Journal of Neuroimaging最新文献

{"title":"Correction to “A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation”","authors":"","doi":"10.1111/jon.70093","DOIUrl":"10.1111/jon.70093","url":null,"abstract":"<p>E Dereskewicz, F La Rosa, J Dos Santos Silva, et al. “A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation.” <i>Journal of Neuroimaging</i> 35.5 (2025): e70085.</p><p>In Table 7, the text “dawm” was a typo and should have been removed. In addition, the table should present all values with two significant figures.</p><p>We apologize for this error.</p><p>Table 7. Performance comparison between 2D and 3D scans in the clinical dataset across all models.\u0000\u0000 </p><p><i>Note</i>: Average values across five subjects are provided for each metric.</p><p>Abbreviations: LFPR, lesion false positive rate; LTPR, lesion true positive rate; RVD, relative volume difference.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cancer Predisposition Syndromes With Involvement of the Head and Neck Regions in Children: An Imaging Guide","authors":"Livja Mertiri,&nbsp;Nilesh Desai,&nbsp;Maarten Lequin,&nbsp;Denada Mertiri,&nbsp;Hui Brandon Tran,&nbsp;Cesar Alves,&nbsp;Marcello Chiocchi,&nbsp;Thierry A. G. M. Huisman,&nbsp;Felice D'Arco","doi":"10.1111/jon.70092","DOIUrl":"10.1111/jon.70092","url":null,"abstract":"<div>\u0000 \u0000 <p>Cancer predisposition syndromes (CPSs) are a group of inherited disorders that significantly increase the risk of developing various cancers, ranging from infancy through adulthood. CPSs account for about 10% of the pediatric cancers, and they represent a major cause of morbidity and mortality in affected children. The inheritance pattern and the variable penetrance influence the age of onset and the clinical course, resulting in substantial variation in presentation, even within a single family. Early recognition of CPSs is crucial, as timely diagnosis allows for health surveillance, preventive interventions, and genetic counselling for patients and their families. Guidelines and surveillance programs have been developed to identify at-risk patients and coordinate long-term care. This review focuses on the most common CPSs associated with pediatric cancers, with particular emphasis on the involvement of the head and neck region. For each syndrome, we provide a background summary including its genetics and clinical manifestations, followed by a detailed description of characteristic head and neck imaging findings. Illustrative case examples are then presented to demonstrate the spectrum of clinical and imaging features. It highlights imaging features to assist providers reading these studies in the early identification of all possible pathological manifestations in these syndromes. Key CPSs covered include retinoblastoma, Li–Fraumeni syndrome, neurofibromatosis type 1, DICER1 syndrome, rhabdoid tumor predisposition syndrome, Gorlin–Goltz syndrome, hereditary paraganglioma–pheochromocytoma syndrome, constitutional mismatch repair deficiency syndrome, and neuroblastoma predisposition syndrome.</p>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145199701","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":"Prolonged Venous Transit Is Associated With Unfavorable Outcomes in Anterior Circulation Distal Medium Vessel Stroke","authors":"Hamza Adel Salim,&nbsp;Dhairya A. Lakhani,&nbsp;Aneri Balar,&nbsp;Mona Shahriari,&nbsp;Aakanksha Sriwastawa,&nbsp;Andrew Cho,&nbsp;Adam A. Dmytriw,&nbsp;Adrien Guenego,&nbsp;Elisabeth B. Marsh,&nbsp;Hanzhang Lu,&nbsp;Risheng Xu,&nbsp;Rich Leigh,&nbsp;Gaurang Shah,&nbsp;Sijin Wen,&nbsp;Gregory W. Albers,&nbsp;Argye E. Hillis,&nbsp;Rafael Llinas,&nbsp;Kambiz Nael,&nbsp;Max Wintermark,&nbsp;Jeremy J. Heit,&nbsp;Tobias D. Faizy,&nbsp;Vivek S. Yedavalli","doi":"10.1111/jon.70091","DOIUrl":"https://doi.org/10.1111/jon.70091","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Distal medium-vessel occlusion (DMVO) strokes represent a significant proportion of acute ischemic stroke cases, yet optimal management remains unclear. Prolonged venous transit (PVT), a marker of poor venous outflow, has been associated with worse outcomes in large-vessel occlusion strokes, but its role in DMVO is unknown.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In a retrospective study, consecutive patients with anterior-circulation DMVO, defined as occlusions in the M2–M4 segments of the middle cerebral artery or the anterior cerebral artery. PVT status was determined on pretreatment time-to-maximum perfusion maps by identifying ≥10-s delays in either the posterior superior sagittal sinus or the torcula. Baseline characteristics, imaging findings, and interventions were collected. The primary outcome was a 90-day modified Rankin Scale (mRS) score of 0–2.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 77 patients (median age 70 years, 56% female), 18 (23%) had PVT. Median admission National Institutes of Health Stroke Scale scores were 11 (interquartile range, 7–15), and intravenous thrombolysis was administered to 35% of patients. Patients with PVT+ were less likely to achieve mRS 0–2 at 90 days (adjusted odds ratio, 0.14; 95% confidence interval, 0.02–0.85; <i>p</i> = 0.046). There were no significant differences in rates of hemorrhagic transformation or mortality.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>PVT is independently associated with unfavorable functional outcomes in anterior-circulation DMVO. These findings suggest PVT may serve as a prognostic indicator and could inform treatment decisions in this challenging stroke subtype.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spinal and Sacral Chordomas: Overview With Imaging Review","authors":"Rebecca Choi,&nbsp;Jacob Schick,&nbsp;Sasicha Manupipatpong,&nbsp;Samuel Law,&nbsp;John Gross,&nbsp;Yuanxuan Xia,&nbsp;Daniel Lubelski,&nbsp;Kristin J. Redmond,&nbsp;Majid Khan","doi":"10.1111/jon.70090","DOIUrl":"10.1111/jon.70090","url":null,"abstract":"<div>\u0000 \u0000 <p>Spinal chordomas are rare, malignant bone tumors originating from notochordal remnants, primarily affecting the sacrum, clivus, and spine. Despite their low prevalence, they present significant diagnostic and therapeutic challenges due to their local aggressiveness, high recurrence rate, and imaging similarities to other tumors, such as chondrosarcomas. Advances in imaging technologies, particularly high-resolution magnetic resonance imaging and computed tomography (CT), have improved the ability to visualize chordomas and enhance the precision of surgical planning. Additionally, newer imaging modalities, including diffusion-weighted imaging and positron emission tomography/CT, offer more refined diagnostic capabilities, though differentiation from other similar lesions remains difficult. Histologically, chordomas are marked by physaliphorous cells and a myxoid stroma, with the brachyury gene playing a key role in tumorigenesis and serving as a potential therapeutic target. The pathophysiology and molecular landscape of chordomas further complicate diagnosis and treatment. This review examines the current state of imaging advancements, challenges in diagnosis, and their impact on clinical management. It highlights the importance of combining various imaging modalities to improve diagnostic accuracy, aid surgical resection planning, and reduce recurrence. Additionally, it discusses the ongoing need for more targeted therapies and improved imaging techniques to optimize patient outcomes in spinal chordoma management.</p>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069713","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":"Multivariate Pattern Analysis of Perfusion and Oxygenation Impairment in Asymptomatic Carotid Artery Stenosis","authors":"Jan Kufer,&nbsp;Christine Preibisch,&nbsp;Jens Göttler,&nbsp;Lena Schmitzer,&nbsp;Gabriel Hoffmann,&nbsp;Michael Kallmayer,&nbsp;Claus Zimmer,&nbsp;Fahmeed Hyder,&nbsp;Stephan Kaczmarz","doi":"10.1111/jon.70084","DOIUrl":"https://doi.org/10.1111/jon.70084","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Hemodynamic impairment may contribute to stroke risk and cognitive decline in asymptomatic internal carotid artery stenosis (ICAS). Therefore, multimodal MRI-based quantification of hemodynamic impairment could inform improved treatment decisions. While gross interhemispheric hemodynamic imbalances have been reported in ICAS, identifying more spatially resolved patterns of disease-related alterations may be promising to harness the full potential of hemodynamic MRI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this feasibility study, we investigated the spatial topography of ICAS-related impairments by applying scaled subprofile model principal component analysis (SSM-PCA) to cerebral blood flow (CBF), relative oxygen extraction fraction (rOEF), and oxygen extraction capacity (OEF^max) data of 21 unilateral ICAS patients and 25 healthy controls (HC).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found spatially extended, partly overlapping disease-related patterns for CBF and OEF^max, but not rOEF. CBF (area under the curve [AUC] = 0.95) but not OEF^max (AUC = 0.72) SSM-PCA scores distinguished ICAS patients and HC better than interhemispheric lateralizations (AUC = 0.75/0.73). SSM-PCA scores were only partly explained by interhemispheric lateralization (<i>R</i>² = −0.27/0.38), indicating complementary information. Critically, ICAS patients with higher OEF^max SSM-PCA scores (<i>z</i> ≥ 1) demonstrated higher stenotic degrees and lower cognitive performance (<i>p</i> &lt; 0.05) without differing in interhemispheric lateralization (<i>p</i> &gt; 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We demonstrated the feasibility of SSM-PCA in ICAS and obtained novel insights into complex hemodynamic impairment patterns and their association with cognitive function.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Spinal Cord Radiomic Features and Disability in Multiple Sclerosis","authors":"Jeffrey Lambe,&nbsp;Nicolas R. Thompson,&nbsp;Yadi Li,&nbsp;Kunio Nakamura,&nbsp;Daniel Ontaneda","doi":"10.1111/jon.70089","DOIUrl":"https://doi.org/10.1111/jon.70089","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Spinal cord pathology underpins disability accumulation in people with multiple sclerosis (pwMS). Visual inspection of spinal cord magentic resonance imaging (MRI) often fails to reliably detect injury. Radiomics analyzes signal intensities in images to identify pathological changes that may be imperceptible to the human eye. This study evaluated the application of radiomics to spinal cord MRI to distinguish subgroups of pwMS and disability correlations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Radiomic features were extracted from upper cervical cord coverage on cross-sectional 3.0T brain noncontrasted T1-weighted MRI scans in pwMS and healthy controls (HCs). Ninety-three radiomic features—predominantly gray-level matrices—were extracted using Pyradiomics, with pixel heterogeneity considered to reflect neuroaxonal pathology. T2 lesion and brain substructure volumes were segmented from 3D fluid-attenuated inversion recovery and magnetization-prepared rapid gradient-echo sequences using an in-house 2.5D U-Net convolutional neural network to encapsulate neuroinflammation and neurodegeneration. Cervical cross-sectional area (C1−C3) was measured using in-house atlas-based segmentation. Imaging features were compared between pwMS and HCs, and pwMS by phenotype (relapsing vs. progressive), age, and race. Associations of imaging features with Patient-Determined Disease Steps (PDDS) were examined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 2966 pwMS and 41 HCs, we identified radiomic features distinguishing pwMS from HCs, and pwMS by phenotype, age, and race. Radiomic features exhibited stronger correlations with PDDS than conventional MRI measures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Radiomics identified pathological changes in pwMS in varying stages of the disease course that are undetectable by conventional spinal cord MRI. Radiomics may increase the yield of spinal cord MRI in pwMS and serve as biomarkers predicting disability worsening.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation","authors":"Emma Dereskewicz,&nbsp;Francesco La Rosa,&nbsp;Jonadab Dos Santos Silva,&nbsp;Edward Sizer,&nbsp;Amit Kohli,&nbsp;Maxence Wynen,&nbsp;William A. Mullins,&nbsp;Pietro Maggi,&nbsp;Sarah Levy,&nbsp;Kamso Onyemeh,&nbsp;Batuhan Ayci,&nbsp;Andrew J. Solomon,&nbsp;Jakob Assländer,&nbsp;Omar Al-Louzi,&nbsp;Daniel S. Reich,&nbsp;James Sumowski,&nbsp;Erin S. Beck","doi":"10.1111/jon.70085","DOIUrl":"10.1111/jon.70085","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Assessment of brain lesions on magnetic resonance imaging (MRI) is crucial for research in multiple sclerosis (MS). Manual segmentation is time-consuming and inconsistent. We aimed to develop an automated MS lesion segmentation algorithm for T2-weighted fluid-attenuated inversion recovery (FLAIR) MRI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We developed FLAIR Lesion Analysis in Multiple Sclerosis (FLAMeS), a deep learning-based MS lesion segmentation algorithm based on the nnU-Net 3D full-resolution U-Net and trained on 668 FLAIR 1.5 and 3 tesla scans from persons with MS. FLAMeS was evaluated on three external datasets: MSSEG-2 (<i>n</i> = 14), MSLesSeg (<i>n</i> = 51), and a clinical cohort (<i>n</i> = 10), and compared to SAMSEG, LST-LPA, and LST-AI. Performance was assessed qualitatively by two blinded experts and quantitatively by comparing automated and ground truth lesion masks using standard segmentation metrics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In a blinded qualitative review of 20 scans, both raters selected FLAMeS as the most accurate segmentation in 15 cases, with one rater favoring FLAMeS in two additional cases. Across all testing datasets, FLAMeS achieved a mean Dice score of 0.74, a true positive rate of 0.84, and an F1 score of 0.78, consistently outperforming the benchmark methods. For other metrics, including positive predictive value, relative volume difference, and false positive rate, FLAMeS performed similarly to or better than benchmark methods. Most lesions missed by FLAMeS were smaller than 10 mm³, whereas the benchmark methods missed larger lesions in addition to smaller ones.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>FLAMeS is an accurate, robust method for MS lesion segmentation that outperforms other publicly available methods.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70085","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145040383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraindividual Optic Nerve Sheath Variation and Intracranial Pressure Changes: A Systematic Review and Meta-Analysis","authors":"Henrique Azevedo,&nbsp;Lia Lucas Neto,&nbsp;David Berhanu","doi":"10.1111/jon.70083","DOIUrl":"https://doi.org/10.1111/jon.70083","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>To review the existing evidence on multiple timepoint assessments of optic nerve sheath diameter (ONSD) as an indicator of intraindividual variation of intracranial pressure (ICP).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A systematic search identified studies assessing intraindividual variation in ICP through multiple timepoint measurements of ONSD using ultrasonography. Meta-analysis of studies assessing intraindividual correlation coefficients between ONSD and ICP was performed using a random effects model, and we calculated the weighted correlation coefficient for the expected change in ICP associated with variations in ONSD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of five studies, comprising 157 patients, were included in the review. ONSD was compared with invasive ICP measurement methods at multiple timepoints. Meta-analysis of intraindividual ONSD–ICP correlation demonstrated a correlation coefficient of 0.62 (CI: 0.50–0.71). Individual linear correlation analyses were performed in two of the studies, yielding correlation coefficients ranging from 0.79 to 1.00; however, widely variable individual slopes were found (1.51–41.43 mm/mmHg). ONSD variations ranged from 0.12 to 3.30 mm per 5 mmHg change in ICP, with a variation of 0.55 mm in adults with hypoxic brain injury and 0.77 mm in children with idiopathic intracranial hypertension.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our findings indicate that ONSD significantly correlates with ICP, and longitudinal intraindividual assessment shows a predominantly linear correlation between both variables. A personalized ONSD–ICP correlation equation may enable accurate ICP prediction, making ONSD a useful tool for follow-up in patients with previous invasive ICP measurements, when adjusted to each patient's characteristics and pathologies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence","authors":"Hector Acosta-Rodriguez,&nbsp;Pratheek Bobba,&nbsp;Alicia Stephan,&nbsp;Tal Zeevi,&nbsp;Ajay Malhotra,&nbsp;Anh Tuan Tran,&nbsp;Simone Kaltenhauser,&nbsp;Laura Ment,&nbsp;Seyedmehdi Payabvash","doi":"10.1111/jon.70087","DOIUrl":"https://doi.org/10.1111/jon.70087","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Socioeconomic determinants of health impact childhood development and adult health outcomes. One key aspect is the physical environment and neighborhood where children live and grow. Emerging evidence suggests that neighborhood deprivation, often measured by the Area Deprivation Index (ADI), may influence neurodevelopment, but longitudinal and multimodal neuroimaging analyses remain limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We examined the association between childhood neighborhoods and brain white matter (WM) microstructural integrity using a large, demographically representative cohort from the Adolescent Brain Cognitive Development Study. We analyzed the relationship between ADI and MRI metrics of WM microstructural integrity and resting-state funtional magnetic resonance imaging (rs-fMRI) connectivity in children with data at baseline (mean age of 9.9 years) and follow-up (mean age 12.0 years), with a sample size of <i>n</i> = 2615.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Children living in poorer neighborhoods (higher ADI) showed lower brain WM microstructural integrity at baseline and follow-up, even after adjusting for age, sex, race/ethnicity, head size, body mass index, parental education, and income levels. This reduced microstructure was seen in critical tracts, such as the superior longitudinal fasciculus, corpus callosum, and the uncinate. Additionally, baseline and follow-up rs-fMRI analysis revealed that children living in poorer neighborhoods had decreased connectivity within the retrosplenial-temporal network and between higher-order networks, such as the cingulo-opercular network.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings highlight the influence of neighborhood socioeconomic disadvantage on both WM microstructural integrity and functional brain connectivity in the preadolescent brain. Children from more deprived neighborhoods showed reduced integrity in key WM tracts and disrupted connectivity within and between higher-order networks.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012377","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":"Reliability and Spatial Consistency of MR Diffusion Tensor Imaging Measures Along the Cerebral Perivascular Space","authors":"Enchao Qiu,&nbsp;Joga Chaganti,&nbsp;Phillip Phan,&nbsp;Mahdi Alizadeh,&nbsp;Devon Middleton,&nbsp;Kiran Talekar,&nbsp;Prabath K. Mondel,&nbsp;Scott H. Faro,&nbsp;Feroze B. Mohamed,&nbsp;Hsiangkuo Yuan","doi":"10.1111/jon.70086","DOIUrl":"https://doi.org/10.1111/jon.70086","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) has emerged as a promising noninvasive method for evaluating water motion that may reflect glymphatic system function. However, the reliability of DTI-ALPS measurements across different region-of-interest (ROI) selection methods remains underinvestigated. This study aimed to assess the interrater reliability among three neuroradiologists in native space and compare DTI-ALPS indices derived from ROIs placed in subjects’ native space versus standardized Montreal Neurological Institute (MNI) space.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>DTI-ALPS indices from 16 healthy subjects were calculated from both left and right hemispheres using two ROI placement approaches: (1) native space ROIs manually placed by three neuroradiologists, and (2) standardized ROIs in MNI space based on the fractional anisotropy template. Interrater reliability was assessed using intraclass correlation coefficients (ICCs). The proportion of ROI overlaps among the three neuroradiologists was also evaluated. Differences between native and MNI space measurements were evaluated using related-samples Friedman's analysis with post hoc pairwise comparisons.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Interrater reliability for native space ROI placement was moderate for left-sided DTI-ALPS indices (ICC = 0.599) and good for right-sided DTI-ALPS indices (ICC = 0.807). Spatial overlap analysis revealed poor Dice similarity coefficients across all ROI types (range: 0.047–0.312), with right association ROIs showing higher spatial consistency. Significant differences were found between native and MNI space measurements for left-sided DTI-ALPS indices (<i>p</i> = 0.002) but not for right-sided DTI-ALPS indices (<i>p</i> = 0.913).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>These findings highlight the importance of standardized ROI selection approaches for clinical applications of DTI-ALPS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"35 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}