Literature DB >> 33658917

Working Memory Training in Amnestic and Non-amnestic Patients With Mild Cognitive Impairment: Preliminary Findings From Genotype Variants on Training Effects.

Susanne S Hernes1,2, Marianne M Flak3,4, Gro C C Løhaugen4, Jon Skranes3,4, Haakon R Hol2,5, Bengt-Ove Madsen1, Anne-Brita Knapskog6, Andreas Engvig7, Are Pripp8, Ingun Ulstein6, Trine Lona9, Xin Zhang10, Linda Chang10,11,12.   

Abstract

Working memory training (WMT) effects may be modulated by mild cognitive impairment (MCI) subtypes, and variations in APOE-epsilon (APOE-ε) and LMX1A genotypes. Sixty-one individuals (41 men/20 women, mean age 66 years) diagnosed with MCI (31 amnestic/30 non-amnestic) and genotyped for APOE-ε and LMX1A completed 4 weeks/20-25 sessions of WMT. Cognitive functions were assessed before, 4 weeks and 16 weeks after WMT. Except for Processing Speed, the non-amnestic MCI group (naMCI) outperformed the amnestic MCI (aMCI) group in all cognitive domains across all time-points. At 4 weeks, working memory function improved in both groups (p < 0.0001), but at 16 weeks the effects only remained in the naMCI group. Better performance was found after training for the naMCI patients with LMX1A-AA genotype and for the APOE-ε4 carriers. Only the naMCI-APOE-ε4 group showed improved Executive Function at 16 weeks. WMT improved working memory and some non-trained cognitive functions in individuals with MCI. The naMCI group had greater training gain than aMCI group, especially in those with LMX1A-AA genotype and among APOE-ε4-carriers. Further research with larger sample sizes for the subgroups and longer follow-up evaluations is warranted.
Copyright © 2021 Hernes, Flak, Løhaugen, Skranes, Hol, Madsen, Knapskog, Engvig, Pripp, Ulstein, Lona, Zhang and Chang.

Entities:  

Keywords:  APOE genotype; Alzheimer; LMX1A; MCI; working memory training

Year:  2021        PMID: 33658917      PMCID: PMC7917210          DOI: 10.3389/fnagi.2021.624253

Source DB:  PubMed          Journal:  Front Aging Neurosci        ISSN: 1663-4365            Impact factor:   5.750


  2 in total

1.  Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach.

Authors:  Tingting Zhang; Qian Liao; Danmei Zhang; Chao Zhang; Jing Yan; Ronald Ngetich; Junjun Zhang; Zhenlan Jin; Ling Li
Journal:  Front Aging Neurosci       Date:  2021-07-30       Impact factor: 5.750

2.  Cortical Thickness Changes After Computerized Working Memory Training in Patients With Mild Cognitive Impairment.

Authors:  Haakon R Hol; Marianne M Flak; Linda Chang; Gro Christine Christensen Løhaugen; Knut Jørgen Bjuland; Lars M Rimol; Andreas Engvig; Jon Skranes; Thomas Ernst; Bengt-Ove Madsen; Susanne S Hernes
Journal:  Front Aging Neurosci       Date:  2022-04-04       Impact factor: 5.702

  2 in total

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