{"title":"Corrigendum to \"A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly\" [J. Affect. Disord. Volume 369, 15 January 2025, Pages 329-337].","authors":"Yingjie Wang, Xuzhe Wang, Li Zhao, Kyle Jones","doi":"10.1016/j.jad.2025.02.070","DOIUrl":"10.1016/j.jad.2025.02.070","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"916"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to \"Trajectories of Chinese adolescent depression before and after COVID-19: A cross-temporal meta-analysis with segmented regression\" [J. Affect. Disord. 373 (2025) 333-344].","authors":"Xiayu Du, Hanzhang Wu, Sailigu Yalikun, Jiayi Li, Jiaojiao Jia, Tieyu Duan, Zongkui Zhou, Zhihong Ren","doi":"10.1016/j.jad.2025.01.106","DOIUrl":"10.1016/j.jad.2025.01.106","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"914"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zuo Zhang, Lauren Robinson, Robert Whelan, Lee Jollans, Zijian Wang, Frauke Nees, Congying Chu, Marina Bobou, Dongping Du, Ilinca Cristea, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Jeanne Winterer, M John Broulidakis, Betteke Maria van Noort, Argyris Stringaris, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Yuning Zhang, Sinead King, Julia Sinclair, Gunter Schumann, Ulrike Schmidt, Sylvane Desrivières
{"title":"Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.","authors":"Zuo Zhang, Lauren Robinson, Robert Whelan, Lee Jollans, Zijian Wang, Frauke Nees, Congying Chu, Marina Bobou, Dongping Du, Ilinca Cristea, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Jeanne Winterer, M John Broulidakis, Betteke Maria van Noort, Argyris Stringaris, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Yuning Zhang, Sinead King, Julia Sinclair, Gunter Schumann, Ulrike Schmidt, Sylvane Desrivières","doi":"10.1016/j.jad.2024.12.053","DOIUrl":"10.1016/j.jad.2024.12.053","url":null,"abstract":"<p><strong>Background: </strong>Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD).</p><p><strong>Methods: </strong>Case-control samples (aged 18-25 years), including participants with Anorexia Nervosa (AN), Bulimia Nervosa (BN), MDD, AUD, and matched controls, were used for diagnostic classification. For risk prediction, we used a longitudinal population-based sample (IMAGEN study), assessing adolescents at ages 14, 16 and 19. Regularized logistic regression models incorporated broad data domains spanning psychopathology, personality, cognition, substance use, and environment.</p><p><strong>Results: </strong>The classification of EDs was highly accurate, even when excluding body mass index from the analysis. The area under the receiver operating characteristic curves (AUC-ROC [95 % CI]) reached 0.92 [0.86-0.97] for AN and 0.91 [0.85-0.96] for BN. The classification accuracies for MDD (0.91 [0.88-0.94]) and AUD (0.80 [0.74-0.85]) were also high. The models demonstrated high transdiagnostic potential, as those trained for EDs were also accurate in classifying AUD and MDD from healthy controls, and vice versa (AUC-ROCs, 0.75-0.93). Shared predictors, such as neuroticism, hopelessness, and symptoms of attention-deficit/hyperactivity disorder, were identified as reliable classifiers. In the longitudinal population sample, the models exhibited moderate performance in predicting the development of future ED symptoms (0.71 [0.67-0.75]), depressive symptoms (0.64 [0.60-0.68]), and harmful drinking (0.67 [0.64-0.70]).</p><p><strong>Conclusions: </strong>Our findings demonstrate the potential of combining multi-domain data for precise diagnostic and risk prediction applications in psychiatry.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"889-899"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7617286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864262","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":"Corrigendum to \"Neural evidence of implicit emotion regulation deficits: An explorative study of comparing PTSD with and without alcohol dependence\" [J. Affect. Disord. 372 (2025) 548-563].","authors":"Junrong Zhao, Yunxiao Guo, Yafei Tan, Yuyi Zhang, Sijun Liu, Yinong Liu, Jiayi Li, Jun Ruan, Lianzhong Liu, Zhihong Ren","doi":"10.1016/j.jad.2025.01.105","DOIUrl":"10.1016/j.jad.2025.01.105","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"913"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143037719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changyu Ju, Chunrong Huang, Xiaodong Liu, Juming Liu
{"title":"Interactive effect of sleep duration, lifestyle factors and comorbidity on depressive symptoms: Insights from the China health and retirement longitudinal study.","authors":"Changyu Ju, Chunrong Huang, Xiaodong Liu, Juming Liu","doi":"10.1016/j.jad.2025.01.024","DOIUrl":"10.1016/j.jad.2025.01.024","url":null,"abstract":"<p><strong>Background: </strong>As population aging intensifies, depression emerges as a major global public health issue, especially affecting middle-aged and elderly individuals. While studies have investigated factors like sleep duration, physical activity, smoking, drinking habits, and comorbidity, the complex interplay and cumulative effect of these factors on the risk of depressive symptoms remain not fully understood.</p><p><strong>Methods: </strong>This research utilizes data from the China Health and Retirement Longitudinal Study (CHARLS), encompassing observations from 2015 to 2020. The subjects included 8234 middle-aged and elderly individuals, accounting for a total of 22,570 observations. Lifestyle factors were represented by physical activity, smoking, and drinking habits, with the volume of moderate-to-vigorous physical activity (MVPA) quantified by quoting metabolic equivalents (MET). Multivariate logistic regression models were conducted for baseline analysis, and mixed-effects logistic regression models with random participant intercepts were constructed for the longitudinal analysis of the cohort. Moreover, interaction terms between these factors were included to assess their combined impact on the risk of depressive symptoms.</p><p><strong>Results: </strong>Longitudinal analysis revealed a notable correlation between short sleep duration (<7 h) and an elevated risk of depressive symptoms, evidenced by an adjusted odds ratio (OR) of 3.13 (95 % CI: 2.73-3.74). Conversely, long sleep duration (>9 h) was not associated with a marked change in risk of depressive symptoms (OR = 1.11, 95 % CI: 0.78-1.59, p = 0.59). High levels of physical activity (192-336 MET-h/week) were significantly linked to an elevated risk of depressive symptoms (OR = 1.70, 95 % CI: 1.19-2.42). Discontinuing smoking was significantly correlated with a lower risk of depressive symptoms (OR = 0.68, 95 % CI: 0.52-0.90). Subjects with two or more concurrent conditions exhibited a substantially higher risk of depressive symptoms (OR = 3.19, 95 % CI: 3.13-3.25). Investigating the combined influence of sleep duration, lifestyle elements, and concurrent conditions revealed that enhanced physical activity levels significantly decreased risk of depressive symptoms in participants with short sleep duration, adjusting the OR from 3.16 to 0.83 (95 % CI, 0.53-1.30). Among participants with short sleep duration, smoking and alcohol consumption patterns were linked to a decreased risk of depressive symptoms, although these associations lacked statistical significance. Relative to subjects without concurrent conditions, those harboring two or more such conditions faced a significantly heightened risk of depressive symptoms in the context of short sleep duration (OR = 3.00, 95 % CI: 2.24-4.03), a risk not observed in subjects with extended sleep duration. Moderate napping (0.5-1 h) among participants with short sleep duration was found to significantly mitigate risk of depressi","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"900-912"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142964952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chien-Lin Wu , Tsung-Hua Lu , Wei Hung Chang , Tzu-Yun Wang , Huai-Hsuan Tseng , Yen Kuang Yang , Po See Chen
{"title":"Corrigendum to “Role of the insula in rTMS response for depression” [J. Affect. Disord. 370 (2025) 538–546]","authors":"Chien-Lin Wu , Tsung-Hua Lu , Wei Hung Chang , Tzu-Yun Wang , Huai-Hsuan Tseng , Yen Kuang Yang , Po See Chen","doi":"10.1016/j.jad.2025.119552","DOIUrl":"10.1016/j.jad.2025.119552","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119552"},"PeriodicalIF":4.9,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hartej Gill , Roger S. McIntyre , Michael Cronquist Christensen
{"title":"Analysis of reward behavior in patients with MDD and partial response to SSRI therapy treated with vortioxetine versus desvenlafaxine: Experience with the effort expenditure for rewards task (EEfRT) in the VIVRE study","authors":"Hartej Gill , Roger S. McIntyre , Michael Cronquist Christensen","doi":"10.1016/j.jad.2025.119563","DOIUrl":"10.1016/j.jad.2025.119563","url":null,"abstract":"<div><h3>Background</h3><div>Anhedonia is a hallmark symptom of major depressive disorder (MDD), associated with impairments in various aspects of reward. VIVRE is the first study in patients with MDD receiving antidepressant therapy to include longitudinal assessment of reward behavior using the Effort-Expenditure for Rewards Task (EEfRT), a validated behavioral paradigm for the objective assessment of reward and effort-based decision-making in patients with MDD.</div></div><div><h3>Methods</h3><div>Randomized, double-blind study of vortioxetine (10 or 20 mg/day) versus desvenlafaxine (50 mg/day) in adults with MDD and partial response to selective serotonin reuptake inhibitor monotherapy. Motivation for reward based on the proportion of hard trial choices was assessed at baseline and after 8 weeks of treatment.</div></div><div><h3>Results</h3><div>There was no difference in the proportion of hard trial choices between the vortioxetine (<em>n</em> = 288) and desvenlafaxine (<em>n</em> = 300) treatment groups at baseline. Minimal change in parameters of reward motivation was seen over the 8-week treatment period in either group. The between-group difference in the proportion of hard trial choices at week 8 was not statistically significant (odds ratio: 0.97 [95 % CI: 0.82, 1.14]; <em>P</em> = 0.72). Similar results were obtained when controlling for reward probability, reward magnitude, trial number, and sex, or when limiting to the first 50 trials (excluding computer-selected trials).</div></div><div><h3>Limitations</h3><div>Exploratory analyses evaluating the utility of the EEfRT in clinical populations.</div></div><div><h3>Conclusions</h3><div>Experience from the VIVRE study suggests that further research is required to fully determine the clinical utility of the EEfRT for assessment of antidepressant treatment effects in patients with MDD.</div></div><div><h3>Trial registration</h3><div>NCT04448431.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119563"},"PeriodicalIF":4.9,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risto Halonen , Tommi Makkonen , Liisa Kuula , Anu-Katriina Pesonen
{"title":"Anxiety moderates the effect of sleep on selective forgetting","authors":"Risto Halonen , Tommi Makkonen , Liisa Kuula , Anu-Katriina Pesonen","doi":"10.1016/j.jad.2025.119562","DOIUrl":"10.1016/j.jad.2025.119562","url":null,"abstract":"<div><div>While anxiety predisposes to distressing memories, the role of sleep in maintaining or attenuating unwanted memories has been understudied. This study aims to fill this knowledge gap by examining sleep-driven selective memory consolidation using a directed forgetting (DF) paradigm. DF refers to the intentional suppression of certain memories during encoding, and it is usually observed in both anxious and non-anxious individuals during wakefulness. While sleep potentially enhances DF, it is unclear how anxiety interacts with sleep.</div><div>The sample (<em>N</em> = 58) was divided into low- and high-anxiety subgroups based on self-reported symptoms (GAD-7). The participants encoded to memory 120 face images (neutral/fearful). According to item-method DF, each image was instantly followed by Remember (R) or Forget (F) cue. Memory retrievals took place immediately, after a daytime nap in the sleep laboratory, and after two days. DF effect denoted the difference between R-cued and F-cued image recognition success.</div><div>Overall, relative to F-cued, R-cued images were better recognized. This DF effect was moderated by anxiety and sleep: in low-anxiety individuals only, the magnitude of the DF effect increased significantly over the nap. This increase was associated with sleep spindle density. Event-related potential amplitudes at encoding associated with the DF effect at the immediate retrieval, but not at the later assessments.</div><div>Sleep-related memory processing may be altered in individuals with elevated anxiety, making it harder to differentiate important from irrelevant information. This mechanism may contribute to the persistence of unwanted memories in anxiety. Understanding how sleep interacts with anxiety can open novel intervention possibilities.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119562"},"PeriodicalIF":4.9,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Systematic Mendelian randomization of the human plasma proteome to identify therapeutic targets linking aging and frailty to perioperative delirium.","authors":"Jian Tang, Zhengyu Qian, Zhengyin Zhu, Hongjin Qin, Guangyu Cai, Yaqi Wang, Zhu Wei, Xue Rao, Liu Yang, Xiaohua Zou, Yimin Ren","doi":"10.1016/j.jad.2025.119471","DOIUrl":"https://doi.org/10.1016/j.jad.2025.119471","url":null,"abstract":"<p><strong>Background: </strong>Perioperative delirium is a growing concern in the aging population, posing significant risks to frail elderly patients. While frailty is associated with delirium, the underlying mechanisms remain unclear.</p><p><strong>Methods: </strong>We conducted an analysis of data derived from 3788 plasma proteins in a protein quantitative trait locus (pQTL) study encompassing 4709 participants. Utilizing Mendelian randomization (MR) in conjunction with genome-wide association study (GWAS) data, we identified proteins that exhibit significant associations with delirium. Additionally, we investigated the bidirectional relationship between delirium and aging-related indicators, such as the frailty index (FI), Intrinsic Epigenetic Age Acceleration (IEAA), PhenoAge, and life expectancy. This was achieved through mediation analysis and Bayesian colocalization to assess the intermediary effects of these indicators. Finally, we assessed the therapeutic potential of the identified proteins via molecular docking studies.</p><p><strong>Results: </strong>MR analysis revealed causal relationships between delirium and several aging-related indicators, including FI, IEAA, PhenoAge, and life expectancy. Eleven proteins were causally associated with delirium. Mediation analysis showed that the effects of HIBCH and IMPAD1 on delirium were mediated by PhenoAge, while IEAA mediated the effect of MICB. MST1's effect on delirium was mediated by FI and life expectancy. Bayesian colocalization confirmed strong associations between HIBCH, MST1, and delirium. Molecular docking studies indicated that MST1 and HIBCH exhibited low binding energies with midazolam and dexmedetomidine, suggesting their potential as therapeutic targets.</p><p><strong>Conclusion: </strong>HIBCH and MST1 are key players in delirium pathophysiology and represent promising therapeutic candidates. Their involvement in delirium warrants further investigation in clinical research.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119471"},"PeriodicalIF":4.9,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}