Magnetic Resonance Materials in Physics, Biology and Medicine最新文献

{"title":"Correction: Design and chemical composition of a reference phantom for ¹³C metabolic MRSI.","authors":"Julian Schüle, Christoph A Müller, Sebastian Lucas, Leonard Schraff, Stefan Menzel, Tobias Speidel, Ilai Schwartz, Volker Rasche","doi":"10.1007/s10334-026-01358-3","DOIUrl":"https://doi.org/10.1007/s10334-026-01358-3","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147839701","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":"Signal-to-noise ratio comparison of k-space sampling schemes for sodium MRI of the brain at 3 T.","authors":"Cameron Nowikow, Rolf F Schulte, Michael Vaeggemose, Christoffer Laustsen, Michael D Noseworthy","doi":"10.1007/s10334-026-01364-5","DOIUrl":"https://doi.org/10.1007/s10334-026-01364-5","url":null,"abstract":"<p><strong>Purpose: </strong>To provide a thorough comparison of the SNR between sodium MRI k-space sampling schemes in the brain within clinically feasible time constraints (∼10 min) at 3 T.</p><p><strong>Materials and methods: </strong>Density-adapted radial (DA-3DPR), constant-amplitude radial, Cartesian, FLORET, rotated spiral, and 3D cones trajectories were designed with parameters optimized for brain tissue SNR. The sequences were acquired in both a phantom and 13 healthy participants (age = 28.7 ± 3.4, M:F = 7:6). SNR was measured and corrected for point-spread function (PSF) volume and scan duration for a less-biased assessment. CSF-to-brain-tissue contrast and CNR were also measured. The data were linearly modeled, and ANOVA was used to determine if the sampling scheme contributed to the variance with the obtained metrics.</p><p><strong>Results: </strong>The sampling schemes contributed significantly to the variance (p < 0.001) for all metrics. The DA-3DPR sampling scheme provided the highest SNR in both the phantom and the participants. The Cartesian sampling scheme had the highest absolute contrast, but the largest CNR was shared between the DA-3DPR, 3D cones, and FLORET sampling schemes.</p><p><strong>Conclusions: </strong>When considering the PSF and the requirement for a clinically feasible scan time, a 15 ms read-out DA-3DPR trajectory provides the highest SNR at 3 T, without losing any desired contrast.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774778","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":"Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics.","authors":"Pamela Franco, Cristian Montalba, Raúl Caulier-Cisterna, Ignacio Espinoza, MDaniela Cornejo, Francisco Torres, Carlos Bennett, Steren Chabert, Rodrigo Salas","doi":"10.1007/s10334-026-01346-7","DOIUrl":"https://doi.org/10.1007/s10334-026-01346-7","url":null,"abstract":"<p><strong>Objective: </strong>Gliomas are heterogeneous brain tumors with variable biology and treatment response. Accurate, non-invasive assessment of tumor aggressiveness is essential for prognosis and treatment planning. Conventional machine learning (ML) approaches typically frame glioma grading as a discrete classification task, which may overlook substantial intra-grade heterogeneity. This pilot study explores a regression-based framework to derive a continuous imaging-derived severity score, providing a relative assessment of tumor aggressiveness anchored to, but not redefining, established WHO grades.</p><p><strong>Materials and methods: </strong>36 glioma patients (low-grade glioma; LGG: 58.33%, high-grade glioma; HGG: 41.67%) underwent 3D T1-weighted and DTI MRI on a 1.5 T scanner. Diffusivity maps were derived from DTI, and radiomic features were extracted. Sequential Feature Selection with a Random Forest regressor identified the most informative features. Fifteen ML regression models estimated the relative severity score, evaluated using MSE, MAE, and R², with fivefold nested cross-validation repeated 10 times. Model interpretability was examined using SHAP analysis.</p><p><strong>Results: </strong>The random forest model yielded the best performance (MSE = 0.066 ± 0.044, MAE = 0.182 ± 0.069, R² = 0.307 ± 0.432). T1-weighted features predominated, while DTI-derived measures, notably the robust mean absolute deviation of axial diffusivity, enhanced performance.</p><p><strong>Conclusion: </strong>Regression-based modeling of radiomic features from T1-weighted and diffusion MRI enables the estimation of a relative, imaging-derived glioma severity score that captures intra-grade heterogeneity beyond categorical classification. While this model provides a continuous scale of radiological severity, it is intended as a complementary tool for assessing intra-grade heterogeneity and is not a replacement for the definitive WHO 2021 clinical grading.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774557","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":"Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging.","authors":"Jason Langley, Kitzia Solis, Vala Masjedizadeh, Murphy Shao, Ilana J Bennett, Xiaoping P Hu","doi":"10.1007/s10334-026-01355-6","DOIUrl":"https://doi.org/10.1007/s10334-026-01355-6","url":null,"abstract":"<p><strong>Objective: </strong>Elevated kurtosis values have been observed in subcortical grey matter structures of patients with neurodegenerative diseases. Here, we examined relationships between iron measures and kurtosis in iron-rich subcortical grey matter structures.Please check and confirm the affiliation 4 for the author \"Xiaoping P. Hu\".Affiliation 4 for Xiaoping P. Hu was incorrect since he is not associated with that department. We have removed this affiliation. Thanks!  MATERIALS AND METHODS: Multi-shell diffusion and multi-echo gradient echo acquisitions were used to derive mean kurtosis and iron measures (R₂* and magnetic susceptibility), respectively, in subcortical grey matter nuclei and white matter tracts in a discovery cohort (110 healthy older and 63 younger adults) and replication cohort (72 healthy older adults).Please confirm if the author names are presented accurately and in the correct sequence (Ilana J. Bennett and Xiaoping P. Hu). Also, kindly confirm the details in the metadata are correct.Thanks for asking. We've checked and the names are presented accurately and in the correct sequence. We have corrected some details in the metadata - adding an affiliation to Murphy Shao (Department of Physics) and removing the Materials Science and Engineering affiliation for Xiaoping P. Hu. Is it possible to add an orcid id for Vala Masjedizadeh? His Orcid ID is  0009-0009-3692-2553 Everything else looks okay RESULTS: Iron-rich grey matter regions exhibited higher mean kurtosis, R₂*, and magnetic susceptibility and white matter regions had lower mean kurtosis in the older adult group from the discovery cohort. In both cohorts, mean kurtosis was significantly correlated with R₂* and magnetic susceptibility in iron-rich grey matter nuclei. No association was seen between signal-to-noise ratio and mean kurtosis in any grey matter region, indicating that the increase in mean kurtosis was not due to reduced signal-to-noise. As keywords are mandatory for this journal, please provide 3-6 keywords.I'm not sure where to put the keywords so I'll reply to the query with the keywords. Our keywords are: kurtosis, iron, grey matter, aging CONCLUSION: Our findings indicate that kurtosis is associated with iron-sensitive metrics in iron-rich grey matter structures, suggesting that iron deposits may be contributing to kurtosis.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147775564","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":"Vascular-augmented two-compartment fitting improves model performance for intermittent myocardial T1 mapping.","authors":"Yasutoshi Ohta, Tomoro Morikawa, Tatsuya Nishii, Yoshiaki Morita, Tetsuya Fukuda","doi":"10.1007/s10334-026-01357-4","DOIUrl":"https://doi.org/10.1007/s10334-026-01357-4","url":null,"abstract":"<p><strong>Objectives: </strong>Conventional gadolinium-enhanced cardiac MRI typically evaluates myocardial tissues at a single post-contrast time point. In contrast, dynamic T1 mapping enables the estimation of contrast agent concentrations and subsequent pharmacokinetic modeling. This study compared a normal composite two-compartment model incorporating myocardial vascular components with the conventional Brix model.</p><p><strong>Materials and methods: </strong>This retrospective study included 107 participants who underwent dynamic T1 mapping at 4 points after contrast administration. Contrast agent concentrations derived from T1 maps were fitted using the Brix and composite pharmacokinetic models. Model performance was assessed using the residual sum of squares (RSS), Akaike information criterion (AIC), and Bayesian information criterion (BIC), along with spatial comparison of model-estimated concentration maps.</p><p><strong>Results: </strong>The composite model exhibited significantly lower RSS, AIC, and BIC values than the Brix model (all p < 0.001). Absolute parameter estimation errors were reduced across all time points. In addition, systematic spatial differences in estimated myocardial contrast concentrations were observed between the two models, indicating distinct model-dependent representations of longitudinal contrast kinetics.</p><p><strong>Conclusions: </strong>The composite model achieved superior fitting performance compared with the Brix model. Explicit incorporation of vascular kinetics improves the longitudinal characterization of contrast behavior and enhances quantitative assessment of myocardial tissue properties.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147775109","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":"A nonmagnetic micropositioner for displacement measurement validation in the MRI environment.","authors":"William Ryan Willoughby, Mark Bolding","doi":"10.1007/s10334-026-01341-y","DOIUrl":"https://doi.org/10.1007/s10334-026-01341-y","url":null,"abstract":"<p><strong>Objective: </strong>The purpose of this study was to implement a nonmagnetic micropositioner in the MRI environment to validate displacement estimates of magnetic resonance acoustic radiation force imaging (MR-ARFI).</p><p><strong>Methods: </strong>The micropositioner consisted of a stage driven by a piezoelectric stepper motor in closed-loop operation with an optical quadrature encoder. A 100-gram agar gel phantom was prepared, and three MR-ARFI pulse sequences were used to generate displacement maps. MR-ARFI measured displacements were compared to ground truth data from the optical encoder.</p><p><strong>Results: </strong>The micropositioner demonstrated consistent performance with positioning times of <math><mrow><mn>1.6</mn> <mo>±</mo> <mn>0.4</mn></mrow> </math> ms for extension and <math><mrow><mn>2.2</mn> <mo>±</mo> <mn>0.2</mn></mrow> </math> ms for return to baseline position. The micropositioner decreased the signal-to-noise ratio of magnitude images due to increased electronic noise. Linear regression analysis showed that displacement measurements were highly linear with <math> <mrow><msup><mi>R</mi> <mn>2</mn></msup> <mo>≥</mo> <mn>0.98</mn></mrow> </math> but exhibited scaling biases that may have been due to the experimental setup.</p><p><strong>Conclusion: </strong>The proposed instrument can potentially improve the accuracy and precision of MR-ARFI-based applications, including focused ultrasound dosimetry and mechanical biomarker imaging.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147775649","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":"Multi-contrast dual-resolution UTE for myelin fraction mapping and structural imaging.","authors":"Nan Yin, Alexander Rau, Marco Reisert, Serhat Ilbey, Kian Tadjalli Mehr, Shuai Liu, Martin Helmstädter, Marius Schwabenland, Uzay Emir, Theo Demerath, Horst Urbach, Michael Bock, Ali Caglar Özen","doi":"10.1007/s10334-026-01362-7","DOIUrl":"https://doi.org/10.1007/s10334-026-01362-7","url":null,"abstract":"<p><strong>Purpose: </strong>To introduce and evaluate a novel multi-contrast dual-resolution 3D-UTE sequence (multi-UTE) for cerebral myelin fraction (MF) estimation in vivo and benchmark it against electron microscopy-based myelin volume fraction.</p><p><strong>Theory and methods: </strong>Direct detection of myelin in tissue is challenging due to the ultrashort <math><mmultiscripts><mi>T</mi> <mrow><mn>2</mn></mrow> <mrow><mrow></mrow> <mo>∗</mo></mrow> </mmultiscripts> </math> of the myelin bilayer. In this work, a high-resolution UTE pulse sequence with 1-1 binomial water excitation pulses was combined with interleaved multi-echo UTE acquisitions at lower resolution, enabling simultaneous acquisition of quantitative, water-excited, high-resolution T1-weighted structural images. The study included two ex vivo sheep brains, five healthy volunteers, and three patients with multiple sclerosis (MS) were measured. MF maps were calculated using multi-UTE and compared to histology. Magnetization transfer ratio using routine sequences was also calculated as a reference.</p><p><strong>Results: </strong>Multi-UTE facilitates the simultaneous acquisition of quantitative and structural images in 20 min. Myelin fraction values tested in five healthy volunteers agreed well with the literature. The MF estimated using multi-UTE showed a high correlation with histology (R² = 0.86) across 120 samples from different brain regions.</p><p><strong>Conclusion: </strong>Multi-UTE showed the strongest correlations with electron microscopy (EM) histology, and the MF maps overlapped with the lesions in MS patients. Multi-UTE may provide complementary insights for myelin quantification in various inflammatory and neurodegenerative diseases.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774809","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":"Cerebral blood flow and time of exchange measurements using multi-TE blood-brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas.","authors":"Gülce Turhan, Ayse Irem Cetin, Beatriz E Padrela, Amnah Mahroo, Omer-Yasin Cur, Simon Konstandin, Daniel Christopher Hoinkiss, Nora-Josefin Breutigam, Henk J M M Mutsaerts, Ayca Ersen Danyeli, Koray Ozduman, Klaus Eickel, Vera C Keil, Matthias Günther, Jan Petr, Alp Dincer, Esin Ozturk-Isik","doi":"10.1007/s10334-026-01348-5","DOIUrl":"https://doi.org/10.1007/s10334-026-01348-5","url":null,"abstract":"<p><strong>Objective: </strong>Isocitrate dehydrogenase (IDH) mutations are key prognostic factors in gliomas. IDH-wildtype (IDH-wt) glioblastomas are high-grade tumors, which often exhibit blood-brain barrier (BBB) breakdown. Blood-brain barrier arterial spin labeling (BBB-ASL) is a novel MRI technique that provides information on cerebral blood flow (CBF) and water exchange time (Tex) across the BBB. The aim of this study was to evaluate the feasibility of using BBB-ASL to measure CBF and Tex for distinguishing IDH mutational subgroups in gliomas, while accounting for region-specific T2 relaxation time variations.</p><p><strong>Methods: </strong>Twenty-five histopathologically confirmed gliomas (15 IDH-wt and 10 IDH-mutant (IDH-mut); mean age <math><mrow><mn>53.6</mn> <mo>±</mo> <mn>14</mn></mrow> </math> years; F/M = 11/14) were scanned. Hadamard-4 and Hadamard-8 pseudo-continuous arterial spin labeling (pCASL) MRI data were preprocessed in ExploreASL using the BBB-ASL model. CBF and Tex maps were generated using fixed T2 values (tissue: 85 ms; blood: 165 ms), and recomputed with a tissue T2 of 116.2 ms (CBF_116ms and Tex_116ms) and patient specific regional median T2 (CBF_corr and Tex_corr). Relative CBF and Tex maps (rCBF_116ms, rTex_116ms; rCBF_corr, rTex_corr) were calculated by normalizing to median normal-appearing gray matter (NAGM) values. Group comparisons of rCBF and rTex values between IDH mutational subgroups were performed using Mann-Whitney U tests with Holm-Bonferroni correction for multiple comparisons.</p><p><strong>Results: </strong>rTex_116ms maps showed significantly lower energy in IDH-wt tumors ( <math><mrow><mi>P</mi> <mo>=</mo> <mn>0.010</mn></mrow> </math> ) and a higher <math> <mrow><msup><mn>95</mn> <mrow><mi>th</mi></mrow> </msup> </mrow> </math> percentile ( <math><mrow><mi>P</mi> <mo>=</mo> <mn>0.049</mn></mrow> </math> ) in IDH-mut tumors. In addition, IDH-wt gliomas demonstrated a trend toward higher <math> <mrow><msup><mn>5</mn> <mrow><mi>th</mi></mrow> </msup> </mrow> </math> percentile rCBF_116ms and rCBF_corr ( <math><mrow><mi>P</mi> <mo>=</mo> <mn>0.033</mn></mrow> </math> , <math><mrow><mi>P</mi> <mo>=</mo> <mn>0.014</mn></mrow> </math> , respectively).</p><p><strong>Conclusion: </strong>Multi-TE BBB-ASL provides noninvasive insight into perfusion and water exchange characteristics in gliomas, with T2 relaxation time assumptions strongly influencing CBF and Tex estimates.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774754","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":"Model-based reconstruction for quantitative DCE-MRI parameters.","authors":"Natalia V Korobova, Susanne S Rauh, Myrte Wennen, Eric M Schrauben, Oliver Maier, Oliver J Gurney-Champion","doi":"10.1007/s10334-026-01350-x","DOIUrl":"https://doi.org/10.1007/s10334-026-01350-x","url":null,"abstract":"<p><strong>Objective: </strong>In quantitative dynamic contrast-enhanced MRI (DCE-MRI), a fundamental trade-off exists between imaging speed, spatial resolution, and signal-to-noise ratio (SNR), driven by the amount of data acquired per dynamic frame. This work proposes a model-based reconstruction (MBR) framework for directly estimating pharmacokinetic parameters from raw k-space data, eliminating the need for intermediate image reconstruction and potentially mitigating this trade-off.</p><p><strong>Materials and methods: </strong>The extended Tofts model for pharmacokinetic modeling was integrated into an MBR framework-PyQMRI (code is shared). To validate the approach in a controlled setting, a simulated digital phantom of the abdominal region was used. Pharmacokinetic parameters were generated, and corresponding k-space data were calculated based on these values. Additionally, the feasibility of MBR was evaluated in vivo using liver DCE-MRI data from a healthy volunteer. The performance of MBR was compared to a conventional image-based fitting approach using a non-linear least-squares (NLLS) algorithm.</p><p><strong>Results: </strong>In simulations, MBR showed superior performance, producing more precise pharmacokinetic maps with accuracy comparable to or exceeding that of traditional image-based fitting. Notably, fine anatomical structures, such as blood vessels, were more clearly defined with MBR. This improvement was consistent across different temporal resolutions (1.5-16.5 s/frame). MBR did not show any sign of image degradation for shorter frame rates, and, in fact, performed best with the shortest tested frame rate (1.5 s/frame), highlighting the robustness of MBR image quality to higher frame rates. In vivo, while the improvements offered by MBR were consistent with simulation results, they were less pronounced. Several aspects could have contributed to this discrepancy, including a difference between the simple extended Tofts model and the complex true in vivo pharmacokinetics, and data degradation due to motion combined with a complex landscape of the DCE loss.</p><p><strong>Discussion: </strong>The proposed MBR framework offers a promising alternative to traditional DCE-MRI workflows by avoiding intermediate image reconstruction and relaxing the spatio-temporal trade-off. This approach may enable more accurate and robust estimation of pharmacokinetic parameters, particularly in scenarios where imaging constraints are severe.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774756","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":"Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalus.","authors":"Shinya Hasegawa, Daisuke Yoshimaru, Norio Hayashi, Shuhei Shibukawa, Mika Takagi, Hisayuki Murai","doi":"10.1007/s10334-026-01361-8","DOIUrl":"https://doi.org/10.1007/s10334-026-01361-8","url":null,"abstract":"<p><strong>Objective: </strong>To test the hypothesis that idiopathic normal-pressure hydrocephalus (iNPH) is also associated with reproducible whole-brain structural connectivity reductions detectable by diffusion MRI connectomics, beyond the established clinical triad of gait disturbance, cognitive impairment, and urinary incontinence.</p><p><strong>Materials and methods: </strong>Twenty patients with iNPH (71-84 years; Evans index 32.1-43.5) diagnosed according to the Japanese guidelines and 20 age-matched healthy controls (70-88 years) underwent 3.0-T MRI. Distortion-corrected diffusion-weighted imaging (b = 2000s/mm², 32 directions) was analyzed using constrained spherical deconvolution and anatomically constrained probabilistic tractography. Connectivity matrices were constructed for 84 regions (Desikan-Killiany atlas), yielding 3486 unique edges. Group differences were tested edge wise using the Mann-Whitney U test with Bonferroni-adjusted p-values; statistical significance was defined as adjusted p < 0.01, and effect sizes were quantified using the rank-biserial correlation (large effect: r > 0.5).</p><p><strong>Results: </strong>iNPH showed significantly reduced connectivity predominantly in interhemispheric edges (adjusted p < 0.01; r = 0.89-0.98). The paracentral lobule exhibited the greatest number of decreased connections (11 edges), followed by the posterior cingulate gyrus (9 edges) and the superior frontal gyrus (8 edges).</p><p><strong>Conclusions: </strong>iNPH is associated with robust interhemispheric disconnection and prominent involvement of motor- and midline-related networks, supporting connectome-derived markers for further validation.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147775210","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}