NeuroImage最新文献

{"title":"The impact of methylphenidate on choice impulsivity is inversely associated with corpus callosum fiber integrity across sexes","authors":"Maryana Daood ,&nbsp;Leehe Peled-Avron ,&nbsp;Rachel Ben-Hayun ,&nbsp;Michael Nevat ,&nbsp;Judith Aharon-Peretz ,&nbsp;Rachel Tomer ,&nbsp;Roee Admon","doi":"10.1016/j.neuroimage.2025.121196","DOIUrl":"10.1016/j.neuroimage.2025.121196","url":null,"abstract":"<div><h3>Background</h3><div>Choice impulsivity represents preference towards smaller immediate rewards over larger delayed rewards. Extensive literature demonstrates that choice impulsivity can be manipulated using dopaminergic agonists such as methylphenidate (MPH), and that females exhibit elevated choice impulsivity compared to males. Sex differences are also frequently reported with respect to brain white matter (WM) fiber integrity. It has yet to be determined whether sex differences also exist in the impact of MPH on choice impulsivity, and whether these putative differences are accounted for by the integrity of differential WM fibers.</div></div><div><h3>Methods</h3><div>Forty-eight healthy young adults completed the delay discounting (DD) task twice during MRI-DTI scans after receiving either MPH or placebo in a double-blind, placebo-controlled, within-subject design. WM fiber integrity was assessed using automated fiber quantification (AFQ) and tract-based spatial statistics (TBSS).</div></div><div><h3>Results</h3><div>Compared to placebo, MPH yielded significantly reduced choice impulsivity in males but not in females. DTI data revealed reduced integrity in multiple WM fibers in females compared to males. Interestingly, the impact of MPH on choice impulsivity was negatively associated with fiber integrity in the forceps major of the corpus callosum for males only and positively associated with fiber integrity in the forceps minor of the corpus callosum for females only.</div></div><div><h3>Conclusions</h3><div>Taken together, results uncover sex-specific effects of MPH on choice impulsivity, accounted for by inverse associations between choice impulsivity under MPH and the structural integrity of distinct segments of the corpus callosum. These findings highlight the need to consider sex differences in the neurobiological mechanisms of impulsivity.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121196"},"PeriodicalIF":4.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finding the sweet spot of memory modification: An fMRI study on episodic prediction error strength and type","authors":"Nina Liedtke ,&nbsp;Marius Boeltzig ,&nbsp;Falko Mecklenbrauck ,&nbsp;Sophie Siestrup ,&nbsp;Ricarda I. Schubotz","doi":"10.1016/j.neuroimage.2025.121194","DOIUrl":"10.1016/j.neuroimage.2025.121194","url":null,"abstract":"<div><div>Previous research has highlighted the critical role of prediction errors (PEs) in signaling the need to adapt memory representations in response to unexpected changes in the environment. Yet, the influence of PE type and strength on memory remains underexplored. In this study, participants encoded naturalistic dialogues prior to undergoing fMRI scanning. During the fMRI session, they listened to dialogues that had been modified in their surface or gist, to varying extents. As expected, our findings revealed robust activation in the inferior frontal gyrus for all PEs. Notably, gist modifications elicited additional activations within the episodic memory network, including the hippocampus. A post-fMRI recognition test demonstrated that surface modifications had no significant impact on memory. Conversely, weak gist changes impaired memory for the original content and hindered learning of the modification. These weak gist changes also triggered activation in the parahippocampal cortex. These results underscore the importance of both the type and strength of PEs in shaping brain activations and memory outcomes, highlighting their complex interplay in cognitive processes.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121194"},"PeriodicalIF":4.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous measurement of cerebral blood flow and cerebrospinal fluid flow using pseudo-continuous arterial spin labeling","authors":"Jae-Geun Im ,&nbsp;Jun-Hee Kim ,&nbsp;Sung-Hong Park","doi":"10.1016/j.neuroimage.2025.121192","DOIUrl":"10.1016/j.neuroimage.2025.121192","url":null,"abstract":"<div><div>In the brain clearance system, the movement of cerebrospinal fluid (CSF) plays a key role in processing waste products. Previous studies have shown that CSF flow interacts significantly with cerebral blood flow (CBF) during brain waste clearance, but there are no simultaneous measurements and comparisons of these two metrics in humans. This study introduces a novel method for simultaneously measuring CSF pulsatile movement and CBF using pseudo-continuous arterial spin labeling (pCASL) MRI. We conducted a comparative analysis of the correlation between CBF and CSF pulsatile movement in human subjects during breath-holding and motor task conditions. Our findings demonstrate the effectiveness of our proposed technique in measuring CSF pulsatile movement, as validated by comparing results with phase-contrast MRI at corresponding locations. Importantly, we observed a robust positive correlation between CBF and CSF pulsation concurrently measured through pCASL during breath-holding. Furthermore, through inter-subject comparisons of regional CBF and CSF pulsation, we established that higher blood perfusion in putamen, caudate, and pallidum regions, which are included in basal ganglia structure, corresponds to greater CSF pulsatile movement. Our motor tasks significantly increased CBF in the motor cortex, and CSF pulsation measured in the dorsal part around cisterna magna showed a decreasing tendency in the motor condition compared to the resting state, aligning with the Monroe-Kelly doctrine. Accordingly, these results demonstrate the feasibility of simultaneous measurement of CBF and CSF pulsation using the proposed pCASL technique in humans, which warrants further investigation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121192"},"PeriodicalIF":4.7,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spinal and corticospinal excitability changes with voluntary modulation of motor cortex oscillations","authors":"Ioana Susnoschi Luca,&nbsp;Aleksandra Vuckovic","doi":"10.1016/j.neuroimage.2025.121156","DOIUrl":"10.1016/j.neuroimage.2025.121156","url":null,"abstract":"<div><h3>Aim</h3><div>The aim of this study was to investigate the effects of EEG neurofeedback (NF)-induced modulation of sensorimotor alpha (i.e., mu) rhythm on spinal and corticospinal tract (CST) excitability.</div></div><div><h3>Methods</h3><div>Forty-three healthy volunteers participated in 3 sessions of EEG-NF for upregulation (N=24) or downregulation (N=19) of individual alpha oscillations at central location Cz. Spinal excitability was studied before and during NF using H-reflex of the <em>soleus</em> muscle, and CST excitability was tested before and after NF, through Motor-Evoked Potential (MEP) of the <em>tibialis anterior</em> muscle. Mu rhythm was extracted using current source density. Differences in MEP and H-reflex before and during/after NF were analysed using repeated measures analysis. The relationship with motor cortexcortical excitability was estimated through linear regression between change in MEP/H-reflex, and change in power of mu rhythm and the upper portion of mu rhythm, mu_h.</div></div><div><h3>Results</h3><div>CST excitability changes were significantly correlated to change in mu_h (<span><math><mi>p</mi></math></span>-value <span><math><mo>&lt;</mo></math></span> 0.044, <span><math><mrow><mrow><mo>|</mo><mi>r</mi><mo>|</mo></mrow><mo>&gt;</mo><mn>0</mn><mo>.</mo><mn>42</mn></mrow></math></span>), while spinal excitability changes were correlated to broad mu power modulation (<span><math><mi>p</mi></math></span>-value <span><math><mo>&lt;</mo></math></span> 0.04, <span><math><mrow><mo>|</mo><mi>r</mi><mo>|</mo></mrow></math></span> <span><math><mo>&gt;</mo></math></span> 0.43). While no distinct effect of NF on spinal versus CST excitability was found, the correlations indicate an inverted U-shape relationship between cortical and subcortical excitability. The trends of the correlations between spinal/CST excitability change and EEG power change were preserved when participants were grouped by success at NF task, and by mu modulation outcome, indicating that the net effect of power change at Cz weighs more than the task the participants attempted to accomplish.</div></div><div><h3>Conclusions</h3><div>The consistent direction of mu power correlation with both MEP, tested after NF, and H-reflex, tested during NF, indicates that modifications in mu activity are associated with spinal and CST adaptations lasting beyond the NF session, evidencing neuroplasticity. Together with the inverted U-shape relationship found between amplitude of mu modulation and spinal/CST excitability change, the results provide support for further research and clinical implementation of NF to induce CNS plasticity, a prerequisite for effective neural rehabilitation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121156"},"PeriodicalIF":4.7,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of functional dynamic brain states based on graph attention networks","authors":"Inyoung Baek ,&nbsp;Jong Young Namgung ,&nbsp;Yeongjun Park ,&nbsp;Seongil Jo ,&nbsp;Bo-yong Park","doi":"10.1016/j.neuroimage.2025.121185","DOIUrl":"10.1016/j.neuroimage.2025.121185","url":null,"abstract":"<div><div>Investigation of the functional dynamics of the human brain can help to unveil inherent cognitive systems. In this study, we adopted a graph attention network-based anomaly detection technique to identify abrupt changes in functional time series. We used the resting-state functional magnetic resonance imaging data of 1010 participants from the Human Connectome Project. By applying multivariate time series anomaly detection using the graph attention network approach, we identified three distinct brain states, termed S1, S2, and S3. We further generated low-dimensional representations of functional connectivity (i.e., gradients) for each brain state and compared these gradients among brain states. S1 and S3 exhibited segregated network patterns, whereas S2 displayed more integrated patterns. A topological analysis based on the graph measures revealed that the integrated state (S2) exhibited strong inter-regional connectivity. Further, the two segregated states exhibited distinct patterns, with S1 being more involved in the somatomotor network and S3 being related to higher-order association areas. When we assessed the transitions between brain states, transitions between the low-level sensory (S1) and higher-order default mode states (S3), as well as between the sensory-focused segregated state (S1) and integrated state (S2), were associated with sensory/motor and memory-related tasks. In contrast, the transitions between the integrated (S2) and segregated states with higher centrality in the default mode region (S3) were found to be related to language and reward tasks. These findings indicate that the proposed approach captures changes in individual participant-level brain dynamics, thereby enabling the assessment of inherently dynamic brain systems.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121185"},"PeriodicalIF":4.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain physiological pulsations are linked to sleep architecture and cognitive performance in older adults","authors":"Rodolphe Nenert ,&nbsp;Christina Mueller ,&nbsp;Corina Catiul ,&nbsp;Jennifer Pilkington ,&nbsp;Pierre LeVan ,&nbsp;Ayushe Sharma ,&nbsp;Jerzy P. Szaflarski ,&nbsp;Amy W. Amara","doi":"10.1016/j.neuroimage.2025.121187","DOIUrl":"10.1016/j.neuroimage.2025.121187","url":null,"abstract":"<div><h3>Background</h3><div>The glymphatic system facilitates efficient waste clearance in the brain through the movement of cerebrospinal fluid (CSF) along perivascular spaces. Animal studies have demonstrated that glymphatic efficiency declines with age, but evidence for such decline in humans is limited. We hypothesized that reduced glymphatic efficiency in older adults may be related to age-related worsening of sleep quality, potentially contributing to cognitive impairment.</div></div><div><h3>Methods</h3><div>20 participants aged ≥60 years provided multi-dimensional cognitive measures, overnight polysomnography, and Magnetic Resonance Encephalography (MREG) performed the morning following the PSG. MREG is a single-shot, three-dimensional (3D) sequence employing a spherical stack-of-spirals trajectory that undersamples 3D k-space, enabling whole-brain data acquisition every 100 milliseconds to non-invasively and dynamically assess brain physiological pulsations. Spectral power and optical flow analyses quantified physiological pulsations within cardiovascular (CvB; 0.52–1.6 Hz), respiratory (RFB; 0.11–0.44 Hz), and low-frequency (LFB; 0.008–0.1 Hz) bands. These measures were correlated with cognitive test scores and sleep parameters assessed by overnight polysomnography.</div></div><div><h3>Results</h3><div>Significant associations emerged between physiological pulsations, sleep, and cognitive measures. Cardiovascular pulsation strength correlated with non-rapid eye movement (NREM) stage 3 (N3) sleep percentage (peak voxel in right frontal pole; <em>r</em> = 0.72, <em>p</em> &lt; 0.001) and language domain performance (left calcarine gyrus; <em>r</em> = 0.56, <em>p</em> = 0.01). Respiratory pulsations correlated strongly with sleep onset latency (right inferior temporal gyrus; <em>r</em> = 0.75, <em>p</em> &lt; 0.001). Additionally, low-frequency pulsations were associated with sleep onset latency (right precentral gyrus; <em>r</em> = 0.67, <em>p</em> = 0.002). These findings suggest that glymphatic efficiency, as reflected by brain pulsations, is closely linked to sleep quality and cognitive performance in older adults, particularly involving cortical and subcortical structures relevant to cognitive and sleep regulatory functions.</div></div><div><h3>Conclusion</h3><div>This study uniquely demonstrates that brain physiological pulsations measured non-invasively with MREG are significantly associated with sleep architecture and cognitive performance in older adults. These findings underscore the potential of MREG to assess glymphatic function and provide important insights into the mechanisms linking sleep disturbances, cognitive decline, and aging. The identified correlations between pulsations and specific brain regions highlight potential pathways through which impaired glymphatic function could contribute to cognitive decline in older adults, suggesting promising avenues for future clinical and research applications.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121187"},"PeriodicalIF":4.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast fluid-attenuated T2 mapping via multiple overlapping-echo detachment acquisition enhances preoperative histological classification of meningiomas","authors":"Qizhi Yang ,&nbsp;Yijie Yang ,&nbsp;Lu Wang ,&nbsp;Xiao Wang ,&nbsp;Linyu Fan ,&nbsp;Weijian Wang ,&nbsp;Qinqin Yang ,&nbsp;Jianhui Zhong ,&nbsp;Jingliang Cheng ,&nbsp;Yong Zhang ,&nbsp;Jianfeng Bao ,&nbsp;Congbo Cai ,&nbsp;Shuhui Cai","doi":"10.1016/j.neuroimage.2025.121186","DOIUrl":"10.1016/j.neuroimage.2025.121186","url":null,"abstract":"<div><div>Fluid-attenuated inversion recovery (FLAIR) is indispensable in MRI-based head-and-neck assessments, but its quantitative counterpart remains clinically absent due to the influence of cerebrospinal fluid (CSF) dynamics and the lengthy acquisition time spent on a series of weighting-increasing images. This work implements and validates fast fluid-attenuated T2 (FLA-T2) mapping via inversion-recovery-prepared multiple overlapping-echo detachment imaging (IR-MOLED). The clinical value is prospectively investigated with a cohort of 54 meningioma patients (mean age: 56 years ± 11 [standard deviation]; 19 men). Fluid-attenuated proton density mapping was simultaneously fulfilled and therefore intrinsically co-registered, revealing notable benefits in identifying CSF inflow. In quantifying parenchymal T2, IR-MOLED yielded a mean absolute error of 1.22 ms referring to spin-echo, and in fluid suppression, IR-MOLED exhibited a high radiographic consistence with orthodox FLAIR imaging. Using first-level histogram analysis, results of meningioma investigation first discovered: (1) in grading meningiomas, FLA-T2 mapping (AUC = 0.814) outshined FLAIR imaging (AUC = 0.685), contrast-enhanced T1-weighted imaging (insignificant), and T2 mapping (insignificant); and (2) in typing meningiomas, FLA-T2 classified transitional meningiomas from meningothelial or/and fibrous meningiomas, complementing the predictive ability of T2 mapping. In conclusion, with excluded parametric contribution from free water and standardized voxel value scales, FLA-T2 mapping permits a more precise description of brain parenchyma in both structural morphology and relaxation variables than T2 mapping and is fully superior to FLAIR imaging in preoperatively predicting the histopathologic heterogeneity of meningiomas.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121186"},"PeriodicalIF":4.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated segmentation of the dorsal root ganglia in MRI","authors":"Aliya C. Nauroth-Kreß ,&nbsp;Simon Weiner ,&nbsp;Lea Hölzli ,&nbsp;Thomas Kampf ,&nbsp;György A. Homola ,&nbsp;Mirko Pham ,&nbsp;Philip Kollmannsberger ,&nbsp;Magnus Schindehütte","doi":"10.1016/j.neuroimage.2025.121189","DOIUrl":"10.1016/j.neuroimage.2025.121189","url":null,"abstract":"<div><div>The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in somatosensory and pain processing remains unclear. Recently, MR imaging techniques have been developed for objective <em>in vivo</em> observation of the DRG. In particular, DRG MR imaging endpoints such as DRG volume and DRG T2w signal are emerging as biomarkers with initial evidence of meaningful correlations with biochemical and genetic parameters as well as neuropathic pain as clinically relevant applications. However, the future validation and use of these novel imaging biomarkers critically depends on the development of fully automated methods for DRG image analysis. To date, DRG detection and evaluation on MR images has been limited to expert annotation through manual segmentation. Fast and operator-independent, yet accurate and robust, segmentation methods are required to enable observation of larger patient cohorts and across multiple sites. Thus, fully automated DRG segmentation is a prerequisite for the analysis of more complex microstructural and functional image datasets, such as from DRG diffusion tensor or perfusion metabolic imaging.</div><div>Here, we developed a fully automated DRG segmentation workflow based on deep learning. A convolutional neural network (CNN) was trained using the nnU-Net framework on a large dataset of high-resolution 3D T2-weighted MR images of healthy controls (220 DRGs). Automated DRG segmentations generated with this network were on par with expert annotations (dice similarity coefficient of 0.87 for human expert vs. 0.89 for trained CNN) while being faster by a factor of 10. Finally, we validated the method in Fabry disease as a genetic model disorder for DRG pathomorphological injury. The trained CNN was able to reproduce the manually segmented changes known in FD patients as a function of FD genotype and FD pain phenotype.</div><div>We developed a fully automated method for DRG MRI segmentation and validated its application as a novel imaging biomarker using the DRG injury example of Fabry disease.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121189"},"PeriodicalIF":4.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered neural avalanche spreading in people with drug-resistant epilepsy✰","authors":"B.M. Sancetta ,&nbsp;M.A.G. Matarrese ,&nbsp;L. Ricci ,&nbsp;J. Lanzone ,&nbsp;G. Lippa ,&nbsp;M. Nesta ,&nbsp;F. Zappasodi ,&nbsp;M. Brunetti ,&nbsp;V. Di Lazzaro ,&nbsp;M. Tombini ,&nbsp;G. Assenza","doi":"10.1016/j.neuroimage.2025.121188","DOIUrl":"10.1016/j.neuroimage.2025.121188","url":null,"abstract":"<div><h3>Objective</h3><div>To characterize a peculiar “EEG endophenotype” of drug-resistant epilepsy (DRE) through the graph theory characterization of avalanche spatiotemporal spreading properties.</div></div><div><h3>Methods</h3><div>We performed avalanche analysis and computed avalanche transition matrices (ATMs) on 19-channel scalp EEG of 120 people with epilepsy (60 DRE and 60 non-DRE) who assumed two anti-seizure medications, comparing such results with a group of 40 healthy subjects (HS). Network topologies of ATMs were characterized through graph theory metrics. We performed an analysis of variance to compare aperiodic metrics between HS, DRE and non-DRE. Logistic regression was performed to test and compare the ability of graph theory metrics on ATM and clinical features to correctly discriminate the PwE group according to the clinical outcome (DRE or non-DRE).</div></div><div><h3>Results</h3><div>DRE exhibited a peculiar altered avalanche spreading as proved by the higher mean betweenness centrality, the longer characteristic path length and the lower small-world index (more regular and less plastic network topology) of ATMs than non-DRE and HS (p-values from &lt;0.001 to 0.05). Graph metrics on ATMs significantly improved the yield of detecting DRE and contributed the most to the model accuracy (0.83) than clinical features. Resting-state EEG activity of HS and PwE did not deviate from the characteristics of a system operating at criticality.</div></div><div><h3>Conclusions</h3><div>ATMs detect alterations of resting-state networks peculiar to the DRE condition.</div></div><div><h3>Significance</h3><div>These findings could open new scenarios for the future identification of promising biomarkers of DRE through scalp EEG.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121188"},"PeriodicalIF":4.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facilitating cognitive neuroscience research with 80-sensor optically pumped magnetometer magnetoencephalography (OPM-MEG)","authors":"Wei Xu ,&nbsp;Pan Liao ,&nbsp;Miao Cao ,&nbsp;David J. White ,&nbsp;Bingjiang Lyu ,&nbsp;Jia-Hong Gao","doi":"10.1016/j.neuroimage.2025.121182","DOIUrl":"10.1016/j.neuroimage.2025.121182","url":null,"abstract":"<div><div>Recent advancements in optically pumped magnetometer magnetoencephalography (OPM-MEG) make it a promising alternative to conventional SQUID-MEG systems. Nonetheless, as reported in the literature, current OPM-MEG systems are often constrained by a limited number of sampling points, which restricts their capability to match the full-head coverage offered by SQUID-MEG systems. Additionally, whether OPM-MEG can deliver results comparable to SQUID-MEG in practical cognitive neuroscience applications remains largely unexplored. In this study, we introduce a high-density, full-head coverage OPM-MEG system with 80 sensors and systematically compare the performance of OPM-MEG and SQUID-MEG, from sensor- to source-level analysis, across various classic cognitive tasks. Our results demonstrate that visual and auditory evoked fields captured using OPM-MEG align closely with those obtained from SQUID-MEG. Furthermore, steady-state visual evoked field and finger-tapping-induced beta power change recorded with OPM-MEG are accurately localized to corresponding brain regions, with activation centers highly congruent to those observed with SQUID-MEG. For resting-state recordings, the two modalities exhibit similar power distributions, functional connectomes, and microstate clusters. These findings indicate that the 80-sensor OPM-MEG system provides spatial and temporal characteristics comparable to those of traditional SQUID-MEG. Thus, our study offers empirical evidence supporting the efficacy of high-density OPM-MEG and suggests that OPM-MEG, with dense sampling capability, represents a compelling alternative to conventional SQUID-MEG, facilitating further exploration of human cognition.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121182"},"PeriodicalIF":4.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}