Psychiatry Research: Neuroimaging最新文献_第2页

Effects of swLORETA Z-score neurofeedback in Z-coherence of the fronto-limbic circuit in patients with major depressive disorder swLORETA Z-score神经反馈对重度抑郁症患者额边缘回路z -相干性的影响

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-28 DOI: 10.1016/j.pscychresns.2026.112157

Min-Han Huang , Yi-Chun Yeh , Cheng-Fang Yen , Chiao-Li Khale Ke , Cian-Ruei Jian , Chien-Wen Lin , I-Mei Lin

Patients with major depressive disorder (MDD) exhibit abnormal hypercoherence within the fronto-limbic circuit (FLC), involving core brain regions such as the ventrolateral, ventromedial, dorsolateral, dorsomedial prefrontal cortex (vlPFC, vmPFC, dlPFC, dmPFC), and the amygdala (AMY). This study examined the effects of standardized weighted low-resolution electromagnetic tomography Z-score neurofeedback (swLZNFB) on LFC coherence and emotional symptoms. Sixty-one MDD patients were assigned to either the swLZNFB or control groups. All participants completed the Beck Depression Inventory II (BDI-II), the Beck Anxiety Inventory (BAI), and a five-minute eyes-closed resting-state electroencephalography (EEG) assessment both at pre-test and post-test. EEG coherence values were processed and converted into Z-scores across five frequency bands (delta to high beta), using the NeuroGuide normalization database. Compared to the control group, the swLZNFB group exhibited significantly reduced theta and beta Z-coherence values between vlPFC-AMY and dmPFC-AMY at post-test. Within-group comparisons revealed significantly decreased in beta Z-coherence between vlPFC-AMY from pre-test to post-test. Moreover, the swLZNFB group demonstrated significant decreases in depression and anxiety symptoms, whereas the control group showed improvement in depression only. These findings suggest that swLZNFB effectively modulates FCL hyperconnectivity and alleviates emotional symptoms in MDD, supporting its potential as a non-pharmaceutical intervention targeting dysfunction emotion regulation networks.

重度抑郁症（MDD）患者在额边缘回路（FLC）中表现出异常的高相干性，涉及大脑核心区域，如腹外侧、腹内侧、背外侧、背内侧前额叶皮层（vlPFC、vmPFC、dlPFC、dmPFC）和杏仁核（AMY）。本研究考察了标准化加权低分辨率电磁断层扫描z评分神经反馈（swLZNFB）对LFC一致性和情绪症状的影响。61名重度抑郁症患者被分配到swLZNFB组或对照组。所有参与者在测试前和测试后都完成了贝克抑郁量表II （BDI-II）、贝克焦虑量表（BAI）和5分钟闭眼静息状态脑电图（EEG）评估。使用NeuroGuide归一化数据库对EEG相干值进行处理并转换为五个频带（delta到high beta）的z分数。与对照组相比，swLZNFB组在测试后显示vlPFC-AMY和dmPFC-AMY之间的theta和beta z相干值显著降低。组内比较显示，vlPFC-AMY在测试前和测试后的β z相干性显著降低。此外，swLZNFB组表现出抑郁和焦虑症状的显著减少，而对照组仅表现出抑郁症状的改善。这些发现表明，swLZNFB有效调节FCL超连接并缓解重度抑郁症的情绪症状，支持其作为针对功能障碍情绪调节网络的非药物干预的潜力。

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引用次数: 0

Local and network neural activations and their associations with sleep parameters during threat conditioning and extinction in persons with generalized anxiety disorder with and without insomnia disorder. 伴有或不伴有失眠症的广泛性焦虑障碍患者威胁条件反射和消退过程中局部和网络神经激活及其与睡眠参数的关联

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-24 DOI: 10.1016/j.pscychresns.2026.112152

Jeehye Seo, Cagri Yuksel, Katelyn I Oliver, Carolina Daffre, Huijin Song, Natasha B Lasko, Emma R S McCoy, Mohammed R Milad, Byoung-Kyong Min, Edward F Pace-Schott

Deficient extinction learning and memory are hypothesized mechanisms for pathological anxiety that are associated with sleep disturbance. fMRI neural activations to threat conditioning, extinction learning, and extinction recall were measured. Activations were compared, in persons with Generalized Anxiety Disorder (GAD), between those with moderate to severe Insomnia Disorder (ID) and those with absent or sub-threshold ID. Relationships of activations with measures of sleep quality and physiology were examined. Between-group comparisons and whole-sample correlation with sleep parameters were examined in relation to large-scale brain networks using a liberal cluster-determining threshold. Localized activations were then identified using family-wise error correction. Activations to the reinforced stimulus (CS+) that increased from the beginning to end ("across") threat conditioning were more extensive within the GAD+ID group. Increased activations to the CS+ across extinction learning were greater within the GAD-ID than the GAD+ID group, and delayed 24 h in the latter. Greater sleep efficiency was associated with decreased activations across threat conditioning, but with increased activations across extinction learning. Better sleep quality promoted greater engagement of neural substrates of extinction learning. The GAD+ID group failed to engage brain areas supporting extinction learning immediately following threat conditioning, but did so when stimuli were again presented following a delay.

缺失灭绝学习和记忆是与睡眠障碍相关的病理性焦虑的假设机制。fMRI测量了威胁条件反射、消退学习和消退回忆的神经激活。在广泛性焦虑障碍（GAD）患者中，对中度至重度失眠障碍（ID）患者和无或亚阈值ID患者的激活进行了比较。激活与睡眠质量和生理测量的关系被检查。使用自由聚类决定阈值，研究了与大规模大脑网络相关的组间比较和与睡眠参数的全样本相关性。然后使用家庭纠错来识别局部激活。GAD+ID组对强化刺激（CS+）的激活从开始到结束（“跨”）威胁条件反射的增加更为广泛。GAD-ID组比GAD+ID组在消失学习过程中CS+的激活增加更大，后者延迟24 h。更高的睡眠效率与威胁条件反射的激活减少有关，但与灭绝学习的激活增加有关。更好的睡眠质量促进了灭绝学习的神经基质的更大参与。GAD+ID组在威胁条件反射后未能立即激活支持灭绝学习的大脑区域，但在延迟后再次出现刺激时却能激活。

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引用次数: 0

Assessment of phase-locking factor with visual area-targeted transcranial magnetic stimulation-electroencephalography shows reduced connectivity in schizophrenia: A preliminary study 用目视区域靶向经颅磁刺激-脑电图评估锁相因子显示精神分裂症患者连通性降低：一项初步研究

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-21 DOI: 10.1016/j.pscychresns.2026.112153

Masayuki Ide , Akihiro Tadamura , Takehiro Miyazaki , Yoshiki Inoue , Aya Sekine , Takumi Takahashi , Masashi Tamura , Asaki Matsuzaki , Kiyotaka Nemoto , Hirokazu Tachikawa , Tetsuaki Arai , Masahiro Kawasaki

As pathophysiological mechanisms of schizophrenia remain unclear, the development of reliable biomarkers for the disease is highly anticipated. Electroencephalogram with transcranial magnetic stimulation (TMS-EEG) is a developing technique for assessing mental condition. Phase-locking factors (PLFs) are a parameter of phase synchronization, which can assess the brain connectivity of specific areas. Both visual processing impairments and aberrant brain connectivity are implicated in the pathophysiology of schizophrenia. Here, we compared motor area PLFs using visual area-targeted TMS-EEG between three groups: 15 patients with schizophrenia (SZ), 15 patients with major depressive disorder (MD), and 15 healthy controls (HC). The PLF of the SZ group showed a significant decrease in the theta band compared to the HC group without confounding effects from TMS click noises or antipsychotic medication. The reduction of PLF in the theta band between the visual and motor area could reflect visual processing impairments in schizophrenia. Further experiments with larger sample size and appropriate cognitive tasks are required to confirm our conclusion.

由于精神分裂症的病理生理机制尚不清楚，因此对该疾病的可靠生物标志物的开发备受期待。经颅磁刺激脑电图（TMS-EEG）是一种新兴的精神状态评估技术。锁相因子（PLFs）是相位同步的一个参数，可以评估大脑特定区域的连通性。视觉加工障碍和异常的脑连通性都与精神分裂症的病理生理有关。在这里，我们比较了三组：15名精神分裂症患者（SZ）， 15名重度抑郁症患者（MD）和15名健康对照（HC）的运动区PLFs，使用视觉区域靶向TMS-EEG。与HC组相比，SZ组的PLF在θ波段明显下降，没有TMS咔嗒声或抗精神病药物的混杂影响。视觉和运动区之间的θ波段PLF的减少可以反映精神分裂症的视觉加工障碍。进一步的实验需要更大的样本量和适当的认知任务来证实我们的结论。

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引用次数: 0

Neural evidence for the influence of cognitive control by facial emotion under varying task difficulty in individuals with borderline personality disorder traits 不同任务难度下面部情绪对边缘型人格障碍个体认知控制影响的神经证据

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-21 DOI: 10.1016/j.pscychresns.2026.112150

Si Yang , Lijun Wang , Man Zheng , Suhao Peng

Borderline personality disorder traits (BPD traits) represent subclinical characteristics associated with borderline personality disorder (BPD), which are marked by impaired cognitive control of emotion processing. Although the cognitive control deficit of negative emotions is a core feature of BPD, the characteristics and neural basis of this deficit in non-clinical BPD traits individuals remain unclear. The present study employed a novel facial majority function task (fMFT) combined with event-related potential (ERP) recording to explore the cognitive control of negative facial emotion under varying task difficulty in individuals with high BPD traits. We recruited 50 high BPD traits participants and 50 low BPD traits participants for the fMFT. The behavioral results showed that under low and medium task difficulty conditions, there were no significant differences in reaction time and accuracy between the two groups. However, under negative emotion-high task difficulty conditions, the reaction time of the high BPD traits group was significantly longer than that of the low BPD traits group, and the accuracy was significantly lower than that of the low BPD traits group. The ERP results showed that high BPD traits group exhibited reduced frontal N200 amplitudes and increased parietal P300 amplitudes compared to the low BPD traits group. Furthermore, both groups exhibited decreased LPP amplitudes with increasing task difficulty in positive emotion conditions, but this task difficulty effect was not significant in negative emotion conditions in the high BPD traits group. These findings demonstrate that BPD traits leads to selective deficits in cognitive control of emotion processing, and negative emotion leads to their impairment in the processing of conflict monitoring and inhibition with task difficulty increasing.

边缘型人格障碍（BPD）特征是与边缘型人格障碍（BPD）相关的亚临床特征，其特征是情绪处理的认知控制受损。虽然负面情绪的认知控制缺陷是BPD的核心特征，但这种缺陷在非临床BPD特征个体中的特征和神经基础尚不清楚。本研究采用一种新的面部多数功能任务（fMFT）结合事件相关电位（ERP）记录，探讨不同任务难度下高BPD个体对面部负性情绪的认知控制。我们招募了50名高BPD特征的参与者和50名低BPD特征的参与者进行fMFT。行为测试结果显示，在低、中任务难度条件下，两组在反应时间和准确度上均无显著差异。然而，在负性情绪-高任务难度条件下，高BPD特质组的反应时间显著长于低BPD特质组，准确率显著低于低BPD特质组。ERP结果显示，与低BPD性状组相比，高BPD性状组的额叶N200波幅降低，顶叶P300波幅增加。此外，在积极情绪条件下，两组的LPP振幅随任务难度的增加而降低，但在高BPD特质组的消极情绪条件下，这种任务难度效应不显著。研究结果表明，随着任务难度的增加，BPD特征导致情绪加工认知控制的选择性缺陷，消极情绪导致冲突监测和抑制加工的障碍。

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引用次数: 0

Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach 基于深度学习网络和迁移学习方法的功能性rs-fMRI图像早期诊断阿尔茨海默病

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-21 DOI: 10.1016/j.pscychresns.2026.112151

Azizeh Akbari , Mahda Nasrolahzadeh , Javad Haddadnia

Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal classifiers and poor image representation hinder their effectiveness. Computer-aided diagnosis (CADx) can improve performance by classifying patterns. Despite the drawbacks of deep networks such as Visual Geometric Group (VGG), including long processing times and performance issues due to data distribution, many CADx systems still rely on VGG classifiers due to their potential for high accuracy when properly trained. To tackle these issues, this paper introduces two novel deep networks, called optimized VGG-16 (OVGG-16) and optimized VGG-19 (OVGG-19), in light of the concepts of transfer learning and dense layers to improve diagnosis performance. The proposed system was developed for the diagnosis of AD employing the OVGG-16 and OVGG-19 networks as classifiers from rs-fMRI images. The results show that the convergence rate of the proposed OVGG-16 and OVGG-19 networks is more rapid than that of the conventional VGG-16 and VGG-19. Moreover, the proposed system, which uses the OVGG-16 network, yielded a high accuracy of 100% and 98.83% for binary and multiclass classification, respectively, which surpasses existing state-of-the-art approaches.

利用深度学习方法来加速医学图像的分析和病理结果的解释，以早期诊断阿尔茨海默病（AD），近年来备受关注。然而，次优分类器和糟糕的图像表示等挑战阻碍了它们的有效性。计算机辅助诊断（CADx）可以通过分类模式来提高性能。尽管深度网络（如视觉几何组（VGG））的缺点，包括处理时间长和由于数据分布导致的性能问题，但许多CADx系统仍然依赖于VGG分类器，因为经过适当训练后，VGG分类器具有高精度的潜力。为了解决这些问题，本文根据迁移学习和密集层的概念，引入了两种新型深度网络，分别称为优化的VGG-16 （OVGG-16）和优化的VGG-19 (OVGG-19)，以提高诊断性能。该系统采用OVGG-16和OVGG-19网络作为rs-fMRI图像的分类器，用于AD的诊断。结果表明，OVGG-16和OVGG-19网络的收敛速度比传统的VGG-16和VGG-19网络要快。此外，该系统使用OVGG-16网络，对二分类和多分类的准确率分别达到100%和98.83%，超过了现有的最先进的方法。

{"title":"Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach","authors":"Azizeh Akbari , Mahda Nasrolahzadeh , Javad Haddadnia","doi":"10.1016/j.pscychresns.2026.112151","DOIUrl":"10.1016/j.pscychresns.2026.112151","url":null,"abstract":"<div><div>Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal classifiers and poor image representation hinder their effectiveness. Computer-aided diagnosis (CADx) can improve performance by classifying patterns. Despite the drawbacks of deep networks such as Visual Geometric Group (VGG), including long processing times and performance issues due to data distribution, many CADx systems still rely on VGG classifiers due to their potential for high accuracy when properly trained. To tackle these issues, this paper introduces two novel deep networks, called optimized VGG-16 (OVGG-16) and optimized VGG-19 (OVGG-19), in light of the concepts of transfer learning and dense layers to improve diagnosis performance. The proposed system was developed for the diagnosis of AD employing the OVGG-16 and OVGG-19 networks as classifiers from rs-fMRI images. The results show that the convergence rate of the proposed OVGG-16 and OVGG-19 networks is more rapid than that of the conventional VGG-16 and VGG-19. Moreover, the proposed system, which uses the OVGG-16 network, yielded a high accuracy of 100% and 98.83% for binary and multiclass classification, respectively, which surpasses existing state-of-the-art approaches.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112151"},"PeriodicalIF":2.1,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advances on the application of the Human Brainnetome Atlas in obsessive-compulsive disorder 人脑组图谱在强迫症中的应用进展

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-21 DOI: 10.1016/j.pscychresns.2026.112149

Aosong Chen , Fujian Chen , Chenchen Zhang , Rui Li , Liju Qian , Cong Zhou , Bin Wang , Kun Li

Obsessive-compulsive disorder (OCD) is a chronic psychiatric disorder characterized by persistent intrusive thoughts and repetitive behaviors, significantly impacting patients' quality of life, social functioning, and overall well-being. Recent advances in neuroimaging techniques, particularly the development and application of the Human Brainnetome Atlas (BNA), have provided precise structural and functional subdivisions of the human brain, greatly enhancing the understanding of OCD neuropathology. This review comprehensively summarizes the latest applications of BNA in OCD research, specifically emphasizing detailed analyses of structural and functional connectivity abnormalities within neural circuits, their associations with clinical symptoms, and potential mechanisms underlying these abnormalities. Additionally, the utility of BNA in classifying patient subtypes based on distinct neurobiological profiles and its role in facilitating early diagnostic interventions are discussed. Methodological limitations are also addressed, underscoring the necessity of controlling confounding variables, such as pharmacological treatments and clinical heterogeneity, to strengthen research outcomes. Finally, future research directions are proposed, including the integration of BNA with advanced technologies such as artificial intelligence, multimodal imaging methods, and individualized neuromodulation strategies, to further refine and expand precision medicine approaches in OCD management.

强迫症（Obsessive-compulsive disorder， OCD）是一种以持续侵入性思想和重复性行为为特征的慢性精神疾病，严重影响患者的生活质量、社会功能和整体幸福感。近年来神经成像技术的进步，特别是人类脑组图谱（BNA）的开发和应用，提供了人类大脑的精确结构和功能细分，极大地增强了对强迫症神经病理学的理解。本文全面总结了BNA在强迫症研究中的最新应用，特别强调了神经回路中结构和功能连接异常的详细分析，它们与临床症状的关联，以及这些异常的潜在机制。此外，本文还讨论了BNA在根据不同的神经生物学特征对患者亚型进行分类方面的效用及其在促进早期诊断干预方面的作用。方法上的局限性也得到了解决，强调了控制混杂变量的必要性，如药理学治疗和临床异质性，以加强研究成果。最后，提出了未来的研究方向，包括将BNA与人工智能、多模态成像方法、个性化神经调节策略等先进技术相结合，进一步完善和拓展精准医学在强迫症治疗中的应用。

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引用次数: 0

Impact of genetic variants on hippocampal volume among individuals with schizophrenia and bipolar disorders 基因变异对精神分裂症和双相情感障碍患者海马体积的影响

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-17 DOI: 10.1016/j.pscychresns.2026.112147

Tommaso Toffanin , Giulia Ida Perini , Halima Follador , Filippo Zonta , Giovanni Ferri , Giorgio Pigato , Mario Angelo Pagano , Nadia Scupola , Claudia Pinato , Davide Calosci , Maria Ferrara , Angela Muscettola , Giovanni Antonio De Bellis , Chiara Montemitro , Luigi Zerbinati , Maria Giulia Nanni , Rosangela Caruso , Andrea Escelsior , Alessandra Baratto , Nicola Martino , Martino Belvederi Murri

Background and Hypothesis

Hippocampal volume reduction is a consistent finding in schizophrenia (SCZ) and bipolar disorder type I (BP-I), yet the role of genetic factors remains unclear. We investigated the influence of DISC1 (rs821616), AKT1 (rs1130233), COMT (rs4680), and GSK-3ꞵ(rs334558) polymorphisms on hippocampal morphology.

Study Design

Seventy-one participants (25 SCZ, 22 BP-I, 24 healthy controls, HC) underwent 1.5T MRI and genotyping. Bayesian multilevel models estimated associations between corrected hippocampal volume, diagnosis, hemisphere, and genetic variants.

Study Results

Both SCZ and BP-I showed significantly smaller hippocampal volumes compared with HC (Average Marginal Effects: SCZ vs HC = −1.38; BP-I vs HC = −1.46; probability of direction [PD] = 100%). Rightward asymmetry was preserved across groups. The COMT AA genotype was associated with lower hippocampal volume (AME = −0.67; PD = 99%), while DISC1 AT carriers showed moderate reductions (AME = −0.37; PD = 96%). GSK-3ꞵ contributed to variability but not mean volume, and AKT1 showed no clear effects.

Conclusions

Hippocampal atrophy is a shared marker of SCZ and BP-I, with preserved lateralization. COMT and DISC1 variations appear to modulate hippocampal volume, supporting their role in psychosis vulnerability.

背景和假设海马体积减少是精神分裂症（SCZ）和双相情感障碍I型（BP-I）的一致发现，但遗传因素的作用尚不清楚。我们研究了DISC1 （rs821616）、AKT1 （rs1130233）、COMT （rs4680）和GSK-3ꞵ（rs334558）多态性对海马形态的影响。71名参与者（25名SCZ， 22名BP-I， 24名健康对照，HC）进行1.5T MRI和基因分型。贝叶斯多层模型估计校正海马体积、诊断、半球和遗传变异之间的关联。研究结果SCZ和BP-I的海马体积均明显小于HC（平均边际效应：SCZ vs HC = - 1.38; BP-I vs HC = - 1.46；方向概率[PD] = 100%）。各组间均保持向右不对称。COMT AA基因型与海马体积降低相关（AME = - 0.67, PD = 99%），而DISC1 AT携带者表现出中度减少（AME = - 0.37, PD = 96%）。GSK-3ꞵ对变异有影响，但对平均体积没有影响，AKT1没有明显影响。结论海马萎缩是SCZ和BP-I的共同标志，并保留了侧位。COMT和DISC1的变异似乎可以调节海马体积，支持它们在精神病易感性中的作用。

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引用次数: 0

Testing dopaminergic markers of problematic social media use using neuromelanin-sensitive MRI 使用神经黑色素敏感核磁共振测试社交媒体使用问题的多巴胺能标记物

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-17 DOI: 10.1016/j.pscychresns.2026.112144

Holly Shannon , Matteo Montgomery , Clifford Cassidy , Marianne Lemieux , Jasmin A. Yee , Lisa-Sarah Brunier , Kim G.C. Hellemans , Synthia Guimond

Background

Neuromelanin-sensitive MRI (NM-MRI) has demonstrated potential as a proxy measure of dopamine functioning in the brain. Altered NM-MRI has been associated with substance use disorders, yet remains unexplored in problematic social media use (PSMU). The current study aims to determine whether higher PSMU is linked to lower NM-MRI signal intensity in the substantia nigra and ventral tegmental area (SN-VTA).

Methods

Seventy-two young adults (18–35 years of age) completed the Bergen Social Media Addiction Scale to measure PSMU and underwent an NM-MRI scan. Half of the participants had a first degree relative (FDR) with a psychotic disorder. Within the SN-VTA, the average contrast-to-noise ratio was calculated on NM-MRI images. Linear regressions included NM-MRI signal intensity and PSMU scores, with age, sex, and FDR status as covariates.

Results

Higher levels of PSMU were not significantly associated with average NM-MRI signal intensity in the whole SN-VTA (p = 0.65). Voxelwise analysis revealed ninety-nine voxels with higher NM-signal intensity (p_corrected > 0.05). No significant main effect or interactions were observed for any covariates.

Conclusions

As the first application of NM-MRI to examine dopaminergic markers in relation to PSMU, these results highlight the importance of further studying brain correlates of PSMU beyond dopaminergic neuroadaptation.

神经黑色素敏感MRI （NM-MRI）已被证明有潜力作为大脑中多巴胺功能的替代测量。改变的核磁共振成像与物质使用障碍有关，但在有问题的社交媒体使用（PSMU）中仍未被探索。本研究旨在确定高PSMU是否与黑质和腹侧被盖区（SN-VTA）的低NM-MRI信号强度有关。方法72名18-35岁的年轻人完成了卑尔根社交媒体成瘾量表（Bergen Social Media Addiction Scale）来测量PSMU，并进行了核磁共振成像（nmr）扫描。一半的参与者有一级亲属（FDR）患有精神病。在SN-VTA内，计算NM-MRI图像的平均噪比。线性回归包括NM-MRI信号强度和PSMU评分，协变量为年龄、性别和FDR状态。结果高PSMU水平与整个SN-VTA的平均NM-MRI信号强度无显著相关性（p = 0.65）。体素分析显示，99个体素具有较高的纳米信号强度（预校正>； 0.05）。未观察到任何协变量的显著主效应或相互作用。结论这是NM-MRI首次应用于检测与PSMU相关的多巴胺能标志物，这些结果强调了进一步研究PSMU的脑相关因素的重要性，而不是多巴胺能神经适应。

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引用次数: 0

“Summertime sadness”: Striatal dopamine binding decreases during warmer seasons in patients with severe depression “夏日悲伤”：严重抑郁症患者的纹状体多巴胺结合在温暖的季节会减少

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-16 DOI: 10.1016/j.pscychresns.2026.112145

Antonio Maria D’Onofrio , Daniela Di Giuda , Eleonora Maggio , Daniele Antonio Pizzuto , Fabrizio Cocciolillo , Federica Cavallo , Rosaria Calia , Alessio Simonetti , Delfina Janiri , Alexia Koukopoulos , Mauro Pettorruso , Giovanni Martinotti , Gabriele Sani , Giovanni Camardese

Background and aim

Seasonal changes, particularly increased daylight exposure, are known to influence dopamine transporter (DAT) availability, potentially affecting mood disorders such as major depressive disorder (MDD). This study aimed to evaluate seasonal variations in the striatum using ¹²³I-FP-CIT SPECT in patients with MDD, and examine associations with specific psychopathological symptoms.

Methods

In this retrospective study, DAT SPECT scans from 85 patients with MDD were analyzed according to the season of imaging—fall-winter (FW) or spring-summer (SS). Psychometric assessments included the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), Snaith-Hamilton Pleasure Scale (SHAPS), and Depression Retardation Rating Scale (DRRS).

Results

No overall differences in DAT availability were observed between FW and SS. However, anhedonia levels were higher in FW (p = 0.050). Patients with severe depression (HAMD ≥ 25) showed lower DAT availability in the left putamen, especially during SS (p = 0.014). Patients with marked psychomotor retardation (DRRS ≥ 18) exhibited reduced DAT availability in the left putamen (p = 0.002), with further reductions across all striatal regions during SS. Patients with suicidal ideation showed decreased DAT in the right (p = 0.029) and left putamen (p = 0.015). A negative correlation was found between DRRS scores and left putamen DAT availability (p = 0.034).

Conclusion

Reduced DAT availability is associated with key depressive symptoms, notably psychomotor retardation and suicidal ideation. Seasonal effects, especially in the SS period, may exacerbate dopaminergic dysregulation. These findings support integrating seasonal and neurobiological factors in the assessment and management of severe MDD.

背景和目的季节变化，特别是日光照射增加，已知会影响多巴胺转运体（DAT）的可用性，可能影响心境障碍，如重度抑郁症（MDD）。本研究旨在利用¹²³I-FP-CIT SPECT评估MDD患者纹状体的季节性变化，并检查与特定精神病理症状的关联。方法回顾性分析85例重度抑郁症患者的数据SPECT扫描结果，根据影像季节——秋冬（FW）或春夏（SS）进行分析。心理测量评估包括汉密尔顿抑郁评定量表（HAMD）、汉密尔顿焦虑评定量表（HAMA）、Snaith-Hamilton快乐评定量表（SHAPS）和抑郁迟缓评定量表（DRRS）。结果FW组与SS组在DAT可用性上无明显差异，但快感缺乏水平在FW组较高（p = 0.050）。重度抑郁症患者（HAMD≥25）左侧壳核DAT可用性较低，尤其是在SS期间（p = 0.014）。精神运动发育迟滞（DRRS≥18）的患者表现出左壳核DAT可用性降低（p = 0.002），在SS期间所有纹状体区域的DAT可用性进一步降低。有自杀意念的患者表现出右侧（p = 0.029）和左侧壳核DAT可用性降低（p = 0.015）。DRRS评分与左壳核DAT可用性呈负相关（p = 0.034）。结论数据可得性降低与主要抑郁症状有关，尤其是精神运动迟缓和自杀意念。季节性影响，特别是在SS期，可能加剧多巴胺能失调。这些发现支持将季节性和神经生物学因素整合到重度重度抑郁症的评估和管理中。

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引用次数: 0

Formal thought disorder and familial risk in first-episode psychosis: A study of cortical thickness and neuroimaging-transcriptomic association analysis 首发精神病的形式思维障碍和家族性风险：皮质厚度和神经成像-转录组学关联分析的研究

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging

Pub Date : 2026-01-16 DOI: 10.1016/j.pscychresns.2026.112148

Tuğçe Çabuk , Yuanchao Zhang , Lena Palaniyappan , Didenur Şahin-Çevik , Hanife Avcı , Işık Batuhan Çakmak , Helin Yılmaz Kafalı , Bedirhan Şenol , Kader Karlı Oğuz , Timothea Toulopoulou

Formal thought disorder (FTD), a prominent feature of schizophrenia, encompasses disruptions in thought, language, and communication. This study examines cortical thickness (CT) alterations in first-episode psychosis (FEP) patients (N = 24), their siblings (SIB) (N = 21), and healthy controls (CON) (N = 21) to explore potential neural correlates of FTD. Using structural MRI, we analyzed whole-brain CT and its relationship with positive and negative FTD measured by Thought and Language Index. Out-of-sample spatial correlations of gene expression with regional CT were also performed using a transcriptomic dataset. FEP had significant CT reductions in right middle frontal gyrus (MFG) compared with SIB and CON and in superior frontal gyrus (SFG) compared to CON; but SIB did not differ from CON. GLM analyses demonstrated that negative FTD exerted a significant main effect on CT in the MFG and SFG. By contrast, positive FTD showed no significant associations with CT. Neuroimaging-transcriptomic association analysis identified key biological pathways linked to cortical morphology. These findings emphasize the specific association between negative FTD and CT alterations in frontal brain regions, confirming prior reports. Future research should examine larger cohorts and investigate additional FTD subtypes to further elucidate neural correlates and potential familial risks of schizophrenia.

形式思维障碍（FTD）是精神分裂症的一个显著特征，包括思维、语言和交流的中断。本研究检测了首发精神病（FEP）患者（N = 24）、他们的兄弟姐妹（SIB）（N = 21）和健康对照（CON）（N = 21）的皮质厚度（CT）改变，以探索FTD的潜在神经相关性。利用结构MRI分析全脑CT及其与思维语言指数测量的FTD阳性和阴性的关系。样本外基因表达与区域CT的空间相关性也使用转录组数据集进行。与SIB和CON相比，FEP在右侧额叶中回（MFG）和额叶上回（SFG）中有显著的CT减少；但SIB与con没有差异。GLM分析表明，阴性FTD对MFG和SFG的CT有显著的主要影响。相反，FTD阳性与CT无显著相关性。神经成像-转录组关联分析确定了与皮质形态相关的关键生物学途径。这些发现强调了FTD阴性与额叶脑区CT改变之间的特定关联，证实了先前的报道。未来的研究应该检查更大的队列，并调查更多的FTD亚型，以进一步阐明精神分裂症的神经相关性和潜在的家族性风险。

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