Neuroimage. Reports最新文献

{"title":"Cognitive functioning and brain MRI findings six months after acute COVID-19. A prospective observational study","authors":"Janne Pihlajamaa ,&nbsp;Henriikka Ollila ,&nbsp;Juha Martola ,&nbsp;Linda Kuusela ,&nbsp;Riikka Pihlaja ,&nbsp;Annamari Tuulio-Henriksson ,&nbsp;Sanna Koskinen ,&nbsp;Viljami Salmela ,&nbsp;Laura Hokkanen ,&nbsp;Marjaana Tiainen ,&nbsp;Johanna Hästbacka","doi":"10.1016/j.ynirp.2025.100254","DOIUrl":"10.1016/j.ynirp.2025.100254","url":null,"abstract":"<div><h3>Introduction</h3><div>COVID-19 has been linked to many neurological complications, including cognitive impairment and findings in brain imaging. However, limited data exist regarding the link between magnetic resonance imaging (MRI) findings and cognitive functioning in COVID-19 patients.</div><div>In this observational prospective study, we investigated the association between brain MRI findings, particularly cerebral microbleeds (CMBs) and white matter hyperintensities (WMHs), and cognitive functioning in COVID-19 survivors.</div></div><div><h3>Methods</h3><div>Six months after acute COVID-19 diagnosed in 2020, 67 ICU-treated, 44 ward-treated, and 44 home-isolated patients, as well as 48 non-COVID-19 controls, underwent MRI and comprehensive neuropsychological evaluation. We applied multivariable linear regression models to investigate the independent associations of total cognitive score and domain scores separately with CMBs, WMHs and other factors.</div></div><div><h3>Results</h3><div>Age (p &lt; 0.001, β = −0.36) and educational level (p &lt; 0.001, β = 0.42) predominantly explained the differences in cognitive functioning. A lower total cognitive score was associated with the number of CMBs (p = 0.0016), but not with COVID-19 (p = 0.714). Among COVID-19 patients, treatment in a regular ward (p = 0.007, β = −0.46), a high burden of WMHs (p = 0.004, β = −1.35), and having one to three CMBs (p = 0.01, β = −0.43) were associated with lower total cognitive scores.</div></div><div><h3>Conclusion</h3><div>We observed a significant association between the presence of CMBs and lower cognitive scores, regardless of COVID-19 history. However, our results do not support CMBs to be independently associated with cognitive functioning. Additionally, WMH burden was associated with lower cognitive scores.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fixel based analysis on diffusion MRI of COVID-19 survivors","authors":"Sapna S Mishra ,&nbsp;Tapan Kumar Gandhi ,&nbsp;Bharat Biswal","doi":"10.1016/j.ynirp.2025.100253","DOIUrl":"10.1016/j.ynirp.2025.100253","url":null,"abstract":"<div><div>The underlying mechanisms of long-term sequelae of the COVID-19 infection, including fatigue, memory issues, and attention deficit, remain to be understood. Therefore, we investigated the Diffusion MRI scans of 73 COVID-Recovered Patients (CRPs) and 46 Healthy Controls (HCs) using Fixel-based analysis to study the sub-voxel microstructural properties of nervous tissue. We compared the Fiber Density (FD), log scaled Fiber Cross-section (log-FC), and a combined fiber density and cross-section measure (FDC) across the cohorts. Our study reveals significant alterations (pFWE &lt;0.01) in the uncinate fasciculus (FD, log-FC, FDC; CRP &gt; HC), perigenual corpus callosum (FD; CRP &gt; HC), fornix (log-FC, FDC; CRP &gt; HC), right arcuate fasciculus (FD; CRP &lt; HC), as well as bilateral clusters in the inferior longitudinal fasciculus (FD; CRP &lt; HC), and the corticospinal tract (FD; CRP &lt; HC). We suggest that these changes may be related to microscopic changes in axonal volume. Notably, the tracts identified in this study highlight the involvement of the limbic system and the visuospatial attention network in the disorder. We expect our findings to improve our understanding of the neurological underpinnings of COVID-19.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100253"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models","authors":"Lonneke Bos ,&nbsp;David R. van Nederpelt ,&nbsp;J.H. Cole ,&nbsp;E.M.M. Strijbis ,&nbsp;B. Moraal ,&nbsp;J.P.A. Kuijer ,&nbsp;B.M.J. Uitdehaag ,&nbsp;F. Barkhof ,&nbsp;A.M. Wink ,&nbsp;H. Vrenken ,&nbsp;B. Jasperse","doi":"10.1016/j.ynirp.2025.100252","DOIUrl":"10.1016/j.ynirp.2025.100252","url":null,"abstract":"<div><div>Accelerated brain aging is a marker of disease-related neurodegeneration in multiple sclerosis (MS). Artificial intelligence models, trained on healthy individuals, can estimate age from brain MRI scans, but the effects of technical variations between MR scanners and conditions on these estimates are currently insufficiently investigated. This study aims to determine the within-scanner repeatability and between-scanner reproducibility of the brain-predicted age difference (brain-PAD) across three brain age models.</div><div>30 people with multiple sclerosis and 10 healthy controls (mean age 44.2 ± 11.7 years and 39.2 ± 12.9 years, respectively), underwent six scans in a single day; a scan and immediate on a 3 T GE, 1.5 T Siemens and a 3 T Siemens MRI-scanner. Brain-PAD was determined using brainageR, DeepBrainNet and the MIDI-model from 3D T1w brain MRI-scans. Intraclass correlation coefficient (ICC) was used to quantify absolute agreement within-scanner (ICC-AA) and between-scanner consistency (ICC-C). Variance component analyses were used to determine the standard error of measurement (SEM) and the smallest detectable change (SDC).</div><div>Brain-PAD was higher for pwMS compared to HC when predicted with brainageR and DeepBrainNet, not when predicted with the MIDI-model. Within-scanner repeatability was excellent (ICC-AA&gt;0.93) for all models. Between-scanner reproducibility was good to excellent (ICC-C&gt;0.85) for brainageR and the MIDI-model, while DeepBrainNet, showed excellent between-scanner reproducibility for Sola vs. VIDA (ICC-C:0.97), but moderate for GE vs. Sola and for GE vs. Vida (ICC-C:0.63 and 0.61). Between-scanner SDC was 6.56 years for brainageR, 5.57 years for the MIDI-model and 22.65 years for DeepBrainNet.</div><div>Our findings demonstrated high repeatability of brain age estimates from the same scanner, but variable reproducibility across different scanners, irrespective of the brain age prediction model.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100252"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Domain-specific brain regions are associated with cognitive impairment in progressive supranuclear palsy","authors":"N. Schröter ,&nbsp;M. Rijntjes ,&nbsp;J.A. Hosp ,&nbsp;M. Reisert ,&nbsp;H. Mast ,&nbsp;C. Weiller ,&nbsp;P. Oikonomou ,&nbsp;L. Frings ,&nbsp;H. Urbach ,&nbsp;W.H. Jost ,&nbsp;A. Rau","doi":"10.1016/j.ynirp.2025.100247","DOIUrl":"10.1016/j.ynirp.2025.100247","url":null,"abstract":"<div><h3>Background</h3><div>Cognitive impairment significantly contributes to the disease burden of progressive supranuclear palsy (PSP), however, the underlying pathophysiologiy is not well understood.</div></div><div><h3>Objectives</h3><div>To gain a better understanding of the pathophysiology, we identified the brain regions associated with individual domains of impaired cognition.</div></div><div><h3>Methods</h3><div>We analyzed MRI data from a cohort of 31 patients with PSP (age 71.0 +-7.0 years, range 58–87; 15 females; disease duration 2.9 +- 1.8 years). Cerebral microstructure was approximated with Diffusion Microstructure Imaging and cognitive performance was measured using the Frontal Assessment Battery (FAB) and Montreal Cognitive Assessment (MoCA). To reveal the underlying affected brain regions, whole-brain voxel-wise associations were employed to test the microstructural metrics regarding their correlation with the FAB as well as the individual cognitive domains ‚Attention‘, ‚Execution‘, ‚Language‘, ‚Memory‘, ‚Orientation‘, and ‚Visuoconstruction‘ derived from MoCA.</div></div><div><h3>Results</h3><div>MoCA performance was impaired in 87.5% of patients (20.2 +- 5.4 points, range 8–28; cut-off value: &lt;26/30). In the voxel-wise analyses, we noted significant associations of cerebral microstructure and FAB in the right-sided frontal and temporopolar white matter, deficits in ‚Memory‘ with hippocampal and temporomesial regions, in reduced ‚Orientation‘ with wide spread white-matter areas with a parietal accentuation, whereas deficits in ‚Attention‘ correlated with frontal and prefrontal structures.</div></div><div><h3>Conclusions</h3><div>Diffusion Microstructure Imaging revealed domain-specific regions of neurodegenerative alterations in PSP. The regions identified in this approach integrate well in existing disease concepts. They might therefore be a possible biomarker for cognitive impairment, as well as amonitoring parameter for future disease modifying therapeutics.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100247"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional connectivity of subsystems of the default-mode network in patients with early psychotic symptoms","authors":"Nicky Lute ,&nbsp;Imke Lemmers-Jansen ,&nbsp;Lydia Krabbendam ,&nbsp;Mariët van Buuren","doi":"10.1016/j.ynirp.2025.100248","DOIUrl":"10.1016/j.ynirp.2025.100248","url":null,"abstract":"<div><div>Resting-state connectivity of the default-mode network (DMN) is aberrant in patients with chronic psychotic disorders as well in individuals with early stage psychosis. Studies of the DMN in healthy volunteers revealed that the DMN comprises several subnetworks. However, it is not yet clear if connectivity between and within these DMN subnetworks is aberrant in patients with early psychotic symptoms nor whether these connectivity patterns are related to symptomatology. This initial investigation examined functional connectivity between and within the DMN subnetworks in patients with early psychotic symptoms and in healthy volunteers, and probed how these connectivity patterns were related to the severity of clinical symptomatology. Functional connectivity was measured during resting-state in 30 patients with early psychotic symptoms and in 39 controls using functional MRI. We did not observe differences in connectivity within and between the subnetworks of the DMN between the control group and the early psychosis group. However, lower functional connectivity between the medial prefrontal and posterior medial subnetworks and between medial prefrontal and anterior temporal subnetworks of the DMN did predict the severity of the negative symptoms. The findings of this initial investigation provide insight into the associations between functional connectivity of DMN subnetworks and symptomatology in patients with early psychotic symptoms.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100248"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unsupervised subtyping of motor dysfunction of Parkinson's disease and its structural brain imaging correlates","authors":"Yu-Fan Lin ,&nbsp;Jong-Ling Fuh ,&nbsp;Albert C. Yang","doi":"10.1016/j.ynirp.2025.100246","DOIUrl":"10.1016/j.ynirp.2025.100246","url":null,"abstract":"<div><h3>Background</h3><div>Parkinson's disease (PD) is a clinical neurodegenerative disorder. The Unified Parkinson's Disease Rating Scale (UPDRS) has been used as a standard measure of the PD symptom profile, and magnetic resonance (MR) imaging is widely used for identifying the critical brain regions involved in PD progression.</div></div><div><h3>Objectives</h3><div>The present study aimed to (1) identify PD subtypes based on the motor dysfunction profile in the MDS-UPDRS and (2) find the differences in gray matter volumes of brain regions, and (3) compare non-motor features between the subtypes to explore their distinct clinical profiles.</div></div><div><h3>Methods</h3><div>In total, 299 patients with PD and 173 healthy participants from the Parkinson's Progression Markers Initiative were included. A software package, Generalized Association Plots, was used to cluster the motor dysfunction profile in the MDS-UPDRS. Regression models and the Artificial Intelligence Platform as a Service were used to quantify the differences in gray matter volume of brain regions between subtypes.</div></div><div><h3>Results</h3><div>We identified three PD subtypes—resting tremor, intermediate, and akinetic-rigid—using motor symptom clustering. MRI analysis revealed significant differences in brain regions, including the posterior cingulate gyrus, lenticular nucleus, olfactory cortex, and cerebellum. Non-motor features, such as cognitive decline and autonomic dysfunctions, varied across subtypes, highlighting distinct systemic profiles. Akinetic-rigid patients exhibited the most severe impairments, while tremor-dominant patients showed milder non-motor symptoms.</div></div><div><h3>Discussion</h3><div>Three PD subtypes of motor dysfunction were identified. Structural brain imaging revealed subtype-specific differences not only in cingulum and putamen regions, but also in the olfactory cortex, parahippocampal gyrus, and cerebellum, correlating with motor symptoms. Non-motor features varied by subtype, with increasing severity from tremor-dominant to akinetic-rigid.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100246"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiation-induced brain injury in non-human primates: A dual tracer PET study with [11C]MPC-6827 and [11C]PiB","authors":"Naresh Damuka ,&nbsp;George W. Schaaf ,&nbsp;Mack Miller ,&nbsp;Caleb Bradley ,&nbsp;Bhuvanachandra Bhoopal ,&nbsp;Ivan Krizan ,&nbsp;Krishna K. Gollapelli ,&nbsp;Christopher T. Whitlow ,&nbsp;J. Mark Cline ,&nbsp;Kiran K. Solingapuram Sai","doi":"10.1016/j.ynirp.2025.100245","DOIUrl":"10.1016/j.ynirp.2025.100245","url":null,"abstract":"<div><div>Radiation-induced brain injury (RIBI) and Alzheimer's disease (AD) share key pathological features, including β-amyloid (Aβ) plaque formation and microtubule (MT) destabilization, both contributing to neurodegeneration. This pilot study assessed Aβ deposition and MT stability in non-human primates (NHPs) exposed to ionizing radiation, utilizing [¹¹C]PiB and [¹¹C]MPC-6827 PET imaging to explore neurodegenerative mechanisms. Fourteen rhesus macaques, seven irradiated and seven controls underwent PET imaging. Tracers were synthesized and brain regions (ex. cingulate, hippocampus, and occipital lobe) were analyzed for tracer uptake. Although no statistically significant whole-brain differences in tracer uptake were found between irradiated and control groups, significant regional differences were observed in the occipital lobe, where irradiated NHPs exhibited higher [¹¹C]MPC-6827 uptake (p &lt; 0.0001), suggesting MT destabilization. No significant differences were found in [¹¹C]PiB uptake. Correlation analysis revealed a slight positive association (Pearson r = 0.2866) between irradiation dose and [¹¹C]MPC-6827 uptake. These findings suggest that irradiation-induced MT destabilization may be region-specific, offering insights into shared neurodegenerative pathways in RIBI and AD, highlighting the potential of [¹¹C]MPC-6827 as a marker for early neuronal dysfunction in irradiated brains.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100245"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Practical scan-length considerations for mapping upper limb movements to the somatosensory/motor cortex at 7T: A pilot study","authors":"D. Rangaprakash ,&nbsp;Olivia E. Rowe ,&nbsp;Hyungeun Song ,&nbsp;Samantha Gutierrez-Arango ,&nbsp;Julianna Gerold ,&nbsp;Erica A. Israel ,&nbsp;Michael F. Fernandez ,&nbsp;Matthew J. Carty ,&nbsp;Hugh M. Herr ,&nbsp;Robert L. Barry","doi":"10.1016/j.ynirp.2025.100240","DOIUrl":"10.1016/j.ynirp.2025.100240","url":null,"abstract":"<div><div>The relationship between motor cortex (M1) and upper limb movements has been investigated extensively using functional MRI (fMRI). While most research has focused on applications, very few studies have focused on practical aspects of developing the fMRI protocol. Thus, the effect of scan length on M1 activations during various upper limb movements remains unclear. Scan length constraints are important for conducting motor experiments within a 60- or 90-minute scan session. We targeted this gap in the literature in this pilot study by investigating 7T fMRI activations in a male participant while performing eight different upper limb movements (of the fingers, wrist, and elbow) across 16 task runs (8 with the left arm, 8 with the right arm, 88 minutes total fMRI duration). Standard activation analyses were performed (<em>Z</em> &gt; 3.1, <em>p</em> &lt; 0.01, cluster thresholded) independently for 14 different cases (2 runs through 8 runs, left and right arm) and subsequently compared. We found diminishing returns, presented as activations gradually plateauing, with higher number of runs. We observed two broad categories of movements, one with generally higher activation (more activated voxels and higher Z-stats) and the other with lower activation. To achieve similar statistical power, movements with lower activation required longer scanning (more runs). Based on these observations, we propose a ‘<em>one size does not fit all</em>’ practical protocol within a 60-, 75-, or 90- minute scan session, wherein different numbers of runs are assigned for different movements. We validated the 75-minute protocol using seven separate scans (N = 3). Our study could benefit researchers who are designing upper limb fMRI experiments.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100240"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilization of resting-state electroencephalography spectral power in convolutional neural networks for classification of primary progressive aphasia","authors":"Christina Quinn ,&nbsp;Alex Craik ,&nbsp;Rachel Tessmer ,&nbsp;Maya L. Henry ,&nbsp;Heather Dial","doi":"10.1016/j.ynirp.2025.100242","DOIUrl":"10.1016/j.ynirp.2025.100242","url":null,"abstract":"<div><div>We investigated relative power spectral density (PSD) in primary progressive aphasia (PPA) in delta, theta, alpha, and beta frequency bands in eyes open and closed resting-state electroencephalography (EEG). Our aims were to assess whether discernible differences could be observed between each PPA variant and to determine the utility of PSD for PPA classification when used as input to a convolutional neural network (CNN). Findings in the current study were similar to previous studies in logopenic PPA, with a significant increase in relative PSD in delta and theta bands and a significant reduction in the beta band (consistent with oscillatory slowing). We did not observe a significant increase in power for lower frequency bands or a reduction of power in higher frequency bands for semantic or nonfluent PPA, in contrast to what has been previously reported. In semantic PPA, evidence pointed to oscillatory speeding, not the slowing that was previously reported in a single-case study. In nonfluent PPA, spectral power fell between logopenic and semantic PPA, suggesting there is oscillatory slowing but to a lesser extent than logopenic PPA. The CNN was relatively successful in distinguishing PPA from healthy controls (F1 = 0.851). The CNN did not perform as well on four-way classification (lvPPA, svPPA, nfvPPA, controls; F1 = 0.586) but was significantly above chance. These results are promising and suggest that resting-state EEG may prove useful as a biomarker for PPA diagnosis. Potential factors underlying the differences between the findings of the current study and previous work are discussed.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100242"},"PeriodicalIF":0.0,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data","authors":"Marlous M.L.H. Verhulst ,&nbsp;Puck Lange ,&nbsp;Anil Man Tuladhar ,&nbsp;Prejaas Tewarie ,&nbsp;Pauline C.W. van Gils ,&nbsp;Caroline van Heugten ,&nbsp;Judith Bonnes ,&nbsp;Thijs Delnoij ,&nbsp;Rick Helmich ,&nbsp;Jeannette Hofmeijer","doi":"10.1016/j.ynirp.2025.100244","DOIUrl":"10.1016/j.ynirp.2025.100244","url":null,"abstract":"<div><h3>Introduction</h3><div>Half of all cardiac arrest patients experience long-term cognitive impairment. Identifying patients at risk is challenging and underlying mechanisms are incompletely understood. Since postanoxic encephalopathy is diffuse, measures of global network organization might contribute to identifying these patients at risk. We studied MRI-based whole-brain and subnetwork topology in relation to short- and long-term cognitive outcomes after cardiac arrest.</div></div><div><h3>Methods</h3><div>We performed a multicenter prospective cohort study in cardiac arrest survivors. Patients underwent resting-state functional MRI during hospitalization (within one month after cardiac arrest). We analyzed 264 regions of interest using Power's atlas, extracting mean timeseries and calculating pairwise connectivity with Pearson's correlation. Overall functional connectivity, global efficiency, clustering coefficient, and modularity were calculated for the whole brain and five subnetworks. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) during hospitalization, at three, and twelve months, and using neuropsychological examination at twelve months. Mixed effects models were used to examine relationships between topology measures and cognitive outcomes. We corrected for multiple testing.</div></div><div><h3>Results</h3><div>We included 80 patients (age 60 ± 11 years, 70 (90%) male). Our analyses showed consistent relations between various topology measures of the sensory/somatomotor network (SSN) and MoCA score during hospitalization and memory, attention, and executive functioning at twelve months follow up. After correction for multiple testing, we found no statistically significant relations between whole-brain and subnetwork graph measures and cognitive outcomes.</div></div><div><h3>Conclusion</h3><div>Early whole brain functional topology was not related to short- or long-term cognitive outcome after cardiac arrest in this analysis. Potential relations between SSN topology and cognitive outcome point towards spatial heterogeneity of postanoxic encephalopathy. Possible predictive values of SSN structure or function need further investigation.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100244"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}