Resting-State Network Plasticity Following Category Learning Depends on Sensory Modality

IF 3.5 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2024-12-25 DOI:10.1002/hbm.70111
Sepideh Tabrik, Hubert R. Dinse, Martin Tegenthoff, Mehdi Behroozi
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Abstract

Learning new categories is fundamental to cognition, occurring in daily life through various sensory modalities. However, it is not well known how acquiring new categories can modulate the brain networks. Resting-state functional connectivity is an effective method for detecting short-term brain alterations induced by various modality-based learning experiences. Using fMRI, our study investigated the intricate link between novel category learning and brain network reorganization. Eighty-four adults participated in an object categorization experiment utilizing visual (n = 41, with 20 females and a mean age of 23.91 ± 3.11 years) or tactile (n = 43, with 21 females and a mean age of 24.57 ± 2.58 years) modalities. Resting-state networks (RSNs) were identified using independent component analysis across the group of participants, and their correlation with individual differences in object category learning across modalities was examined using dual regression. Our results reveal an increased functional connectivity of the frontoparietal network with the left superior frontal gyrus in visual category learning task and with the right superior occipital gyrus and the left middle temporal gyrus after tactile category learning. Moreover, the somatomotor network demonstrated an increased functional connectivity with the left parahippocampus exclusively after tactile category learning. These findings illuminate the neural mechanisms of novel category learning, emphasizing distinct brain networks' roles in diverse modalities. The dynamic nature of RSNs emphasizes the ongoing adaptability of the brain, which is essential for efficient novel object category learning. This research provides valuable insights into the dynamic interplay between sensory learning, brain plasticity, and network reorganization, advancing our understanding of cognitive processes across different modalities.

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类别学习后的静息状态网络可塑性取决于感觉模态。
学习新类别是认知的基础,在日常生活中通过各种感官模式发生。然而,获取新类别如何调节大脑网络还不是很清楚。静息状态功能连接是一种有效的方法,用于检测各种基于模式的学习经验引起的短期大脑变化。本研究利用功能磁共振成像技术研究了新类别学习与大脑网络重组之间的复杂联系。84名成人分别采用视觉(n = 41,女性20人,平均年龄23.91±3.11岁)和触觉(n = 43,女性21人,平均年龄24.57±2.58岁)两种方式进行对象分类实验。静息状态网络(Resting-state network, RSNs)通过独立成分分析在被试组中被识别,并通过对偶回归分析其与不同学习模式下对象类别学习个体差异的相关性。我们的研究结果表明,在视觉类别学习任务中,额顶叶网络与左侧额上回的功能连接增加,在触觉类别学习任务中,额顶叶网络与右侧枕上回和左侧颞中回的功能连接增加。此外,躯体运动网络仅在触觉类别学习后与左侧副海马体的功能连通性增加。这些发现阐明了新类别学习的神经机制,强调了大脑网络在不同模式下的不同作用。rsn的动态特性强调了大脑的持续适应性,这对于有效的新对象类别学习至关重要。本研究为感官学习、大脑可塑性和网络重组之间的动态相互作用提供了有价值的见解,促进了我们对不同模式的认知过程的理解。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
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.
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