NeuroImage最新文献

{"title":"Impaired neural encoding of naturalistic audiovisual speech in autism","authors":"Theo Vanneau , Michael J. Crosse , John J. Foxe , Sophie Molholm","doi":"10.1016/j.neuroimage.2025.121397","DOIUrl":"10.1016/j.neuroimage.2025.121397","url":null,"abstract":"<div><div>Visual cues from a speaker’s face can significantly improve speech comprehension in noisy environments through multisensory integration (MSI)—the process by which the brain combines auditory and visual inputs. Individuals with Autism Spectrum Disorder (ASD), however, often show atypical MSI, particularly during speech processing, which may contribute to the social communication difficulties central to the diagnosis. Understanding the neural basis of impaired MSI in ASD, especially during naturalistic speech, is critical for developing targeted interventions. Most neurophysiological studies have relied on simplified speech stimuli (e.g., isolated syllables or words), limiting their ecological validity. In this study, we used high-density EEG and linear encoding and decoding models to assess the neural processing of continuous audiovisual speech in adolescents and young adults with ASD (<em>N</em> = 23) and age-matched typically developing controls (<em>N</em> = 19). Participants watched and listened to naturalistic speech under auditory-only, visual-only, and audiovisual conditions, with varying levels of background noise, and were tasked with detecting a target word. Linear models were used to quantify cortical tracking of the speech envelope and phonetic features. In the audiovisual condition, the ASD group showed reduced behavioral performance and weaker neural tracking of both acoustic and phonetic features, relative to controls. In contrast, in the auditory-only condition, increasing background noise reduced behavioral and model performance similarly across groups. These results provide, for the first time, converging behavioral and neurophysiological evidence of impaired multisensory enhancement for continuous, natural speech in ASD.</div></div><div><h3>Significance Statement</h3><div>In adverse hearing conditions, seeing a speaker's face and their facial movements enhances speech comprehension through a process called multisensory integration, where the brain combines visual and auditory inputs to facilitate perception and communication. However, individuals with Autism Spectrum Disorder (ASD) often struggle with this process, particularly during speech comprehension. Previous findings using simple, discrete stimuli do not fully explain how the processing of continuous natural multisensory speech is affected in ASD. In our study, we used natural, continuous speech stimuli to compare the neural processing of various speech features in individuals with ASD and typically developing (TD) controls, across auditory and audiovisual conditions with varying levels of background noise. Our findings showed no group differences in the encoding of auditory-alone speech, with both groups similarly affected by increasing levels of noise. However, for audiovisual speech, individuals with ASD displayed reduced neural encoding of both the acoustic envelope and the phonetic features, marking neural processing impairment of continuous audiovisual mul","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121397"},"PeriodicalIF":4.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724011","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":"Somatosensory coding of visual self-identity","authors":"Mattia Galigani ,&nbsp;Marcella Romeo ,&nbsp;Nicoletta Scanferlato ,&nbsp;Massimiliano Valeriani ,&nbsp;Bettina Forster ,&nbsp;Francesca Garbarini","doi":"10.1016/j.neuroimage.2025.121405","DOIUrl":"10.1016/j.neuroimage.2025.121405","url":null,"abstract":"<div><div>How does the brain process our bodily identity? This question has long fascinated scientists because of its potential implications for the study of self-awareness. Here, to test the idea that the somatosensory system is directly involved in coding bodily self-identity even when conveyed through vision, we probed the somatosensory system with tactile stimuli while participants observed hand images, either belonging to them (self-hand) or to another person (other-hand). In three psychophysical experiments (discovery, replicating and control samples), we found faster reaction times to tactile stimuli when paired with the self- than the other-hand image. To explore the neural basis of this effect, we conducted two electrophysiological experiments (discovery and replicating samples), and we observed that visual activity did not vary as a function of bodily identity, whereas the activity of the primary (at around 40 ms) and secondary (from 100 ms) somatosensory cortices did vary, as revealed by significantly higher somatosensory responses to tactile probes when presenting the self- than the other-hand image. We propose that this somatosensory coding of visual self-identity may be the result of associative learning mechanisms, through which individuals learn that the association between visual and somatosensory input only pertains to the own body, thus representing a possible prerequisite for establishing self-awareness.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121405"},"PeriodicalIF":4.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760617","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":"Dual-montage high-definition transcranial direct current stimulation (HD-tDCS) modulates the neural dynamics serving working memory","authors":"Peihan J. Huang ,&nbsp;Yasra Arif ,&nbsp;Jake J. Son ,&nbsp;Jason A. John ,&nbsp;Maggie P. Rempe ,&nbsp;Kellen M. McDonald ,&nbsp;Lauren K. Webert ,&nbsp;Grant M. Garrison ,&nbsp;Hannah J. Okelberry ,&nbsp;Kennedy A. Kress ,&nbsp;Nathan M. Petro ,&nbsp;Tony W. Wilson","doi":"10.1016/j.neuroimage.2025.121407","DOIUrl":"10.1016/j.neuroimage.2025.121407","url":null,"abstract":"<div><div>Verbal working memory (WM) is a critical cognitive construct supporting a broad range of daily functions. Neuroimaging studies have highlighted the involvement of prefrontal-occipital circuitry in WM, but specific regional contributions and possible laterality effects remain unclear. Transcranial direct current stimulation (tDCS) is an emerging technique that noninvasively modulates the excitability of neural populations, with studies showing stimulation effects on both local and distant but connected cortices. Herein, we utilized a novel dual-montage, high-definition tDCS (HD-tDCS) approach to evaluate the impact on functional brain dynamics and WM performance. Forty-five healthy adults underwent dual-montage HD-tDCS with 2.0 mA anodal stimulation applied over the midline occipital cortices and either the left or right dorsolateral prefrontal cortices (DLPFC) concurrently, or sham to both sites during three sessions. Following stimulation, participants completed a verbal WM task during magnetoencephalography (MEG). Whole-brain, voxel-wise maps were subjected to 1 × 3 repeated measure ANOVAs to probe stimulation effects. We found that left DLPFC-occipital stimulation induced stronger theta responses in the left superior temporal cortices, left supramarginal gyrus, left angular gyrus, and the right parietal cortices, while attenuated alpha responses were observed in the bilateral parietal cortices following right compared to left DLPFC-occipital stimulation and sham. Additionally, both active stimulation montages modulated oscillatory responses in the bilateral inferior frontal, the right lateral occipital cortices and other critical WM network regions during the encoding and maintenance phases. In conclusion, our results show that dual-montage anodal HD-tDCS differentially modulates spectrally and temporally distinct oscillatory responses, suggesting clear functional dissociations between left and right prefrontal regions during WM processing. These findings highlight the potential of tDCS in advancing our understanding of the unique contribution of each region in the network, which long-term could inform clinical interventions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121407"},"PeriodicalIF":4.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760615","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":"Mesoscale functional connectivity of amygdala to the auditory and prefrontal cortex of macaque monkeys revealed by INS-fMRI.","authors":"Qianbing Li, An Ping, Yuqi Feng, Bin Xu, Baorong Zhang, Anna Wang Roe, Lixia Gao, Xinjian Li","doi":"10.1016/j.neuroimage.2025.121406","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121406","url":null,"abstract":"<p><p>Mammals rely heavily on their auditory system to perceive environmental threats, socially communicate, and care for the young. As an extension of the multiple sensory system including the auditory system, the amygdala evaluates the emotional salience of acoustic stimuli, and mediates its impact on sensory, cognitive, and physiological aspects of emotional processing via the lateral amygdala (LA), basal amygdala (BA), and central amygdala (CeA) nuclei of the amygdala in acoustic domain. However, the functional connections of LA, BA, and CeA with the auditory cortex (AC) and the prefrontal cortex (PFC) remain unclear, particularly at the mesoscale level. Here we employed a novel method called INS-fMRI (Infrared Neural Stimulation combined with high-resolution functional magnetic resonance imaging) in Macaque monkeys; this method permits stimulation of multiple sites within single animals in vivo, so that the relative organization of auditory networks can be studied. We found that: (1) Focal INS stimulation of the amygdala elicited robust and reliable responses in both the AC and the PFC; (2) Amygdala stimulation mainly activated ipsilateral AC and PFC; (3) The stimulation of the amygdala mainly activated the secondary AC, and the dorsolateral PFC; (4) The connection between the amygdala and the cortex is mainly mediated by neurons in LA and BA connection area. Our study further revealed the functional connectivity among the amygdala subnucleus, the auditory cortex and the prefrontal cortex, and will shed light on the research for processing biologically meaningful complex sounds.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121406"},"PeriodicalIF":4.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760616","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":"Deep diffusion MRI template (DDTemplate): A novel deep learning groupwise diffusion MRI registration method for brain template creation","authors":"Junyi Wang ,&nbsp;Xi Zhu ,&nbsp;Wei Zhang ,&nbsp;Mubai Du ,&nbsp;William M. Wells III ,&nbsp;Lauren J O’Donnell ,&nbsp;Fan Zhang","doi":"10.1016/j.neuroimage.2025.121401","DOIUrl":"10.1016/j.neuroimage.2025.121401","url":null,"abstract":"<div><div>Diffusion MRI (dMRI) is an advanced imaging technique that enables in-vivo tracking of white matter fiber tracts and estimates the underlying cellular microstructure of brain tissues. Groupwise registration of dMRI data from multiple individuals is an important task for brain template creation and investigation of inter-subject brain variability. However, groupwise registration is a challenging task due to the uniqueness of dMRI data that include multi-dimensional, orientation-dependent signals that describe not only the strength but also the orientation of water diffusion in brain tissues. Deep learning approaches have shown successful performance in standard subject-to-subject dMRI registration. However, no deep learning methods have yet been proposed for groupwise dMRI registration. . In this work, we propose Deep Diffusion MRI Template (DDTemplate), which is a novel deep-learning-based method building upon the popular VoxelMorph framework to take into account dMRI fiber tract information. DDTemplate enables joint usage of whole-brain tissue microstructure and tract-specific fiber orientation information to ensure alignment of white matter fiber tracts and whole brain anatomical structures. We propose a novel deep learning framework that simultaneously trains a groupwise dMRI registration network and generates a population brain template. During inference, the trained model can be applied to register unseen subjects to the learned template. We compare DDTemplate with several state-of-the-art registration methods and demonstrate superior performance on dMRI data from multiple cohorts (adolescents, young adults, and elderly adults) acquired from different scanners. Furthermore, as a testbed task, we perform a between-population analysis to investigate sex differences in the brain, using the popular Tract-Based Spatial Statistics (TBSS) method that relies on groupwise dMRI registration. We find that using DDTemplate can increase the sensitivity in population difference detection, showing the potential of our method's utility in real neuroscientific applications.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121401"},"PeriodicalIF":4.5,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732411","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":"Morphological changes of the choroid plexus in the lateral ventricle across the lifespan: 5551 subjects from fetus to elderly","authors":"Jiaxin Li ,&nbsp;Yuxuan Gao ,&nbsp;Yunzhi Xu ,&nbsp;Weiying Dai ,&nbsp;Yueqin Hu ,&nbsp;Xue Feng ,&nbsp;Dan Wu ,&nbsp;Li Zhao ,&nbsp;the Alzheimer’s Disease Neuroimaging Initiative, and the Parkinson’s Progression Markers Initiative","doi":"10.1016/j.neuroimage.2025.121392","DOIUrl":"10.1016/j.neuroimage.2025.121392","url":null,"abstract":"<div><h3>Background</h3><div>The developmental trajectory and aging process of the choroid plexus (ChP) in humans remain largely unexplored, and normative growth standards for ChP across the lifespan are lacking.</div></div><div><h3>Methods</h3><div>High-resolution magnetic resonance images were collected from cohorts of 5551 subjects, ranging in age from 21 gestational weeks to 90 years. ChP segmentation was performed using a combination of automated pipeline and manual annotations. The ChP volume, the ratio of ChP to brain parenchyma, and the ratio of ChP to brain ventricle were modeled using linear and quadratic regression. Additional morphological features of the ChP were investigated.</div></div><div><h3>Results</h3><div>The absolute and relative volumes of the ChP throughout lifespan were provided, including growth charts and a normative reference table. In addition, the morphological features, including max 3D diameter, flatness, and elongation of the ChP, reveal the turning points of fetal brain developments in the third trimester. Furthermore, the ratio of ChP-to-lateral ventricle, the ratio of ChP-to-brain parenchyma, flatness, and elongation of the ChP reveal characteristics of brain aging beginning at 30 years old. The enhanced ChP segmentation pipeline is available on GitHub: <span><span>https://github.com/princeleeee/ChP-Seg</span><svg><path></path></svg></span>.</div></div><div><h3>Conclusions</h3><div>This study provides a baseline measurement of ChP across the lifespan, which reveals ChP characteristics in brain development and aging.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121392"},"PeriodicalIF":4.5,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732413","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":"Disrupted structural connectivity-gray matter covariance coupling and associated cytoarchitectural and transcriptomic profiles in attention-deficit/hyperactivity disorder","authors":"Yajing Long ,&nbsp;Nanfang Pan ,&nbsp;Song Wang ,&nbsp;Kun Qin ,&nbsp;Qiuxing Chen ,&nbsp;Clara S. Vetter ,&nbsp;Manpreet K. Singh ,&nbsp;Alex Fornito ,&nbsp;Ying Chen ,&nbsp;Qiyong Gong","doi":"10.1016/j.neuroimage.2025.121402","DOIUrl":"10.1016/j.neuroimage.2025.121402","url":null,"abstract":"<div><h3>Background</h3><div>Attention-deficit/hyperactivity disorder (ADHD) has been associated with disrupted axonal connectivity (termed structural connectivity, SC) and altered interregional coupling of gray matter morphometry (termed gray matter covariance, GMC). However, the relationship between SC and GMC in ADHD remains understudied.</div></div><div><h3>Methods</h3><div>We investigated this relationship by quantifying the coupling between SC and GMC using neuroimaging data from 109 children with ADHD (aged 10.8 ± 2.3) and 105 typically developing controls (aged 11.2 ± 2.4) comparable for age and sex. Publicly accessible cytoarchitectural and transcriptomic datasets were employed to characterize the cellular and molecular correlates of ADHD-related SC-GMC coupling differences, and a machine learning pipeline was used to investigate its potential in classifying children with ADHD.</div></div><div><h3>Results</h3><div>Children with ADHD showed aberrant SC-GMC coupling patterns in the right putamen, left hippocampus, and ventral attention network compared to controls. Their abnormal SC-GMC coupling patterns were correlated with sensory-fugal gradient of cytohistological variation and spatially associated with gene expression enriched for neurodevelopment-related biological pathways, including neuron projection development. The classification model based on SC-GMC couplings achieved an area under the receiver operating characteristic curve (AUC) value of 0.67.</div></div><div><h3>Conclusions</h3><div>Our findings provide novel insights into atypical couplings between brain gray and white matter structural connectomes in ADHD, their histological and transcriptional correlates, and prospects of using these data to expand clinical phenotyping.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121402"},"PeriodicalIF":4.5,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732412","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":"Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS","authors":"Runhan Chen ,&nbsp;Meijin Lin ,&nbsp;Jianshu Chen ,&nbsp;Liangjie Lin ,&nbsp;Jiazheng Wang ,&nbsp;Xiaoqing Li ,&nbsp;Jianhua Wang ,&nbsp;Xu Huang ,&nbsp;Ling Qian ,&nbsp;Shaoxing Liu ,&nbsp;Yuan Long ,&nbsp;Di Guo ,&nbsp;Xiaobo Qu ,&nbsp;Haiwei Han","doi":"10.1016/j.neuroimage.2025.121400","DOIUrl":"10.1016/j.neuroimage.2025.121400","url":null,"abstract":"<div><div>Proton magnetic resonance spectroscopy (¹H-MRS) has potential in clinical diagnosis and understanding the mechanism of illnesses. However, its application is limited by the lack of standardization in data acquisition and processing across time points and between different magnetic resonance imaging (MRI) system vendors. This study examines whether metabolite concentrations obtained from different sessions, scanner models, and vendors can be reliably reproduced and combined for diagnostic analysis-an important consideration for rare disease research. Participants underwent magnetic resonance scanning once on two separate days within one week (one session per day, each including two ¹H-MRS scans without subject movement) on each machine. Absolute metabolite concentrations were analyzed for reliability of within- and between- session using the coefficient of variation (CV), intraclass correlation coefficient (ICC) and Bland-Altman (BA) plot, and for reproducibility across the machines using the Pearson correlation coefficient. As for within- and between- session, most of the CV values for a group of all the first or second scans of a session, and from each session were below 20 %, and most of ICCs ranged from moderate (0.4≤ICC&lt;0.59) to excellent (ICC≥0.75), which indicated high reliability. Most of the BA plots had the line of equality between 95 % confidence interval of bias (mean difference), therefore the differences over scanning time could be negligible. Majority of the Pearson correlation coefficients approached 1 with statistical significance (<em>P</em> &lt; 0.001), showing high reproducibility across the three scanners. Additionally, the intra-vendor reproducibility was greater than the inter-vendor ones.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121400"},"PeriodicalIF":4.5,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724010","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":"Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic mapping","authors":"Chaohong Gao ,&nbsp;Xia Wu ,&nbsp;Liang Ma ,&nbsp;Deying Li ,&nbsp;Yufan Wang ,&nbsp;Changlu Guo ,&nbsp;Wen Li ,&nbsp;Haiyan Wang ,&nbsp;Congying Chu ,&nbsp;Kristoffer Hougaard Madsen ,&nbsp;Lingzhong Fan","doi":"10.1016/j.neuroimage.2025.121399","DOIUrl":"10.1016/j.neuroimage.2025.121399","url":null,"abstract":"<div><div>The thalamus, a critical relay station in the brain, consists of multiple nuclei that play essential roles in various brain circuits. Identifying these nuclei is crucial for understanding how thalamic structures influence cognitive functions. However, genetic and environmental factors introduce substantial variability in thalamic parcellation patterns, posing both challenges and opportunities for individualized mapping of thalamic function. This study proposes an iterative prior-guided parcellation (iPGP) framework to construct individualized thalamic parcellations. The iPGP method utilizes the Morel histological atlas as prior guidance, incorporates spatially constrained local diffusion characteristics as features, and employs an iterative framework to optimize an individual-specific parcellation model. As a result, iPGP automatically adapts to individual thalamic contrast variations, producing personalized and anatomically consistent parcellations. Through test-retest assessments, iPGP demonstrated a high degree of intra-subject reproducibility. By evaluating inter-subject and inter-nuclei variability, iPGP exhibited strong adaptability across different age groups while capturing subject-specific and region-specific variability. Furthermore, thalamic parcellations generated by iPGP showed significant associations with adolescent age and adult behavioral-cognitive scores. Our findings suggest that iPGP effectively captures inter-subject and inter-nuclei variability in thalamic parcellation, highlighting its potential for advancing thalamic mapping in exploring brain function.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121399"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144714332","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":"Corrigendum to \"Emotion processing of facial affect expression in patients with somatic symptom disorder with predominant pain-An EEG-study\" [Neuroimage volume 307 (15 February 2025)/121036].","authors":"Eva Metzen, Mahboobeh Dehghan Nayyeri, Ralf Schäfer, Ulrike Dinger, Matthias Franz, Rüdiger Seitz, Jörg Rademacher","doi":"10.1016/j.neuroimage.2025.121378","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121378","url":null,"abstract":"","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121378"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718235","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}