Npj mental health research最新文献_第2页

Impaired mnemonic pattern separation associated with PTSD symptoms paradoxically improves with regular cannabis use. 与创伤后应激障碍症状相关的记忆模式分离受损随着经常使用大麻而矛盾地改善。

Npj mental health research Pub Date : 2025-04-24 DOI: 10.1038/s44184-025-00126-w

Jacob Ross, Bruna Cuccurazzu, Dylan Delmar, Christian Cortez, Giovanni Castillo, Dean T Acheson, Dewleen G Baker, Victoria B Risbrough, Daniel M Stout

{"title":"Impaired mnemonic pattern separation associated with PTSD symptoms paradoxically improves with regular cannabis use.","authors":"Jacob Ross, Bruna Cuccurazzu, Dylan Delmar, Christian Cortez, Giovanni Castillo, Dean T Acheson, Dewleen G Baker, Victoria B Risbrough, Daniel M Stout","doi":"10.1038/s44184-025-00126-w","DOIUrl":"https://doi.org/10.1038/s44184-025-00126-w","url":null,"abstract":"Posttraumatic stress disorder (PTSD) is associated with poor hippocampal function and disrupted pattern recognition. Cannabis use is highly prevalent in individuals with PTSD, yet the impact on these cognitive functions is poorly understood. Participants (n = 111) with a range of PTSD symptoms with and without regular cannabis use completed the mnemonic similarity task. We hypothesized that regular use would be associated with alterations in pattern separation ability in individuals with PTSD symptoms. High PTSD symptoms were associated with reduced pattern separation performance in minimal users. Regular users with high PTSD symptoms showed greater pattern separation, but reduced pattern separation with low PTSD symptoms. These results suggest that regular cannabis use may disrupt pattern separation and similar hippocampal-dependent processes, while it may improve pattern separation in individuals with high PTSD symptoms. These cross-sectional results require longitudinal follow-up studies to evaluate the causal effects of regular cannabis use on cognitive function in PTSD.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12022266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing seasonal and weather effects on depression and physical activity using mobile health data. 利用流动健康数据评估季节和天气对抑郁症和身体活动的影响。

Npj mental health research Pub Date : 2025-04-18 DOI: 10.1038/s44184-025-00125-x

Yuezhou Zhang, Amos A Folarin, Yatharth Ranjan, Nicholas Cummins, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Shaoxiong Sun, Srinivasan Vairavan, Faith Matcham, Carolin Oetzmann, Sara Siddi, Femke Lamers, Sara Simblett, Til Wykes, David C Mohr, Josep Maria Haro, Brenda W J H Penninx, Vaibhav A Narayan, Matthew Hotopf, Richard J B Dobson, Abhishek Pratap

{"title":"Assessing seasonal and weather effects on depression and physical activity using mobile health data.","authors":"Yuezhou Zhang, Amos A Folarin, Yatharth Ranjan, Nicholas Cummins, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Shaoxiong Sun, Srinivasan Vairavan, Faith Matcham, Carolin Oetzmann, Sara Siddi, Femke Lamers, Sara Simblett, Til Wykes, David C Mohr, Josep Maria Haro, Brenda W J H Penninx, Vaibhav A Narayan, Matthew Hotopf, Richard J B Dobson, Abhishek Pratap","doi":"10.1038/s44184-025-00125-x","DOIUrl":"https://doi.org/10.1038/s44184-025-00125-x","url":null,"abstract":"Seasonal and weather changes can significantly impact depression severity, yet findings remain inconsistent across populations. This study explored depression variations across the seasons and the interplays between weather changes, physical activity, and depression severity among 428 participants in a real-world longitudinal mobile health study. Clustering analysis identified four participant subgroups with distinct patterns of depression severity variations in 1 year. While one subgroup showed stable depression levels throughout the year, others peaked at various seasons. The subgroup with stable depression had older participants with lower baseline depression severity. Mediation analysis revealed temperature and day length significantly influenced depression severity, which in turn impacted physical activity levels indirectly. Notably, these indirect influences manifested differently or even oppositely across participants with varying responses to weather. These findings support the hypothesis of heterogeneity in individuals' seasonal depression variations and responses to weather, underscoring the necessity for personalized approaches in depression management and treatment.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12008285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probiotics reduce negative mood over time: the value of daily self-reports in detecting effects. 随着时间的推移，益生菌可以减少消极情绪：每日自我报告在检测效果方面的价值。

Npj mental health research Pub Date : 2025-04-09 DOI: 10.1038/s44184-025-00123-z

Katerina V-A Johnson, Laura Steenbergen

{"title":"Probiotics reduce negative mood over time: the value of daily self-reports in detecting effects.","authors":"Katerina V-A Johnson, Laura Steenbergen","doi":"10.1038/s44184-025-00123-z","DOIUrl":"https://doi.org/10.1038/s44184-025-00123-z","url":null,"abstract":"The burgeoning field of the microbiome-gut-brain axis has inspired research into how the gut microbiome can affect human emotion. Probiotics offer ways to investigate microbial-based interventions but results have been mixed, with more evidence of beneficial effects in clinically depressed patients. Using a randomised, double-blind, placebo-controlled design in 88 healthy volunteers, we conduct a comprehensive study into effects of a multispecies probiotic on emotion regulation and mood through questionnaires, emotional processing tests and daily reports. We find clear evidence that probiotics reduce negative mood, starting after two weeks, based on daily monitoring, but few other changes. Our findings reconcile inconsistencies of previous studies, revealing that commonly used pre- versus post-intervention assessments cannot reliably detect probiotic-induced changes in healthy subjects' emotional state. We conclude that probiotics can benefit mental health in the general population and identify traits of individuals who derive greatest benefit, allowing future targeting of at-risk individuals.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11982403/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Publisher Correction: Adapting the Parent Connector program for caregivers of adults with SMI: the Family Connector experience. 出版商更正：适应父母连接器程序照顾成人重度精神障碍：家庭连接器的经验。

Npj mental health research Pub Date : 2025-03-07 DOI: 10.1038/s44184-025-00118-w

Paige E Cervantes, Charlotte Gendler, Lori Markowitz, Meggin Rose, Priscilla Shorter, Sally Mason, Tanya Hernandez, Kimberly E Hoagwood

引用次数: 0

Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health. 使用自然语言处理富集健康的社会和行为决定因素的美国退伍军人出院后自杀预测。

Npj mental health research Pub Date : 2025-02-22 DOI: 10.1038/s44184-025-00120-2

Avijit Mitra, Kun Chen, Weisong Liu, Ronald C Kessler, Hong Yu

{"title":"Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health.","authors":"Avijit Mitra, Kun Chen, Weisong Liu, Ronald C Kessler, Hong Yu","doi":"10.1038/s44184-025-00120-2","DOIUrl":"10.1038/s44184-025-00120-2","url":null,"abstract":"Despite the established association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health record notes for suicide prediction remain underutilized. This study investigates the impact of SBDH identified from both structured and unstructured data utilizing a natural language processing (NLP) system on suicide prediction at 7, 30, 90, and 180 days post-discharge. Using data from 2,987,006 US Veterans between 1 October 2009, and 30 September 2015, we designed a case-control study demonstrating that structured and NLP-extracted SBDH significantly enhance distinct prediction models' performance. For example, the random forest model improved its 180-day post-discharge prediction with an area under the receiver operating characteristic curve increase from 83.57% to 84.25% (95% CI = 0.63%-0.98%, p val < 0.001) and area under the precision-recall curve increase from 57.38% to 59.87% (95% CI = 3.86%-4.82%, p val < 0.001) after integrating NLP-extracted SBDH. These findings underscore the potential of NLP-extracted SBDH in advancing suicide prediction.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early signs of long-term pain: prospective network profiles from late adolescence and lifelong follow-up. 长期疼痛的早期迹象：从青春期晚期开始的预期网络概况和终身随访。

Npj mental health research Pub Date : 2025-02-13 DOI: 10.1038/s44184-025-00122-0

William Hedley Thompson, Emelie Thern, Filip Gedin, Anna Andreasson, Karin B Jensen, Maria Lalouni

引用次数: 0

Decoding substance use disorder severity from clinical notes using a large language model. 使用大型语言模型从临床记录中解码物质使用障碍的严重程度。

Npj mental health research Pub Date : 2025-02-07 DOI: 10.1038/s44184-024-00114-6

Maria Mahbub, Gregory M Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

{"title":"Decoding substance use disorder severity from clinical notes using a large language model.","authors":"Maria Mahbub, Gregory M Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight","doi":"10.1038/s44184-024-00114-6","DOIUrl":"10.1038/s44184-024-00114-6","url":null,"abstract":"Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as severity, co-determinants (e.g., withdrawal symptoms), and social determinants of health. Existing diagnostic coding systems used by insurance providers, like the International Classification of Diseases (ICD-10), lack granularity for certain diagnoses, but American clinicians will add this granularity (as that found within the Diagnostic and Statistical Manual of Mental Disorders classification or DSM-5) as supplemental unstructured text in clinical notes. Traditional natural language processing (NLP) methods face limitations in accurately parsing such diverse clinical language. Large language models (LLMs) offer promise in overcoming these challenges by adapting to diverse language patterns. This study investigates the application of LLMs for extracting severity-related information for various SUD diagnoses from clinical notes. We propose a workflow employing zero-shot learning of LLMs with carefully crafted prompts and post-processing techniques. Through experimentation with Flan-T5, an open-source LLM, we demonstrate its superior recall compared to the rule-based approach. Focusing on 11 categories of SUD diagnoses, we show the effectiveness of LLMs in extracting severity information, contributing to improved risk assessment and treatment planning for SUD patients.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A qualitative analysis of the psychedelic mushroom come-up and come-down. 迷幻蘑菇的出现和消失的定性分析。

Npj mental health research Pub Date : 2025-02-07 DOI: 10.1038/s44184-024-00095-6

Ari Brouwer, Joshua K Brown, Earth Erowid, Fire Erowid, Sylvia Thyssen, Charles L Raison, Robin L Carhart-Harris

{"title":"A qualitative analysis of the psychedelic mushroom come-up and come-down.","authors":"Ari Brouwer, Joshua K Brown, Earth Erowid, Fire Erowid, Sylvia Thyssen, Charles L Raison, Robin L Carhart-Harris","doi":"10.1038/s44184-024-00095-6","DOIUrl":"10.1038/s44184-024-00095-6","url":null,"abstract":"Psychedelic therapy has the potential to become a revolutionary and transdiagnostic mental health treatment, yielding enduring benefits that are often attributed to the experiences that coincide with peak psychedelic effects. However, there may be an underrecognized temporal structure to this process that helps explain why psychedelic and related altered states of consciousness can have an initially distressing but ultimately distress-resolving effect. Here we present a qualitative analysis of the self-reported 'come-up' or onset phase, and 'come-down' or falling phase, of the psychedelic experience. Focusing on psilocybin or psilocybin-containing mushroom experience reports submitted to Erowid.org, we use phenomenological, thematic content and word frequency analysis to show that the come-up is more often characterized by negatively valenced feeling states that resemble an acute stress reaction, while the come-down phase is more often characterized by positively valenced feeling states of the sort often observed following recovery from illness or resolution of stress. The therapeutic and theoretical relevance of these findings are discussed.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802880/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of individual patient outcomes to psychotherapy vs medication for major depression. 预测个体患者对心理治疗与药物治疗的结果。

Npj mental health research Pub Date : 2025-02-05 DOI: 10.1038/s44184-025-00119-9

Devon LoParo, Boadie W Dunlop, Charles B Nemeroff, Helen S Mayberg, W Edward Craighead

{"title":"Prediction of individual patient outcomes to psychotherapy vs medication for major depression.","authors":"Devon LoParo, Boadie W Dunlop, Charles B Nemeroff, Helen S Mayberg, W Edward Craighead","doi":"10.1038/s44184-025-00119-9","DOIUrl":"10.1038/s44184-025-00119-9","url":null,"abstract":"Treatments for major depressive disorder (MDD) include antidepressant medications and evidence-based psychotherapies, which are approximately equally efficacious. Individual response to treatment, however, is variable, implying individual differences that could allow for prospective differential prediction of treatment response and personalized treatment recommendation. We used machine learning to develop predictor variables that combined demographic and clinical items from a randomized clinical trial. The variables predicted a meaningful proportion of variance in end-of-treatment depression severity for cognitive behavioral therapy (39.7%), escitalopram (32.1%), and duloxetine (67.7%), leading to a high accuracy in predicting remission (71%). Further, we used these variables to simulate treatment recommendation and found that patients who received their recommended treatment had significantly improved depression severity and remission likelihood. Finally, the prediction algorithms and treatment recommendation tool were externally validated in an independent sample. These results represent a highly promising, easily implemented, potential advance for personalized medicine in MDD treatment.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11799290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Author Correction: Sex differences in the association between repetitive negative thinking and neurofilament light. 作者更正：重复性消极思维和神经丝光之间的关联的性别差异。

Npj mental health research Pub Date : 2025-01-18 DOI: 10.1038/s44184-025-00116-y

Yolanda Lau, Amit Bansal, Cassandre Palix, Harriet Demnitz-King, Miranka Wirth, Olga Klimecki, Gael Chetelat, Géraldine Poisnel, Natalie L Marchant

引用次数: 0