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Tytuł:
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Classification of general and personal semantic details in the Autobiographical Interview.
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Autorzy:
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Renoult L; School of Psychology, University of East Anglia, Norwich, UK. Electronic address: .
Armson MJ; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Ontario, Canada.
Diamond NB; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Ontario, Canada.
Fan CL; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Ontario, Canada.
Jeyakumar N; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Levesque L; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Oliva L; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada.
McKinnon M; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Ontario, Canada.
Papadopoulos A; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Selarka D; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Ontario, Canada.
St Jacques PL; Department of Psychology, University of Alberta, Alberta, Canada.
Levine B; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Ontario, Canada; Department of Medicine (Neurology), University of Toronto, Ontario, Canada. Electronic address: .
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Źródło:
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Neuropsychologia [Neuropsychologia] 2020 Jul; Vol. 144, pp. 107501. Date of Electronic Publication: 2020 May 21.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: Oxford : Pergamon Press
Original Publication: Oxford.
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MeSH Terms:
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Autobiographies as Topic*
Interviews as Topic*
Memory, Episodic*
Semantics*
Aging/*psychology
Adult ; Aged ; Frontotemporal Dementia/psychology ; Humans ; Mental Recall
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Grant Information:
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MOP-62963 Canada CIHR; MR/S011463/1 United Kingdom MRC_ Medical Research Council
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Contributed Indexing:
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Keywords: Autobiographical facts; Autobiographical interview; Episodic memory; Repeated events; Self-knowledge; Semantic memory
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Entry Date(s):
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Date Created: 20200524 Date Completed: 20210512 Latest Revision: 20210512
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Update Code:
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20240105
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DOI:
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10.1016/j.neuropsychologia.2020.107501
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PMID:
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32445644
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The Autobiographical Interview (AI) separates internal (episodic) and external (non-episodic) details from transcribed protocols using an exhaustive and reliable scoring system. While the details comprising the internal composite are centered on elements of episodic memory, external details are more heterogeneous as they are meant to capture a variety of non-episodic utterances: general semantics, different types of personal semantics details, metacognitive statements, repetitions, and details about off topic events. Elevated external details are consistently observed in aging and in neurodegenerative diseases. In the present study, we augmented the AI scoring system to differentiate subtypes of external details to test whether the elevation of these details in aging and in frontotemporal lobar degeneration (including mixed frontotemporal/semantic dementia [FTD/SD] and progressive non-fluent aphasia [PNFA]) would be specific to general and personal semantics or would concern all subtypes. Specifically, we separated general semantic details from personal semantic details (including autobiographical facts, self-knowledge, and repeated events). With aging, external detail elevation was observed for general and personal semantic details but not for other types of external details. In frontotemporal lobar degeneration, patients with FTD/SD (but not PNFA) generated an excess of personal semantic details but not general semantic details. The increase in personal but not general semantic details in FTD/SD is consistent with prevalent impairment of general semantic memory in SD, and with the personalization of concepts in this condition. Under standard AI instructions, external details were intended to capture off-topic utterances and were not intended as a direct measure of semantic abilities. Future investigations concerned with semantic processing in aging and in dementia could modify standard instructions of the AI to directly probe semantic content.
(Copyright © 2020 Elsevier Ltd. All rights reserved.)
