Positive affect disrupts neurodegeneration effects on cognitive training plasticity in older adults
Contact Information
Keywords
F Vankee Lin, vankee_lin@stanford.edu
positive affect experience, cognitive training, cognitive plasticity, default mode network, neurodegeneration, mild cognitive impairment
Abstract
Cognitive training for older adults varies in efficacy, but it is unclear why some older adults benefit more than others. positive affect experience (PAE), referring to high positive valence and/or stable arousal states across everyday scenarios, and associated functional networks can protect plasticity mechanisms against Alzheimer’s disease neurodegeneration, which may contribute to training outcome variability. The objective of this study is to investigate whether PAE explains variability in cognitive training outcomes by disrupting the adverse effect of neurodegeneration on plasticity. The study’s design is a secondary analysis of a randomized control trial of cognitive training with concurrent real or sham brain stimulation (39 older adults with mild cognitive impairment; mean age, 71). Moderation analyses, with change in episodic memory or executive function as the outcome, PAE or baseline resting-state connectivity as the moderator and baseline neurodegeneration as the predictor are the methods used in the study. The result of the study is that PAE stability and baseline default mode network (DMN) connectivity disrupted the effect of neurodegeneration on plasticity in executive function but not episodic memory. The study concludes that PAE stability and degree of DMN integrity both explained cognitive training outcome variability, by reducing the adverse effect of neurodegeneration on cognitive plasticity. We highlight the need to account for PAE, brain aging factors and their interactions with plasticity in cognitive training.
Citation
Anthony, M., Turnbull, A., Tadin, D., & Lin, F. V. (2024). Positive affect disrupts neurodegeneration effects on cognitive training plasticity in older adults. Social cognitive and affective neuroscience, 19(1), nsae004. https://doi.org/10.1093/scan/nsae004
DOI
10.1093/scan/nsae004
Model
Human
Conent Area
Mia Anthony
EWB-Related Construct
(3) Positive affect
Study Design
Species or Study Population
(5) RCT
Sex (%Female)
59.00%
Age (Mean, SD)
71.5, 6.96
Younger Controls?
No
Longitudinal Data?
Yes
Sample Size
39
Interventions
4-week anodal tDCS intervention
Ethnicity (%white)
97.4% (non-Hispanic)
Inclusion Criteria
-
Exclusion Criteria
Participants with contraindications (e.g. MRI: pacemaker; tDCS: history of seizures, repetitive motor conditions, skin condition or sensitivity) were excluded
EWB Measures
(1) self Assessment Manikin (SAM)
Non-EWB Behavioral
Measures
(1) Rey’s Auditory Verbal Learning Task (RAVLT), (2) long-term percent retention (LTPR), (3) Brief Visuospatial Memory Test-Revised (BVMT-R)
Physiological Measures
N/A
Brain IMaging Modality
Brain IMaging Paradigm
N/A
Brain Region/Circuit
1. default mode network (DMN):
2. ventral attention network (VAN): Higher VAN FC was positively associated with degree of valence and arousal (i.e. higher mean values) and with valence stability (i.e. lower s.d. values).
3. FPCN
Biological Measures
(1) T1, (4) resting fMRI
Other Neural Measures
Data Availability?
Yes
Data Avalability Details
Imaging pre-processing scripts are available at https://github.com/adamgeorgeturnbull/BEEM. Behavioral data and analysis scripts are available at https://github.com/mmantho/projects/positive affect_cogtrain.
Diagnostic Measures