Pub Date : 2024-11-11DOI: 10.1016/S0006-3223(24)01675-5
{"title":"Guide for Authors","authors":"","doi":"10.1016/S0006-3223(24)01675-5","DOIUrl":"10.1016/S0006-3223(24)01675-5","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1016/j.biopsych.2024.09.012
Gregory A. Fonzo , Charles B. Nemeroff
{"title":"The Long Shadow of Early-Life Adversity: Adult Reward Circuit Signatures of Maternal Attention in Infancy","authors":"Gregory A. Fonzo , Charles B. Nemeroff","doi":"10.1016/j.biopsych.2024.09.012","DOIUrl":"10.1016/j.biopsych.2024.09.012","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1016/j.biopsych.2024.09.011
Kathryn Manning, Catherine Lebel
{"title":"The Importance of Neuroimaging Studies in Early Childhood: Prefrontal Cortex Supports Emotional Development in Infants","authors":"Kathryn Manning, Catherine Lebel","doi":"10.1016/j.biopsych.2024.09.011","DOIUrl":"10.1016/j.biopsych.2024.09.011","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1016/j.biopsych.2024.09.020
Olusola A. Ajilore
{"title":"When ChatGPT Met RDoC: Leveraging Artificial Intelligence to Bridge the Gap Between Data and Prognosis","authors":"Olusola A. Ajilore","doi":"10.1016/j.biopsych.2024.09.020","DOIUrl":"10.1016/j.biopsych.2024.09.020","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1016/j.biopsych.2024.09.007
Artemis Zavaliangos-Petropulu
{"title":"Electroconvulsive Therapy and Brain Network Reorganization: Dynamic Connectivity Insights and Implications for the Treatment of Depression and Suicidal Ideation","authors":"Artemis Zavaliangos-Petropulu","doi":"10.1016/j.biopsych.2024.09.007","DOIUrl":"10.1016/j.biopsych.2024.09.007","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/j.biopsych.2024.11.003
Austin C Korgan, Kathryn Prendergast, Anna M Rosenhauer, Kathleen E Morrison, Tanja Jovanovic, Tracy L Bale
Childhood trauma experience increases risk for neuropsychiatric and neurodevelopmental disorders, including posttraumatic stress disorder (PTSD), autism spectrum disorders (ASDs), and attention deficit/hyperactivity disorder (ADHD). While the biological mechanisms connecting adverse experiences with later disease presentation are not clear, the concept of Gene x Environment x Development (GxExD) interactions has significant implications for improving our understanding of these diseases. We recently utilized this approach in a study where we found that women exposed to interpersonal violence trauma (the E) uniquely during adolescence (the D), but not childhood or adulthood, had novel protein biomarkers (the G) associated with a sensory cell system in the skin, Merkel cells. Merkel cell mechanosensory signaling is important in gentle and social touch, inflammation-induced pain, and the skin's neuroendocrine stress response. Further, keratinocyte-derived Merkel cell final maturation occurs during the identified vulnerable period of adolescence. Interestingly, many of the genes identified in our study belong to a known 17q21 gene cluster, suggesting an identifiable location in the genome permanently altered by adolescent trauma. These results form a potential functional link between mechanosensory Merkel cells and the pathology and sensory symptomatology in PTSD. Future research directions could identify specific mechanisms involved in tactile alterations following trauma in hopes of revealing additional biomarkers and potentially leading to novel tactile-involved therapies (e.g., massage, electroacupuncture, or focused ultrasound).
童年创伤经历会增加罹患神经精神疾病和神经发育疾病的风险，包括创伤后应激障碍（PTSD）、自闭症谱系障碍（ASD）和注意力缺陷/多动症（ADHD）。虽然不良经历与日后疾病表现之间的生物学机制尚不清楚，但基因 x 环境 x 发展（GxExD）相互作用的概念对提高我们对这些疾病的认识具有重要意义。我们最近在一项研究中采用了这种方法，发现在青春期（D）而非童年期或成年期遭受过人际暴力创伤（E）的女性，其新的蛋白质生物标志物（G）与皮肤中的感觉细胞系统--梅克尔细胞有关。梅克尔细胞的机械感觉信号在轻柔和社交性触摸、炎症引起的疼痛以及皮肤的神经内分泌应激反应中非常重要。此外，角质细胞衍生的梅克尔细胞最终成熟发生在已确定的青春期脆弱时期。有趣的是，我们研究中发现的许多基因都属于已知的 17q21 基因簇，这表明青春期创伤会永久性地改变基因组中一个可识别的位置。这些结果形成了机械感觉梅克尔细胞与创伤后应激障碍的病理和感觉症状之间的潜在功能联系。未来的研究方向可以确定创伤后触觉改变所涉及的具体机制，希望能揭示出更多的生物标志物，并有可能开发出新型触觉疗法（如按摩、电针或聚焦超声）。
{"title":"Trauma and sensory systems: Biological mechanisms involving the skin and the 17q21 gene cluster.","authors":"Austin C Korgan, Kathryn Prendergast, Anna M Rosenhauer, Kathleen E Morrison, Tanja Jovanovic, Tracy L Bale","doi":"10.1016/j.biopsych.2024.11.003","DOIUrl":"https://doi.org/10.1016/j.biopsych.2024.11.003","url":null,"abstract":"<p><p>Childhood trauma experience increases risk for neuropsychiatric and neurodevelopmental disorders, including posttraumatic stress disorder (PTSD), autism spectrum disorders (ASDs), and attention deficit/hyperactivity disorder (ADHD). While the biological mechanisms connecting adverse experiences with later disease presentation are not clear, the concept of Gene x Environment x Development (GxExD) interactions has significant implications for improving our understanding of these diseases. We recently utilized this approach in a study where we found that women exposed to interpersonal violence trauma (the E) uniquely during adolescence (the D), but not childhood or adulthood, had novel protein biomarkers (the G) associated with a sensory cell system in the skin, Merkel cells. Merkel cell mechanosensory signaling is important in gentle and social touch, inflammation-induced pain, and the skin's neuroendocrine stress response. Further, keratinocyte-derived Merkel cell final maturation occurs during the identified vulnerable period of adolescence. Interestingly, many of the genes identified in our study belong to a known 17q21 gene cluster, suggesting an identifiable location in the genome permanently altered by adolescent trauma. These results form a potential functional link between mechanosensory Merkel cells and the pathology and sensory symptomatology in PTSD. Future research directions could identify specific mechanisms involved in tactile alterations following trauma in hopes of revealing additional biomarkers and potentially leading to novel tactile-involved therapies (e.g., massage, electroacupuncture, or focused ultrasound).</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-10DOI: 10.1016/j.biopsych.2024.05.008
Thomas H. McCoy Jr. , Roy H. Perlis
Background
To enable greater use of National Institute of Mental Health Research Domain Criteria (RDoC) in real-world settings, we applied large language models (LLMs) to estimate dimensional psychopathology from narrative clinical notes.
Methods
We conducted a cohort study using health records from individuals age ≤18 years evaluated in the psychiatric emergency department of a large academic medical center between November 2008 and March 2015. Outcomes were hospital admission and length of emergency department stay. RDoC domains were estimated using a Health Insurance Portability and Accountability Act–compliant LLM (gpt-4-1106-preview) and compared with a previously validated token-based approach.
Results
The cohort included 3059 individuals (median age 16 years [interquartile range, 13–18]; 1580 [52%] female, 1479 [48%] male; 105 [3.4%] identified as Asian, 329 [11%] as Black, 288 [9.4%] as Hispanic, 474 [15%] as other race, and 1863 [61%] as White), of whom 1695 (55%) were admitted. Correlation between LLM-extracted RDoC scores and the token-based scores ranged from small to medium as assessed by Kendall’s tau (0.14–0.22). In logistic regression models adjusting for sociodemographic and clinical features, admission likelihood was associated with greater scores on all domains, with the exception of the sensorimotor domain, which was inversely associated (p < .001 for all adjusted associations). Tests for bias suggested modest but statistically significant differences in positive valence scores by race (p < .05 for Asian, Black, and Hispanic individuals).
Conclusions
An LLM extracted estimates of 6 RDoC domains in an explainable manner, which were associated with clinical outcomes. This approach can contribute to a new generation of prediction models or biological investigations based on dimensional psychopathology.
{"title":"Dimensional Measures of Psychopathology in Children and Adolescents Using Large Language Models","authors":"Thomas H. McCoy Jr. , Roy H. Perlis","doi":"10.1016/j.biopsych.2024.05.008","DOIUrl":"10.1016/j.biopsych.2024.05.008","url":null,"abstract":"<div><h3>Background</h3><div>To enable greater use of National Institute of Mental Health Research Domain Criteria (RDoC) in real-world settings, we applied large language models (LLMs) to estimate dimensional psychopathology from narrative clinical notes.</div></div><div><h3>Methods</h3><div><span>We conducted a cohort study using health records from individuals age ≤18 years evaluated in the </span>psychiatric emergency<span> department of a large academic medical center between November 2008 and March 2015. Outcomes were hospital admission and length of emergency department stay. RDoC domains were estimated using a Health Insurance Portability and Accountability Act–compliant LLM (gpt-4-1106-preview) and compared with a previously validated token-based approach.</span></div></div><div><h3>Results</h3><div><span>The cohort included 3059 individuals (median age 16 years [interquartile range, 13–18]; 1580 [52%] female, 1479 [48%] male; 105 [3.4%] identified as Asian, 329 [11%] as Black, 288 [9.4%] as Hispanic, 474 [15%] as other race, and 1863 [61%] as White), of whom 1695 (55%) were admitted. Correlation between LLM-extracted RDoC scores and the token-based scores ranged from small to medium as assessed by Kendall’s tau (0.14–0.22). In logistic regression<span> models adjusting for sociodemographic and clinical features, admission likelihood was associated with greater scores on all domains, with the exception of the sensorimotor domain, which was inversely associated (</span></span><em>p</em> < .001 for all adjusted associations). Tests for bias suggested modest but statistically significant differences in positive valence scores by race (<em>p</em> < .05 for Asian, Black, and Hispanic individuals).</div></div><div><h3>Conclusions</h3><div>An LLM extracted estimates of 6 RDoC domains in an explainable manner, which were associated with clinical outcomes. This approach can contribute to a new generation of prediction models or biological investigations based on dimensional psychopathology.</div></div>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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