2016
DOI: 10.1590/1413-812320152111.17452015
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Stress and Cognitive Reserve as independent factors of neuropsychological performance in healthy elderly

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Cited by 15 publications
(17 citation statements)
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“…For the interpretation of this result it might be important to underline that education was also the only CR index to significantly correlate with SDMT performance [ r (91) = 0.24, p = 0.02]. It is possible to speculate that a high education level protects against speed of processing decline, in line with the literature ( Cabral et al, 2016 ; Ihle et al, 2016 ). This would also be consistent with biological accounts of processing speed linking this construct to white matter integrity ( Kerchner et al, 2012 ; Haász et al, 2013 ; Kuznetsova et al, 2016 ); also the original conceptualization of brain reserve, and subsequently CR, began with studies observing the beneficial effects of high education on brain pathologies affecting white matter connectivity ( Katzman et al, 1988 ; Katzman, 1993 ).…”
Section: Discussionsupporting
confidence: 72%
See 1 more Smart Citation
“…For the interpretation of this result it might be important to underline that education was also the only CR index to significantly correlate with SDMT performance [ r (91) = 0.24, p = 0.02]. It is possible to speculate that a high education level protects against speed of processing decline, in line with the literature ( Cabral et al, 2016 ; Ihle et al, 2016 ). This would also be consistent with biological accounts of processing speed linking this construct to white matter integrity ( Kerchner et al, 2012 ; Haász et al, 2013 ; Kuznetsova et al, 2016 ); also the original conceptualization of brain reserve, and subsequently CR, began with studies observing the beneficial effects of high education on brain pathologies affecting white matter connectivity ( Katzman et al, 1988 ; Katzman, 1993 ).…”
Section: Discussionsupporting
confidence: 72%
“…Also research on non-pathological aging population is inconsistent on this point. Cabral et al (2016) found a relation between CR and EFs; however, CR was operationalized only with measures of education (years of education, school failure, school attendance), or strictly related to it (reading books, newspapers and number of languages spoken). When using a more complex CR questionnaire, correlations with EFs or related functions sometimes fail to emerge ( Puccioni and Vallesi, 2012b ; Léon et al, 2014 ; Arcara et al, 2017 ).…”
Section: Discussionmentioning
confidence: 94%
“…NIBS techniques improve cognitive function in low performers to a greater extent than in high performers, as reported in the meta-analysis by Hsu et al (2015). Because cognitive reserve correlates with cognitive performance in healthy populations (Cabral et al, 2016), these results are consistent with the hypothesis that individuals with low cognitive reserve will experience greater cognitive benefits from NIBS protocols than individuals with high cognitive reserve. In this context, a recent tDCS study conducted by Brosnan et al (2017) revealed that targeting the right frontoparietal network, which plays an important role in supporting cognitive reserve (Robertson, 2013(Robertson, , 2014, increased the processing speed of items appearing on the left hemifield during a visual attention task.…”
Section: A Rationale For Weighting the Subcomponents Of Multimodal Prsupporting
confidence: 79%
“…In addition to a standardized memory complaints questionnaire (Benedet and Seisdedos, 1996 ), all the participants conducted an exhaustive neuropsychological evaluation to ensure that they performed within normal parameters and memory complaints were not objectively observed in a standardized neuropsychological assessment. In addition, years of education (reported in Table 1 ) were considered as proxy variable of cognitive reserve in order to avoid differences between groups in this variable, as cognitive reserve is thought to modulate executive functions (Corral et al, 2006 ; Cabral et al, 2016 ).…”
Section: Methodsmentioning
confidence: 99%