Neuropsychopharmacology最新文献

{"title":"Harnessing mega-analysis in the era of \"big data\" neuroimaging.","authors":"Luke J Norman, Philip Shaw","doi":"10.1038/s41386-024-01964-6","DOIUrl":"10.1038/s41386-024-01964-6","url":null,"abstract":"","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"332-334"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141982862","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}

{"title":"The promise of precision functional mapping for neuroimaging in psychiatry.","authors":"Damion V Demeter, Deanna J Greene","doi":"10.1038/s41386-024-01941-z","DOIUrl":"10.1038/s41386-024-01941-z","url":null,"abstract":"<p><p>Precision functional mapping (PFM) is a neuroimaging approach to reliably estimate metrics of brain function from individual people via the collection of large amounts of fMRI data (hours per person). This method has revealed much about the inter-individual variation of functional brain networks. While standard group-level studies, in which we average brain measures across groups of people, are important in understanding the generalizable neural underpinnings of neuropsychiatric disorders, many disorders are heterogeneous in nature. This heterogeneity often complicates clinical care, leading to patient uncertainty when considering prognosis or treatment options. We posit that PFM methods may help streamline clinical care in the future, fast-tracking the choice of personalized treatment that is most compatible with the individual. In this review, we provide a history of PFM studies, foundational results highlighting the benefits of PFM methods in the pursuit of an advanced understanding of individual differences in functional network organization, and possible avenues where PFM can contribute to clinical translation of neuroimaging research results in the way of personalized treatment in psychiatry.</p>","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"16-28"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141860429","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}

{"title":"Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry.","authors":"Kenneth Wengler, Paula Trujillo, Clifford M Cassidy, Guillermo Horga","doi":"10.1038/s41386-024-01934-y","DOIUrl":"10.1038/s41386-024-01934-y","url":null,"abstract":"<p><p>Neuromelanin-sensitive MRI is a burgeoning non-invasive neuroimaging method with an increasing number of applications in psychiatric research. This MRI modality is sensitive to the concentration of neuromelanin, which is synthesized from intracellular catecholamines and accumulates in catecholaminergic nuclei including the dopaminergic substantia nigra and the noradrenergic locus coeruleus. Emerging data suggest the utility of neuromelanin-sensitive MRI as a proxy measure for variability in catecholamine metabolism and function, even in the absence of catecholaminergic cell loss. Given the importance of catecholamine function to several psychiatric disorders and their treatments, neuromelanin-sensitive MRI is ideally positioned as an informative and easy-to-acquire catecholaminergic index. In this review paper, we examine basic aspects of neuromelanin and neuromelanin-sensitive MRI and focus on its psychiatric applications in the contexts of mechanistic research and biomarker development. We discuss ongoing debates and state-of-the-art research into the mechanisms of the neuromelanin-sensitive MRI contrast, standardized protocols and optimized analytic approaches, and application of cutting-edge methods such as machine learning and artificial intelligence to enhance the feasibility and predictive power of neuromelanin-sensitive-MRI-based tools. We finally lay out important future directions to allow neuromelanin-sensitive-MRI to fulfill its potential as a key component of the research, and ultimately clinical, toolbox in psychiatry.</p>","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"137-152"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526017/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142004877","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}

{"title":"Is treatment-resistant schizophrenia a neuroimmune condition? Meta-analytic evidence from magnetic resonance spectroscopy.","authors":"Jason Smucny, Cameron S Carter","doi":"10.1038/s41386-024-01932-0","DOIUrl":"10.1038/s41386-024-01932-0","url":null,"abstract":"","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"341-342"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525476/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724094","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}

{"title":"Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.","authors":"Sapolnach Prompiengchai, Katharine Dunlop","doi":"10.1038/s41386-024-01907-1","DOIUrl":"10.1038/s41386-024-01907-1","url":null,"abstract":"<p><p>Treatment outcomes widely vary for individuals diagnosed with major depressive disorder, implicating a need for deeper understanding of the biological mechanisms conferring a greater likelihood of response to a particular treatment. Our improved understanding of intrinsic brain networks underlying depression psychopathology via magnetic resonance imaging and other neuroimaging modalities has helped reveal novel and potentially clinically meaningful biological markers of response. And while we have made considerable progress in identifying such biomarkers over the last decade, particularly with larger, multisite trials, there are significant methodological and practical obstacles that need to be overcome to translate these markers into the clinic. The aim of this review is to review current literature on brain network structural and functional biomarkers of treatment response or selection in depression, with a specific focus on recent large, multisite trials reporting predictive accuracy of candidate biomarkers. Regarding pharmaco- and psychotherapy, we discuss candidate biomarkers, reporting that while we have identified candidate biomarkers of response to a single intervention, we need more trials that distinguish biomarkers between first-line treatments. Further, we discuss the ways prognostic neuroimaging may help to improve treatment outcomes to neuromodulation-based therapies, such as transcranial magnetic stimulation and deep brain stimulation. Lastly, we highlight obstacles and technical developments that may help to address the knowledge gaps in this area of research. Ultimately, integrating neuroimaging-derived biomarkers into clinical practice holds promise for enhancing treatment outcomes and advancing precision psychiatry strategies for depression management. By elucidating the neural predictors of treatment response and selection, we can move towards more individualized and effective depression interventions, ultimately improving patient outcomes and quality of life.</p>","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"230-245"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141476964","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}

{"title":"Reporting checklists in neuroimaging: promoting transparency, replicability, and reproducibility.","authors":"Hamed Ekhtiari, Mehran Zare-Bidoky, Arshiya Sangchooli, Alireza Valyan, Anissa Abi-Dargham, Dara M Cannon, Cameron S Carter, Hugh Garavan, Tony P George, Peyman Ghobadi-Azbari, Christoph Juchem, John H Krystal, Thomas E Nichols, Dost Öngür, Cyril R Pernet, Russell A Poldrack, Paul M Thompson, Martin P Paulus","doi":"10.1038/s41386-024-01973-5","DOIUrl":"10.1038/s41386-024-01973-5","url":null,"abstract":"<p><p>Neuroimaging plays a crucial role in understanding brain structure and function, but the lack of transparency, reproducibility, and reliability of findings is a significant obstacle for the field. To address these challenges, there are ongoing efforts to develop reporting checklists for neuroimaging studies to improve the reporting of fundamental aspects of study design and execution. In this review, we first define what we mean by a neuroimaging reporting checklist and then discuss how a reporting checklist can be developed and implemented. We consider the core values that should inform checklist design, including transparency, repeatability, data sharing, diversity, and supporting innovations. We then share experiences with currently available neuroimaging checklists. We review the motivation for creating checklists and whether checklists achieve their intended objectives, before proposing a development cycle for neuroimaging reporting checklists and describing each implementation step. We emphasize the importance of reporting checklists in enhancing the quality of data repositories and consortia, how they can support education and best practices, and how emerging computational methods, like artificial intelligence, can help checklist development and adherence. We also highlight the role that funding agencies and global collaborations can play in supporting the adoption of neuroimaging reporting checklists. We hope this review will encourage better adherence to available checklists and promote the development of new ones, and ultimately increase the quality, transparency, and reproducibility of neuroimaging research.</p>","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"67-84"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142146042","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}

{"title":"Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future.","authors":"Nathaniel G Harnett, Livia C Merrill, Negar Fani","doi":"10.1038/s41386-024-01901-7","DOIUrl":"10.1038/s41386-024-01901-7","url":null,"abstract":"<p><p>Neuroimaging is a major tool that holds immense translational potential for understanding psychiatric disorder phenomenology and treatment. However, although epidemiological and social research highlights the many ways inequity and representativeness influences mental health, there is a lack of consideration of how such issues may impact neuroimaging features in psychiatric research. More specifically, the potential extent to which racialized inequities may affect underlying neurobiology and impact the generalizability of neural models of disorders is unclear. The present review synthesizes research focused on understanding the potential consequences of racial/ethnic inequities relevant to neuroimaging in psychiatry. We first discuss historical and contemporary drivers of inequities that persist today. We then discuss the neurobiological consequences of these inequities as revealed through current research, and note emergent research demonstrating the impact such inequities have on our ability to use neuroimaging to understand psychiatric disease. We end with a set of recommendations and practices to move the field towards more equitable approaches that will advance our abilities to develop truly generalizable neurobiological models of psychiatric disorders.</p>","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"3-15"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526029/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141432397","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}

{"title":"Advancement in human neuroimaging based on proximity ligation assay in brain disease.","authors":"Dasiel O Borroto-Escuela, Kjell Fuxe","doi":"10.1038/s41386-024-01911-5","DOIUrl":"10.1038/s41386-024-01911-5","url":null,"abstract":"","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"326-327"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525939/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141492758","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}

{"title":"Therapeutic effects of extinction require hippocampal input and BDNF signaling in IL.","authors":"Denisse Paredes, David A Morilak","doi":"10.1038/s41386-024-01948-6","DOIUrl":"10.1038/s41386-024-01948-6","url":null,"abstract":"","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"355-356"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141860430","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}

{"title":"Applying fetal, infant, and toddler (FIT) neuroimaging to understand mental health.","authors":"Marisa N Spann, Dustin Scheinost","doi":"10.1038/s41386-024-01957-5","DOIUrl":"10.1038/s41386-024-01957-5","url":null,"abstract":"","PeriodicalId":19143,"journal":{"name":"Neuropsychopharmacology","volume":" ","pages":"310-311"},"PeriodicalIF":6.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141907227","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}