Neuropsychopharmacology最新文献_第5页

A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response. 弥散核磁共振成像在情绪障碍中的应用综述：治疗反应的机制和预测因素。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 Epub Date: 2024-06-20 DOI: 10.1038/s41386-024-01894-3

Noor B Al-Sharif, Artemis Zavaliangos-Petropulu, Katherine L Narr

{"title":"A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.","authors":"Noor B Al-Sharif, Artemis Zavaliangos-Petropulu, Katherine L Narr","doi":"10.1038/s41386-024-01894-3","DOIUrl":"10.1038/s41386-024-01894-3","url":null,"abstract":"By measuring the molecular diffusion of water molecules in brain tissue, diffusion MRI (dMRI) provides unique insight into the microstructure and structural connections of the brain in living subjects. Since its inception, the application of dMRI in clinical research has expanded our understanding of the possible biological bases of psychiatric disorders and successful responses to different therapeutic interventions. Here, we review the past decade of diffusion imaging-based investigations with a specific focus on studies examining the mechanisms and predictors of therapeutic response in people with mood disorders. We present a brief overview of the general application of dMRI and key methodological developments in the field that afford increasingly detailed information concerning the macro- and micro-structural properties and connectivity patterns of white matter (WM) pathways and their perturbation over time in patients followed prospectively while undergoing treatment. This is followed by a more in-depth summary of particular studies using dMRI approaches to examine mechanisms and predictors of clinical outcomes in patients with unipolar or bipolar depression receiving pharmacological, neurostimulation, or behavioral treatments. Limitations associated with dMRI research in general and with treatment studies in mood disorders specifically are discussed, as are directions for future research. Despite limitations and the associated discrepancies in findings across individual studies, evolving research strongly indicates that the field is on the precipice of identifying and validating dMRI biomarkers that could lead to more successful personalized treatment approaches and could serve as targets for evaluating the neural effects of novel treatments.","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"211-229"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141432395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Teaching a new dog old tricks: bringing rigor, grounding, and specificity to psychedelic neuropsychopharmacology. 教新狗学老把戏：为迷幻药神经精神药理学带来严谨性、基础性和特异性。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 DOI: 10.1038/s41386-024-01954-8

Nathan H Heller, Frederick S Barrett

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Democratizing technologies in psychiatry: non-human primate neuroanatomy paves the way for accessible neurofeedback in the wild. 精神病学技术的民主化：非人灵长类神经解剖学为野外神经反馈技术的普及铺平了道路。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 DOI: 10.1038/s41386-024-01968-2

Lucas R Trambaiolli, Jamie D Feusner

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Opportunities for use of neuroimaging in de-risking drug development and improving clinical outcomes in psychiatry: an industry perspective. 利用神经成像技术降低药物开发风险和改善精神病学临床疗效的机遇：业界视角。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 Epub Date: 2024-08-21 DOI: 10.1038/s41386-024-01970-8

Amit Etkin, Jessica Powell, Adam J Savitz

{"title":"Opportunities for use of neuroimaging in de-risking drug development and improving clinical outcomes in psychiatry: an industry perspective.","authors":"Amit Etkin, Jessica Powell, Adam J Savitz","doi":"10.1038/s41386-024-01970-8","DOIUrl":"10.1038/s41386-024-01970-8","url":null,"abstract":"Neuroimaging, across positron emission tomography (PET), electroencephalography (EEG), and magnetic resonance imaging (MRI), has been a mainstay of clinical neuroscience research for decades, yet has penetrated little into psychiatric drug development beyond often underpowered phase 1 studies, or into clinical care. Simultaneously, there is a pressing need to improve the probability of success in drug development, increase mechanistic diversity, and enhance clinical efficacy. These goals can be achieved by leveraging neuroimaging in a precision psychiatry framework, wherein effects of drugs on the brain are measured early in clinical development to understand dosing and indication, and then in later-stage trials to identify likely drug responders and enrich clinical trials, ultimately improving clinical outcomes. Here we examine the key variables important for success in using neuroimaging for precision psychiatry from the lens of biotechnology and pharmaceutical companies developing and deploying new drugs in psychiatry. We argue that there are clear paths for incorporating different neuroimaging modalities to de-risk subsequent development phases in the near to intermediate term, culminating in use of select neuroimaging modalities in clinical care for prescription of new precision drugs. Better outcomes through neuroimaging biomarkers, however, require a wholesale commitment to a precision psychiatry approach and will necessitate a cultural shift to align biopharma and clinical care in psychiatry to a precision orientation already routine in other areas of medicine.","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"258-268"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142018165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","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 novel fluorescently labelled ligand for the detection of DAT in immune cells by flow cytometry. 一种新型荧光标记配体，可通过流式细胞仪检测免疫细胞中的 DAT。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 DOI: 10.1038/s41386-024-01935-x

Gisela Andrea Camacho-Hernandez, Amy Hauck Newman

引用次数: 0

Pump the brakes: identifying neurobiological targets to enhance inhibitory control in drug addiction. 踩刹车：确定神经生物学靶点，加强对药物成瘾的抑制控制。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 DOI: 10.1038/s41386-024-01928-w

Ahmet O Ceceli, Rita Z Goldstein

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Rewiring the brain: Inflammation's impact on glutamate and neural networks in depression. 重新连接大脑：炎症对谷氨酸和抑郁症神经网络的影响。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 DOI: 10.1038/s41386-024-01921-3

Ebrahim Haroon, Andrew H Miller

引用次数: 0

Resting state functional brain connectivity in child and adolescent psychiatry: where are we now? 儿童和青少年精神病学中的静息状态大脑功能连接：我们现在在哪里？

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 Epub Date: 2024-05-22 DOI: 10.1038/s41386-024-01888-1

Lucina Q Uddin, F Xavier Castellanos, Vinod Menon

{"title":"Resting state functional brain connectivity in child and adolescent psychiatry: where are we now?","authors":"Lucina Q Uddin, F Xavier Castellanos, Vinod Menon","doi":"10.1038/s41386-024-01888-1","DOIUrl":"10.1038/s41386-024-01888-1","url":null,"abstract":"Approaching the 30th anniversary of the discovery of resting state functional magnetic resonance imaging (rsfMRI) functional connectivity, we reflect on the impact of this neuroimaging breakthrough on the field of child and adolescent psychiatry. The study of intrinsic functional brain architecture that rsfMRI affords across a wide range of ages and abilities has yielded numerous key insights. For example, we now know that many neurodevelopmental conditions are associated with more widespread circuit alterations across multiple large-scale brain networks than previously suspected. The emergence of population neuroscience and effective data-sharing initiatives have made large rsfMRI datasets publicly available, providing sufficient power to begin to identify brain-based subtypes within heterogeneous clinical conditions. Nevertheless, several methodological and theoretical challenges must still be addressed to fulfill the promises of personalized child and adolescent psychiatry. In particular, incomplete understanding of the physiological mechanisms driving developmental changes in intrinsic functional connectivity remains an obstacle to further progress. Future directions include cross-species and multimodal neuroimaging investigations to illuminate such mechanisms. Data collection and harmonization efforts that span multiple countries and diverse cohorts are urgently needed. Finally, incorporating naturalistic fMRI paradigms such as movie watching should be a priority for future research efforts.","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"196-200"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525794/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141081939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying dysfunctional cell types and circuits in animal models for psychiatric disorders with calcium imaging. 利用钙成像技术识别精神疾病动物模型中功能失调的细胞类型和回路。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 Epub Date: 2024-08-09 DOI: 10.1038/s41386-024-01942-y

Mark M Gergues, Lahin K Lalani, Mazen A Kheirbek

{"title":"Identifying dysfunctional cell types and circuits in animal models for psychiatric disorders with calcium imaging.","authors":"Mark M Gergues, Lahin K Lalani, Mazen A Kheirbek","doi":"10.1038/s41386-024-01942-y","DOIUrl":"10.1038/s41386-024-01942-y","url":null,"abstract":"A central goal of neuroscience is to understand how the brain transforms external stimuli and internal bodily signals into patterns of activity that underlie cognition, emotional states, and behavior. Understanding how these patterns of activity may be disrupted in mental illness is crucial for developing novel therapeutics. It is well appreciated that psychiatric disorders are complex, circuit-based disorders that arise from dysfunctional activity patterns generated in discrete cell types and their connections. Recent advances in large-scale, cell-type specific calcium imaging approaches have shed new light on the cellular, circuit, and network-level dysfunction in animal models for psychiatric disorders. Here, we highlight a series of recent findings over the last ~10 years from in vivo calcium imaging studies that show how aberrant patterns of activity in discrete cell types and circuits may underlie behavioral deficits in animal models for several psychiatric disorders, including depression, anxiety, autism spectrum disorders, and schizophrenia. These advances in calcium imaging in pre-clinical models demonstrate the power of cell-type-specific imaging tools in understanding the underlying dysfunction in cell types, activity patterns, and neural circuits that may contribute to disease and provide new blueprints for developing more targeted therapeutics and treatment strategies.","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"274-284"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141913444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Replicability and generalizability in population psychiatric neuroimaging. 人群精神神经影像学的可复制性和可推广性。

IF 6.6 1区医学

Neuropsychopharmacology Pub Date : 2024-11-01 Epub Date: 2024-08-30 DOI: 10.1038/s41386-024-01960-w

Scott Marek, Timothy O Laumann

{"title":"Replicability and generalizability in population psychiatric neuroimaging.","authors":"Scott Marek, Timothy O Laumann","doi":"10.1038/s41386-024-01960-w","DOIUrl":"10.1038/s41386-024-01960-w","url":null,"abstract":"Studies linking mental health with brain function in cross-sectional population-based association studies have historically relied on small, underpowered samples. Given the small effect sizes typical of such brain-wide associations, studies require samples into the thousands to achieve the statistical power necessary for replicability. Here, we detail how small sample sizes have hampered replicability and provide sample size targets given established association strength benchmarks. Critically, while replicability will improve with larger samples, it is not guaranteed that observed effects will meaningfully apply to target populations of interest (i.e., be generalizable). We discuss important considerations related to generalizability in psychiatric neuroimaging and provide an example of generalizability failure due to \"shortcut learning\" in brain-based predictions of mental health phenotypes. Shortcut learning is a phenomenon whereby machine learning models learn an association between the brain and an unmeasured construct (the shortcut), rather than the intended target of mental health. Given the complex nature of brain-behavior interactions, the future of epidemiological approaches to brain-based studies of mental health will require large, diverse samples with comprehensive assessment.","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"52-57"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142109949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0