Brain Organoid and Systems Neuroscience Journal最新文献_第2页

Structural and functional covariance architecture of major depressive disorder: A meta-analytic structural equation modeling approach to primary neuroimaging analysis 重性抑郁症的结构和功能协方差结构：初级神经影像学分析的元分析结构方程建模方法

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-26 DOI: 10.1016/j.bosn.2025.04.008

Jodie P. Gray , Larry R. Price , Crystal Franklin , Cassandra D. Leonardo , Florence L. Chiang , Ki Sueng Choi , John Blangero , David C. Glahn , Helen S. Mayberg , Peter T. Fox

Neuroimaging studies of major depressive disorder (MDD) report widespread disease-attributed abnormalities of brain structure and function. However, reports from mass univariate-driven studies are inconsistent. The objective of this study was to determine if a neuroimaging-based biomarker of MDD, which can reliably distinguish patients from healthy controls, can be generated using multivariate measures. Multivariate modeling of MDD was achieved through generation of a meta-analytic node-and-edge network model of MDD in which disease impacted brain regions (nodes) and their covariances (edges) were quantified with structural equation modeling (SEM). SEM assessment and voxel-based morphometry (VBM) analysis in primary datasets served to test our hypothesis that multivariate analyses of MDD provide improved signal over mass univariate methods. Brain areas reliably impacted by MDD (nodes) and their covariances (edges) were informed by previously published coordinate-based meta-analysis activation/anatomical likelihood estimation (CBMA-ALE) by our group. Meta-analytic model was then fit in primary structural (T1) magnetic resonance imaging (MRI) data and resting-state functional MRI (rs-fMRI) data. Primary datasets were derived from two previously recruited cohorts. Outcome measures (testing for differences between MDD and controls) from standardized SEM included: a) model goodness of fit assessment, and b) individual edge strength. SEM measures were assessed in heterogeneous MDD patient groups, and subsequently re-tested in 7 clinical subgroups of MDD patients. Meta-analytically generated MDD network model yielded 9 nodes with 6 edges among the regions. Model goodness of fit in meta-analytic datasets were good to exceptional. Model goodness of fit in regionally sampled gray matter density in primary T1 data was exceptional in clinical subgroups of MDD, poor in clinically heterogeneous subgroups of MDD, and poor in healthy control subjects. VBM analysis of the same T1 datasets yielded sparse results. Model goodness did not distinguish MDD from controls in regionally sampled primary rs-fMRI. These findings support our hypothesis of improved multivariate signal in MDD compared to findings derived from mass univariate analyses, however this effect was only detectable in T1 data (groupwise). Improved SEM goodness of fit in clinical subgroups of MDD patients supports our hypothesis of detectable neuroimaging effects of clinical heterogeneity in MDD.

重度抑郁症（MDD）的神经影像学研究报告了广泛的疾病导致的大脑结构和功能异常。然而，大量单变量驱动研究的报告是不一致的。本研究的目的是确定是否可以使用多变量测量方法生成基于神经影像学的MDD生物标志物，该标志物可以可靠地将患者与健康对照组区分开来。通过生成MDD的meta分析节点和边缘网络模型，实现MDD的多变量建模，其中疾病影响大脑区域（节点）及其协方差（边缘）通过结构方程建模（SEM）量化。原始数据集的SEM评估和基于体素的形态测量（VBM）分析有助于验证我们的假设，即MDD的多变量分析比大量单变量方法提供更好的信号。我们小组先前发表的基于坐标的meta分析激活/解剖似然估计（CBMA-ALE）报告了受MDD可靠影响的脑区域（节点）及其协方差（边缘）。然后对初级结构（T1）磁共振成像（MRI）数据和静息状态功能磁共振成像（rs-fMRI）数据进行meta分析模型拟合。主要数据集来自先前招募的两个队列。标准化SEM的结果测量（MDD和对照组之间的差异测试）包括：a)模型拟合优度评估，b)个体边缘强度。在异质性MDD患者组中评估SEM测量，随后在MDD患者的7个临床亚组中重新测试。元分析生成的MDD网络模型得到9个节点，区域间有6条边。元分析数据集的模型拟合优度好到例外。初级T1数据中区域抽样灰质密度的模型拟合优度在MDD临床亚组中异常，在临床异质性MDD亚组中较差，在健康对照中较差。对相同T1数据集的VBM分析产生稀疏结果。在区域抽样的原始rs-fMRI中，模型良度不能区分MDD和对照组。这些发现支持了我们的假设，即与大量单变量分析的结果相比，MDD的多变量信号得到了改善，然而这种效果仅在T1数据中可检测到（分组）。MDD患者临床亚组的扫描电镜拟合优度的提高支持了我们的假设，即MDD患者的临床异质性可检测到神经影像学效应。

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引用次数: 0

Fast directed q-analysis for brain graphs 快速定向q分析脑图

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-26 DOI: 10.1016/j.bosn.2025.04.004

Felix Windisch, Florian Unger

Recent innovations in reconstructing large scale, full-precision, neuron-synapse-level connectomes demand subsequent improvements to graph analysis methods, to keep up with the growing complexity and size of the data. One such tool is the recently introduced directed

q

-analysis. We present numerous improvements, theoretical and applied, to this technique. On the theoretical side, we introduce modified definitions for key elements of directed

q

-analysis, which remedy a well-hidden and previously undetected bias. This also leads to new, beneficial perspectives to the associated computational challenges. Most importantly, we present a high-speed, publicly available, low-level implementation that provides speed-ups of several orders of magnitude on C. Elegans. Furthermore, the speed gains grow with the size of the considered graph. This is made possible due to the mathematical and algorithmic improvements as well as a carefully crafted implementation. These speed-ups enable, for the first time, the analysis of full-sized connectomes like those obtained by recent reconstructive methods.

Additionally, the speed-ups allow comparative analysis to corresponding null models, appropriately designed randomly structured artificial graphs that do not correspond to actual brains. This in turn, allows for assessing the efficacy and usefulness of directed

q

-analysis for studying the brain. We report on the results in this paper.

最近在重建大规模、全精度、神经元-突触级连接体方面的创新要求对图分析方法进行后续改进，以跟上数据日益增长的复杂性和规模。一个这样的工具是最近引入的有向q分析。我们提出了许多改进，理论和应用，这一技术。在理论方面，我们为有向q分析的关键元素引入了修改的定义，这弥补了一个隐藏得很好的和以前未检测到的偏差。这也为相关的计算挑战带来了新的、有益的视角。最重要的是，我们提出了一种高速的、公开可用的、低级的实现方法，它可以在秀丽隐杆线虫上提供几个数量级的加速。此外，速度增益随着所考虑的图的大小而增长。这是由于数学和算法的改进以及精心设计的实现而成为可能。这些加速首次使人们能够分析全尺寸的连接体，就像最近的重建方法所获得的那样。此外，加速允许对相应的零模型进行比较分析，适当设计随机结构的人工图表，不对应于实际的大脑。这反过来又允许评估定向q分析对研究大脑的有效性和有用性。我们在本文中报告了研究结果。

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引用次数: 0

Integration of omics to explore novel disease pathways in Down Syndrome neurodegeneration – Focusing on integrated stress response 整合组学，探索唐氏综合征神经退行性变的新疾病途径-专注于综合应激反应

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-24 DOI: 10.1016/j.bosn.2025.04.006

Beatriz Barros-Santos , Carlos Campos-Marques , Andreia Filipa Salvador , Joana Margarida Silva

Down Syndrome is characterized by the trisomy of chromosome 21, leading to widespread molecular and neurological alterations, including early-onset Alzheimer's disease. Emerging evidence highlights the role of RNA metabolism, RNA-binding proteins, and stress granules in these processes. The integrated stress response, a key regulator of translation and protein homeostasis, may be particularly disrupted in DS due to the overexpression of genes involved in the balance between protein degradation and RNA transcription. However, its impact on neurodegeneration in DS remains poorly understood. This project aims to integrate transcriptomic and proteomic data from human and animal models with Down Syndrome to dissect the interplay between integrated stress response, RNA-binding proteins, and stress granule dynamics. By identifying key molecular disruptions in RNA homeostasis and protein synthesis, we aim to investigate novel disease-driving mechanisms that can be conserved among species. These insights will likely help to establish ISR as a potential therapeutic target, advancing our understanding of DS-related neurodegenerative pathways that could be behind the age-related neurodegeneration observed in DS.

唐氏综合症的特征是21号染色体三体，导致广泛的分子和神经改变，包括早发性阿尔茨海默病。新出现的证据强调了RNA代谢、RNA结合蛋白和应激颗粒在这些过程中的作用。综合应激反应是翻译和蛋白质稳态的关键调节因子，由于参与蛋白质降解和RNA转录平衡的基因过度表达，在DS中可能特别受到破坏。然而，其对退行性椎体滑移神经退行性变的影响仍然知之甚少。该项目旨在整合来自唐氏综合征人类和动物模型的转录组学和蛋白质组学数据，以剖析综合应激反应、rna结合蛋白和应激颗粒动力学之间的相互作用。通过确定RNA稳态和蛋白质合成中的关键分子破坏，我们的目标是研究可以在物种之间保守的新型疾病驱动机制。这些见解可能有助于将ISR作为潜在的治疗靶点，促进我们对DS相关神经退行性通路的理解，这些通路可能是DS中观察到的与年龄相关的神经退行性变的背后。

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引用次数: 0

Inter subject variability analysis in normal ageing and prodromal AD 正常衰老和前驱AD的主体间变异性分析

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-24 DOI: 10.1016/j.bosn.2025.04.007

Surya Das , Subha D. Puthankattil

Inter subject variability examines the individual similarity/difference in neural dynamics within a population, both during rest and cognitive tasks. The current study investigates inter subject similarity using Inter Subject Correlation (

{ISC}_{corr}

), Inter Subject Coherence (

{ISC}_{coh}

) and Inter Subject Functional Connectivity (ISFC) in prodromal AD and healthy controls. Electroencephalogram (EEG) signals were recorded from 13 prodromal AD and 20 healthy subjects belonging to an ageing population. Inter subject correlation and inter subject coherence were estimated for all the EEG channels for each subject pair. Weighted phase lag index (WPLI) based functional connectivity is used for estimating ISFC. Reduction in values of

{ISC}_{corr} and {ISC}_{coh}

was observed in all the recording conditions for the patient group with respect to the healthy controls, with statistically significant difference being observed only in the resting state. ISFC analysis showed a reduction in inter subject similarity in the prodromal AD patient group in comparison to the healthy controls in both resting and cognitive tasks. Results from the study infers the reduction

of {ISC}_{corr} and {ISC}_{coh}

and ISFC in the patient group indicating a reduction in intersubject similarity. The reduction in intersubject similarity observed in prodromal AD group may result from the heterogeneity of brain dynamics within the population during the progression of AD. The study further highlights that the reduction in intersubject similarity is more pronounced during resting states compared to cognitive tasks. Future studies shall benefit from examining intersubject similarity within the patient group which could aid in the development of biomarkers for early detection of the disease.

主体间变异性研究的是人群中在休息和认知任务中神经动力学的个体相似性/差异性。本研究利用主体间相关（ISCcorr）、主体间连贯（ISCcoh）和主体间功能连接（ISFC）对AD前驱期和健康对照的主体间相似性进行了研究。记录13例AD前驱期和20例老年健康人的脑电图（EEG）信号。对每对被试的所有脑电信号通道进行被试间相关性和被试间相干性的估计。基于加权相位滞后指数（WPLI）的功能连通性用于估计ISFC。与健康对照组相比，在所有记录条件下，患者组的isccorranddiscoh值均有所降低，仅在静息状态下观察到统计学上的显著差异。ISFC分析显示，与健康对照组相比，前驱AD患者组在静息和认知任务中的受试者间相似性有所降低。研究结果推断，患者组中isccorrandiscoh和ISFC降低，表明受试者间相似性降低。在阿尔茨海默病前驱期组中观察到的受试者间相似性的降低可能是由于阿尔茨海默病进展过程中人群内脑动力学的异质性。该研究进一步强调，与认知任务相比，在静息状态下，主体间相似性的降低更为明显。未来的研究将受益于检查患者组内的学科间相似性，这可能有助于开发用于疾病早期检测的生物标志物。

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引用次数: 0

Trehalose, but not other sugars, protects HT22 cells against amyloid-beta toxicity 海藻糖（而非其他糖类）能保护 HT22 细胞免受淀粉样蛋白-β 的毒性侵害

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-18 DOI: 10.1016/j.bosn.2025.04.005

Yue Xu , Kartar Singh , Michael A. Beazely , Zoya Leonenko

Trehalose sugar is being explored as a health supplement in Alzheimer’s Disease due to its neuroprotective potential, which is hypothesized to be mainly due to its regulation of pathological amyloid-beta (Aβ) production and aggregation via metabolic pathways. However, the impact of trehalose on neuronal systems against amyloid toxicity is unclear. This work presents a study of the impact of trehalose at different concentrations on HT22 cell viability and explores whether trehalose can directly reduce cell death caused by exogenous Aβ1–42 oligomers. We used an MTT cell viability assay to evaluate the viability of HT22 cells exposure to exogenous Aβ1–42 oligomers alone or in combination with trehalose and several other sugars. Our results reveal that trehalose has a protective effect on the cell viability against Aβ1–42 oligomers, while other sugars, lactulose, sucrose, and fructose, provided no protection against amyloid toxicity.

海藻糖作为阿尔茨海默病的健康补充剂，由于其神经保护潜力，被认为主要是由于其通过代谢途径调节病理性淀粉样蛋白（a β）的产生和聚集。然而，海藻糖对神经元系统抗淀粉样蛋白毒性的影响尚不清楚。本研究通过研究不同浓度海藻糖对HT22细胞活力的影响，探讨海藻糖是否能直接降低外源性a β1 - 42寡聚物引起的细胞死亡。我们使用MTT细胞活力测定来评估HT22细胞单独暴露于外源性Aβ1-42寡聚物或与海藻糖和其他几种糖联合暴露于外源性Aβ1-42寡聚物的活力。我们的研究结果表明，海藻糖对a β1 - 42低聚物的细胞活力有保护作用，而其他糖，乳果糖、蔗糖和果糖，对淀粉样蛋白毒性没有保护作用。

引用次数: 0

Aversive memory engrams in the hippocampus 海马体中的厌恶记忆印痕

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-18 DOI: 10.1016/j.bosn.2025.04.003

Julia Leschik

Negative episodic memories exert important control of behavioral responses during a real or anticipated threatening situation. Under pathological states, however, this control can extend to non-threatening scenarios. For example, pathological states of aversive memory involve fear-overgeneralization in post-traumatic stress disorder (PTSD) or other anxiety disorders. Furthermore, negative bias in cognitive processing and memory formation is seen in depressed individuals displaying enhanced encoding and recall, less forgetting or repetition of negative memory (rumination) as well as impaired recall of positive memory. Beyond pathological conditions, researchers have long aimed to understand the basic biological entity of memory. This unit termed “engram” is the cellular and molecular component of enduring physiological changes in the brain, enabling learning and memory retrieval. Herein, the hippocampus is central in the formation of context-dependent episodic memories and therefore most often studied in animal experiments to elucidate complex memory traces. In addition, the hippocampus is critically involved in fear-circuits and stress-related dysfunction. This review summarizes current knowledge about memory engrams in hippocampal (sub)regions and their functional relevance regarding neuronal correlates and rodent behavior. A special focus is placed on the negative valence of a memory and the formation of engrams for aversive memories, specifically induced by fear or stress. Finally, limitations of current engram research and possible future directions to improve our understanding of negatively valued memory and its implications in neuropathological conditions will be discussed.

消极情景记忆在真实或预期的威胁情境中对行为反应起着重要的控制作用。然而，在病理状态下，这种控制可以扩展到无威胁的情况。例如，在创伤后应激障碍（PTSD）或其他焦虑症中，厌恶记忆的病理状态包括恐惧过度概括。此外，抑郁个体在认知加工和记忆形成方面的负偏倚表现为编码和回忆增强，消极记忆（反刍）的遗忘或重复减少，积极记忆的回忆受损。除了病理条件，研究人员长期以来一直致力于了解记忆的基本生物实体。这个单位被称为“印迹”，是大脑中持久生理变化的细胞和分子组成部分，使学习和记忆检索成为可能。在此，海马体在情景依赖性情景记忆的形成中起着中心作用，因此在动物实验中最常被研究以阐明复杂的记忆痕迹。此外，海马体在恐惧回路和压力相关功能障碍中起关键作用。本文综述了目前关于海马（亚）区记忆印痕及其与神经元相关和啮齿动物行为的功能相关性的研究进展。特别关注的是记忆的负效价和反感记忆印痕的形成，特别是由恐惧或压力引起的。最后，将讨论当前印迹研究的局限性和未来可能的方向，以提高我们对负价值记忆的理解及其在神经病理条件下的意义。

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引用次数: 0

On the implementation of single-cell omics and CRISPR screens for iPSC-models of Parkinson’s disease 单细胞组学和CRISPR筛选在帕金森病ipsc模型中的应用

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-11 DOI: 10.1016/j.bosn.2025.04.001

Victoria Lievens , Hugo J.R. Fernandes

Parkinson’s disease (PD) is currently the fastest growing neurological condition, with an urgent need for effective treatments to slow or stop disease progression. The advent of induced pluripotent stem cells (iPSC) models has significantly enhanced our understanding of PD by providing unprecedented access to disease-relevant cell types. These PD in vitro models have provided novels insights into mitochondrial dysfunction, lysosomal and autophagic dysregulation, protein aggregation, stress response, inflammation and metabolic perturbations. However, cellular heterogeneity and variability across iPSC lines are inherent limitations of these models which are often overlooked. Here we discuss ongoing efforts and opportunities to improve PD models by incorporating recent advancements in single-cell multi-omics analyses. We also highlight the lack of genetic CRISPR screens using iPSC-models of PD and discuss current limitations and prospects. We argue that implementing and combining these tools has the potential to unlock novel insights into the pathological mechanisms of PD that could lead to new therapeutic targets for this devastating disorder.

帕金森病（PD）是目前增长最快的神经系统疾病，迫切需要有效的治疗来减缓或阻止疾病进展。诱导多能干细胞（iPSC）模型的出现通过提供前所未有的与疾病相关的细胞类型，显著增强了我们对帕金森病的理解。这些PD体外模型为线粒体功能障碍、溶酶体和自噬失调、蛋白质聚集、应激反应、炎症和代谢紊乱提供了新的见解。然而，iPSC细胞系的细胞异质性和可变性是这些模型的固有局限性，而这些局限性往往被忽视。在这里，我们讨论了通过结合单细胞多组学分析的最新进展来改进PD模型的持续努力和机会。我们还强调了缺乏使用ipsc PD模型的基因CRISPR筛选，并讨论了目前的局限性和前景。我们认为，实施和结合这些工具有可能解开PD病理机制的新见解，从而为这种毁灭性疾病带来新的治疗靶点。

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引用次数: 0

Studying the neural correlates of upper aerodigestive tract functions under natural conditions: A protocol using functional near-infrared spectroscopy, cervical acoustics, and accelerometry 研究自然条件下上消化道功能的神经相关性：使用功能性近红外光谱、颈椎声学和加速度计的方案

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-04-08 DOI: 10.1016/j.bosn.2025.04.002

Yohan Gallois , Jeanne Souche , Yann Lemaire , Lila Gravellier , Pascal Barone , Linda Nicolini , Jérome Farinas , Pascal Gaillard , Virginie Woisard

Background

The upper aerodigestive tract (UADT) is a complex structure with multiple synchronized vital functions, including swallowing and breathing, that rely on central neurological controls and cervical effectors. Reference UADT assessments have questionable limitations in natural conditions. Here, we describe our new protocol addressing these limitations. Our protocol combines three non-invasive technologies to evaluate UADT functions in natural conditions. We aim to correlate the cortical and cervical activities of UADT functions in a real-world context.

New method

Healthy subjects perform speech, coughing, throat clearing, and swallowing tasks in a natural sitting position. Cervical evaluation uses acoustic and accelerometric measures that reflect the laryngeal movements and bolus progression. We manually segment the events of each task. Functional near-infrared spectroscopy measures the concurrent cortical activity from the bilateral inferior pericentral regions, including the laryngeal sensorimotor cortices. We statistically compare event signal duration and bolus types under volitional and spontaneous conditions across the three technologies.

Comparison with existing methods

Reference UADT evaluations show limitations: cervical assessment references are irradiating (videofluoroscopy) or invasive (flexible nasal laryngoscopy); neurological assessment with functional magnetic resonance imaging (fMRI) does not allow swallowing in sitting position.

Expected results and perspectives

We aim to validate this protocol in natural settings and correlate cervical activity with cortical responses. This protocol opens perspectives to investigations on UADT functions in subjects currently with reduced access to gold standards, including children and dysphagic subjects with neurological dystonia.

Conclusion

We propose an innovative protocol for UADT evaluation in non-invasive natural conditions.

上气消化道（UADT）是一个复杂的结构，具有多种同步的重要功能，包括吞咽和呼吸，依赖于中枢神经控制和颈部效应。参考UADT评估在自然条件下的局限性值得怀疑。在这里，我们描述了解决这些限制的新协议。我们的方案结合了三种非侵入性技术来评估UADT在自然条件下的功能。我们的目标是在现实世界中关联UADT功能的皮质和颈椎活动。新方法健康受试者以自然坐姿进行说话、咳嗽、清喉和吞咽任务。宫颈评估使用声学和加速度测量来反映喉部运动和丸子进展。我们手动分割每个任务的事件。功能性近红外光谱测量双侧下中央周围区域的并发皮层活动，包括喉感觉运动皮层。我们在统计上比较了三种技术在自愿和自发条件下的事件信号持续时间和丸子类型。与现有方法的比较UADT评估显示局限性：宫颈评估参考是放射性（视频透视）或侵入性（柔性鼻喉镜）；功能磁共振成像（fMRI）的神经学评估不允许在坐姿下吞咽。预期结果和前景我们的目标是在自然环境中验证该方案，并将宫颈活动与皮质反应联系起来。该方案为目前缺乏金标准的受试者（包括儿童和患有神经张力障碍的吞咽困难受试者）中UADT功能的研究开辟了视角。结论我们提出了一种创新的无创自然条件下UADT评估方案。

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引用次数: 0

Comprehensive review of in vitro gut-brain axis models in Parkinson’s disease research 帕金森病体外肠-脑轴模型研究综述

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-03-25 DOI: 10.1016/j.bosn.2025.03.002

John Nicholas Cauba, Jihoo Woo, Russell W. Wiggins, Shizue Mito

This systematic review critically evaluates in vitro gut-brain axis models based on their effectiveness in advancing treatment strategies for Parkinson’s disease (PD). Models such as microfluidic devices, combined organ-on-a-chips (OOCs), and gut-brain organoids are analyzed for their ability to replicate key PD mechanisms, including intestinal barrier dysfunction, microbial dysbiosis, and α-synuclein aggregation. While these models are prospective tools in isolating facets of PD pathology such as microbiota modulation, neurotoxin transport, and neuroinflammation mitigation, challenges remain in their physiological relevance, scalability, and translational potential. This review discusses the designs and limitations of the latest in vitro models and identifies areas that may enhance their utility in developing effective treatments for PD.

本系统综述基于体外肠-脑轴模型在推进帕金森病（PD）治疗策略方面的有效性，对其进行了批判性评估。研究人员分析了微流体装置、组合器官芯片（OOCs）和肠脑类器官等模型复制PD关键机制的能力，包括肠道屏障功能障碍、微生物生态失调和α-突触核蛋白聚集。虽然这些模型是分离PD病理方面的前瞻性工具，如微生物群调节、神经毒素转运和神经炎症缓解，但它们的生理相关性、可扩展性和转化潜力仍然存在挑战。本文讨论了最新体外模型的设计和局限性，并确定了在开发有效治疗PD方面可能提高其效用的领域。

引用次数: 0

Disrupted functional connectivity in carotid artery stenosis patients: Insights from fNIRS during a vasoreactivity test 颈动脉狭窄患者的功能连接中断：在血管反应性试验中从fNIRS获得的见解

Brain Organoid and Systems Neuroscience Journal

Pub Date : 2025-03-21 DOI: 10.1016/j.bosn.2025.03.001

Víctor Sánchez , Luis Felipe Bortoletto , Caroline G. Mazala , Andrés Quiroga , Sergio Novi , Rickson C. Mesquita

Carotid artery stenosis (CAS) reduces cerebral perfusion, which can contribute to neurodegeneration and cognitive decline. While fMRI studies have identified CAS-related disruptions in functional connectivity (FC) associated with neurodegeneration, translating these methods to functional near-infrared spectroscopy (fNIRS) offers a portable, clinically practical alternative. In this study, we assessed FC using fNIRS in 44 CAS patients and 20 controls during breath-holding, a clinical vasoreactivity task. Our results demonstrate clear differences between FC during breath-holding and the resting state, highlighting the task's impact on network connectivity. Patients with unilateral mild stenosis (50–69 % occlusion) exhibited FC patterns comparable to those of controls, whereas patients with bilateral severe stenosis showed a 26 % reduced connectivity and a 14 % lower clustering. When accounting for time delays of 0.9–1.3 seconds, network synchrony was restored across all CAS groups, suggesting that the proposed fNIRS-based method can be used to investigate compensatory hemodynamic delays in CAS. Although sample size limits broader clinical generalizations, this work demonstrates the feasibility of using fNIRS for FC analysis in CAS during a vasodilatory task and provides evidence that fNIRS-based FC metrics are sensitive to CAS severity.

颈动脉狭窄（CAS）减少脑灌注，可导致神经变性和认知能力下降。虽然fMRI研究已经确定了与神经变性相关的功能连接（FC）中cas相关的中断，但将这些方法转化为功能近红外光谱（fNIRS）提供了一种便携式，临床实用的替代方法。在这项研究中，我们使用近红外光谱（fNIRS）评估了44名CAS患者和20名对照组在屏气（一项临床血管反应性任务）期间的FC。我们的研究结果表明，屏气和静息状态下的FC之间存在明显差异，突出了任务对网络连接的影响。单侧轻度狭窄患者（50 - 69% %闭塞）表现出与对照组相当的FC模式，而双侧严重狭窄患者的连通性降低26% %，聚类降低14% %。当考虑到0.9-1.3 秒的时间延迟时，所有CAS组的网络同步都恢复了，这表明所提出的基于fnir的方法可以用于研究CAS的代偿性血流动力学延迟。尽管样本量限制了更广泛的临床推广，但这项工作证明了在血管舒张任务期间使用fNIRS进行CAS FC分析的可行性，并提供了基于fNIRS的FC指标对CAS严重程度敏感的证据。

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引用次数: 0