Individual Differences in Autobiographical Memory

@article{Palombo2018IndividualDI,
  title={Individual Differences in Autobiographical Memory},
  author={Daniela J. Palombo and Signy Sheldon and Brian Levine},
  journal={Trends in Cognitive Sciences},
  year={2018},
  volume={22},
  pages={583-597}
}
The Neural Dynamics of Individual Differences in Episodic Autobiographical Memory
TLDR
It is proposed that superior subjective E-AM and visual EM are associated with greater similarity in static neural organization patterns, potentially indicating greater efficiency in switching, between rest and mental states relevant to encoding perceptual information.
On the relationship between trait autobiographical episodic memory and spatial navigation.
TLDR
The results suggest that trait episodic autobiographical memory and spatial navigation correspond to distinct mental processes.
Psychometric validation of the survey of autobiographical memory: confirmatory factor analysis and network analysis
TLDR
The Survey of Autobiographical Memory is validated using a Multiple Correspondence Analysis as in the original study, a Confirmatory Factor Analysis, and a Network Analysis using two large independent samples, revealing a robust profile of the SAM.
Memory deficits in aphantasics are not restricted to autobiographical memory - Perspectives from the Dual Coding Approach.
TLDR
Evidence was obtained for the influence of visual imagery on all memory components beyond autobiographical memory as well as verbal short-term and long-term memory in congenital aphantasics and demographically matched controls.
Older adults with lower autobiographical memory abilities report less age-related decline in everyday cognitive function
TLDR
Congenitally low trait-level episodic AM may paradoxically confer a functional advantage in aging, due to well-developed non-episodic strategies not present in those with higher abilities, who are more sensitive to age-related memory decline attributable to medial temporal lobe changes.
Neurophysiological signatures in the retrieval of individual autobiographical memories of real-life episodic events
TLDR
A convolution network-based algorithm is implemented for the selection of the stimuli while monitoring participants’ memory retrieval with scalp EEG recordings over three periods of time after encoding (1 week, 2 weeks, and 6 to 12 months).
When I relive a positive me: Vivid autobiographical memories facilitate autonoetic brain activation and enhance mood
TLDR
The vividness of the memory seemingly distinguished a more immersed and more distant manner of memory reliving, when reliving positive memories higher vividness facilitated increased prereflective autonoetic consciousness, which likely is instrumental in boosting mood.
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