多重需求网络中节点程度的与年龄相关的变化预测了流体智能
Lizhi Yu1, Qin Zhang1, Xiaoyang Li1
1Department of Radiology, Taian Municipal Hospital, Taian, Shandong, China.
IBRO neuroscience reports
|September 19, 2024
概括
老龄化减少了流体智力,处理复杂情况的能力. 大脑网络的稳定性,特别是在多重需求网络 (MDN) 中,对于维持整个成年期的认知功能至关重要.
科学领域:
- 神经科学是一个神经科学.
- 认知衰老研究 认知衰老研究
- 大脑网络分析 脑网络分析
背景情况:
- 流体智力对于解决复杂问题至关重要,在成年人中随着年龄的增长自然会下降.
- 这种认知功能依赖于大脑广泛分布的区域的协调活动和结构完整性.
- 了解与年龄相关的大脑连接的变化对于开发针对认知衰退的干预措施至关重要.
研究的目的:
- 为了研究大脑结构连接和流体智能在成年人一生中的关系.
- 确定与年龄相关的流体智力下降相关的特定大脑区域和网络属性.
- 探索多重需求网络 (MDN) 在保持流动智能的作用.
主要方法:
- 利用来自Cam-CAN数据集的454名健康成年人 (18-87岁) 的结构磁共振成像 (sMRI) 数据.
- 构建结构相似性网络,并计算每个参与者的节点中心度.
- 运用斯皮尔曼相关性和部分最小平方 (PLS) 回归来分析年龄,网络属性和流体智能.
主要成果:
- 与年龄相关的中心度的变化在大脑区域之间有所不同,带状皮质和岛皮质增加,轨道前和前中心区域减少.
- 多重需求网络 (MDN) 节点,包括前胰岛和前带状皮质,显示出与流体智能的重要联系.
- 前带状皮层和左侧胰岛的中心度增加部分解释了随着年龄的增长流体智力的下降.
结论:
- 多重需求网络 (MDN) 中的结构稳定性似乎是保持在老化过程中流体智能的关键因素.
- 这些发现突出了与认知衰老相关的特定大脑网络变化,并为未来研究提供了目标.
- 这项研究强调了大脑网络完整性对于维持整个成年期的认知能力的重要性.
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