Li, H.-J., Hou, X.-H., Liu, H.-H., Yue, C.-L., Lu, G.-M. and Zuo, X.-N. (2015) Putting Age-Related Task Activation into Large-Scale Brain Networks: A Meta-Analysis of 114 fMRI Studies on Healthy Aging. Neuroscience & Biobehavioral Reviews, 57, 156-174.
https://doi.org/10.1016/j.neubiorev.2015.08.013

has been cited by the following article:

• TITLE: Computerized Cognitive Training in Healthy Older Adults: Baseline Cognitive Level and Subjective Cognitive Concerns Predict Training Outcome

  AUTHORS: Elke Kalbe, Christophe Bintener, Anja Ophey, Christian Reuter, Stefan Göbel, Silvie Klöters, Gisela Baller, Josef Kessler

  KEYWORDS: Computerized Cognitive Training, Older Adults, Subjective Cognitive Decline, Psychoeducation, Predictors

  JOURNAL NAME: Health, Vol.10 No.1, January 4, 2018

  ABSTRACT: Computerized cognitive training (CCT) can improve cognition in older adults. However, specific programs for this target group have rarely been developed, and predictors of training success are largely unclear. In a randomized controlled pilot trial, we examined effects of a six-week CCT, tailored to the cognitive profile of healthy older adults (EG, n = 21) as compared to a nonspecific CCT (CG, n = 18) matched in frequency and intensity. No interaction effects between Group and Time were found. However, within-group analysis showed significant gains in verbal and non-verbal memory, executive and visuospatial functions and subjective cognitive concerns (SCC) in the EG, while the CG only benefitted in non-verbal memory and set-shifting. Low cognitive performance and lower SCC at baseline were the most consistent predictors of cognitive gains in the EG. Thus, CCTs specifically tailored to older adults seem advantageous compared to non-specific CCT. Further, we conclude that SCC may be related to reduced cognitive plasticity.