Behavioural and neurophysiological signatures in the retrieval of individual memories of recent and remote real-life routine episodic events
Autor: | Lluís Fuentemilla, Mariella Dimiccoli, Petia Radeva, Berta Nicolás, Josué García-Arch, Cristina Saiz-Masvidal, Xiongbo Wu, Joanna Sierpowska, Carles Soriano-Mas |
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Přispěvatelé: | Ministerio de Economía y Competitividad (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Institut de Robòtica i Informàtica Industrial |
Rok vydání: | 2021 |
Předmět: |
Cognitive Neuroscience
Memory Episodic Experimental and Cognitive Psychology Electroencephalography Theta power 050105 experimental psychology Memòria autobiogràfica 03 medical and health sciences 0302 clinical medicine Clinical trials Theta rhythm Encoding (memory) medicine Humans 0501 psychology and cognitive sciences EEG Recognition memory Cued speech Neuro- en revalidatiepsychologie Recall medicine.diagnostic_test Autobiographical memory 05 social sciences Neuropsychology and rehabilitation psychology Recognition Psychology Pattern clustering Neurophysiology ERPs Neuropsychology and Physiological Psychology Mental Recall Electroencefalografia Cues Psychology Wearable camera 030217 neurology & neurosurgery Ciències de la salut [Àrees temàtiques de la UPC] Cognitive psychology Assaigs clínics |
Zdroj: | Cortex, 141, 128-143 Cortex, 141, pp. 128-143 Digital.CSIC. Repositorio Institucional del CSIC instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Dipòsit Digital de la UB Universidad de Barcelona |
ISSN: | 0010-9452 |
Popis: | Autobiographical memory (AM) has been largely investigated as the ability to recollect specific events that belong to an individual's past. However, how we retrieve real-life routine episodes and how the retrieval of these episodes changes with the passage of time remain unclear. Here, we asked participants to use a wearable camera that automatically captured pictures to record instances during a week of their routine life and implemented a deep neural network-based algorithm to identify picture sequences that represented episodic events. We then asked each participant to return to the lab to retrieve AMs for single episodes cued by the selected pictures 1 week, 2 weeks and 6–14 months after encoding while scalp electroencephalographic (EEG) activity was recorded. We found that participants were more accurate in recognizing pictured scenes depicting their own past than pictured scenes encoded in the lab, and that memory recollection of personally experienced events rapidly decreased with the passing of time. We also found that the retrieval of real-life picture cues elicited a strong and positive ‘ERP old/new effect’ over frontal regions and that the magnitude of this ERP effect was similar throughout memory tests over time. However, we observed that recognition memory induced a frontal theta power decrease and that this effect was mostly seen when memories were tested after 1 and 2 weeks but not after 6–14 months from encoding. Altogether, we discuss the implications for neuroscientific accounts of episodic retrieval and the potential benefits of developing individual-based AM exploration strategies at the clinical level. This work was supported by Ministerio de Ciencia e Innovación, which is part of Agencia Estatal de Investigación, through the project PSI2016-80489-P and PID2019-111199GB-I00 (Co-funded by European Regional Development Fund. ERDF, a way to build Europe) and by ICREA Academia, to L.F. P.R. is supported by TIN2018-095232-B-C21, SGR-2017 1742, Greenhabit EIT Digital program. We thank CERCA Programme/Generalitat de Catalunya for institutional support. We thank the Editor and two anonymous reviewers for their constructive criticisms, remarks and advices. |
Databáze: | OpenAIRE |
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