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Characteristics of cognitive function changes in patients with cerebellar infarction

2019· article· en· W3032221400 on OpenAlexaboutno aff
Fan Lin, Duohao Wang, Jingping Shi, Ying Liu

Bibliographic record

VenueChinese Journal of Neuromedicine · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionInfarctionMedicineInternal medicineStroke (engine)CardiologyPsychologyCognitive impairmentMyocardial infarctionPsychiatry

Abstract

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Objective To study the characteristics of cognitive function changes in patients with cerebellar infarction, and to clarify the association between cerebellar infarction and cognitive function. Methods A total of 106 patients with cerebellar infarction, admitted to our hospital from June 2017 to December 2018, and 55 healthy subjects recruited at the same time were chosen. National Institute of Health Stroke Scale (NIHSS) was used to evaluate neurological deficits, and modified International Cooperative Ataxia Rating Scale (ICARS) was used to evaluate balance function. The cognitive function differences of the two groups were compared by Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Patients with cerebellar infarction were divided into different subgroups according to different courses of disease, different infarction sites and different cerebellar hemispheres to further compare the cognitive functions of the subjects. Results (1) In terms of cognitive function evaluation, the scores of MoCA and Rey auditory word learning test (RAVLT) in the cerebellar infarction group were significantly lower than those in the control group, and the time consumption of Trail Making Test (TMT)-B was significantly longer than that in the control group (P<0.05). (2) MoCA and RAVLT scores in the acute cerebellar infarction group were significantly lower than those in the non-acute cerebellar infarction group (P<0.05). (3) There were significant differences in ICARS scores, MoCA scores, RAVLT scores and TMT-B time consumption between the anterior cerebellar infarction group and the posterior cerebellar infarction group (P<0.05). (4) The time consumption of TMT-B of right cerebellar infarction patients was significantly longer ([258.85±55.96] s) than that in left cerebellar infarction patients ([198.22±40.43] s, P<0.05). Conclusions There are cognitive dysfunctions, especially memory and executive function, in patients with cerebellar infarction, which is correlated with the disease period and location of cerebellar infarction, but not with infarct volume. Cognitive dysfunction is more obvious in patients with acute cerebellar infarction, posterior cerebellar infarction and right cerebellar infarction than those in patients with non-acute cerebellar infarction, anterior cerebellar infarction and left cerebellar infarction. Key words: Cerebellum; Stroke; Cognitive dysfunction

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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)0.001
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 score0.036
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.009
GPT teacher head0.226
Teacher spread0.216 · 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
Published2019
Admission routes1
Has abstractyes

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