Investigating the relation between delayed recall and familiarity-based recognition using atlas-based LSM

dc.contributor.advisorLugtmeijer, Selma
dc.contributor.advisorPiai, Vitória
dc.contributor.authorShuja, Tabasum
dc.date.issued2019-11-01
dc.description.abstractEvery year millions of people are affected with post-stroke deficits. These deficits comprise episodic verbal memory processing. Although, extensive research has been done to examine verbal long-term memory, the underlying mechanisms of recall and familiarity-based recognition are not well understood. Therefore, the present study examined the influence of ischemic stroke on recall and recognition memory performance in 115 stroke patients. Verbal long-term memory was examined using Dutch version of the Rey Auditory-Verbal Learning Test and atlas-based LSM analysis was performed to identify neural correlates in white and grey matter underlying recall and recognition memory performance. The current study demonstrated an association between delayed recall and familiarity-based recognition memory, which could suggest they depend on similar processes. Atlasbased LSM did not reveal brain regions that were related to both performances. These results suggest that recall and recognition memory may not depend on one specific neural locus but could be attributed to a complex neural network that could not be detected by LSM. Future studies could gain more insight in the underlying neural mechanisms of verbal episodic memory by investigating brain networks. Keywords: verbal episodic memory, RAVLT, ischemic stroke, atlas-based lesion-symptom mapping
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/14621
dc.language.isoen
dc.thesis.facultyFaculteit der Sociale Wetenschappen
dc.thesis.specialisationspecialisations::Faculteit der Sociale Wetenschappen::Researchmaster Cognitive Neuroscience
dc.thesis.studyprogrammestudyprogrammes::Faculteit der Sociale Wetenschappen::Researchmaster Cognitive Neuroscience
dc.thesis.typeResearchmaster
dc.titleInvestigating the relation between delayed recall and familiarity-based recognition using atlas-based LSM
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