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通过暗示回忆唤起的大脑活动中不同记忆维度的专业化
Federica Procida1, Matteo Frisoni2, Maria Giulia Tullo3
1Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy; ITAB Institute for Advanced Biomedical Technologies, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy.
NeuroImage
|January 30, 2025
概括
检索特定的记忆细节会以不同的方式招募大脑网络. 前端对称控制网络 (FPCN) 显示一般激活,而默认模式网络 (DMN) 显示不同内存尺寸的专业化,影响性能.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
- 人类的记忆 人类的记忆
背景情况:
- 随机回忆检索事件特征.
- 复杂事件召回引入默认模式网络 (DMN) 和前端对象控制网络 (FPCN).
- 这些网络内对内存维度的专业化尚未得到充分理解.
研究的目的:
- 调查在暗示回忆过程中大脑网络活动在不同的记忆维度中如何变化.
- 确定DMN和FPCN在检索特定记忆特征 (对象,空间,时间,语言) 中的作用.
主要方法:
- 功能磁共振成像 (fMRI) 研究.
- 参与者回忆起编码电视节目的具体细节.
- 评估对象/角色细节的记忆,空间布局,时间序列和口头对话.
主要成果:
- 在所有内存维度中,FPCN中常见的左侧激活.
- 在DMN内对内存维度的更大专业化,特别是后端节点.
- 两个网络的维度相关特异性与内存性能相关.
- 对于大多数维度,DMN显示左向不对称,而FPCN是双边的.
结论:
- 特定的记忆信息处理涉及到关联性皮质区域的马赛克.
- 在记忆检索中,DMN和FPCN表现出不同的专业化和横向化的模式.
- 这些发现支持一个分布式网络模型,用于更高阶的记忆函数.
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