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Neural representations of emotional response inhibition reveal trait and state biomarkers in pediatric bipolar disorder 情绪反应抑制的神经表征揭示了儿童双相情感障碍的特征和状态生物标志物。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121738
Jia Li , Rong Wang , Jianze Wu , Qian Xiao , Yuan Zhong
Pediatric bipolar disorder (PBD) is characterized by disrupted cognitive control, particularly in response inhibition under emotional interference. However, the neural underpinnings of these deficits, particularly how these impairments vary across emotional valence and whether they reflect trait markers or state alterations, remain unclear. While traditional univariate fMRI analyses reveal broad activation differences, they lack sensitivity to fine-grained neural patterns. This study aims to examine the neural representations of emotional response inhibition in PBD under valence-dependent interference using representational similarity analysis(RSA). We included manic (n = 15) and euthymic (n = 18) PBD patients, along with matched healthy controls (n = 17). Participants completed an emotional Go/NoGo task with happy, sad, and neutral faces during fMRI. Six contrast conditions were modeled to assess trait- and state-related effects. Whole-brain searchlight RSA (8 mm radius) was used to identify regions showing group differences in neural representational patterns. Results showed that emotional response inhibition engaged distributed neural systems, with distinct patterns across valence conditions. Compared to controls, PBD patients exhibited trait-related representational differences during happy inhibition, sad inhibition, and sad-specific inhibition, involving regions such as the precentral gyrus, middle frontal gyrus, and inferior parietal lobule. Manic patients showed state-related reductions in neural representations during sad-specific inhibition within frontal areas compared to euthymic patients. These findings indicate that emotional response inhibition deficits in PBD arise from both trait- and state-dependent abnormalities in neural representations. The study highlights the value of multivariate fMRI in uncovering clinically relevant biomarkers and provides a novel framework for developing phase-specific interventions.
儿童双相情感障碍(PBD)的特点是认知控制紊乱,特别是在情绪干扰下的反应抑制。然而,这些缺陷的神经基础,特别是这些损伤如何在情绪效价中变化,以及它们是否反映了特征标记或状态改变,仍不清楚。虽然传统的单变量功能磁共振成像分析揭示了广泛的激活差异,但它们对细粒度的神经模式缺乏敏感性。本研究旨在利用表征相似度分析(RSA)研究价依赖干扰下PBD情绪反应抑制的神经表征。我们纳入了躁狂型(n=15)和常郁型(n=18) PBD患者,以及匹配的健康对照(n=17)。参与者在fMRI期间完成了一项带有情绪的Go/NoGo任务,其中有快乐、悲伤和中性的面孔。六个对比条件被建模来评估特质和状态相关的影响。采用全脑探照灯RSA (8mm半径)识别神经表征模式组间差异区域。结果表明,情绪反应抑制涉及分布式神经系统,在不同效价条件下具有不同的模式。与对照组相比,PBD患者在快乐抑制、悲伤抑制和悲伤特异性抑制方面表现出特质相关的代表性差异,涉及中央前回、额中回和顶叶下小叶等区域。与心境正常的患者相比,躁狂患者在额叶区域的悲伤特异性抑制中表现出与状态相关的神经表征减少。这些发现表明,PBD的情绪反应抑制缺陷是由神经表征的特征依赖性和状态依赖性异常引起的。该研究强调了多元功能磁共振成像在发现临床相关生物标志物方面的价值,并为开发特定阶段的干预措施提供了新的框架。
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引用次数: 0
A watershed algorithm GUI for personalized fMRI-guided rTMS target fmri引导下rTMS目标个性化分水岭算法GUI
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121743
Zi-Jian Feng , Ziyu Wei , Liquan Hong , Hongli Fang , Yu Han , Peifeng Yang , Dongsheng Lv , Yu-Feng Zang
Personalized repetitive transcranial magnetic stimulation (rTMS) increasingly relies on resting-state functional magnetic resonance imaging (fMRI) to select stimulation sites, yet most pipelines depend on user-defined thresholds and atlas masks, which can shift individualized targets. We propose a watershed-based approach, implemented in a graphical user interface, that performs threshold-independent segmentation of functional images to support rTMS target localization. As a proof-of-concept, we focused on Alzheimer’s disease–related circuits within the default mode network, designating the posterior cingulate cortex (PCC) as the deep effective region and the inferior parietal lobule (IPL) as the superficial stimulation target. In a cohort of 21 healthy participants, quantitative comparison with a conventional threshold-based, mask-constrained peak strategy revealed high concordance for PCC peaks but a median spatial displacement of 6.0 mm (95 % CI: 0.0–12.7 mm) for IPL targets. Qualitative examples further illustrate that watershed segmentation reduces bias from neighboring functional clusters, truncation by atlas boundaries, and ambiguity among multiple local peaks. By decoupling target definition from user-chosen thresholds and packaging the method in an accessible toolbox, this framework offers a generalizable tool for individualized fMRI-guided rTMS.
个性化重复经颅磁刺激(rTMS)越来越依赖于静息状态功能磁共振成像(fMRI)来选择刺激位点,然而大多数管道依赖于用户定义的阈值和图谱掩模,这可以改变个性化的目标。我们提出了一种基于分水岭的方法,在图形用户界面中实现,该方法对功能图像进行阈值无关的分割,以支持rTMS目标定位。作为概念验证,我们重点研究了默认模式网络中与阿尔茨海默病相关的回路,将后扣带皮层(PCC)指定为深部有效区,将下顶叶(IPL)指定为浅表刺激目标。在21名健康参与者的队列中,与传统的基于阈值的面罩约束峰策略进行定量比较,发现PCC峰的一致性很高,但IPL目标的中位空间位移为6.0 mm (95% CI: 0.0-12.7 mm)。定性的例子进一步说明分水岭分割减少了邻近功能簇的偏差、图谱边界的截断以及多个局部峰之间的模糊性。通过将目标定义与用户选择的阈值解耦,并将方法打包到一个可访问的工具箱中,该框架为个性化fmri引导的rTMS提供了一个通用的工具。
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引用次数: 0
Divergent neural mechanisms of reward processing and cognitive control in non-substance and substance addiction: A meta-analytic perspective 非物质成瘾和物质成瘾中奖赏加工和认知控制的不同神经机制:一个元分析的视角。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121735
Qi Li , Mei Du , Jing Xiao , Ting Li , Kesong Hu , Song Tu , Xun Liu , Lingxiao Wang , Weine Dai
Addiction disorders, encompassing non-substance and substance addiction, are a prevalent and devastating class of mental illnesses. The dual-system theory of addiction posits that abnormal processing in the brain's reward and control systems underlies addictive behaviors. However, challenges in previous neuroimaging studies on addiction, including small sample sizes, subjective narrative reviews, and inconsistent findings, have limited the comprehensive clarification of the neural mechanisms underlying addiction. This meta-analysis addresses these limitations by integrating neuroimaging data from multiple studies. Here, the random-effects activation likelihood estimation (ALE) method was applied to systematically synthesize data to elucidate the neural mechanisms of reward processing and cognitive control in non-substance and substance addiction. The study revealed that individuals with non-substance addiction presented increased dorsal anterior cingulate cortex (dACC) and caudate activation during cue reactivity, enhanced putamen and globus pallidus responses to non-specific rewards, and no significant group differences in cognitive control tasks. In contrast, substance addiction was found to be characterized by heightened activation in the rostral anterior cingulate cortex (rACC), ventromedial prefrontal cortex (vmPFC) and putamen during cue reactivity, accompanied by reduced responses of the nucleus accumbens (NAc) to non-specific rewards and reduced activation in the inferior parietal lobule (IPL) during cognitive-control tasks. These findings not only reveal a potential "motivation-control equilibrium" mechanism in non-substance addiction but also support the dual-system framework for substance addiction, providing neurobiological targets for precision interventions.
成瘾障碍,包括非物质成瘾和物质成瘾,是一种普遍和毁灭性的精神疾病。成瘾的双系统理论认为,大脑奖励和控制系统的异常处理是成瘾行为的基础。然而,以往关于成瘾的神经影像学研究面临的挑战,包括小样本量、主观叙述性评论和不一致的发现,限制了对成瘾神经机制的全面澄清。本荟萃分析通过整合来自多个研究的神经影像学数据来解决这些局限性。本研究采用随机效应激活似然估计(ALE)方法系统综合数据,探讨非物质和物质成瘾中奖赏加工和认知控制的神经机制。研究发现,非物质成瘾个体在线索反应过程中,背前扣带皮层(dACC)和尾状核激活增加,壳核和苍白球对非特异性奖励的反应增强,在认知控制任务中,组间差异不显著。相比之下,物质成瘾的特征是线索反应时,吻侧前扣带皮层(rACC)、腹内侧前额叶皮层(vmPFC)和壳核的激活增强,同时在认知控制任务中,伏隔核(NAc)对非特异性奖励的反应减弱,下顶叶(IPL)的激活减弱。这些发现不仅揭示了非物质成瘾中潜在的“动机-控制平衡”机制,而且支持了物质成瘾的双系统框架,为精准干预提供了神经生物学靶点。
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引用次数: 0
Added value of quantitative [18F]FDG-PET analysis in MRI-negative epilepsy: A simulation-based study using realistic ground-truths 定量[18F]FDG-PET分析在mri阴性癫痫中的附加价值:一项基于模拟的研究。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121740
Andrés Perissinotti , Arnau Farré-Melero , Francisco J. López-González , María del Carmen Mallón-Araujo , Julia Cortés , Xavier Setoain , Andrea Fritsch , Katherine Quintero , Angela Esteban , Silvia Morbelli , Matteo Bauckneht , Alberto Miceli , Aida Niñerola-Baizán , Pablo Aguiar , Jesús Silva-Rodríguez

Purpose

Quantitative analysis of [18F]FDG-PET images is expected to improve the localization of foci in non-lesional epilepsy. However, the lack of reliable gold standards has prevented a comprehensive evaluation of the potential improvements derived from this approach. Here, we aimed at evaluating these improvements using a novel dataset of realistic simulated studies.

Methods

125 realistic simulated [18F]FDG-PET studies were generated (100 with synthetic hypometabolic foci (HF) with different levels of identification complexity and 25 controls). Eight nuclear physicians performed visual rating (VR) and were given the chance to modify their assessment after reviewing quantitative results (QR). Physicians reported the presence/absence of HF, HF location, and diagnostic confidence (DC) before/after QR. Success Rate (SR) of physician’s assessments was analyzed, as well as inter-rater agreement and changes in DC.

Results

In 31.3% of the assessments, physicians changed their interpretation after QR, with SR increasing from 16.3% to 61.0% in these cases. Overall SR improved from 49.5% in VR to 63.5% in QR, mostly on pathologic cases (relative improvement: +34.0%). Improvement was found at each level of HF identification complexity and was higher for challenging cases (relative improvement: +71.8%). Inter-rater agreement also improved significantly (0.273 vs. 0.475, p < 0.001). QR also significantly increased DC ("High" confidence of 8.1% on VR vs. 38.5% on QR, p < 0.001).

Conclusion

Quantitative analysis significantly improved diagnostic accuracy, confidence and inter-rater agreement, especially in challenging cases. Furthermore, this work introduces a novel methodological approach using simulated MRI-negative epilepsy [18F]FDG-PET images for realistic quantification research studies.
目的:定量分析[18F]FDG-PET图像有望改善非病变性癫痫的病灶定位。然而,由于缺乏可靠的黄金标准,因此无法对这种方法可能带来的改进进行全面评价。在这里,我们的目的是评估这些改进使用现实模拟研究的新数据集。方法:生成125个真实模拟[18F]FDG-PET研究(100个具有不同识别复杂程度的合成低代谢灶(HF), 25个对照组)。8名核内科医生进行了视觉评分(VR),并有机会在评估定量结果(QR)后修改他们的评估。医生在QR前后报告HF的存在/不存在、HF的位置和诊断置信度(DC)。分析医生评估的成功率(SR)、评分者之间的一致性和DC的变化。结果:在31.3%的评估中,医生在QR后改变了他们的解释,在这些病例中,SR从16.3%增加到61.0%。总体SR从VR的49.5%提高到QR的63.5%,主要是病理病例(相对改善:+34.0%)。每个级别的HF识别复杂性都有所改善,并且对于具有挑战性的病例有更高的改善(相对改善:+71.8%)。结论:定量分析显著提高了诊断的准确性、置信度和评分间一致性,特别是在具有挑战性的病例中。此外,这项工作引入了一种新的模拟mri阴性癫痫[18F]FDG-PET图像的方法,用于现实的量化研究。
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引用次数: 0
Neural-linguistic analysis for Alzheimer’s detection: A deep learning approach informed by cognitive neuroscience 阿尔茨海默病检测的神经语言分析:认知神经科学的深度学习方法
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121739
Jianhui Lv , Shalli Rani , Keqin Li , Ning Liu
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting language networks and speech production pathways in the brain. Patients demonstrate symptoms including aphasia, reduced syntactic complexity, and diminished verbal fluency that reflects underlying neural pathology in language-related cortical areas. Current detection methods rely on resource-intensive neuroimaging, invasive biomarker sampling, and extensive neuropsychological testing, creating substantial barriers to early diagnosis. While researchers have explored using acoustic features, paralinguistic markers, and text-based features for AD detection, existing approaches face fundamental limitations: traditional acoustic methods fail to capture semantic-cognitive content, text transcription is labor-intensive, and automatic speech recognition quality suffers due to pronunciation variations and cognitive impairments in elderly populations. This paper introduces cognitive acoustic symbolic transformation for ALzheimer’s (COASTAL), a neurobiologically-inspired framework that models hierarchical speech processing pathways. COASTAL transforms acoustic patterns into discrete symbolic elements through a specialized transformation module before applying contextual analysis that mirrors prefrontal-temporal language networks. Evaluated on the ADReSSo corpus, COASTAL achieved 70.42% accuracy, outperforming established baselines by 5.63%. Integration with complementary self-supervised approaches through hierarchical fusion improved performance to 77.46%. Analysis revealed that preserving fine-grained temporal features through shallower transformation architecture significantly enhanced diagnostic accuracy, aligning with neuropsychological evidence that subtle timing patterns in speech provide sensitive markers of cognitive decline.
阿尔茨海默病(AD)是一种进行性神经退行性疾病,它会破坏多个领域的认知功能,特别是影响大脑中的语言网络和语言产生途径。患者表现出的症状包括失语、句法复杂性降低和语言流畅性下降,这反映了语言相关皮质区域潜在的神经病理学。目前的检测方法依赖于资源密集的神经成像、侵入性生物标志物采样和广泛的神经心理学测试,这对早期诊断造成了很大的障碍。虽然研究人员已经探索了使用声学特征、副语言标记和基于文本的特征来检测AD,但现有的方法面临着根本性的局限性:传统的声学方法无法捕获语义认知内容,文本转录是劳动密集型的,自动语音识别质量受到老年人发音变化和认知障碍的影响。本文介绍了阿尔茨海默氏症(COASTAL)的认知声学符号转换,这是一个受神经生物学启发的框架,它模拟了分层语音处理途径。COASTAL通过专门的转换模块将声学模式转换为离散的符号元素,然后应用反映前额叶-颞叶语言网络的上下文分析。在addresso语料库上进行评估,COASTAL的准确率达到70.42%,比建立的基线高出5.63%。通过层次融合与互补的自监督方法相结合,将绩效提高到77.46%。分析显示,通过较浅的转换架构保留细粒度的时间特征显著提高了诊断的准确性,这与神经心理学证据一致,即言语中细微的时间模式提供了认知衰退的敏感标记。
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引用次数: 0
Multimodal quantitative MRI reveals age-related biophysical alterations in the human brain across the adult lifespan 多模态定量MRI揭示了人类大脑在整个成人寿命中与年龄相关的生物物理变化
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121742
Xiang Chen , Zhiyuan Yuan , Jie Zhang , Xiao-Yong Zhang
Understanding how brain tissue properties change with age is crucial for identifying early markers of neurodegenerative disease. However, the biophysical alterations and their molecular bases remain poorly understood. Quantitative MRI (qMRI) offers non-invasive insight into brain tissue properties. In this study, we employed three qMRI metrics—quantitative susceptibility mapping (QSM), longitudinal relaxation rate (R1), and effective transverse relaxation rate (R2*)—to investigate age-related brain changes across the adult lifespan. Applying linear and nonlinear modeling, we observed distinct patterns of cross-sectional age-related biophysical alterations (early, late, and inverted-U patterns) in the human brain. Predictive modeling identified subcortical and thalamic regions as key contributors to age estimation. Integrating transcriptomic data revealed that these imaging-derived patterns spatially co-localize with gene expression signatures enriched in neurodevelopmental and neurodegenerative pathways. Our study advances current understanding by integrating multimodal qMRI age-related patterns and transcriptomics, uncovering distinct aging patterns, candidate age-sensitive imaging features that warrant further validation, and their potential molecular underpinnings.
了解脑组织特性如何随年龄变化对于识别神经退行性疾病的早期标志物至关重要。然而,生物物理变化及其分子基础仍然知之甚少。定量MRI (qMRI)提供了对脑组织特性的非侵入性洞察。在这项研究中,我们使用了三个qMRI指标——定量易感性映射(QSM)、纵向弛豫率(R1)和有效横向弛豫率(R2*)——来研究成人一生中与年龄相关的大脑变化。应用线性和非线性模型,我们观察到人类大脑中与年龄相关的横断面生物物理改变的不同模式(早期、晚期和倒u型模式)。预测模型确定皮层下和丘脑区域是年龄估计的关键因素。整合转录组学数据显示,这些成像衍生模式在空间上与神经发育和神经退行性通路中丰富的基因表达特征共定位。我们的研究通过整合多模态qMRI年龄相关模式和转录组学,揭示了不同的衰老模式,候选年龄敏感成像特征,需要进一步验证,以及它们潜在的分子基础,从而推进了目前的理解。
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引用次数: 0
Functional brain-to-brain transformation without shared stimuli 没有共享刺激的功能性脑对脑转换
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121741
Navve Wasserman, Roman Beliy, Roy Urbach, Michal Irani
Combining Functional MRI (fMRI) data across different subjects and datasets is crucial for many neuroscience tasks. Relying solely on shared anatomy for brain-to-brain mapping is inadequate. Existing functional transformation methods thus depend on shared stimuli across subjects and fMRI datasets, which are often unavailable. In this paper, we propose an approach for computing functional brain-to-brain transformations without any shared data (stimuli), a feat not previously achieved in functional transformations. This presents exciting research prospects for merging and enriching diverse datasets, even when they involve distinct stimuli that were collected using different fMRI machines of varying resolutions (e.g., 3-Tesla and 7-Tesla). Our approach combines brain-to-brain transformation with Image-to-fMRI encoders, thus enabling to learn functional transformations on visual stimuli to which subjects were never exposed. Furthermore, we demonstrate the applicability of our method for improving Image-to-fMRI encoding of subjects scanned on older low-resolution 3T fMRI datasets, by using a new high-resolution 7T fMRI dataset (scanned on different subjects and different stimuli). Altogether, we provide a general framework for functional alignment across individuals and datasets without any shared stimuli, opening new possibilities for integrating and leveraging the diversity of many existing fMRI collections.
结合不同学科和数据集的功能磁共振成像(fMRI)数据对于许多神经科学任务至关重要。仅仅依靠共享的解剖结构来绘制脑对脑图是不够的。因此,现有的功能转换方法依赖于受试者之间的共享刺激和fMRI数据集,而这些数据通常不可用。在本文中,我们提出了一种在没有任何共享数据(刺激)的情况下计算功能性脑到脑转换的方法,这是以前在功能转换中未实现的壮举。这为合并和丰富不同数据集提供了令人兴奋的研究前景,即使它们涉及使用不同分辨率的不同fMRI机器收集的不同刺激(例如,3-特斯拉和7-特斯拉)。我们的方法将脑到脑转换与图像到功能磁共振成像编码器相结合,从而能够学习受试者从未接触过的视觉刺激的功能转换。此外,我们通过使用新的高分辨率7T fMRI数据集(在不同受试者和不同刺激上扫描),证明了我们的方法在改进在旧的低分辨率3T fMRI数据集上扫描的受试者的图像到功能磁共振成像编码方面的适用性。总之,我们为跨个体和数据集的功能校准提供了一个通用框架,而无需任何共享刺激,为整合和利用许多现有fMRI集合的多样性开辟了新的可能性。
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引用次数: 0
Motor-based prediction during preparation of hand movement modulates auditory processing in two distinct directions 手部运动准备过程中基于运动的预测在两个不同的方向上调节听觉加工。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-20 DOI: 10.1016/j.neuroimage.2026.121744
Xinjing Li , Xiaodan Zheng , Yuchunzi Wu , Hao Zhu , Yunying Shu , Ruiqi Tong , Xing Tian
Differentiating self-generated from externally induced sounds is crucial for survival. Predictions can be generated based on action-outcome contingency and suppress neural responses to sensory reafference for distinguishing the origin of stimuli. The action-outcome contingency can be flexible or relatively fixed (e.g., keypress could trigger various sounds vs. articulatory gestures generate corresponding speech sounds) and can be available during the entire course of action (including stages of intention, preparation and execution). Are motor-based predictions created equally based on different types of action-outcome contingency and during distinct stages of action? We conducted three EEG experiments to determine how motor preparation modulates auditory processing using a delayed keypress paradigm in which participants prepared to press a key to trigger a sound without knowing what key to press. In Experiment 1, keypress preparation showed overall enhanced N1 responses (∼100 ms), largest for syllables, but did not reveal any suppression effects. Experiment 2 replicated N1 enhancement and showed significant P2 suppression (∼200 ms) in response to auditory syllables, when participants were pianists who had extensive keypress-sound mapping experience. Experiment 3, when pianists were in their unfamiliar pairing of lab keys and familiar piano tones, again showed N1 enhancement, but the P2 suppression was absent. Together, these results suggest that preparatory motor prediction in an optional mapping can influence auditory processing in multiple directions and motivate a two-stage gain-to-attenuation hypothesis that may depend on the precision (reliability) of action-outcome associations.
区分自己产生的声音和外界诱导的声音对生存至关重要。预测可以产生基于行动-结果偶然性和抑制神经反应的感觉参照区分刺激的来源。行动-结果偶然性可以是灵活的或相对固定的(例如,按键可以触发各种声音,而发音手势产生相应的语音),并且可以在整个行动过程中使用(包括意图,准备和执行阶段)。基于运动的预测是否同样基于不同类型的行动-结果偶然性和不同的行动阶段?我们进行了三个脑电图实验,以确定运动准备如何调节听觉处理,使用延迟按键范式,参与者准备按下一个键来触发一个声音,而不知道该按哪个键。在实验1中,按键预处理显示出总体上增强的N1反应(约100ms),其中对音节的反应最大,但没有显示出任何抑制作用。实验2重复了N1增强,并显示了P2对听觉音节的显著抑制(~ 200 ms),当参与者是具有丰富的按键声音映射经验的钢琴家时。实验3中,当钢琴家处于不熟悉的实验键和熟悉的钢琴音调时,再次显示N1增强,但P2抑制不存在。总之,这些结果表明,可选映射中的预备运动预测可以在多个方向上影响听觉加工,并激发一个两阶段增益-衰减假设,该假设可能取决于动作-结果关联的精度(可靠性)。
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引用次数: 0
Differential representations of spatial environments in mPFC and hippocampus underpinning flexible navigation mPFC和海马空间环境的差异表征支持灵活导航。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-19 DOI: 10.1016/j.neuroimage.2026.121736
Paulina Maxim , Thackery I. Brown
Studies on spatial schemas have primarily derived from rodent literature examining the development of task representations in the animal’s brain. However, traditional models of schema in humans have largely (although not exclusively) been non-navigation-based, with theoretical frameworks not always aligning with data from rodent studies using navigational contexts. Both literatures support that schemas accelerate learning of novel associations when prior associations already exist. However, theories vary in how adversarial hippocampus and ventromedial prefrontal cortex (vmPFC) functions are for schema memory (despite intimate anatomical connections). Critically, cognitive maps, as a simple form of schema, are used for planning and decision-making, not just learning. Extant literature suggests there may be different stages of goal-directed navigation that are more demanding on hippocampal mechanisms than others (since planning and online decisions may differentially tax inference from what has previously been learned about this and “similar” environments) and demands may differ further depending on how closely-aligned routes are with prior navigational experiences in the environment. Such alignment may also influence how dissociable hippocampal mechanisms are from mPFC correlates of performance. Using desktop virtual reality, fMRI, and targeted region of interest analyses, findings from 19 healthy young adults demonstrate 1) functional differences between anterior and posterior subdivisions of vmPFC (which have been previously tied to schema processing and navigation), with significant differences between these subregions in how they process navigation stages and explain individual differences in navigation behavior. 2) Representational analyses demonstrate broad agreement in coding between the hippocampus and posterior mPFC, while anterior mPFC may support navigation through more generalized levels of processing.
空间图式的研究主要来源于啮齿类动物研究任务表征在动物大脑中的发展的文献。然而,人类图式的传统模型在很大程度上(尽管不是完全)是非基于导航的,其理论框架并不总是与使用导航上下文的啮齿动物研究数据一致。两篇文献都支持图式在已有关联的情况下加速新关联的学习。然而,关于海马体和腹内侧前额叶皮层(vmPFC)在图式记忆中的对抗性功能(尽管有密切的解剖联系),理论各不相同。关键是,认知地图作为图式的一种简单形式,用于规划和决策,而不仅仅是学习。现有文献表明,目标导向导航的不同阶段可能比其他阶段对海马体机制的要求更高(因为计划和在线决策可能会根据先前对该环境和“类似”环境的了解进行不同的推理),并且需求可能会进一步不同,这取决于路线与先前环境中的导航经验的紧密程度。这种排列也可能影响与表现相关的mPFC的可解离海马机制。利用桌面虚拟现实、功能磁共振成像和目标兴趣区域分析,来自19名健康年轻人的研究结果表明:1)vmPFC前部和后部之间的功能差异(之前与图式处理和导航有关),这些子区域在处理导航阶段和解释导航行为的个体差异方面存在显著差异。2)表征分析表明海马和后侧mPFC之间的编码广泛一致,而前侧mPFC可能通过更普遍的加工水平支持导航。
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引用次数: 0
ERP correlates of semantic inconsistencies in deepfakes 深度造假中语义不一致性的ERP关联。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-01-16 DOI: 10.1016/j.neuroimage.2026.121727
Eliana Monahhova , Alexandra Morozova , Dimitri Bredikhin , Julia Gorodnicheva , Amir Bekim , Anna Shestakova , Vasily Klucharev
Advances in deepfake technology raise concerns about disinformation spread. Novel deepfake technologies make it increasingly difficult to distinguish between real and fake media content. The current study investigated how speakers’ credibility, the participants’ traits and attitudes may influence the brain processing of audio deepfakes arguing for and against COVID-19 vaccination. We analyzed the electroencephalograms (EEGs) of 61 participants who supported or opposed COVID-19 vaccination. The participants were exposed to audio deepfakes portraying two speakers—a prominent medical doctor (pro-vaccine advocate) or a prominent COVID-19 dissident (anti-vaccine advocate)—making statements that were congruent or incongruent with their publicly known stances. Сritical words that contradicted the medical doctor's (pro-vaccine advocate) public opinion elicited a stronger delayed N400-like response with a latency of 500–750 ms compared to the critical words that matched his public opinion. We observed no similar effect for the critical words of the popular actress (anti-vaccine advocate). The speaker's credibility was significantly predicted by the amplitude of the N400 component to critical words that contradicted speakers’ public opinion, while participants’ intentions to share deepfakes were predicted by their neural responses to critical words that matched speakers’ public opinion. Our results do not only support previous behavioral findings that information is differently processed depending on source credibility but link them to the brain mechanisms of semantic processing of deepfakes.
深度造假技术的进步引发了人们对虚假信息传播的担忧。新颖的深度造假技术使得区分真实和虚假的媒体内容变得越来越困难。目前的研究调查了说话者的可信度、参与者的特征和态度如何影响大脑对支持和反对COVID-19疫苗接种的音频深度伪造的处理。我们分析了61名支持或反对COVID-19疫苗接种的参与者的脑电图(eeg)。参与者被暴露在音频深度伪造中,描绘了两位演讲者——一位著名的医生(支持疫苗的倡导者)或一位著名的COVID-19持不同政见者(反对疫苗的倡导者)——发表与他们公开立场一致或不一致的言论。Сritical与医生(支持接种疫苗)的公众意见相矛盾的词比与他的公众意见相匹配的批评性词引起了更强的延迟n400样反应,延迟时间为500-750毫秒。我们对著名女演员(反疫苗倡导者)的批评性话语没有观察到类似的效果。演讲者的可信度可以通过N400分量的振幅来预测,而参与者分享深度造假的意图可以通过他们对与演讲者的公众观点相匹配的关键词汇的神经反应来预测。我们的研究结果不仅支持先前的行为研究结果,即信息的处理方式取决于来源的可信度,而且将它们与深度伪造的语义处理的大脑机制联系起来。
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