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000153432 0247_ $$2doi$$a10.1016/j.neurobiolaging.2020.06.005
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000153432 037__ $$aDZNE-2020-01429
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000153432 1001_ $$00000-0002-3367-1746$$aNyberg, Lars$$b0$$eCorresponding author
000153432 245__ $$aForecasting memory function in aging: pattern-completion ability and hippocampal activity relate to visuospatial functioning over 25 years
000153432 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2020
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000153432 520__ $$aHeterogeneity 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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000153432 650_2 $$2MeSH$$aAge Factors
000153432 650_2 $$2MeSH$$aAged
000153432 650_2 $$2MeSH$$aAged, 80 and over
000153432 650_2 $$2MeSH$$aAging: physiology
000153432 650_2 $$2MeSH$$aAging: psychology
000153432 650_2 $$2MeSH$$aCognition: physiology
000153432 650_2 $$2MeSH$$aDiffusion Magnetic Resonance Imaging
000153432 650_2 $$2MeSH$$aFemale
000153432 650_2 $$2MeSH$$aForecasting
000153432 650_2 $$2MeSH$$aHippocampus: diagnostic imaging
000153432 650_2 $$2MeSH$$aHippocampus: physiology
000153432 650_2 $$2MeSH$$aHumans
000153432 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000153432 650_2 $$2MeSH$$aMale
000153432 650_2 $$2MeSH$$aMemory: physiology
000153432 650_2 $$2MeSH$$aMiddle Aged
000153432 650_2 $$2MeSH$$aPattern Recognition, Visual: physiology
000153432 650_2 $$2MeSH$$aSpatial Processing: physiology
000153432 7001_ $$0P:(DE-2719)2812729$$aGrande, Xenia$$b1$$udzne
000153432 7001_ $$aAndersson, Micael$$b2
000153432 7001_ $$0P:(DE-2719)2812972$$aBerron, David$$b3$$udzne
000153432 7001_ $$aLundquist, Anders$$b4
000153432 7001_ $$aStiernstedt, Mikael$$b5
000153432 7001_ $$aFjell, Anders$$b6
000153432 7001_ $$00000-0003-1918-1123$$aWalhovd, Kristine$$b7
000153432 7001_ $$aOrädd, Greger$$b8
000153432 773__ $$0PERI:(DE-600)1498414-3$$a10.1016/j.neurobiolaging.2020.06.005$$gVol. 94, p. 217 - 226$$p217 - 226$$tNeurobiology of aging$$v94$$x0197-4580$$y2020
000153432 8564_ $$uhttps://europepmc.org/article/med/32650185
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