Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2026-01-06DOI: 10.1016/j.ynirp.2025.100315
Mohammad Rezaei , Shaghayegh Mohammadikhaveh , Hadis Faraji , Ramin Ardalani , Mina Rezaei , Alireza Shirazinodeh
{"title":"Early diagnosis of Alzheimer's disease based on brain morphological changes: A comprehensive approach combining voxel-based morphometry and deep learning","authors":"Mohammad Rezaei , Shaghayegh Mohammadikhaveh , Hadis Faraji , Ramin Ardalani , Mina Rezaei , Alireza Shirazinodeh","doi":"10.1016/j.ynirp.2025.100315","DOIUrl":"10.1016/j.ynirp.2025.100315","url":null,"abstract":"<div><div>Deep learning algorithms optimize data by enhancing resolution and suppressing noise associated with biological knowledge. The root issue is that, for example, CNNs learning mathematical patterns from statistical correlations in the data without regard to biological cues whatsoever, and merely apply filters such as max pooling, never grasping what the biological cues they are supposed to investigate are. This blind procedure can indeed be in technical language; however, it does not help to identify meaningful insights into neuroimaging, where interpretability is essential, and such inadequacies pose a grave challenge. In our research, rather than depending on the CNNs and FCNs only for the feature extractions, we have integrated biologically motivated features into voxel-based morphometry as well as deep learning. Our goal is to analyze T1-weighted MRI scans and T2-Flair images to investigate the characteristics of gray matter, white matter, cerebrospinal fluid, and white matter Hyperintensity in patients with mild cognitive impairment (MCI) who lie on the spectrum between normal aging and Alzheimer's disease (AD). So we extracted critical structural features such as white matter Hyperintensity, gray matter volume, white matter volume, cerebrospinal fluid (CSF) volume, and cortical thickness. These are biologically meaningful biomarkers that reflect the neurodegenerative alterations directly. To validate our method, after the detection of biological features, we have converted them into 3-bit, 4-bit, 8-bit, and 16-bit images. These images were used as inputs for both FCN and CNN models to investigate the early symptoms of AD from classified intracranial features.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100315"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using, misusing, and improving online machine learning-based meta-analysis of neuroimaging published data: A perspective on NeuroQuery","authors":"Yara Mahafza , Irvine Mason , Andre Telfer , Argel Aguilar-Valles, Amedeo D'Angiulli","doi":"10.1016/j.ynirp.2025.100306","DOIUrl":"10.1016/j.ynirp.2025.100306","url":null,"abstract":"<div><div>Online, text-based meta-analysis tools for large databases represent a new digital advance for medical, health, and neuroscience research, among other fields. NeuroQuery is an instance of such a tool for neuroimaging research; it employs supervised machine learning to draw from over 13,000 publications and perform a meta-synthesis, generating predictive fMRI scans based on keyword combinations. Although NeuroQuery is a sophisticated tool, a lack of understanding of how it practically works and its limitations may lead to flawed results and conclusions, undermining its potential value. We review potential risks and limitations, including algorithm limitations, potential biases in the database, and user misinterpretation. Simulating the perspective of an end user, we present an example of unreliable but possible metanalysis results on autistic spectrum disorder (ASD). We then report an analysis of the underlying query from a sophisticated user perspective. Using the same examples, we illustrate possible improvements for the use of NeuroQuery and identify how this tool may be valuable in the context of emerging machine-learning meta-analytical approaches. Although a thorough understanding of NeuroQuery is helpful, we conclude that understanding its limitations plays a more critical role in ensuring validity and reliability of its use. While NeuroQuery is currently not appropriate for rigorous scientific analysis, it could be useful for hypothesis development, preliminary fMRI data mining, exploratory and supplemental analysis as well as literature survey.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100306"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2025-12-09DOI: 10.1016/j.ynirp.2025.100307
Kristien Bullens , Charlotte Sleurs , Jeroen Blommaert , Rebeca Alejandra Gavrila Laic , Ahmed Radwan , Laurien De Roeck , Patrick Dupont , Jurgen Lemiere , Sandra Jacobs
{"title":"Altered structural networks and cognitive functioning in long-term survivors of pediatric brain tumors","authors":"Kristien Bullens , Charlotte Sleurs , Jeroen Blommaert , Rebeca Alejandra Gavrila Laic , Ahmed Radwan , Laurien De Roeck , Patrick Dupont , Jurgen Lemiere , Sandra Jacobs","doi":"10.1016/j.ynirp.2025.100307","DOIUrl":"10.1016/j.ynirp.2025.100307","url":null,"abstract":"<div><div>Pediatric brain tumor (PBT) survivors frequently exhibit long-term changes in brain network organization and cognition. This study investigated structural brain networks among PBT survivors, exploring the potential influence of radiotherapy during childhood.</div><div>Cognitive assessments and MRIs were acquired in 20 irradiated and 26 non-irradiated PBT survivors, and 47 healthy controls. Multi-shell diffusion-weighted MRIs were processed to perform tractography and construct weighted graphs. Whole-brain and local graph measures, including hub scores, were calculated. Group differences in cognitive performance and network measures were analyzed using ANOVA or Kruskal-Wallis. Additionally, the susceptibility of hub regions to reorganization and their relationship to cognition were explored.</div><div>PBT survivors showed poorer performance on the Peabody Picture Vocabulary Task, some Wechsler Adult Intelligence Scale subtests, and figure tapping task of the Amsterdam Neuropsychologic Tasks. Structural network analyses revealed higher whole-brain clustering coefficients in both survivor groups. Locally, clustering coefficients were higher in several regions, particularly in irradiated survivors. Although hub locations were largely preserved, their relative strength showed variability. Differences in local graph measures were more frequently significant in hub regions with higher hub scores. These findings indicate that survivors’ structural brain networks undergo reorganization following a PBT and its treatment, especially if survivors had received radiotherapy. Clustering coefficient emerged as the most prominently altered network measure, which was linked to cognitive performance, particularly in hub regions. These results highlight the potential role of structural brain networks to unravel the cause of long-term cognitive outcomes in PBT survivors.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100307"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2025-12-17DOI: 10.1016/j.ynirp.2025.100304
Sravani Varanasi , Tianye Zhai , Hong Gu , Betty Jo Salmeron , Yihong Yang , Fow-Sen Choa
{"title":"Resting-state fMRI analysis of functional connectivity and temporal dynamics differences between cocaine users and healthy controls","authors":"Sravani Varanasi , Tianye Zhai , Hong Gu , Betty Jo Salmeron , Yihong Yang , Fow-Sen Choa","doi":"10.1016/j.ynirp.2025.100304","DOIUrl":"10.1016/j.ynirp.2025.100304","url":null,"abstract":"<div><div>Understanding alterations in functional connectivity among individuals with substance use disorder (SUD) is critical for elucidating the neural mechanisms underlying addiction. In this study, we applied Energy Landscape Analysis (ELA), an energy-based machine learning method, to examine whole-brain functional connectivity differences between SUD patients and healthy controls (HCs). A key methodological challenge in ELA lies in the selection of appropriate Regions of Interest (ROIs) from comprehensive brain atlases. To address this, we employed seed-based connectivity analysis to identify task-relevant ROIs, thereby overcoming the limitation of focusing on a restricted subset of regions. The dataset comprised 53 cocaine users (CUs) and 52 age- and sex-matched HCs, with functional MRI data preprocessed using the CONN toolbox. ROI-to-ROI seed-based connectivity was computed through first- and second-level analyses. ELA revealed that HCs exhibited stronger positive connectivity between cerebellar and visual regions, whereas CUs showed stronger positive connectivity between the cerebellum and the inferior temporal gyrus (temporooccipital part; toITG). Seven low-energy connectivity states were identified that differentiated the two groups. In these states, the cerebellum and toITG demonstrated antagonistic activation patterns, while the cerebellum and visual cortex co-activated in HCs. Temporal dynamics analyses further indicated that HCs visited these low-energy states more frequently, driven by shorter dwell times but higher transition rates. These findings suggest that cocaine addiction may reflect a weakening of adaptive, protective (“guardian”) connectivity patterns, rather than an increased propensity to remain in maladaptive connectivity states. Collectively, these results highlight key network-level distinctions between HCs and CUs and offer new insights into the neurobiological mechanisms of cocaine addiction.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100304"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2026-02-04DOI: 10.1016/j.ynirp.2026.100324
Neel Joshi , Jade Guarnera , Kh Tohidul Islam , Zhaolin Chen , Parisa Zakavi , Hamed Akhlaghi , Jean Lee , Karen Caeyenberghs , Juan F. Domínguez D
{"title":"A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future","authors":"Neel Joshi , Jade Guarnera , Kh Tohidul Islam , Zhaolin Chen , Parisa Zakavi , Hamed Akhlaghi , Jean Lee , Karen Caeyenberghs , Juan F. Domínguez D","doi":"10.1016/j.ynirp.2026.100324","DOIUrl":"10.1016/j.ynirp.2026.100324","url":null,"abstract":"<div><div>Acquired Brain Injury (ABI) refers to any post-birth damage to the brain, commonly resulting from traumatic events (traumatic brain injury) or non-traumatic events (such as stroke, brain disease, or infection). In Australia, ABI places a substantial economic burden on society. Assessment using high-field (HF) MRI is critical after sustaining an ABI however its usage is impeded by scanner availability and stringent safety requirements. Portable ultra-low-field (ULF MRI) may address these challenges. This review summarises literature on portable ULF MRI use in ABI patients, and outlines its safety and efficacy in detecting structural abnormalities and assessing extent of damage. A systematic search using four databases yielded 20 studies: six studies in stroke, one in traumatic brain injury (TBI), three in brain tumours, three in multiple sclerosis, and eight in other neurological disorders. The findings suggest that portable ULF MRI has been used primarily in critical care and found it was safe for use in the presence of ferromagnetic material and with patients on mechanical aids (e.g. ventilator). Most studies also reported high sensitivity and specificity in detecting various lesions (e.g. ischemic stroke, TBI), particularly those that utilised deep learning to generate a synthetic scan. Strong volumetric correlations between portable ULF MRI and traditional neuroimaging were also reported. Portable ULF MRI usage in ABI patients is encouraging, however lack of diverse ABI samples and quantitative analyses limit its generalisability. Studies in a research context, carried out under controlled conditions, with larger samples (and across multiple centres) are necessary to ascertain portable ULF MRI's validity and reliability vis-à-vis conventional HF MRI.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100324"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2026-02-10DOI: 10.1016/j.ynirp.2026.100326
Bosi Chen , Lanxin Ji , Iris Menu , Alexis Taylor , Christopher J. Trentacosta , Moriah E. Thomason
{"title":"A null findings study: graph theoretical analysis of the fetal functional connectome shows no relationships with future autistic traits","authors":"Bosi Chen , Lanxin Ji , Iris Menu , Alexis Taylor , Christopher J. Trentacosta , Moriah E. Thomason","doi":"10.1016/j.ynirp.2026.100326","DOIUrl":"10.1016/j.ynirp.2026.100326","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) is a neurodevelopmental condition, with <em>ex vivo</em> studies suggesting its neurobiological origin as early as the first and second trimester of pregnancy. Functional MRI studies using graph-theoretical approaches have isolated features in the global connectome architecture that distinguish toddlers with ASD from their typically developing peers. Additionally, functional connectivity patterns in the infant brain have shown to be predictive of later ASD diagnosis. An important yet unexplored question in the literature is whether graph-theoretical differences are evident prior to infancy, in the brain of <em>fetuses</em> who will later exhibit ASD traits in early childhood. In this study, we address this question using a sample of 88 children with both quality-assured <em>fetal</em> brain resting-state functional MRI data and standardized parent assessment of ASD traits including social-emotional and social communication skills and repetitive and restricted behaviors at age 3. Multiple regression analyses revealed no significant associations between fetal global graph features (e.g., network segregation, integration, and small-world architecture) and ASD traits at age 3 (<em>p</em>'s > 0.1). Therefore, our findings do not provide support for prenatal emergence of global topographical differences of brain functional organization in fetuses who later develop ASD traits. However, this does not rule out the possibility of other neural signatures in the fetal functional connectome that may predict autistic traits and future ASD diagnosis.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100326"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146214516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Associations between structural brain alterations and dysfunction across cognitive domains in cerebral small vessel disease: A systematic review and meta-analysis","authors":"Zhijie Zhang , Xunqi Qian , Hua Zhang , Zijun Zhao , Wei Wang , Jingpei Wei","doi":"10.1016/j.ynirp.2025.100312","DOIUrl":"10.1016/j.ynirp.2025.100312","url":null,"abstract":"<div><div>Cerebral small vessel disease (CSVD) is a primary contributor to vascular cognitive impairment. Although extensive research has examined white matter alterations in CSVD, cortical mechanisms underlying cognitive dysfunction remain incompletely characterized. To address this gap, we conducted a systematic review and meta-analysis of 26 studies investigating whether structure-cognition relationships in CSVD could be interpreted through biologically defined functional brain networks. By mapping structural features to the Yeo-7 functional atlas, we offer a network-based perspective on cognitive impairment in this population. Our integrated results demonstrate significant associations between structural alterations and all cognitive domains in CSVD patients. Notably, higher-order cognitive processes (e.g., executive function, attention and processing speed) involved more extensive functional networks than other domains. These findings help synthesize heterogeneous neuroanatomical literature on CSVD through contemporary network neuroscience frameworks, suggesting structure-cognition relationships may align with functional network architecture.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100312"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2026-02-25DOI: 10.1016/j.ynirp.2026.100332
Christian Horstmann , Sabine Hofer , Peter Dechent , Mathias Bähr , Ilko Maier
{"title":"Real-time phase-contrast MRI can be used to quantify cerebrovascular reserve capacity – a comparative study to neurovascular ultrasound in healthy subjects","authors":"Christian Horstmann , Sabine Hofer , Peter Dechent , Mathias Bähr , Ilko Maier","doi":"10.1016/j.ynirp.2026.100332","DOIUrl":"10.1016/j.ynirp.2026.100332","url":null,"abstract":"<div><h3>Background</h3><div>Cerebrovascular reserve capacity (CVRC) is reduced in patients with advanced large artery atherosclerosis (LAA) and represents a risk factor for ischemic stroke. Aim of this study was to compare CVRC testing derived by neurovascular ultrasound (nvUS) and real-time phase-contrast MRI (RT-PC MRI).</div></div><div><h3>Methods</h3><div>In this study 25 subjects (age 33±13 years) without any LAA were first investigated with nvUS followed by RT-PC MRI performing a standardized hyperventilation-apnea-test. CVRC was determined in the medial (MCA) and posterior cerebral artery (PCA) using transtemporal nvUS and RT-PC MRI at 25 fps temporal resolution, 0.8×0.8 mm<sup>2</sup> in plane resolution and a slice thickness of 6 mm during free breathing. For statistical analysis a paired <em>t</em>-test and a pearson correlation were used at α=0.05.</div></div><div><h3>Results</h3><div>Overall, peak-systolic velocities (PSV) and end-diastolic velocities (EDV) showed lower values for the RT-PC MRI as compared to nvUS. The PSV-decrease during hyperventilation relative to baseline was higher in RT-PC MRI measurements (22% (MCA) and 26% (PCA) for nvUS vs. 34% (MCA) and 39% (PCA) for RT-PC MRI, p<0.001), while the relative PSV-increase from hyperventilation to apnea was comparable between both modalities with a mean difference of <10% (62% (MCA) and 78% (PCA) for nvUS vs. 70% (MCA) and 84% (PCA) for RT-PC MRI, p=0.171 for MCA and p=0.324 for PCA).</div></div><div><h3>Conclusions</h3><div>Both nvUS and RT-PC MRI based CVRC measurements showed reliable de- and increases in PSV during the standardized breathing protocol. RT-PC MRI represents a promising technique to determine CVRC in various intracranial vessels.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100332"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147396377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corticomuscular coherence and its non-invasive modulation in stroke applications: a narrative review","authors":"Yuchen Xu , Shaomin Zhang , Minmin Wang , Mohamad Sawan","doi":"10.1016/j.ynirp.2026.100329","DOIUrl":"10.1016/j.ynirp.2026.100329","url":null,"abstract":"<div><div>Neural activities are widely observed in the central nervous system and are essential for movement execution. Corticomuscular coherence (CMC) represents the coherence of oscillatory communication between motor cortex and peripheral muscles. Motor function impairments caused by stroke often involve abnormal CMC patterns. This review aimed to investigate CMC and how to modulate them for post-stroke functional recovery. We first introduced the origins of CMC in movement execution. We then explored how stroke affects CMC. Based on these abnormal CMC patterns, we summarized potential non-invasive neuromodulation strategies. A deeper understanding of CMC in beta band (∼15-30 Hz) could clarify the physiological mechanisms underlying movement and aid in improving stroke rehabilitation.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100329"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147328441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroimage. ReportsPub Date : 2026-03-01Epub Date: 2026-02-26DOI: 10.1016/j.ynirp.2026.100334
Xueping Lu , Kai Tang , Qiao Wang , Wenyu Wang , Xinling Xie , Changqing Zhan
{"title":"Case report: Hemodynamic dynamics in central variant PRES via serial ASL/DTI","authors":"Xueping Lu , Kai Tang , Qiao Wang , Wenyu Wang , Xinling Xie , Changqing Zhan","doi":"10.1016/j.ynirp.2026.100334","DOIUrl":"10.1016/j.ynirp.2026.100334","url":null,"abstract":"<div><h3>Background</h3><div>Central variant posterior reversible encephalopathy syndrome (PRES) is a rare subtype (4% of cases) affecting brainstem and deep structures, presenting with severe hypertension but minimal neurological deficits, creating diagnostic challenges.</div></div><div><h3>Case presentation</h3><div>A 34-year-old man presented with a two-month history of severe, refractory headache and malignant hypertension (256/150 mmHg). Brain MRI revealed diffuse T2-weighted and FLAIR hyperintensity in the pons and right middle cerebellar peduncle (MCP). Using serial arterial spin labeling (ASL) and diffusion tensor imaging (DTI), we provide the first longitudinal evidence of acute-phase biphasic hemodynamics in central variant PRES: concurrent pontine CBF of 27.1 mL/100 g/min (contralateral reference: 25.2 ± 1.8 mL/100 g/min) and right MCP CBF of 29.3 mL/100 g/min (contralateral reference: 39.1 ± 2.1 mL/100 g/min). This regional perfusion imbalance is consistent with autoregulatory failure and blood-brain barrier (BBB) compromise, leading to vasogenic edema. Critically, the coexistence of these opposing patterns reveals complementary hemodynamic phenotypes of cerebrovascular dysregulation. Post-treatment, pontine CBF was 25.3 mL/100 g/min (contralateral reference: 25.3 ± 1.8 mL/100 g/min) and right MCP CBF was 38.6 mL/100 g/min (contralateral reference: 39.2 ± 2.2 mL/100 g/min), both within the reference range of the contralateral regions, accompanied by progressive increase of fractional anisotropy (FA) on DTI at both the 6-day and 90-day follow-up imaging time points.</div></div><div><h3>Conclusion</h3><div>This case demonstrates biphasic hemodynamic changes in central variant PRES, supporting autoregulatory failure as the mechanism. Serial ASL/DTI provide valuable biomarkers for monitoring recovery in this rare phenotype.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"6 1","pages":"Article 100334"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147380020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}