Neural subnetwork signatures distinguishing source and item memory retrieval: A meta-analysis of 66 fMRI studies.

Imaging neuroscience (Cambridge, Mass.) Pub Date : 2025-08-22 eCollection Date: 2025-01-01 DOI:10.1162/IMAG.a.124
Hongkeun Kim
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Abstract

This meta-analysis of 66 functional magnetic resonance imaging (fMRI) studies investigated neural subnetworks underlying source versus item memory retrieval, emphasizing functional distinctions within major intrinsic brain networks. Results revealed clear differences in subnetwork activation patterns between the two retrieval types. Within the Frontoparietal Network, Subnetwork A exhibited stronger activation during source retrieval, highlighting its key role in managing cognitive control processes necessary for complex memory tasks; in contrast, Subnetworks B and C showed minimal or no task-specific engagement. Conversely, within the Default Mode Network, Subnetworks A and B were selectively activated during item memory retrieval, suggesting their contribution to the increased subjective vividness characteristic of simpler recollective experiences, while Subnetwork C remained inactive across both retrieval conditions. Lastly, within the Ventral Attention Network, Subnetwork B-but not Subnetwork A-was more active during source than item memory retrieval, possibly reflecting its specific role in coordinating neural activity under the heightened demands of complex retrieval. Together, these findings advance understanding of subnetwork-specific roles in episodic memory retrieval and highlight the utility of subnetwork-level analyses for uncovering detailed functional specialization within large-scale brain networks.

神经子网络特征区分来源和项目记忆检索:66项功能磁共振成像研究的荟萃分析。
本荟萃分析了66项功能性磁共振成像(fMRI)研究,研究了源记忆和项目记忆检索的神经网络,强调了主要内在大脑网络的功能差异。结果显示,两种检索类型在子网络激活模式上存在明显差异。在额顶叶网络中,子网络A在源检索过程中表现出更强的激活,突出了其在管理复杂记忆任务所需的认知控制过程中的关键作用;相比之下,子网络B和子网络C表现出很少或没有特定任务的参与。相反,在默认模式网络中,子网络A和B在项目记忆检索过程中被选择性地激活,这表明它们有助于提高简单回忆经验的主观生动性特征,而子网络C在两种检索条件下都保持不活跃。最后,在腹侧注意网络中,子网络b在源记忆提取过程中比项目记忆提取过程更活跃,而子网络a则没有,这可能反映了其在复杂提取过程中协调神经活动的特殊作用。总之,这些发现促进了对情景记忆检索中子网特定角色的理解,并强调了子网级分析在揭示大规模大脑网络中详细功能专业化方面的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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