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      Neural correlates of retrieval-based enhancement of autobiographical memory in older adults

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          Abstract

          Lifelog photo review is considered to enhance the recall of personal events. While a sizable body of research has explored the neural basis of autobiographical memory (AM), there is limited neural evidence on the retrieval-based enhancement effect on event memory among older adults in the real-world environment. This study examined the neural processes of AM as was modulated by retrieval practice through lifelog photo review in older adults. In the experiment, blood-oxygen-level dependent response during subjects’ recall of recent events was recorded, where events were cued by photos that may or may not have been exposed to a priori retrieval practice (training). Subjects remembered more episodic details under the trained relative to non-trained condition. Importantly, the neural correlates of AM was exhibited by (1) dissociable cortical areas related to recollection and familiarity, and (2) a positive correlation between the amount of recollected episodic details and cortical activation within several lateral temporal and parietal regions. Further analysis of the brain activation pattern at a few regions of interest within the core remember network showed a training_condition × event_detail interaction effect, suggesting that the boosting effect of retrieval practice depended on the level of recollected event details.

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          Region of interest analysis for fMRI.

          A common approach to the analysis of fMRI data involves the extraction of signal from specified regions of interest (or ROI's). Three approaches to ROI analysis are described, and the strengths and assumptions of each method are outlined.
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            Brain networks underlying episodic memory retrieval.

            The importance of the medial temporal lobe to episodic memory has been recognized for decades. Recent human fMRI findings have begun to delineate the functional roles of different MTL regions, most notably the hippocampus, for the retrieval of episodic memories. Importantly, these studies have also identified a network of cortical regions--each interconnected with the MTL--that are also consistently engaged during successful episodic retrieval. Along with the MTL these regions appear to constitute a content-independent network that acts in concert with cortical regions representing the contents of retrieval to support consciously accessible representations of prior experiences. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Functional neuroimaging of autobiographical memory.

              Functional neuroimaging studies of autobiographical memory have grown dramatically in recent years. These studies are important because they can investigate the neural correlates of processes that are difficult to study using laboratory stimuli, including: (i) complex constructive processes, (ii) recollective qualities of emotion and vividness, and (iii) remote memory retrieval. Constructing autobiographical memories involves search, monitoring and self-referential processes that are associated with activity in separable prefrontal regions. The contributions of emotion and vividness have been linked to the amygdala and visual cortex respectively. Finally, there is evidence that recent and remote autobiographical memories might activate the hippocampus equally, which has implications for memory-consolidation theories. The rapid development of innovative methods for eliciting personal memories in the scanner provides the opportunity to delve into the functional neuroanatomy of our personal past.
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                Author and article information

                Contributors
                qxu@i2r.a-star.edu.sg
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 January 2020
                29 January 2020
                2020
                : 10
                : 1447
                Affiliations
                [1 ]ISNI 0000 0004 0637 0221, GRID grid.185448.4, Institute for Infocomm Research, Agency for Science, , Technology and Research, ; Singapore, Singapore
                [2 ]ISNI 0000 0004 0393 4167, GRID grid.452254.0, Singapore BioImaging Consortium, Agency for Science, Technology and Research, ; Singapore, Singapore
                [3 ]A*STAR Human-Centric Artificial Intelligence Programme, Singapore, Singapore
                [4 ]ISNI 0000 0004 0546 0241, GRID grid.19188.39, Department of Psychology, , National Taiwan University, ; Taipei, Taiwan
                Author information
                http://orcid.org/0000-0002-4276-5939
                http://orcid.org/0000-0002-3758-1975
                http://orcid.org/0000-0002-5853-6321
                Article
                58076
                10.1038/s41598-020-58076-6
                6989450
                31996715
                d91e1a35-2eaa-4b7a-8e59-c40fb005868e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 May 2019
                : 8 January 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001348, Agency for Science, Technology and Research (A*STAR);
                Award ID: 1335h0009
                Award ID: 1335h0009
                Award ID: 1335h0009
                Award ID: 1335h0009
                Award ID: 1335h0009
                Award ID: 1335h0009
                Award ID: 1335h0009
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                Award ID: 1335h0009
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                © The Author(s) 2020

                Uncategorized
                long-term memory,human behaviour
                Uncategorized
                long-term memory, human behaviour

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