Showing 121 - 140 results of 142 for search 'decoding brain’s function', query time: 0.08s Refine Results
  1. 121

    Neural, genetic, and cognitive signatures of creativity by Cheng Liu, Kaixiang Zhuang, Daniel C. Zeitlen, Qunlin Chen, Xueyang Wang, Qiuyang Feng, Roger E. Beaty, Jiang Qiu

    Published 2024-10-01
    “…Our findings reveal that DT neural patterns span brain regions associated with diverse cognitive functions, with positive weights in the default mode and frontoparietal control networks and negative weights in the visual network. …”
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    Article
  2. 122

    Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. by Rui Meng, Kristofer E Bouchard

    Published 2024-04-01
    “…The brain produces diverse functions, from perceiving sounds to producing arm reaches, through the collective activity of populations of many neurons. …”
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    Article
  3. 123

    Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis by Lil Meyer-Arndt, Rebekka Rust, Judith Bellmann-Strobl, Tanja Schmitz-Hübsch, Lajos Marko, Sofia Forslund, Michael Scheel, Stefan M. Gold, Stefan Hetzer, Friedemann Paul, Martin Weygandt

    Published 2025-08-01
    “…A machine learning model trained on HPs in a multivariate pattern analysis (MVPA) cross-decoding approach accurately predicts behavioral fear generalization in both MS groups using whole-brain fMRI fear response patterns. …”
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    Article
  4. 124

    Characteristics and prognosis of language impairment in subcortical aphasia of acute stroke patients by Zinan Yuan, Siqi Li, Xinya Chen, Yang Liu, Anji Zheng, Liqun Gao, Zaizhu Han, Yumei Zhang

    Published 2025-07-01
    “…BackgroundSubcortical aphasia, caused by lesions in deep brain structures such as the basal ganglia, thalamus, and periventricular white matter, remains poorly understood due to its heterogeneous clinical presentations and disputed neural mechanisms. …”
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    Article
  5. 125

    TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments by Yanru Bai, Qi Tang, Ran Zhao, Hongxing Liu, Shuming Zhang, Mingkun Guo, Minghan Guo, Junjie Wang, Changjian Wang, Mu Xing, Guangjian Ni, Dong Ming

    Published 2025-04-01
    “…Abstract Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the brain processes language information are still being explored. …”
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    Article
  6. 126

    Modeling peripheral olfactory coding in Drosophila larvae. by Derek J Hoare, James Humble, Ding Jin, Niall Gilding, Rasmus Petersen, Matthew Cobb, Catherine McCrohan

    Published 2011-01-01
    “…This was achieved by creating larvae expressing just one functioning class of odorant receptor, and hence OSN. …”
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  7. 127
  8. 128

    Pre-movement sensorimotor oscillations shape the sense of agency by gating cortical connectivity by Tommaso Bertoni, Jean-Paul Noel, Marcia Bockbrader, Carolina Foglia, Sam Colachis, Bastien Orset, Nathan Evans, Bruno Herbelin, Ali Rezai, Stefano Panzeri, Cristina Becchio, Olaf Blanke, Andrea Serino

    Published 2025-04-01
    “…To test this, we manipulated the relation between intentions and actions in a tetraplegic user of a brain machine interface (BMI), decoding primary motor cortex (M1) activity to restore hand functionality. …”
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  9. 129

    Proactive and reactive construction of memory-based preferences by Jonathan Nicholas, Nathaniel D. Daw, Daphna Shohamy

    Published 2025-02-01
    “…Here we offer a resolution to this inconsistency, demonstrating that these two strategies tradeoff rationally as a function of the associative structure of memory. We use fMRI to decode patterns of brain responses unique to categories of images in memory and find that proactive memory access is more common and allows more efficient inference. …”
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  10. 130

    The Cognitive Neuroplasticity of Reading Recovery following Chronic Stroke: A Representational Similarity Analysis Approach by Simon Fischer-Baum, Ava Jang, David Kajander

    Published 2017-01-01
    “…Do these changes reflect functional take-over, a reorganization of functions in the damaged brain? …”
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  11. 131

    Retinotopic biases in contextual feedback signals to V1 for object and scene processing by Matthew A. Bennett, Lucy S. Petro, Clement Abbatecola, Lars F. Muckli

    Published 2025-06-01
    “…This feedback architecture could reflect the internal mapping in V1 of the brain's endogenous models of the visual environment that are used to predict perceptual inputs.…”
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  12. 132

    Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

    Published 2025-08-01
    “…To improve the accuracy of streamline propagation predictions, we introduce a novel deep learning framework that integrates image-domain spatial information and anatomical information along tracts, with the former extracted through convolutional layers and the latter modeled via a Transformer-decoder. Additionally, we employ a weighted loss function to address fiber class imbalance encountered during training. …”
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  13. 133

    Feature Analysis for Motor Imagery EEG Signals with Different Classification Schemes by Ismail Sarıtas, Esra Kaya

    Published 2023-04-01
    “…A Brain-Computer Interface (BCI) is a communication system that decodes and transfers information directly from the brain to external devices. …”
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  14. 134

    Pivotal Role of FBXW4 in Glioma Progression and Prognosis by Kun Chen, Lei Pu, Yuzuo Hui

    Published 2024-01-01
    “…Glioma stands as one of the most formidable brain tumor types, with patient outcomes remaining bleak even in the face of advancements in treatment modalities. …”
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  15. 135

    Metabolic landscape uncovers remodeling of T cell immunity affected by fatty acid desaturase in Parkinson’s disease at single-cell resolution by Shi Yan, Xue Zhao, Yao Si, Xinyu Zhang, Di Wang, Lifen Yao, Linlin Sun

    Published 2025-08-01
    “…Abstract Background Peripheral activated T cells cross the blood–brain barrier, partake in neuroinflammation, and induce dopaminergic neuron degeneration through characteristics such as cell adhesion and immune response in Parkinson’s disease (PD). …”
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  16. 136

    Dual-task vision transformer for rapid and accurate intracerebral hemorrhage CT image classification by Jialiang Fan, Xinhui Fan, Chengyan Song, Xiaofan Wang, Bingdong Feng, Lucan Li, Guoyu Lu

    Published 2024-11-01
    “…Abstract Intracerebral hemorrhage (ICH) is a severe and sudden medical condition caused by the rupture of blood vessels in the brain, leading to permanent damage to brain tissue and often resulting in functional disabilities or death in patients. …”
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  17. 137

    Bridging molecular and cellular neuroscience with proximity labeling technologies by Jun-Gyu Lee, Inyoung Jeong, Kwang-eun Kim

    Published 2025-07-01
    “…By integrating PL with cutting-edge multi-omics strategies and advanced imaging technologies, researchers can decode the intricate interplay between structural and functional neural networks. …”
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  18. 138
  19. 139

    Unraveling the impact of blood RANKL and OPG levels on Alzheimer's disease: Independent of bone mineral density and inflammation by Xingzhi Guo, Wenzhi Shi, Juanjuan Lu, Peng Tang, Rui Li

    Published 2025-01-01
    “…The receptor activator of nuclear factor kappa‐B ligand (RANKL) and osteoprotegerin (OPG) system, pivotal in regulating bone metabolism, has been implicated in brain function, but the causal impact on AD risk remains unclear. …”
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  20. 140