Home > Publications Database > Forecasting memory function in aging: pattern-completion ability and hippocampal activity relate to visuospatial functioning over 25 years > print

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024 7 _ |a pmid:32650185
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024 7 _ |a 10.1016/j.neurobiolaging.2020.06.005
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024 7 _ |a 0197-4580
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024 7 _ |a 1558-1497
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037 _ _ |a DZNE-2020-01429
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Nyberg, Lars
|0 0000-0002-3367-1746
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245 _ _ |a Forecasting memory function in aging: pattern-completion ability and hippocampal activity relate to visuospatial functioning over 25 years
260 _ _ |a Amsterdam [u.a.]
|c 2020
|b Elsevier Science
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520 _ _ |a Heterogeneity in episodic memory functioning in aging was assessed with a pattern-completion functional magnetic resonance imaging task that required reactivation of well-consolidated face-name memory traces from fragmented (partial) or morphed (noisy) face cues. About half of the examined individuals (N = 101) showed impaired (chance) performance on fragmented faces despite intact performance on complete and morphed faces, and they did not show a pattern-completion response in hippocampus or the examined subfields (CA1, CA23, DGCA4). This apparent pattern-completion deficit could not be explained by differential hippocampal atrophy. Instead, the impaired group displayed lower cortical volumes, accelerated reduction in mini-mental state examination scores, and lower general cognitive function as defined by longitudinal measures of visuospatial functioning and speed-of-processing. In the full sample, inter-individual differences in visuospatial functioning predicted performance on fragmented faces and hippocampal CA23 subfield activity over 25 years. These findings suggest that visuospatial functioning in middle age can forecast pattern-completion deficits in aging.
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650 _ 2 |a Age Factors
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Aging: physiology
|2 MeSH
650 _ 2 |a Aging: psychology
|2 MeSH
650 _ 2 |a Cognition: physiology
|2 MeSH
650 _ 2 |a Diffusion Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Forecasting
|2 MeSH
650 _ 2 |a Hippocampus: diagnostic imaging
|2 MeSH
650 _ 2 |a Hippocampus: physiology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Memory: physiology
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Pattern Recognition, Visual: physiology
|2 MeSH
650 _ 2 |a Spatial Processing: physiology
|2 MeSH
700 1 _ |a Grande, Xenia
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700 1 _ |a Andersson, Micael
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700 1 _ |a Berron, David
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700 1 _ |a Lundquist, Anders
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700 1 _ |a Stiernstedt, Mikael
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700 1 _ |a Fjell, Anders
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700 1 _ |a Walhovd, Kristine
|0 0000-0003-1918-1123
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700 1 _ |a Orädd, Greger
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773 _ _ |a 10.1016/j.neurobiolaging.2020.06.005
|g Vol. 94, p. 217 - 226
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|t Neurobiology of aging
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856 4 _ |u https://europepmc.org/article/med/32650185
856 4 _ |u https://pub.dzne.de/record/153432/files/DZNE-2020-01429.pdf
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910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
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