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Rapid engagement of salience and prefrontal systems during emotional processing in children: An MEG study 儿童情绪处理过程中显著性和前额叶系统的快速参与:一项脑磁图研究。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI: 10.1016/j.neuroimage.2026.121806
Ioannis Ntoumanis , Mally Townsend , Crystal M. Cooper , Christos Papadelis
Children’s ability to process emotional information is central for social development and for understanding risk factors for affective disorders. Prior neuroimaging studies have identified brain systems underlying emotional processing, but most have relied on functional MRI, which cannot capture rapid neural dynamics. Moreover, these studies utilized emotional stimulus sets with outdated, adult-focused content, which may not effectively engage children, thereby reducing sensitivity to developmental effects. Here, we used magnetoencephalography (MEG) to examine the spatiotemporal dynamics of emotional processing in children and adolescents. Fifty-seven participants viewed pleasant, unpleasant, and neutral pictures from the Nencki Affective Picture System (NAPS), a recent database with child-appropriate content. Source-reconstructed responses were analysed using cluster-based permutation tests. Both pleasant and unpleasant pictures elicited stronger activity than neutral ones in salience and prefrontal regions, including the insula and orbitofrontal cortex, as early as 50–100 ms. Unpleasant pictures evoked stronger and more sustained activity than pleasant pictures in salience and default mode network regions, consistent with negativity bias. Finally, developmental analyses revealed that younger children exhibited greater medial prefrontal response amplitude to pleasant than to unpleasant pictures between 650–700 ms post-stimulus, whereas older adolescents showed greater medial prefrontal response amplitude to unpleasant than to pleasant pictures during the same time window. Overall, these results suggest that children rapidly differentiate emotional from neutral input, prioritize negative information in salience and default mode network systems, and that age influences emotional processing in prefrontal and default mode network regions. Our findings clarify the timing of affective brain responses across development and inform pathways of risk for affective disorders.
儿童处理情感信息的能力对社会发展和理解情感障碍的风险因素至关重要。先前的神经成像研究已经确定了情绪处理背后的大脑系统,但大多数都依赖于功能性核磁共振成像,无法捕捉快速的神经动力学。此外,这些研究使用了过时的、以成人为中心的内容的情感刺激集,这可能无法有效地吸引儿童,从而降低了对发展影响的敏感性。在此,我们使用脑磁图(MEG)来研究儿童和青少年情绪加工的时空动态。57名参与者观看了来自Nencki情感图片系统(nap)的愉快的、不愉快的和中性的图片,这是一个最新的数据库,包含适合儿童的内容。使用基于聚类的排列测试分析源重构响应。在50-100毫秒内,愉快和不愉快的图片都比中性图片在突出区和前额叶区(包括脑岛和眼窝额叶皮质)引发了更强的活动。在显著性和默认模式网络区域,令人不快的图片比令人不快的图片引起的活动更强、更持久,这与负性偏见一致。最后,发育分析显示,在刺激后650-700 ms,年幼的儿童对愉快图像的内侧前额叶反应幅度大于对不愉快图像的内侧前额叶反应幅度,而在同一时间窗内,年龄较大的青少年对不愉快图像的内侧前额叶反应幅度大于对愉快图像的内侧前额叶反应幅度。总的来说,这些结果表明儿童迅速区分情绪和中性输入,在显着和默认模式网络系统中优先考虑负面信息,并且年龄影响前额叶和默认模式网络区域的情绪加工。我们的研究结果阐明了情感大脑反应在整个发育过程中的时间,并为情感障碍的风险途径提供了信息。
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引用次数: 0
Unmasking the bias: Can diffusion-weighted imaging reliably assess glymphatic function in awake and anesthetized brain? 揭露偏见:弥散加权成像能可靠地评估清醒和麻醉大脑的淋巴功能吗?
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.neuroimage.2026.121761
Ryszard Stefan Gomolka , Antonio Ladrón-de-Guevara , Søren Grubb , Lydiane Hirschler , Isabelle Strom , Pia Weikop , Matthias van Osch , Maiken Nedergaard , Yuki Mori
This study investigated whether magnetic resonance (MR) diffusivity parameters derived from diffusion-weighted imaging (DWI) can serve as biomarkers of glymphatic function in awake and anesthetized mice. Spectral apparent diffusion coefficient (ADC) analysis, obtained using an inverse Laplace transform, revealed that both Isoflurane (ISO) and Ketamine/Xylazine (K/X) anesthesia reduced the magnitude and range of diffusivities associated with interstitial fluid space (≤1 µm²/ms) compared with the awake state. Perfusion-related diffusivities (20–80 µm²/ms) increased under ISO but decreased under K/X. Monoexponential ADC and biexponential intravoxel incoherent motion (IVIM) modeling showed that ISO dose-dependently elevated, while K/X reduced, both slow and fast diffusivities across the brain. Dynamic contrast-enhanced MRI (DCE-MRI) indicated intermediate glymphatic influx in awake mice relative to both anesthetic conditions, without regional correlation to DWI-derived parameters. Perfusion micro–computed tomography (µCT) further demonstrated that ADC and IVIM metrics correlated regionally with mean transit time, suggesting a confounding by cerebral blood flow (CBF). Two-photon microscopy confirmed anesthesia-induced changes in cortical microvessel diameters consistent with perfusion alterations. Collectively, these findings indicate that MR diffusivity measures are strongly influenced by state-dependent physiological changes, and in particular perfusion. This represents an important limitation that warrants caution when using DWI to compare extracellular space, interstitial fluid flow, or glymphatic activity across different physiological or anesthetic states. Therefore, although technically challenging, we suggest that DWI studies aimed at assessing glymphatic or interstitial dynamics should be performed in awake conditions to minimize variability and anesthesia-related perfusion confounds across studies.
本研究探讨了由扩散加权成像(DWI)获得的磁共振(MR)扩散系数参数是否可以作为清醒和麻醉小鼠淋巴功能的生物标志物。利用拉普拉斯逆变换获得的光谱表观扩散系数(ADC)分析显示,与清醒状态相比,异氟醚(ISO)和氯胺酮/噻嗪(K/X)麻醉均降低了与间质液空间相关的扩散系数的大小和范围(≤1 μ m²/ms)。灌注相关扩散系数(20-80µm²/ms)在ISO下增加,但在K/X下下降。单指数ADC和双指数体内非相干运动(IVIM)模型显示,ISO剂量依赖性升高,而K/X降低,慢速和快速脑扩散率。动态对比增强MRI (DCE-MRI)显示,相对于两种麻醉状态,清醒小鼠的淋巴内流处于中等水平,与dwi衍生参数没有区域相关性。灌注微计算机断层扫描(µCT)进一步表明,ADC和IVIM指标与平均传输时间有区域相关性,提示受脑血流量(CBF)的影响。双光子显微镜证实麻醉引起的皮质微血管直径变化与灌注改变一致。总的来说,这些发现表明MR扩散率测量受到状态依赖性生理变化,特别是灌注的强烈影响。这是一个重要的局限性,在使用DWI比较不同生理或麻醉状态下的细胞外间隙、间质液流动或淋巴活性时需要谨慎。因此,尽管在技术上具有挑战性,但我们建议在清醒状态下进行旨在评估淋巴或间质动力学的DWI研究,以尽量减少研究间的变异性和麻醉相关灌注混淆。
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引用次数: 0
Efficient Whole-Brain Quantitative Magnetization Transfer Imaging at 3T Using Segmented EPI Readout with Variable Power Magnetization Transfer Pulses (EP-vpMT) 利用分段EPI读数和可变功率磁化转移脉冲(EP-vpMT)在3T下进行高效全脑定量磁化转移成像。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.neuroimage.2025.121630
Se-Hong Oh , Ken E. Sakaie , Gawon Lee , Katherine A. Koenig , Devon S Conway , Sarah M Planchon , Daniel Ontaneda , Stephen E. Jones , Mark J. Lowe
Quantitative magnetization transfer (qMT) imaging is sensitive to myelin-related macromolecular content and brain microstructure but is limited by long scan times. We present a fast, SAR-efficient qMT technique using a segmented echo-planar imaging readout with variable power MT preparation (EP-vpMT).
EP-vpMT was implemented at 3T (1.5×1.5×4.0 mm³ voxels; 9 µL) using a 3D segmented EPI readout with modulated MT RF pulses to reduce SAR while preserving contrast. Pseudo bound pool fraction (pseudo-BPF) maps were obtained from healthy participants. Consistency with pseudo-BPF derived from conventional GRE-MT and repeatability was subject to Bland-Altman analysis. Multiple sclerosis (MS) patients were examined at 3T and at 7T (2.0 mm isotropic voxels; 8 µL) to explore feasibility for assessing tissue integrity and for application at ultra-high field.
EP-vpMT achieved whole-brain qMT in 6 min 25 sec, reducing scan time by 76% compared to GRE-based qMT (26 min 20 sec) while maintaining similar SAR levels. Strong agreement was observed between methods, and test-retest reliability showed minimal bias with 95% limits of agreement within a clinically negligible range. In MS patients, EP-vpMT delineated lesions at 3T and at 7T.
EP-vpMT enables fast qMT imaging at 3T with strong agreement with conventional methods. Its ability to detect MS lesions and to translate to ultra-high field MRI supports future use for assessing myelin-related macromolecular content.
定量磁化转移(qMT)成像对髓磷脂相关大分子含量和脑微观结构敏感,但受长扫描时间的限制。我们提出了一种快速,sar高效的qMT技术,使用分段回波平面成像读出可变功率MT制备(EP-vpMT)。EP-vpMT在3T (1.5×1.5×4.0 mm³体素;9µL)下实现,使用具有调制MT RF脉冲的3D分割EPI读出来降低SAR,同时保持对比度。从健康参与者获得伪绑定池分数(伪bpf)图。与常规GRE-MT伪bpf的一致性和可重复性采用Bland-Altman分析。多发性硬化症(MS)患者在3T和7T (2.0 mm各向同性体素;8µL)时进行检查,以探索评估组织完整性和超高场应用的可行性。EP-vpMT在6分25秒内实现了全脑qMT,与基于gre的qMT(26分20秒)相比,扫描时间减少了76%,同时保持了相似的SAR水平。两种方法之间观察到强烈的一致性,测试-重测信度显示最小偏差,在临床可忽略的范围内95%的一致性限制。在MS患者中,EP-vpMT在3T和7T时描绘病变。EP-vpMT能够在3T下快速qMT成像,与传统方法非常一致。其检测MS病变并转化为超高场MRI的能力支持未来用于评估髓磷脂相关大分子含量。
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引用次数: 0
Evaluating AI-aided approaches for 18F-FDG PET quantification: Indirect synthetic MR-based versus direct partial volume correction 评估人工智能辅助18F-FDG PET定量方法:间接合成mr与直接部分体积校正
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.neuroimage.2026.121756
Yu Jin Seol , Hye Bin Yoo , Eun Jin Yoon , Yu Kyeong Kim , Seongho Seo , Jae Sung Lee
Compatible deployment of AI-aided methods for PET quantification is an important prerequisite to maximizing their benefits. We focus on partial volume correction (PVC), which can substantially improve the precision of radiotracer uptake quantification in brain PET for intricate and atrophic regions. Conventional post-reconstruction PVC requires anatomical MR images that are often unavailable or of inadequate quality. We address this limitation by systematically evaluating two AI-aided strategies: (1) indirect PVC, which uses synthesized MR images for anatomical guidance, and (2) direct PVC, which predicts corrected PET images without anatomical processing. Multiple AI architectures were assessed under both strategies, using paired 18F-FDG PET + CT + MR datasets from multiple scanner sites. Indirect PVC consistently outperformed direct approaches across all tested architectures with the Denoising Diffusion Probabilistic Model yielding the best overall performance while preserving compatibility with standard PET processing pipelines. Both AI-aided approaches increased the utility of standalone 18F-FDG PET in clinical and research applications without requiring anatomical MR images. Indirect PVC showed advantages in transparency and performance for quantification in smaller anatomical regions, whereas direct PVC may be more suitable for rapid assessment in larger brain regions.
人工智能辅助PET定量方法的兼容部署是实现其效益最大化的重要前提。我们专注于部分体积校正(PVC),它可以大大提高脑PET对复杂和萎缩区域放射性示踪剂摄取定量的精度。传统的重建后PVC需要解剖磁共振图像,通常不可用或质量不足。我们通过系统评估两种人工智能辅助策略来解决这一限制:(1)间接PVC,使用合成的MR图像进行解剖指导;(2)直接PVC,在没有解剖处理的情况下预测校正后的PET图像。使用来自多个扫描仪站点的配对18F-FDG PET + CT + MR数据集,在两种策略下评估了多个人工智能架构。在所有测试的架构中,间接PVC的表现始终优于直接方法,采用去噪扩散概率模型,在保持与标准PET加工管道兼容性的同时,获得了最佳的整体性能。这两种人工智能辅助方法都增加了独立18F-FDG PET在临床和研究应用中的效用,而不需要高分辨率的MR图像。间接PVC在较小的解剖区域显示出透明度和量化性能的优势,而直接PVC可能更适合在较大的脑区域进行快速评估。
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引用次数: 0
Influence of cardiac phases on cortico-spinal excitability: Insights from input-output curves 心相对皮质-脊髓兴奋性的影响:来自输入-输出曲线的见解。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.1016/j.neuroimage.2026.121789
Paolo Di Luzio , Mauro Gianni Perrucci , Francesca Ferri , Marcello Costantini
Visceral signals, such as cardiac oscillations, are considered a significant source influencing ongoing cortical activity. Research has shown that perceptual and cognitive functions fluctuate with the heart cycle. Seminal studies proposed that upstream signals tied to cardiac contraction (i.e., systole) inhibit brain activity. However, a clear relationship between cardiac phases and cortical excitability, measured by motor-evoked potentials (MEPs) via transcranial magnetic stimulation (TMS), is not yet established.
To examine the link between cardiac signals and corticospinal excitability (CSE), we combined electrophysiological measures with TMS targeting the left motor cortex (lM1) in healthy individuals. Input-output (I/O) curves of MEPs were modelled relative to cardiac phases, assessing CSE variations between systole and diastole. We also investigated how different cardiac output affect MEP amplitudes on a trial-by-trial basis. Overall, I/O curves highlighted a greater inhibition of CSE during systoles, characterized by decreased MEP amplitudes at maximal stimulation intensities and a diminished corticomotor gain. Trial-by-trial assessment also indicated that MEPs amplitude may be negatively affected by the strength of cardiac output, indexed by the length of interbeat-intervals (IBIs).
These findings suggest that cardiac signals actively modulate brain excitability, which holds significant implications. Accounting for the cardiac cycle can reduce variability in TMS and electrophysiological studies, improving reproducibility. Clinically, aligning non-invasive brain stimulation or neurorehabilitation protocols with phases of higher excitability (e.g., diastole) may enhance treatment efficacy and motor recovery. More broadly, the results contribute to models of brain–body interaction and may provide a physiological marker of altered heart–brain coupling in clinical populations.
内脏信号,如心脏振荡,被认为是影响正在进行的皮层活动的重要来源。研究表明,感知和认知功能随着心脏周期而波动。开创性的研究提出,与心脏收缩(即收缩)相关的上游信号抑制了大脑活动。然而,通过经颅磁刺激(TMS)的运动诱发电位(MEPs)测量的心脏相和皮层兴奋性之间的明确关系尚未建立。为了研究心脏信号与皮质脊髓兴奋性(CSE)之间的联系,我们将电生理测量与针对健康人左运动皮质(lM1)的经颅磁刺激相结合。mep的输入-输出(I/O)曲线相对于心脏期进行建模,评估收缩期和舒张期的CSE变化。我们还在逐个试验的基础上研究了不同的心输出量如何影响MEP振幅。总的来说,I/O曲线突出了收缩期对CSE的更大抑制,其特征是在最大刺激强度下MEP振幅下降,皮质运动增益减少。逐个试验的评估还表明,心输出量的强度可能会对MEPs的幅度产生负面影响,心输出量以心跳间隔(ibi)的长度为指标。这些发现表明,心脏信号积极调节大脑兴奋性,这具有重要意义。考虑心脏周期可以减少经颅磁刺激和电生理研究的可变性,提高可重复性。在临床上,将非侵入性脑刺激或神经康复方案与高兴奋性(如舒张期)相结合可能提高治疗效果和运动恢复。更广泛地说,这些结果有助于建立脑-体相互作用的模型,并可能为临床人群中改变的心-脑耦合提供生理标记。
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引用次数: 0
Common multimodal neuroimaging mechanism of attention deficit hyperactivity disorder and sleep initiation difficulty in the developing brain 发育中大脑注意缺陷多动障碍和睡眠启动困难的常见多模态神经影像学机制。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-07 DOI: 10.1016/j.neuroimage.2026.121795
Yujuan Zu , Tao Pang , Lingxue Luo , Chao Liufu , Zixuan Xu , Wenqiang Li , Ying Qian , Luxian Lv , Suhua Chang

Background

Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. Studies indicate that 20–55 % of individuals with ADHD experience comorbid sleep disturbances, among which, sleep initiation difficulty (SID) is highly correlated with hyperactivity behaviors. However, the underlying neuroimaging mechanisms common to ADHD and sleep initiation difficulty remain poorly understood.

Methods

This study used multimodal neuroimaging data and ADHD, SID phenotype data from the ABCD Study (n = 11,868; 52.1 % male) to identify neuroimaging markers common to both conditions using linear regression. Then, these common neuroimaging features were analyzed across different ADHD trajectory groups, which were determined by latent class growth analysis (LCGA). Random-intercepts cross-lagged panel model (RI-CLPM) were further used to examine their longitudinal relationships.

Results

Inter-network connectivity between the dorsal attention network and default mode network (DMN-DAN) from rest-fMRI, specific cortico-striatal-thalamic circuits involving the right orbitofrontal cortex volume from brain structural imaging and several major white matter tracts were significantly associated with both ADHD symptoms and SID. These neuroimaging markers collectively mediated the relationship between ADHD and SID. Furthermore, three distinct ADHD trajectories were identified and showed different association pattern with neuroimaging features and lagged effects between ADHD and SID.

Conclusion

Through multimodal neuroimaging analyses of ADHD and SID, we identified common neural substrates, which mediated the effect of ADHD symptoms on SID, and exhibited distinct patterns across different ADHD trajectory subgroups. The results suggest that common neural architecture and its dynamic expression may underlie the neurobiological link between ADHD and SID.
背景:注意缺陷多动障碍(ADHD)是一种常见的神经发育障碍。研究表明,20-55%的ADHD患者存在共病性睡眠障碍,其中睡眠启动困难(SID)与多动行为高度相关。然而,ADHD和睡眠启动困难共同的潜在神经影像学机制仍然知之甚少。方法:本研究使用来自ABCD研究的多模式神经影像学数据和ADHD、SID表型数据(n=11,868, 52.1%为男性),使用线性回归识别两种情况共有的神经影像学标记。然后,通过潜在类生长分析(LCGA)确定不同ADHD轨迹组的这些常见神经影像学特征。随机截距交叉滞后面板模型(RI-CLPM)进一步检验其纵向关系。结果:休息-功能磁共振成像显示的背侧注意网络和默认模式网络(DMN-DAN)之间的网络间连通性、脑结构成像显示的涉及右眶额皮质体积的特定皮质-纹状体-丘脑回路以及几个主要白质束与ADHD症状和SID均显著相关。这些神经影像学标记共同介导ADHD和SID之间的关系。此外,我们确定了三种不同的ADHD轨迹,并显示出ADHD与SID之间不同的神经影像学特征和滞后效应的关联模式。结论:通过对ADHD和SID的多模态神经影像学分析,我们发现了共同的神经底物,它们介导了ADHD症状对SID的影响,并且在不同的ADHD轨迹亚组中表现出不同的模式。结果表明,共同的神经结构及其动态表达可能是ADHD和SID之间神经生物学联系的基础。
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引用次数: 0
Standardizing EEG preprocessing for cross-site integration - the CLEAN pipeline 面向跨站点集成的标准化脑电预处理——CLEAN管道。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-13 DOI: 10.1016/j.neuroimage.2026.121812
Adriana Böttcher , Paul Wendiggensen , Moritz Mückschel , Sven Hoffmann , Claudia Buss , Michael Kölch , Inga Körte , Shu-Chen Li , Volker Mall , Peter Marschik , Maximilian Pilhatsch , Veit Roessner , Saskia Rusche , Christian Beste
Electroencephalography (EEG) is a powerful tool for investigating neural processes underlying cognition and neuropsychiatric disorders. Yet, variability in EEG preprocessing strategies restricts reproducibility and data integration across study sites and laboratories, particularly in larger research consortia. This paper introduces the CLEAN-EEG preprocessing pipeline, designed to standardize data processing and documentation across multiple sites. The CLEAN pipeline is implemented in MATLAB using EEGLAB. It comprises three modular, script-based stages: main preprocessing (including down-sampling, filtering, line noise removal, and channel interpolation), independent component analysis preparation and decomposition with flexible options for artifact rejection or neural component extraction, and component exclusion with support for automated classification and dipole fitting. Emphasis is placed on transparency through comprehensive logging and quality-control plotting, as well as on minimizing rank reduction to preserve data suitability for advanced analyses such as source localization and connectivity modeling. By providing clear, adaptable recommendations while ensuring detailed documentation of every step, the CLEAN pipeline aims to harmonize EEG preprocessing in large-scale, multi-center studies. This open and reproducible approach facilitates high throughput analyses, supports the training of researchers, and enables the rigorous integration of neurophysiological data across study sites, study designs, and populations.
脑电图(EEG)是研究认知和神经精神疾病背后的神经过程的有力工具。然而,脑电图预处理策略的可变性限制了研究地点和实验室之间的再现性和数据整合,特别是在大型研究联盟中。本文介绍了CLEAN-EEG预处理管道,旨在标准化多站点的数据处理和文档。使用EEGLAB在MATLAB中实现了CLEAN管道。它包括三个模块化的,基于脚本的阶段:主要预处理(包括下采样,滤波,线噪声去除和通道插值),独立成分分析准备和分解,具有工件抑制或神经成分提取的灵活选项,以及支持自动分类和偶极子拟合的成分排除。通过全面的记录和质量控制绘图,重点放在透明度上,以及最小化等级降低,以保持数据适合高级分析,如源定位和连接建模。通过提供清晰,适应性强的建议,同时确保每个步骤的详细文档,CLEAN管道旨在协调大规模,多中心研究中的脑电图预处理。这种开放和可重复的方法促进了高通量分析,支持研究人员的培训,并使跨研究地点、研究设计和人群的神经生理学数据能够严格整合。
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引用次数: 0
Alpha-band temporal variability in the Fronto-parietal network facilitates active recovery from mental fatigue 额顶叶网络的α波段时间变异性促进精神疲劳的主动恢复。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-01 DOI: 10.1016/j.neuroimage.2026.121770
Maoqin Peng , Wei Zhao , Pengrui Li , Haokai Zhang , Liu Deng , Yun Qin , Tiejun Liu
Mental fatigue from prolonged cognitive tasks impairs performance, yet this decline is often non-linear. This suggests the brain engages active self-regulatory mechanisms to recover, though the neural basis of this recovery process remains unclear. We investigated this phenomenon using electroencephalography (EEG) during a continuous 120-minute boundary avoidance task. Behaviorally, we confirmed a non-linear performance curve that featured a significant recovery stage following an initial decline. The decline stage showed classic neural fatigue signatures, including increased delta and alpha power alongside reduced brain network efficiency. However, the recovery stage did not simply reverse these patterns. Instead, it involved a distinct increase in the temporal variability of alpha-band functional connectivity within the fronto-parietal network (FPN). We found that this heightened FPN variability, interacting with alpha power, directly predicted behavioral recovery. These findings expand our view of cognitive resilience. We propose that resilience is not merely passive resistance to fatigue but an active process of compensatory control driven by dynamic network flexibility. Thus, increased FPN variability likely serves as an intrinsic neural response that facilitates behavioral recovery.
长时间的认知任务造成的精神疲劳会损害表现,但这种下降往往是非线性的。这表明大脑参与了积极的自我调节机制来恢复,尽管这一恢复过程的神经基础尚不清楚。我们在连续120分钟的边界回避任务中使用脑电图(EEG)研究了这一现象。在行为上,我们确认了一条非线性性能曲线,该曲线在初始下降后出现了显著的恢复阶段。衰退阶段表现出典型的神经疲劳特征,包括δ和α功率增加以及大脑网络效率降低。然而,复苏阶段并没有简单地扭转这些模式。相反,它涉及额顶叶网络(FPN)中α波段功能连接的时间变异性的明显增加。我们发现这种增强的FPN可变性,与α能量相互作用,直接预测行为恢复。这些发现扩展了我们对认知弹性的看法。我们认为,弹性不仅仅是对疲劳的被动抵抗,而是一个由动态网络灵活性驱动的主动补偿控制过程。因此,增加的FPN可变性可能作为促进行为恢复的内在神经反应。
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引用次数: 0
Biphasic adaptation of gBOLD-CSF coupling during sleep deprivation reflects compensatory enhancement and temporal disruption in glymphatic function 睡眠剥夺时gBOLD-CSF耦合的双相适应反映了代偿性增强和淋巴功能的时间中断
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.neuroimage.2026.121769
Dai Zhang , Rong Wang , Liqin Zhou , Ke Zhou , Zhentao Zuo , Guochen Sun
Sleep deprivation (SD) significantly impacts brain function, particularly through disruption of the glymphatic system, an essential mechanism for cerebral metabolic waste clearance dependent on cerebrospinal fluid (CSF) dynamics. Recent advances link CSF flow to global brain activity, measurable via global blood-oxygenation-level-dependent (gBOLD) signals. However, how gBOLD-CSF coupling changes during prolonged wakefulness remains unclear. Using resting-state functional magnetic resonance imaging (rs-fMRI), we investigated how 36-hour sleep deprivation affects gBOLD-CSF coupling in healthy participants. We observed a significant transient increase in gBOLD-CSF coupling strength as sleep deprivation progressed, peaking after approximately 30 h of wakefulness. Importantly, changes in coupling strength correlated quantitatively with heightened subjective sleep pressure but not with vigilance performance. Furthermore, SD induced a temporary phase shift in CSF signal timing relative to gBOLD, indicating disrupted temporal coordination. These results suggest that SD triggers both a transient enhancement and a temporal instability in neuro-fluid coupling, reflecting a biphasic modulation of brain–CSF coupling linked to glymphatic-related dynamics. Our findings reveal novel compensatory adjustments within the glymphatic system during prolonged wakefulness, advancing our understanding of the physiological underpinnings linking sleep loss, metabolic clearance, and brain function, with potential implications for cognitive health and neurodegenerative disease risk.
睡眠剥夺(SD)会显著影响脑功能,特别是通过破坏淋巴系统,淋巴系统是脑代谢废物清除依赖脑脊液(CSF)动力学的重要机制。最近的研究进展将脑脊液流量与全球脑活动联系起来,通过全球血氧水平依赖(gBOLD)信号来测量。然而,在长时间的清醒状态下,bold - csf耦合如何变化仍不清楚。使用静息状态功能磁共振成像(rs-fMRI),我们研究了36小时睡眠剥夺如何影响健康参与者的gBOLD-CSF耦合。我们观察到,随着睡眠剥夺的进展,gBOLD-CSF耦合强度显着短暂增加,在大约30小时的清醒后达到峰值。重要的是,耦合强度的变化在定量上与主观睡眠压力升高相关,但与警觉性表现无关。此外,SD诱导了脑脊液信号时间相对于gBOLD的暂时相移,表明时间协调被破坏。这些结果表明,SD触发神经-流体耦合的短暂增强和时间不稳定,反映了与淋巴相关动力学相关的脑- csf耦合的双相调节。我们的研究结果揭示了长时间清醒时淋巴系统内的新型代偿调节,促进了我们对睡眠缺失、代谢清除和脑功能之间生理基础的理解,并对认知健康和神经退行性疾病风险具有潜在影响。
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引用次数: 0
Morphological and microstructural brain changes induced by cognitive training among non-demented participants: a systematic review and meta-analysis 认知训练在非痴呆参与者中引起的脑形态和微观结构变化:一项系统回顾和荟萃分析。
IF 4.5 2区 医学 Q1 NEUROIMAGING Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.neuroimage.2026.121767
Eszter Radics , Tímea Lázár , Marah Qussous , Szilvia Kiss-Dala , Marie Anne Engh , Péter Hegyi , Szabolcs Kéri , András Attila Horváth

Background

Cognitive training is a widely recommended technique for cognitive decline and has been shown to improve cognitive functioning. However, the findings on its effect on objective biomarkers of cognitive impairment are highly ambiguous. This study therefore aims to clarify how cognitive training alters brain structure and physiology.

Methods

A systematic search was conducted in three databases (MEDLINE, Embase, and CENTRAL) for eligible articles in November 2023. The search identified 6.134 articles from which 501 remained after title and abstract selection. Eight articles were identified that assessed the efficacy of cognitive training on objective parameters in non-demented adults. Mean differences (MD) and standardized mean differences (SMD of changes between pre- and post-training data were calculated using random-effects models.

Results

4767 records remained after the removal of duplicates. The selection process ended with 40 eligible articles for qualitative and 8 for quantitative analysis. We did not identify enough articles for the analysis of PET, functional MRI and fluid-based parameters. No significant differences were found in fractional anisotropy (MD=0.01, 95 % Confidence interval (CI): -0.01; 0.04) or in hippocampal volume (SMD=0.03, 95 % CI: -0.01; 0.06). Heterogeneity was high in all analyses.

Conclusions

Training groups showed no significant morphological or microstructural modifications compared to control conditions. The current results of objective markers are not powerful enough to recommend cognitive training as a preventive method. Future research should focus on proper randomization, elimination of baseline differences and use standardized techniques. The review was pre-registered with PROSPERO (ID: CRD42023485440).
背景:认知训练是一种被广泛推荐的治疗认知衰退的技术,并已被证明可以改善认知功能。然而,关于其对认知障碍客观生物标志物的影响的研究结果非常模糊。因此,这项研究旨在阐明认知训练如何改变大脑结构和生理。方法:在三个数据库(MEDLINE、Embase和CENTRAL)中系统检索2023年11月的符合条件的文章。检索出6.134篇文章,在标题和摘要选择之后,还剩下501篇。八篇文章评估了认知训练对非痴呆成年人客观参数的影响。采用随机效应模型计算训练前后数据变化的平均差异(MD)和标准化平均差异(SMD)。结果:去除重复后,保留了4767条记录。选择过程结束时,有40篇合格的文章进行定性分析,8篇进行定量分析。我们没有找到足够的文章来分析PET、功能性MRI和基于流体的参数。分数各向异性无显著差异(MD=0.01, 95%置信区间(CI): -0.01;0.04)或海马体积(SMD=0.03, 95% CI: -0.01; 0.06)。所有分析的异质性都很高。结论:与对照组相比,训练组没有明显的形态学或显微结构改变。目前客观标记的结果还不足以推荐认知训练作为预防方法。未来的研究应侧重于适当的随机化,消除基线差异和使用标准化技术。该综述在PROSPERO进行了预注册(ID: CRD42023485440)。
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NeuroImage
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