NeuroImage最新文献

{"title":"Resting state brain network segregation is associated with walking speed and working memory in older adults","authors":"Sumire D. Sato ,&nbsp;Valay A. Shah ,&nbsp;Tyler Fettrow ,&nbsp;Kristina G. Hall ,&nbsp;Grant D. Tays ,&nbsp;Erta Cenko ,&nbsp;Arkaprava Roy ,&nbsp;David J. Clark ,&nbsp;Daniel P. Ferris ,&nbsp;Chris J. Hass ,&nbsp;Todd M. Manini ,&nbsp;Rachael D. Seidler","doi":"10.1016/j.neuroimage.2025.121155","DOIUrl":"10.1016/j.neuroimage.2025.121155","url":null,"abstract":"<div><div>Older adults exhibit larger individual differences in walking ability and cognitive function than young adults. Characterizing intrinsic brain connectivity differences in older adults across a wide walking performance spectrum may provide insight into the mechanisms of functional decline in some older adults and resilience in others. Thus, the objectives of this study were to: (1) determine whether young adults and high- and low-functioning older adults show group differences in brain network segregation, and (2) determine whether network segregation is associated with working memory and walking function in these groups. The analysis included 21 young adults and 81 older adults. Older adults were further categorized according to their physical function using a standardized assessment; 54 older adults had low physical function while 27 were considered high functioning. Structural and functional resting state magnetic resonance images were collected using a Siemens Prisma 3T scanner. Working memory was assessed with the NIH Toolbox list sorting test. Walking speed was assessed with a 400 m walk test at participants’ self-selected speed. We found that network segregation in mobility-related networks (sensorimotor, vestibular) was higher in older adults with higher physical function compared to older adults with lower physical function. There were no group differences in laterality effects on network segregation. We found multivariate associations between working memory and walking speed with network segregation scores. The interaction of left sensorimotor network segregation and age groups was associated with higher working memory function. Higher left sensorimotor, left vestibular, right anterior cingulate cortex, and interaction of left anterior cingulate cortex network segregation and age groups were associated with faster walking speed. These results are unique and significant because they demonstrate higher network segregation is largely related to higher physical function and not age alone.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121155"},"PeriodicalIF":4.7,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657961","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":"White matter microstructure links with brain, bodily and genetic attributes in adolescence, mid- and late life","authors":"Max Korbmacher ,&nbsp;Mario Tranfa ,&nbsp;Giuseppe Pontillo ,&nbsp;Dennis van der Meer ,&nbsp;Meng-Yun Wang ,&nbsp;Ole A. Andreassen ,&nbsp;Lars T. Westlye ,&nbsp;Ivan I. Maximov","doi":"10.1016/j.neuroimage.2025.121132","DOIUrl":"10.1016/j.neuroimage.2025.121132","url":null,"abstract":"<div><div>Advanced diffusion magnetic resonance imaging (dMRI) allows one to probe and assess brain white matter (WM) organisation and microstructure in vivo. Various dMRI models with different theoretical and practical assumptions have been developed, representing partly overlapping characteristics of the underlying brain biology with potentially complementary value in the cognitive and clinical neurosciences. To which degree the different dMRI metrics relate to clinically relevant geno- and phenotypes is still debated. Hence, we investigate how tract-based and whole WM skeleton parameters from different dMRI approaches associate with clinically relevant and white matter-related phenotypes (sex, age, pulse pressure (PP), body-mass-index (BMI), brain asymmetry) and genetic markers in the UK Biobank (UKB, n=52,140) and the Adolescent Brain Cognitive Development (ABCD) Study (n=5,844). In general, none of the imaging approaches could explain all examined phenotypes, though the approaches were overall similar in explaining variability of the examined phenotypes. Nevertheless, particular diffusion parameters of the used dMRI approaches stood out in explaining some important phenotypes known to correlate with general human health outcomes. A multi-compartment Bayesian dMRI approach provided the strongest WM associations with age, and together with diffusion tensor imaging, the largest accuracy for sex-classifications. We find a similar pattern of metric and tract-dependent asymmetries across datasets, with stronger asymmetries in ABCD data. The magnitude of WM associations with polygenic scores as well as PP depended more on the sample, and likely age, than dMRI metrics. However, kurtosis was most indicative of BMI and potentially of bipolar disorder polygenic scores. We conclude that WM microstructure is differentially associated with clinically relevant pheno- and genotypes at different points in life.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121132"},"PeriodicalIF":4.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637316","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":"The power of pain: The temporal-spatial dynamics of empathy induced by body gestures and facial expressions","authors":"Xin Wang ,&nbsp;Benjamin Becker ,&nbsp;Shelley Xiuli Tong","doi":"10.1016/j.neuroimage.2025.121148","DOIUrl":"10.1016/j.neuroimage.2025.121148","url":null,"abstract":"<div><div>Two non-verbal pain representations, body gestures and facial expressions, can communicate pain to others and elicit our own empathic responses. However, the specific impact of these representations on neural responses of empathy, particularly in terms of temporal and spatial neural mechanisms, remains unclear. To address this issue, the present study developed a kinetic pain empathy paradigm comprising short animated videos depicting a protagonist's “real life” pain and no-pain experiences through body gestures and facial expressions. Electroencephalographic (EEG) recordings were conducted on 52 neurotypical adults; while they viewed the animations. Results from multivariate pattern, event-related potential, event-related spectrum perturbation, and source localization analyses revealed that pain expressed through facial expressions, but not body gestures, elicited increased N200 and P200 responses and activated various brain regions, i.e., the anterior cingulate cortex, insula, thalamus, ventromedial prefrontal cortex, temporal gyrus, cerebellum, and right supramarginal gyrus. Enhanced theta power with distinct spatial distributions were observed during early affective arousal and late cognitive reappraisal stages of the pain event. Multiple regression analyses showed a negative correlation between the N200 amplitude and pain catastrophizing, and a positive correlation between the P200 amplitude and autism traits. These findings demonstrate the temporal evolution of empathy evoked by dynamic pain display, highlighting the significant impact of facial expression and its association with individuals’ unique psychological traits.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121148"},"PeriodicalIF":4.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648195","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":"Diffusion tensor imaging after COVID-19 infection: A systematic review","authors":"Breanna K. Nelson ,&nbsp;Lea N. Farah ,&nbsp;Sidney A. Saint ,&nbsp;Catie Song ,&nbsp;Thalia S. Field ,&nbsp;Vesna Sossi ,&nbsp;A. Jon Stoessl ,&nbsp;Cheryl Wellington ,&nbsp;William G. Honer ,&nbsp;Donna Lang ,&nbsp;Noah D. Silverberg ,&nbsp;William J. Panenka","doi":"10.1016/j.neuroimage.2025.121150","DOIUrl":"10.1016/j.neuroimage.2025.121150","url":null,"abstract":"<div><h3>Background</h3><div>Most COVID-19 neuroimaging research focuses on clinically evident lesions occurring during the acute period after infection. Chronic effects on brain structure, especially at a microstructural level, are less well defined. Existing advanced neuroimaging studies report inconsistent differences in white matter integrity after COVID-19 infection. Our aim was to systematically evaluate the advanced neuroimaging literature with a specific focus on examining diffusion MRI (dMRI) abnormalities observable after the resolution of the acute phase of COVID-19 illness.</div></div><div><h3>Methods</h3><div>A search of the literature was conducted on PubMed, Embase, and Scopus on May 27th, 2023, and an updated search was performed September 20th, 2024. Inclusion criteria were a quantitative comparison of dMRI metrics between COVID-19 patients and non-COVID-19 volunteers with MRI acquired &gt;6 weeks after COVID-19. Studies that included only subgroups of COVID-19 patients with specific symptoms, case reports, and post-mortem studies were excluded. Forwards and backwards citation chasing were performed.</div></div><div><h3>Results</h3><div>The initial search identified 1709 unique records, and 11 met inclusion criteria. Most studies included hospitalized COVID-19 patients, with brain MRI acquired between 2 and 6 months after COVID-19 infection. The majority of studies reported lower fractional anisotropy and higher mean diffusivity in the post-COVID-19 cohort, compared to non-COVID-19 controls. However, there were inconsistent findings, with one study reporting higher fractional anisotropy after COVID-19 infection. Cohorts with a more severe acute COVID-19 illness tended to have lower fractional anisotropy and higher mean diffusivity than cohorts with a milder illness course. Compared to shorter follow-up periods, a longer time between COVID-19 and MRI was associated with fewer differences between COVID-19 patients and non-COVID-19 volunteers.</div></div><div><h3>Conclusion</h3><div>A review of the literature indicates that the heterogeneity of findings regarding dMRI metrics after the resolution of the acute phase of COVID-19 illness may be due in part to the severity of COVID-19 illness and the time between COVID-19 and MRI. Future studies should also consider how different SARS-CoV-2 variants differentially affect the structural brain differences after COVID-19.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121150"},"PeriodicalIF":4.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648192","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":"Standardized low-resolution brain electromagnetic tomography does not improve EEG Alzheimer's disease assessment","authors":"Wolfgang Frühw ,&nbsp;Martin Mairhofer ,&nbsp;Andreas Hahn ,&nbsp;Heinrich Garn ,&nbsp;Markus Waser ,&nbsp;Reinhold Schmidt ,&nbsp;Thomas Benke ,&nbsp;Peter Dal-Bianco ,&nbsp;Gerhard Ransmayr ,&nbsp;Dieter Grossegger ,&nbsp;Stephen Roberts ,&nbsp;Georg Dorffner","doi":"10.1016/j.neuroimage.2025.121144","DOIUrl":"10.1016/j.neuroimage.2025.121144","url":null,"abstract":"<div><div>Quantitative EEG has been shown to reflect neurodegenerative processes in Alzheimer's disease (AD) and may provide non-invasive and widely available biomarkers to enhance the objectivization of disease assessment. To address EEG's major drawback – its low spatial resolution – many studies have employed 3D source localization. However, none have investigated whether this complex mapping into 3D space actually adds value over standard surface derivation. In fact, we found no prior study – in any disease – that quantitatively compared the results of a 3D source localization method with those achieved by surface derivation. We analyzed data from one of the largest prospective AD EEG studies ever conducted (four study centers, 188 patients, 100 female). Thousands of distinct quantitative EEG markers of slowing, complexity, and functional connectivity were computed and regressed against disease severity, with rigorous control for multiple testing. We found highly significant associations between quantitative EEG markers and disease severity. However, standardized low-resolution electromagnetic tomography (sLORETA), a widely used 3D source localization method, did not improve results. Furthermore, a surface derivation marker (auto-mutual information of the left hemisphere during the eyes-closed condition) was the best performing marker across our entire sample. While our findings strongly support that quantitative EEG markers reflect neurodegenerative processes in AD, they do not demonstrate additional benefit from sLORETA. Importantly, our results are specific to AD and sLORETA. Therefore, they should not be generalized to other neurological or psychiatric disorders or to other 3D source localization methods without further validation. Finally, these findings do not diminish the value of 3D source localization for visual EEG inspection.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121144"},"PeriodicalIF":4.7,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639498","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":"Quantitative brain volume differences between COVID-19 patients and non-COVID-19 volunteers: A systematic review","authors":"Breanna K. Nelson ,&nbsp;Lea N. Farah ,&nbsp;Sidney A. Saint ,&nbsp;Catie Song ,&nbsp;Thalia S. Field ,&nbsp;Vesna Sossi ,&nbsp;A. Jon Stoessl ,&nbsp;Cheryl Wellington ,&nbsp;William G. Honer ,&nbsp;Donna Lang ,&nbsp;Noah D. Silverberg ,&nbsp;William J. Panenka","doi":"10.1016/j.neuroimage.2025.121146","DOIUrl":"10.1016/j.neuroimage.2025.121146","url":null,"abstract":"<div><h3>Background</h3><div>The majority of COVID-19 neuroimaging literature focuses on the acute period after infection and clinically evident lesions. The chronic effects of COVID-19 on brain structure are less well defined. There are inconsistencies in the existing structural neuroimaging studies regarding differences in brain volumes after COVID-19 infection. It was thus our aim to systematically evaluate the structural neuroimaging literature focusing on volumetric differences between patients with COVID-19, and volunteers without COVID-19, at greater than 6 weeks post-infection.</div></div><div><h3>Methods</h3><div>PubMed, Embase, and Scopus were searched in May 2023 with an updated search in September 2024, for studies with a quantitative comparison of brain volumes between COVID-19 patients and non-COVID-19 volunteers with MRI acquired more than 6-weeks after COVID-19. Exclusion criteria included COVID-19 patients selected for the presence of specific symptoms, case reports and case studies, and post-mortem studies. Forwards and backwards citation chasing were performed.</div></div><div><h3>Results</h3><div>Sixteen studies met inclusion criteria. The majority of studies reported smaller grey matter volumes amongst COVID-19 patients compared to healthy volunteers. However, there were inconsistent findings, with 3 studies reporting larger grey matter volumes in the COVID-19 groups. Additionally, studies with COVID-19 cohorts with more severe presentations, characterized by admission to the hospital or the ICU, were more likely to report smaller grey matter volumes compared to healthy volunteers, than studies that were focused on patients who recovered at home.</div></div><div><h3>Conclusion</h3><div>A systematic review of the literature indicates that COVID-19 illness severity may explain some of the heterogeneity in brain volume differences between COVID-19 patients and healthy volunteers. More longitudinal follow-up studies are needed to assess the longitudinal course of COVID-19′s effects on brain volumes.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121146"},"PeriodicalIF":4.7,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639519","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":"Boosting forward connectivity between primary visual and body selective cortex reduces interference between sex and emotion judgements of bodies","authors":"Marco Gandolfo ,&nbsp;Giulia D'Argenio ,&nbsp;Paul E. Downing ,&nbsp;Cosimo Urgesi","doi":"10.1016/j.neuroimage.2025.121102","DOIUrl":"10.1016/j.neuroimage.2025.121102","url":null,"abstract":"<div><div>We effortlessly categorise other people along socially relevant categories such as sex, age, and emotion. A core question in social vision relates to whether we perceive these categories independently or in relation to each other. Here, we investigated categorisation of sex and emotion from the body, finding that participants generally fail to fully ignore task-irrelevant variations of sex while judging body emotional expressions. In contrast, sex categorisation was unaffected by variations in emotional expression. This asymmetric interaction between sex and emotion may arise because of bottom-up visual processing, due to partially shared visual features used for both judgments, or because of top-down, categorical associations between sex and emotion categories. To disentangle these possibilities, we used cortico-cortical paired associative stimulation (ccPAS) to modulate the connectivity between primary visual cortex and the extrastriate body area. We posited that boosting forward connectivity between these regions would increase efficiency of feature-based processing, while boosting feedback connectivity would enhance the separability of semantic categories related to sex and emotion. We found that boosting forward connectivity eliminated the interference of sex on emotion judgments, while that interference remained unaffected with modulation of feedback connectivity. These findings suggest that interactions between sex and emotion in body perception emerge during the perceptual analysis of the stimuli, and add to our understanding of person perception and social categorization.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601377","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":"Longitudinal changes of blood-brain barrier and transcytolemmal water exchange permeability in Alzheimer's disease mice: A non-contrast MRI study","authors":"Chuhan Xiong ,&nbsp;Ziyang Yu ,&nbsp;Yu Yin ,&nbsp;Qinfeng Zhu ,&nbsp;Ruicheng Ba ,&nbsp;Yao Shen ,&nbsp;Haotian Li ,&nbsp;Zhiliang Wei ,&nbsp;Zixuan Lin ,&nbsp;Dan Wu","doi":"10.1016/j.neuroimage.2025.121141","DOIUrl":"10.1016/j.neuroimage.2025.121141","url":null,"abstract":"<div><div>Growing evidence suggests that Alzheimer's disease (AD) has been linked with the dysfunction of glymphatic system. Previous studies were primarily cross-sectional and focused on only one specific component, hindering the understanding of overall glymphatic function in AD. We evaluated the longitudinal changes in multiple components of glymphatic system (blood-brain barrier (BBB) and transcytolemmal water exchange (TWE) permeability) in AD mice. Five female wild-type and four 3 × Tg-AD mice from 5 to 13 months of age were scanned monthly using two non-contrast MRI techniques, water-extraction-with-phase-contrast-arterial-spin-tagging (WEPCAST) and diffusion-time-dependent kurtosis imaging (<em>t</em>DKI), yielding BBB and TWE permeability. Immunostaining was used to evaluate tight junction proteins associated with BBB structural integrity, aquaporin 4 (AQP4) related to TWE, and AQP4 perivascular space (PVS) polarization that might represent PVS-parenchyma water exchange. The relationship between glymphatic function and AD pathology, as measured by amyloid beta (Aβ) and tau deposition, was also explored. Our results revealed significantly increased BBB and hippocampal TWE permeability in AD mouse brains, consistent with the histological findings of reduced tight junction proteins and upregulated AQP4, which were correlated with each other and can be predictive of Aβ and tau deposition. Impaired AQP4 PVS polarization was also found in AD mice. In conclusion, water exchange in multiple components of glymphatic system altered in AD mice, and these <em>in vivo</em> MRI findings were validated pathologically, which might affect the waste clearance in the glymphatic neurofluid.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121141"},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634169","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":"Glymphatic dysfunction in moyamoya disease: The influence of arterial stenosis and ventricular enlargement","authors":"Duo Xu ,&nbsp;Linglin Yang ,&nbsp;Biao Jiang ,&nbsp;Xinfeng Yu","doi":"10.1016/j.neuroimage.2025.121143","DOIUrl":"10.1016/j.neuroimage.2025.121143","url":null,"abstract":"<div><div>The glymphatic system is a vascular-dependent network, involving cerebrospinal fluid circulation, that facilitates waste clearance from the brain. Although glymphatic dysfunction has been implicated in various neurologic diseases, its influencing factors are still not fully understood. We aimed to evaluate glymphatic clearance in moyamoya disease (MMD) and explore its associations with arterial stenosis and ventricular size. Patients with MMD and healthy controls were prospectively recruited to undergo multi-modal MRI scans. Patients were divided into three subgroups based on initial symptoms: hemorrhagic, ischemic, and other. We used diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, magnetic resonance angiography, 3D T1-weighted images to evaluate glymphatic clearance, arterial stenosis and ventricular size. The relationships between arterial stenosis, ventricular size, and ALPS index were analyzed using multivariable linear regression analyses. Compared to controls (<em>n</em> = 39), patients (<em>n</em> = 55) exhibited reduced ALPS index (<em>p</em> &lt; 0.001) and increased volumes of the lateral ventricles (<em>p</em> &lt; 0.001), third ventricle (<em>p</em> &lt; 0.001) and fourth ventricle (<em>p</em> = 0.013). In MMD, arterial stenosis (standardized β=-0.283, <em>p</em> = 0.013), lateral ventricular volume (standardized β=-0.504, <em>p</em> &lt; 0.001), and their interaction (standardized β=-0.606, <em>p</em> &lt; 0.001) were all significantly associated with the ALPS index in multivariable analysis. Among the three subgroups, hemorrhagic subgroup had the lowest ALPS index (<em>p</em> = 0.085) and the largest lateral ventricular volume (<em>p</em> = 0.013). Our findings demonstrated that enlarged lateral ventricles were associated with decreased ALPS index, both alone and synergistically with arterial stenosis, and the reduced ALPS index and ventricular enlargement would be exacerbated in hemorrhagic MMD. This evidence provides new insights into the mechanisms underlying glymphatic impairment in MMD.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121143"},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634162","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":"Context influence on speech perception: evidence for acoustic-level mechanism across the voice onset time continuum","authors":"Shun Liu ,&nbsp;Xiqin Liu","doi":"10.1016/j.neuroimage.2025.121140","DOIUrl":"10.1016/j.neuroimage.2025.121140","url":null,"abstract":"<div><div>Contextual information plays a significant role in shaping our perception of speech, yet it remains uncertain at which level of processing such information integrates with acoustic cues. A key area of debate is whether top-down information influences acoustic encoding within the lower levels of the speech-processing hierarchy. This study employed a machine learning algorithm to decode the voice onset time (VOT) of speech and investigated how the gender of the speaker of a precursor sentence impacted subsequent speech perception. Using EEG recordings, we examined neural responses to a VOT continuum following male and female voices. Our results reveal that a linear representation of the VOT continuum emerged at an early EEG time window and that gender-based contextual cues modulated speech perception at this stage. Notably, since context information was not involved in the decoding procedure itself, we conclude that this modulation reflected the true effects of context on the perception of VOT. Moreover, the contextual influence extended across the entire VOT continuum, not just at specific sounds, suggesting a broad and consistent modulation of speech perception by gender-based context. These findings support the idea of a general acoustic-level mechanism through which contextual information influences the early stage of speech processing, contributing to ongoing debates about the interaction between top-down and bottom-up processes in speech perception.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121140"},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629287","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}