(Journal of neuroscience methods[TA])
9,793 results
  • Exponent-based hypergraph centrality for identifying vital nodes in higher-order brain networks. [Journal Article]
    J Neurosci Methods. 2026 Sep 24; 437:110914. [Online ahead of print]Wang C, Yan J, … Li ZJN
  • CONCLUSIONS: HEC provides a higher-order centrality measure for ranking vital nodes in hypergraphs and a quantitative tool for retrospective SEEG-based EZ-related network analysis. The results support offline feasibility at the studied SEEG scale, but prospective validation in larger cohorts is required before use in clinical decision-making.
  • A method to quantify ligand-neuron binding in vivo. [Journal Article]
    J Neurosci Methods. 2026 Sep 23; 437:110911. [Online ahead of print]Kaur A, Zhang B, … Li WJN
  • CONCLUSIONS: The unique organization of the RGC layer enables a robust, non-disruptive in vivo ligand-neuron binding assay that preserves native cell-surface receptors. This platform is compatible with ligandomics and can be applied to map disease-selective neuronal ligands, providing a foundation for developing targeted neuroprotective therapies for retinal disorders.
  • A novel paradigm for investigating compulsive-like behavior in rats: Excessive precautionary behavior. [Journal Article]
    J Neurosci Methods. 2026 Sep 23; 437:110904. [Online ahead of print]Erdem SR, Aşut G, … Koçak OMJN
  • CONCLUSIONS: This exploratory study presents preliminary evidence that excessive precautionary behavior is associated with reduced engagement in alternative appetitive activities. However, this relationship remains tentative and requires replication and validation against alternative explanations, such as anxiety-related responding, perseveration, and impaired extinction. Instead of directly modeling obsessive-compulsive disorder, the proposed model may provide a complementary behavioral framework. Further multimodal studies are necessary to clarify its neurobiological basis and translational relevance.
  • AI-powered rodent behavior recognition model for pain research. [Journal Article]
    J Neurosci Methods. 2026 Sep 23; 437:110913. [Online ahead of print]Fan Y, Terio C, … Luo JJN
  • CONCLUSIONS: The AI-powered automated behavioral recognition system may offer an objective, reproducible, and scalable approach to behavioral assessment in rats, and may enhance the translational relevance of preclinical pain research and analgesic development.
  • TopoAdapter: A plug-and-play multi-hop topology adapter for MI-EEG decoding. [Journal Article]
    J Neurosci Methods. 2026 Sep 18; 437:110909. [Online ahead of print]Cai Y, Guo Q, Lin XJN
  • CONCLUSIONS: TopoAdapter provides an explicit, ultra-lightweight spatial prior for motor EEG decoding. Positive mean changes on two motor-imagery datasets, one executed-movement dataset, and seven heterogeneous BCI IV-2a backbones support portability and a favorable cost-benefit profile, while effect magnitude remains dataset- and subject-dependent.