Tabrik Sepideh, Dinse Hubert R, Tegenthoff Martin, Behroozi Mehdi
Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany.
Institute of Cognitive Neuroscience, Department of Biopsychology, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.
Hum Brain Mapp. 2024 Dec 15;45(18):e70111. doi: 10.1002/hbm.70111.
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.
学习新类别是认知的基础,在日常生活中通过各种感官模态发生。然而,目前尚不清楚获取新类别如何调节大脑网络。静息态功能连接是检测基于各种模态学习经验引起的短期大脑变化的有效方法。利用功能磁共振成像(fMRI),我们的研究调查了新颖类别学习与大脑网络重组之间的复杂联系。84名成年人参与了一项物体分类实验,其中41人利用视觉模态(20名女性,平均年龄23.91±3.11岁),43人利用触觉模态(21名女性,平均年龄24.57±2.58岁)。通过对参与者群体进行独立成分分析来识别静息态网络(RSNs),并使用双回归检验其与跨模态物体类别学习中个体差异的相关性。我们的结果显示,在视觉类别学习任务中,额顶叶网络与左额上回的功能连接增加,在触觉类别学习后,与右枕上回和左颞中回的功能连接增加。此外,体感运动网络仅在触觉类别学习后与左海马旁回的功能连接增加。这些发现揭示了新颖类别学习的神经机制,强调了不同大脑网络在不同模态中的作用。静息态网络的动态性质强调了大脑持续的适应性,这对于高效学习新颖物体类别至关重要。这项研究为感觉学习、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,推进了我们对不同模态认知过程的理解。