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Record W2538826817 · doi:10.1016/j.jalz.2016.06.535

O3‐05‐05: Cognitive Reserve Modulates Encoding‐Related Neural Response after Memory Training in Individuals with Subjective Cognitive Decline

2016· article· en· W2538826817 on OpenAlexaff
Benjamin Boller, Émilie Ouellet, Samira Mellah, Serge Gauthier, Sylvie Belleville

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsMcGill UniversityInstitut Universitaire de Gériatrie de MontréalUniversité de Montréal
Fundersnot available
KeywordsCognitive reserveCognitionCognitive trainingPsychologyCognitive declineEffects of sleep deprivation on cognitive performanceEpisodic memoryPopulationNeuroplasticityAudiologyFunctional magnetic resonance imagingNeuroscienceMedicineDementiaDiseaseCognitive impairmentInternal medicine

Abstract

fetched live from OpenAlex

A target population for cognitive intervention is individuals with subjective cognitive decline (SCD) as they are at risk of developing Alzheimer’s disease and are complaining about their memory. An important research question is whether the efficacy of cognitive training and underlying brain mechanisms differ from one person to the other. The concept of cognitive reserve which refers to the individuals’ own brain ability to cope against neuropathologic changes may contribute to these differences. One hypothesis is that cognitive reserve has a positive effect on cerebral plasticity that is induced by training. The purpose of the current study was to investigate whether the effect of cognitive training on the brain varies as a function of cognitive reserve in persons with SCD. Twenty-nine older adults with SCD were trained to use an imagery-based strategy, the method of loci, during six one-hour sessions. Neural activity during memory encoding was recorded using functional magnetic resonance imaging before Session 1, after Session 3 and after Session 6. The formal educational level was used to divide participants into those with higher and lower cognitive reserve. High-educated participants showed more memory improvement than those with low education. A 2 (group) by 3 (time) ANOVA also revealed distinct patterns of brain activity changes. After training, high-educated participants showed reduced encoding-related activity in the left superior temporal gyrus whereas low-educated participants showed increased activity in the right superior frontal gyrus. The activation changes in high-educated participants is consistent with a shift from a verbal-based to an image-based encoding within a network specialized for memory. In turn, the increased activation of the prefrontal regions in low-educated participants suggests that the recruitment of active controlled processes is needed to deploy the learned strategy. All together, these results suggest that cognitive reserve might potentialize the effect of cognitive intervention in individuals with SCD by maintaining the specialized network for memory more responsive to training.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.361
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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