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The effect of leukoencephalopathy on cognitive function in patients with acute cerebral infarction

2014· article· en· W3031356931 on OpenAlexaboutno aff
Hou Yu, 娄伟, 张彬彬, Yu Byeong Min

Bibliographic record

VenueChin J Postgrad Med · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLeukoencephalopathyMontreal Cognitive AssessmentCognitionMedicineInternal medicineHyperintensityCardiologyPhysical therapyMagnetic resonance imagingCognitive impairmentPsychiatryRadiology

Abstract

fetched live from OpenAlex

Objective To investigate the effect of different parts leukoencephalopathy on cognitive function in patients with acute cerebral infarction,and analyze the relationship between injury site of cholinergic pathways and cognitive function.Methods Ninety-seven patients with acute cerebral infarction were divided into leukoencephalopathy group (59 cases) and non-leukoencephalopathy group (38 cases)according to the cranial MRI T2 scanning.The all patients of 2 groups were evaluated by cholinergic pathways hyperintensities scale (CHIPS) and reforming Scheltens scale.The cognitive function of all patients were evaluated by Montreal cognitive assessment (MoCA).The difference of the cognitive function between 2 groups was observed,and the relationship between CHIPS score,reforming Scheltens scale score and MoCA score was investigated.Results There were statistical differences in MoCA total score and visuospatial/execution,memory,attention score between leukoencephalopathy group and non-leukoencephalopathy group [(20.86 ± 4.52) scores vs.(23.47 ± 4.49) scores,(3.80 ± 1.68) scores vs.(3.11 ± 1.47) scores,(2.78 ±1.57) scores vs.(1.95 ± 1.80) scores,(4.00 ± 2.08) scores vs.(3.87 ± 2.04) scores] (P < 0.01 or < 0.05).There were statistical differences in CHIPS score and reforming Scheltens scale score between cognitive dysfunction group (35 cases)and non-cognitive dysfunction group (24 cases)[(47.77 ± 12.36) scores vs.(39.83 ±7.98) scores,(5.14 ± 1.73) scores vs.(2.58 ±2.10) scores] (P <0.01).There was negative correlation between MoCA total score and frontal periventricular score,occipital periventricular score,parietal lobe score,periventricular total score,deep alba total score and reforming Scheltens scale total score (P <0.01).There was negative correlation between visuospatial/execution score,attention score,fixing score,MoCA total score and CHIPS score (P < 0.01).There was negative correlation between attention score,fixing score,MoCA total score and reforming Scheltens scale score (P < 0.01).Conclusions In acute cerebral infarction patients leukoencephalopathy is probably related to cognitive function,and the severity of leukoencephalopathy correlates with the degree of cognitive function impairment.Different parts leukoencephalopathy can induce different influence on cognitive function.The cognitive function impairment caused by leukoencephalopathy correlates with the impairment of cholinergic pathways,with main effects of visuospatial/execution function,and the severity correlates with the impairment of cholinergic pathways. Key words: Brain infarction;  Leukoencephalopathy;  Cognitive function;  Cholinergic pathways hyperintensities scale

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.112
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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.

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".

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Citations0
Published2014
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Has abstractyes

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