Depression and Anxiety最新文献

{"title":"Emotional Granularity and Cognitive Reappraisal Affect Social Anxiety and Interpersonal Relationships in Adolescents: A Bayesian Network Analysis","authors":"Wen Lian,&nbsp;Xinyi Zhu,&nbsp;Tingting Xu,&nbsp;Lu Fan,&nbsp;Yuqi Sun","doi":"10.1155/da/8658973","DOIUrl":"https://doi.org/10.1155/da/8658973","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Emotional granularity (EG), the ability to finely distinguish emotional experiences, plays a crucial role in emotion regulation and social interactions. This study measures EG using a standardized experimental procedure and assesses related variables through questionnaires. We employ both undirected graphical Gaussian models (GGM) and directed Bayesian network analysis (NA) to investigate how positive EG (PEG) and negative EG (NEG), in conjunction with emotion regulation, uniquely influences social anxiety and interpersonal relationships.</p>\u0000 <p><b>Methods:</b> The sample comprised 407 junior high school students from China, aged 13–14 years old. We utilized the Photo Emotion Differentiation Task (PED task), Emotion Regulation Scale (ERS), Interpersonal Relationship Comprehensive Diagnostic Scale (IRCDS), and Adolescent Social Anxiety Scale (SAS-A) to measure emotional differentiation, emotion regulation, interpersonal relationships, and social anxiety, respectively.</p>\u0000 <p><b>Results:</b> The undirected network highlights a pronounced relationship between interpersonal relationships and social anxiety. “Socialization and Friendship Distress” shows the highest expected influence, followed by “Social Avoidance and Distress in General Situations”, and “Conversational Distress”. Bayesian NA indicates that both PEG and NEG, along with cognitive reappraisal (CR), influence social anxiety and interpersonal relationships. PEG directly affects social anxiety features, whereas NEG is influenced by them. Additionally, females experience more severe issues with interpersonal relationships and social anxiety than males.</p>\u0000 <p><b>Conclusion:</b> The study revealed that individuals with lower positive EG directly impact social anxiety and interpersonal issues, and indirectly affect CR. Conversely, negative EG is mainly influenced by social anxiety symptoms and directly affects CR strategies. These findings highlight the importance of EG in adolescent mental health, suggesting that enhancing emotional differentiation could effectively address social anxiety and foster healthier interpersonal relationships.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/8658973","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Association Between Cognitive Functioning and Depression Severity: A Multiwave Longitudinal Remote Assessment Study","authors":"Marcos Ross-Adelman,&nbsp;George Aalbers,&nbsp;Faith Matcham,&nbsp;Sara Simblett,&nbsp;Daniel Leightley,&nbsp;Sara Siddi,&nbsp;Josep M. Haro,&nbsp;Carolin Oetzmann,&nbsp;Vaibhav A. Narayan,&nbsp;Matthew Hotopf,&nbsp;Inez Myin-Germeys,&nbsp;Peter de Jonge,&nbsp;Femke Lamers,&nbsp;Brenda W. J. H. Penninx","doi":"10.1155/da/1509978","DOIUrl":"https://doi.org/10.1155/da/1509978","url":null,"abstract":"<div>\u0000 <p>Cognitive difficulties are prevalent in depression and are linked to various negative life outcomes such as psychosocial impairment, absenteeism, lower chance of recovery or remission, and overall poor quality of life. Thus, assessing cognitive functioning over time is key to expanding our understanding of depression. Recent methodological advances and the ubiquity of smartphones enable remote assessment of cognitive functioning through smartphone-based tasks and surveys. However, the association of smartphone-based assessments of cognitive functioning to depression severity remains underexplored. Using a dedicated mobile application for assessing cognitive functioning (THINC-it), we investigate within- and between-person associations between performance-based (attention, working memory, processing speed, attention switching) and self-report measures of cognitive functioning with depression severity in 475 participants from the RADAR-MDD (Remote Assessment of Disease and Relapse-Major Depressive Disorder) cohort study (<i>t</i> = 2036 observations over an average of 14 months of follow-up). At the between-person level, we found stronger negative associations between the self-reported cognitive functioning measure and depression severity (<i>β</i> = −0.649, <i>p</i>  &lt; 0.001) than between the performance-based measures and depression severity (<i>β</i>s = −0.220 to −0.349, <i>p</i>_s  &lt; 0.001). At the within-person level, we found negative associations between depression severity and the self-reported measure (<i>β</i> = −0.223, <i>p</i>  &lt; 0.001), processing speed (<i>β</i> = −0.026, <i>p</i> = 0.032) and attention (<i>β</i> = −0.037, <i>p</i> = 0.003). These findings suggest that although THINC-it could adequately and remotely detect poorer cognitive performance in people with higher depressive symptoms, it was not capable of tracking within-person change over time. Nonetheless, repeatedly measuring self-reports of cognitive functioning showed more potential in tracking within-person changes in depression severity, underscoring their relevance for patient monitoring.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1509978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “The Role of Parenting Behaviors in the Bidirectional and Intergenerational Transmission of Depression and Anxiety Between Parents and Early Adolescent Youth”","authors":"Carly J. Johnco,&nbsp;Natasha R. Magson,&nbsp;Jasmine Fardouly,&nbsp;Ella L. Oar,&nbsp;Miriam K. Forbes,&nbsp;Cele Richardson,&nbsp;Ronald M. Rapee","doi":"10.1155/da/9827354","DOIUrl":"https://doi.org/10.1155/da/9827354","url":null,"abstract":"<p>In the article titled “The Role of Parenting Behaviors in the Bidirectional and Intergenerational Transmission of Depression and Anxiety Between Parents and Early Adolescent Youth” [<span>1</span>], there were errors in Figure 7a,b. The figure should show the incorrect panel in Figure 7.</p><p>The error was introduced during the production process of the article, and Wiley apologizes for causing this error in the article.</p><p>Figure 7a,b should be corrected as follows and is listed as Figure 1.</p>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/9827354","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Education Attainment With Postpartum Depression and the Mediating Exploration: A Mendelian Randomization Study","authors":"Xuanping Wang,&nbsp;Fang-Yue Zhou,&nbsp;Yanhui Hao,&nbsp;Jiaying Wu,&nbsp;Kaizhen Su,&nbsp;Si-Yue Chen,&nbsp;Wen Yu,&nbsp;Chen Zhang,&nbsp;Yan-Ting Wu,&nbsp;He-Feng Huang","doi":"10.1155/da/8835118","DOIUrl":"https://doi.org/10.1155/da/8835118","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Many studies have explored the relationship between education and postpartum depression (PPD), with inconsistent results. Our study is to identify which education-related factors (education attainment, qualifications, cognitive performance) played the predominant role in PPD using Mendelian randomization (MR) analysis. Then, we explored the factors that may mediate the effect of education on PPD.</p>\u0000 <p><b>Method:</b> We performed two-sample multivariable Mendelian randomization (MVMR) to assess the independent impact of education-related factors on PPD. Based on the literature review, three mediating factors that may play a role in the path of education attainment and PPD were involved in mediation analysis, including childbearing age, neuroticism score, and average total household income before tax. Then, we used two-step MR and MVMR to estimate the indirect effect of these mediators.</p>\u0000 <p><b>Results:</b> We identified genetically predicted 1-SD (3.71 years) higher education attainment (OR: 0.632; [95% confidential interval (CI): 0.464–0.860]); qualifications (OR: 0.418; [95% CI: 0.245–0.714]); or cognitive performance (OR: 0.770; [95% CI: 0.652–0.909]) was associated with lower risk of PPD, and the causal effects of education attainment (OR: 0.407; [95% CI: 0.214–0.773]) on PPD were independent of qualifications and cognition. Childbearing age (<i>β</i>: −0.497; [95% CI: −0.788−0.238]; <i>p</i>  &lt; 0.001) and neuroticism score (<i>β</i>: −0.07; [95% CI: −0.120−0.030]; <i>p</i>  &lt; 0.001) were identified as mediators of the association between education attainment and PPD.</p>\u0000 <p><b>Conclusions:</b> These results suggested the predominant impact of education attainment on PPD independent of qualifications and cognition. Education level mainly affects PPD by changing the childbearing age.</p>\u0000 <p><b>Trial Registration:</b> Chinese Clinical Trial Registry identifier: ChiCTR2000033433</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/8835118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Conversion From Unipolar Depression to Bipolar Disorder and Schizophrenia: A 10-Year Retrospective Cohort Study on 12,182 Inpatients","authors":"Ting Zhu,&nbsp;Ran Kou,&nbsp;Di Mu,&nbsp;Yao Hu,&nbsp;Cui Yuan,&nbsp;Minlan Yuan,&nbsp;Li Luo,&nbsp;Wei Zhang","doi":"10.1155/da/4048082","DOIUrl":"https://doi.org/10.1155/da/4048082","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> The initial stages of bipolar disorder (BD) and schizophrenia (SCZ) often exhibit depressive symptoms and syndromes, leading to potential misdiagnosis and treatment for unipolar depression (UD). However, no consensus exists on individualized and time-varying intervenable conversion predictors for both BD and SCZ.</p>\u0000 <p><b>Methods:</b> This study examined the rate of true conversion from UD to BD and SCZ, considering factors such as sex, family history of mental illness, psychotic features, recurrent depression, and treatment patterns. The objective was to develop predictive models for short-, medium-, and long-term risk stratification for BD/SCZ conversion. Data were extracted from electronic medical records (EMRs) between January 2009 and December 2020 in a large academic medical center-based health system in China. Participants included 12,182 depressive inpatients without previous or comorbid diagnoses of BD and SCZ. The outcome measure was a subsequent admission record with a diagnostic code reflective of BD or SCZ. Four machine-learning algorithms using sociodemographic, clinical, laboratory, vital signs, symptoms, and treatment features were applied to predict this outcome. Explainable methodologies, specifically SHapley Additive exPlanations (SHAP) and Break Down, were employed to analyze the contribution of each individual feature.</p>\u0000 <p><b>Results:</b> Among 12,182 individuals, 344 (2.82%) and 64 (0.53%) received a subsequent diagnosis of BD and SCZ, respectively. Higher risk factors for BD progression included being female, having severe depression, being prescribed mood stabilizers, <i>β</i> receptor blockers (e.g., metoprolol tartrate and propranolol hydrochloride), and antipsychotics (e.g., sulpiride and quetiapine). Higher risk factors for SCZ progression included being male, exhibiting psychotic symptoms, being prescribed antipsychotics (e.g., risperidone and sulpiride), antiside effects drugs (e.g., trihexyphenidyl and hemp seed pill), and undergoing psychotherapy. Individuals with a family history of mental illness were particularly susceptible to conversion to BD and SCZ.</p>\u0000 <p><b>Conclusions:</b> The model’s performance on the test dataset declined over time, with area under the curve (AUC) values for predicting BD conversion decreasing from 0.771 in 1 year to 0.749 in 2 years and 0.733 in 7 years, and for SCZ conversion, from 0.866 in 1 year to 0.829 in 3 years and 0.752 in 7 years. A key finding is that individuals with refractory (particularly psychotic) UD had an elevated risk of transitioning to BD and SCZ, with social-demographic factors, lifestyle behaviors, vital signs, and blood markers becoming significant risk factors over follow-up. Upon further validation, these models could provide clinicians with dynamic information regarding a patient’s risk of disease conversion.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/4048082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurophysiological Signatures of Major Depressive Disorder and Frontocentral Gamma Auditory Response Deficits","authors":"Xiaoya Liu,&nbsp;Shuang Liu,&nbsp;Fangyue Su,&nbsp;Wenquan Zhang,&nbsp;Yufeng Ke,&nbsp;Dong Ming","doi":"10.1155/da/7390951","DOIUrl":"https://doi.org/10.1155/da/7390951","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Aberrant gamma oscillations in major depressive disorder (MDD) have attracted extensive attention, but evidence delineating such neural signatures is lacking. The auditory steady-state response (ASSR) elicited by periodic auditory stimuli is a robust probe of gamma oscillations. Here, we sought to characterize early transient auditory evoked responses (AEPs) and sustained gamma ASSRs in MDD, thereby identifying reliable neurophysiological signatures and providing preliminary interpretations of gamma auditory response deficits in MDD.</p>\u0000 <p><b>Methods:</b> Electroencephalographic data were obtained from 40 first-episode drug-naïve patients with MDD and 41 demographically matched healthy controls (HCs) during a 40-Hz ASSR paradigm, encompassing two periodic stimuli—chirp and click stimuli. Source analysis of transient AEPs was performed to identify generators involved in early information processing dysfunction. In addition, spectrotemporal and spatial characteristics of 40-Hz ASSRs were analyzed using event-related spectral perturbation, inter-trial phase coherence, and functional connectivity index.</p>\u0000 <p><b>Results:</b> Compared to HCs, patients showed a reduced P200 amplitude that was source-localized to the middle temporal gyrus, possibly reflecting an underlying impairment in the processes of early allocation or auditory information perception within the auditory pathways. Meanwhile, attenuated 40-Hz power and phase coherence, in conjunction with suppressed right frontotemporal and frontocentral connectivity, were observed in MDD, highlighting the multidimensional entrained gamma inhibition. Correlation analyses revealed that the decreased right frontocentral connectivity was strongly related to increased anxiety severity. Importantly, these abnormalities correlated with the patient’s symptoms were only found with the chirp stimulus, suggesting that the chirp stimulus has tremendous potential to reveal specific neurophysiological signatures of MDD.</p>\u0000 <p><b>Conclusions:</b> Our data reveal impaired gamma auditory responses in first-episode drug-naïve patients with MDD and suggest that right frontocentral connectivity elicited by the chirp stimulus may represent a promising signature for predicting clinical symptoms.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/7390951","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributed White Matter Abnormalities in Major Depressive Disorder: A Diffusion Tensor Imaging Combined Support Vector Machine Study","authors":"Sen Li,&nbsp;Yinghong Xu,&nbsp;Jian Cui,&nbsp;Kun Li,&nbsp;Shanling Ji,&nbsp;Hailong Shen,&nbsp;Yu Wan,&nbsp;Chunyu Dong,&nbsp;Hao Zheng,&nbsp;Wanru Qiu,&nbsp;Liangliang Ping,&nbsp;Hao Yu,&nbsp;Cong Zhou","doi":"10.1155/da/3246717","DOIUrl":"https://doi.org/10.1155/da/3246717","url":null,"abstract":"<div>\u0000 <p><b>Objectives:</b> Existing research by machine learning analysis based on neuroimaging in major depressive disorder (MDD) is limited. This study intends to investigate the integrity of white matter in patients with MDD using diffusion tensor imaging (DTI) combining machine learning approaches and to develop a model to differentiate MDD patients from healthy controls (HCs).</p>\u0000 <p><b>Materials and Methods:</b> Clinical and neuroimaging data were collected from 60 MDD patients and 52 HCs. The tract-based spatial statistics (TBSS) and automated fiber quantification (AFQ) techniques were employed to analyze DTI data. Differences in diffusion metrics were then used in a support vector machine (SVM) model to determine the most significant features for distinguishing MDD patients from HC.</p>\u0000 <p><b>Results:</b> No significant differences were observed in the TBSS between two groups. The AFQ analysis revealed that MDD patients exhibited reduced axial diffusivity (AD) and fractional anisotropy (FA) in specific segments of nerve fibers. The combined FA + AD model demonstrated better predictive performance with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.833 and a predictive accuracy of up to 85.00%, surpassing models utilizing single FA or AD metrics.</p>\u0000 <p><b>Conclusion:</b> DTI combined with machine learning distinguished MDD patients through specific white matter alterations, underscoring the role of microstructural connectivity in depression pathology.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3246717","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determining PTSD, Anxiety, and Depression Levels in Individuals Migrating From Ukraine to Türkiye due to the War","authors":"Songül Duran","doi":"10.1155/da/3869391","DOIUrl":"https://doi.org/10.1155/da/3869391","url":null,"abstract":"<div>\u0000 <p>The aim of this study is to determine the levels of post-traumatic stress disorder (PTSD), anxiety, and depression in individuals who migrated to Türkiye from Ukraine due to the ongoing conflict in their home country. In the study, 194 individuals were reached by using the Socio-Demographic Information Form, the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Impact of Event Scale-Revised (IES-R). It was determined that 38.1% of the participants were in the risk group for GAD, 21.6% were at risk for severe depression, and 7.2% were at risk for very severe depression. Being young and having a low level of education increases the risk of depression and PTSD. Overall, the participants were found to be at risk for PTSD.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3869391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143389097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drift-Diffusion Modeling of Attentional Shifting During Frustration: Associations With State Frustration and Trait Irritability","authors":"Nellia Bellaert,&nbsp;Peter J. Castagna,&nbsp;Christen M. Deveney,&nbsp;Michael J. Crowley,&nbsp;Wan-Ling Tseng","doi":"10.1155/da/1618163","DOIUrl":"https://doi.org/10.1155/da/1618163","url":null,"abstract":"<div>\u0000 <p>Irritability, a prevalent and impairing symptom in many mood and anxiety disorders, is characterized by aberrant responses to frustrative nonreward. Past research investigating irritability have used a cued-attention task with rigged feedback, the affective Posner task (AP), to induce frustrative nonreward. Previous studies have not been successful in linking differences in self-reported irritability to traditional AP metrics (i.e., reaction time and accuracy). Computational modeling, via the estimation of parameters reflecting latent cognitive processes, may provide insight into the cognitive mechanisms of irritability and reveal potential targets for mechanism-based interventions. This study applied the drift-diffusion model (DDM) to the AP to determine if DDM parameters are associated with individual differences in irritability. Young adults (<i>N</i> = 152, <i>M</i>_age = 20.93 ± 1.98) completed the AP and self-reported state frustration and trait irritability. Multiple linear regressions were used to evaluate whether DDM parameters better predict state frustration and trait irritability over traditional AP metrics. Higher state frustration was predicted by lower decision threshold during the frustration block and larger decrease in this parameter between nonfrustration and frustration blocks, over traditional AP metrics. These findings demonstrate the potential of applying the DDM to study frustrative nonreward in healthy adult populations. The utility of DDM awaits validation in populations with clinical levels of irritability.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1618163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intra- and Extracellular White Matter Micromorphology Predict the Antidepressant Effects of Transcranial Magnetic Stimulation in Patients With Major Depressive Disorder","authors":"Sirui Wang,&nbsp;Xiaochen Zhang,&nbsp;Gai Kong,&nbsp;Yuhao Lin,&nbsp;Tianyuan Zhu,&nbsp;Zhenying Qian,&nbsp;Lihua Xu,&nbsp;Huiru Cui,&nbsp;Jijun Wang,&nbsp;Hui Li,&nbsp;Yingying Tang","doi":"10.1155/da/1749444","DOIUrl":"https://doi.org/10.1155/da/1749444","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Transcranial magnetic stimulation (TMS) is a widely used treatment for major depressive disorders (MDD). However, its physiological effects remain unclear, and its efficacy varies among patients. Functional connectivity (FC) within MDD-related networks has shown potential for predicting TMS efficacy. White matter (WM) micromorphology contributes to these connections and may provide new insights into the prediction of TMS effects and its antidepressant mechanism in MDD, which has not been thoroughly investigated. Therefore, this study aimed to identify potential predictors of TMS efficacy using whole-brain WM microstructural characteristics.</p>\u0000 <p><b>Methods:</b> This retrospective study included 41 patients with MDD who completed 20-session TMS treatments. We examined intra- and extracellular WM using neurite orientation dispersion and density imaging (NODDI). We examined the correlations between pre-TMS whole-brain WM measures and the reduction in Montgomery–Åsberg Depression Rating Scale (MADRS) scores after TMS, as well as the longitudinal changes in regional WM measures correlated with MADRS reduction.</p>\u0000 <p><b>Results:</b> The pre-TMS intracellular neurite density index (NDI) within the bilateral internal capsule (IC), right posterior corona radiata (PCR), right superior corona radiata (SCR), corpus callosum (CC), and bilateral posterior thalamic radiation (PTR) were positively associated with the reduction in MADRS scores. The pre-TMS extracellular free-water fraction (FWF) within the bilateral IC, splenium of the CC, and right SCR was significantly related to the reduction in MADRS scores. The FWF within the left posterior limb of the IC, left PCR, and left SCR decreased after TMS treatment.</p>\u0000 <p><b>Limitations:</b> The study’s findings cannot rule out the potential effects of concurrent pharmaceutical therapies, as a control group not receiving TMS treatment was not included.</p>\u0000 <p><b>Conclusions:</b> Regional NDI and FWF values at baseline could predict TMS efficacy in patients with MDD. Reducing the extracellular FWF in the left hemisphere may be a potential therapeutic mechanism of TMS in MDD.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1749444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}