Group-guided individual functional parcellation of the hippocampus and application to normal aging,Human Brain Mapping

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Group-guided individual functional parcellation of the hippocampus and application to normal aging
Human Brain Mapping ( IF 3.5 ) Pub Date : 2021-09-16 , DOI: 10.1002/hbm.25662
Jiang Zhang ₁ , Dundi Xu ₁ , Hongjie Cui ₁ , Tianyu Zhao ₁ , Congying Chu ₂ , Jiaojian Wang ₃

Affiliation

Aging is closely associated with cognitive decline affecting attention, memory and executive functions. The hippocampus is the core brain area for human memory, learning, and cognition processing. To delineate the individual functional patterns of hippocampus is pivotal to reveal the neural basis of aging. In this study, we developed a group-guided individual parcellation approach based on semisupervised affinity propagation clustering using the resting-state functional magnetic resonance imaging to identify individual functional subregions of hippocampus and to identify the functional patterns of each subregion during aging. A three-way group parcellation was yielded and was taken as prior information to guide individual parcellation of hippocampus into head, body, and tail in each subject. The superiority of individual parcellation of hippocampus is validated by higher intraregional functional similarities by compared to group-level parcellation results. The individual variations of hippocampus were associated with coactivation patterns of three typical functions of hippocampus. Moreover, the individual functional connectivities of hippocampus subregions with predefined target regions could better predict age than group-level functional connectivities. Our study provides a novel framework for individual brain functional parcellations, which may facilitate the future individual researches for brain cognitions and brain disorders and directing accurate neuromodulation.

中文翻译：

团体指导的个体海马功能分割及其在正常衰老中的应用

衰老与影响注意力、记忆力和执行功能的认知衰退密切相关。海马体是人类记忆、学习和认知处理的核心大脑区域。描绘海马体的个体功能模式对于揭示衰老的神经基础至关重要。在这项研究中，我们开发了一种基于半监督亲和传播聚类的群体引导个体分割方法，该方法使用静息态功能磁共振成像来识别海马的各个功能亚区，并在衰老过程中识别每个亚区的功能模式。产生了一个三向组分割，并将其作为先验信息，以指导每个受试者将海马体单独分割为头部、身体和尾部。与组级分割结果相比，海马个体分割的优越性通过更高的区域内功能相似性得到验证。海马的个体差异与海马三种典型功能的共激活模式有关。此外，具有预定义目标区域的海马亚区域的个体功能连接可以比组级功能连接更好地预测年龄。我们的研究为个体大脑功能分割提供了一个新的框架，这可能有助于未来对大脑认知和大脑疾病的个体研究，并指导准确的神经调节。海马的个体差异与海马三种典型功能的共激活模式有关。此外，具有预定义目标区域的海马亚区域的个体功能连接可以比组级功能连接更好地预测年龄。我们的研究为个体大脑功能分割提供了一个新的框架，这可能有助于未来对大脑认知和大脑疾病的个体研究，并指导准确的神经调节。海马的个体差异与海马三种典型功能的共激活模式有关。此外，具有预定义目标区域的海马亚区域的个体功能连接可以比组级功能连接更好地预测年龄。我们的研究为个体大脑功能分割提供了一个新的框架，这可能有助于未来对大脑认知和大脑疾病的个体研究，并指导准确的神经调节。

更新日期：2021-11-17

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