-DL). In the external test set, AUCs were 0.826 (2.5D-MIL), 0.826 (clinical), 0.696 (radiomics), and 0.664 (3D-DL). Differences between 2.5D-MIL and the clinical (p = 1.000), radiomics (p = 0.139), and 3D-DL (p = 0.119) models were not significant.</p><p><strong>Data conclusion: </strong>The MRI-based 2.5D-MIL model showed potential for noninvasive differentiation of SCLC from NSCLC brain metastases. Larger prospective studies are needed before clinical use.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149182232","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":"Musculoskeletal MRI Relaxometry Phantom for T1, T2, and T1ρ Measurements.","authors":"Jeehun Kim, Stephen E Russek, Karl F Stupic, Cassandra M Stoffer, Kathryn E Keenan, David R Rutkowski, Jeff Kammerman, Jean H Brittain, Zhiyuan Zhang, Xiaojuan Li","doi":"10.1002/jmri.70570","DOIUrl":"https://doi.org/10.1002/jmri.70570","url":null,"abstract":"<p><strong>Background: </strong>Quantitative MRI (qMRI) requires quality assurance methods that reflect in vivo conditions to ensure consistent measurements with low bias and high reproducibility over time, across multiple sites, and across different MRI scanner manufacturers and models.</p><p><strong>Purpose: </strong>To develop a musculoskeletal (MSK) relaxometry phantom that spans the T1 and T2 (and T1ρ as an exploratory aim) ranges of articular cartilage.</p><p><strong>Study type: </strong>Longitudinal phantom study.</p><p><strong>Phantom: </strong>A cylindrical phantom designed to fit within multiple knee coil configurations using dedicated support stands. The phantom contains 12 gel-filled vials spanning T1 values of 300-1200 ms, T2 values of 10-100 ms, and T1ρ values of 20-120 ms, and an MR-visible thermometer.</p><p><strong>Field strength/sequence: </strong>3T; single-echo spin-echo T2; inversion-recovery T1; spin-lock prepared T1ρ for NMR (spin-lock frequencies 300-5000 Hz) and MAPSS T1ρ for MRI (spin-lock frequency 500 Hz).</p><p><strong>Assessment: </strong>NMR and two MRI systems from different vendors were used. A prototype phantom (n = 1), production phantoms (n = 12), and matched NMR samples were evaluated. NMR data acquired at multiple temperatures served as reference and enabled temperature correction of MRI measurements. The prototype phantom was scanned longitudinally (15 measurements over 725 days) to assess stability, while production phantoms were scanned at a single timepoint to evaluate batch consistency.</p><p><strong>Statistical analysis: </strong>Measurement variability and agreement were assessed using coefficients of variation (CVs), concordance correlation coefficients (CCCs), and Bland-Altman analysis for NMR-MRI comparison, longitudinal stability, batch consistency, and inter-vendor reproducibility.</p><p><strong>Results: </strong>After temperature correction, longitudinal CVs were 1.1% (T1), 1.8% (T2), and 1.6% (T1ρ). Production phantoms showed inter-phantom CVs of 0.8% (T1), 1.2% (T2), and 0.9% (T1ρ). NMR and MRI measurements demonstrated strong agreement (CCCs > 0.99 for T1, T2, and T1ρ) with biases < 6%. Inter-vendor MRI comparisons yielded CCCs > 0.99 for T1 and T2.</p><p><strong>Data conclusion: </strong>The phantom demonstrated excellent stability and reproducibility with temperature correction, supporting its use for quality assurance in longitudinal and multisite qMRI studies.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168640","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 Effects of Cerebrovascular Reactivity on the Coupling Between CSF Dynamics and Global Neurovascular Fluctuations in the Alzheimer's Disease Continuum.","authors":"Yutian Wang, Dayong Ge, Zhecheng Jin, Li Zhao, Dan Wu, Zixuan Lin","doi":"10.1002/jmri.70584","DOIUrl":"https://doi.org/10.1002/jmri.70584","url":null,"abstract":"<p><strong>Background: </strong>Mounting evidence revealed that the weakened coupling between CSF flow and global brain activity (gBOLD-CSF coupling) is associated with Alzheimer's Disease (AD) pathology and cognitive impairments. However, the mechanisms underlying this weakened coupling remain unclear.</p><p><strong>Purpose: </strong>To investigate the region-specific effects of cerebrovascular reactivity (CVR) on the gBOLD-CSF coupling.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>One hundred ninety-eight cognitively normal controls (70.2 ± 8.7 years; 128 female, 70 male), 115 mild cognitive impairment patients (73.1 ± 7.1 years; 50 female, 65 male), and 24 dementia patients (75 ± 9.3 years; 14 female, 10 male) from ADNI.</p><p><strong>Field strength/sequence: </strong>3 T gradient-echo blood-oxygenation-level-dependent (BOLD).</p><p><strong>Assessment: </strong>gBOLD-CSF coupling and CVR maps were respectively derived from resting-state fMRI. The former reflects the temporal coordination between CSF dynamics and global neurovascular fluctuations, while the latter quantifies the capacity of vessels to dilate or constrict. AD-related clinical scales including Aβ-PET, tau-PET, and cognitive assessments were also involved.</p><p><strong>Statistical tests: </strong>Linear regression models were employed to examine the association of gBOLD-CSF coupling with AD-related clinical scales and with CVR of major cerebral arteries. Mediation analyses were employed to investigate the potential pathways linking these metrics. p < 0.05 was considered significant.</p><p><strong>Results: </strong>gBOLD-CSF coupling was significantly associated with cognitive assessments (CDR Global: β = 0.366; ADAS-Cog: β = 10.613), accumulation of cortical summary Aβ (β = 37.937) and tau in Braak stage ROIs (Braak I-II: β = 0.444; Braak III-IV: β = 0.565; Braak V-VI: β = 0.474). Analysis also revealed the regional differences in the association of gBOLD-CSF coupling with CVR. CVR, especially in posterior cerebral arteries (PCA) region, was significantly associated with gBOLD-CSF coupling (β = -0.313). The gBOLD-CSF coupling, both directly and through its effect on the accumulation of Aβ and tau, mediated the association between CVR and cognition.</p><p><strong>Data conclusion: </strong>Data revealed a significant CVR-coupling association in the PCA region and potential pathways linking CVR, gBOLD-CSF coupling, AD pathology, and cognition, providing deeper insights into weakened gBOLD-CSF coupling in AD.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149137103","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 \"The Effects of Cerebrovascular Reactivity on the Coupling Between CSF Dynamics and Global Neurovascular Fluctuations in the Alzheimer's Disease Continuum\".","authors":"Binu P Thomas, Krishnendu Vyas","doi":"10.1002/jmri.70585","DOIUrl":"https://doi.org/10.1002/jmri.70585","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149137144","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}