Kumar Uttam, Pandey Himanshu Raj, Dhanik Kalpana, Padakannaya Prakash
Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, Uttar Pradesh, 226014, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Brain Struct Funct. 2025 Jan 9;230(1):28. doi: 10.1007/s00429-025-02892-x.
In this investigation, we delve into the neural underpinnings of auditory processing of Sanskrit verse comprehension, an area not previously explored by neuroscientific research. Our study examines a diverse group of 44 bilingual individuals, including both proficient and non-proficient Sanskrit speakers, to uncover the intricate neural patterns involved in processing verses of this ancient language. Employing an integrated neuroimaging approach that combines functional connectivity-multivariate pattern analysis (fc-MVPA), voxel-based univariate analysis, seed-based connectivity analysis, and the use of sparse fMRI techniques to minimize the interference of scanner noise, we highlight the brain's adaptability and ability to integrate multiple types of information. Our findings from fc-MVPA reveal distinct connectivity patterns in proficient Sanskrit speakers, particularly involving the bilateral inferior temporal, left middle temporal, bilateral orbitofrontal, and bilateral occipital pole. Voxel-based univariate analysis showed significant activation in the right middle frontal gyrus, bilateral caudate nuclei, bilateral middle occipital gyri, left lingual gyrus, bilateral inferior parietal lobules, and bilateral inferior frontal gyri. Seed-based connectivity analysis further emphasizes the interconnected nature of the neural networks involved in language processing, demonstrating how these regions collaborate to support complex linguistic tasks. This research reveals how the brain processes the complex syntactic and semantic elements of Sanskrit verse. Findings indicate that proficient speakers effectively navigate intricate syntactic structures and semantic associations, engaging multiple brain regions in coordination. By examining the cognitive mechanisms underlying Sanskrit verse comprehension, which shares rhythmic and structural features with music and poetry, this study highlights the neural connections between language, culture, and cognition.
在这项研究中,我们深入探究了梵文诗歌理解的听觉处理的神经基础,这是一个神经科学研究此前未涉足的领域。我们的研究考察了44名双语个体组成的多样化群体,包括精通和不精通梵文的人,以揭示处理这种古老语言诗句所涉及的复杂神经模式。我们采用了一种综合神经成像方法,该方法结合了功能连接多变量模式分析(fc-MVPA)、基于体素的单变量分析、基于种子点的连接性分析以及使用稀疏功能磁共振成像技术来最小化扫描仪噪声的干扰,我们突出了大脑整合多种信息的适应性和能力。我们从fc-MVPA得出的结果揭示了精通梵文者独特的连接模式,特别是涉及双侧颞下回、左侧颞中回、双侧眶额皮层和双侧枕极。基于体素的单变量分析显示,右侧额中回、双侧尾状核、双侧枕中回、左侧舌回、双侧顶下小叶和双侧额下回有显著激活。基于种子点的连接性分析进一步强调了语言处理中神经网络的相互连接性质,展示了这些区域如何协作以支持复杂的语言任务。这项研究揭示了大脑如何处理梵文诗歌的复杂句法和语义元素。研究结果表明,精通者能够有效地驾驭复杂的句法结构和语义关联,多个脑区协同参与。通过研究梵文诗歌理解背后的认知机制,梵文诗歌与音乐和诗歌有着节奏和结构上的特征,这项研究突出了语言、文化和认知之间的神经联系。