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Wesley D. Spencer

Researcher at University of Memphis

Publications -  6
Citations -  1333

Wesley D. Spencer is an academic researcher from University of Memphis. The author has contributed to research in topics: Brain size & Memory errors. The author has an hindex of 6, co-authored 6 publications receiving 1302 citations.

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Differential effects of aging on memory for content and context: a meta-analysis.

TL;DR: The results of the meta-analysis of 46 studies confirmed the main hypothesis: Age differences in context memory are reliably greater than those in memory for content.
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Selective neuroanatomic abnormalities in Down's syndrome and their cognitive correlates: evidence from MRI morphometry.

TL;DR: The pattern of selective cerebral damage in adults with Down's syndrome does not clearly fit the predictions of the premature aging or Alzheimer's disease hypotheses, and the correlational analysis suggested age-related decline in the DS subjects in general intelligence and basic linguistic skills.
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Memory for facts, source, and context: Can frontal lobe dysfunction explain age-related differences?

TL;DR: Age-related differences in memory for facts, source, and contextual details were examined in healthy young and old volunteers and measures of frontal lobe functions did not predict source memory, but some of these putative frontal function measures were related to memory for contextual details.
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Age-related regional differences in cerebellar vermis observed in vivo.

TL;DR: It appears that phylogenetically more recent vermal regions, which are late to mature and are endowed with more extensive cortical connections, are the most vulnerable to the effects of aging.
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Neuroanatomical correlates of age-sensitive and age-invariant cognitive abilities: An in vivo MRI investigation

TL;DR: The relationship between brain asymmetry and age-related differences in cognitive abilities was examined in a sample of 29 healthy volunteers (18 to 78 years old) in this article, where volumes and areas of cerebral hemispheres as well as several cortical and subcortical regions were estimated from magnetic resonance imaging (MRI) scans.