NeuroImage最新文献

{"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":"10.1016/j.neuroimage.2025.121378","url":null,"abstract":"","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121378"},"PeriodicalIF":4.5,"publicationDate":"2025-09-01","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}

{"title":"Neural representation of action features across sensory modalities: A multimodal fMRI study","authors":"Laura Marras ,&nbsp;Lorenzo Teresi ,&nbsp;Francesca Simonelli ,&nbsp;Francesca Setti ,&nbsp;Alessandro Ingenito ,&nbsp;Giacomo Handjaras ,&nbsp;Emiliano Ricciardi","doi":"10.1016/j.neuroimage.2025.121439","DOIUrl":"10.1016/j.neuroimage.2025.121439","url":null,"abstract":"<div><div>Action representation and the sharing of feature coding within the Action Observation Network (AON) remain debated, and our understanding of how the brain consistently encodes action features across sensory modalities under variable, naturalistic conditions is still limited. Here, we introduce a theoretically-based taxonomic model of action representation that categorizes action-related features into six conceptual domains: Space, Effector, Agent &amp; Object, Social, Emotion, and Linguistic. We assessed the predictive power of this model on human brain activity by acquiring functional MRI (fMRI) data from participants exposed to audiovisual, visual-only, or auditory-only versions of the same naturalistic movie. Using a multi-voxel encoding analysis and variance partitioning, we demonstrated that our model significantly predicts cortical activity within the AON, with a comparable effect size across modalities. The Effector and Social domains contributed most to the model predictions and domain-specific representations were largely stable across sensory modalities. This study elucidates how the human brain robustly encodes action-related information across different sensory modalities, revealing that certain action domains have a stronger influence on neural representation in a modality-general manner. Overall, this research enhances our understanding of how the brain integrates complex action information from multiple sensory inputs, offering insights into the generalized nature of action representation in human cognition and paving the way for further exploration into multisensory integration.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121439"},"PeriodicalIF":4.5,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144963082","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":"Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review","authors":"Yi Hao Chan ,&nbsp;Deepank Girish ,&nbsp;Sukrit Gupta ,&nbsp;Jing Xia ,&nbsp;Chockalingam Kasi ,&nbsp;Yinan He ,&nbsp;Conghao Wang ,&nbsp;Jagath C. Rajapakse","doi":"10.1016/j.neuroimage.2025.121422","DOIUrl":"10.1016/j.neuroimage.2025.121422","url":null,"abstract":"<div><div>Graph neural networks (GNN) have emerged as a popular tool for modeling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated GNN designs and highlighted salient features that could be potential biomarkers of the disorder. However, existing methods of evaluating their robustness are often limited to cross-referencing with existing literature, which is a subjective and inconsistent process. In this review, we provide an overview of how GNN and model explainability techniques (specifically, feature attributors) have been applied to fMRI datasets for disorder prediction tasks, with an emphasis on evaluating the robustness of potential biomarkers produced by these feature attributors for psychiatric disorders. Then, 65 studies using GNNs that reported potential fMRI biomarkers for psychiatric disorders (attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, schizophrenia) published before 9 October 2024 were identified from 2 online databases (Scopus, PubMed). We found that while most studies have performant models, salient features highlighted in these studies (as determined by feature attribution scores) vary greatly across studies on the same disorder. Reproducibility of biomarkers is only limited to a small subset at the level of regions and few transdiagnostic biomarkers were identified. To address these issues, we suggest establishing new standards that are based on objective evaluation metrics to determine the robustness of these potential biomarkers. We further highlight gaps in the existing literature and put together a prediction–attribution–evaluation framework that could set the foundations for future research on discovering robust biomarkers of psychiatric disorders via GNNs.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121422"},"PeriodicalIF":4.5,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144919893","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":"Unequal allocation alters the benefit of interactive decision-making in novices: A hyperscanning study","authors":"Yinying Hu ,&nbsp;Rongbin Zhang ,&nbsp;Zongyu Duan ,&nbsp;Meihuan Liu ,&nbsp;Xiaojun Cheng","doi":"10.1016/j.neuroimage.2025.121430","DOIUrl":"10.1016/j.neuroimage.2025.121430","url":null,"abstract":"<div><div>Equality is often considered fundamental for effective social interaction, while inequality seems to be counterproductive. Although interaction benefits under equal sharing are well-documented, how unequal reward allocation shapes such benefits and their neural basis remains unclear. This study examined dyads consisting of one “expert” and one “novice” (classified based on individual performance in baseline task) performing a joint dot-location estimation task during simultaneous functional near-infrared spectroscopy (fNIRS) hyperscanning. Three reward conditions were tested: equal reward distribution (ED), unequal distribution-expert advantage (EA), and unequal distribution-novice advantage (NA). Behaviorally, novices benefited from interaction in the ED and NA conditions, but not in EA, while experts showed no gains across conditions. Moreover, dyads compromised more under ED and NA, indicating reflecting greater mutual influence and cooperation. Neurally, inter-brain synchronization (IBS) was highest in EA between experts’ frontal pole (FP) and novices’ right temporoparietal junction (rTPJ) and dorsolateral prefrontal cortex (DLPFC). In contrast, both EA and NA elicited greater IBS than ED in fronto-executive pathways (expert-novice: FP–DLPFC, DLPFC–DLPFC), with NA in particular supporting novice benefit through enhanced coordination. Notably, IBS was lowest in the ED condition, despite behavioral benefits, suggesting that equal allocation may foster more streamlined or efficient neural collaboration. These findings indicate that unequal reward allocation modulates expert-novice neural coupling differently than equal allocation. Crucially, allocation favoring novices preserves behavioral interaction benefits alongside distinct fronto-executive neural synchrony patterns, revealing adaptive social and neural dynamics shaped by reward structures.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121430"},"PeriodicalIF":4.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913454","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":"Cingulate and frontopolar cortical projections to the cerebellar vermis support prolonged reaction time in identifying negative emotional scenes in women","authors":"Hak Kei Wong ,&nbsp;Shefali Chaudhary ,&nbsp;Yu Chen ,&nbsp;Jaime S. Ide ,&nbsp;Sheng Zhang ,&nbsp;Chiang-Shan R. Li","doi":"10.1016/j.neuroimage.2025.121435","DOIUrl":"10.1016/j.neuroimage.2025.121435","url":null,"abstract":"<div><div>We previously observed sex differences in the association of individual anxiety and reaction time (RT) during identification of negative emotional scenes in a Hariri task. Prolonged RT, an attention marker, in identifying negative (vs. neutral) images correlated with anxiety level in women but not in men. However, the neural circuit that supports this behavioral observation remains unclear. Here, with a larger sample (64 men and 62 women), we employed whole-brain regression on individual differences in RT during matching negative vs. neutral images or RT (negative – neutral) and evaluated the results at a corrected threshold. Women but not men showed a significant correlation between individual anxiety and RT (negative – neutral), with a slope test confirming the sex difference. In women alone the cerebellar vermis showed activity in positive correlation with RT (negative – neutral). Further, Granger causality mapping (GCM) showed multiple brain regions, including the anterior cingulate cortex/frontopolar cortex (ACC/FPC), that provide inputs to the cerebellar vermis in women. Amongst these regions, only the ACC/FPC cluster showed activity (β) in significant correlation with both STAI State score and RT (negative – neutral) in women. GCM also identified a small cluster in the pons, suggesting that the cortical pontine cerebellar circuit may support prolonged RT during identification of negative emotions. Path analyses further characterized the inter-relationships amongst the neural markers, RT, and anxiety. These findings highlight a behavioral and circuit marker of anxiety state in neurotypical women. Studies with different behavioral paradigms are needed to characterize the behavioral and neural mechanisms of male anxiety.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121435"},"PeriodicalIF":4.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908151","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":"Structural changes in the gray matter of the contralateral hemisphere and prognosis of motor function in children with pharmacoresistant epilepsy before and after hemispherotomy","authors":"Yilin Zhao ,&nbsp;Dezhi Cao ,&nbsp;Fengjun Zhu ,&nbsp;Li Chen ,&nbsp;Zeshi Tan ,&nbsp;Turong Chen ,&nbsp;Hongwu Zeng","doi":"10.1016/j.neuroimage.2025.121429","DOIUrl":"10.1016/j.neuroimage.2025.121429","url":null,"abstract":"<div><h3>Objective</h3><div>Hemispherotomy (HS) is an effective treatment option to control seizures for children with pharmacoresistant epilepsy. We aimed to explore the alteration of the gray matter structure before and after surgery and identify the specific brain regions associated with preoperative neuropsychological development and postoperative motor development.</div></div><div><h3>Methods</h3><div>We conducted a retrospective study of magnetic resonance imaging (MRI) results, clinical parameters and follow-up data in 46 children who underwent hemispherotomy (HS) at our hospital between 2018 and 2022, and 32 controls were included. Voxel-based morphometry (VBM) and surface-based morphometry (SBM) techniques were employed to quantify the alteration of the gray matter structure. We used Spearman rank correlation and logistic regression models to analyze the influence of different factors on neuropsychological development and motor outcome.</div></div><div><h3>Results</h3><div>46 children with pharmacoresistant epilepsy undergoing hemispherotomy and 32 control subjects were recruited for this study. The patients were divided into two groups according to their surgical side: 29 patients with the left hemispherotomy (13 females, 17 months [IQR, 26 months]) and 17 patients with the right hemispherotomy (11 females, 19 months [IQR, 27.5 months]). Finally, 36 patients completed 13.80±1.54 months (LHS)/ 11.53±1.73 months (RHS) of follow-up, and 89.0 % remained completely seizure-free (outcome scale class IA). The prefrontal cortex showed a positive correlation with neuropsychological development before surgery. Cortical thickness (CT) of the anterior cingulate gyrus was an independent protective factor [OR=18.19, 95 % CI (1.56–212.43), <em>P</em> = 0.021] for motor function prognosis after surgery, while gray matter volume (GMV) of the temporal pole of the middle temporal gyrus was an independent risk factor [OR=0.07, 95 % CI (0.01–0.85), <em>P</em> = 0.037] after surgery.</div></div><div><h3>Significance</h3><div>Preoperative remodeling of prefrontal cortical gray matter structures in the contralateral hemisphere was performed for functional compensation. After surgery, the prefrontal and cingulate cortices resumed the normal developmental trajectories, with the cingulate cortex determining postoperative motor outcome. However, there is irreversible gray matter damage to the temporal lobe, leading to corresponding functional developmental deficits.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121429"},"PeriodicalIF":4.5,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908153","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":"A novel approach of [18F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy","authors":"Daoyan Hu ,&nbsp;Xiaofeng Dou ,&nbsp;Jing Wang ,&nbsp;Chentao Jin ,&nbsp;Ke Liu ,&nbsp;Rui Zhou ,&nbsp;Xiaohui Zhang ,&nbsp;Congcong Yu ,&nbsp;Yan Zhong ,&nbsp;Mei Tian ,&nbsp;Hong Zhang","doi":"10.1016/j.neuroimage.2025.121433","DOIUrl":"10.1016/j.neuroimage.2025.121433","url":null,"abstract":"<div><h3>Purpose</h3><div>Many efforts have been tried to evaluate multiple system atrophy (MSA)-related cognitive impairment, however, there is still lacking of effective approach. In this study, for the first time, we developed the individual metabolic radiomics networks (IMRN) using [¹⁸F]FDG PET imaging to investigate brain metabolic connectivity patterns of MSA and validated the usefulness of IMRN-based predictive model for MSA-related cognitive impairment.</div></div><div><h3>Methods</h3><div>In this retrospective study, we recruited 115 MSA patients with [¹⁸F]FDG PET/CT scans. IMRN was constructed by extracting non-redundant radiomics features from each brain region and computing pairwise Pearson correlation coefficients among these features. The validation of IMRN included assessments of small-world properties, test-retest reliability, and metabolic-genetic correlations. Connectome-based predictive modeling (CPM) was implemented to predict Mini Mental State Examination (MMSE) scores, while network-based statistics (NBS) were compared between MSA patients with cognitive impairment (MSA-CI, <em>n</em> = 58; MMSE &lt; 27) and those with normal cognition (MSA-NC, <em>n</em> = 57; MMSE ≥ 27). A support vector machine (SVM) classifier for detecting MSA-CI was developed using discriminative IMRN edges.</div></div><div><h3>Results</h3><div>IMRN showed small-world properties (σ &gt; 1), high reliability (average edge ICC = 0.754), and a significant correlation with gene expression (<em>r</em> = 0.44, <em>P</em> &lt; 0.001). CPM significantly predicted cognitive scores through IMRN edges (positive network: <em>r</em> = 0.27, <em>P</em> = 0.03; negative network: <em>r</em> = 0.28, <em>P</em> = 0.02). NBS revealed decreased cerebellar-cortical connectivity (73 edges) and increased intra-cerebellar/limbic connectivity (24 edges) in MSA-CI compared to MSA-NC. The IMRN-based SVM outperformed SUVR-based SVM in classifying MSA-CI (accuracy: 73.91% vs 62.61%; AUC: 0.80 vs 0.69).</div></div><div><h3>Conclusion</h3><div>This study established a novel approach of IMRN for assessing whole brain metabolic connectivity, uncovering distinct cerebellar connectivity patterns in MSA-CI, which held promise for facilitating personalized cognitive evaluations in MSA.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121433"},"PeriodicalIF":4.5,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908272","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":"Putamen vascularization on high-resolution 7T MRI is associated with perfusion and cognitive performance in cerebral small vessel disease","authors":"Philipp Arndt ,&nbsp;Stefanie Boewe ,&nbsp;Jascha Brüggemann ,&nbsp;Berta Garcia-Garcia ,&nbsp;Renat Yakupov ,&nbsp;Niklas Vockert ,&nbsp;Anne Maas ,&nbsp;Malte Pfister ,&nbsp;Valentina Perosa ,&nbsp;Marwa Al Dubai ,&nbsp;Robin Jansen ,&nbsp;Sven G. Meuth ,&nbsp;Marc Dörner ,&nbsp;Patrick Müller ,&nbsp;Solveig Henneicke ,&nbsp;Frank Schreiber ,&nbsp;Katja Neumann ,&nbsp;Hendrik Mattern ,&nbsp;Stefanie Schreiber","doi":"10.1016/j.neuroimage.2025.121426","DOIUrl":"10.1016/j.neuroimage.2025.121426","url":null,"abstract":"<div><h3>Objective</h3><div>In cerebral small vessel disease (CSVD), compromised arterial supply to the deep gray matter contributes to cognitive decline. While CSVD frequently involves lenticulostriate arteries supplying the putamen, the functional consequences of altered putaminal vascular architecture remain unclear. We hypothesized that a less homogeneous arterial network in the putamen is associated with impaired perfusion and worse cognitive performance in CSVD.</div></div><div><h3>Methods</h3><div>We enrolled 16 CSVD patients with cerebral microbleeds and 21 age‑matched controls (mean age 71 years; 38 % female). High-resolution 7 T time‑of‑flight angiography was used to segment all visible intraputaminal vessels. For each voxel in the putamen, the distance to its nearest segmented vessel was computed to generate a vessel distance map; the mean vessel distance reflects the homogeneity of the arterial network. Putaminal perfusion was quantified via multi‑inversion time pulsed arterial spin labeling (ASL) at 3 T, and CSVD severity was scored on clinical 3 T MRI. All participants completed a comprehensive neuropsychological battery to derive a global cognition composite score.</div></div><div><h3>Results</h3><div>Linear regression revealed that higher CSVD MRI scores predicted larger mean vessel distance, reflecting a sparser arterial network, in both the right (B = 0.12, β = 0.42, p = 0.010) and left putamen (B = 0.13, β = 0.43, p = 0.014). Across all participants, increased vessel distance was also associated with prolonged arterial transit time in the right (B = 0.044, β = 0.50, p = 0.009) and left putamen (B = 0.042, β = 0.49, p = 0.009). Finally, in a multivariable linear regression adjusting for demographics, vascular risk factors, and CSVD severity, greater vessel distance in the right putamen was associated with lower global cognitive performance (B = –1.26, β = –0.34, p = 0.012).</div></div><div><h3>Conclusion</h3><div>This study demonstrates the impact of an impaired arterial network in the putamen on blood supply and cognitive function across the continuum of CSVD.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"319 ","pages":"Article 121426"},"PeriodicalIF":4.5,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918014","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":"Inferior frontal gyrus is responsible for cognitive control during two-digit number processing: fNIRS evidence from magnitude comparison task","authors":"Yunfeng He ,&nbsp;Huan Zhang ,&nbsp;Hans-Christoph Nuerk ,&nbsp;Christina Artemenko","doi":"10.1016/j.neuroimage.2025.121424","DOIUrl":"10.1016/j.neuroimage.2025.121424","url":null,"abstract":"<div><div>Cognitive control plays an indispensable role in multi-digit number processing. The place-value structure of multi-digit numbers is apparent when comparing numbers. If the comparison of units yields a different result from the comparison of decades, the process takes longer than comparing compatible number pairs. Behavioral and eye-tracking studies have shown that this unit-decade compatibility effect was larger under high as compared to low cognitive control demands. However, the question arises whether cognitive control operates mainly as a domain-general effect in the frontal cortex, or if it directly affects domain-specific number magnitude processes in the parietal cortex. In the current fNIRS study, cognitive control demands were manipulated by adjusting the proportion of within-decade fillers in two-digit number comparison tasks (<em>N</em> = 80). The compatibility effect was replicated, and the fNIRS results showed that cognitive control is associated with the inferior frontal gyrus in two-digit number comparison. Thus, cognitive control operates mainly in the frontal cortex and does not directly affect domain-specific number magnitude processes in the parietal cortex. Methodological and linguistic limitations are discussed. Overall, this neurocognitive evidence supports that domain-general cognitive processes are relevant for multi-digit number processing.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121424"},"PeriodicalIF":4.5,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896740","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":"Cardiac autonomic responses to cortical electrical stimulation: a SEEG study","authors":"Chouchou Florian ,&nbsp;Soulier Hugo ,&nbsp;Pichot Vincent ,&nbsp;Mauguière François ,&nbsp;Faillenot Isabelle ,&nbsp;Guénot Marc ,&nbsp;Hermier Marc ,&nbsp;Jung Julien ,&nbsp;Montavont Alexandra ,&nbsp;Catenoix Hélène ,&nbsp;Isnard Jean ,&nbsp;Roche Frédéric ,&nbsp;Rheims Sylvain ,&nbsp;Mazzola Laure","doi":"10.1016/j.neuroimage.2025.121423","DOIUrl":"10.1016/j.neuroimage.2025.121423","url":null,"abstract":"<div><div>Recent growing neuroimaging evidence support that a set of cortical regions - the central autonomic network - is involved in autonomic control, but its functional organization remains unclear. We studied the direct autonomic cardiac effects produced by 1500 direct cortical electrical stimulations in 43 patients with epilepsy (32.8 ± 8.6 years old, 19 females) undergoing intracerebral recordings during presurgical evaluation. The time course of RR interval (RRI) reactivity and its variability were studied. Nearly half (48.6 %, <em>n</em> = 729) of the cortical stimulations resulted in a cardiac response, divided almost equally between bradycardia (24.47 %) and tachycardia (24.13 %), with no difference between right and left stimulations. Bradycardia was marked by an increase in parasympathetic heart control (increase in HF power and decrease in LF/HF ratio), while tachycardia was marked by a predominance in sympathetic heart control (decrease in HF power and increase in LF/HF ratio). We individualized a main network, where evoked bradycardia and tachycardia were strong, consisting of amygdala, posterior insula, frontal mesial premotor/prefrontal cortex, and anterior cingulate. Other brain regions were also involved, but to a lesser degree, with regions mostly in the limbic system and neocortex (sensory-motor/premotor and lateral temporal regions). These results highlight a close relationship between cerebral cortex and heart. Two hierarchically ordered networks were identified. A ‘core’ autonomic network strongly involved in cardiovascular regulation, consistent with the classical definition of CAN in functional imaging. But also a more ‘widespread’ autonomic network, both consistent with a major role of the cortex in continuous autonomic cardiac adjustments to high level emotional, cognitive or sensorimotor cortical activities. This study establishes for the first time a functional mapping of cardiac responses evoked by cortical electrical stimulations, and evidenced hierarchically ordered networks that extends the classical model of CAN.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"318 ","pages":"Article 121423"},"PeriodicalIF":4.5,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144860883","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}