Paper
14 April 2012 Neural mechanism underlying autobiographical memory modulated by remoteness and emotion
Ruiyang Ge, Yan Fu, DaHua Wang, Li Yao, Zhiying Long
Author Affiliations +
Abstract
Autobiographical memory is the ability to recollect past events from one's own life. Both emotional tone and memory remoteness can influence autobiographical memory retrieval along the time axis of one's life. Although numerous studies have been performed to investigate brain regions involved in retrieving processes of autobiographical memory, the effect of emotional tone and memory age on autobiographical memory retrieval remains to be clarified. Moreover, whether the involvement of hippocampus in consolidation of autobiographical events is time dependent or independent has been controversial. In this study, we investigated the effect of memory remoteness (factor1: recent and remote) and emotional valence (factor2: positive and negative) on neural correlates underlying autobiographical memory by using functional magnetic resonance imaging (fMRI) technique. Although all four conditions activated some common regions known as "core" regions in autobiographical memory retrieval, there are some other regions showing significantly different activation for recent versus remote and positive versus negative memories. In particular, we found that bilateral hippocampal regions were activated in the four conditions regardless of memory remoteness and emotional valence. Thus, our study confirmed some findings of previous studies and provided further evidence to support the multi-trace theory which believes that the role of hippocampus involved in autobiographical memory retrieval is time-independent and permanent in memory consolidation.
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Ruiyang Ge, Yan Fu, DaHua Wang, Li Yao, and Zhiying Long "Neural mechanism underlying autobiographical memory modulated by remoteness and emotion", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 83170X (14 April 2012); https://doi.org/10.1117/12.910870
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KEYWORDS
Functional magnetic resonance imaging

Cerebellum

Brain

Modulation

Statistical analysis

Scanners

Visualization

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