NeuroImage最新文献

{"title":"On the use of multi-echo NODDI MRI with released intrinsic diffusivity for the assessment of tissue diffusion and relaxation properties in experimental ischaemic stroke","authors":"Ezequiel Farrher ,&nbsp;Kuan-Hung Cho ,&nbsp;Chia-Wen Chiang ,&nbsp;Ming-Jye Chen ,&nbsp;Sheng-Min Huang ,&nbsp;Li-Wei Kuo ,&nbsp;Chang-Hoon Choi ,&nbsp;N. Jon Shah","doi":"10.1016/j.neuroimage.2025.121390","DOIUrl":"10.1016/j.neuroimage.2025.121390","url":null,"abstract":"<div><div>The multi-echo neurite orientation dispersion and density imaging (MTE-NODDI) model has been proposed to overcome one of the shortcomings of conventional NODDI, namely the echo time (TE) dependence of the compartmental signal fractions, which stems from the intrinsic differences in the compartmental transverse relaxation times (T2). However, the model continues to be constrained by the limitation of having a fixed, brain-wide intrinsic diffusivity, <em>d</em>.</div><div>The primary aim of this work is to assess the benefits and shortcomings of using MTE-NODDI to investigate the diffusion and T2 properties of ischaemic stroke tissue following middle cerebral artery occlusion (MCAo) in rat models. Given the known alterations in the diffusion properties in ischaemic tissue, a secondary aim is to assess an estimation approach for MTE-NODDI parameters that enables <em>d</em> to be released while also mitigating the consequent model degeneracy. Using the MTE-NODDI parameters, the spatiotemporal evolution of diffusion and T2 properties in ischaemic tissue was characterised from day one to day 23 post-MCAo. The proposed approach enables access to several unique tissue features that would otherwise be obscured by the conventional approach. Importantly, a marked reduction in <em>d</em> was observed, leading to significant changes in other MTE-NODDI parameters compared to the model employing a fixed <em>d</em>. The isotropic signal fraction displayed a significant increase in ischemic tissue, which appears in contradiction with previous works. Regarding the intra- and extra-neurite T2 values, <span><math><msub><mi>T</mi><mrow><mn>2</mn><mo>,</mo><mtext>in</mtext></mrow></msub></math></span> and <span><math><msub><mi>T</mi><mrow><mn>2</mn><mo>,</mo><mtext>en</mtext></mrow></msub></math></span>, a significant increment was observed at the ischaemic tissue, while the condition <span><math><mrow><msub><mi>T</mi><mrow><mn>2</mn><mo>,</mo><mtext>in</mtext></mrow></msub><mo>≥</mo><msub><mi>T</mi><mrow><mn>2</mn><mo>,</mo><mtext>en</mtext></mrow></msub></mrow></math></span> displayed a tendency to hold in both tissue types. More generally, some parameters, such as the isotropic signal fraction, the intrinsic diffusivity and both compartmental T2 values, display unique, heterogeneous spatiotemporal evolution, where the core and border zones of the ischaemic tissue show different behaviours. Overall, the newly estimated parameters show greater consistency with analogous estimates reported by published models, and are anticipated to significantly enhance the understanding of tissue properties following ischaemic stroke.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121390"},"PeriodicalIF":4.5,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718237","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":"Field strength dependence reveals multiple sources of relaxation anisotropy in single and crossing white matter fibers","authors":"Melanie Bauer ,&nbsp;Christian Kremser ,&nbsp;Elke R. Gizewski ,&nbsp;Claudia Lenz ,&nbsp;Christoph Birkl","doi":"10.1016/j.neuroimage.2025.121394","DOIUrl":"10.1016/j.neuroimage.2025.121394","url":null,"abstract":"<div><div>Quantitative magnetic resonance imaging (MRI) parameters depend on the orientation of white matter fibers relative to the main magnetic field. However, the impacts of fiber complexity and field strength remain unclear.</div><div>This study investigated the effects of fiber complexity and field strength on the orientation dependency of the irreversible transverse relaxation rate R₂, the effective transverse relaxation rate R₂* and the reversible transverse relaxation rate R₂’ (= R₂* - R₂) in the human brain. Nine healthy volunteers underwent MRI at 1.5 T and 3 T, allowing the assessment of orientation dependence in single and crossing fibers as well as the evaluation of field strength-dependent and -independent components.</div><div>All relaxation rates, except R₂ at 1.5 T, differed significantly between single and crossing fibers. R₂*, R₂’, and their anisotropies were significantly higher at 3 T compared to 1.5 T. Both field strength-dependent and -independent components showed orientation dependence, exhibiting higher values for fibers perpendicular to the field. Notably, the field strength-independent component of R₂* displayed a unique pattern, reaching a maximum at 45° and a minimum at 85°.</div><div>These findings suggest that both field strength-dependent and -independent components contribute to relaxation anisotropy in white matter, thereby indicating multiple sources of anisotropy. This study provides valuable insights into the complex relationship between white matter fiber orientation, field strength and quantitative MRI parameters, paving the way towards advanced understanding of white matter imaging.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121394"},"PeriodicalIF":4.5,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718236","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":"Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis","authors":"Tun Wiltgen ,&nbsp;Julian McGinnis ,&nbsp;Ronja Berg ,&nbsp;Cui Ci Voon ,&nbsp;Oula Puonti ,&nbsp;Katrin Giglhuber ,&nbsp;Carl Ganter ,&nbsp;Claus Zimmer ,&nbsp;Bernhard Hemmer ,&nbsp;Benedikt Wiestler ,&nbsp;Jan Kirschke ,&nbsp;Christine Preibisch ,&nbsp;Mark Mühlau","doi":"10.1016/j.neuroimage.2025.121395","DOIUrl":"10.1016/j.neuroimage.2025.121395","url":null,"abstract":"<div><div>Conventional T1-weighted (T1w) magnetic resonance imaging (MRI) is commonly used in multiple sclerosis (MS) morphometry and volumetry research. However, arbitrary intensity scales preclude interpretation of signal values across patients, sites, and time. This requires quantitative MRI techniques, which are not always available.</div><div>This study assessed T1w image intensity scaling methods, relying on extracerebral reference regions, for quantitative analysis of brain MRI in MS.</div><div>In total, 701 people with a diagnosis of radiologically isolated syndrome, clinically isolated syndrome, or MS were included. Four intensity scaling strategies were applied: 1) MRI signal modeling, 2) linear scaling with reference regions, 3) z-score standardization, and 4) none (only bias field correction). Methods were evaluated using variance analysis, R1 map comparison, and normal-appearing white matter (NAWM) intensity group comparison, using mean and coefficient of variation (CoV), between low (≤3) and high (&gt;3) expanded disability status scale (EDSS) scores. Statistical analysis was conducted using Pearson’s r, two-sided Welch two-sample <em>t</em>-test, ANCOVA, and Cohen’s d.</div><div>Linear scaling with temporal fatty tissue achieved the most consistent variance reduction and strong correlation with R1 maps (<em>r</em> = 0.84). R1 values in NAWM were significantly lower in people with high compared to low EDSS scores (<em>d</em> = -0.351). Similarly, group differences in mean NAWM intensity of fat-scaled images were significant (<em>d</em> = -0.252). The largest group differences were found in NAWM CoV in bias field-corrected T1w images (<em>d</em> = 0.818).</div><div>Linear scaling with fatty tissue most accurately reproduced the results obtained with R1 maps. Changes in MS NAWM appear to increase intensity variability detectable in conventional T1w images.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121395"},"PeriodicalIF":4.5,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718239","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":"Toward standardization: Assessing the reproducibility of radiomics features in partial volume-corrected brain PET images","authors":"Mohammad Saber Azimi ,&nbsp;Maryam Cheraghi ,&nbsp;Fatemeh MahdiMaleki ,&nbsp;Faezeh MahdiMaleki ,&nbsp;Amirhossein Sanaat ,&nbsp;Poul Flemming Høilund-Carlsen ,&nbsp;Abass Alavi ,&nbsp;Habib Zaidi","doi":"10.1016/j.neuroimage.2025.121398","DOIUrl":"10.1016/j.neuroimage.2025.121398","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to evaluate the reproducibility of radiomic features in brain positron emission tomography (PET) imaging across different brain regions and partial volume correction (PVC) methods, and to identify optimal feature classes and correction strategies for reliable clinical modeling.</div></div><div><h3>Methods</h3><div>This study analyzed 76 hybrid brain PET/MR images. Radiomic features were extracted from 21 anatomically segmented brain regions under seven conditions: uncorrected PET and six PVC techniques, including reblurred Van Cittert (RVC), Richardson–Lucy (RL), region-based voxel-wise (RBV), iterative Yang (IY), multi-target correction (MTC), and parallel level set (PLS) methods. A total of 93 features spanning six radiomics classes—First Order, Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), Gray Level Size Zone Matrix (GLSZM), Gray Level Dependence Matrix (GLDM), and Neighborhood Gray Tone Difference Matrix (NGTDM)—were extracted using the PyRadiomics library. Reproducibility was assessed using the intraclass correlation coefficient (ICC) and coefficient of variation (COV).</div></div><div><h3>Results</h3><div>RVC and RL showed the best reproducibility, with over 60% of features having COV &lt; 25% and ICC ≥ 0.75. In contrast, MTC and PLS resulted in the highest variability. GLCM and GLDM features were the most stable, while first order and NGTDM were the most variable. Regions, such as the cerebellum and lingual gyrus had the highest ICC values (≥ 0.9), whereas the fusiform gyrus and brainstem showed poor reproducibility (ICC &lt; 0.5).</div></div><div><h3>Conclusions</h3><div>Radiomics reproducibility in brain PET imaging is highly dependent on both the PVC method and anatomical region. RVC and RL are recommended for reliable quantitative analysis, particularly when used with robust feature classes, such as GLCM and GLDM. These findings emphasize the importance of methodological standardization and anatomically informed region-of-interest selection in radiomics research and clinical applications.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121398"},"PeriodicalIF":4.5,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718238","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":"The Role of Physical Exercise on Hippocampal Volume in Depressive Symptoms: A Systematic Review and Multi-level Meta-Analysis.","authors":"F Javelle, J Suhrkamp, L Wählen, L Donath, W Bloch","doi":"10.1016/j.neuroimage.2025.121386","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121386","url":null,"abstract":"<p><strong>Background: </strong>Hippocampal atrophy is a commonly observed structural impairment in depressive disorders. Conversely, physical exercise has demonstrated potential benefits for increasing hippocampal volume. Consequently, both animal and human studies have explored the effect of exercise on hippocampal volume in the context of depressive symptoms, although their findings have been inconsistent.</p><p><strong>Methods: </strong>This systematic review and meta-analysis aims to evaluate whether exercise mitigates hippocampal decline in animal and human depression models and identify optimal exercise parameters for this potential effect. We searched Web of Science, SportDiscus, PubMed (MEDLINE), PsycINFO, Google Scholar, and Cochrane up to April 8th, 2025. Separate multi-level meta-analyses for animal and human studies were performed.</p><p><strong>Results: </strong>Fourteen studies were included. In the animal model meta-analysis (k=5, 6 effects, 99 animals), a large significant average effect was observed (g=0.90, 95% CI 0.23 to 1.58, p=.013), with very large heterogeneity (PI=-0.78 to 2.59, I²_(2)+(3)=81%). Hippocampal subregions was a significant moderator (p = .048), with the CA4 / dentate gyrus and whole hippocampus showing the largest effect sizes. Changes in depressive symptoms (p = .316), exercise duration (p = .354), and training volume (p = .134) were also tested but did not reach statistical significance. The human model meta-analysis (k=9, 11 effects, 423 subjects) showed a very small and non-significant average effect (g=0.05, 95% CI -0.05 to 0.16, p=.312) with small heterogeneity (PI=-0.05 to 0.15, I²_(2)+(3)=0%). Because of heterogeneity limitations, no moderator analyses were conducted. GRADE quality of evidence was defined as moderate in both meta-analyses.</p><p><strong>Conclusions: </strong>Our systematic review and multi-level meta-analysis partially confirmed the positive effects of physical exercise on hippocampal volume in animal models with depressive symptoms, but not in humans. Further research is needed, including longer intervention durations, varied intensity settings, and strategies to maximise attendance rates.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121386"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708317","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":"Performance enhancement of steady-state visual evoked field-based brain–computer interfaces using spatial distribution of synchronization index in MEG channel space","authors":"Ye-Sung Kim ,&nbsp;Cheong-Un Kim ,&nbsp;Hyojeong Han ,&nbsp;Min-Young Kim ,&nbsp;Soo-In Choi ,&nbsp;Chang-Hwan Im","doi":"10.1016/j.neuroimage.2025.121391","DOIUrl":"10.1016/j.neuroimage.2025.121391","url":null,"abstract":"<div><div>The development of helmet-type magnetoencephalography (MEG) systems that do not require liquid helium (e.g., OPM-MEG) has sparked growing interest in steady-state visual evoked field (SSVEF)-based brain–computer interfaces (BCIs). Unlike electroencephalography (EEG), MEG records less distorted signals with a high spatial resolution, covering the entire head without requiring cumbersome electrode attachment. However, conventional algorithms, such as the filter bank-driven multivariate synchronization index (FBMSI), are prone to misclassification in ambiguous cases where the differences between synchronization indices (S indices) are minimal. Additionally, these algorithms fail to fully exploit high spatial resolution and whole-head coverage of MEG. To address these limitations, this study proposes a novel, calibration-free SSVEF classification algorithm termed Spatial Distribution Analysis (SDA). The SDA algorithm utilizes the center of gravity of the S index distribution in the MEG channel space to enhance classification accuracy. Experimental evaluations with 20 participants using a helmet-type SQUID MEG system demonstrated that the proposed SDA algorithm achieved significantly higher classification accuracy and information transfer rate (ITR) across all window sizes. Notably, the largest improvements of 5.76 % in accuracy and 4.87 bits/min in ITR were reported for a window size of 2.5 s. Furthermore, the generalizability of the SDA algorithm was validated on an OPM-MEG dataset, showing performance improvements across all window sizes. The SDA algorithm also mitigated misclassification due to adjacent stimuli and showed short time delay of 0.0907 s, enough to be used for real-time BCIs. These findings highlight the potential of SDA algorithm to enhance the overall performance of SSVEF-based BCI.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121391"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708306","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":"How spontaneous brain activity encodes the observation of grasping movements","authors":"Cristina Perciballi ,&nbsp;Lorenzo Pini ,&nbsp;Daniele Sili ,&nbsp;Yara El Rassi ,&nbsp;Lu Zhang ,&nbsp;Giacomo Handjaras ,&nbsp;Federico Giove ,&nbsp;Emiliano Ricciardi ,&nbsp;Maurizio Corbetta ,&nbsp;Viviana Betti","doi":"10.1016/j.neuroimage.2025.121396","DOIUrl":"10.1016/j.neuroimage.2025.121396","url":null,"abstract":"<div><div>Spontaneous brain activity forms correlated networks resembling task-evoked activation patterns, yet its functional relevance remains debated. The representational hypothesis suggests that resting-state networks (RSNs) encode frequent behaviors, but whether these representations are motor-based or cognitive is unclear. Here, we used fMRI to examine RSNs activity during the observation of reach-to-grasp movements with either regular (common) or perturbed (uncommon) kinematics. We found that the dorsal attention network (DAN) exhibited greater similarity between rest and task patterns for common movements, whereas sensory networks showed no significant effects. While DAN is classically associated with attention mechanisms, these results suggest that it may also contribute to tracking the location or motion of the hand. Furthermore, uncommon movements elicited stronger activation in parietal and premotor areas, likely reflecting adaptive updating of internal models. Our findings support the role of spontaneous brain activity in maintaining cognitive representations of frequent behaviors, optimizing motor planning and perception.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121396"},"PeriodicalIF":4.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708303","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":"Individual differences in neurophysiological correlates of post-response adaptation: A model-based approach.","authors":"Anna Grabowska, Filip Sondej, Julia Haaf, Michael D Nunez, Magdalena Senderecka","doi":"10.1016/j.neuroimage.2025.121349","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121349","url":null,"abstract":"<p><p>The cognitive control system continuously monitors actions and adapts to enhance task performance and prevent errors. More pronounced amplitudes of early neurophysiological response monitoring signals, such as error-related negativity (ERN) and correct-related negativity (CRN), have been linked to increased response caution and heightened attention to task-relevant features in subsequent trials. However, it remains unclear whether these population-level effects accurately capture adaptive processes at the individual level. This information is crucial for assessing the generalizability of findings, as effects significant at the population level may be driven by only a small subset of participants. Using Bayesian hierarchical drift diffusion modeling on behavioral and EEG data from four datasets, we found robust population-level associations between ERN amplitude and adaptive behaviors but also identified substantial individual variability. The relationship between ERN amplitude and response caution was highly context-dependent, varying across individuals, datasets, and conditions. In contrast, the association between ERN amplitude and attentional focus was more consistent, though influenced by traits related to negative affect. Our results emphasize the importance of considering individual differences to better understand the neural mechanisms underlying adaptive behavior.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121349"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708304","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":"Developmental trajectory of neural activity underlying motor control differs by sequence complexity and motor stage","authors":"Thomas W. Ward ,&nbsp;Jackson Derby ,&nbsp;Jake J. Son ,&nbsp;Peihan J. Huang ,&nbsp;Danielle L. Rice ,&nbsp;Grace C. Ende ,&nbsp;Anna T. Coutant ,&nbsp;Erica L. Steiner ,&nbsp;Vince D. Calhoun ,&nbsp;Yu-Ping Wang ,&nbsp;Julia M. Stephen ,&nbsp;Elizabeth Heinrichs-Graham ,&nbsp;Tony W. Wilson","doi":"10.1016/j.neuroimage.2025.121389","DOIUrl":"10.1016/j.neuroimage.2025.121389","url":null,"abstract":"<div><div>Primary motor areas in the brain mature relatively early in development, yet the control of complex movements improves through early adulthood. Neural oscillations in higher-order regions are refined in adolescence and contribute to executive processes important for complex motor control, but the neural dynamics among these regions and primary motor cortices remain poorly understood in youth. We recorded magnetoencephalography during a motor sequencing task in 68 healthy youth from ten to 17 years of age. Significant changes in oscillatory activity relative to baseline were identified at the sensor level and source reconstructed with a beamformer. Whole-brain maps of beta (18–24 Hz) and gamma (74–84 Hz) oscillatory activity were subjected to voxel-wise repeated-measures ANCOVAs to identify brain areas in which the developmental trajectory of oscillatory power differed by sequence complexity (simple/complex) or motor stage (planning/execution). Beta activity in bilateral prefrontal cortices was weaker with age during the planning of complex movements. Across simple and complex conditions, older youth tended to have stronger beta in posterior areas during planning. Finally, gamma activity across conditions was stronger with age in occipital and weaker in temporal cortices. These results suggest that the functional refinement of association cortices may drive improvements in motor control by enabling more efficient attentional and inhibitory control during formulation of the motor plan.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121389"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708302","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":"Oscillatory and evoked neural responses underlying gating in the primary somatosensory cortices: Evidence from optically-pumped magnetometry","authors":"Yasra Arif ,&nbsp;Elizabeth Heinrichs-Graham ,&nbsp;Alexa M. Wildy ,&nbsp;Thomas W. Ward ,&nbsp;Augusto Diedrich ,&nbsp;Christine M. Embury ,&nbsp;Maggie P. Rempe ,&nbsp;Ryan J. Glesinger ,&nbsp;Zhiying Shen ,&nbsp;Kellen M. McDonald ,&nbsp;Peihan J. Huang ,&nbsp;Seth Bashford ,&nbsp;Brittany K. Taylor ,&nbsp;Max J. Kurz ,&nbsp;Tony W. Wilson","doi":"10.1016/j.neuroimage.2025.121393","DOIUrl":"10.1016/j.neuroimage.2025.121393","url":null,"abstract":"<div><div>Sensory gating (SG) is a protective mechanism that prevents sensory overload by attenuating neural responses to repeated stimuli while allowing allocation of neural resources to salient inputs. While studies using conventional, cryogenic magnetoencephalography (MEG) have provided a foundational understanding of the neurophysiological spectro-temporal profile of sensory gating in somatosensory cortices, its utility in diverse populations is constrained by technical limitations, including movement restriction and a one-size-fits-all helmet design. Recent developments in optically pumped magnetometry (OPM) aim to overcome these constraints by providing greater tolerance to movement and customizable helmet sizes. A small number of studies have documented the reliability of OPM in mapping somatosensory responses to median nerve stimulation using OPM; however, none have examined SG. In this study, we utilized a whole-head 128-channel OPM system and a paired-pulse median nerve stimulation paradigm to examine somato-SG and map the precise spectro-temporal cortical dynamics in a group of 31 healthy adults. Neural responses per stimulation were imaged in both the time-frequency and time domains, and voxel time series data were extracted to quantify the dynamics of somato-SG. Robust gating effects were observed in the peak and average neural responses within the primary somatosensory cortices, in both the oscillatory and time domains. These findings underscore OPM’s ability to precisely resolve the spatiotemporal neural dynamics of somato-SG and stress the utility of OPM in examining somatosensory processes across developmental trajectories extending down to infants, as well as in clinical populations.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121393"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144708305","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}