Neuroscience Applied最新文献

{"title":"Positive effects of brief body exercises on mood: An interventional EMA study","authors":"Lea Nitzpon ,&nbsp;Johanna Rehder ,&nbsp;Richard Hohmann ,&nbsp;Carlotta Kunst ,&nbsp;Rika Gross ,&nbsp;Claudio R. Nigg ,&nbsp;Markus Reichert ,&nbsp;Marcus Müller","doi":"10.1016/j.nsa.2026.106999","DOIUrl":"10.1016/j.nsa.2026.106999","url":null,"abstract":"<div><div>Short bouts of physical activity in daily life are associated with affective well-being and may promote mental health. However, the causality and differential effects of distinct physical activity types remain unknown. This study investigated how different brief exercises (cardio, fascia training, breathing, progressive muscle relaxation, yoga, body awareness) influence three mood dimensions: energetic arousal, valence and calmness. Using an interventional Ecological Momentary Assessment (EMA) design, we assessed momentary mood states before and after brief smartphone-based exercise intervention in daily life of 100 participants (females = 52, males = 48, mean age = 32.83). We found overall positive within-person effects of the intervention on energetic arousal (b = 1.69, <em>p</em> = .06), valence (b = 1.80, <em>p</em> &lt; .001) and calmness (b = 9.29, <em>p</em> &lt; .001). Furthermore, results showed that within-person pre-intervention negative mood served as a significant moderator, i.e., energetic arousal increased (b = .19, <em>p</em> = .04), while the effect on calmness (b = .12, <em>p</em> = .06) remained stable across mood states. For valence, the benefit of the intervention slightly attenuated when momentary negative mood was high (b = −.11, <em>p</em> = .04). In addition, specific exercise types produced differential effects: energetic arousal increased most following cardio and fascia training, while calmness increased across all exercise types. Improvements in valence were most pronounced in breathing, yoga, and fascia training. These findings suggest that individualized exercise selection may differentially influence mood responses and highlight the potential of targeted, context-sensitive interventions to optimize affective well-being in daily life. If replicated in patient samples, the findings promise high value for the prevention and intervention of mental health, especially for affective disorders.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106999"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial tryptophan metabolites modulate blood-brain and gut barriers in vitro","authors":"Cristina Rosell-Cardona ,&nbsp;Emily G. Knox ,&nbsp;Paula Sánchez-Díaz ,&nbsp;Sarah-Jane Leigh ,&nbsp;Emanuela Tirelli ,&nbsp;Michael S. Goodson ,&nbsp;Nancy Kelley-Loughnane ,&nbsp;María R. Aburto ,&nbsp;Sarah Kittel-Schneider ,&nbsp;John F. Cryan ,&nbsp;Gerard Clarke","doi":"10.1016/j.nsa.2025.106876","DOIUrl":"10.1016/j.nsa.2025.106876","url":null,"abstract":"<div><div>The gut microbiota influences brain function via the gut-brain axis, but the underlying molecular processes remain unclear. Critical to this communication are barrier systems, such as the epithelial gut and the blood-brain barrier, which mediate the interface between circulating signals and gut-brain communication. Microbial metabolites are key mediators of the gut microbiota that can influence barrier integrity. In this study, we used well-established <em>in vitro</em> models of the blood-brain and gut barriers and exposed them to a wide range of physiologically relevant stress-associated microbial metabolites, including tryptophan-derived metabolites with and without lipopolysaccharide (LPS) as a disrupting insult. We demonstrated that indole, indole-3-acetate, indole-3-propionate and tryptamine can modulate both gut and brain barriers in a dose- and cell-type dependent manner. Our findings suggest that specific indole metabolites should be further evaluated as promising novel therapeutic interventions to regulate barrier integrity along the microbiota-gut-brain axis.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106876"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning for immune biomarkers in severe mental illness: a systematic review","authors":"Rayan Slatni ,&nbsp;Federica Colombo ,&nbsp;Paolo Enrico ,&nbsp;Igor Branchi ,&nbsp;Livia De Picker ,&nbsp;Benedetta Vai","doi":"10.1016/j.nsa.2026.107003","DOIUrl":"10.1016/j.nsa.2026.107003","url":null,"abstract":"<div><div>The integration of machine learning (ML) approaches with immune biomarker research may facilitate the identification of candidate markers for achieving personalized medicine approaches in severe mental illnesses (SMI). This systematic review synthesizes the available evidence on ML algorithms applied to immune biomarkers in major depressive (MDD), bipolar (BD) and schizophrenic spectrum disorders (SZ), examining their performance across different clinical uses including diagnostic, prediction, monitoring, prognostic categories, in accordance with the Food and Drug Administration - Biomarker, EndpointS, and other Tools (FDA BEST) framework. We performed a PRISMA-compliant systematic search of PubMed, Web of Science, Scopus and PsycINFO databases until 14 July 2025, including 43 eligible studies with a total sample of 11,556 participants, 8339 with SMI (3228 MDD, 2614 BD and 2497 SZs) and 3217 healthy controls. We systematically described population, ML input data (including blood collection conditions, pre-processing steps, sample type, laboratory assay, missing data, and multimodality), and algorithms (supervised versus unsupervised models, feature selection, validation strategy, outcomes, and performance metrics). Overall, ML models showed moderate to high but heterogeneous performance. Diagnostic applications were the most common (AUC = 0.650–0.990), though predictive, monitoring, and prognostic uses were underrepresented and more variable. Across disorders, pro-inflammatory markers (IL-6, IL-8, TNF-α, IFN-γ, CRP) and IL-10 emerged most consistently, and data-driven approaches suggested shared immune subtypes beyond categorical diagnoses. However, substantial methodological and biological heterogeneity was observed, including inconsistent handling of missing data, limited external validation, and variable feature selection. Immunology-specific sources of variability (such as fasting status, circadian rhythms, and measurement batch effects) were rarely addressed, and the long-term stability of immune-based ML signatures remains largely unexplored. These gaps currently limit clinical translation and underscore the need for standardized protocols and more rigorous ML pipelines.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 107003"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147739731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Striking a balance: A proposed benefit assessment matrix for ethical animal research","authors":"Anton Bespalov ,&nbsp;Ulrich Dirnagl ,&nbsp;Chantelle Ferland-Beckham ,&nbsp;Javier Guillén ,&nbsp;Kathy Laber ,&nbsp;Patricia V. Turner ,&nbsp;Penny Reynolds","doi":"10.1016/j.nsa.2025.105527","DOIUrl":"10.1016/j.nsa.2025.105527","url":null,"abstract":"<div><div>The debate about the continued use of animals in research has intensified in recent years, with few signs that consensus can be achieved in the near future. Animal activist groups and their supporters call for an immediate halt to all animal research. The counterargument from research scientists and many others across various facets of society is that suitable alternatives have not been sufficiently established and validated to enable all animal research to cease without halting scientific progress. We suggest a compromise rooted in the existing regulations and based on the consensus that not all research efforts contribute enough benefit to ethically justify the use of animals in research.</div><div>More specifically, we describe a Benefit Assessment Matrix that can provide a streamlined and practical guide for both scientists and Animal Ethics Committees or equivalent bodies such as Institutional Animal Care and Use Committees to assess the benefit of proposed research. The organizational premise is that rigorous high-quality research is more likely to produce tangible benefit than poor quality, low rigor research. Implementation of the Benefit Assessment Matrix will enable more rapid phasing out of poor-quality research and support the objective of promoting rigorous high-quality research, meeting expectations of both sides of the debate.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 105527"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exogenous ketones reduce anxiety and enhance competitive confidence: a randomized crossover trial using virtual reality","authors":"B. Keweloh ,&nbsp;S. Cionca ,&nbsp;A. Zierep ,&nbsp;C. Sandi ,&nbsp;S.Q. Park","doi":"10.1016/j.nsa.2026.106937","DOIUrl":"10.1016/j.nsa.2026.106937","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106937"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-reported benefits and harms of microdosing with natural psilocybin: preliminary results from a naturalistic study","authors":"I. Totomanova ,&nbsp;E.C.H.M. Haijen ,&nbsp;P.P.M. Hurks ,&nbsp;N.L. Mason ,&nbsp;J.G. Ramaekers ,&nbsp;K.P.C. Kuypers","doi":"10.1016/j.nsa.2026.106942","DOIUrl":"10.1016/j.nsa.2026.106942","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106942"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The common genetic and molecular background of insulin resistance and cognitive functions","authors":"A. Martone ,&nbsp;N. Roth Mota ,&nbsp;B. Šakić ,&nbsp;M. Klein ,&nbsp;J. Bralten ,&nbsp;G. Fanelli","doi":"10.1016/j.nsa.2026.106943","DOIUrl":"10.1016/j.nsa.2026.106943","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106943"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ventral striatum control of spatial memory consolidation in the hippocampus","authors":"L. Costantini ,&nbsp;C. Sturiale ,&nbsp;M. Santoboni ,&nbsp;F. De Iuliis ,&nbsp;E. Centofante ,&nbsp;C. Stacchiola ,&nbsp;S. Gasparini ,&nbsp;E. Mombelli ,&nbsp;G. Torromino ,&nbsp;A. Rinaldi ,&nbsp;A. Mele","doi":"10.1016/j.nsa.2026.106945","DOIUrl":"10.1016/j.nsa.2026.106945","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106945"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glutamatergic metabolites and resting-state connectivity in psychosis risk: a combined multi-voxel MRS and fMRI study","authors":"A. Gee ,&nbsp;A. Kiemes ,&nbsp;S.R. Knight ,&nbsp;N.R. Livingston ,&nbsp;P.B. Lukow ,&nbsp;D.J. Lythgoe ,&nbsp;B. Haege ,&nbsp;N. Vorontsova ,&nbsp;J. Donocik ,&nbsp;J. Davies ,&nbsp;E.A. Rabiner ,&nbsp;M.B. Wall ,&nbsp;T.J. Spencer ,&nbsp;A. De Micheli ,&nbsp;P. Fusar-Poli ,&nbsp;A.A. Grace ,&nbsp;S.C. Williams ,&nbsp;P. McGuire ,&nbsp;P. Dazzan ,&nbsp;G. Modinos","doi":"10.1016/j.nsa.2026.106958","DOIUrl":"10.1016/j.nsa.2026.106958","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106958"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inhibitory control event-related fields as predictive biomarkers for binge drinking in adolescents","authors":"L. Lopez Abad ,&nbsp;D. Shpakivska Bilan ,&nbsp;A. Del Cerro León ,&nbsp;M. Uceta ,&nbsp;L. Antón Toro ,&nbsp;R. Bruña ,&nbsp;L.M. García Moreno ,&nbsp;F. Maestú","doi":"10.1016/j.nsa.2026.106962","DOIUrl":"10.1016/j.nsa.2026.106962","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106962"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}