Yu Zhou, Liang Zhang, Nikolai Axmacher, Daniel Pacheco Estefan, Dahui Wang, Yujian Dai, Xiaojing Peng, Shixiang Liu, Gui Xue
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引用次数: 0
Abstract
Mounting evidence suggests that information processing in the visual hierarchy involves a progression from low-level perceptual to high-level conceptual features during visual perception, and a reverse traversal during memory retrieval. However, the nature of this processing hierarchy and its modulation by selective attention remain unclear. By using the drift-diffusion model, we found that slower reaction times for conceptual versus perceptual tasks were primarily due to differences in decision boundaries and nondecision times, which were not compensated by faster evidence accumulation for conceptual features. Using single-trial multivariate decoding of magnetoencephalography (MEG) data, we tracked the temporal dynamics of feature representation during visual perceptual and mnemonic tasks. During perception, selective attention reversed the onset times of perceptual and conceptual features in occipital and parietal lobes, enabling earlier detection of conceptual features. Stronger theta oscillation interactions between occipital and temporal regions during task preparation correlated with earlier onset times of target features in the occipital lobe. During retrieval, selective attention led to earlier peak times for perceptual compared to conceptual features in the frontal lobe. These findings provide novel insights into the dynamic nature of hierarchical processing during perception and memory retrieval, highlighting the critical role of selective attention in modulating information accumulation speed.
期刊介绍:
Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged.
Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.