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Record W4396577328 · doi:10.17116/jnevro202412404225

Impairment of attention and executive functions in chronic cerebrovascular disease and Alzheimer’s disease

2024· article· en· W4396577328 on OpenAlexaboutno aff
O. O. Martynova, В. В. Захаров

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseMedicineExecutive dysfunctionExecutive functionsCardiologyCognitive impairmentNeuroscienceInternal medicinePsychologyCognitionNeuropsychology

Abstract

fetched live from OpenAlex

Objective. To establish specific features of executive functions (EF) impairment and attention in vascular cognitive impairment (VCI) and Alzheimer’s disease (AD). Material and methods. Eighty people (over the age of 50) diagnosed with cerebrovascular disease (CVD) and AD, as well as 29 healthy volunteers (control group), were examined. The following neuropsychological methods were used to study the quantitative and qualitative characteristics of cognitive impairments: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), EXIT-25, Frontal Assessment Battery (FAB), Clock Drawing Test, «12 Words» test, verbal associations (literal and categorical) method, Trail Making Test A and B, Symbol-Digit Modalities Test (SDMT), Stroop Test, and Benton Visual Retention Test. Mandatory inclusion criteria in the study included having a completed magnetic resonance imaging (MRI) of the brain (in T1, T2, FLAIR, DWI, SWI modes) within 1 year before enrollment in one of the groups. Results. No significant differences in age, sex, and level of education were found between the groups. Groups AD and CVD were also comparable in the severity of cognitive impairment overall. Attention and working memory deficits were observed in both CVD and AD, with slightly more pronounced deficits in the AD group. Qualitative analysis of individual components of working memory revealed that both CVD and AD groups had comparable cognitive control impairment compared to the control group, while AD was characterized by a more significant decrease in intellectual flexibility compared to CVD. Sustained attention was equally impaired among patients in the CVD and AD groups, with a significant difference from the control group (p<0.05). In terms of memory, it was found that auditory-verbal memory and semantic memory were significantly more affected in AD, while visual memory was impaired in both conditions. Conclusion. Attention and EF impairments are not specific to the «subcortical» type of cognitive disorders. Already in the early stages, AD is characterized by a significant impairment of attention and EF, and such a component of EF as intellectual flexibility suffers at the onset of AD to a greater extent than in VCI. Memory impairments are not specific to AD; already at the onset of VCI, visual memory impairment comparable to AD is noted. The obtained data can be used for early neuropsychological diagnosis and differential diagnosis of dementing cerebral diseases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.294
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

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