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Electrophysiological correlates of episodic memory retrieval are material sensitive

Karlsson, Anna LU (2016) PSYP01 20161
Department of Psychology
Abstract
According to dual-process models of recognition memory, an old/new recognition response can be based on a sense of familiarity and/or recollection of contextual details. Two topographically and functionally distinct ERP old/new effects are held as generic indices of familiarity and recollection respectively. However, episodic retrieval is believed to involve neural reactivation of content-specific information and it remains unclear whether the event-related potential (ERP) correlates of episodic memory are modulated by the type of information retrieved. In two test conditions, we recorded electrophysiological brain activity while participants discriminated between old and new items from three different stimulus categories (faces, objects,... (More)
According to dual-process models of recognition memory, an old/new recognition response can be based on a sense of familiarity and/or recollection of contextual details. Two topographically and functionally distinct ERP old/new effects are held as generic indices of familiarity and recollection respectively. However, episodic retrieval is believed to involve neural reactivation of content-specific information and it remains unclear whether the event-related potential (ERP) correlates of episodic memory are modulated by the type of information retrieved. In two test conditions, we recorded electrophysiological brain activity while participants discriminated between old and new items from three different stimulus categories (faces, objects, and words). In the first test condition, we used a randomized mixed presentation design, whereas in the second test condition we used a blocked presentation design. In both conditions, analyses of the electrophysiological data revealed robust ERP old/new effects for all types of material that differed in their qualitative characteristics, including topographical distribution. Our findings suggest that non-overlapping neural mechanisms support retrieval of mnemonic information differing in terms of perceptual and lexical characteristics. (Less)
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author
Karlsson, Anna LU
supervisor
organization
course
PSYP01 20161
year
type
H2 - Master's Degree (Two Years)
subject
keywords
familiarity, material-sensitivity, recognition memory, ERP old/new effects
language
English
id
8890500
date added to LUP
2016-09-14 09:08:32
date last changed
2016-09-14 09:08:32
@misc{8890500,
  abstract     = {According to dual-process models of recognition memory, an old/new recognition response can be based on a sense of familiarity and/or recollection of contextual details. Two topographically and functionally distinct ERP old/new effects are held as generic indices of familiarity and recollection respectively. However, episodic retrieval is believed to involve neural reactivation of content-specific information and it remains unclear whether the event-related potential (ERP) correlates of episodic memory are modulated by the type of information retrieved. In two test conditions, we recorded electrophysiological brain activity while participants discriminated between old and new items from three different stimulus categories (faces, objects, and words). In the first test condition, we used a randomized mixed presentation design, whereas in the second test condition we used a blocked presentation design. In both conditions, analyses of the electrophysiological data revealed robust ERP old/new effects for all types of material that differed in their qualitative characteristics, including topographical distribution. Our findings suggest that non-overlapping neural mechanisms support retrieval of mnemonic information differing in terms of perceptual and lexical characteristics.},
  author       = {Karlsson, Anna},
  keyword      = {familiarity,material-sensitivity,recognition memory,ERP old/new effects},
  language     = {eng},
  note         = {Student Paper},
  title        = {Electrophysiological correlates of episodic memory retrieval are material sensitive},
  year         = {2016},
}