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Impaired mitochondrial function in bipolar disorder and alcohol use disorder: a case study using 18F-BCPP-EF PET imaging of mitochondrial Complex I. 双相情感障碍和酒精使用障碍中受损的线粒体功能:使用线粒体复合物 I 的 18F-BCPP-EF PET 成像进行病例研究。
Pub Date : 2024-09-03 eCollection Date: 2024-01-01 DOI: 10.1093/psyrad/kkae014
Travis P Wigstrom, Stiven Roytman, Jeffrey L B Bohnen, Rebecca R Paalanen, Alexis M Griggs, Robert Vangel, Jaimie Barr, Roger Albin, Prabesh Kanel, Nicolaas I Bohnen

Background: With bipolar disorder (BD) having a lifetime prevalence of 4.4% and a significant portion of patients being chronically burdened by symptoms, there has been an increased focus on uncovering new targets for intervention in BD. One area that has shown early promise is the mitochondrial hypothesis. However, at the time of publication no studies have utilized positron emission tomography (PET) imaging to assess mitochondrial function in the setting of BD.

Case presentation: Our participant is a 58 year-old male with a past medical history notable for alcohol use disorder and BD (unspecified type) who underwent PET imaging with the mitochondrial complex I PET ligand 18F-BCPP-EF. The resulting images demonstrated significant overlap between areas of dysfunction identified with the 18F-BCPP-EF PET ligand and prior functional magnetic resonance imaging (MRI) techniques in the setting of BD. That overlap was seen in both affective and cognitive circuits, with mitochondrial dysfunction in the fronto-limbic, ventral affective, and dorsal cognitive circuits showing particularly significant differences.

Conclusions: Despite mounting evidence implicating mitochondria in BD, this study represents the first PET imaging study to investigate this mechanistic connection. There were key limitations in the form of comorbid alcohol use disorder, limited statistical power inherent to a case study, no sex matched controls, and the absence of a comprehensive psychiatric history. However, even with these limitations in mind, the significant overlap between dysfunction previously demonstrated on functional MRI and this imaging provides compelling preliminary evidence that strengthens the mechanistic link between mitochondrial dysfunction and BD.

背景:双相情感障碍(BD)的终生患病率为 4.4%,相当一部分患者长期受症状困扰。线粒体假说是一个很有希望的领域。然而,截至本文发表时,还没有研究利用正电子发射断层扫描(PET)成像技术来评估 BD 的线粒体功能:我们的受试者是一名 58 岁的男性,既往病史为酒精使用障碍和 BD(未明确类型),他接受了线粒体复合体 I PET 配体 18F-BCPP-EF 的 PET 成像检查。成像结果表明,18F-BCPP-EF PET 配体与之前的功能磁共振成像(MRI)技术在 BD 病例中发现的功能障碍区域之间存在明显重叠。这种重叠可见于情感和认知回路,前边缘、腹侧情感和背侧认知回路的线粒体功能障碍显示出特别显著的差异:结论:尽管有越来越多的证据表明线粒体与 BD 有关,但本研究是首次对这种机理联系进行研究的 PET 成像研究。这项研究存在一些主要的局限性,如合并酒精使用障碍、病例研究固有的统计能力有限、没有性别匹配的对照组以及缺乏全面的精神病史。不过,即使考虑到这些局限性,之前在功能磁共振成像上显示的功能障碍与该成像之间的显著重叠提供了令人信服的初步证据,加强了线粒体功能障碍与 BD 之间的机理联系。
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引用次数: 0
Advancements in MR hardware systems and magnetic field control: B0 shimming, RF coils, and gradient techniques for enhancing magnetic resonance imaging and spectroscopy. 磁共振硬件系统和磁场控制的进步:用于增强磁共振成像和光谱学的 B0 垫片、射频线圈和梯度技术。
IF 2.9 Pub Date : 2024-08-14 eCollection Date: 2024-01-01 DOI: 10.1093/psyrad/kkae013
Yun Shang, Gizeaddis Lamesgin Simegn, Kelly Gillen, Hsin-Jung Yang, Hui Han

High magnetic field homogeneity is critical for magnetic resonance imaging (MRI), functional MRI, and magnetic resonance spectroscopy (MRS) applications. B0 inhomogeneity during MR scans is a long-standing problem resulting from magnet imperfections and site conditions, with the main issue being the inhomogeneity across the human body caused by differences in magnetic susceptibilities between tissues, resulting in signal loss, image distortion, and poor spectral resolution. Through a combination of passive and active shim techniques, as well as technological advances employing multi-coil techniques, optimal coil design, motion tracking, and real-time modifications, improved field homogeneity and image quality have been achieved in MRI/MRS. The integration of RF and shim coils brings a high shim efficiency due to the proximity of participants. This technique will potentially be applied to high-density RF coils with a high-density shim array for improved B0 homogeneity. Simultaneous shimming and image encoding can be achieved using multi-coil array, which also enables the development of novel encoding methods using advanced magnetic field control. Field monitoring enables the capture and real-time compensation for dynamic field perturbance beyond the static background inhomogeneity. These advancements have the potential to better use the scanner performance to enhance diagnostic capabilities and broaden applications of MRI/MRS in a variety of clinical and research settings. The purpose of this paper is to provide an overview of the latest advances in B0 magnetic field shimming and magnetic field control techniques as well as MR hardware, and to emphasize their significance and potential impact on improving the data quality of MRI/MRS.

高磁场均匀性对于磁共振成像(MRI)、功能磁共振成像(MRI)和磁共振波谱(MRS)应用至关重要。磁共振扫描过程中的 B0 不均匀性是一个长期存在的问题,它是由磁铁缺陷和现场条件造成的,主要问题是不同组织之间的磁感应强度差异造成的人体不均匀性,从而导致信号丢失、图像失真和光谱分辨率低。通过将被动和主动垫片技术相结合,以及采用多线圈技术、最佳线圈设计、运动跟踪和实时修改等技术进步,MRI/MRS 的磁场均匀性和图像质量得到了改善。由于参与者距离较近,射频线圈和垫片线圈的整合带来了较高的垫片效率。这项技术有可能应用于高密度射频线圈和高密度垫片阵列,以改善 B0 的均匀性。利用多线圈阵列可以同时进行垫片和图像编码,这也使得利用先进的磁场控制开发新型编码方法成为可能。磁场监测能够捕捉和实时补偿静态背景不均匀性之外的动态磁场扰动。这些进步有可能更好地利用扫描仪的性能来提高诊断能力,并扩大 MRI/MRS 在各种临床和研究环境中的应用。本文旨在概述 B0 磁场垫片和磁场控制技术以及 MR 硬件的最新进展,并强调它们对提高 MRI/MRS 数据质量的意义和潜在影响。
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引用次数: 0
Is unilateral cerebellum sufficient? Insights from new cases of cerebellar agenesis and literature review. 单侧小脑是否足够?小脑发育不全新病例的启示和文献综述。
Pub Date : 2024-06-29 eCollection Date: 2024-01-01 DOI: 10.1093/psyrad/kkae012
Dingmei Deng, Bo Tao, Yizhi Yuan, Yongsheng Ao, Lihua Qiu

The clinical manifestations of adult-acquired cerebellar diseases often surpass those of congenital cerebellar diseases, suggesting the significant role of the cerebellum in the developing brain. Moreover, emerging evidence from structural and functional magnetic resonance imaging indicates that the cerebellum is implicated not only in motor functions but also in non-motor domains such as cognition, emotion, and language. However, delineating the specific extent of cerebellar development required to prevent deficits in either motor or non-motor functions remains challenging. In this study, we present two new cases of unilateral cerebellar agenesis. One individual leads a nearly normal life, while the other exhibits mild cognitive impairment, mild depression, and severe autism, but maintains normal motor function. Van der Heijden et al. (2023) revealed that the brain can compensate for some, but not all, perturbations to the developing cerebellum, including motor deficits and impairments in social behaviors. Therefore, we hypothesize that comparing structural images from our patients and reviewing pertinent literature may elucidate the reasons for the varied clinical manifestations observed in patients with cerebellar agenesis.

成人获得性小脑疾病的临床表现往往超过先天性小脑疾病,这表明小脑在大脑发育过程中发挥着重要作用。此外,结构和功能磁共振成像的新证据表明,小脑不仅与运动功能有关,还与认知、情感和语言等非运动领域有关。然而,要确定防止运动或非运动功能障碍所需的小脑发育的具体程度仍具有挑战性。在这项研究中,我们发现了两例新的单侧小脑发育不全病例。其中一人的生活几乎正常,而另一人则表现出轻度认知障碍、轻度抑郁和严重的自闭症,但仍保持正常的运动功能。Van der Heijden 等人(2023 年)发现,大脑可以补偿发育中的小脑所受到的一些干扰,包括运动障碍和社交行为障碍。因此,我们假设,对比我们患者的结构图像并回顾相关文献,可能会阐明小脑发育不全患者出现不同临床表现的原因。
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引用次数: 0
Enhancing assessment and intervention for empathy deficits: The “zipper model of empathy” approach in neurodevelopmental disorders 加强移情缺陷的评估和干预:神经发育障碍中的 "移情拉链模型 "方法
Pub Date : 2024-06-13 DOI: 10.1093/psyrad/kkae011
Yili Zhao
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引用次数: 0
Informing the treatment of social anxiety disorder with computational and neuroimaging data 利用计算和神经成像数据为社交焦虑症的治疗提供依据
Pub Date : 2024-05-03 DOI: 10.1093/psyrad/kkae010
Aamir Sohail, Lei Zhang
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引用次数: 0
Social intelligence mediates the protective role of resting-state brain activity in the social cognition network against social anxiety 社交智能介导社会认知网络中静息态大脑活动对社交焦虑的保护作用
Pub Date : 2024-04-24 DOI: 10.1093/psyrad/kkae009
Yingqiao Ma, Yuhan Zou, Xiqin Liu, Taolin Chen, Graham J. Kemp, Qiyong Gong, Song Wang
Social intelligence refers to an important psychosocial skill set encompassing an array of abilities, including effective self-expression, understanding of social contexts, and acting wisely in social interactions. While there is ample evidence of its importance in various mental health outcomes, particularly social anxiety, little is known on the brain correlates underlying social intelligence and how it can mitigate social anxiety. This research aims to investigate the functional neural markers of social intelligence and their relations to social anxiety. Data of resting-state functional magnetic resonance imaging and behavioral measures were collected from 231 normal students aged 16 to 20 years (48% male). Whole-brain voxel-wise correlation analysis was conducted to detect the functional brain clusters related to social intelligence. Correlation and mediation analyses explored the potential role of social intelligence in the linkage of resting-state brain activities to social anxiety. Social intelligence was correlated with neural activities (assessed as the fractional amplitude of low-frequency fluctuations, fALFF) among two key brain clusters in the social cognition networks: negatively correlated in left superior frontal gyrus (SFG) and positively correlated in right middle temporal gyrus (MTG). Further, the left SFG fALFF was positively correlated with social anxiety; brain–personality-symptom analysis revealed that this relationship was mediated by social intelligence. These results indicate that resting-state activities in the social cognition networks might influence a person's social anxiety via social intelligence: lower left SFG activity → higher social intelligence → lower social anxiety. These may have significance for developing neurobehavioral intervention to mitigate social anxiety.
社交智能是一种重要的社会心理技能,包含一系列能力,包括有效的自我表达、对社会环境的理解以及在社会交往中明智地行事。尽管有大量证据表明社交智能对各种心理健康结果(尤其是社交焦虑)的重要性,但人们对社交智能背后的大脑相关因素以及社交智能如何缓解社交焦虑却知之甚少。 本研究旨在调查社交智能的功能神经标记及其与社交焦虑的关系。 研究收集了 231 名 16 至 20 岁正常学生(48% 为男性)的静息态功能磁共振成像和行为测量数据。通过全脑体素相关分析,发现了与社交智能相关的大脑功能集群。相关分析和中介分析探讨了社交智力在静息态大脑活动与社交焦虑的联系中的潜在作用。 社会智力与社会认知网络中两个关键脑群的神经活动(评估为低频波动分数振幅,fALFF)相关:与左额上回(SFG)呈负相关,与右颞中回(MTG)呈正相关。此外,左侧 SFG 的 fALFF 与社交焦虑呈正相关;大脑-性格-症状分析表明,这种关系是由社交智力介导的。 这些结果表明,社会认知网络中的静息态活动可能会通过社会智力影响一个人的社会焦虑:左侧SFG活动较低→社会智力较高→社会焦虑较低。这可能对开发缓解社交焦虑的神经行为干预具有重要意义。
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引用次数: 0
Microbiota-gut-brain axis: the mediator of exercise and brain health. 微生物群-肠-脑轴:运动与大脑健康的媒介。
Pub Date : 2024-04-19 eCollection Date: 2024-01-01 DOI: 10.1093/psyrad/kkae007
Piao Kang, Alan Zi-Xuan Wang

The brain controls the nerve system, allowing complex emotional and cognitive activities. The microbiota-gut-brain axis is a bidirectional neural, hormonal, and immune signaling pathway that could link the gastrointestinal tract to the brain. Over the past few decades, gut microbiota has been demonstrated to be an essential component of the gastrointestinal tract that plays a crucial role in regulating most functions of various body organs. The effects of the microbiota on the brain occur through the production of neurotransmitters, hormones, and metabolites, regulation of host-produced metabolites, or through the synthesis of metabolites by the microbiota themselves. This affects the host's behavior, mood, attention state, and the brain's food reward system. Meanwhile, there is an intimate association between the gut microbiota and exercise. Exercise can change gut microbiota numerically and qualitatively, which may be partially responsible for the widespread benefits of regular physical activity on human health. Functional magnetic resonance imaging (fMRI) is a non-invasive method to show areas of brain activity enabling the delineation of specific brain regions involved in neurocognitive disorders. Through combining exercise tasks and fMRI techniques, researchers can observe the effects of exercise on higher brain functions. However, exercise's effects on brain health via gut microbiota have been little studied. This article reviews and highlights the connections between these three interactions, which will help us to further understand the positive effects of exercise on brain health and provide new strategies and approaches for the prevention and treatment of brain diseases.

大脑控制着神经系统,可以进行复杂的情感和认知活动。微生物群-肠道-大脑轴是一条双向的神经、激素和免疫信号通路,可将胃肠道与大脑联系起来。在过去几十年中,肠道微生物群已被证实是胃肠道的重要组成部分,在调节人体各器官的大部分功能方面发挥着至关重要的作用。微生物群通过产生神经递质、激素和代谢物,调节宿主产生的代谢物,或通过微生物群自身合成代谢物,对大脑产生影响。这会影响宿主的行为、情绪、注意力状态和大脑的食物奖励系统。与此同时,肠道微生物群与运动之间也有着密切的联系。运动可以从数量和质量上改变肠道微生物群,这可能是定期体育锻炼对人类健康有广泛益处的部分原因。功能性磁共振成像(fMRI)是一种非侵入性方法,可显示大脑活动区域,从而划分出神经认知障碍所涉及的特定大脑区域。通过将运动任务与 fMRI 技术相结合,研究人员可以观察到运动对大脑高级功能的影响。然而,运动通过肠道微生物群对大脑健康的影响却鲜有研究。本文回顾并强调了这三种相互作用之间的联系,这将有助于我们进一步了解运动对大脑健康的积极影响,并为预防和治疗脑部疾病提供新的策略和方法。
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引用次数: 0
Brain development of a school-aged boy with autism spectrum condition talented in arithmetic: a case report. 一名患有自闭症谱系障碍的学龄男孩在算术方面天赋异禀的大脑发育:个案报告。
Pub Date : 2024-04-18 eCollection Date: 2024-01-01 DOI: 10.1093/psyrad/kkae008
Weixing Zhao, Lei Li, Xiujie Yang, Xiaotian Wang, Juan Kou, Jia Chen, Huafu Chen, Qi Wang, Xujun Duan

Whereas autism spectrum condition is known for its social and communicative challenges, some autistic children demonstrate unusual islets of abilities including those related to mathematics, the neurobiological underpinnings of which are increasingly becoming the focus of research. Here we describe an 8-year-old autistic boy with intellectual and language challenges, yet exceptional arithmetic ability. He can perform verbal-based multiplication of three- and even four-digit numbers within 20 seconds. To gain insights into the neural basis of his talent, we investigated the gray matter in the child's brain in comparison to typical development, applying voxel-based morphometry to magnetic resonance imaging data. The case exhibited reduced gray matter volume in regions associated with arithmetic, which may suggest an accelerated development of brain regions with arithmetic compared to typically developing individuals: potentially a key factor contributing to his exceptional talent. Taken together, this case report describes an example of the neurodiversity of autism. Our research provides valuable insights into the potential neural basis of exceptional arithmetic abilities in individuals with the autism spectrum and its potential contribution to depicting the diversity and complexity of autism.

自闭症谱系以其社交和沟通方面的挑战而闻名,而一些自闭症儿童则表现出不同寻常的能力,包括与数学有关的能力,其神经生物学基础正日益成为研究的焦点。在这里,我们描述了一名 8 岁的自闭症男孩,他在智力和语言方面都面临挑战,但算术能力却出类拔萃。他能在 20 秒内完成三位数甚至四位数的乘法运算。为了深入了解他的天赋的神经基础,我们通过对磁共振成像数据进行体素形态测量,研究了孩子大脑灰质与典型发育情况的对比。该病例表现出与算术相关区域的灰质体积减少,这可能表明与正常发育的个体相比,与算术相关的大脑区域加速发育:这可能是导致他具有非凡天赋的一个关键因素。综上所述,本病例报告描述了自闭症神经多样性的一个实例。我们的研究为了解自闭症谱系中特殊算术能力的潜在神经基础提供了有价值的见解,并为描述自闭症的多样性和复杂性做出了潜在贡献。
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引用次数: 0
Focus on the sex-specific neural markers in the discrimination of various degrees of depression 关注鉴别不同程度抑郁症的性别特异性神经标记
Pub Date : 2024-04-09 DOI: 10.1093/psyrad/kkae006
Yaqin Li, Xinyu Yan, Xianxin Meng, Jiajin Yuan
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引用次数: 0
Transcriptomic and Neuroimaging Data Integration Enhances Machine Learning Classification of Schizophrenia 转录组和神经影像学数据整合增强了精神分裂症的机器学习分类能力
Pub Date : 2024-03-26 DOI: 10.1093/psyrad/kkae005
Mengya Wang, Shu Zhao, Di Wu, Ya-Hong Zhang, Yan-Kun Han, Kun Zhao, Ting Qi, Yong Liu, Long-Biao Cui, Yongbin Wei
Schizophrenia is a polygenetic disorder associated with changes in brain structure and function. Integrating macroscale brain features and microscale genetic data may provide a more complete overview of the disease etiology and may serve as potential diagnostic markers for schizophrenia. We aim to systematically evaluate the impact of multi-scale neuroimaging and transcriptomic data fusion in schizophrenia classification models. we collected brain imaging data and blood RNA-seq data from 43 schizophrenia patients and 60 age-, gender-matched healthy controls, and we extracted multi-omics features of macroscale brain morphology, brain structural connectivity and functional connectivity, and gene transcription of schizophrenia risk genes. Multi-scale data fusion was performed using a machine learning integration framework, together with several conventional machine learning methods and neural networks for patient classification. We found that multi-omics data fusion in conventional machine learning models achieved the highest accuracy in contrast to the single-modality models, with AUC improvements of 8.88% to 22.64%. Similar findings were observed for the neural network, showing an increase of 16.57% for the multimodal classification accuracy compared to the single-modal average. In addition, we identified several brain regions in the left posterior cingulate and right frontal pole that contribute to disease classification. We provide empirical evidence for the increased accuracy achieved by imaging genetic data integration in schizophrenia classification. Multi-scale data fusion holds promise for enhancing diagnostic precision, facilitating early detection and personalizing treatment regimens in schizophrenia.
精神分裂症是一种与大脑结构和功能变化相关的多基因疾病。整合宏观尺度的大脑特征和微观尺度的遗传数据可以更全面地了解疾病的病因,并可作为精神分裂症的潜在诊断标志物。 我们收集了 43 名精神分裂症患者和 60 名年龄、性别匹配的健康对照者的脑成像数据和血液 RNA-seq 数据,提取了宏观脑形态学、脑结构连通性和功能连通性以及精神分裂症风险基因转录的多组学特征。多尺度数据融合采用了机器学习集成框架,并结合几种传统的机器学习方法和神经网络对患者进行分类。 我们发现,在传统的机器学习模型中,多组学数据融合的准确率与单模态模型相比最高,AUC提高了8.88%至22.64%。神经网络也有类似发现,多模态分类准确率比单模态平均准确率提高了 16.57%。此外,我们还发现了左侧扣带回后部和右侧额极的几个脑区有助于疾病分类。 我们为在精神分裂症分类中通过成像基因数据整合提高准确性提供了经验证据。多尺度数据融合有望提高精神分裂症的诊断精确度、促进早期检测和个性化治疗方案。
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引用次数: 0
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Psychoradiology
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