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A Shared Hippocampal Network in Retrieving Science-related Semantic Memories.
She, Hsiao-Ching; Huang, Li-Yu; Duann, Jeng-Ren.
Affiliation
  • She HC; Institute of Education, National Yang Ming Chiao Tung University, Taiwan, ROC.
  • Huang LY; Graduate Institute of Science Education, National Changhua University of Education, Changhua, Taiwan, ROC.
  • Duann JR; Institute of Education, National Yang Ming Chiao Tung University, Taiwan, ROC.
Int J Neural Syst ; 33(8): 2350034, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37318536
ABSTRACT
In responding to the calls for revisiting the role that hippocampus (HIP) plays in semantic memory retrieval, this study used functional neuroimaging-based connectivity technique to elucidate the functional brain network involved in retrieving the correct and incorrect science-related semantic memories. Unlike episodic memory retrieval, the 40 scientific concepts learned during middle and high school were selected to assess 46 science majors' semantic memory retrieval and correctness monitoring, which requires neither the support of spatial information nor events to retrieve the memory. Our results demonstrated that HIP was significantly and robustly engaged in the semantic memory retrieval of correct scientific concepts than incorrect ones. Importantly, the Granger causality analysis indicated that effective connectivity of [Formula see text] and [Formula see text] was shared by the semantic memory retrieval of both correct and incorrect scientific concepts. On the other hand, the strengths of connectivity in the [Formula see text] and [Formula see text] brain networks appeared more pronounced during the processing of correct scientific concepts than of incorrect ones. The shared hippocampal networks highlight the role of the HIP as a hub to coordinate the INS, ACC, and MTG, in turn, support the semantic memory retrieval of scientific concepts.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Memory, Episodic Language: En Journal: Int J Neural Syst Journal subject: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Memory, Episodic Language: En Journal: Int J Neural Syst Journal subject: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Year: 2023 Document type: Article