NeuroImage最新文献

{"title":"The impact of trust violations on emotional conflict control","authors":"Shuge Yuan ,&nbsp;Mengsi Xu ,&nbsp;Yue Zhu","doi":"10.1016/j.neuroimage.2025.121488","DOIUrl":"10.1016/j.neuroimage.2025.121488","url":null,"abstract":"<div><div>Effectively controlling emotional conflicts is important for both social adjustment and mental health. Previous research has indicated that trust violations heightened negative cognitive biases and impaired cognitive control under moderate to high cognitive loads. However, the impact of trust violations on emotional conflict control remains unclear. This study aims to investigate how trust violations affect emotional conflict control in both intrapersonal (utilizing the emotional Stroop paradigm in Experiment 1) and interpersonal contexts (employing the cued Ultimatum game in Experiment 2). One hundred participants performed conflict control tasks with ERPs recorded (56 for Experiment 1 and 44 for Experiment 2). In Experiment 1, trust violations impaired conflict control when negative stimuli served as targets, reflected in longer RTs in the angry incongruent condition for the violation group compared to the control group. They also impaired conflict resolution when negative stimuli served as distractors, reflected in reduced slow potential (SP) amplitudes in the happy incongruent condition for the violation group compared to the control group. In Experiment 2, trust violations impaired conflict resolution in threatening interactions, reflected in reduced SP amplitudes when resolving conflicts between happy expressions and unfair proposals, and heightened negative bias in interpreting interpersonal cues, as indicated by larger P3 amplitudes for untrustworthy and angry faces. Overall, trust violations undermine emotional conflict control in both intrapersonal and interpersonal contexts, with the impairment particularly evident at the conflict resolution stage. In intrapersonal contexts, they disrupted conflict resolution when negative stimuli acted as distractors, and in interpersonal contexts, they impaired resolution in threatening interactions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"320 ","pages":"Article 121488"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213209","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":"Aligning with the good in urgency: The enhanced prosocial influence under high time pressure","authors":"Zhengjie Liu ,&nbsp;Xiaobo Zhong ,&nbsp;Jie Liu ,&nbsp;Fang Cui","doi":"10.1016/j.neuroimage.2025.121491","DOIUrl":"10.1016/j.neuroimage.2025.121491","url":null,"abstract":"<div><div>Prosocial behavior is essential for enhancing human welfare, particularly in urgent situations. This study employed computational models and fMRI to examine how prosocial influence affects helping behaviors under varying levels of time pressure. Participants were tasked with deciding whether to reduce electric shocks to strangers at their own expense, influenced by varying levels of time pressure (high or low) and social influences (prosocial or selfish choices made by others). Both results of study 1 (<em>n</em> = 31) and study 2 (<em>n</em> = 39) showed that prosocial influence significantly increased helping tendencies, especially under high time pressure. The hierarchical drift diffusion model demonstrates that under high time pressure, prosocial influence accelerates evidence accumulation toward prosocial choices, while a conflict emerges between prosocial priori information and the process of evidence accumulation under low time pressure. Neural correlates also indicated distinct activation patterns associated with prosocial influence under high and low time pressures: heightened affective-related activation in the insula and medial cingulate gyrus under high pressure, and increased activation in the valuation related caudate nucleus, with altered connectivity to the lateral prefrontal cortex under low pressure. In urgent contexts, witnessing altruistic actions of others significantly enhances helping behaviors through increased activation of empathy-related neural regions. Conversely, in non-urgent situations, the impact of prosocial influence diminishes, as evidenced by changes in neural activity. These findings underscore the critical role of social influence in fostering prosocial behavior during emergencies, highlighting the importance of immediate action in urgent contexts.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"320 ","pages":"Article 121491"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213259","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":"Investigating the effects of transcutaneous vagus nerve stimulation on motor cortex excitability and inhibition through paired-pulse transcranial magnetic stimulation","authors":"Sara Boscarol ,&nbsp;Letizia Turchi ,&nbsp;Viola Oldrati ,&nbsp;Cosimo Urgesi ,&nbsp;Alessandra Finisguerra","doi":"10.1016/j.neuroimage.2025.121496","DOIUrl":"10.1016/j.neuroimage.2025.121496","url":null,"abstract":"<div><div>Transcutaneous Vagus Nerve stimulation (tVNS) has been proposed as a treatment for refining GABAergic transmission. While the effects of tVNS on behavioral performance in inhibitory control tasks have been already demonstrated, neurophysiological studies investigating its effects on GABA-mediated inhibition in the motor cortex provided contrasting findings. Concurrently, the influence of participants’ sex and state conditions remains unexplored. Here we applied single- and paired-pulse TMS to the right or left primary motor cortex in two groups of participants. We measured corticospinal excitability (CSE), short and long intracortical inhibition (SICI and LICI), cortical silent period (cSP) and intracortical facilitation (ICF) indexes. These measures were taken, in a within-subject design, at a baseline session before tVNS and after delivering active or sham tVNS in the Cymba conchae of the left ear. To exploit state-dependent effects and assess the role of tVNS in motor learning, tVNS was applied during the execution of a computerized visuomotor task. In the left TMS group, we observed that the visuomotor performance improved across task blocks during active tVNS only, regardless of participant’s sex. Interestingly, in both groups, we found a specific increase of SICI, a proxy of GABAa activity, after active versus sham-tVNS and baseline evaluations, which was specifically limited to female participants. No effects on CSE, ICF or GABAb-mediated intracortical inhibition indexes were observed. The results show specific effects of tVNS on motor learning and GABAa-mediated motor inhibition, providing supportive evidence for the application of tVNS as a coadjuvant treatment for disorders with altered inhibition mechanisms.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121496"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213242","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":"Synchronous assessment of CSF and cerebral arteriovenous flow interactions across ultra-low, low, respiratory, and cardiac frequencies using real-time phase-contrast MRI","authors":"Pan Liu ,&nbsp;Kimi Owashi ,&nbsp;Heimiri Monnier ,&nbsp;Jean-Marc Constans ,&nbsp;Cyrille Capel ,&nbsp;Olivier Balédent","doi":"10.1016/j.neuroimage.2025.121490","DOIUrl":"10.1016/j.neuroimage.2025.121490","url":null,"abstract":"<div><div>Cerebrospinal fluid (CSF) oscillations are traditionally viewed as passive responses to cardiac-driven cerebral blood volume (CBV) fluctuations. However, the origins of their respiratory, low-, and ultra-low-frequency components remain unclear. This study employed a single-VENC (30 cm/s), long-duration (∼4 min) real-time phase-contrast MRI (RT-PC) protocol to synchronously quantify cerebral blood and CSF flows across multiple frequency bands, aiming to identify the primary drivers of CSF oscillations.</div><div>In seven healthy adults, arterial, venous, and CSF flows were simultaneously acquired at the C2–C3 level under free-breathing conditions. After image segmentation, background correction, and flow integration, CBV and CSF volume displacement (CSFV) curves were derived and spectrally decomposed into ultra-low (0.01–0.05 Hz), low (0.05–0.1 Hz), respiratory (∼0.3 Hz), and cardiac (∼1 Hz) bands.</div><div>Mean amplitudes (±SD, ml) in the ultra-low, low, respiratory, and cardiac bands were as follows: for CBV, 4.6 ± 2.0, 1.1 ± 0.5, 1.3 ± 0.9, and 0.8 ± 0.1; for CSFV, 1.9 ± 0.5, 0.8 ± 0.2, 0.5 ± 0.2, and 0.6 ± 0.2. Notably, CBV amplitude in the ultra-low band exhibited a bimodal distribution potentially linked to sleep state. Cross-correlation analysis revealed mirrored CBV–CSFV coupling across all frequency bands, ranging from moderate (ultra-low and low: –0.59) to strong correlation (cardiac: –0.88, respiratory: –0.91). However, band-specific lags indicated distinct underlying mechanisms. Cardiac oscillations (CBV leading CSFV; lag = –0.18 ± 0.08 s, p &lt; 0.01) aligned with pressure-driven models. Low-frequency oscillations (CSFV preceding CBV; lag = 0.81 ± 0.67 s, p = 0.03) suggested cerebrovascular reactivity (CVR) mediated compliance changes. Respiratory oscillations showed near-synchronous coupling (lag = –0.13 ± 0.41 s, not significant), likely reflecting combined CBV and CVR effects. In the ultra-low-frequency band, CSFV led CBV by 5–8 seconds in over half of the data, potentially reflecting a complex neuro-respiratory regulatory pathway.</div><div>This study demonstrates the feasibility of RT-PC for synchronous quantification of cerebral blood and CSF dynamics. Our findings reveal that CSF oscillations are driven not only by CBV fluctuations but also by CVR-modulated changes in brain compliance. These results provide novel insights into frequency-dependent neurofluid coupling, offering a physiological foundation for disease understanding and diagnostic development in neurological disorders.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121490"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213173","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":"Sex heterogeneity of inter-individual functional hierarchical organization similarity in autism spectrum disorder based on the joint embedding analysis","authors":"Le Gao ,&nbsp;Tengda Zhang ,&nbsp;Rongjuan Zhou ,&nbsp;Tao Zhang ,&nbsp;Xiaonan Guo","doi":"10.1016/j.neuroimage.2025.121495","DOIUrl":"10.1016/j.neuroimage.2025.121495","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) has been reported to exhibit altered functional connectivity in the brain. While extant research has predominantly examined male samples, sex differences of functional organization in ASD remains poorly characterized. This study aimed to explore the sex heterogeneity of the inter-individual functional hierarchical organization similarity in ASD. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database, including 284 males/65 females with ASD and 340 male/119 female neurotypical controls (NCs) were used in this study. A joint embedding method was used to embed the functional connectomes of individuals into a common connectivity space and the inter-individual functional hierarchical organization similarity was further calculated within each group. Two-way analysis of variance (ANOVA) was used to explore sex heterogeneity in the functional hierarchical organization similarity in ASD. Significant diagnosis-by-sex interaction effects on the functional hierarchical organization similarity were observed in the default mode network, frontal-parietal network, subcortical network, dorsal attention network, and undefined network. The predictive analysis of symptom severity showed that the functional hierarchical organization similarity of brain regions with significant diagnosis-by-sex interaction effects can predict the social interaction impairments in males with ASD, whereas this relationship was not detected in females with ASD. These findings emphasize the sex heterogeneity of functional hierarchical organization in ASD and underscore the necessity of considering sex differences in future studies of ASD.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121495"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213211","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 of fNIRS within subject for visual and motor tasks","authors":"Julie C. Wagner ,&nbsp;Anthony Zinos ,&nbsp;Scott A. Beardsley ,&nbsp;Wei-Liang Chen ,&nbsp;Lisa Conant ,&nbsp;Marsha Malloy ,&nbsp;Joseph Heffernan ,&nbsp;Brendan Quirk ,&nbsp;Robert Prost ,&nbsp;Mohit Maheshwari ,&nbsp;Jeffrey Sugar ,&nbsp;Harry T. Whelan","doi":"10.1016/j.neuroimage.2025.121492","DOIUrl":"10.1016/j.neuroimage.2025.121492","url":null,"abstract":"<div><div>Functional Near Infrared Spectroscopy (fNIRS) is becoming a popular metric to noninvasively identify brain activity through assessing changes in oxygenated (HbO) and deoxygenated (HbR) hemoglobin concentration. Several aspects of fNIRS imaging are appealing for clinical applications but the reproducibility of fNIRS signals has yet to be determined over several sessions. To address this, four participants completed at least ten sessions on separate days where they performed Motor and Visual tasks while fNIRS signals were measured from 102 channels spanning the entire head. Reproducibility was quantified as the percentage of significant task related activity occurring across sessions at the channel and source levels (anatomically specific and default head models) via Region of Interest (ROI) and vertex-wise analyses. To improve source localization, digitized optode positions from each session were used with the anatomy specific source localization. Individual differences in reproducibility were present yet task-related changes in HbO were significantly more reproducible over sessions than changes in HbR (F(1, 66) = 5.03, <em>p</em> <em>&lt;</em> <em>0.05</em>). Increased shifts in optode position correlated with less spatial overlap across sessions for each participant. Further steps can be taken to increase the reliability of capturing brain activity with fNIRS by improving upon data acquisition and analysis techniques.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121492"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213177","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":"Slow wave dynamics of scalp EEG can be explained by simple statistical models of long-range connections","authors":"Mariia Steeghs-Turchina ,&nbsp;Ramesh Srinivasan ,&nbsp;Paul L. Nunez ,&nbsp;Michael D. Nunez","doi":"10.1016/j.neuroimage.2025.121418","DOIUrl":"10.1016/j.neuroimage.2025.121418","url":null,"abstract":"<div><div>Scalp-recorded electroencephalography (EEG) is thought to be driven by both local and global oscillations dependent on the cognitive state and task of the individual. However, many EEG studies assume that the activity is local, especially when inverse modeling EEG activity. In this work, we show that a simple model of purely macroscopic connections derived from biologically plausible distributions of long-range axon delays can drive many of the traditional features of scalp-recorded EEG dynamics. All that is required is a simple linear model of time delays in a linear vector autoregressive framework with a few parameters. We make several simplifying modeling assumptions in the model: only long-range excitatory connections are included, local activity is treated as stochastic noise, and nonlinear synaptic dynamics are omitted. As a proof of concept, we restrict the model to five broad brain regions (frontal, parietal, occipital, temporal, thalamic) and model resting state EEG with no external input. We show how this simple connection model is derived from theoretical principles of synaptic activity. The model is able to replicate many features of real EEG data, including resting-state alpha power and coherence (8–13 Hz). We show that model parameters can also be informed by empirical work on structural connectivity, axon diameter estimation, and functional connectivity of fMRI BOLD measures. However, some features of the macroscopic simulations are not ideal as a model for all features of resting EEG, such as high coherence in low-frequencies in the simulation as opposed to real data. Overall, the results support the explanation of many classical EEG findings in terms of macroscopic network behavior as opposed to local activity.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121418"},"PeriodicalIF":4.5,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207067","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":"Methodological advances in encoding models of brain: Applying temporal response functions to magnetoencephalography for written text perception","authors":"Gurgen Soghoyan ,&nbsp;Anastasia Neklyudova ,&nbsp;Olga Martynova ,&nbsp;Olga Sysoeva","doi":"10.1016/j.neuroimage.2025.121484","DOIUrl":"10.1016/j.neuroimage.2025.121484","url":null,"abstract":"<div><div>Recent advancements in cognitive neuroscience have expanded the tools available to study language processing beyond traditional event-related potentials (ERPs), and introduced new methods, such as the Temporal Response Function (TRF). TRF allows a nuanced investigation of brain dynamics by modeling neural responses as a convolution of stimuli with self-optimized TRF curves. While TRF has been successfully applied in auditory speech research, its application to written language processing remains unexplored. In this study, we introduce a novel approach to TRF analysis in reading using magnetoencephalography (MEG), leveraging its high spatial resolution. We employed the Rapid Serial Visual Presentation (RSVP) paradigm to present text word-by-word, avoiding eye-movement artifacts and enabling precise timing. By integrating predictors, such as word onset, word length, and semantic dissimilarity (SD), we explored both low- and high-level linguistic processing during reading. Our analysis of 17 participants revealed significant early neural responses within 150 ms post-word onset, associated with semantic processing, supporting the notion of rapid semantic integration in written text perception. This study serves as a proof of concept for using TRF in reading research, extending its utility from auditory to written language domains. Our findings contribute to understanding the neural mechanisms underlying reading and suggest potential applications for studying populations with reading impairments, such as dyslexia.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121484"},"PeriodicalIF":4.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145176768","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":"Mapping the mind’s landscape: Common neural encoding for spatial and morality concepts","authors":"Jing Wang ,&nbsp;Miao Qian ,&nbsp;Qing Cai","doi":"10.1016/j.neuroimage.2025.121485","DOIUrl":"10.1016/j.neuroimage.2025.121485","url":null,"abstract":"<div><div>Abstract concepts such as <em>justice</em> are not directly tied to our sensory or motor experiences, yet they constitute an essential part of our knowledge. A longstanding question is how the brain, shaped by survival pressures, encodes these abstract concepts. This study investigated how vertical spatial representations relate to moral concept encoding in the brain (“good is up; bad is down”). We found that vertical positional processing and moral semantics elicited characteristic activation patterns, which enabled the learned neural distinctions between <em>up</em> and <em>down</em> to be generalized to decode the neural signatures of <em>moral</em> and <em>immoral</em> concepts, and vice versa, suggesting shared neural signatures between the two concept domains. Most of the vertical metaphorical representations of morality were independent of the encoding of <em>pleasant</em> vs. <em>unpleasant</em> affect, indicating the specificity of the vertical spatial representation that could not be attributed to the generic representation of arbitrary magnitude or polarity. Nonetheless, morality encoding did not rely solely on vertical spatial information, in that the morality of a word could also be decoded from neural signatures in non-spatial areas. These findings highlight both the spatial metaphorical associations and the domain-specific information in the neural representation of moral concepts.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"320 ","pages":"Article 121485"},"PeriodicalIF":4.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156206","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":"Neural mechanisms of articulatory motor speech deficit in post-stroke aphasia: An ERP study","authors":"Vahid Nejati ,&nbsp;Ayoub Daliri ,&nbsp;Roozbeh Behroozmand","doi":"10.1016/j.neuroimage.2025.121483","DOIUrl":"10.1016/j.neuroimage.2025.121483","url":null,"abstract":"<div><div>Auditory-motor integration is crucial for speech production, yet its underlying neural mechanisms remain poorly understood in individuals with aphasia following left-hemisphere stroke. This study utilized event-related potentials (ERPs) to investigate the neural correlates of speech production and auditory feedback control under a formant alteration paradigm in aphasia. A total of 20 participants with post-stroke aphasia and 22 controls performed a monosyllabic word production task under randomized normal (i.e. no shift) and altered auditory feedback (AAF) trials by applying a +30 % upward shift to the first formant (F1) frequency during concurrent electroencephalography (EEG) recordings. The analysis of pre-speech ERPs (readiness potentials) did not reveal any neural activity differences between and within groups. However, we found that the aphasia group exhibited significantly smaller ERP amplitudes compared with controls irrespective of auditory feedback condition following the onset of speech production. In addition, post-speech ERPs were significantly larger in the anterior vs. posterior regions in controls, but no such difference was present in the aphasia group. Moreover, no laterality effect was observed, suggesting a bilateral distribution of neural activities in both groups. Finally, the AAF did not elicit any between-group ERP differences, and this effect was consistent with behavioral compensatory responses to formant alterations. These findings highlight reduced articulatory neural responsiveness in aphasia, particularly in the anterior cortical regions implicated in speech production and motor control. The absence of the AAF effect suggests limited sensitivity to feedback alterations in both groups, potentially due to motor adaptation of the underlying mechanisms over repeated formant-shifting trials.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"320 ","pages":"Article 121483"},"PeriodicalIF":4.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145176866","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}