Journal of psychiatric research最新文献_第7页

Cognitive disengagement syndrome: The same as or different from attention-deficit hyperactivity disorder? An examination based on biochemical parameters 认知脱离综合症：与注意缺陷多动障碍相同还是不同？一种基于生化参数的检查。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.029

Öznur Adıgüzel Akman , Enes Sarıgedik

Objectives

The aim of this study was to determine whether there are differences in the biochemical blood parameters between individuals with Cognitive Disengagement Syndrome (CDS) and Attention Deficit Hyperactivity Disorder (ADHD), and to investigate the relationship between vitamin levels and these disorders, as well as their impact on symptom severity.

Methods

The study included 35 patients with ADHD, 35 patients with both ADHD and CDS, and 35 healthy control subjects who presented to the child and adolescent psychiatry outpatient clinic between January 2022 and 2023, matched for age and gender. Children aged 7–15 were included in the study. Participants were administered a sociodemographic data form, DSM-IV Based Screening and Assesment Scale for Disruptive Behavior Disorders- Parent form (DBSAS-DBD) and the Barkley Child Attention Scale (BCAS). Hemogram parameters, iron, ferritin, Thyroid Stimulating Hormone (TSH), T3, T4, and vitamin levels (B12, folic acid, vitamin D) were analyzed for all participants.

Results

Of the participants, 78 (74.3%) were male, and 27 (25.7%) were female. In the analysis, Vitamin B12 and D levels were found to be significantly lower in the ADHD + CDS group compared to both the ADHD group and the control group (p = 0.04; p = 0.03; p = 0.009 p = 0.004 respectively). Hemoglobin levels did not significantly differ between the ADHD + CDS group and the ADHD group, but were significantly higher in the ADHD + CDS group compared to the control group (p = 0.004). Ferritin levels were significantly lower in both the ADHD + CDS group and the ADHD group (p < 0.001; p < 0.001, respectively).

Conclusions

The significant decrease in vitamin B12 and vitamin D in the CDS + ADHD group may be related to daytime sleepiness and slow cognitive processes in the CDS clinic. Screening for nutritional deficiencies in individuals with CDS may be beneficial for clinical management, and identifying differences in blood parameters of CDS from ADHD will contribute to a better understanding of this clinical condition. This is an exploratory study with a rather small sample size, in which many outcomes were examined. Further studies with larger and more diverse samples will provide a more comprehensive understanding of the biochemical foundations of these two conditions.

目的：本研究旨在了解认知脱离综合征（CDS）和注意缺陷多动障碍（ADHD）患者血液生化指标是否存在差异，探讨维生素水平与这两种疾病的关系及其对症状严重程度的影响。方法：研究纳入了35名ADHD患者、35名ADHD和CDS合并患者，以及35名年龄和性别匹配的健康对照组，这些患者于2022年1月至2023年1月在儿童和青少年精神病门诊就诊。研究对象包括7-15岁的儿童。参与者接受社会人口学数据表、基于DSM-IV的破坏性行为障碍筛查和评估量表-家长表（DBSAS-DBD）和巴克利儿童注意力量表（BCAS）。对所有参与者的血象参数、铁、铁蛋白、促甲状腺激素（TSH）、T3、T4和维生素水平（B12、叶酸、维生素D）进行分析。结果：男性78人（74.3%），女性27人（25.7%）。在分析中，与ADHD组和对照组相比，ADHD + CDS组的维生素B12和D水平显著降低(p = 0.04；p = 0.03；P = 0.009 P = 0.004)。血红蛋白水平在ADHD + CDS组和ADHD组之间无显著差异，但ADHD + CDS组明显高于对照组（p = 0.004）。结论：CDS + ADHD组维生素B12和维生素D水平显著降低可能与CDS临床中日间嗜睡和认知过程缓慢有关。筛查CDS患者的营养缺乏症可能对临床管理有益，识别ADHD患者血液参数的差异将有助于更好地了解这种临床状况。这是一项探索性研究，样本量相当小，其中检查了许多结果。进一步研究更大、更多样化的样本将提供对这两种情况的生化基础的更全面的了解。

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引用次数: 0

Exercise as a mediator between childhood adversity and psychological distress: Can BDNF moderate the mediating effect? 运动在童年逆境和心理困扰之间的中介作用：BDNF能否调节其中介作用？

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.017

Jia Chi Chan , Chih-Ting Lee , Yee-How Say , Yu-Fang Lin , Meng-Che Tsai

Background

Adverse childhood events (ACEs) have been associated with an increased risk of psychiatric disorders in young adulthood. To identify at-risk individuals and potential strategies to combat the negative impacts of ACE, this study investigated the mediating role of exercise in the relationship between psychological distress and ACEs. Further, we examined the moderating effect of the BDNF polymorphism in the mediation relationship.

Methods

Participants (N = 750, Mage = 20.1 years) completed questionnaires assessing ACEs divided into adverse environment (AE) and childhood maltreatment (CM), exercise, and psychological distress. Salivary genomic DNA was used for genotyping. The significance of the moderated mediation model was assessed using bootstrapping.

Results

There was a significant association between ACEs and psychological distress mediated by exercise. After addition of BDNF polymorphism, we found that the effect of ACEs on psychological distress through exercise was moderated by the BDNF polymorphism (index of moderated mediation = −0.19, [-0.48, −0.04], p-value ≤0.05). Further dividing ACE into AE and CM, the moderated mediation relationship remains significant only with AE (index of moderated mediation = −0.41, [-0.99, −0.10], p-value ≤0.05).

Conclusions

The interaction between BDNF polymorphism and exercise may be a suitable target for interventions in ACEs-experienced individuals for the prevention or reduction of psychological distress.

背景：童年不良事件（ace）与成年早期精神疾病的风险增加有关。为了确定ACE的高危人群和潜在的应对策略，本研究探讨了运动在心理困扰和ACE之间的中介作用。进一步，我们研究了BDNF多态性在中介关系中的调节作用。方法：参与者（N = 750，年龄20.1岁）完成不良环境（AE）和童年虐待（CM）、运动和心理困扰等方面的不良经历评估问卷。唾液基因组DNA进行基因分型。采用自举法评估被调节中介模型的显著性。结果：ace与运动引起的心理困扰有显著相关。在加入BDNF多态性后，我们发现ace对运动心理困扰的影响被BDNF多态性调节（调节中介指数= -0.19,[-0.48,-0.04]，p值≤0.05）。进一步将ACE分为AE和CM，只有AE的调节中介关系仍然显著（调节中介指数= -0.41,[-0.99,-0.10]，p值≤0.05）。结论：BDNF多态性与运动之间的相互作用可能是ace患者预防或减少心理困扰的合适干预目标。

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引用次数: 0

Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study 基于脑血流和脑结构识别重度抑郁症：一项可解释的多模态学习研究。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.001

Jinlong Hu , Yaqian Hou , Bo Peng , Bin Liao , Ziyun Xu , Gangqiang Hou , Shoubin Dong

Magnetic resonance imaging (MRI) offers non-invasive assessments of brain structure and function for analyzing brain disorders. With the increasing accumulation of multimodal MRI data in recent years, integrating information from various modalities has become an effective strategy for improving the detection of brain disorders. This study focuses on identifying major depressive disorder (MDD) by using arterial spin labeling (ASL) perfusion MRI in conjunction with structural MRI data. We collected ASL and structural MRI data from 260 participants, including 169 MDD patients and 91 healthy controls. We developed an explainable fusion method to identify MDD, utilizing cerebral blood flow (CBF) data from ASL perfusion MRI and brain tissue volumes from structural MRI. The fusion model, which integrates multimodal data, demonstrated superior predictive performance for MDD. By combining MRI regional volumes with CBF data, we achieved more effective results than using each modality independently. Additionally, we analyzed feature importance and interactions to explain the fusion model. We identified fourteen important features, comprising eight regional volumes and six regional CBF measures, that played a crucial role in the identification of MDD. Furthermore, we found three feature interactions among the important features and seven interactions between structural and functional features, which were particularly prominent in the model. The results of this study suggest that the fusion learning approach, which integrates ASL and structural MRI data, is effective in detecting MDD. Moreover, the study demonstrates that the model explanation method can reveal key features that influence the decisions of models, as well as potential interactions among these key features or between functional and structural features in identifying MDD.

磁共振成像（MRI）为分析脑部疾病提供了对大脑结构和功能的非侵入性评估。近年来，随着多模态MRI数据的不断积累，整合各种模态的信息已成为提高脑部疾病检测的有效策略。本研究的重点是通过动脉自旋标记（ASL）灌注MRI结合结构MRI数据识别重度抑郁症（MDD）。我们收集了260名参与者的ASL和结构MRI数据，其中包括169名重度抑郁症患者和91名健康对照。我们开发了一种可解释的融合方法来识别MDD，利用ASL灌注MRI的脑血流量（CBF）数据和结构MRI的脑组织体积。该融合模型集成了多模态数据，显示了对MDD的卓越预测性能。通过将MRI区域体积与CBF数据相结合，我们获得了比单独使用每种模式更有效的结果。此外，我们分析了特征的重要性和相互作用来解释融合模型。我们确定了14个重要特征，包括8个区域卷和6个区域CBF措施，它们在MDD的识别中发挥了关键作用。此外，我们发现重要特征之间有3个特征交互作用，结构特征与功能特征之间有7个特征交互作用，这些交互作用在模型中尤为突出。本研究结果表明，融合ASL和结构MRI数据的融合学习方法在检测MDD方面是有效的。此外，研究表明，模型解释方法可以揭示影响模型决策的关键特征，以及这些关键特征之间或功能特征与结构特征之间的潜在相互作用，以识别MDD。

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引用次数: 0

The relevance of endoplasmic reticulum lumen and Anoctamin-8 for major depression: Results from a systems biology study

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.039

Sofia Cid de Azevedo , Jacson Gabriel Feiten , Marcelo P. Fleck , Marco Antonio Caldieraro

Major depressive disorder (MDD) is a highly prevalent and debilitating disorder, yet its pathophysiology has not been fully elucidated. The aim of this study is to identify novel potential proteins and biological processes associated with MDD through a systems biology approach. Original articles involving the measurement of proteins in the blood of patients diagnosed with MDD were selected. Data on the differentially expressed proteins (DEPs) in each article were extracted and imported into R, and the pathfindR package was used to identify the main gene ontology terms involved. Data from the STRING database were combined with the DEPs identified in the original studies to create expanded networks of protein-protein interactions (PPIs). An R script was developed to obtain the five most reliable connections from each DEP and to create the networks, which were visualized through Cytoscape software. Out of 510 articles found, eight that contained all the values necessary for the analysis were selected, including 1112 adult patients with MDD and 864 controls. A total of 240 DEPs were identified, with the most significant gene ontology term being “endoplasmic reticulum lumen” (46 DEPs, p-value = 5.5x10⁻¹³). An extended PPI network was obtained, where Anoctamin-8 was the most central protein. Using systems biology contributed to the interpretation of data obtained in proteomic studies on MDD and expanded the findings of these studies. The combined use of these methodologies can provide new insights into the pathophysiology of psychiatric disorders, identifying novel biomarkers to improve diagnostic, prognostic, and treatment strategies in MDD.

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引用次数: 0

Altered controllability of functional brain networks in obsessive-compulsive disorder

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.052

Ya Tian , Wenqing Shi , Qiuying Tao , Huiting Yang , Huirong Guo , Baohong Wen , Zijun Liu , Jin Sun , Huafu Chen , Yong Zhang , Jingliang Cheng , Shaoqiang Han

Disruptions in the dynamic transitions between brain states have been implicated in cognitive, emotional, and behavioral dysregulations across various mental disorders. However, the irregularities in dynamic brain state transitions associated with obsessive-compulsive disorder (OCD) remain unclear. The present study included 99 patients with OCD and 104 matched healthy controls (HCs) to investigate alterations in dynamic brain state transitions by using network control theory. Functional controllability metrics were computed and compared between the OCD group and HCs. Additionally, abnormal functional connectivity (FC) between the brain regions with statistical differences in functional controllability and remaining brain regions were assessed. Patients with OCD exhibited significantly decreased average controllability (AC) and increased modal controllability (MC) in the right parahippocampal gyrus (PHG), compared to the HCs. Further analysis showed significantly decreased FC between the right PHG and bilateral superior temporal gyrus and occipital gyrus, left postcentral gyrus, and right cingulate gyrus in OCD patients. The results suggest aberrant brain state transitions in OCD patients, alongside widespread disruptions within the brain functional connectome. This study highlights the critical role of altered functional controllability within the right PHG in the neuropathological mechanisms of OCD, providing novel insights into the pathogenesis of OCD.

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引用次数: 0

EEG alpha activity as predictor for TBS-rTMS treatment outcome in depression 脑电图α活动预测TBS-rTMS治疗抑郁症的预后。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.002

Barbora Provaznikova, Anna Monn, Erich Seifritz, Golo Kronenberg, Sebastian Olbrich

Repetitive transcranial magnetic stimulation (rTMS) is an established psychiatric procedure for patients suffering from treatment-resistant depression (TRD). Biomarker identification to predict rTMS outcomes may assist the clinician in optimizing treatment selection. In recent years, different electrophysiological markers, in particular electroencephalographic (EEG) markers, were shown to yield discriminative power between responders and non-responders to various TRD treatments. However, so far, predictive markers for the Theta Burst Stimulation (TBS) protocol have remained scarce. The present study, therefore, aimed to identify such markers. Resting state EEGs of 10–15 min were done in a group of 46 TRD patients prior to rTMS TBS treatment (600 stimuli over the left dorsolateral prefrontal cortex). Each patient underwent 19–21 sessions with 4–5 sessions per week. Depression was assessed using the Hamilton Depression Rating Scale and the Beck Depression Inventory II. Our study demonstrated that responders exhibited significantly lower FAA values in a baseline EEG indicating that left frontal alpha dominance was associated with a positive response to TBS-rTMS in TRD patients. FAA was independent of both gender and age. No other biomarker, including alpha peak frequency, or alpha power, showed a significant difference between responders and non-responders. Taken together, FAA observed in EEG readings is emerging as a promising indicator of treatment outcomes in patients with TRD. Given these findings, we suggest considering FAA as a predictive factor when assessing the effectiveness of therapeutic interventions. Further studies replicating these results in larger, diverse populations are needed to confirm FAA as a reliable biomarker of clinical outcome.

重复经颅磁刺激（rTMS）是治疗难治性抑郁症（TRD）患者的一种成熟的精神病学治疗方法。生物标志物鉴定预测rTMS结果可能有助于临床医生优化治疗选择。近年来，不同的电生理标记，特别是脑电图（EEG）标记，显示出对各种TRD治疗的反应者和无反应者之间的区别能力。然而，到目前为止，Theta脉冲刺激（TBS）方案的预测标记仍然很少。因此，本研究旨在确定这些标记。在rTMS TBS治疗前，对46例TRD患者进行10-15分钟的静息状态脑电图（600次刺激左背外侧前额皮质）。每位患者接受19-21次治疗，每周4-5次。使用汉密尔顿抑郁评定量表和贝克抑郁量表II对抑郁进行评估。我们的研究表明，应答者在基线脑电图中表现出明显较低的FAA值，表明左额叶α优势与TRD患者对TBS-rTMS的阳性反应有关。FAA与性别和年龄无关。其他生物标志物，包括α峰频率或α功率，在应答者和无应答者之间没有显着差异。综上所述，脑电图读数中观察到的FAA正在成为TRD患者治疗结果的一个有希望的指标。鉴于这些发现，我们建议在评估治疗干预措施的有效性时考虑FAA作为预测因素。需要进一步的研究在更大的、不同的人群中复制这些结果，以证实FAA是临床结果的可靠生物标志物。

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引用次数: 0

Assessment of pandemic-related pregnancy stress from seven western countries using Rasch analyses 使用Rasch分析评估七个西方国家与大流行相关的妊娠压力。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2024.12.045

Blanca Riquelme-Gallego , Jorge Luis Ordoñez-Carrasco , Claudia Suárez-Yera , Antonio Jose Rojas-Tejada , Heidi Preis , Marci Lobel , Brittain Mahaffey , Rita Amiel Castro , Shir Atzil , Matteo Balestrieri , Anna Brandt-Salmeri , Chiara Colli , Lorenza Driul , Marco Garzitto , Michalina Ilska , Anna Kołodziej-Zaleska , Pearl La Marca-Ghaemmaghami , Hannah Meyerhoff , Chiara Penengo , Inbal Reuveni , Rafael A. Caparros-Gonzalez

Introduction

This study examined psychometric properties of the Pandemic-Related Pregnancy Stress Scale (PREPS) using a Rasch Model (RM) in a large sample of pregnant women from Germany, Israel, Italy, Poland, Spain, Switzerland and the United States of America (USA).

Material and methods

Rasch analyses were used to analyze a sample of 7185 pregnant women who completed the PREPS during the COVID-19 pandemic onset from April to August 2020. Psychological, sociodemographic, and obstetric factors were also collected and analyzed.

Results

12-item and 15-item PREPS versions showed acceptable fit indices. The separation index for persons on both versions allows to distinguish more than two levels of performance and for items (high and low performers). For items, it was above 30 and the strata value for items was above 45. The category probability curves for the 12-item version showed that threshold parameter categories showed a coherent order with the meaning of the response options. However, this did not occur in the 15-item version. The item-person map showed that each item is represented by an equal length of the segment, and its threshold parameters differ only in the stress severity values. Also, there is an overlap of items. Finally, DIF analysis showed many CC-rated items as well as many items with a BB rating could be revised.

Conclusions

The implications of this psychometric study lie in the importance of having accurate measures of the stress that pregnant women in various parts of the world have experienced due to the COVID-19 pandemic.

本研究使用Rasch模型（RM）对来自德国、以色列、意大利、波兰、西班牙、瑞士和美利坚合众国的孕妇进行了大流行相关妊娠压力量表（PREPS）的心理测量特性研究。材料和方法：采用Rasch分析方法对2020年4月至8月COVID-19大流行发病期间完成PREPS的7185名孕妇样本进行分析。还收集和分析了心理、社会人口和产科因素。结果：12项和15项PREPS版本的拟合指标均可接受。两个版本上的人员分离指数允许区分两个以上的绩效水平和项目（高绩效和低绩效）。项目的分层值在30以上，项目的分层值在45以上。12项版本的类别概率曲线显示，阈值参数类别与回答选项的含义顺序一致。然而，这在15个项目的版本中没有发生。项目-人图显示，每个项目都由相同长度的片段表示，其阈值参数仅在应力严重性值上有所不同。此外，项目也存在重叠。最后，DIF分析显示，许多cc级项目和许多BB级项目都可以修改。结论：这项心理测量学研究的意义在于，准确测量世界各地孕妇因COVID-19大流行而承受的压力非常重要。

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引用次数: 0

Challenges in maintaining remission after ECT – Insights from a six-month follow up study 电痉挛治疗后维持缓解的挑战——六个月随访研究的启示。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.009

Linda van Diermen , Simon Lambrichts , Jesse Berwouts , Kaat Hebbrecht , Seline van den Ameele , Violette Coppens , Jean-Baptiste Belge , Didier Schrijvers , Tom Birkenhäger

Introduction

Electroconvulsive therapy (ECT) is a widely recognized treatment for severe depressive disorders, particularly in cases of inadequate response to pharmacological interventions or when rapid symptom relief is essential. Although ECT demonstrates high efficacy, a notable proportion of patients relapse after a successful ECT course.

Methods

This study investigated clinical baseline characteristics and residual depressive symptoms associated with relapse – defined as a Montgomery-Åsberg Depression Rating Scale (MADRS) score >15, restart of ECT, or suicide attempt - within six months after successful ECT. Data were obtained from the PROTECT study, a single-site, prospective cohort study conducted at the University Psychiatric Center Duffel, Belgium.

Results

– Among the 65 patients who completed the ECT course, 40 patients (62%) achieved remission. At six months, 32 patients were reassessed, and 18 (56%) of them experienced relapse. No significant associations were identified between relapse and baseline factors, including age, social circumstances, baseline depression severity, psychomotor symptoms, cognitive functioning, treatment resistance, lithium use, or the presence of psychotic or melancholic features. Residual depressive symptoms at the end of the ECT course also did not predict relapse.

Discussion

– The observed high relapse rate underscores the critical need for robust continuation and maintenance strategies following ECT. Future research should prioritize larger cohorts to better identify predictors of relapse and optimize post-ECT treatment protocols.

电痉挛疗法（ECT）是一种被广泛认可的治疗严重抑郁症的方法，特别是在对药物干预反应不足或必须快速缓解症状的情况下。尽管电痉挛疗法疗效显著，但在成功的电痉挛治疗后，仍有相当比例的患者复发。方法：本研究调查了临床基线特征和与复发相关的残留抑郁症状-定义为蒙哥马利-Åsberg抑郁评定量表（MADRS）评分bbb15，重新开始ECT或自杀企图-成功电痉挛治疗后6个月内。数据来自PROTECT研究，这是一项在比利时Duffel大学精神病学中心进行的单点前瞻性队列研究。结果：在完成电痉挛治疗的65名患者中，40名患者（62%）获得缓解。在6个月时，对32例患者进行了重新评估，其中18例（56%）复发。复发与基线因素（包括年龄、社会环境、基线抑郁严重程度、精神运动症状、认知功能、治疗抵抗、锂离子使用或精神病或忧郁特征的存在）之间没有显著关联。电痉挛治疗结束时残留的抑郁症状也不能预测复发。讨论：观察到的高复发率强调了ECT后强有力的持续和维持策略的必要性。未来的研究应优先考虑更大的队列，以更好地确定复发的预测因素，并优化ect后的治疗方案。

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引用次数: 0

EEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder 强迫症患者脑电微态分析与机器学习分类。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.005

Mohan Ma , Bingxun Lu , Yumei Gong , Chuman Xiao , Yumeng Yang , Yumeng Ju , Zhenman Xi , Yang Gao , Xiaolin Ning , Yan Zhang

Background

Microstate characterization of electroencephalogram (EEG) is a data-driven approach to explore the functional changes and interrelationships of multiple brain networks on a millisecond scale. This study aimed to explore the pathological changes of whole-brain functional networks in patients with obsessive-compulsive disorders (OCD) through microstate analysis and further to explore its potential value as an auxiliary diagnostic index.

Methods

Forty-eight OCD patients (33 with more than moderate anxiety symptoms, 15 with mild anxiety symptoms) and 52 healthy controls (HCs) were recruited. Brain activities during eyes-closed period were collected using 64-channel electroencephalography. The differences in microstate features between OCD patients and HCs were compared, and the relationship between the microstate features and clinical symptoms were explored. Key microstate features were selected for machine learning modeling to achieve targeted classifications.

Results

The probability of transition from microstate B to C was significantly lower in OCD patients compared to HCs, and the obsessive thoughts factor scores were significantly correlated with the duration of microstate A, the occurrence of microstate B, and the transition probability from microstate C to B. The occurrence rate of microstate C was significantly negatively correlated with the Hamilton rating scale for anxiety (HAMA) scores. The AUC (Area Under the Receiver Operating Characteristic Curve) of the machine learning model in the test set classification between the above two groups and between OCD patients with more than moderate/mild anxiety symptoms could achieve 70.43% and 77.13%, respectively.

Conclusion

EEG microstate characteristics were altered in OCD patients, and these changes were closely associated with obsessive thoughts and anxiety symptoms. Besides, the machine learning classification model based on microstate features has limited ability to identify OCD, and further optimization on this classification approach is still needed in the future.

背景：脑电图（EEG）的微观状态表征是一种数据驱动的方法，用于在毫秒尺度上探索多个大脑网络的功能变化和相互关系。本研究旨在通过微观状态分析，探讨强迫症患者全脑功能网络的病理变化，进一步探讨其作为辅助诊断指标的潜在价值。方法：招募48例强迫症患者（中度以上焦虑症状33例，轻度焦虑症状15例）和52例健康对照（hc）。采用64通道脑电图采集闭眼期脑活动。比较强迫症患者与hc患者微状态特征的差异，探讨微状态特征与临床症状的关系。选择关键的微状态特征进行机器学习建模，实现目标分类。结果：强迫症患者从微观状态B过渡到微观状态C的概率显著低于正常强迫症患者，强迫思维因子得分与微观状态A持续时间、微观状态B的发生、从微观状态C过渡到微观状态B的概率显著相关，微观状态C的发生率与汉密尔顿焦虑评定量表（HAMA）得分显著负相关。机器学习模型在上述两组之间和中/轻度以上焦虑症状的OCD患者之间的测试集分类中AUC （Area Under The Receiver Operating Characteristic Curve）分别可以达到70.43%和77.13%。结论：强迫症患者脑电图微态特征发生改变，且与强迫思想和焦虑症状密切相关。此外，基于微状态特征的机器学习分类模型对强迫症的识别能力有限，未来还需要对该分类方法进行进一步优化。

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引用次数: 0

Inhibition of emotional faces in clinical and subclinical depression 临床和亚临床抑郁症中情绪面孔的抑制。

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research

Pub Date : 2025-02-01 DOI: 10.1016/j.jpsychires.2025.01.025

Nathan Ridout , Barbara Dritschel , Hannah Wardall , Richard Day , Ronan O'Carroll

Impaired inhibition of emotional material is an important cognitive component of depression. The current aim was to determine if participants with major depression (MDD) and/or subclinical depression (dysphoria) exhibit impaired inhibition of sad faces on a face-word variant of the Stroop task. Study 1: patients with MDD (n = 28) and healthy controls (n = 32) were presented with positive and negative words superimposed across happy, sad, and neutral faces. Study 2: dysphoric (n = 23) and non-dysphoric (n = 35) participants were presented with positive and negative words superimposed across happy and sad faces (shown upright and inverted). Participants were told to ignore the faces and categorise the words. Patients with MDD experienced greater interference from sad faces than did the controls. Healthy controls experienced greater interference from happy than sad faces, whereas interference levels from happy and sad faces did not differ in patients with MDD. Dysphoric participants experienced greater interference from sad faces than did non-dysphoric participants, and from sad faces than happy. The amount of interference from happy and sad faces did not differ in the non-dysphoric participants. Clinical and subclinical depression are linked to impaired inhibition of sad faces, which might represent a risk factor for depression and a potential target for intervention.

情绪物质抑制受损是抑郁症的一个重要认知组成部分。目前的目的是确定重度抑郁症（MDD）和/或亚临床抑郁症（烦躁不安）的参与者是否在Stroop任务的脸-词变体中表现出对悲伤面孔的抑制受损。研究1：向MDD患者（n = 28）和健康对照（n = 32）呈现积极和消极词汇，这些词汇叠加在快乐、悲伤和中性的脸上。研究2：向焦虑（n = 23）和非焦虑（n = 35）的参与者展示了积极和消极的单词，叠加在快乐和悲伤的脸上（显示为直立和倒立）。参与者被告知忽略这些面孔，并对单词进行分类。重度抑郁症患者比对照组更容易受到悲伤面孔的干扰。健康对照组受到快乐面孔比悲伤面孔更大的干扰，而重度抑郁症患者受到快乐面孔和悲伤面孔的干扰程度没有差异。与非焦虑的参与者相比，焦虑的参与者受到悲伤面孔的干扰更大，而悲伤面孔的干扰比快乐面孔的干扰更大。在非焦虑的参与者中，来自快乐和悲伤面孔的干扰量没有差异。临床和亚临床抑郁症与悲伤面孔的抑制能力受损有关，这可能是抑郁症的一个危险因素，也是干预的潜在目标。

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